Expressed HNSCC variants by HPV-status in a well-characterized Michigan cohort View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Tingting Qin, Yanxiao Zhang, Katie R. Zarins, Tamara R. Jones, Shama Virani, Lisa A. Peterson, Jonathan B. McHugh, Douglas Chepeha, Gregory T. Wolf, Laura S. Rozek, Maureen A. Sartor

ABSTRACT

While whole-exome DNA sequencing is the most common technology to study genetic variants in tumors in known exonic regions, RNA-seq is cheaper, covers most of the same exonic regions, and is often more readily available. In this study, we show the utility of mRNA-seq-based variant analysis combined with targeted gene sequencing performed on both tumor and matched blood as an alternative when exome data is unavailable. We use the approach to study expressed variant profiles in the well-characterized University of Michigan (UM) head and neck squamous carcinoma (HNSCC) cohort (n = 36). We found that 441 out of 455 (~97%) identified cancer genes with an expressed variant in the UM cohort also harbor a somatic mutation in TCGA. Fourteen (39%) patients had a germline variant in a cancer-related Fanconi Anemia (FA) pathway gene. HPV-positive patients had more nonsynonymous, rare, and damaging (NRD) variants in those genes than HPV-negative patients. Moreover, the known mutational signatures for DNA mismatch repair and APOBEC activation were attributive to the UM expressed NRD variants, and the APOBEC signature contribution differed by HPV status. Our results provide additional support to certain TCGA findings and suggest an association of expressed variants in FA/DNA repair pathways with HPV-associated HNSCC tumorigenesis. These results will benefit future studies on this and other cohorts by providing the genetic variants of key cancer-related genes. More... »

PAGES

11458

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-29599-w

DOI

http://dx.doi.org/10.1038/s41598-018-29599-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105814165

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30061624


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