4.3 Article

A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling

Journal

ONCOTARGET
Volume 5, Issue 16, Pages 6947-6963

Publisher

IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.2285

Keywords

hypoxia; breast cancer; biomarker; gene signature; prognosis

Funding

  1. Federation Wallonie-Bruxelles (WB Health program HypoScreen)
  2. Fonds de la Recherche Scientifique (F.R.S-FNRS)
  3. Televie
  4. Belgian Foundation against cancer
  5. J. Maisin Foundation
  6. interuniversity attraction pole (IUAP) research program from the Belgian Science Policy Office (Belspo) [UP7-03]
  7. Action de Recherche Concertee [ARC 09/14-020]

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Background: Temporal and local fluctuations in O-2 in tumors require adaptive mechanisms to support cancer cell survival and proliferation. The transcriptome associated with cycling hypoxia (CycHyp) could thus represent a prognostic biomarker of cancer progression. Methods: We exposed 20 tumor cell lines to repeated periods of hypoxia/reoxygenation to determine a transcriptomic CycHyp signature and used clinical data sets from 2,150 breast cancer patients to estimate a prognostic Cox proportional hazard model to assess its prognostic performance. Results: The CycHyp prognostic potential was validated in patients independently of the receptor status of the tumors. The discriminating capacity of the CycHyp signature was further increased in the ER+ HER2- patient populations including those with a node negative status under treatment (HR=3.16) or not (HR=5.54). The CycHyp prognostic signature outperformed a signature derived from continuous hypoxia and major prognostic metagenes (P<0.001). The CycHyp signature could also identify ER+HER2 node-negative breast cancer patients at high risk based on clinicopathologic criteria but who could have been spared from chemotherapy and inversely those patients classified at low risk based but who presented a negative outcome. Conclusions: The CycHyp signature is prognostic of breast cancer and offers a unique decision making tool to complement anatomopathologic evaluation.

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