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Research Article
Open Access

Prognostic Evaluation of Epidermal Growth Factor Receptor (EGFR) Genotype and Phenotype Parameters in Triple-negative Breast Cancers

SOFIA LEVVA, VASSILIKI KOTOULA, IOANNIS KOSTOPOULOS, KYRIAKI MANOUSOU, CHRISTOS PAPADIMITRIOU, KYRIAKI PAPADOPOULOU, SOTIRIS LAKIS, KYRIAKOS KOUKOULIAS, VASILIOS KARAVASILIS, GEORGE PENTHEROUDAKIS, EUFEMIA BALASSI, FLORA ZAGOURI, IOANNIS G. KAKLAMANOS, DIMITRIOS PECTASIDES, EVANGELIA RAZIS, GERASIMOS ARAVANTINOS, PAVLOS PAPAKOSTAS, DIMITRIOS BAFALOUKOS, GRIGORIOS RALLIS, HELEN GOGAS and GEORGE FOUNTZILAS
Cancer Genomics & Proteomics May 2017, 14 (3) 181-195;
SOFIA LEVVA
1Department of Medical Oncology, Papageorgiou Hospital, Aristotle University of Thessaloniki, School of Health Sciences, Faculty of Medicine, Thessaloniki, Greece
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  • For correspondence: dr.slevva@gmail.com hecogoff@otenet.gr
VASSILIKI KOTOULA
2Department of Pathology, Aristotle University of Thessaloniki, School of Health Sciences, Faculty of Medicine, Thessaloniki, Greece
3Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece
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IOANNIS KOSTOPOULOS
3Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece
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KYRIAKI MANOUSOU
4Section of Biostatistics, Hellenic Cooperative Oncology Group, Data Office, Athens, Greece
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CHRISTOS PAPADIMITRIOU
5Department of Clinical Therapeutics, Alexandra Hospital, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
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KYRIAKI PAPADOPOULOU
3Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece
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SOTIRIS LAKIS
3Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece
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KYRIAKOS KOUKOULIAS
3Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece
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VASILIOS KARAVASILIS
1Department of Medical Oncology, Papageorgiou Hospital, Aristotle University of Thessaloniki, School of Health Sciences, Faculty of Medicine, Thessaloniki, Greece
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GEORGE PENTHEROUDAKIS
6Department of Medical Oncology, Ioannina University Hospital, Ioannina, Greece
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EUFEMIA BALASSI
7Department of Pathology, Hatzikosta Hospital, Ioannina, Greece
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FLORA ZAGOURI
5Department of Clinical Therapeutics, Alexandra Hospital, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
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IOANNIS G. KAKLAMANOS
8Department of Surgery, Agii Anargiri Hospital, University of Athens, School of Health Sciences, Athens, Greece
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DIMITRIOS PECTASIDES
9Oncology Section, Second Department of Internal Medicine, Hippokration Hospital, Athens, Greece
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EVANGELIA RAZIS
10Third Department of Medical Oncology, Hygeia Hospital, Athens, Greece
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GERASIMOS ARAVANTINOS
11Second Department of Medical Oncology, Agii Anargiri Cancer Hospital, Athens, Greece
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PAVLOS PAPAKOSTAS
12Oncology Unit, Hippokration Hospital, Athens, Greece
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DIMITRIOS BAFALOUKOS
13First Department of Medical Oncology, Metropolitan Hospital, Piraeus, Greece
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GRIGORIOS RALLIS
1Department of Medical Oncology, Papageorgiou Hospital, Aristotle University of Thessaloniki, School of Health Sciences, Faculty of Medicine, Thessaloniki, Greece
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HELEN GOGAS
14First Department of Medicine, Laiko General Hospital, National and Kapodistrian University of Athens School of Medicine, Athens, Greece
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GEORGE FOUNTZILAS
3Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece
15Aristotle University of Thessaloniki, Thessaloniki, Greece
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Abstract

Background: Epidermal growth factor receptor (EGFR) aberrations have been implicated in the pathogenesis of triple-negative breast cancer (TNBC) but their impact on prognosis and, therefore, druggability, remain controversial. Herein, we studied EGFR aberrations at different molecular levels and assessed their prognostic impact in patients with operable TNBC treated with adjuvant anthracycline-based chemotherapy. Materials and Methods: We evaluated the prognostic impact of EGFR gene status by fluorescent in situ hybridization (FISH), EGFR coding mutations by Sanger and next-generation sequencing, relative EGFR messenger RNA (mRNA) levels by qPCR (upper quartile) and EGFR and p53 protein expression by immunohistochemistry (IHC), in 352 centrally-assessed tumors from an equal number of TNBC patients. Results: Approximately 53.5% of the tumors expressed EGFR, 59.3% p53 and 35.9% both EGFR and p53 proteins; 4.1% showed EGFR gene amplification and 4.4% carried EGFR mutations. The latter were located outside the druggable kinase domain region and presented at low frequencies. Amplification and mutations overlapped only in one case of glycogen-rich carcinoma. EGFR and CEN7 copies were higher in tumors from older patients (p=0.002 and p=0.003, respectively). Patients with amplified tumors (n=11) had excellent prognosis (0 relapses and deaths). Upon multivariate analysis, high EGFR copies conferred significantly favorable disease-free survival (HR=0.57, 95% CI 0.36-0.90, Wald's p=0.017) and high CEN7 copies favorable overall survival (HR=0.49, 95% CI=0.29-0.83, Wald's p=0.008). Patients with EGFR−/p53+ and EGFR+/p53− tumors had significantly higher risk for relapse than those with EGFR−/p53− and EGFR+/p53+ tumors (HR=1.73, 95% CI=1.12-2.67, Wald's p=0.013). Conclusion: EGFR gene amplification and mutations are rare in TNBC, the latter of no apparent clinical relevance. Surrogate markers of EGFR-related chromosomal aberrations and combined EGFR/p53 IHC phenotypes appear to be associated with favorable prognosis in patients with operable TNBC receiving conventional adjuvant chemotherapy.

  • EGFR
  • TNBC
  • p53
  • CEN7
  • FISH
  • immunohistochemistry

TNBC lacks expression of estrogen receptor (ER), progesterone receptor (PgR) and over-expression of human epidermal growth factor receptor 2 (HER2), diminishing the response from targeted therapies other than chemotherapy and presenting the worst prognosis among all breast cancer subtypes (1). It is now clear that TNBC is a clinically and molecularly heterogeneous disease (2, 3). No established markers exist significantly associated with prognosis. Gene expression analysis has categorized TNBC into 6 subtypes with different prognosis, namely basal-like 1 and 2 (BL1 & BL2), immunomodulatory (IM), mesenchymal (M), mesenchymal stem-like (MSL) and luminal androgen receptor (LAR) or apocrine (4). Possible differential sensitivity to chemotherapy and targeted agents has been tested in several clinical trials (5, 6). More recently, another subtype has been described, called claudin-low, mostly composed of “M” and “MSL” subtypes (7, 8). “BL1”, “BL2”, “IM” and “M” subtypes are mainly associated with carcinomas with basal features, while “LAR” consists of luminal and HER2 subtypes (8). However, TNBC subtyping is difficult to apply in routine clinical practice due to cost and infrastructure availability.

Basal-like or basal-type tumors are tumors expressing high levels of myoepithelial-cell type cytokeratins (CK5/6, CK 14, CK 17, CK8/18), displaying high proliferative activity and adverse pathological characteristics e.g. high histological grade, high mitotic index, central scar, tumor necrosis, squamous metaplasia and stromal lymphocytic infiltration as well as enhanced expression of p53, vimentin and EGFR (9-14). EGFR expression has been well studied in breast cancer and occurs more frequently in TNBC, where it has been associated with poor prognosis (9, 15). At least three lines of experimental evidence support the stimulating effect of EGFR in oncogenesis; its up-regulation and aberrant activation in many human epithelial cancers, its co-expression with its natural ligands in the same tumor tissues and finally, the inhibitory effect in tumor growth of a number of anti-EGFR agents, including small-molecule inhibitors and EGFR-neutralizing monoclonal antibodies (16-22) (23).

The prognostic value of EGFR protein expression, EGFR gene copy number and EGFR hotspot mutations in breast cancer have been investigated in several studies (15, 24-26). However, a study comparing EGFR alterations at various molecular levels has not been reported for TNBC. Herein, we examined the prognostic role of EGFR protein expression by immunohistochemistry, EGFR gene amplification by fluorescence in situ hybridization (FISH), EGFR mRNA expression by quantitative PCR (qPCR) and EGFR gene mutations. In addition, because we have previously shown that TNBC frequently express p53 protein (27), we also assessed this marker along with EGFR protein expression.

Materials and Methods

Using the Hellenic Cooperative Oncology Group registry data, we identified 352 women with early high-risk triple-negative breast cancer treated with adjuvant chemotherapy with anthracyclines and/or taxanes between 1997 and 2012. Clinicopathological parameters, treatment information, as well as retrospectively collected follow-up data were recorded. All patients had signed informed consent, which allowed the use of their biological material for future research purposes. The study was approved by the Bioethics Committee of the Aristotle University of Thessaloniki School of Medicine and was conducted in accordance with ethical principles stated in the latest version of the Declaration of Helsinki. The study was conducted at the Laboratory of Molecular Oncology of the Hellenic Foundation of Cancer Research, Aristotle University of Thessaloniki School of Medicine and complied with the REMARK recommendations for tumor marker prognostic studies using biological material (28).

Central tumor assessment and tissue microarray (TMA) construction. Formalin-fixed and paraffin-embedded (FFPE) tissues from each patient were obtained. Hematoxylin-eosin (H&E) stained sections from the tissue blocks were reviewed by two experienced breast cancer pathologists who recorded histologic parameters in detail (histopathological type, grade, presence of lymphocytic infiltrations, necrosis) and marked the most tumor dense areas for subsequent TMA construction. Histological grade was evaluated according to the Scarff, Bloom and Richardson system. Tumors were centrally assessed for the triple negative phenotype (ER, PgR and HER2) by IHC and FISH. HER2 status was considered to be positive if HER2 was amplified (ratio >2.2 or copy number >6) by FISH and/or HER2 score of 3+ was obtained by IHC (29). Tumors with inadequate tissue material for further assessment were excluded from the study.

A total of 352 tumors were assembled into low-density TMAs with the use of a manual arrayer (Model I, Beecher Instruments, San Prairie, WI, USA). For the TMA blocks construction, two cores (1.5 mm in diameter) were obtained from representative regions of each tumor and transferred to the recipient block. Each TMA block contained approximately 40 tumor tissue cores and 8-10 neoplastic and non-neoplastic tissue cores as controls for slide-based assays. TMAs were stored at 4°C. A total of eighteen tumor TMAs and nine additional duplicate TMAs were constructed in order to account for cores that were exhausted.

Tumor-infiltrating lymphocytes (TILs) were assessed morphologically on H&E sections. Both stromal TILs and TILs within the tumor nests were evaluated and interpretation of the measurements was defined according to the following semi-quantitative modification of the scoring system proposed by Lee et al.; “0” for none or few scattered lymphocytes (<5% of stroma), “1” for discontinuous peripheral distribution of small lymphocytic aggregates clearly discernible at 100x (6-25%), “2” for moderately organized continuous peripheral distribution of lymphocytes (26-75%), and “3” for marked infiltrations of lymphocytes mimicking a lymphoid organ, nearly always penetrating tumor mass (highly organized) (≥76%) (30, 31). Assessment of TILs was performed both on TMA cores and on whole sections (WS) and the agreement of the results was assessed by Cohen's kappa coefficient. The cases scored 0, 1 or 2 were considered to have low presence of TILs, whereas cases scored 3 were considered to be high. Tertiary lymphoid structures, areas with in situ carcinoma or lobular cancerization that often exhibited regional high TILs, and necrotic areas were not considered.

EGFR protein expression. IHC was applied on serial 2.5 μm thick TMA sections, using Bond Max (Leica Microsystems, Wezlar, Germany) autostainer. Samples with tumor in less than 5% of core surface were considered not interpretable and were excluded from further analysis. IHC staining for ER (ER clone 6F11, Novocastra™, Leica Biosystems), PgR (PgR clone 1A6, Novocastra™), Ki67 (clone MIB-1, Dako™, DK), HER2 (HER2/neu, A0485 polyclonal antibody, Dako™), EGFR (EGFR, clone 31G7, Invitrogen, Camarillo, CA), cytokeratin 5 (clone XM26, Novocastra™) and tumor protein 53 (p53, clone DO-7, Dako™) on each slide was performed as previously described (32, 33). The antigen-antibody complex was visualized using the Bond Polymer Refine Detection kit (DS 9800, Leica Biosystems) and DAB as a chromogen. ER and PgR were considered positive for nuclear positivity in at least 1% of cancer cells (34). Any CK5 specific staining in tumor cells was considered as positive (35). For EGFR, any membrane staining above the background in >1% of tumor cells was interpreted as positive (9). For p53, nuclear staining in ≥10% of tumor cells was considered as positive (33). Based on core availability and method performance, 346 tumors were considered for EGFR protein expression (Figure 1).

EGFR gene amplification. FISH assays were carried out on 4-μm TMA sections. After being deparaffinized, the sections were dehydrated and incubated in 2x SSC for 15 min and digested in pepsin solution for 10 min at 37°C and then rinsed in 2x SSC at room temperature for 5 min. After denaturation at 75°C for 10 min on a hot plate (Dako, DK-2600 Glostrup, Denmark), the ZytoLight® SPEC HER2/TOP2A/CEN17 triple color probe and ZytoLight® SPEC EGFR/CEN7 dual color probe (both from ZytoVision, Bremerhaven, Germany) were then applied on the sections and hybridized overnight in a hybridization oven at 37°C. After post-hybridization washing, the slides were counterstained with DAPI for visualizing the nuclei. For all probes, sequential digital images (5 planes at 1.0 μm) were captured using the Plan Apo VC 100x/1.40 oil objective (Nikon, Japan) with specific filters for each probe. The resulting images were reconstructed using specifically developed software for cytogenetics (XCyto-Gen, ALPHELYS, Plaisir, France) (36).

Figure 1.
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Figure 1.

REMARK diagram of study materials and methods.

EGFR gene status was assessed in 60 non-overlapping nuclei from the invasive part of the tumor, according to the classification proposed by Hirsch et al. (37). This classification employs EGFR gene and CEN7 copies, as well as the EGFR/CEN7 ratio. Thus, FISH results were classified as: (a) negative, for ≤6 copies of the gene in >40% of cells; (b) positive, for >6 copies of the gene in ≥40% of cells; (c) amplified, for EGFR/CEN7 ratio per cell ≥2. EGFR status was not amplified for (a), and amplified for (b) and/or (c). Based on core availability and informative FISH measurements, 298 tumors were analyzed for EGFR gene status (Figure 1).

EGFR mRNA expression. RNA was extracted from TMA cores (5x8um thick sections, total depth per block=0,04 mm) with magnetic beads (VERSANT® Tissue Prep Kit, Siemens Healthcare, Erlangen, Germany). DNase I was added to each extract to remove DNA and ensure the presence of pure RNA for gene expression analysis. cDNA synthesis was performed with random hexamers and SuperScript® III Reverse Transcriptase (Invitrogen™, cat. no. 48190011 and 18080044, respectively). Finally, cDNAs were assessed in duplicate 10 ul reactions in 384-well plates with quantitative Polymerase Chain Reaction (qPCR) in an ABI7900HT system for 45 cycles of amplification (default conditions). For the analysis of EGFR mRNA expression an exon-spanning (exons 20-21) premade Taqman-MGB assay (Hs00193306_m1/NM_005228.3/Applied Biosystems/Life Technologies) was selected. A Taqman-MGB expression assay (Hs00939627_m1/NM_000181.3) targeting β-glucuronidase (GUSB) mRNA was used for the assessment of relative quantification. GUSB was selected as the endogenous reference since it does not seem to be represented in pseudogenes. In addition, GUSB has been independently identified as one of the best preserved mRNA targets in FFPE tissues (38, 39). A commercially available reference RNA derived from multiple transformed cell lines (TaqMan® Control Total RNA, cat. no 4307281, Applied Biosystems) was applied in multiple plate positions in each run as a positive control and for inter-run evaluation of PCR assay efficiency. No-template controls were also included. Samples were run in duplicates. To obtain linear Relative Quantification (RQ) values, relative expression was assessed as (40-dCT), whereby dCT (or delta Cycle Threshold, equivalent to Cq in MIQE guidelines) was calculated as (average target CT – (average GUSB CT) from all eligible measurements. Samples were considered eligible for analysis for GUSB CT <36 and delta RQ for each duplicate pair (intra-run variation) of <1. Inter-run RQ values for the reference RNA were <1 for all assays.

Out of 230 originally prepared RNA samples, 177 were considered eligible for relative EGFR mRNA expression (Figure 1). RQ values greater than 39.3 were classified as high expression, which accounted for the upper 25% of the samples in this study.

EGFR genotyping. DNA was extracted from TMA cores magnetic beads as described for RNA above, at a different time point. In the present FFPE series TCC was ≥50% on TMA cores. In total, 298 DNA samples were prepared. These were initially interrogated for classic EGFR mutations in the kinase domain with dd-sequencing. Nested PCR products, M13 coupled with intron spanning primers for exons 18 (GRCh37 coordinates on chr7: 55241512-55241795); exon 19 (55242380-55242570); exon 20 (55248954-55249194); and, exon 21 (55259354-55259591) were cycle sequenced and analyzed in an ABI3130XL system (Applied Biosystems / Life Technologies). Informative results for all targets were obtained in 286 samples. In a separate experimental series, 280 out of these 286 DNA samples had DNA quantity ≥2 ng/μl with the Qubit fluorometer (Life Technologies, Paisley, UK) and were submitted for massively parallel sequencing (NGS) with a previously described panel (40) targeting additional areas in the EGFR coding region (exon 1: 55086912-55087073; 55087034-55087200); exon 7 (55221684-55221843; 55221800-55221948); exon 17 (55240623-55240764); exon 27 (55270177-55270340; 55270285-55270452). Upon library construction and clonal amplification, samples were massively processed on Ion Proton™ Sequencer PI chips (96 samples/chip). For data retrieval, base calling was performed on the Torrent Server using Torrent Suite v3.6.2 and v4.0. Variants were called, annotated (Ion Reporter 1.6), and accepted for analysis at highly stringent setup with read quality filtering at p<0.0001, excluding 63% of all detected variants. Amplicons were checked for sequence specificity and reading quality (IGV). Informative results were obtained for 269 tumors (75.5%). Variants were accepted for position coverage >100 and variant coverage >40 for worst cases. EGFR coding mutations (amino acid changing; minor allele frequency <0.1% in dbSNP) were examined. Informative results for all amplicons were obtained for 270 tumors, which were further processed for EGFR genotype comparison (Figure 1).

Statistical analysis. Categorical data are presented as frequencies and corresponding percentages, while continuous data are presented as mean, standard deviation, median and range values. The Fisher's exact or Pearson Chi-square tests were used for group comparison of categorical data, while for continuous data the non-parametric Mann-Whitney or Kruskal-Wallis tests were used where appropriate. Available follow-up data for 351 patients were recorded and the follow up period ranged from 2 to 190 months. DFS was defined as the interval from the date of diagnosis to the first locoregional recurrence or distant metastasis and overall survival (OS) was defined as the interval from diagnosis until death from any cause or last contact. Locoregional recurrence corresponds to local relapse at the tumor bed and/or to the regional lymph nodes. Patients who survived without relapse were censored at the date of their last contact. Survival curves were estimated using the Kaplan-Meier method and compared across groups with the log-rank test. The associations between factors of interest and relapse/mortality rate were evaluated with hazard ratios estimated with univariate and multivariate Cox proportional hazards models. The optimal cut-off values for Ki67, EGFR and CEN7 copy number variables were selected using ROC (receiver operating characteristic) curve analysis with 3-year DFS as the outcome variable. We chose 3-year DFS rate because the risk of recurrence among TNBCs peaks at 1-3 years (41).

Model choice was performed using backward selection criteria with a removal criterion p=0.15, including in the initial step the following clinical parameters: age (<median vs. ≥median), menopausal status (postmenopausal vs. premenopausal), tumor size (≤2 vs. 2-5 vs. >5 cm), histological grade (I-II vs. III), number of positive nodes (0 vs. ≥4, 1-3 vs. ≥4), adjuvant hormonotherapy (yes vs. no), adjuvant radiotherapy (yes vs. no), Ki67 percent (as a continuous variable) and each of the three EGFR related parameters: EGFR copy numbers, CEN7 copy numbers, combined p53/EGFR variable. The three EGFR related parameters were also entered in a combined model.

The statistical analyses were performed using the SAS software (SAS for Windows, version 9.3, SAS Institute Inc., Cary, NC, USA). Statistical significance was set at 2-sided p=0.05. The statistical analysis complied with the reporting recommendations for tumor marker prognostic studies (42).

Results

Clinicopathological characteristics and immunohistochemical markers. Results for at least one parameter were available in 351 cases (Figure 1). Table I summarizes the patient clinicopathological characteristics and follow-up data of this TNBC cohort. Hormonotherapy had been administered to patients with tumors positive for hormone receptors when assessed locally (approximately 20%). Survival status was updated in June 2014. Survival data were available for 349 cases. After a median follow-up time of 75.7 months (range=2.3-190.4), overall 108 women (30.9%) had relapsed and 88 (25.2%) had died. The median DFS was 166.9 months (95% CI=144.3–not estimable) and the median OS 171.2 months (95% CI=152.1-not estimable).

TILs were evaluable in 306 tumors on TMA cores and in 335 tumors on whole sections. High TILs rates were found in 9.2% and 12.2% of the cases when assessed on TMA cores and whole sections respectively. TILs assessment on cores showed only moderate agreement with assessment on whole sections (Cohen's kappa=46.52%, 95% CI 39.56-53.49). For this reason, we used only the whole section measurements for associations in this study.

EGFR and CK5 protein expression were positive in 53.5% and 71.6% of the cases, respectively. Positivity for these two markers defined the basal phenotype according to the most frequently quoted definition (9), which was found in 283 cases (80.6%), whereas 62.3% of these cases also presented immunopositivity for p53 protein. Detailed information about the immunohistochemical marker measurements with respect to basal phenotype is shown in Supplementary Table I.

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Table I.

Patient and tumor characteristics.

EGFR gene, genotype and mRNA expression analysis. For the entire cohort, mean±standard deviation for EGFR gene copies was 3.2±2.4 (median=2.8, range=1.1-24.6); for CEN7 copies 3.0±1.4 (median=2.8, range=1.2-19.9); and, for EGFR/CEN7 ratio 1.1±0.6 (median=1.0, range=0.3-6.2). Eleven out of 270 evaluable tumors (4.1%) had EGFR gene amplification, 7 presented an EGFR/CEN7 ratio ≥2.0 and 9 EGFR copies >6.0. EGFR mRNA expression values ranged from 34.6 to 45.5 (mean±SD=38.5±1.6). Forty-four patients (25% of evaluable tumors) showed high EGFR mRNA expression (≥39.3).

No mutation was identified in the kinase domain of the 270 tumors with informative results for all interrogated EGFR coding areas, but 17 mutations outside the kinase domain were detected in 12 patients, i.e., 4.4% of evaluable tumors carried a mutation in the EGFR gene. Mutation characteristics are shown in Supplementary Table II. Most had a SNP ID although with 0 or unknown minor allele frequency in the general population; all but two were missense mutations; and, all but one had variant allele frequency <20%, i.e. they were represented in small fractions of the cells in the samples. In one tumor four different mutations in exons 17 and 27 were identified, one of which was silent. The patient was a premenopausal woman with a ductal NOS type grade III adenocarcinoma, pT2N1, Ki67 labeling 93%, event free at 114 months of follow-up. Another patient, a postmenopausal woman with ductal NOS type grade III adenocarcinoma, pT2N2, Ki67 56%, carried three different EGFR mutations in exon 27, one of which was nonsense, resulting in a stop codon and thus in protein truncation. She was lost to follow-up six months after diagnosis.

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Table II.

EGFR genotypes and phenotypic characteristics.

Table II shows the phenotypic characteristics of amplified and mutated tumors. EGFR gene amplification and mutations did not overlap except for one case. This tumor carried a low frequency mutation in exon 27 and had EGFR amplification, high EGFR mRNA expression, EGFR and p53 protein expression positive (Figure 2A-C). The patient was a postmenopausal woman with a grade II glycogen-rich carcinoma, pT2N1, Ki67 labeling 5%, disease-free at 112 months of follow-up.

The agreement of EGFR status with the applied methods, i.e. IHC, mRNA expression, FISH and mutation analysis is shown in Supplementary Table III. Relative EGFR mRNA expression and IHC positivity were strongly correlated. Tumors with amplification were also IHC positive in 9 out of 10 comparable cases and expressed high EGFR mRNA in 7 out of 8 comparable cases (Table II); however, no statistical significance was reached for these comparisons, evidently because of the very low numbers of tumors with gene amplification and mutations in the entire cohort.

Associations of EGFR parameters with clinicopathological characteristics. All examined associations and their detailed description are presented in supplementary Table IV. Higher EGFR and CEN7 copies were found in tumors from older patients (Figure 2D) and similarly in tumors from postmenopausal women (Mann-Whitney's, p=0.037 for EGFR; p=0.006 for CEN7). In the same line, 9/11 EGFR amplified tumors were found in older patients (Fisher's exact, p=0.031). The rate of amplified tumors did not differ with respect to the basal and non-basal phenotype; basal tumors had a relatively higher rate of EGFR mutations, expressed relatively higher EGFR mRNA and were more frequently p53 protein positive as compared to non-basal tumors (Figure 2E). Tumors of larger size (>5 cm) had more frequently relatively high EGFR mRNA expression (11/19 tumors, p=0.005). EGFR protein expression was significantly associated with histological type (p=0.002). More specifically, EGFR IHC positivity was predominant in apocrine and metaplastic but it was less frequent in lobular carcinomas. EGFR and p53 IHC positive tumors had higher Ki67 index as compared to negative tumors (median 52.3 vs. 35.0 and 52.5 vs. 38, respectively; Mann-Whitney's, p-values=0.001). As compared to p53 IHC negative, p53 IHC positive tumors were more frequent in premenopausal patients (48.6% vs. 36.4%, Fisher's exact, p=0.044).

Figure 2.
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Figure 2.

EGFR parameters assessed with different methods. A-C, Example case, a glycogen-rich carcinoma: this tumor was EGFR amplified (A), and was positive for EGFR and p53 proteins with IHC (B and C); furthermore, the same tumor carried an EGFR mutation at 8% frequency and expressed relatively high EGFR mRNA (not shown). D: Significant associations between EGFR and CEN7 copies assessed by FISH with patient age and tumor p53 IHC. E: Associations between EGFR parameters and p53 IHC with the basal phenotype, which was classified based on EGFR and/or CK5 IHC positivity.

In comparison to patients with non-basal tumors, patients with basal tumors more often had low nodal burden (32/62 vs. 200/275, respectively; p=0.006) but significantly higher proliferation index (median Ki67 11.0 vs. 52.3, respectively, Mann-Whitney's p<0.001). Additionally, histological type was associated with basal phenotype (Fisher's exact p<0.001); apocrine (10/12), medullary (20/22) and metaplastic (16/17) histological types were frequently of the basal phenotype but lobular carcinomas were not (4/16).

Because EGFR and p53 protein expression were both associated with the basal phenotype, the first by definition and the second as revealed in the present analysis, we next created a combined variable for these two proteins (Supplementary Table IV), which, except for the associations described for EGFR and p53 proteins was not further associated with any parameter under study.

We then looked for associations between at least one positive result in EGFR parameters (IHC positive and/or mutant and/or high mRNA expression and/or amplified) and the clinicopathological parameters. Histological grade and Ki67 were significantly associated with positivity to at least one EGFR parameter (Supplementary Table V). More specifically, grade III carcinomas were more frequent in tumors positive to at least one EGFR parameter, while those tumors also had higher median Ki67.

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Table III.

Multivariate analysis for EGFR related parameters (backwards selection models) in 243 TNBC patients.

EGFR parameters associated with patient prognosis. Univariate Cox regression analysis results for DFS and OS are shown in Supplementary Table VI and VII, respectively. Patients with small tumor size (T1), low nodal burden (≤3 positive lymph nodes) and high TILs rates presented better prognosis.

With log-rank testing, EGFR amplification was significantly associated with favorable outcome, with no relapses or deaths in the amplified group (Figure 3A and B); however, evidently because this group with only 11 patients corresponded to <5% of the cohort, statistical significance could not be reached for this parameter with Cox analysis (Supplementary Table VI and VII). In the same line, patients with tumors bearing higher EGFR (Figure 3C and D) and CEN7 (Figure 3E and F) copies showed a trend for better DFS and OS. EGFR and CEN7 cutoffs were defined by ROC curve analysis for 3-year DFS and coincided with the median values for these markers. Patients with EGFR mutated tumors had similar DFS and OS as patients without EGFR mutations. Lastly, EGFR mRNA expression did not affect patient outcome.

Next, we compared the combined p53/EGFR variable with survival data. Patients with tumors negative for both proteins fared better than those with tumors expressing either p53 or EGFR; interestingly though, patients with double negative tumors had similar outcomes to those with double positive tumors (Figure 4A and B). One hundred and seventy-four TNBC patients (49.4%) were classified as either double-positive or double-negative for EGFR and p53 protein and showed significantly increased 3-year DFS than patients classified otherwise (Supplementary Table VI).

Figure 3.
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Figure 3.

Impact of EGFR-related chromosomal aberrations on patient outcome. A and B: EGFR gene amplification, no relapses or deaths for the 11 patients in this group; C and D: EGFR copies classified into high/low with 2.62 as a cut-off; E and F: CEN7 copies classified into high/low with 2.65 as a cut-off. Disease-free (DFS) and overall survival (OS) are demonstrated, as indicated.

Figure 4.
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Figure 4.

Impact of combined EGFR/p53 phenotypes on patient outcome. A and B: DFS and OS, are indicated. No difference was observed for either positive phenotypes (p53-negative and EGFR-positive, or, p53-positive and EGFR-negative), while double-positive or double-negative tumors were associated with more favorable DFS but not OS.

Finally, the effects of the three most clinically-relevant EGFR parameters, i.e., EGFR and CEN7 copy numbers, and the binary combined p53/EGFR variable on DFS and OS were estimated, adjusting for standard clinicopathological characteristics and treatment and using backwards selection procedure, in order to examine their significance in the multivariate setting. The three parameters were entered in three separate (Supplementary Table VIII) and one combined (Table III) models. Double p53/EGFR negative or positive tumors and high EGFR gene copies conferred favorable DFS to TNBC patients; these parameters did not retain their significance when analyzed in the same model for OS, while high CEN7 copies were significantly associated with fewer deaths (Table III). As expected, older age, higher nodal burden, larger tumor size and histological grade predicted for favorable DFS and, except for grade, also for OS; TNBC patients treated with adjuvant hormonotherapy based on local ER-positive classification had higher risk for relapse and death, while those treated with adjuvant radiotherapy had significantly more favorable outcome (Table III and Supplementary Table VIII).

All Supplementary Tables have been made publicly available at: http://hecog-images.gr/index.php?dir=/home/gkatak/public_html/TNBC_EGFR_SUPPLEMENTAL_TABLES/

Discussion

The heterogeneity of triple-negative breast cancer has made finding actionable targets and the development of targeted therapies particularly difficult. Several clinical trials tried to target a particular receptor or pathway, including EGFR, in patients with metastatic TNBC but failed to demonstrate a significant benefit (43-47). The result of abnormal EGFR mediation in molecular dysfunction remains unresolved and could be responsible for the failure of these trials together with inadequate patient selection (44). To date, no reliable and standardized methods for the measurement of constitutive activation of EGFR, appropriate for clinical and pathological practices, exist to properly classify patients with TNBC (48). Secq et al. first correlated different procedures, including IHC, silver in situ hybridization (SISH) and qPCR, to evaluate EGFR overexpression and EGFR amplification in TNBC and searched for EGFR mutations within exons 18-21 in TNBC (49). In the present study, we evaluated EGFR status at the chromosomal, genomic, mRNA and protein status.

With respect to EGFR IHC expression, our results are in accordance with the literature, ranging from 42-76% for immunopositivity in TNBC and basal-like tumors (9) (15) (9, 15, 50-54). However, there is no conclusive evidence concerning the impact of EGFR expression on patient outcome in the adjuvant setting (55). Notwithstanding the fact that EGFR expression and basal phenotype were associated with more aggressive pathological characteristics in our study, neither EGFR expression nor basal-like phenotype correlated with DFS or OS probability.

The Cancer Genome Atlas (TCGA) Research Group analysis demonstrated that among the most frequent loss-of-function alterations in TNBC are genes associated with DNA damage repair signaling pathway such as RB1 and BRCA1 and loss of TP53 function (56). Gain-of-function mutations in TP53, mostly missense mutations, are found in more than 60% of basal-like and TNBC tumors (3, 27, 56-58). Immunohistochemical evaluation of p53 protein expression has been widely used instead of TP53 gene mutation analysis. Normal p53 protein and p53 protein resulting from nonsense mutations are unstable, due to their short half-life time and their abnormal length or morphology respectively; thus they cannot be detected immunohistochemically. On the contrary, missense mutations of TP53 gene often result in high stability of the protein and its accumulation to the nucleus, thus they can be detected immunohistochemically (27, 59, 60). Interestingly, we found that patients with tumors double-positive or double-negative for EGFR and p53 expression had lower risk for relapse and death. Multiple reasons may integrate for this apparently contrasting finding. For example, the double-negatives and double-positives were highly represented among tumors with high TILs that are favorable prognosticators in TNBC (61, 62), double negatives may represent genomically stable TNBC that carry a better prognosis (63), while our finding on the either-positive phenotype may be related to the observed worse outcome observed in patients with tumors that are p53 protein positive but do not express CK5/6 and the androgen receptor (64). Plausibly, beyond these speculations, the obtained EGFR/p53 IHC profiles should be addressed as surrogate markers integrating different genomic/molecular alterations in TNBC that need further evaluation for their prognostic value in the clinical setting.

EGFR gene amplification broadly varies in breast cancer, ranging from 0.8% to 37% (24, 25, 51, 65-71). The optimal cut off in breast cancer has not yet been established, whereas several methods have been used to assess EGFR gene copy number alterations (FISH, CISH, DISH, RT-PCR). Nakajima et al., found no EGFR amplification among 84 patients with TNBC, while there was significant correlation between EGFR expression and high polysomy of chromosome 7 (48). Metaplastic breast carcinomas, mainly classified as basal, demonstrate high frequency of EGFR amplification among breast carcinomas (25, 69, 70). However, only one out of eleven amplified tumors was a metaplastic carcinoma (one out of seventeen such tumors) in our series. EGFR gene amplification has been described to result in increased protein expression in breast carcinomas (66, 67, 72, 73) implying that the multiple gene copies have downstream effects on EGFR mRNA and protein. Our results are concordant with these findings at both the mRNA and protein level for tumors informative with all methods, although the amplified group was too small to yield statistically significant results. High EGFR copy numbers have been related to poor disease free survival (66), which is in contrast to our data that show better DFS and OS for patients with higher EGFR and CEN7 copies, and with EGFR gene amplification. Of note, the cutoff produced by ROC analysis for 3-year DFS in our cases coincided with the median value obtained for EGFR and CEN7 copies in the first place, arguing against biased analysis of these parameters. Higher EGFR and CEN7 copies may reflect genomic instability in the tumor, e.g., as has previously been described for CEN17 copies (74) while genomic instability may sensitize tumors to cytotoxic agents (75). Whether our finding on CEN7 and EGFR copies as a favorable prognosticator upon conventional adjuvant cytotoxic chemotherapy is TNBC specific needs further investigation in cohorts involving all breast cancer subtypes. Plausibly, because of the retrospective nature of our study and the small number of patients with EGFR amplification, our findings should be regarded as hypothesis generating prompting for validation in larger studies.

Except for studies in Asian women demonstrating classic EGFR mutations (66, 76), all other relevant studies reported the absence of activating EGFR mutations in TNBC (48, 67, 70, 77-79). In line with the latter, the EGFR mutations identified herein were not classical and most probably not activating, especially regarding the truncation at an early phosphorylation site in one case. Further, these occurred at low frequency within the samples, which excluded their orthogonal validation with routine dd-sequencing as applied on FFPE DNA. In fact, since samples were composed out of tumor and non-tumor cells, the observed low frequency mutations may be stromal or lymphocytic infiltrate specific instead of being tumor specific. In support to this view, EGFR mutations among others were identified in breast tumor infiltrating leukocytes (80), while non-classical, often intronic EGFR mutations have been described at higher rates in the stroma of tumors from BRCA1/2 carriers as compared to sporadic breast cancers (78). Thus, our results do not support a role for EGFR mutations in TNBC.

Finally, we identified a patient with glycogen-rich carcinoma positive for all EGFR parameters and for p53 protein expression, who was event free for more than 9 years. Glycogen-rich clear-cell carcinomas of the breast are characterized by >90% cancer cells having abundant clear cytoplasm containing glycogen (81). There is debate regarding this tumor's behavior and it is difficult to define a prognosis as less than 150 cases have been reported. Most authors have found that this tumor has a poor prognosis but there is no direct comparison to IDC-NOS based on stage (81, 82). Nevertheless, the proposed myoepithelial origin of this type of breast carcinoma (83) is in agreement with the herein observed pathologic EGFR status, especially EGFR protein expression, which is a known marker of myoepithelial cells in the breast (84). To our knowledge, the EGFR geno/phenotype is first reported here for glycogen-rich carcinomas of the breast and may be considered when assessing this rare tumor type.

In conclusion, we found that EGFR gene amplification and mutations are rare in TNBC; when present, EGFR mutations are not clonal, probably not activating, located outside the druggable ATP binding pocket, and overall do not seem associated with known aggravating TNBC features. We also presented data on a favorable prognostic impact conferred by EGFR-related chromosomal aberrations and by combined EGFR/p53 IHC phenotypes to patients with operable TNBC treated with conventional cytotoxic adjuvant chemotherapy. These markers should be regarded as surrogates integrating the broad spectrum of genetic/molecular aberrations widely described for TNBC and need further investigation in this context. Patients with EGFR-related chromosomal aberrations seem to benefit from the already practiced taxanes-based adjuvant chemotherapy; whether this feature is an intrinsic good prognosticator for TNBC or whether the observed excellent outcome of these patients is linked to the applied chemotherapy, is an interesting clinical question to be prospectively addressed in appropriately designed clinical trials.

Acknowledgements

The Authors are indebted to all patients and their families for their trust and participation in the Hellenic Cooperative Oncology Group trials and for the provision of biological material for research purposes. The Authors wish to thank Mrs. Elpida Charalambous and Mrs. Emily Daskalaki for technical support with NGS and dd-sequencing applications.

Footnotes

  • ↵* These Authors contributed equally to this study

  • This article is freely accessible online.

  • Funding

    This study was supported by a Hellenic Society for Medical Oncology (HeSMO) grant and by an internal Hellenic Cooperative Oncology Group (HeCOG) translational research grant (HE TRANS_BR). The funders played no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This research has been co-financed by the European Union (European Social Fund - ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) - Research Funding Program: THALES. Investing in knowledge society through the European Social Fund. In addition, support was received in the context of ARISTEIA I, co-financed by the European Union and the Greek Ministry of Education.

  • Conflicts of Interest

    The Authors declare that they have no conflict of interest.

  • Received January 30, 2017.
  • Revision received March 23, 2017.
  • Accepted March 27, 2017.
  • Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved

References

  1. ↵
    1. Bauer KR,
    2. Brown M,
    3. Cress RD,
    4. Parise CA,
    5. Caggiano V
    : Descriptive analysis of estrogen receptor (er)-negative, progesterone receptor (pr)-negative, and her2-negative invasive breast cancer, the so-called triple-negative phenotype: A population-based study from the california cancer registry. Cancer 109(9): 1721-1728, 2007.
    OpenUrlCrossRefPubMed
  2. ↵
    1. Rakha EA,
    2. Elsheikh SE,
    3. Aleskandarany MA,
    4. Habashi HO,
    5. Green AR,
    6. Powe DG,
    7. El-Sayed ME,
    8. Benhasouna A,
    9. Brunet JS,
    10. Akslen LA,
    11. Evans AJ,
    12. Blamey R,
    13. Reis-Filho JS,
    14. Foulkes WD,
    15. Ellis IO
    : Triple-negative breast cancer: Distinguishing between basal and nonbasal subtypes. Clin Cancer Res 15(7): 2302-2310, 2009.
    OpenUrlAbstract/FREE Full Text
  3. ↵
    1. Shah SP,
    2. Roth A,
    3. Goya R,
    4. Oloumi A,
    5. Ha G,
    6. Zhao Y,
    7. Turashvili G,
    8. Ding J,
    9. Tse K,
    10. Haffari G,
    11. Bashashati A,
    12. Prentice LM,
    13. Khattra J,
    14. Burleigh A,
    15. Yap D,
    16. Bernard V,
    17. McPherson A,
    18. Shumansky K,
    19. Crisan A,
    20. Giuliany R,
    21. Heravi-Moussavi A,
    22. Rosner J,
    23. Lai D,
    24. Birol I,
    25. Varhol R,
    26. Tam A,
    27. Dhalla N,
    28. Zeng T,
    29. Ma K,
    30. Chan SK,
    31. Griffith M,
    32. Moradian A,
    33. Cheng SW,
    34. Morin GB,
    35. Watson P,
    36. Gelmon K,
    37. Chia S,
    38. Chin SF,
    39. Curtis C,
    40. Rueda OM,
    41. Pharoah PD,
    42. Damaraju S,
    43. Mackey J,
    44. Hoon K,
    45. Harkins T,
    46. Tadigotla V,
    47. Sigaroudinia M,
    48. Gascard P,
    49. Tlsty T,
    50. Costello JF,
    51. Meyer IM,
    52. Eaves CJ,
    53. Wasserman WW,
    54. Jones S,
    55. Huntsman D,
    56. Hirst M,
    57. Caldas C,
    58. Marra MA,
    59. Aparicio S
    : The clonal and mutational evolution spectrum of primary triple-negative breast cancers. Nature 486(7403): 395-399, 2012.
    OpenUrlCrossRefPubMed
  4. ↵
    1. Lehmann BD,
    2. Bauer JA,
    3. Chen X,
    4. Sanders ME,
    5. Chakravarthy AB,
    6. Shyr Y,
    7. Pietenpol JA
    : Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. J Clin Invest 121(7): 2750-2767, 2011.
    OpenUrlCrossRefPubMed
  5. ↵
    1. Masuda H,
    2. Baggerly KA,
    3. Wang Y,
    4. Zhang Y,
    5. Gonzalez-Angulo AM,
    6. Meric-Bernstam F,
    7. Valero V,
    8. Lehmann BD,
    9. Pietenpol JA,
    10. Hortobagyi GN,
    11. Symmans WF,
    12. Ueno NT
    : Differential response to neoadjuvant chemotherapy among 7 triple-negative breast cancer molecular subtypes. Clin Cancer Res 19(19): 5533-5540, 2013.
    OpenUrlAbstract/FREE Full Text
  6. ↵
    1. Lehmann BD,
    2. Bauer JA,
    3. Schafer JM,
    4. Pendleton CS,
    5. Tang L,
    6. Johnson KC,
    7. Chen X,
    8. Balko JM,
    9. Gomez H,
    10. Arteaga CL,
    11. Mills GB,
    12. Sanders ME,
    13. Pietenpol JA
    : Pik3ca mutations in androgen receptor-positive triple negative breast cancer confer sensitivity to the combination of pi3k and androgen receptor inhibitors. Breast Cancer Res 16(4): 406, 2014.
    OpenUrlCrossRefPubMed
  7. ↵
    1. Prat A,
    2. Parker JS,
    3. Karginova O,
    4. Fan C,
    5. Livasy C,
    6. Herschkowitz JI,
    7. He X,
    8. Perou CM
    : Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer. Breast Cancer Res 12(5): R68, 2010.
    OpenUrlCrossRefPubMed
  8. ↵
    1. Lehmann BD,
    2. Pietenpol JA
    : Identification and use of biomarkers in treatment strategies for triple-negative breast cancer subtypes. J Pathol 232(2): 142-150, 2014.
    OpenUrlCrossRefPubMed
  9. ↵
    1. Nielsen TO,
    2. Hsu FD,
    3. Jensen K,
    4. Cheang M,
    5. Karaca G,
    6. Hu Z,
    7. Hernandez-Boussard T,
    8. Livasy C,
    9. Cowan D,
    10. Dressler L,
    11. Akslen LA,
    12. Ragaz J,
    13. Gown AM,
    14. Gilks CB,
    15. van de Rijn M,
    16. Perou CM
    : Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma. Clin Cancer Res 10(16): 5367-5374, 2004.
    OpenUrlAbstract/FREE Full Text
    1. Fulford LG,
    2. Easton DF,
    3. Reis-Filho JS,
    4. Sofronis A,
    5. Gillett CE,
    6. Lakhani SR,
    7. Hanby A
    : Specific morphological features predictive for the basal phenotype in grade 3 invasive ductal carcinoma of breast. Histopathology 49(1): 22-34, 2006.
    OpenUrlCrossRefPubMed
    1. Livasy CA,
    2. Karaca G,
    3. Nanda R,
    4. Tretiakova MS,
    5. Olopade OI,
    6. Moore DT,
    7. Perou CM
    : Phenotypic evaluation of the basal-like subtype of invasive breast carcinoma. Mod Pathol 19(2): 264-271, 2006.
    OpenUrlCrossRefPubMed
    1. Chivukula M,
    2. Striebel JM,
    3. Ersahin C,
    4. Dabbs DJ
    : Evaluation of morphologic features to identify “basal-like phenotype” on core needle biopsies of breast. Appl Immunohistochem Mol Morphol 16(5): 411-416, 2008.
    OpenUrlPubMed
    1. Kim MJ,
    2. Ro JY,
    3. Ahn SH,
    4. Kim HH,
    5. Kim SB,
    6. Gong G
    : Clinicopathologic significance of the basal-like subtype of breast cancer: A comparison with hormone receptor and her2/neu-overexpressing phenotypes. Hum Pathol 37(9): 1217-1226, 2006.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Sousa B,
    2. Paredes J,
    3. Milanezi F,
    4. Lopes N,
    5. Martins D,
    6. Dufloth R,
    7. Vieira D,
    8. Albergaria A,
    9. Veronese L,
    10. Carneiro V,
    11. Carvalho S,
    12. Costa JL,
    13. Zeferino L,
    14. Schmitt F
    : P-cadherin, vimentin and ck14 for identification of basal-like phenotype in breast carcinomas: An immunohistochemical study. Histol Histopathol 25(8): 963-974, 2010.
    OpenUrlPubMed
  11. ↵
    1. Viale G,
    2. Rotmensz N,
    3. Maisonneuve P,
    4. Bottiglieri L,
    5. Montagna E,
    6. Luini A,
    7. Veronesi P,
    8. Intra M,
    9. Torrisi R,
    10. Cardillo A,
    11. Campagnoli E,
    12. Goldhirsch A,
    13. Colleoni M
    : Invasive ductal carcinoma of the breast with the “triple-negative” phenotype: Prognostic implications of egfr immunoreactivity. Breast Cancer Res Treat 116(2): 317-328, 2009.
    OpenUrlCrossRefPubMed
  12. ↵
    1. Sargent ER,
    2. Gomella LG,
    3. Belldegrun A,
    4. Linehan WM,
    5. Kasid A
    : Epidermal growth factor receptor gene expression in normal human kidney and renal cell carcinoma. J Urol 142(5): 1364-1368, 1989.
    OpenUrlPubMed
    1. Yamamoto T,
    2. Kamata N,
    3. Kawano H,
    4. Shimizu S,
    5. Kuroki T,
    6. Toyoshima K,
    7. Rikimaru K,
    8. Nomura N,
    9. Ishizaki R,
    10. Pastan I,
    11. et al
    : High incidence of amplification of the epidermal growth factor receptor gene in human squamous carcinoma cell lines. Cancer Res 46(1): 414-416, 1986.
    OpenUrlAbstract/FREE Full Text
    1. van der Laan BF,
    2. Freeman JL,
    3. Asa SL
    : Expression of growth factors and growth factor receptors in normal and tumorous human thyroid tissues. Thyroid 5(1): 67-73, 1995.
    OpenUrlPubMed
    1. Henzen-Logmans SC,
    2. van der Burg ME,
    3. Foekens JA,
    4. Berns PM,
    5. Brussee R,
    6. Fieret JH,
    7. Klijn JG,
    8. Chadha S,
    9. Rodenburg CJ
    : Occurrence of epidermal growth factor receptors in benign and malignant ovarian tumors and normal ovarian tissues: An immunohistochemical study. J Cancer Res Clin Oncol 118(4): 303-307, 1992.
    OpenUrlCrossRefPubMed
    1. Lo HW,
    2. Hsu SC,
    3. Hung MC
    : Egfr signaling pathway in breast cancers: From traditional signal transduction to direct nuclear translocalization. Breast Cancer Res Treat 95(3): 211-218, 2006.
    OpenUrlCrossRefPubMed
    1. Mendelsohn J,
    2. Baselga J
    : The egf receptor family as targets for cancer therapy. Oncogene 19(56): 6550-6565, 2000.
    OpenUrlCrossRefPubMed
  13. ↵
    1. Jakobovits A,
    2. Amado RG,
    3. Yang X,
    4. Roskos L,
    5. Schwab G
    : From xenomouse technology to panitumumab, the first fully human antibody product from transgenic mice. Nat Biotechnol 25(10): 1134-1143, 2007.
    OpenUrlCrossRefPubMed
  14. ↵
    1. Baselga J,
    2. Rischin D,
    3. Ranson M,
    4. Calvert H,
    5. Raymond E,
    6. Kieback DG,
    7. Kaye SB,
    8. Gianni L,
    9. Harris A,
    10. Bjork T,
    11. Averbuch SD,
    12. Feyereislova A,
    13. Swaisland H,
    14. Rojo F,
    15. Albanell J
    : Phase i safety, pharmacokinetic, and pharmacodynamic trial of zd1839, a selective oral epidermal growth factor receptor tyrosine kinase inhibitor, in patients with five selected solid tumor types. J Clin Oncol 20(21): 4292-4302, 2002.
    OpenUrlAbstract/FREE Full Text
  15. ↵
    1. Park K,
    2. Han S,
    3. Shin E,
    4. Kim HJ,
    5. Kim JY
    : Egfr gene and protein expression in breast cancers. Eur J Surg Oncol 33(8): 956-960, 2007.
    OpenUrlPubMed
  16. ↵
    1. Al-Kuraya K,
    2. Schraml P,
    3. Torhorst J,
    4. Tapia C,
    5. Zaharieva B,
    6. Novotny H,
    7. Spichtin H,
    8. Maurer R,
    9. Mirlacher M,
    10. Kochli O,
    11. Zuber M,
    12. Dieterich H,
    13. Mross F,
    14. Wilber K,
    15. Simon R,
    16. Sauter G
    : Prognostic relevance of gene amplifications and coamplifications in breast cancer. Cancer Res 64(23): 8534-8540, 2004.
    OpenUrlAbstract/FREE Full Text
  17. ↵
    1. Grob TJ,
    2. Heilenkotter U,
    3. Geist S,
    4. Paluchowski P,
    5. Wilke C,
    6. Jaenicke F,
    7. Quaas A,
    8. Wilczak W,
    9. Choschzick M,
    10. Sauter G,
    11. Lebeau A
    : Rare oncogenic mutations of predictive markers for targeted therapy in triple-negative breast cancer. Breast Cancer Res Treat 134(2): 561-567, 2012.
    OpenUrlCrossRefPubMed
  18. ↵
    1. Fountzilas G,
    2. Giannoulatou E,
    3. Alexopoulou Z,
    4. Zagouri F,
    5. Timotheadou E,
    6. Papadopoulou K,
    7. Lakis S,
    8. Bobos M,
    9. Poulios C,
    10. Sotiropoulou M,
    11. Lyberopoulou A,
    12. Gogas H,
    13. Pentheroudakis G,
    14. Pectasides D,
    15. Koutras A,
    16. Christodoulou C,
    17. Papandreou C,
    18. Samantas E,
    19. Papakostas P,
    20. Kosmidis P,
    21. Bafaloukos D,
    22. Karanikiotis C,
    23. Dimopoulos MA,
    24. Kotoula V
    : Tp53 mutations and protein immunopositivity may predict for poor outcome but also for trastuzumab benefit in patients with early breast cancer treated in the adjuvant setting. Oncotarget 7(22): 32731-32753, 2016.
    OpenUrl
  19. ↵
    1. McShane LM,
    2. Altman DG,
    3. Sauerbrei W,
    4. Taube SE,
    5. Gion M,
    6. Clark GM,
    7. Statistics Subcommittee of NCIEWGoCD
    : Reporting recommendations for tumor marker prognostic studies (remark). Breast Cancer Res Treat 100(2): 229-235, 2006.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Wolff AC,
    2. Hammond ME,
    3. Hicks DG,
    4. Dowsett M,
    5. McShane LM,
    6. Allison KH,
    7. Allred DC,
    8. Bartlett JM,
    9. Bilous M,
    10. Fitzgibbons P,
    11. Hanna W,
    12. Jenkins RB,
    13. Mangu PB,
    14. Paik S,
    15. Perez EA,
    16. Press MF,
    17. Spears PA,
    18. Vance GH,
    19. Viale G,
    20. Hayes DF
    : Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American society of clinical oncology/college of american pathologists clinical practice guideline update. J Clin Oncol 31(31): 3997-4013, 2013.
    OpenUrlAbstract/FREE Full Text
  21. ↵
    1. Lee AH,
    2. Happerfield LC,
    3. Millis RR,
    4. Bobrow LG
    : Inflammatory infiltrate in invasive lobular and ductal carcinoma of the breast. Br J Cancer 74(5): 796-801, 1996.
    OpenUrlPubMed
  22. ↵
    1. Lee AH,
    2. Gillett CE,
    3. Ryder K,
    4. Fentiman IS,
    5. Miles DW,
    6. Millis RR
    : Different patterns of inflammation and prognosis in invasive carcinoma of the breast. Histopathology 48(6): 692-701, 2006.
    OpenUrlCrossRefPubMed
  23. ↵
    1. Fountzilas G,
    2. Dafni U,
    3. Bobos M,
    4. Batistatou A,
    5. Kotoula V,
    6. Trihia H,
    7. Malamou-Mitsi V,
    8. Miliaras S,
    9. Chrisafi S,
    10. Papadopoulos S,
    11. Sotiropoulou M,
    12. Filippidis T,
    13. Gogas H,
    14. Koletsa T,
    15. Bafaloukos D,
    16. Televantou D,
    17. Kalogeras KT,
    18. Pectasides D,
    19. Skarlos DV,
    20. Koutras A,
    21. Dimopoulos MA
    : Differential response of immunohistochemically defined breast cancer subtypes to anthracycline-based adjuvant chemotherapy with or without paclitaxel. PLoS One 7(6): e37946, 2012.
    OpenUrlCrossRefPubMed
  24. ↵
    1. Nassar A,
    2. Sussman ZM,
    3. Lawson D,
    4. Cohen C
    : Inference of the basal epithelial phenotype in breast carcinoma from differential marker expression, using tissue microarrays in triple negative breast cancer and women younger than 35. Breast J 18(5): 399-405, 2012.
    OpenUrlCrossRefPubMed
  25. ↵
    1. Hammond ME,
    2. Hayes DF,
    3. Dowsett M,
    4. Allred DC,
    5. Hagerty KL,
    6. Badve S,
    7. Fitzgibbons PL,
    8. Francis G,
    9. Goldstein NS,
    10. Hayes M,
    11. Hicks DG,
    12. Lester S,
    13. Love R,
    14. Mangu PB,
    15. McShane L,
    16. Miller K,
    17. Osborne CK,
    18. Paik S,
    19. Perlmutter J,
    20. Rhodes A,
    21. Sasano H,
    22. Schwartz JN,
    23. Sweep FC,
    24. Taube S,
    25. Torlakovic EE,
    26. Valenstein P,
    27. Viale G,
    28. Visscher D,
    29. Wheeler T,
    30. Williams RB,
    31. Wittliff JL,
    32. Wolff AC
    : American society of clinical oncology/college of american pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer. J Clin Oncol 28(16): 2784-2795, 2010.
    OpenUrlAbstract/FREE Full Text
  26. ↵
    1. Diallo-Danebrock R,
    2. Ting E,
    3. Gluz O,
    4. Herr A,
    5. Mohrmann S,
    6. Geddert H,
    7. Rody A,
    8. Schaefer KL,
    9. Baldus SE,
    10. Hartmann A,
    11. Wild PJ,
    12. Burson M,
    13. Gabbert HE,
    14. Nitz U,
    15. Poremba C
    : Protein expression profiling in high-risk breast cancer patients treated with high-dose or conventional dose-dense chemotherapy. Clin Cancer Res 13(2 Pt 1): 488-497, 2007.
    OpenUrlAbstract/FREE Full Text
  27. ↵
    1. Sassen A,
    2. Rochon J,
    3. Wild P,
    4. Hartmann A,
    5. Hofstaedter F,
    6. Schwarz S,
    7. Brockhoff G
    : Cytogenetic analysis of her1/egfr, her2, her3 and her4 in 278 breast cancer patients. Breast Cancer Res 10(1): R2, 2008.
    OpenUrlCrossRefPubMed
  28. ↵
    1. Hirsch FR,
    2. Varella-Garcia M,
    3. McCoy J,
    4. West H,
    5. Xavier AC,
    6. Gumerlock P,
    7. Bunn PA Jr..,
    8. Franklin WA,
    9. Crowley J,
    10. Gandara DR,
    11. Southwest Oncology G
    : Increased epidermal growth factor receptor gene copy number detected by fluorescence in situ hybridization associates with increased sensitivity to gefitinib in patients with bronchioloalveolar carcinoma subtypes: A southwest oncology group study. J Clin Oncol 23(28): 6838-6845, 2005.
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Zhang F,
    2. Wang ZM,
    3. Liu HY,
    4. Bai Y,
    5. Wei S,
    6. Li Y,
    7. Wang M,
    8. Chen J,
    9. Zhou QH
    : Application of rt-pcr in formalin-fixed and paraffin-embedded lung cancer tissues. Acta Pharmacol Sin 31(1): 111-117, 2010.
    OpenUrlCrossRefPubMed
  30. ↵
    1. Sanchez-Navarro I,
    2. Gamez-Pozo A,
    3. Gonzalez-Baron M,
    4. Pinto-Marin A,
    5. Hardisson D,
    6. Lopez R,
    7. Madero R,
    8. Cejas P,
    9. Mendiola M,
    10. Espinosa E,
    11. Vara JA
    : Comparison of gene expression profiling by reverse transcription quantitative pcr between fresh frozen and formalin-fixed, paraffin-embedded breast cancer tissues. Biotechniques 48(5): 389-397, 2010.
    OpenUrlCrossRefPubMed
  31. ↵
    1. Kotoula V,
    2. Lyberopoulou A,
    3. Papadopoulou K,
    4. Charalambous E,
    5. Alexopoulou Z,
    6. Gakou C,
    7. Lakis S,
    8. Tsolaki E,
    9. Lilakos K,
    10. Fountzilas G
    : Evaluation of two highly-multiplexed custom panels for massively parallel semiconductor sequencing on paraffin DNA. PLoS One 10(6): e0128818, 2015.
    OpenUrl
  32. ↵
    1. Dent R,
    2. Trudeau M,
    3. Pritchard KI,
    4. Hanna WM,
    5. Kahn HK,
    6. Sawka CA,
    7. Lickley LA,
    8. Rawlinson E,
    9. Sun P,
    10. Narod SA
    : Triple-negative breast cancer: Clinical features and patterns of recurrence. Clin Cancer Res 13(15 Pt 1): 4429-4434, 2007.
    OpenUrlAbstract/FREE Full Text
  33. ↵
    1. McShane LM,
    2. Altman DG,
    3. Sauerbrei W,
    4. Taube SE,
    5. Gion M,
    6. Clark GM,
    7. Statistics Subcommittee of the NCIEWGoCD
    : Reporting recommendations for tumor marker prognostic studies. J Clin Oncol 23(36): 9067-9072, 2005.
    OpenUrlFREE Full Text
  34. ↵
    1. Baselga J,
    2. Gomez P,
    3. Greil R,
    4. Braga S,
    5. Climent MA,
    6. Wardley AM,
    7. Kaufman B,
    8. Stemmer SM,
    9. Pego A,
    10. Chan A,
    11. Goeminne JC,
    12. Graas MP,
    13. Kennedy MJ,
    14. Ciruelos Gil EM,
    15. Schneeweiss A,
    16. Zubel A,
    17. Groos J,
    18. Melezinkova H,
    19. Awada A
    : Randomized phase ii study of the anti-epidermal growth factor receptor monoclonal antibody cetuximab with cisplatin versus cisplatin alone in patients with metastatic triple-negative breast cancer. J Clin Oncol 31(20): 2586-2592, 2013.
    OpenUrlAbstract/FREE Full Text
  35. ↵
    1. Carey LA,
    2. Rugo HS,
    3. Marcom PK,
    4. Mayer EL,
    5. Esteva FJ,
    6. Ma CX,
    7. Liu MC,
    8. Storniolo AM,
    9. Rimawi MF,
    10. Forero-Torres A,
    11. Wolff AC,
    12. Hobday TJ,
    13. Ivanova A,
    14. Chiu WK,
    15. Ferraro M,
    16. Burrows E,
    17. Bernard PS,
    18. Hoadley KA,
    19. Perou CM,
    20. Winer EP
    : Tbcrc 001: Randomized phase ii study of cetuximab in combination with carboplatin in stage iv triple-negative breast cancer. J Clin Oncol 30(21): 2615-2623, 2012.
    OpenUrlAbstract/FREE Full Text
    1. Green MD,
    2. Francis PA,
    3. Gebski V,
    4. Harvey V,
    5. Karapetis C,
    6. Chan A,
    7. Snyder R,
    8. Fong A,
    9. Basser R,
    10. Forbes JF,
    11. Australian New Zealand Breast Cancer Trials G
    : Gefitinib treatment in hormone-resistant and hormone receptor-negative advanced breast cancer. Ann Oncol 20(11): 1813-1817, 2009.
    OpenUrlAbstract/FREE Full Text
    1. Forero-Torres A,
    2. Varley KE,
    3. Abramson VG,
    4. Li Y,
    5. Vaklavas C,
    6. Lin NU,
    7. Liu MC,
    8. Rugo HS,
    9. Nanda R,
    10. Storniolo AM,
    11. Traina TA,
    12. Patil S,
    13. Van Poznak CH,
    14. Nangia JR,
    15. Irvin WJ Jr..,
    16. Krontiras H,
    17. De Los Santos JF,
    18. Haluska P,
    19. Grizzle W,
    20. Myers RM,
    21. Wolff AC,
    22. Translational Breast Cancer Research C
    : Tbcrc 019: A phase ii trial of nanoparticle albumin-bound paclitaxel with or without the anti-death receptor 5 monoclonal antibody tigatuzumab in patients with triple-negative breast cancer. Clin Cancer Res 21(12): 2722-2729, 2015.
    OpenUrlAbstract/FREE Full Text
  36. ↵
    1. Tredan O,
    2. Campone M,
    3. Jassem J,
    4. Vyzula R,
    5. Coudert B,
    6. Pacilio C,
    7. Prausova J,
    8. Hardy-Bessard AC,
    9. Arance A,
    10. Mukhopadhyay P,
    11. Aloe A,
    12. Roche H
    : Ixabepilone alone or with cetuximab as first-line treatment for advanced/metastatic triple-negative breast cancer. Clin Breast Cancer 15(1): 8-15, 2015.
    OpenUrl
  37. ↵
    1. Nakajima H,
    2. Ishikawa Y,
    3. Furuya M,
    4. Sano T,
    5. Ohno Y,
    6. Horiguchi J,
    7. Oyama T
    : Protein expression, gene amplification, and mutational analysis of egfr in triple-negative breast cancer. Breast Cancer 21(1): 66-74, 2014.
    OpenUrlCrossRefPubMed
  38. ↵
    1. Secq V,
    2. Villeret J,
    3. Fina F,
    4. Carmassi M,
    5. Carcopino X,
    6. Garcia S,
    7. Metellus I,
    8. Boubli L,
    9. Iovanna J,
    10. Charpin C
    : Triple negative breast carcinoma egfr amplification is not associated with egfr, kras or alk mutations. Br J Cancer 110(4): 1045-1052, 2014.
    OpenUrl
  39. ↵
    1. Collins LC,
    2. Martyniak A,
    3. Kandel MJ,
    4. Stadler ZK,
    5. Masciari S,
    6. Miron A,
    7. Richardson AL,
    8. Schnitt SJ,
    9. Garber JE
    : Basal cytokeratin and epidermal growth factor receptor expression are not predictive of brca1 mutation status in women with triple-negative breast cancers. Am J Surg Pathol 33(7): 1093-1097, 2009.
    OpenUrlCrossRefPubMed
  40. ↵
    1. Gumuskaya B,
    2. Alper M,
    3. Hucumenoglu S,
    4. Altundag K,
    5. Uner A,
    6. Guler G
    : Egfr expression and gene copy number in triple-negative breast carcinoma. Cancer Genet Cytogenet 203(2): 222-229, 2010.
    OpenUrlCrossRefPubMed
    1. Martin V,
    2. Botta F,
    3. Zanellato E,
    4. Molinari F,
    5. Crippa S,
    6. Mazzucchelli L,
    7. Frattini M
    : Molecular characterization of egfr and egfr-downstream pathways in triple negative breast carcinomas with basal like features. Histol Histopathol 27(6): 785-792, 2012.
    OpenUrlPubMed
    1. Nogi H,
    2. Kobayashi T,
    3. Suzuki M,
    4. Tabei I,
    5. Kawase K,
    6. Toriumi Y,
    7. Fukushima H,
    8. Uchida K
    : Egfr as paradoxical predictor of chemosensitivity and outcome among triple-negative breast cancer. Oncol Rep 21(2): 413-417, 2009.
    OpenUrlPubMed
  41. ↵
    1. Zhang L,
    2. Fang C,
    3. Xu X,
    4. Li A,
    5. Cai Q,
    6. Long X
    : Androgen receptor, egfr, and brca1 as biomarkers in triple-negative breast cancer: A meta-analysis. Biomed Res Int 2015: 357485, 2015.
    OpenUrl
  42. ↵
    1. Gluz O,
    2. Liedtke C,
    3. Gottschalk N,
    4. Pusztai L,
    5. Nitz U,
    6. Harbeck N
    : Triple-negative breast cancer – current status and future directions. Ann Oncol 20(12): 1913-1927, 2009.
    OpenUrlAbstract/FREE Full Text
  43. ↵
    1. Cancer Genome Atlas N
    : Comprehensive molecular portraits of human breast tumours. Nature 490(7418): 61-70, 2012.
    OpenUrlCrossRefPubMed
    1. Olivier M,
    2. Langerod A,
    3. Carrieri P,
    4. Bergh J,
    5. Klaar S,
    6. Eyfjord J,
    7. Theillet C,
    8. Rodriguez C,
    9. Lidereau R,
    10. Bieche I,
    11. Varley J,
    12. Bignon Y,
    13. Uhrhammer N,
    14. Winqvist R,
    15. Jukkola-Vuorinen A,
    16. Niederacher D,
    17. Kato S,
    18. Ishioka C,
    19. Hainaut P,
    20. Borresen-Dale AL
    : The clinical value of somatic tp53 gene mutations in 1,794 patients with breast cancer. Clin Cancer Res 12(4): 1157-1167, 2006.
    OpenUrlAbstract/FREE Full Text
  44. ↵
    1. Kotoula V,
    2. Fostira F,
    3. Papadopoulou K,
    4. Apostolou P,
    5. Tsolaki E,
    6. Lazaridis G,
    7. Manoussou K,
    8. Zagouri F,
    9. Pectasides D,
    10. Vlachos I,
    11. Tikas I,
    12. Lakis S,
    13. Konstantopoulou I,
    14. Pentheroudakis G,
    15. Gogas H,
    16. Papakostas P,
    17. Christodoulou C,
    18. Bafaloukos D,
    19. Razis E,
    20. Karavasilis V,
    21. Bamias C,
    22. Yannoukakos D,
    23. Fountzilas G
    : The fate of brca1-related germline mutations in triple-negative breast tumors. Am J Cancer Res 7(1): 98-114, 2017.
    OpenUrl
  45. ↵
    1. Kraiss S,
    2. Spiess S,
    3. Reihsaus E,
    4. Montenarh M
    : Correlation of metabolic stability and altered quaternary structure of oncoprotein p53 with cell transformation. Exp Cell Res 192(1): 157-164, 1991.
    OpenUrlCrossRefPubMed
  46. ↵
    1. Ozcelik H,
    2. Pinnaduwage D,
    3. Bull SB,
    4. Andrulis IL
    : Type of tp53 mutation and erbb2 amplification affects survival in node-negative breast cancer. Breast Cancer Res Treat 105(3): 255-265, 2007.
    OpenUrlCrossRefPubMed
  47. ↵
    1. Kotoula V,
    2. Chatzopoulos K,
    3. Lakis S,
    4. Alexopoulou Z,
    5. Timotheadou E,
    6. Zagouri F,
    7. Pentheroudakis G,
    8. Gogas H,
    9. Galani E,
    10. Efstratiou I,
    11. Zaramboukas T,
    12. Koutras A,
    13. Aravantinos G,
    14. Samantas E,
    15. Psyrri A,
    16. Kourea H,
    17. Bobos M,
    18. Papakostas P,
    19. Kosmidis P,
    20. Pectasides D,
    21. Fountzilas G
    : Tumors with high-density tumor infiltrating lymphocytes constitute a favorable entity in breast cancer: A pooled analysis of four prospective adjuvant trials. Oncotarget 7(4): 5074-5087, 2016.
    OpenUrl
  48. ↵
    1. Loi S,
    2. Sirtaine N,
    3. Piette F,
    4. Salgado R,
    5. Viale G,
    6. Van Eenoo F,
    7. Rouas G,
    8. Francis P,
    9. Crown JP,
    10. Hitre E,
    11. de Azambuja E,
    12. Quinaux E,
    13. Di Leo A,
    14. Michiels S,
    15. Piccart MJ,
    16. Sotiriou C
    : Prognostic and predictive value of tumor-infiltrating lymphocytes in a phase iii randomized adjuvant breast cancer trial in node-positive breast cancer comparing the addition of docetaxel to doxorubicin with doxorubicin-based chemotherapy: Big 02-98. J Clin Oncol 31(7): 860-867, 2013.
    OpenUrlAbstract/FREE Full Text
  49. ↵
    1. Kotoula V,
    2. Lakis S,
    3. Vlachos IS,
    4. Giannoulatou E,
    5. Zagouri F,
    6. Alexopoulou Z,
    7. Gogas H,
    8. Pectasides D,
    9. Aravantinos G,
    10. Efstratiou I,
    11. Pentheroudakis G,
    12. Papadopoulou K,
    13. Chatzopoulos K,
    14. Papakostas P,
    15. Sotiropoulou M,
    16. Nicolaou I,
    17. Razis E,
    18. Psyrri A,
    19. Kosmidis P,
    20. Papadimitriou C,
    21. Fountzilas G
    : Tumor infiltrating lymphocytes affect the outcome of patients with operable triple-negative breast cancer in combination with mutated amino acid classes. PLoS One 11(9): e0163138, 2016.
    OpenUrl
  50. ↵
    1. Maeda T,
    2. Nakanishi Y,
    3. Hirotani Y,
    4. Fuchinoue F,
    5. Enomoto K,
    6. Sakurai K,
    7. Amano S,
    8. Nemoto N
    : Immunohistochemical co-expression status of cytokeratin 5/6, androgen receptor, and p53 as prognostic factors of adjuvant chemotherapy for triple negative breast cancer. Med Mol Morphol 49(1): 11-21, 2016.
    OpenUrl
  51. ↵
    1. Kersting C,
    2. Tidow N,
    3. Schmidt H,
    4. Liedtke C,
    5. Neumann J,
    6. Boecker W,
    7. van Diest PJ,
    8. Brandt B,
    9. Buerger H
    : Gene dosage pcr and fluorescence in situ hybridization reveal low frequency of egfr amplifications despite protein overexpression in invasive breast carcinoma. Lab Invest 84(5): 582-587, 2004.
    OpenUrlCrossRefPubMed
  52. ↵
    1. Park HS,
    2. Jang MH,
    3. Kim EJ,
    4. Kim HJ,
    5. Lee HJ,
    6. Kim YJ,
    7. Kim JH,
    8. Kang E,
    9. Kim SW,
    10. Kim IA,
    11. Park SY
    : High egfr gene copy number predicts poor outcome in triple-negative breast cancer. Mod Pathol 27(9): 1212-1222, 2014.
    OpenUrlCrossRefPubMed
  53. ↵
    1. Bhargava R,
    2. Gerald WL,
    3. Li AR,
    4. Pan Q,
    5. Lal P,
    6. Ladanyi M,
    7. Chen B
    : Egfr gene amplification in breast cancer: Correlation with epidermal growth factor receptor mrna and protein expression and her-2 status and absence of egfr-activating mutations. Mod Pathol 18(8): 1027-1033, 2005.
    OpenUrlCrossRefPubMed
    1. Gilbert JA,
    2. Goetz MP,
    3. Reynolds CA,
    4. Ingle JN,
    5. Giordano KF,
    6. Suman VJ,
    7. Blair HE,
    8. Jenkins RB,
    9. Lingle WL,
    10. Reinholz MM,
    11. Adjei AA,
    12. Ames MM
    : Molecular analysis of metaplastic breast carcinoma: High egfr copy number via aneusomy. Mol Cancer Ther 7(4): 944-951, 2008.
    OpenUrlAbstract/FREE Full Text
  54. ↵
    1. Reis-Filho JS,
    2. Milanezi F,
    3. Carvalho S,
    4. Simpson PT,
    5. Steele D,
    6. Savage K,
    7. Lambros MB,
    8. Pereira EM,
    9. Nesland JM,
    10. Lakhani SR,
    11. Schmitt FC
    : Metaplastic breast carcinomas exhibit egfr, but not her2, gene amplification and overexpression: Immunohistochemical and chromogenic in situ hybridization analysis. Breast Cancer Res 7(6): R1028-1035, 2005.
    OpenUrlCrossRefPubMed
  55. ↵
    1. Reis-Filho JS,
    2. Pinheiro C,
    3. Lambros MB,
    4. Milanezi F,
    5. Carvalho S,
    6. Savage K,
    7. Simpson PT,
    8. Jones C,
    9. Swift S,
    10. Mackay A,
    11. Reis RM,
    12. Hornick JL,
    13. Pereira EM,
    14. Baltazar F,
    15. Fletcher CD,
    16. Ashworth A,
    17. Lakhani SR,
    18. Schmitt FC
    : Egfr amplification and lack of activating mutations in metaplastic breast carcinomas. J Pathol 209(4): 445-453, 2006.
    OpenUrlCrossRefPubMed
  56. ↵
    1. Toyama T,
    2. Yamashita H,
    3. Kondo N,
    4. Okuda K,
    5. Takahashi S,
    6. Sasaki H,
    7. Sugiura H,
    8. Iwase H,
    9. Fujii Y
    : Frequently increased epidermal growth factor receptor (egfr) copy numbers and decreased brca1 mrna expression in japanese triple-negative breast cancers. BMC Cancer 8: 309, 2008.
    OpenUrlCrossRefPubMed
  57. ↵
    1. Pala EE,
    2. Bayol U,
    3. Keskin EU,
    4. Ozguzer A,
    5. Kucuk U,
    6. Ozer O,
    7. Koc A
    : Determination of her2 and p53 mutations by sequence analysis method and egfr/chromosome 7 gene status by fluorescence in situ hybridization for the predilection of targeted therapy modalities in immunohistochemically triple negative breast carcinomas in turkish population. Pathol Oncol Res 21(4): 1223-1227, 2015.
    OpenUrl
  58. ↵
    1. Jacot W,
    2. Mollevi C,
    3. Fina F,
    4. Lopez-Crapez E,
    5. Martin PM,
    6. Colombo PE,
    7. Bibeau F,
    8. Romieu G,
    9. Lamy PJ
    : High egfr protein expression and exon 9 pik3ca mutations are independent prognostic factors in triple negative breast cancers. BMC Cancer 15: 986, 2015.
    OpenUrl
  59. ↵
    1. Watters AD,
    2. Going JJ,
    3. Cooke TG,
    4. Bartlett JM
    : Chromosome 17 aneusomy is associated with poor prognostic factors in invasive breast carcinoma. Breast Cancer Res Treat 77(2): 109-114, 2003.
    OpenUrlCrossRefPubMed
  60. ↵
    1. Zhang W,
    2. Mao JH,
    3. Zhu W,
    4. Jain AK,
    5. Liu K,
    6. Brown JB,
    7. Karpen GH
    : Centromere and kinetochore gene misexpression predicts cancer patient survival and response to radiotherapy and chemotherapy. Nat Commun 7: 12619, 2016.
    OpenUrl
  61. ↵
    1. Teng YH,
    2. Tan WJ,
    3. Thike AA,
    4. Cheok PY,
    5. Tse GM,
    6. Wong NS,
    7. Yip GW,
    8. Bay BH,
    9. Tan PH
    : Mutations in the epidermal growth factor receptor (egfr) gene in triple negative breast cancer: Possible implications for targeted therapy. Breast Cancer Res 13(2): R35, 2011.
    OpenUrlCrossRefPubMed
  62. ↵
    1. Jacot W,
    2. Lopez-Crapez E,
    3. Thezenas S,
    4. Senal R,
    5. Fina F,
    6. Bibeau F,
    7. Romieu G,
    8. Lamy PJ
    : Lack of egfr-activating mutations in european patients with triple-negative breast cancer could emphasise geographic and ethnic variations in breast cancer mutation profiles. Breast Cancer Res 13(6): R133, 2011.
    OpenUrlPubMed
  63. ↵
    1. Weber F,
    2. Fukino K,
    3. Sawada T,
    4. Williams N,
    5. Sweet K,
    6. Brena RM,
    7. Plass C,
    8. Caldes T,
    9. Mutter GL,
    10. Villalona-Calero MA,
    11. Eng C
    : Variability in organ-specific egfr mutational spectra in tumour epithelium and stroma may be the biological basis for differential responses to tyrosine kinase inhibitors. Br J Cancer 92(10): 1922-1926, 2005.
    OpenUrlCrossRefPubMed
  64. ↵
    1. Cao WM,
    2. Gao Y,
    3. Wang XJ
    : Lack of epidermal growth factor receptor (egfr)-activating mutations in triple-negative breast cancer in china. Breast Cancer Res 17: 115, 2015.
    OpenUrl
  65. ↵
    1. Kleppe M,
    2. Comen E,
    3. Wen HY,
    4. Bastian L,
    5. Blum B,
    6. Rapaport FT,
    7. Keller M,
    8. Granot Z,
    9. Socci N,
    10. Viale A,
    11. You D,
    12. Benezra R,
    13. Weigelt B,
    14. Brogi E,
    15. Berger MF,
    16. Reis-Filho JS,
    17. Levine RL,
    18. Norton L
    : Somatic mutations in leukocytes infiltrating primary breast cancers. Npj Breast Cancer 1: 15005, 2015.
    OpenUrl
  66. ↵
    1. Yerushalmi R,
    2. Hayes MM,
    3. Gelmon KA
    : Breast carcinoma – rare types: Review of the literature. Ann Oncol 20(11): 1763-1770, 2009.
    OpenUrlAbstract/FREE Full Text
  67. ↵
    1. Toikkanen S,
    2. Joensuu H
    : Glycogen-rich clear-cell carcinoma of the breast: A clinicopathologic and flow cytometric study. Hum Pathol 22(1): 81-83, 1991.
    OpenUrlCrossRefPubMed
  68. ↵
    1. Son HJ,
    2. Jung SH,
    3. Lee SY,
    4. Moon WS
    : Glycogen-rich clear cell mammary malignant myoepithelioma. Breast 13(6): 506-509, 2004.
    OpenUrlPubMed
  69. ↵
    1. Santini D,
    2. Ceccarelli C,
    3. Tardio ML,
    4. Taffurelli M,
    5. Marrano D
    : Immunocytochemical expression of epidermal growth factor receptor in myoepithelial cells of the breast. Appl Immunohistochem Mol Morphol 10(1): 29-33, 2002.
    OpenUrlCrossRefPubMed
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Cancer Genomics - Proteomics: 14 (3)
Cancer Genomics & Proteomics
Vol. 14, Issue 3
May-June 2017
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Prognostic Evaluation of Epidermal Growth Factor Receptor (EGFR) Genotype and Phenotype Parameters in Triple-negative Breast Cancers
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Prognostic Evaluation of Epidermal Growth Factor Receptor (EGFR) Genotype and Phenotype Parameters in Triple-negative Breast Cancers
SOFIA LEVVA, VASSILIKI KOTOULA, IOANNIS KOSTOPOULOS, KYRIAKI MANOUSOU, CHRISTOS PAPADIMITRIOU, KYRIAKI PAPADOPOULOU, SOTIRIS LAKIS, KYRIAKOS KOUKOULIAS, VASILIOS KARAVASILIS, GEORGE PENTHEROUDAKIS, EUFEMIA BALASSI, FLORA ZAGOURI, IOANNIS G. KAKLAMANOS, DIMITRIOS PECTASIDES, EVANGELIA RAZIS, GERASIMOS ARAVANTINOS, PAVLOS PAPAKOSTAS, DIMITRIOS BAFALOUKOS, GRIGORIOS RALLIS, HELEN GOGAS, GEORGE FOUNTZILAS
Cancer Genomics & Proteomics May 2017, 14 (3) 181-195;

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Prognostic Evaluation of Epidermal Growth Factor Receptor (EGFR) Genotype and Phenotype Parameters in Triple-negative Breast Cancers
SOFIA LEVVA, VASSILIKI KOTOULA, IOANNIS KOSTOPOULOS, KYRIAKI MANOUSOU, CHRISTOS PAPADIMITRIOU, KYRIAKI PAPADOPOULOU, SOTIRIS LAKIS, KYRIAKOS KOUKOULIAS, VASILIOS KARAVASILIS, GEORGE PENTHEROUDAKIS, EUFEMIA BALASSI, FLORA ZAGOURI, IOANNIS G. KAKLAMANOS, DIMITRIOS PECTASIDES, EVANGELIA RAZIS, GERASIMOS ARAVANTINOS, PAVLOS PAPAKOSTAS, DIMITRIOS BAFALOUKOS, GRIGORIOS RALLIS, HELEN GOGAS, GEORGE FOUNTZILAS
Cancer Genomics & Proteomics May 2017, 14 (3) 181-195;
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Keywords

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