Novel biomarker candidates for gastric cancer

Sanghwa Yang, Hyuncheol Chung

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Gastric cancer continues to be a major threat to human health. Molecular descriptions on the diverse phases of this disease will be valuable for a better diagnosis and development of therapeutic targets. Previously, a 92-gene classifier that distinguishes tumor from non-tumor gastric tissues was proposed. To corroborate this finding, independent approaches of gene selection and class prediction algorithm were applied to the dataset of 86 tissues profiled on 17K cDNA microarrays. As a result, 22 genes were selected, of which 18 were in common with 92 genes previously shown. The differential expression patterns of Chromogranin A (CHGA) and Thy-1 cell surface antigen (THY1) were further validated with immunohisto-staining on gastric tissue microarrays. The differential expression patterns of several of the proposed genes have been proven to be critical for tumor progression in other cancer models and will likely function as novel biomarkers for gastric cancer as well.

Original languageEnglish
Pages (from-to)675-680
Number of pages6
JournalOncology Reports
Volume19
Issue number3
Publication statusPublished - 2008 Mar 1

Fingerprint

Stomach Neoplasms
Biomarkers
Genes
Stomach
Chromogranin A
Neoplasms
Surface Antigens
Oligonucleotide Array Sequence Analysis
Staining and Labeling
Health
Therapeutics

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

Cite this

Yang, Sanghwa ; Chung, Hyuncheol. / Novel biomarker candidates for gastric cancer. In: Oncology Reports. 2008 ; Vol. 19, No. 3. pp. 675-680.
@article{c5163945a22341bb805fad7ed3406349,
title = "Novel biomarker candidates for gastric cancer",
abstract = "Gastric cancer continues to be a major threat to human health. Molecular descriptions on the diverse phases of this disease will be valuable for a better diagnosis and development of therapeutic targets. Previously, a 92-gene classifier that distinguishes tumor from non-tumor gastric tissues was proposed. To corroborate this finding, independent approaches of gene selection and class prediction algorithm were applied to the dataset of 86 tissues profiled on 17K cDNA microarrays. As a result, 22 genes were selected, of which 18 were in common with 92 genes previously shown. The differential expression patterns of Chromogranin A (CHGA) and Thy-1 cell surface antigen (THY1) were further validated with immunohisto-staining on gastric tissue microarrays. The differential expression patterns of several of the proposed genes have been proven to be critical for tumor progression in other cancer models and will likely function as novel biomarkers for gastric cancer as well.",
author = "Sanghwa Yang and Hyuncheol Chung",
year = "2008",
month = "3",
day = "1",
language = "English",
volume = "19",
pages = "675--680",
journal = "Oncology Reports",
issn = "1021-335X",
publisher = "Spandidos Publications",
number = "3",

}

Yang, S & Chung, H 2008, 'Novel biomarker candidates for gastric cancer', Oncology Reports, vol. 19, no. 3, pp. 675-680.

Novel biomarker candidates for gastric cancer. / Yang, Sanghwa; Chung, Hyuncheol.

In: Oncology Reports, Vol. 19, No. 3, 01.03.2008, p. 675-680.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Novel biomarker candidates for gastric cancer

AU - Yang, Sanghwa

AU - Chung, Hyuncheol

PY - 2008/3/1

Y1 - 2008/3/1

N2 - Gastric cancer continues to be a major threat to human health. Molecular descriptions on the diverse phases of this disease will be valuable for a better diagnosis and development of therapeutic targets. Previously, a 92-gene classifier that distinguishes tumor from non-tumor gastric tissues was proposed. To corroborate this finding, independent approaches of gene selection and class prediction algorithm were applied to the dataset of 86 tissues profiled on 17K cDNA microarrays. As a result, 22 genes were selected, of which 18 were in common with 92 genes previously shown. The differential expression patterns of Chromogranin A (CHGA) and Thy-1 cell surface antigen (THY1) were further validated with immunohisto-staining on gastric tissue microarrays. The differential expression patterns of several of the proposed genes have been proven to be critical for tumor progression in other cancer models and will likely function as novel biomarkers for gastric cancer as well.

AB - Gastric cancer continues to be a major threat to human health. Molecular descriptions on the diverse phases of this disease will be valuable for a better diagnosis and development of therapeutic targets. Previously, a 92-gene classifier that distinguishes tumor from non-tumor gastric tissues was proposed. To corroborate this finding, independent approaches of gene selection and class prediction algorithm were applied to the dataset of 86 tissues profiled on 17K cDNA microarrays. As a result, 22 genes were selected, of which 18 were in common with 92 genes previously shown. The differential expression patterns of Chromogranin A (CHGA) and Thy-1 cell surface antigen (THY1) were further validated with immunohisto-staining on gastric tissue microarrays. The differential expression patterns of several of the proposed genes have been proven to be critical for tumor progression in other cancer models and will likely function as novel biomarkers for gastric cancer as well.

UR - http://www.scopus.com/inward/record.url?scp=40249099178&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=40249099178&partnerID=8YFLogxK

M3 - Article

VL - 19

SP - 675

EP - 680

JO - Oncology Reports

JF - Oncology Reports

SN - 1021-335X

IS - 3

ER -