Novel biomarker candidates for colorectal cancer metastasis

A meta-analysis of in vitro studies

Nguyen Phuoc Long, Wun Jun Lee, Nguyen Truong Huy, Seul Ji Lee, Jeong Hill Park, Sung Won Kwon

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Colorectal cancer (CRC) is one of the most common and lethal cancers. Although numerous studies have evaluated potential biomarkers for early diagnosis, current biomarkers have failed to reach an acceptable level of accuracy for distant metastasis. In this paper, we performed a gene set meta-analysis of in vitro microarray studies and combined the results from this study with previously published proteomic data to validate and suggest prog-nostic candidates for CRC metastasis. Two microarray data sets included found 21 significant genes. Of these significant genes, ALDOA, IL8 (CXCL8), and PARP4 had strong potential as prognostic candidates. LAMB2, MCM7, CXCL23A, SERPINA3, ABCA3, ALDH3A2, and POLR2I also have potential. Other candidates were more controversial, possibly because of the biologic heterogeneity of tumor cells, which is a major obstacle to predicting metastasis. In conclusion, we demonstrated a meta-analysis approach and successfully suggested ten biomarker candidates for future investigation.

Original languageEnglish (US)
Pages (from-to)11-17
Number of pages7
JournalCancer Informatics
Volume15
DOIs
StatePublished - Sep 22 2016

Fingerprint

Meta-Analysis
Colorectal Neoplasms
Biomarkers
Neoplasm Metastasis
Genes
Interleukin-8
Proteomics
Early Diagnosis
Neoplasms
In Vitro Techniques
Datasets

Keywords

  • Biomarker candidate
  • Colorectal cancer
  • Microarray analysis
  • Proteomics

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Long, N. P., Lee, W. J., Huy, N. T., Lee, S. J., Park, J. H., & Kwon, S. W. (2016). Novel biomarker candidates for colorectal cancer metastasis: A meta-analysis of in vitro studies. Cancer Informatics, 15, 11-17. https://doi.org/10.4137/CIN.S40301

Novel biomarker candidates for colorectal cancer metastasis : A meta-analysis of in vitro studies. / Long, Nguyen Phuoc; Lee, Wun Jun; Huy, Nguyen Truong; Lee, Seul Ji; Park, Jeong Hill; Kwon, Sung Won.

In: Cancer Informatics, Vol. 15, 22.09.2016, p. 11-17.

Research output: Contribution to journalArticle

Long, Nguyen Phuoc ; Lee, Wun Jun ; Huy, Nguyen Truong ; Lee, Seul Ji ; Park, Jeong Hill ; Kwon, Sung Won. / Novel biomarker candidates for colorectal cancer metastasis : A meta-analysis of in vitro studies. In: Cancer Informatics. 2016 ; Vol. 15. pp. 11-17.
@article{5c4318997b9f4d22af714253d5d0a3bb,
title = "Novel biomarker candidates for colorectal cancer metastasis: A meta-analysis of in vitro studies",
abstract = "Colorectal cancer (CRC) is one of the most common and lethal cancers. Although numerous studies have evaluated potential biomarkers for early diagnosis, current biomarkers have failed to reach an acceptable level of accuracy for distant metastasis. In this paper, we performed a gene set meta-analysis of in vitro microarray studies and combined the results from this study with previously published proteomic data to validate and suggest prog-nostic candidates for CRC metastasis. Two microarray data sets included found 21 significant genes. Of these significant genes, ALDOA, IL8 (CXCL8), and PARP4 had strong potential as prognostic candidates. LAMB2, MCM7, CXCL23A, SERPINA3, ABCA3, ALDH3A2, and POLR2I also have potential. Other candidates were more controversial, possibly because of the biologic heterogeneity of tumor cells, which is a major obstacle to predicting metastasis. In conclusion, we demonstrated a meta-analysis approach and successfully suggested ten biomarker candidates for future investigation.",
keywords = "Biomarker candidate, Colorectal cancer, Microarray analysis, Proteomics",
author = "Long, {Nguyen Phuoc} and Lee, {Wun Jun} and Huy, {Nguyen Truong} and Lee, {Seul Ji} and Park, {Jeong Hill} and Kwon, {Sung Won}",
year = "2016",
month = "9",
day = "22",
doi = "10.4137/CIN.S40301",
language = "English (US)",
volume = "15",
pages = "11--17",
journal = "Cancer Informatics",
issn = "1176-9351",
publisher = "Libertas Academica Ltd.",

}

TY - JOUR

T1 - Novel biomarker candidates for colorectal cancer metastasis

T2 - A meta-analysis of in vitro studies

AU - Long, Nguyen Phuoc

AU - Lee, Wun Jun

AU - Huy, Nguyen Truong

AU - Lee, Seul Ji

AU - Park, Jeong Hill

AU - Kwon, Sung Won

PY - 2016/9/22

Y1 - 2016/9/22

N2 - Colorectal cancer (CRC) is one of the most common and lethal cancers. Although numerous studies have evaluated potential biomarkers for early diagnosis, current biomarkers have failed to reach an acceptable level of accuracy for distant metastasis. In this paper, we performed a gene set meta-analysis of in vitro microarray studies and combined the results from this study with previously published proteomic data to validate and suggest prog-nostic candidates for CRC metastasis. Two microarray data sets included found 21 significant genes. Of these significant genes, ALDOA, IL8 (CXCL8), and PARP4 had strong potential as prognostic candidates. LAMB2, MCM7, CXCL23A, SERPINA3, ABCA3, ALDH3A2, and POLR2I also have potential. Other candidates were more controversial, possibly because of the biologic heterogeneity of tumor cells, which is a major obstacle to predicting metastasis. In conclusion, we demonstrated a meta-analysis approach and successfully suggested ten biomarker candidates for future investigation.

AB - Colorectal cancer (CRC) is one of the most common and lethal cancers. Although numerous studies have evaluated potential biomarkers for early diagnosis, current biomarkers have failed to reach an acceptable level of accuracy for distant metastasis. In this paper, we performed a gene set meta-analysis of in vitro microarray studies and combined the results from this study with previously published proteomic data to validate and suggest prog-nostic candidates for CRC metastasis. Two microarray data sets included found 21 significant genes. Of these significant genes, ALDOA, IL8 (CXCL8), and PARP4 had strong potential as prognostic candidates. LAMB2, MCM7, CXCL23A, SERPINA3, ABCA3, ALDH3A2, and POLR2I also have potential. Other candidates were more controversial, possibly because of the biologic heterogeneity of tumor cells, which is a major obstacle to predicting metastasis. In conclusion, we demonstrated a meta-analysis approach and successfully suggested ten biomarker candidates for future investigation.

KW - Biomarker candidate

KW - Colorectal cancer

KW - Microarray analysis

KW - Proteomics

UR - http://www.scopus.com/inward/record.url?scp=84994037011&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84994037011&partnerID=8YFLogxK

U2 - 10.4137/CIN.S40301

DO - 10.4137/CIN.S40301

M3 - Article

VL - 15

SP - 11

EP - 17

JO - Cancer Informatics

JF - Cancer Informatics

SN - 1176-9351

ER -