Unknown

Dataset Information

0

Prognostic and Predictive Gene Signature for Adjuvant Chemotherapy in Resected Non-Small Cell Lung Cancer


ABSTRACT: Background: The JBR.10 trial demonstrated significant survival benefit from adjuvant cisplatin/vinorelbine (ACT) in stage IB-II NSCLC (HR 0.69, p=0.04), but stage IB patients did not derive significant benefit (HR: 0.94, p= 0.79). We hypothesized that expression profiling could identify stage-independent subgroups of patients who might benefit from adjuvant chemotherapy. Methods: Gene expression profiling was conducted on mRNA isolated from frozen JBR.10 tumor samples (either from patients under observation [OBS], or treated with ACT). The minimum gene set that selected for the greatest separation of good and poor prognosis patient subgroups in OBS patients was identified and this gene signature was used to classify patients into high and low risk for death after surgery, and predict ACT effect. The prognostic gene signature was additionally tested on ACT patients and publicly available microarray datasets. Results: A 15-gene signature separated OBS patients into equal high and low risk subgroups with significantly different prognoses (HR 15.02, 95% CI 5.12-44.04, p=0.0001). The signature was prognostic in both stage IB and II. It was also predictive of improved survival following ACT treatment in high-risk patients (HR 0.33, 95% CI 0.17-0.63, p=0.0005), but not in low risk patients (HR 3.67, 95% CI 1.22-11.06, p=0.0133; interaction p=0.0001). The prognostic effect of the signature was validated in two independent gene expression datasets of 169 stage I-II adenocarcinoma and 106 squamous cell carcinoma patients. Conclusions: This microarray-based 15-gene prognostic expression signature is stage and histology independent and may select early stage NSCLC patients who are most likely to benefit from adjuvant chemotherapy with cisplatin/vinorelbine. Keywords: Expression profiling by microarray; prognosis prediction 90 samples

ORGANISM(S): Homo sapiens

SUBMITTER: Zhu CQ 

PROVIDER: S-ECPF-GEOD-14814 | biostudies-other | 2010 Oct

REPOSITORIES: biostudies-other

Similar Datasets

| S-EPMC2988634 | biostudies-literature
2010-09-09 | E-GEOD-14814 | biostudies-arrayexpress
2010-09-09 | GSE14814 | GEO
| S-EPMC5834092 | biostudies-literature
| S-EPMC8282972 | biostudies-literature
| S-EPMC4367729 | biostudies-literature
| S-EPMC8332728 | biostudies-literature
| S-EPMC5528648 | biostudies-literature
| S-EPMC3284429 | biostudies-literature
| S-EPMC4867280 | biostudies-literature