Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • Cancer Genomics & Proteomics
    • Anticancer Research
    • In Vivo

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Cancer Genomics & Proteomics
  • Other Publications
    • Cancer Genomics & Proteomics
    • Anticancer Research
    • In Vivo
  • Register
  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart
Cancer Genomics & Proteomics

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • In Vivo
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Visit iiar on Facebook
  • Follow us on Linkedin
Review ArticleR
Open Access

Proteomics as a Guide for Personalized Adjuvant Chemotherapy in Patients with Early Breast Cancer

FRANCO LUMACHI, GIORDANO B. CHIARA, LUISA FOLTRAN and STEFANO M.M. BASSO
Cancer Genomics & Proteomics November 2015, 12 (6) 385-390;
FRANCO LUMACHI
1University of Padua, School of Medicine, Department of Surgery, Oncology and Gastroenterology (DiSCOG), Padova, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: flumachi{at}unipd.it
GIORDANO B. CHIARA
2Surgery 1, S. Maria degli Angeli Hospital, Pordenone, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
LUISA FOLTRAN
3Medical Oncology, S. Maria degli Angeli Hospital, Pordenone, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
STEFANO M.M. BASSO
2Surgery 1, S. Maria degli Angeli Hospital, Pordenone, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Proteomics allows for better understanding of the function and regulation of cancer cells mediated by intra- and extracellular signaling networks. Integrating such information with clinicopathological characteristics of the tumor may lead to either detection of disease biomarkers useful to differentiate high-from low-risk patients, or to identification of new drug targets. Adjuvant chemotherapy is currently a personalized treatment strategy, especially for breast cancer (BC) patients, and the risk assessment of each patient influences its use because the benefit strictly correlates with the level of risk. Luminal A BCs are endocrine therapy (ET)-sensitive but exhibit low sensitivity to chemotherapy, while luminal B cancers, according to the Ki-67 proliferation rate may require for chemotherapy in addition to ET, and HER2-positive tumors derive benefit from adjuvant chemotherapy containing an anthracycline, a taxane and trastuzumab for one year. Triple-negative BCs have a high degree of genomic instability exhibiting a more aggressive clinical course with respect to other types of BC, and the anthracycline-taxane regimen constitutes the standard approach. Studies considering the use of targeted approaches (drugs), including poly (ADP-ribose) polymerase (PARP-1), vascular endothelial growth factor (VEGF), epidermal growth factor receptor (EGFR) inhibitors, or EFGR and HER2 blockers, are still under evaluation. In the genomic era, promising new targeted-therapies are worthy of further investigation, and mTOR inhibitors have been used for patients with high-risk ER-positive and HER2-negative tumors. In the near future, genetic and molecular profiling of BC will help to better-categorize patients, determine the choice of chemotherapy in low-risk, or intensify the treatment in high-risk cancer patients, eventually revealing new targeted agents.

  • Proteomics
  • genomics
  • breast cancer
  • early breast cancer
  • targeted therapies
  • HER2
  • triple-negative
  • VEGF
  • trastuzumab
  • mTOR
  • review

Proteomics allow for a better understanding over the function and regulation of cancer cells mediated by intra- and extracellular signaling networks (1). Integrating such information with clinicopathological characteristics of the tumor may lead to either detection of disease biomarkers useful to differentiate high- from low-risk patients, or to identification of new drug targets (1, 2). Adjuvant chemotherapy is currently a personalized treatment strategy in breast cancer (BC) patients, and the risk assessment of each patient influences its use because the benefit strictly correlates with the level of risk. In this setting, the intrinsic sub-type tumor characterization is crucial because each patient exhibits different outcomes according to molecular biomarkers other than histological characteristics of the tumor. According to the ESMO (European Society for Medical Oncology) guidelines, five main intrinsic sub-types of BC are considered: luminal A, luminal B human epidermal growth factor receptor-2 (HER2)-negative, luminal B HER2-positive, HER2 overexpression, and basal-like (hormone receptor-negative, HER2-negative) (3). However, thanks to genome-expression profiling, additional sub-types with distinct phenotypic features and natural history have been identified, including claudin-low and normal-like sub-types (2).

Traditional and Genomic Characterization of Patients

In BC patients, many predictive and prognostic factors help guide the selection of chemotherapy, including the following factors: (i) high tumor staging and histological grade (G3); (ii) increased rate of Ki-67-positive nuclei (≥20%); (iii) low (≤1%) estrogen receptor (ER) and progesterone receptor (PR) expression; (iv) HER2 (also named ERBB2) overexpression; and (v) the presence of triple-negative BC (TNBC). In addition, the Nottingham Prognostic Index and updated St. Gallen guidelines are further validating tools on this purpose (4, 5). Axillary node status is still regarded as a prognostic factor because with the presence of ≥4 positive nodes, patients are at increased risk, and chemotherapy needs to be administered (6). Chemotherapy leads to a significant improvement in disease-free survival (DFS) and overall survival (OS) mainly in women aged <50 years compared with those older than 50 (7, 8). However, because comorbidities play a key role for the chemotherapy indication and regimen selection, the biological age of the patient should be taken into consideration, even thought chemotherapy based only on young age (<35 years) is still controversial. Genomic assays, including the 21-gene Recurrence Score (Oncotype DX), the 70-gene test (MammaPrint), and a five-gene test (Mammostrat), are currently available (9-11). These scores represent additional indicators for chemotherapy, but the 21-gene Recurrence Score is the only assay included in the ASCO (American Society of Clinical Oncology) treatment guidelines, as the other tests require further validation (12, 13). In ER+ node-negative BC treated with adjuvant tamoxifen therapy, the 21-gene Recurrence Score helps to quantify distant recurrence risk and chemotherapy benefit; the assay had an impact on approximately one third of medical oncologists, who changed their treatment regimen according to the test result (14). The suggestion of the 70-gene test signature, that is the first FDA-cleared BC genomic test, represents an independent prognostic factor in node-negative patients (15, 16).

Main Chemotherapeutic Agents and Targeting Drugs

Over the last 50 years, chemotherapy has been the mainstay of adjuvant therapy and its efficacy has improved, representing a strategy primarily based on out-weighing benefits and risks of treatment. A number of chemotherapeutic agents are available to treat patients with early BC. However, only few drugs are suitable for extensive clinical use, including alkylating agents (e.g., cyclophosphamide, cisplatin, carboplatin), anthracyclines (e.g., doxorubicin, epirubicin), anti-metabolites (e.g., fluorouracil), folate inhibitors (e.g., methotrexate), disruptors of microtubule function, such as taxanes (e.g., docetaxel, paclitaxel), topoisomerase inhibitors (e.g., etoposide), and others. Moreover, several molecular targeting drugs are available, almost exclusively for patients with advanced or metastatic disease, or as second- and third-line therapy (Table I).

The current standard-of-care is usually sequential anthracycline plus taxane for high risk BC patients, and four cycles of TC (docetaxel-cyclophosphamide) or no chemotherapy for lower-risk ER+ BCs. In addition, dose-dense adjuvant chemotherapy was shown to improve DFS and OS in node-positive patients (18, 19). We, herein, describe chemotherapy strategies based on BC intrinsic biological sub-types.

BC Sub-types

Luminal A. Luminal A cancers are endocrine therapy (ET)-sensitive but exhibit low sensitivity to chemotherapy (20). A less intensive chemotherapy regimen with AC (doxorubicin-cyclophosphamide), CMF (cyclophosphamide-methotrexate-fluorouracil), or TC may be added to ET, that usually includes selective estrogen receptor modulators (e.g., tamoxifen) and/or aromatase inhibitors. In node-positive BCs, an anthracycline-taxane-based chemotherapy regimen is, however, recommended. In node-negative disease, the chemotherapy selection is more controversial, and may be guided by tumor size (>1 cm), patient age or co-morbidities. Most importantly, the recurrence scores of gene assays such as Oncotype DX may predict chemotherapy benefit in ER+ node-negative but also node-positive BC cases (12, 21).

Luminal B. Luminal B cancers (HER2-negative) have an increased risk of relapse and may be sensitive to chemotherapy according to the Ki-67 proliferation rate. These patients mostly require adjuvant chemotherapy in addition to ET. The anthracycline-taxane-based regimen is recommended for 6-8 cycles, when chemotherapy is chosen. Dose-dense chemotherapy can be prescribed if ≥4 positive nodes are present. In patients with luminal B cancer and HER2 overexpression (HER2+), chemotherapy plus anti-HER2 therapy is required. In luminal cancer, the use of genomic assays has been increasingly important rather than the surrogate sub-type definition to assess the risk of recurrence and better select the adjuvant chemotherapy.

Triple-negative. Triple-negative BC is a heterogeneous disease with different and complex genetic alterations. However, the clinical significance of these genomic variants is still unclear, and sensitivity to chemotherapy differs among sub-groups. TNBCs are characterized by the lack of ER and PR expression and normal or negative HER2 expression. These tumors exhibit a more aggressive clinical course with respect to other types of BC, but there is an overlap of approximately 20-30% of TNBC with basal-like and BRCA1-related BCs (22, 23). TNBCs are usually poorly-differentiated and have a high degree of genomic instability. A sub-group of TNBCs has a defect in homologous recombination, and most of these are BRCA1-associated (24). Chemotherapy represents the backbone of adjuvant treatment for TNBCs, and the anthracycline-taxane regimen constitutes the standard approach. Platinum-based agents showed efficacy in the metastatic setting by inhibiting DNA, conforming DNA adducts (e.g., cisplatin, oxaliplatin) or binding to DNA (e.g., carboplatin) and interfering with cell repair; however, they require further validation in prospective clinical trials in the adjuvant setting (25-27).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table I.

Main molecular targeting in breast cancer.

Studies considering the use of targeted drugs, including PARP-1 (poly[ADP-ribose] polymerase) inhibitors (e.g., iniparib, niraparib, olaparib, veliparib), VEGF (vascular endothelial growth factor) and multi-kinase inhibitors (e.g., bevacizumab, sunitinib, sorafenib), EGFR (epidermal growth factor receptor) inhibitors (e.g., erlotinib), EGFR and HER2 (e.g., cetuximab) blockers, and androgen receptor-targeting drugs, are still under evaluation (28, 29). A recent meta-analysis showed that in patients with metastatic TNBC, the combination of chemotherapy, bevacizumab, iniparib and sorafenib improves OS, while chemotherapy plus iniparib and cetuxomab improves DFS (30). Lapatinib, a tyrosine kinase reversible inhibitor of HER1 and HER2, exhibits limited effects in pre-surgical treatment of HER2-negative patients (31). In the neoadjuvant treatment of HER2-negative BC, sorafenib, a multikinase inhibitor that targets the VEGF, PDGF-β (platelet-derived growth factor-β) and Raf kinase receptors, added to the anthracycline-taxane-based chemotherapy, had a limited efficacy, by improving progression-free survival but not OS (32).

HER2-positive. The amplification of HER2 gene and the subsequent overexpression of HER2 accounts for approximately 20% of BCs (33). HER2 is a surface receptor at the cell membrane, and the monoclonal antibody against the extracellular domain of HER2 trastuzumab has long been available for clinical use, representing the most successful example of targeted therapy for BC (34). The sub-group of HER2+ patients derives benefit from adjuvant chemotherapy containing an anthracycline, a taxane and trastuzumab for one year. AC→TH (doxorubicin and cyclophosphamide followed by docetaxel plus trastuzumab), TCH (docetaxel-carboplatin-trastuzumab), or anthracyclines followed by trastuzumab are standard treatments. TCH regimen was better tolerated than either AC→T (AC followed by docetaxel) or AC→TH regimens (35). According to a recent systematic review, one year of trastuzumab after adjuvant chemotherapy should be the treatment of choice for HER2+ BCs (36). In addition, patients with small node-negative HER2+ BCs may benefit from chemotherapy plus trastuzumab, but the usefulness of this regimen is still unclear for tumors <1 cm. In the neoadjuvant setting, adding trastuzumab to anthracyclines before FEC (fluorouracil, epirubicin, cyclophosphamide) regimen administration did not provide any advantage compared to sequential FEC followed by trastruzumab and paclitaxel (37).

EGFR inhibitors, including gefitinib and lapatinib, have been used in a limited number of studies, exclusively in the neoadjuvant setting. Combining lapatinib and trastuzumab before surgery significantly improved the pathological complete response rate with respect to lapatinib or trastuzumab alone (38). Lapatinib and trastuzumab exhibit synergistic effects in advanced or metastatic BCs overexpressing HER2 (39, 40). However, the usefulness of lapatinib and trastuzumab together remains undefined in early BC (41). Two additional HER2-blocking agents have recently become available: emtansine (TDM-1) and pertuzumab. Emtansine is an antibody-drug conjugate that delivers potent cytotoxic effects against HER2+ cancer cells and is also active in patients previously treated with trastuzumab (42, 43). Pertuzumab is an anti-HER2 monoclonal antibody that, in combination with trastuzumab, exhibits a potent dual HER2 blockade (44). Both these new agents are currently under investigation for early-stage BC. In patients with advanced trastuzumab-resistant disease, dual targeting with pertuzumab and trastuzumab together can be an option (45).

Future perspectives

In the genomic era, selecting patients based exclusively on simple clinical and pathological paradigms is not sufficient, since genetic and molecular features are extremely promising in suggesting new targeted-therapies, both in the adjuvant and neoadjuvant setting.

Mammalian target of rapamycin (mTOR) is a protein kinase that belongs to the PIKK (phosphatidylinositol-3OH kinase related kinase) family and regulates several essential cell functions. Both mTOR (e.g., everolimus) and PARP inhibitors have been used for patient with high-risk ER+ HER2-negative BC and BRCA-mutated TNBC, respectively (46, 47). Everolimus (RAD100) binds to FKBP-12 (FK506-binding protein), reducing tumor cell proliferation, as exhibited by reduction in Ki-67 rate (48). In addition, predictive biomarkers of HER2 blockade for HER2+ BC deserve further study.

We could hypothesize that, in the near future, anti-HER2 agents may substitute for chemotherapy in selected patients, thus avoiding the adverse effects of chemotherapy, including ovary function inhibition. Genetic and molecular profiling of BC will help to better categorize patients, determine the choice of chemotherapy in low-risk patients or intensify the treatment in high-risk cancer patients, eventually adding new targeted agents. BC heterogeneity and inter- or intra-patient variability stimulate intensive research on predictive and prognostic biomarkers that can guide the choice of the most appropriate treatment for each individual early-BC patient.

  • Received July 11, 2015.
  • Revision received September 2, 2015.
  • Accepted September 8, 2015.
  • Copyright © 2015 The Author(s). Published by the International Institute of Anticancer Research.

References

  1. ↵
    1. Lee JM,
    2. Kohn EC
    : Proteomics as a guiding tool for more effective personalized therapy. Ann Oncol 21(Suppl 7): vii205-vii210, 2010.
    OpenUrlAbstract/FREE Full Text
  2. ↵
    1. Chang JC,
    2. Wooten EC,
    3. Tsimelzon A,
    4. Hilsenbeck SG,
    5. Gutierrez MC,
    6. Elledge R,
    7. Mohsin S,
    8. Osborne CK,
    9. Chamness GC,
    10. Allred DC,
    11. O'Connell P
    : Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer. Lancet 362: 362-369, 2003.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Senkus E,
    2. Kyriakides S,
    3. Penault-Llorca F,
    4. Poortmans P,
    5. Thompson A,
    6. Zackrisson S,
    7. Cardoso F,
    8. ESMO Guidelines Working Group
    : Primary breast cancer. ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 24(Suppl 6): vi7-vi23, 2013.
    OpenUrlFREE Full Text
  4. ↵
    1. Fong Y,
    2. Evans J,
    3. Brook D,
    4. Kenkre J,
    5. Jarvis P,
    6. Gower-Thomas K
    : The Nottingham Prognostic Index: Five- and ten-year data for all-cause survival within a screened population. Ann R Coll Surg Engl 97: 137-139, 2015.
    OpenUrlPubMed
  5. ↵
    1. Coates AS,
    2. Winer EP,
    3. Goldhirsch A,
    4. Gelber RD,
    5. Gnant M,
    6. Piccart-Gebhart M,
    7. Thürlimann B,
    8. Senn HJ,
    9. Panel Members
    : Tailoring therapies-improving the management of early breast cancer. St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015. Ann Oncol pii: mdv221, 2015.
  6. ↵
    1. Goldhirsch A,
    2. Ingle JN,
    3. Gelber RD,
    4. Coates AS,
    5. Thürlimann B,
    6. Senn HJ,
    7. Panel members
    : Thresholds for therapies. Highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2009. Ann Oncol 20(1): 319-1329, 2009.
    OpenUrlAbstract/FREE Full Text
  7. ↵
    1. Early Breast Cancer Trialists' Collaborative Group (EBCTCG)
    : Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival. An overview of the randomised trials. Lancet 365: 1687-1717, 2005.
    OpenUrlCrossRefPubMed
  8. ↵
    1. Clarke MJ
    : Multi-agent chemotherapy for early breast cancer. Cochrane Database Syst Rev 8: CD000487, 2008.
  9. ↵
    http://www.breastcancer.org/symptoms/diagnosis/genomic_assays
    1. Lo SS,
    2. Mumby PB,
    3. Norton J,
    4. Rychlik K,
    5. Smerage J,
    6. Kash J,
    7. Chew HK,
    8. Gaynor ER,
    9. Hayes DF,
    10. Epstein A,
    11. Albain KS
    : Prospective multicenter study of the impact of the 21-gene recurrence score assay on medical oncologist and patient adjuvant breast cancer treatment selection. J Clin Oncol 28: 1671-1676, 2010.
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Cardoso F,
    2. Van't Veer L,
    3. Rutgers E,
    4. Loi S,
    5. Mook S,
    6. Piccart-Gebhart MJ
    : Clinical application of the 70-gene profile: the MINDACT trial. J Clin Oncol 26: 729-735, 2008.
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Paik S,
    2. Tang G,
    3. Shak S,
    4. Kim C,
    5. Baker J,
    6. Kim W,
    7. Cronin M,
    8. Baehner FL,
    9. Watson D,
    10. Bryant J,
    11. Costantino JP,
    12. Geyer CE Jr.,
    13. Wickerham DL,
    14. Wolmark N
    : Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. J Clin Oncol 24: 3726-3734, 2006.
    OpenUrlAbstract/FREE Full Text
  12. ↵
    1. Goldhirsch A,
    2. Wood WC,
    3. Coates AS,
    4. Gelber RD,
    5. Thürlimann B,
    6. Senn HJ,
    7. Panel members
    : Strategies for subtypes – dealing with the diversity of breast cancer: Highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol 22: 1736-1747, 2011.
    OpenUrlAbstract/FREE Full Text
  13. ↵
    1. Carlson JJ,
    2. Roth JA
    : The impact of the Oncotype Dx breast cancer assay in clinical practice: A systematic review and meta-analysis. Breast Cancer Res Treat 141: 13-22, 2013.
    OpenUrlCrossRefPubMed
  14. ↵
    1. Bueno-de-Mesquita JM,
    2. Linn SC,
    3. Keijzer R,
    4. Wesseling J,
    5. Nuyten DS,
    6. van Krimpen C,
    7. Meijers C,
    8. de Graaf PW,
    9. Bos MM,
    10. Hart AA,
    11. Rutgers EJ,
    12. Peterse JL,
    13. Halfwerk H,
    14. de Groot R,
    15. Pronk A,
    16. Floore AN,
    17. Glas AM,
    18. Van't Veer LJ,
    19. van de Vijver MJ
    : Validation of 70-gene prognosis signature in node-negative breast cancer. Breast Cancer Res Treat 117: 483-495, 2009.
    OpenUrlCrossRefPubMed
  15. ↵
    1. Kittaneh M,
    2. Montero AJ,
    3. Glück S
    : Molecular profiling for breast cancer: A comprehensive review. Biomark Cancer 5: 61-70, 2013.
    OpenUrlPubMed
    1. Munagala R,
    2. Aqil F,
    3. Gupta RC
    : Promising molecular targeted therapies in breast cancer. Indian J Pharmacol 43: 236-245, 2011.
    OpenUrlCrossRefPubMed
  16. ↵
    1. Bonilla L,
    2. Ben-Aharon I,
    3. Vidal L,
    4. Gafter-Gvili A,
    5. Leibovici L,
    6. Stemmer SM
    : Dose-dense chemotherapy in nonmetastatic breast cancer: a systematic review and meta-analysis of randomized controlled trials. J Natl Cancer Inst 102: 1845-1854, 2010.
    OpenUrlAbstract/FREE Full Text
  17. ↵
    1. Lumachi F,
    2. Brunello A,
    3. Maruzzo M,
    4. Basso U,
    5. Basso SM
    : Treatment of estrogen receptor-positive breast cancer. Curr Med Chem 20: 596-604, 2013.
    OpenUrlCrossRefPubMed
  18. ↵
    1. Del Mastro L,
    2. De Placido S,
    3. Bruzzi P,
    4. De Laurentiis M,
    5. Boni C,
    6. Cavazzini G,
    7. Durando A,
    8. Turletti A,
    9. Nisticò C,
    10. Valle E,
    11. Garrone O,
    12. Puglisi F,
    13. Montemurro F,
    14. Barni S,
    15. Ardizzoni A,
    16. Gamucci T,
    17. Colantuoni G,
    18. Giuliano M,
    19. Gravina A,
    20. Papaldo P,
    21. Bighin C,
    22. Bisagni G,
    23. Forestieri V,
    24. Cognetti F,
    25. Gruppo Italiano Mammella (GIM) investigators
    : Fluorouracil and dose-dense chemotherapy in adjuvant treatment of patients with early-stage breast cancer: An open-label, 2 × 2 factorial, randomised phase 3 trial. Lancet 385: 1863-1872, 2015.
    OpenUrlPubMed
  19. ↵
    1. Albain KS,
    2. Barlow WE,
    3. Shak S,
    4. Hortobagyi GN,
    5. Livingston RB,
    6. Yeh IT,
    7. Ravdin P,
    8. Bugarini R,
    9. Baehner FL,
    10. Davidson NE,
    11. Sledge GW,
    12. Winer EP,
    13. Hudis C,
    14. Ingle JN,
    15. Perez EA,
    16. Pritchard KI,
    17. Shepherd L,
    18. Gralow JR,
    19. Yoshizawa C,
    20. Allred DC,
    21. Osborne CK,
    22. Hayes DF,
    23. Breast Cancer Intergroup of North America
    : Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: A retrospective analysis of a randomised trial. Lancet Oncol 11: 55-65, 2010.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Pal SK,
    2. Childs BH,
    3. Pegram M
    : Triple negative breast cancer: unmet medical needs. Breast Cancer Res Treat 125: 627-636, 2011.
    OpenUrlCrossRefPubMed
  21. ↵
    1. Prat A,
    2. Adamo B,
    3. Cheang MC,
    4. Anders CK,
    5. Carey LA,
    6. Perou CM
    : Molecular characterization of basal-like and non-basal-like triple-negative breast cancer. Oncologist 18: 123-133, 2013.
    OpenUrlAbstract/FREE Full Text
  22. ↵
    1. Crown J,
    2. O'Shaughnessy J,
    3. Gullo G
    : Emerging targeted therapies in triple-negative breast cancer. Ann Oncol 23(Suppl 6): vi56-vi65, 2012.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Alcindor T,
    2. Beauger N
    : Oxaliplatin: A review in the era of molecularly targeted therapy. Curr Oncol 18: 18-25, 2011.
    OpenUrlPubMed
    1. Agrawal LS,
    2. Mayer IA
    : Platinum agents in the treatment of early-stage triple-negative breast cancer: Is it time to change practice? Clin Adv Hematol Oncol 12: 654-658, 2014.
    OpenUrlPubMed
  24. ↵
    1. Telli M
    : Evolving treatment strategies for triple-negative breast cancer. J Natl Compr Canc Netw 13: 652-654, 2015.
    OpenUrlAbstract/FREE Full Text
  25. ↵
    1. Audeh MW
    : Novel treatment strategies in triple-negative breast cancer: specific role of poly(adenosine diphosphate-ribose) polymerase inhibition. Pharmgenomics Pers Med 7: 307-316, 2014.
    OpenUrlPubMed
  26. ↵
    1. Anestis A,
    2. Karamouzis MV,
    3. Dalagiorgou G,
    4. Papavassiliou AG
    : Is androgen receptor targeting an emerging treatment strategy for triple negative breast cancer? Cancer Treat Rev 41: 547-553, 2015.
    OpenUrlPubMed
  27. ↵
    1. Clark O,
    2. Botrel TE,
    3. Paladini L,
    4. Ferreira MB
    : Targeted therapy in triple-negative metastatic breast cancer: a systematic review and meta-analysis. Core Evid 9: 1-11, 2014.
    OpenUrlPubMed
  28. ↵
    1. Coombes RC,
    2. Tat T,
    3. Miller ML,
    4. Reise JA,
    5. Mansi JL,
    6. Hadjiminas DJ,
    7. Shousha S,
    8. Elsheikh SE,
    9. Lam EW,
    10. Horimoto Y,
    11. El-Bahrawy M,
    12. Aboagye EO,
    13. Contractor KB,
    14. Shaw JA,
    15. Walker RA,
    16. Marconell MH,
    17. Palmieri C,
    18. Stebbing J
    : An open-label study of lapatinib in women with HER-2-negative early breast cancer: The lapatinib pre-surgical study (LPS study). Ann Oncol 24: 924-930, 2013.
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Tan QX,
    2. Qin QH,
    3. Lian B,
    4. Yang WP,
    5. Wei CY
    : Sorafenib-based therapy in HER2-negative advanced breast cancer: Results from a retrospective pooled analysis of randomized controlled trials. Exp Ther Med 7: 1420-1426, 2014.
    OpenUrlPubMed
  30. ↵
    1. Clarke CA,
    2. Keegan TH,
    3. Yang J,
    4. Press DJ,
    5. Kurian AW,
    6. Patel AH,
    7. Lacey JV Jr.
    : Age-specific incidence of breast cancer subtypes: understanding the black-white crossover. J Natl Cancer Inst 104: 1094-1101, 2012.
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Vu T,
    2. Claret FX
    : Trastuzumab: Updated mechanisms of action and resistance in breast cancer. Front Oncol 2: 62, 2012.
    OpenUrlCrossRefPubMed
  32. ↵
    1. Au HJ,
    2. Eiermann W,
    3. Robert NJ,
    4. Pienkowski T,
    5. Crown J,
    6. Martin M,
    7. Pawlicki M,
    8. Chan A,
    9. Mackey J,
    10. Glaspy J,
    11. Pintér T,
    12. Liu MC,
    13. Fornander T,
    14. Sehdev S,
    15. Ferrero JM,
    16. Bée V,
    17. Santana MJ,
    18. Miller DP,
    19. Lalla D,
    20. Slamon DJ,
    21. Translational Research in Oncology BCIRG 006 Trial Investigators
    : Health-related quality of life with adjuvant docetaxel- and trastuzumab-based regimens in patients with node-positive and high-risk node-negative, HER2-positive early breast cancer: results from the BCIRG 006 Study. Oncologist 18: 812-818, 2013.
    OpenUrlAbstract/FREE Full Text
  33. ↵
    1. Mates M,
    2. Fletcher GG,
    3. Freedman OC,
    4. Eisen A,
    5. Gandhi S,
    6. Trudeau ME,
    7. Dent SF
    : Systemic targeted therapy for her2-positive early female breast cancer: A systematic review of the evidence for the 2014 Cancer Care Ontario systemic therapy guideline. Curr Oncol 22(Suppl 1): S114-S122, 2015.
    OpenUrlPubMed
  34. ↵
    1. Buzdar AU,
    2. Suman VJ,
    3. Meric-Bernstam F,
    4. Leitch AM,
    5. Ellis MJ,
    6. Boughey JC,
    7. Unzeitig G,
    8. Royce M,
    9. McCall LM,
    10. Ewer MS,
    11. Hunt KK,
    12. American College of Surgeons Oncology Group investigators
    : Fluorouracil, epirubicin, and cyclophosphamide (FEC-75) followed by paclitaxel plus trastuzumab versus paclitaxel plus trastuzumab followed by FEC-75 plus trastuzumab as neoadjuvant treatment for patients with HER2-positive breast cancer (Z1041): A randomised, controlled, phase 3 trial. Lancet Oncol 14: 1317-1325, 2013.
    OpenUrlCrossRefPubMed
  35. ↵
    1. de Azambuja E,
    2. Holmes AP,
    3. Piccart-Gebhart M,
    4. Holmes E,
    5. Di Cosimo S,
    6. Swaby RF,
    7. Untch M,
    8. Jackisch C,
    9. Lang I,
    10. Smith I,
    11. Boyle F,
    12. Xu B,
    13. Barrios CH,
    14. Perez EA,
    15. Azim HA Jr..,
    16. Kim SB,
    17. Kuemmel S,
    18. Huang CS,
    19. Vuylsteke P,
    20. Hsieh RK,
    21. Gorbunova V,
    22. Eniu A,
    23. Dreosti L,
    24. Tavartkiladze N,
    25. Gelber RD,
    26. Eidtmann H,
    27. Baselga J
    : Lapatinib with trastuzumab for HER2-positive early breast cancer (NeoALTTO): Survival outcomes of a randomised, open-label, multicentre, phase 3 trial and their association with pathological complete response. Lancet Oncol 15: 1137-1146, 2014.
    OpenUrlCrossRefPubMed
  36. ↵
    1. Frampton JE
    : Lapatinib: A review of its use in the treatment of HER2-overexpressing, trastuzumab-refractory, advanced or metastatic breast cancer. Drugs 69: 2125-2148, 2009.
    OpenUrlCrossRefPubMed
  37. ↵
    1. Kümler I,
    2. Tuxen MK,
    3. Nielsen DL
    : A systematic review of dual targeting in HER2-positive breast cancer. Cancer Treat Rev 40: 259-270, 2014.
    OpenUrlCrossRefPubMed
  38. ↵
    1. Lønning PE
    : Lapatinib in early breast cancer – questions to be resolved. Lancet Oncol 14: 11-12, 2013.
    OpenUrlCrossRefPubMed
  39. ↵
    1. Corrigan PA,
    2. Cicci TA,
    3. Auten JJ,
    4. Lowe DK
    : Ado-trastuzumab emtansine: a HER2-positive targeted antibody-drug conjugate. Ann Pharmacother 48: 1484-1493, 2014.
    OpenUrlAbstract/FREE Full Text
  40. ↵
    1. Krop IE,
    2. LoRusso P,
    3. Miller KD,
    4. Modi S,
    5. Yardley D,
    6. Rodriguez G,
    7. Guardino E,
    8. Lu M,
    9. Zheng M,
    10. Girish S,
    11. Amler L,
    12. Winer EP,
    13. Rugo HS
    : A phase II study of trastuzumab emtansine in patients with human epidermal growth factor receptor 2-positive metastatic breast cancer who were previously treated with trastuzumab, lapatinib, an anthracycline, a taxane, and capecitabine. J Clin Oncol 30: 3234-3241, 2014.
    OpenUrl
  41. ↵
    1. Yu Q,
    2. Zhu Z,
    3. Liu Y,
    4. Zhang J,
    5. Li K
    : Efficacy and safety of HER2-targeted agents for breast cancer with HER2-overexpression: a network meta-analysis. PLoS One 10: e0127404, 2015.
    OpenUrlPubMed
  42. ↵
    1. Gradishar WJ
    : Optimizing Treatment of HER2-Positive Breast Cancer. J Natl Compr Canc Netw 5 Suppl: 649-651, 2015.
    OpenUrl
  43. ↵
    1. Chan S
    : Targeting the mammalian target of rapamycin (mTOR): A new approach to treating cancer. Br J Cancer 91: 1420-1424, 2004.
    OpenUrlCrossRefPubMed
  44. ↵
    1. Davis SL,
    2. Eckhardt SG,
    3. Tentler JJ,
    4. Diamond JR
    : Triple-negative breast cancer: Bridging the gap from cancer genomics to predictive biomarkers. Ther Adv Med Oncol 6: 88-100, 2014.
    OpenUrlAbstract/FREE Full Text
  45. ↵
    1. Macaskill EJ,
    2. Bartlett JM,
    3. Sabine VS,
    4. Faratian D,
    5. Renshaw L,
    6. White S,
    7. Campbell FM,
    8. Young O,
    9. Williams L,
    10. Thomas JS,
    11. Barber MD,
    12. Dixon JM
    : The mammalian target of rapamycin inhibitor everolimus (RAD001) in early breast cancer: results of a pre-operative study. Breast Cancer Res Treat 128: 725-734, 2011.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

Cancer Genomics & Proteomics
Vol. 12, Issue 6
November-December 2015
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Cancer Genomics & Proteomics.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Proteomics as a Guide for Personalized Adjuvant Chemotherapy in Patients with Early Breast Cancer
(Your Name) has sent you a message from Cancer Genomics & Proteomics
(Your Name) thought you would like to see the Cancer Genomics & Proteomics web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
2 + 11 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Proteomics as a Guide for Personalized Adjuvant Chemotherapy in Patients with Early Breast Cancer
FRANCO LUMACHI, GIORDANO B. CHIARA, LUISA FOLTRAN, STEFANO M.M. BASSO
Cancer Genomics & Proteomics Nov 2015, 12 (6) 385-390;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
Proteomics as a Guide for Personalized Adjuvant Chemotherapy in Patients with Early Breast Cancer
FRANCO LUMACHI, GIORDANO B. CHIARA, LUISA FOLTRAN, STEFANO M.M. BASSO
Cancer Genomics & Proteomics Nov 2015, 12 (6) 385-390;
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Traditional and Genomic Characterization of Patients
    • Main Chemotherapeutic Agents and Targeting Drugs
    • BC Sub-types
    • Future perspectives
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

Cited By...

  • Comparison of Patient Satisfaction on a Day-case Mastectomy Pathway for Breast Cancer Versus a Traditional Inpatient Delivery Model, Using a Validated Questionnaire
  • Poly (ADP) Ribose Glycohydrolase Can Be Effectively Targeted in Pancreatic Cancer
  • Bone Mineral Density as a Potential Predictive Factor for Luminal-type Breast Cancer in Postmenopausal Women
  • Inhibitory Activity of Iron Chelators ATA and DFO on MCF-7 Breast Cancer Cells and Phosphatases PTP1B and SHP2
  • Google Scholar

Keywords

  • proteomics
  • Genomics
  • Breast cancer
  • early breast cancer
  • targeted therapies
  • HER2
  • triple-negative
  • vegf
  • trastuzumab
  • mTOR
  • review
Cancer & Genome Proteomics

© 2026 Cancer Genomics & Proteomics

Powered by HighWire