Literature DB >> 34052294

Evaluating mismatch repair deficiency for solid tumor immunotherapy eligibility: immunohistochemistry versus microsatellite molecular testing.

Omer A M Saeed1, Steven A Mann1, Claudio Luchini2, Kun Huang3, Shaobo Zhang1, Joyashree D Sen1, Maria L Piredda2, Mingsheng Wang1, Lee Ann Baldrige1, R Matthew Sperling1, Kendra L Curless1, Liang Cheng4.   

Abstract

While many landmark solid tumor immunotherapy studies show clinical benefits for solid tumors with high microsatellite instability (MSI-H) and mismatch repair deficiency (dMMR), the methodologies focus only on confirmatory polymerase chain reaction (PCR) testing for MSI-H. Because some tumors are either dMMR or MSI-H but not the other, clinicians must choose between two testing methods for a broad patient population. We investigated the level of correlation between MMR protein immunohistochemistry (IHC) and microsatellite PCR testing results in 62 cancer patients. Thirty-five of the 62 cases (56.5%) were MSI-H by PCR, whereas 35 (56.5%) were dMMR by IHC. MMR IHC results correlated well with MSI PCR in 32 co-positive cases (91.4%) and 24 co-negative cases (88.9%). Six discrepant cases (9.7%) were identified, among which three were MSI-H and MMR intact, and three were dMMR and microsatellite stable. The results of this study highlight the implications of dMMR/MSI testing strategies on precision oncology. Co-testing with both MMR IHC and MSI PCR may be an effective screening strategy for evaluating immunotherapy eligibility status for solid tumors.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Checkpoint inhibition; Colorectal cancer; Microsatellite instability (MSI); Mismatch repair deficiency (dMMR); Precision genomics; Precision immunotherapy; Solid tumors; Testing discrepancy

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Year:  2021        PMID: 34052294     DOI: 10.1016/j.humpath.2021.05.009

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  2 in total

Review 1.  Artificial Intelligence for Predicting Microsatellite Instability Based on Tumor Histomorphology: A Systematic Review.

Authors:  Ji Hyun Park; Eun Young Kim; Claudio Luchini; Albino Eccher; Kalthoum Tizaoui; Jae Il Shin; Beom Jin Lim
Journal:  Int J Mol Sci       Date:  2022-02-23       Impact factor: 5.923

2.  xDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System in Colorectal Cancer.

Authors:  Aurelia Bustos; Artemio Payá; Andrés Torrubia; Rodrigo Jover; Xavier Llor; Xavier Bessa; Antoni Castells; Ángel Carracedo; Cristina Alenda
Journal:  Biomolecules       Date:  2021-11-29
  2 in total

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