Gene regulatory networks of metabolic stress responses in cervical cancer
OC-0596
Abstract
Gene regulatory networks of metabolic stress responses in cervical cancer
Authors: Christina Fjeldbo1, Cathinka Halle Julin2, Marte Jonsson2, Eva-Katrine Aarnes2, Tord Hompland2,3, Tiril Hillestad3, Vilde Eide Skingen2, Anja Nilsen2, Unn Beate Salberg2, Agnes Kathrine Lie4, Gunnar Balle Kristensen5,6, Heidi Lyng2,7
1Oslo University Hospital, Department of Radiation Biology, Oslo, Norway; 2Oslo University Hospital, Department of Radiation Biology , Oslo, Norway; 3Oslo University Hospital, Department of Core Facilities, Oslo, Norway; 4Oslo University Hospital, Department of Pathology, Oslo, Norway; 5Oslo University Hospital, Department of Gynecological Oncology, Oslo, Norway; 6Oslo University Hospital, Institute of Cancer Genetics and Informatics, Oslo, Norway; 7University of Oslo, Department of Physics, Oslo, Norway
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Purpose or Objective
Cancer cells are exposed to metabolic stress caused by hypoxia, lactate
and acidic pH in the tumor microenvironment. Adaptation to these metabolic
stress conditions is required for the cells to survive. A better understanding
of the stress responses can lead to new therapeutic strategies and be of
clinical importance. We here aimed to determine regulatory networks of transcription
factors (TFs) and their target genes in the response to hypoxia (HYP), lactic
acidosis (LA) and hypoxia combined with lactic acidosis (HYP-LA) in cervical
cancer, and further to identify biological features associated with each response.
Material and Methods
The regulatory networks were constructed using
Illumina gene expression data from HeLa and SiHa cells exposed to each stress condition, and from
tumour biopsies of
280 patients with locally advanced cervical cancer. HYP, LA and HYP-LA metagenes
were determined in clinical gene expression data, based on correlations with
cell line derived seed genes. iRegulon was used to detect enriched TF motifs
in each metagene and construct the regulatory network of each stress response.
Biological associations were identified by gene set enrichment analyses of the
TF target genes and genes correlating with calculated target gene scores. Stroma
fraction in tumor biopsies, hypoxia level images from DCE-MRI (n = 59), small
RNA sequencing data for miR-200 (n = 200), a well-known inhibitor of epithelial-mesenchymal
transition (EMT), and immunohistochemistry data for HIF1A (n = 261), T-cells (CD8)
(n = 260), vascularization (Factor VIII) (n = 247), and EMT (Vimentin) (n = 23)
were used to validate gene expression-based findings. TCGA data (n=252) were
used for validation in an external cohort.
Results
Significant differences in the regulatory networks were found among the three
stress responses. HIF and AP-1 were identified as important TFs for the HYP
response. Upregulation of TCF12 and downregulation of SMAD4 was among the most
important TFs for LA and HYP-LA, respectively. The HYP response was associated
with high expression of glycolysis genes and downregulation of anti-tumor
immunity. For the LA response, positive associations with EMT, stroma fraction and
vascularization were identified. HYP-LA was associated with severe hypoxia by
imaging, upregulation of genes involved in cytoskeleton organization and
autophagy, and downregulation of oxidative phosphorylation genes. Gene sets of
immunity in the HYP response and EMT in the LA response were associated with
aggressive disease.
Conclusion
TFs,
target genes and biological features differ considerably among the three stress
responses in cervical cancer. Immune and stroma cells seem to be important in the
aggressive tumor phenotype associated with the responses to hypoxia and lactic
acidosis, respectively.