Whole-exome sequencing of HPV positive tonsillar and base of tongue squamous cell carcinomas reveals a global mutational pattern along with relapse-specific somatic variants

Andreas Ährlund-Richter, Stefan Holzhauser, Tina Dalianis, Anders Näsman, Michael Mints

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5 Citations (Scopus)

Abstract

To identify predictive/targetable markers in human papillomavirus positive (HPV + ) ton-sillar and base of tongue cancer (TSCC/BOTSCC), whole-exome sequencing (WES) of tumours of patients with/without recurrence was performed. Forty primary tumours and adjacent normal tissue were separated by micro-dissection from formalin-fixed paraffin-embedded tissue from patients treated with curative intent 2000–2014 at Karolinska University Hospital. Successful sequencing was obtained in primary tumours of 18 patients without and primaries of 17 with local or distant recurrence, as well as in 10 corresponding recurrences (i.e., five local relapses and five distant metas-tases) from these 17 patients. One variant—a high-impact deletion in the CDC27 gene—was observed only in primaries of 5/17 patients that had a recurrence after full treatment but in none of those without recurrence. In addition, 3 variants and 26 mutated genes, including CDC27 , BCLAF1 and AQP7 , were present in at least 30% of all primary tumours independent of prognosis. To conclude, a CDC27 deletion was specific and found in ~30% of samples from patients with a local relapse/distant metastasis and could, therefore, potentially be a prospective marker to predict prognosis. Commonly mutated genes, such as BCLAF1 , should be further studied in the context of targeted therapy.
Original languageEnglish
Article number77
JournalCancers
Volume14
Issue number1
Early online date24 Dec 2021
DOIs
Publication statusPublished - 1 Jan 2022

Funding

Funding: This research was funded by THE SWEDISH CANCER FOUNDATION, grant numbers 200778P, 200704P, 200764Fk and 210292JCIA; STOCKHOLMS LÄNS LANDSTING (ALF) grant number 20200059; THE CANCER AND ALLERGY FOUNDATION grant numbers 10127 and 10137; MAGNUS BERGVALLS STIFTELSE grant number 2020-03737; TORNSPIRAN grant number 2021; THE STOCKHOLM CANCER SOCIETY grant numbers 201242 and 201092 and SVENSKA LÄKARESÄLL-SKAPET grant number SLS-935256. Acknowledgments: The authors would like to thank Leila Mirzaie and Linnea Haeggblom for valuable technical support. The authors would also like to acknowledge the support with NGS services provided by Clinical Genomics Stockholm facility at the Science for Life Laboratory, jointly hosted by Department of Microbiology, Tumour and Cell biology at Karolinska Institutet and School of Engineering Sciences in Chemistry, Biotechnology and Health at the Royal Institute of Technology. The authors would also like to acknowledge the contributions of Valtteri Wirta, Anna Gellerbring, Keyvan Elhami and Hassan Foroughi within the above organisation for performing the WES. Erik Fasterius at the Department of Medical Sciences, Uppsala University, and National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden is also acknowledged for an initial bioinformatics analysis.

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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