Discovery of a Novel Immune Gene Signature with Profound Prognostic Value in Colorectal Cancer: A Model of Cooperativity Disorientation Created in the Process from Development to Cancer

PloS One
Ning AnKaitai Zhang

Abstract

Immune response-related genes play a major role in colorectal carcinogenesis by mediating inflammation or immune-surveillance evasion. Although remarkable progress has been made to investigate the underlying mechanism, the understanding of the complicated carcinogenesis process was enormously hindered by large-scale tumor heterogeneity. Development and carcinogenesis share striking similarities in their cellular behavior and underlying molecular mechanisms. The association between embryonic development and carcinogenesis makes embryonic development a viable reference model for studying cancer thereby circumventing the potentially misleading complexity of tumor heterogeneity. Here we proposed that the immune genes, responsible for intra-immune cooperativity disorientation (defined in this study as disruption of developmental expression correlation patterns during carcinogenesis), probably contain untapped prognostic resource of colorectal cancer. In this study, we determined the mRNA expression profile of 137 human biopsy samples, including samples from different stages of human colonic development, colorectal precancerous progression and colorectal cancer samples, among which 60 were also used to generate miRNA expression profi...Continue Reading

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Citations

Feb 6, 2020·Clinical & Translational Oncology : Official Publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·J ChenS-B Su
Jul 14, 2020·Frontiers in Cell and Developmental Biology·Botao ZhangShujun Cheng
Jan 26, 2021·Biochimica Et Biophysica Acta. Reviews on Cancer·Pankaj AhluwaliaGagandeep K Gahlay

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Datasets Mentioned

BETA
GSE71187
GSE71130
GSE17537
GSE39582
GSE14333
GSE39084

Methods Mentioned

BETA
surgical resection
biopsy

Software Mentioned

R package “ rmeta ”
affy
Affymetrix
DAVID Resources
R package “ survival
inSilicoMerging ”
randomForest
Bioconductor package “
TargetScan
miRanda

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