Related Experiment Video
Updated: Sep 9, 2025

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer
Published on: May 21, 2019
Cancer Genomic Alterations and Microenvironmental Features Encode Synergistic Interactions with Disease Outcomes
Masroor Bayati1,2, Zoe P Klein1,3, Alexander T Bahcheli1,3
1Computational Biology Program, Ontario Institute for Cancer Research, Toronto, Canada.
None:
Oncogenesis, tumor progression, and therapy response are shaped by somatic alterations in the cancer genome and features of the tumor-immune microenvironment (TME). How interactions between these two systems influence tumor evolution and clinical outcomes remains incompletely understood. To address this challenge, we developed the multi-omics analysis framework PACIFIC that systematically integrates genetic cancer drivers and infiltration profiles of immune cells to find pairwise combinations of drivers and TME characteristics that jointly associate with clinical outcomes. By analyzing 8,500 primary tumor samples of 26 cancer types, we report 34 immunogenomic interactions (IGX) in 13 cancer types in which context-specific combinations of genomic alterations and immune cell levels were significantly correlated with patient survival. Subsets of tumor samples defined by some IGXs were characterized by tumor-intrinsic and microenvironmental metrics of immunogenicity and differential expression of immunotherapy target genes. In luminal-A breast cancer, an IGX involving MEN1 deletion combined with reduced levels of neutrophils associated with lower progression-free survival and deregulation of immune signaling pathways, as observed in two independent cancer genomics datasets. These results showcase the ability of PACIFIC to integrate complex multi-omics datasets with clinical information, enabling the identification of clinically relevant IGXs. Such interactions provide a rich set of hypotheses for mechanistic studies and the development of biomarkers and therapeutic targets.
Implications:
Co-occurrence patterns of cancer drivers and TME characteristics highlight synergistic interactions with prognostic potential.
Related Concept Videos
The Tumor Microenvironment
Cancer Prevention
Some...
Adaptive Mechanisms in Cancer Cells
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Cancers Originate from Somatic Mutations in a Single Cell
Cancer-Critical Genes I: Proto-oncogenes
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
mTOR Signaling and Cancer Progression
The mTOR pathway or the...

