bioRxivGenomicsPreprint
Mutational signature profiling classifies subtypes of clinically different mismatch repair deficient tumors with a differential immunogenic response potential
Mar Giner-CalabuigiD, Seila De Leon, Julian WangiD, Tara D. Fehlmann, Chinedu I. UkaegbuiD, Joanna A. GibsoniD, Miren AlustizaiD, María Dolores Picó, Cristina AlendaiD, Maite HerráiziD, Marta Carrillo PalauiD, Inmaculada SalcesiD, José ReyesiD, Silvia P. Ortega, Antònia Obrador‐HeviaiD, Michael CecchiniiD, Sapna SyngaliD, Elena M. StoffeliD, Nathan A. EllisiD, Joann Balazs SweasyiD, Rodrigo JoveriD, Xavier LloriD, Rosa M. Xicola
Abstract
BackgroundMismatch repair (MMR) deficiency is the hallmark of tumors from Lynch syndrome (LS), sporadic MLH1 hypermethylated, and Lynch-like syndrome (LLS), but there is a lack of understanding of the variability in their mutational profiles based on clinical phenotypes. The aim of this study was to perform a molecular characterization to identify novel features that can impact tumor behavior and clinical management. MethodsWe tested 105 MMR-deficient colorectal cancer tumors (25 LS, 35 LLS, and 45 sporadic) for global exome microsatellite instability, cancer mutational signatures, mutational spectrum and neoepitope load. Results78% of tumors showed high contribution of MMR-deficient mutational signatures, high level of global exome microsatellite instability, loss of MLH1/PMS2 protein expression and included sporadic tumors. 22% of tumors showed weaker features of MMR deficiency, 73% lost MSH2/MSH6 expression and included half of LS and LLS tumors. Remarkably, 9% of all tumors lacked global exome microsatellite instability. Lastly, HLA-B07:02 could be triggering the neoantigen presentation in tumors that show the strongest contribution of MMR-deficient tumors. ConclusionsNext-generation sequencing approaches allow for a granular molecular characterization of MMR-deficient tumors, which can be essential to properly diagnose and treat patients with these tumors in the setting of personalized medicine.
- organism: human
- assay: whole-exome sequencing
- research focus: differential expression
- research focus: variant calling
- approach: statistical model
- Citations
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