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Research Article
Open Access

Proteomic Analysis of Primary Colon Cancer and Synchronous Solitary Liver Metastasis

EUN-KYUNG KIM, MIN-JEONG SONG, YUNJAE JUNG, WON-SUK LEE and HO HEE JANG
Cancer Genomics & Proteomics November 2019, 16 (6) 583-592; DOI: https://doi.org/10.21873/cgp.20161
EUN-KYUNG KIM
1Department of Biochemistry, College of Medicine, Lee Gil Ya Cancer and Diabetes Institute, Gachon University, Incheon, Republic of Korea
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MIN-JEONG SONG
1Department of Biochemistry, College of Medicine, Lee Gil Ya Cancer and Diabetes Institute, Gachon University, Incheon, Republic of Korea
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YUNJAE JUNG
2Department of Microbiology, College of Medicine, Gachon University, Incheon, Republic of Korea
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WON-SUK LEE
3Department of Surgery, Gil Medical Center, Gachon University, Incheon, Republic of Korea
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  • For correspondence: hhjang{at}gachon.ac.kr lws{at}gilhospital.com
HO HEE JANG
1Department of Biochemistry, College of Medicine, Lee Gil Ya Cancer and Diabetes Institute, Gachon University, Incheon, Republic of Korea
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  • For correspondence: hhjang{at}gachon.ac.kr lws{at}gilhospital.com
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    Figure 1.

    2D-PAGE gel of primary colon cancer and synchronous solitary liver metastatic cancer samples from 5 patients. The protein expression patterns of the primary colon cancer and synchronous solitary liver metastasis tissues were represented by Coommassie blue staining after 2D-PAGE.

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    Figure 2.

    Heat map analysis of 58 differentially expressed proteins (DEPs) from mass spectrometry. The relative levels of the 58 proteins found to exhibit differential expression between primary colon cancer and the isolated liver metastases were expressed as expression-based heat maps. The Y-axis is a list of 58 DEPs.

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    Figure 3.

    Validation of liver metastasis-related factors. Western blot analysis showed that CA1 and Serpin A1 were up-regulated and that NANS and transferrin were down-regulated in liver metastases (M) compared to primary colon cancer (P).

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    Figure 4.

    Analysis of protein–protein interaction (PPI) by online bioinformatics. (A) PPI of DEPs analyzed against the STRING Database for association networks. Known interactions are edges of pink (experimentally determined) and deep sky blue (database obtained). Predicted interactions are edges of green (gene neighborhood), blue (gene co-occurrence), and red (gene fusions). Edges of yellowish green are text-mining. Edges of black color mean co-expression. Edges of light purple mean protein homology. (B-C) Physical interaction and involvement of DEPs in the KRAS pathway (B) or EGF and EGFR (C), as analyzed by GeneMANIA.

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    Figure 5.

    Analysis of GO annotation of 58 identified DEPs. A total of 58 proteins analyzed with regard to their cellular component (A) and molecular function (B). 58 DEPs were involved in a biological process (C) and in the KEGG pathway (D). These data were analyzed by the gene ontology from the STRING database.

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Cancer Genomics & Proteomics
Vol. 16, Issue 6
November-December 2019
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Proteomic Analysis of Primary Colon Cancer and Synchronous Solitary Liver Metastasis
EUN-KYUNG KIM, MIN-JEONG SONG, YUNJAE JUNG, WON-SUK LEE, HO HEE JANG
Cancer Genomics & Proteomics Nov 2019, 16 (6) 583-592; DOI: 10.21873/cgp.20161

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Proteomic Analysis of Primary Colon Cancer and Synchronous Solitary Liver Metastasis
EUN-KYUNG KIM, MIN-JEONG SONG, YUNJAE JUNG, WON-SUK LEE, HO HEE JANG
Cancer Genomics & Proteomics Nov 2019, 16 (6) 583-592; DOI: 10.21873/cgp.20161
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Keywords

  • Colon cancer
  • differentially expressed proteins
  • gene ontology
  • liver metastatic cancer
  • mass spectrometry analysis
  • protein-protein interactions
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