American Association for Cancer Research
10559965epi140182-sup-126977_2_supp_2661305_nbz34n.xlsx (10.29 kB)

Supplemental Table 2 from The Expression of Four Genes as a Prognostic Classifier for Stage I Lung Adenocarcinoma in 12 Independent Cohorts

Download (10.29 kB)
posted on 2023-03-31, 14:05 authored by Hirokazu Okayama, Aaron J. Schetter, Teruhide Ishigame, Ana I. Robles, Takashi Kohno, Jun Yokota, Seiichi Takenoshita, Curtis C. Harris

Supplemental Table 2. Selected probes for each platform



Background: We previously developed a prognostic classifier using the expression levels of BRCA1, HIF1A, DLC1, and XPO1 that identified stage I lung adenocarcinoma patients with a high risk of relapse. That study evaluated patients in five independent cohorts from various regions of the world. In an attempt to further validate the classifier, we have used a meta-analysis–based approach to study 12 cohorts consisting of 1,069 tumor–node–metastasis stage I lung adenocarcinoma patients from every suitable, publically available dataset.Methods: Cohorts were obtained through a systematic search of public gene expression datasets. These data were used to calculate the risk score using the previously published 4-gene risk model. A fixed effect meta-analysis model was used to generate a pooled estimate for all cohorts.Results: The classifier was associated with prognosis in 10 of the 12 cohorts (P < 0.05). This association was highly consistent regardless of the ethnic diversity or microarray platform. The pooled estimate demonstrated that patients classified as high risk had worse overall survival for all stage I [HR, 2.66; 95% confidence interval (CI), 1.93–3.67; P < 0.0001] patients and in stratified analyses of stage IA (HR, 2.69; 95% CI, 1.66–4.35; P < 0.0001) and stage IB (HR, 2.69; 95% CI, 1.74–4.16; P < 0.0001) patients.Conclusions: The 4-gene classifier provides independent prognostic stratification of stage IA and stage IB patients beyond conventional clinical factors.Impact: Our results suggest that the 4-gene classifier may assist clinicians in decisions about the postoperative management of early-stage lung adenocarcinoma patients. Cancer Epidemiol Biomarkers Prev; 23(12); 2884–94. ©2014 AACR.

Usage metrics

    Cancer Epidemiology, Biomarkers & Prevention



    Ref. manager