4.7 Article

Characterizing isoform switching events in esophageal adenocarcinoma

Journal

MOLECULAR THERAPY-NUCLEIC ACIDS
Volume 29, Issue -, Pages 749-768

Publisher

CELL PRESS
DOI: 10.1016/j.omtn.2022.08.018

Keywords

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Funding

  1. National Institutes of Health and National Cancer Institute [U54CA163059]
  2. University of Michigan [U057239]
  3. John and Carla Klein Family research fund

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This study used next-generation sequencing to analyze isoform switching events in esophageal adenocarcinoma and found their association with tissue histopathology and TP53 mutation status. It also identified certain isoforms that were significantly linked to patient survival.
Isoform switching events with predicted functional conse-quences are common in many cancers, but characterization of switching events in esophageal adenocarcinoma (EAC) is lacking. Next-generation sequencing was used to detect levels of RNA transcripts and identify specific isoforms in treat-ment-naive esophageal tissues ranging from premalignant Barrett's esophagus (BE), BE with low-or high-grade dysplasia (BE.LGD, BE.HGD), and EAC. Samples were stratified by his-topathology and TP53 mutation status, identifying significant isoform switching events with predicted functional conse-quences. Comparing BE.LGD with BE.HGD, a histopathology linked to cancer progression, isoform switching events were identified in 75 genes including KRAS, RNF128, and WRAP53. Stratification based on TP53 status increased the number of significant isoform switches to 135, suggesting switching events affect cellular functions based on TP53 muta-tion and tissue histopathology. Analysis of isoforms agnostic, exclusive, and shared with mutant TP53 revealed unique signa-tures including demethylation, lipid and retinoic acid metabolism, and glucuronidation, respectively. Nearly half of isoform switching events were identified without significant gene-level expression changes. Importantly, two TP53-interact-ing isoforms, RNF128 and WRAP53, were significantly linked to patient survival. Thus, analysis of isoform switching events may provide new insight for the identification of prognostic markers and inform new potential therapeutic targets for EAC.

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