Frontiers in OncologyGenetic & Genomic MedicinePeer-reviewed journal article
Analysis of Mutational Profile of Hypopharyngeal and Laryngeal Head and Neck Cancers Identifies KMT2C as a Potential Tumor Suppressor
Marcin M. MachnickiiD, Anna RzepakowskaiD, Joanna I. Janowska, Monika PępekiD, Alicja Krop, Katarzyna PruszczykiD, Piotr StawińskiiD, Małgorzata RydzanicziD, Jakub GrzybowskiiD, Barbara GórnickaiD, Maciej WnukiD, Rafał PłoskiiD, Ewa Osuch‐WójcikiewicziD, Tomasz StokłosaiD
Abstract
Hypopharyngeal cancer represents one of worst types of head and neck tumors with only few studies focusing on the genomic profile of this type of cancer. Using targeted next-generation sequencing we analyzed 48 HPV-negative tumor samples including 23 originating from hypopharynx, and 25 from larynx. Among genes previously described as significantly mutated, TP53, FAT1, NOTCH1, KMT2C and CDKN2A were found to be most frequently mutated. We also found that more than three-fourths of our patients harbored candidate actionable or prognostic alterations in genes belonging to RTK/ERK/PI3K, cell-cycle and DNA-damage repair pathways. Using previously published data we compared 67 hypopharyngeal cancers to 595 head and neck cancers from other sites and found no prominent differences in mutational frequency except for CASP8 and HRAS genes. Since we observed relatively frequent mutations of KTM2C (MLL3) in our dataset, we analyzed their role in vitro by generating KMT2C-mutant hypopharyngeal cancer cell line FaDu with CRISPR-Cas9. We demonstrate that KMT2C loss-of-function results in increased colony formation and proliferation, in concordance with its previously published results. In summary, our results show that mutational profile of hypopharyngeal cancers might be similar to the one observed for other head and neck cancers with respect to minor differences and includes multiple candidate actionable and prognostic genetic alterations. We also demonstrate for the first time that KMT2C gene may play a role of tumor suppressor in head and neck cancer, which opens new possibilities in the search for new targeted treatment approaches.
- organism: human
- assay: whole-exome sequencing
- research focus: variant calling
- research focus: differential expression
- approach: statistical model
- Citations
- 10
- FWCI
- 1.76
- Field percentile
- top 16%
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