Detecting genetic hypermutability of gastrointestinal tumor by using a forensic STR kit

Anqi Chen1,2, Suhua Zhang2, Jixi Li1

  • 1State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, 200433, China.

Frontiers of Medicine
|August 2, 2019
PubMed

Insights

Forensic short tandem repeat (STR) analysis can identify hypermutation in gastrointestinal cancers. This method may help predict immunotherapy response in microsatellite instability-low/stable tumors.

Area of Science:

  • Oncology
  • Genetics
  • Immunotherapy

Background:

  • Somatic hypermutation and PD-1 overexpression are predictive biomarkers for immunotherapy response.
  • Biomarker-matched trials are limited, and many genomic alterations are difficult to target.

Purpose of the Study:

  • To investigate the utility of forensic short tandem repeat (STR) analysis for identifying hypermutational status in gastrointestinal (GI) cancers.
  • To assess the potential of STR alternations as biomarkers for predicting immunotherapy response, particularly in microsatellite instability-low/microsatellite stability (MSI-L/MSS) cases.

Main Methods:

  • Analyzed 250 GI tumors using two commercial kits for microsatellite instability (MSI) and forensic STR alternations.
  • Identified three types of STR alternations: allelic loss, Aadd, and Anew.
  • Determined a potential cutoff threshold for STR alternations (26.32%) to identify hypermutational status.

Main Results:

  • 62.4% of GI tumors exhibited STR alternations, including 100% of MSI-high and 60% of MSI-L/MSS cases.
  • 30% of patients showed STR instability with >26.32% STR alternations.
  • The 26.32% STR alternation cutoff successfully identified all 15 MSI cases, suggesting its potential as a threshold.

Conclusions:

  • Forensic STR kits, due to similar mutation mechanisms with MSI, show potential for identifying hypermutation in GI cancers.
  • STR analysis may offer a viable method for identifying hypermutational status, aiding in patient stratification for immunotherapy.

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