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Biomark Res. 2016 Feb 19;4:4. doi: 10.1186/s40364-016-0058-3. eCollection 2016.

A robust prognostic gene expression signature for early stage lung adenocarcinoma.

Author information

1
Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark.
2
Department of Tumor Biology, National Koranyi Institute - Semmelweis University, Budapest, Hungary.
3
Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.
4
Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark ; Computational Health Informatics Program (CHIP), Boston Children's Hospital, Boston, USA ; Harvard Medical School, Boston, USA.

Abstract

BACKGROUND:

Stage I lung adenocarcinoma is usually not treated with adjuvant chemotherapy; however, around half of these patients do not survive 5 years. Therefore, a reliable prognostic biomarker for early stage patients would be critical to identify those most likely to benefit from early additional treatments. Several studies have searched for gene expression prognostic biomarkers for lung adenocarcinoma, but these have not yielded a widely accepted prognosticator.

RESULTS:

We analyzed gene expression from seven published lung adenocarcinoma cohorts for which we included only stage I and II patients who were not given adjuvant therapy. Seven genes consistently obtained statistical significance in Cox regression for overall survival. The combined signature has a weighted mean hazard ratio of 3.2 in all cohorts and 3.0 (C.I. 1.3-7.4, p < 0.01) in an independent validation cohort and is strongly correlated with previously published signatures of chromosomal instability and cell cycle progression.

CONCLUSIONS:

The new prognostic signature, if validated prospectively, may enable better stratification and treatment of early stage lung cancer patients.

KEYWORDS:

Early stage cancer; Gene expression; Lung adenocarcinoma; Prognostic biomarker

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