Oscillatory hypoxia induced gene expression predicts low survival in human breast cancer patients

Author:

Suhail Yasir123,Liu Yamin13,Du Wenqiang1,Afzal Junaid4,Qiu Xihua1,Atiq Amina3,Vera‐Licona Paola2,Agmon Eran2,Kshitiz 123ORCID

Affiliation:

1. Department of Biomedical Engineering University of Connecticut Health Farmington Connecticut USA

2. Center for Cell Analysis and Modeling University of Connecticut Health Farmington Connecticut USA

3. Department of Biomedical Engineering University of Connecticut Storrs Connecticut USA

4. Department of Medicine University of California San Francisco San Francisco California USA

Abstract

AbstractHypoxia is one of the key factors in the tumor microenvironment regulating nearly all steps in the metastatic cascade in many cancers, including in breast cancer. The hypoxic regions can however be dynamic with the availability of oxygen fluctuating or oscillating. The canonical response to hypoxia is relayed by transcription factor Hypoxia‐Inducible Factor 1 (HIF‐1), which is stabilized in hypoxia and acts as the master regulator of a large number of downstream genes. However, HIF‐1 transcriptional activity can also fluctuate either due to unstable hypoxia, or by lactate mediated noncanonical degradation of HIF‐1. Our understanding of how oscillatory hypoxia or HIF‐1 activity specifically influences cancer malignancy is very limited. Here, using MDA‐MB‐231 cells as a model of triple negative breast cancer characterized by severe hypoxia, we measured the gene expression changes induced specifically by oscillatory hypoxia. We found that oscillatory hypoxia can specifically regulate gene expression differently, and at times opposite to stable hypoxia. Using the Cancer Genome Atlas RNAseq data of human cancer samples, we show that the oscillatory specific gene expression signature in MDA‐MB‐231 is enriched in most human cancers, and prognosticates low survival in breast cancer patients. In particular, we found that oscillatory hypoxia, unlike stable hypoxia, induces unfolded protein folding response in cells resulting in gene expression predicting reduced survival.

Funder

National Cancer Institute

Publisher

Wiley

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