Display options
Cite
Apostolou P, Iliopoulos AC, Parsonidis P, et al. Gene expression profiling as a potential predictor between normal and cancer samples in gastrointestinal carcinoma. Oncotarget. 2019;10(36):3328-3338
Apostolou, P., Iliopoulos, A. C., Parsonidis, P., & Papasotiriou, I. (2019). Gene expression profiling as a potential predictor between normal and cancer samples in gastrointestinal carcinoma. Oncotarget, 10(36), 3328-3338.
Apostolou, Panagiotis, et al. "Gene expression profiling as a potential predictor between normal and cancer samples in gastrointestinal carcinoma." Oncotarget vol. 10,36 (2019): 3328-3338.
Apostolou P, Iliopoulos AC, Parsonidis P, Papasotiriou I. Gene expression profiling as a potential predictor between normal and cancer samples in gastrointestinal carcinoma. Oncotarget. 2019 May 21;10(36):3328-3338. eCollection 2019 May 21. PMID: 31164955; PMCID: PMC6534363.
Copy Download .nbib Format: NLM
Share it on

Oncotarget. 2019 May 21;10(36):3328-3338. eCollection 2019 May 21.

Gene expression profiling as a potential predictor between normal and cancer samples in gastrointestinal carcinoma.

Oncotarget

Panagiotis Apostolou, Aggelos C Iliopoulos, Panagiotis Parsonidis, Ioannis Papasotiriou

Affiliations

  1. Research & Development Department, Research Genetic Cancer Centre S.A., Florina, Greece.

PMID: 31164955 PMCID: PMC6534363

Abstract

Analysis and comparison of gene expression profile among molecules, correlated with essential and crucial biological processes, is of primary importance in cancer research, since it provides significant info regarding the resistance to chemo/radiotherapy, risk for relapse or prediction of metastasis etc. In this study, gene expression profile is used for discriminating efficiently colon cancer cell lines from normal cells and cancer cells in blood samples of colon cancer patients and categorizing different types of gastrointestinal cancer. In particular, blood samples were collected from normal donors as well as from colon cancer patients. Peripheral blood mononuclear cells were isolated and gene expression analysis was performed for more than fifty genes. The same assays were performed for commercial cancer cell lines representing different types of gastrointestinal cancer. In order to examine whether the comparison of gene expression profile can lead to a thorough discrimination between cancer and normal states as well as between different cancer types, we performed clustering analysis based on hierarchical, and k-means algorithms. The clustering analysis efficiently separated: a) colon cancer cell lines from colon patients' samples, b) normal from the colon cancer samples, c) gastric and pancreatic cancer from liver and colon types based. The exploitation of gene expression profile can be successfully used for the discrimination between normal vs cancer samples and/or for categorizing various types of cancer. This of course has important implications in cancer management since it enables the quick discrimination based on cells, isolated from bloodstream, needless of tissue examination or protocols requiring specialized equipment.

Keywords: clustering analysis; gastrointestinal cancer; peripheral blood mononuclear cells; qRT-PCR

Conflict of interest statement

CONFLICTS OF INTEREST The authors declare no potential conflicts of interest.

References

  1. Pathol Oncol Res. 2000;6(2):130-5 - PubMed
  2. Cell Res. 2000 Sep;10(3):233-42 - PubMed
  3. Oncogene. 2007 May 14;26(22):3279-90 - PubMed
  4. Cell Regul. 1991 Aug;2(8):599-612 - PubMed
  5. Pancreas. 2008 Jan;36(1):56-60 - PubMed
  6. Annu Rev Pathol. 2009;4:127-50 - PubMed
  7. Oncogene. 2009 Aug 13;28(32):2903-9 - PubMed
  8. Cell Cycle. 2009 Nov 1;8(21):3488-92 - PubMed
  9. Physiology (Bethesda). 2010 Apr;25(2):85-101 - PubMed
  10. Genes Cancer. 2011 Mar;2(3):344-58 - PubMed
  11. Crit Rev Oncog. 2012;17(2):161-73 - PubMed
  12. Biomed Res Int. 2013;2013:546318 - PubMed
  13. Crit Rev Oncol Hematol. 2013 Dec;88(3):696-705 - PubMed
  14. Singapore Med J. 2014 Jun;55(6):e93-5 - PubMed
  15. Am J Pathol. 2015 May;185(5):1185-97 - PubMed
  16. Ann Transl Med. 2015 Mar;3(3):36 - PubMed
  17. J Recept Signal Transduct Res. 2015;35(6):600-4 - PubMed
  18. Br J Cancer. 2015 Sep 1;113(5):763-72 - PubMed
  19. Int J Mol Med. 2016 Feb;37(2):319-28 - PubMed
  20. CA Cancer J Clin. 2016 Jan-Feb;66(1):7-30 - PubMed
  21. Bioinform Biol Insights. 2016 Nov 30;10:237-253 - PubMed
  22. Cell Mol Gastroenterol Hepatol. 2017 Jan 20;3(2):163-173 - PubMed
  23. Onco Targets Ther. 2018 Jan 15;11:351-359 - PubMed
  24. Br J Cancer. 1983 Mar;47(3):373-81 - PubMed
  25. Prog Clin Biol Res. 1993;382:149-53 - PubMed

Publication Types