The microRNA target site landscape is a novel molecular feature associating alternative polyadenylation with immune evasion activity in breast cancer

Author:

Kim Soyeon1,Bai YuLong2,Fan Zhenjiang3,Diergaarde Brenda4,Tseng George C5,Park Hyun Jung4ORCID

Affiliation:

1. Department of Pediatrics, University of Pittsburgh Medical Center and in Division of Pulmonary Medicine, Children’s Hospital of Pittsburgh of UPMC

2. Department of Human Genetics in the Graduate School of Public Health, University of Pittsburgh

3. Department of Computer Science, University of Pittsburgh

4. Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh

5. Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh

Abstract

Abstract Alternative polyadenylation (APA) in breast tumor samples results in the removal/addition of cis-regulatory elements such as microRNA (miRNA) target sites in the 3′-untranslated region (3′-UTRs) of genes. Although previous computational APA studies focused on a subset of genes strongly affected by APA (APA genes), we identify miRNAs of which widespread APA events collectively increase or decrease the number of target sites [probabilistic inference of microRNA target site modification through APA (PRIMATA-APA)]. Using PRIMATA-APA on the cancer genome atlas (TCGA) breast cancer data, we found that the global APA events change the number of the target sites of particular microRNAs [target sites modified miRNA (tamoMiRNA)] enriched for cancer development and treatments. We also found that when knockdown (KD) of NUDT21 in HeLa cells induces a different set of widespread 3′-UTR shortening than TCGA breast cancer data, it changes the target sites of the common tamoMiRNAs. Since the NUDT21 KD experiment previously demonstrated the tumorigenic role of APA events in a miRNA dependent fashion, this result suggests that the APA-initiated tumorigenesis is attributable to the miRNA target site changes, not the APA events themselves. Further, we found that the miRNA target site changes identify tumor cell proliferation and immune cell infiltration to the tumor microenvironment better than the miRNA expression levels or the APA events themselves. Altogether, our computational analyses provide a proof-of-concept demonstration that the miRNA target site information indicates the effect of global APA events with a potential as predictive biomarker.

Funder

National Institutes of Health

University of Pittsburgh

Department of Human Genetics – Joan Gollin Gaines Cancer Research Fund

UPMC Hillman Cancer Center Biostatistics Shared Resource

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

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