Tumor analysis of MMR genes in Lynch‐like syndrome: Challenges associated with results interpretation

Author:

Rofes Paula12ORCID,Dueñas Núria12ORCID,del Valle Jesús12,Navarro Matilde1,Balmaña Judith3,Ramón y Cajal Teresa4,Tuset Noemí5,Castillo Carmen1,González Sara12,Brunet Joan126,Capellá Gabriel12,Lázaro Conxi12,Pineda Marta12

Affiliation:

1. Hereditary Cancer Program Catalan Institute of Oncology, Molecular Mechanisms and Experimental Therapy in Oncology Program, Institut d'Investigació Biomèdica de Bellvitge – IDIBELL L'Hospitalet de Llobregat Spain

2. Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) Madrid Spain

3. Hereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron Hospital Barcelona Spain

4. Medical Oncology Department Hospital de la Santa Creu i Sant Pau Barcelona Spain

5. Medical Oncology Department Arnau de Vilanova University Hospital Lleida Spain

6. Hereditary Cancer Program Catalan Institute of Oncology – IDIBGi Girona Spain

Abstract

AbstractBackgroundUp to 70% of suspected Lynch syndrome patients harboring MMR deficient tumors lack identifiable germline pathogenic variants in MMR genes, being referred to as Lynch‐like syndrome (LLS). Previous studies have reported biallelic somatic MMR inactivation in a variable range of LLS‐associated tumors. Moreover, translating tumor testing results into patient management remains controversial. Our aim is to assess the challenges associated with the implementation of tumoral MMR gene testing in routine workflows.MethodsHere, we present the clinical characterization of 229 LLS patients. MMR gene testing was performed in 39 available tumors, and results were analyzed using two variant allele frequency (VAF) thresholds (≥5% and ≥10%).Results and DiscussionMore biallelic somatic events were identified at VAF ≥ 5% than ≥10% (35.9% vs. 25.6%), although the rate of nonconcordant results regarding immunohistochemical pattern increased (30.8% vs. 20.5%). Interpretation difficulties question the current utility of the identification of MMR somatic hits in the diagnostic algorithm of suspected LS cases.

Funder

Generalitat de Catalunya

Ministerio de Ciencia e Innovación

Publisher

Wiley

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