A Validation Study for Recurrence Risk Stratification of Stage II Colon Cancer Using the 55-Gene Classifier.
Adult
Aged
Biomarkers, Tumor
/ genetics
Chromosomal Instability
Colonic Neoplasms
/ genetics
Female
Humans
Male
Microsatellite Instability
Middle Aged
Neoplasm Recurrence, Local
/ genetics
Neoplasm Staging
Oligonucleotide Array Sequence Analysis
Prognosis
Retrospective Studies
Risk Assessment
/ methods
Survival Rate
Transcriptome
Young Adult
55-Gene classifier subtype
Adjuvant chemotherapy
Colon cancer
Consensus molecular subtypes
Gene microarray
Journal
Oncology
ISSN: 1423-0232
Titre abrégé: Oncology
Pays: Switzerland
ID NLM: 0135054
Informations de publication
Date de publication:
2020
2020
Historique:
received:
29
01
2020
accepted:
04
02
2020
pubmed:
3
4
2020
medline:
29
8
2020
entrez:
3
4
2020
Statut:
ppublish
Résumé
DNA microarrays, such as the consensus molecular subtype (CMS) classification using >600 genes, are used to predict cancer patient prognosis. We recently constructed a simple 55-gene classifier (55GC) system to risk stratify colon cancer (CC). Here, we validate the 55GC specifically for stage II CC and compare it with CMS categories. Tissue sections from 232 stage II CC patients who underwent curative surgery without adjuvant chemotherapy between 2009 and 2012 were subjected to DNA microarray analysis. Based on the 55GC, patients were classified into microsatellite instability-like (27%), chromosomal instability-like (41%), and stromal (32%) subtypes with 5-year relapse-free survival (RFS) rates of 88.5, 83.3, and 71.2%, respectively (stromal vs. others: p = 0.0049). Multivariate analysis by Cox's proportional hazard model revealed that the stromal subtype, pT4, and the number of lymph nodes examined (<12) were independent poor prognostic factors. The overall concordance rate between 55GC and CMS was 72%, and 5-year RFS rates of patients with CMS1, CMS2, CMS3, and CMS4 cancers were 100, 85.5, 92.3, and 73.0%, respectively (p = 0.0113). We conclude that the 55GC is a useful and reproducible grading system for stage II CC recurrence risk stratification.
Identifiants
pubmed: 32235113
pii: 000506369
doi: 10.1159/000506369
doi:
Substances chimiques
Biomarkers, Tumor
0
Types de publication
Journal Article
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
534-541Informations de copyright
© 2020 S. Karger AG, Basel.