Eva-Leonne Göttgens1, Corina Nam van den Heuvel2, Monique C de Jong3, Johannes Ham Kaanders1, William Pj Leenders2, Marleen Ansems1, Johan Bussink1, Paul N Span1. 1. Radiotherapy and OncoImmunology laboratory, Department of Radiation Oncology, Radboud university medical center, 6525 GA Nijmegen, The Netherlands. 2. Department of Biochemistry, Radboud Institute for Molecular Life Sciences, University Medical Centre, 6525 GA Nijmegen, The Netherlands. 3. Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1006 CX Amsterdam, The Netherlands.
Abstract
Radiotherapy is an important treatment modality of head and neck squamous cell carcinomas (HNSCC). Multiple links have been described between the metabolic activity of tumors and their clinical outcome. Here we test the hypothesis that metabolic features determine radiosensitivity, explaining the relationship between metabolism and clinical outcome. Radiosensitivity of 14 human HNSCC cell lines was determined using colony forming assays and the expression profile of approximately 200 metabolic and cancer-related genes was generated using targeted RNA sequencing by single molecule molecular inversion probes. Results: Correlation between radiosensitivity data and expression profiles yielded 18 genes associated with radiosensitivity or radioresistance, of which adenosine triphosphate (ATP) citrate lyase (ACLY) was of particular interest. Pharmacological inhibition of ACLY caused an impairment of DNA damage repair, specifically homologous recombination, and lead to radiosensitization in HNSCC cell lines. Examination of a The Cancer Genome Atlas (TCGA) cohort of HNSCC patients revealed that high expression of ACLY was predictive for radiotherapy failure, as it was only associated with poor overall survival in patients who received radiotherapy (hazard ratio of 2.00, 95% CI: 1.12-3.55; p = 0.0184). These data were further validated in an independent cohort of HNSCC patients treated with chemoradiation. Furthermore, patients with poor locoregional control after radiotherapy have significantly higher nuclear ACLY protein levels. Together, we here show that ACLY affects DNA damage repair, and is a predictive factor for radiotherapy outcome in HNSCC.
Radiotherapy is an important treatment modality of head and neck squamous cell carcinomas (HNSCC). Multiple links have been described between the metabolic activity of tumors and their clinical outcome. Here we test the hypothesis that metabolic features determine radiosensitivity, explaining the relationship between metabolism and clinical outcome. Radiosensitivity of 14 humanHNSCC cell lines was determined using colony forming assays and the expression profile of approximately 200 metabolic and cancer-related genes was generated using targeted RNA sequencing by single molecule molecular inversion probes. Results: Correlation between radiosensitivity data and expression profiles yielded 18 genes associated with radiosensitivity or radioresistance, of which adenosine triphosphate (ATP) citrate lyase (ACLY) was of particular interest. Pharmacological inhibition of ACLY caused an impairment of DNA damage repair, specifically homologous recombination, and lead to radiosensitization in HNSCC cell lines. Examination of a The Cancer Genome Atlas (TCGA) cohort of HNSCCpatients revealed that high expression of ACLY was predictive for radiotherapy failure, as it was only associated with poor overall survival in patients who received radiotherapy (hazard ratio of 2.00, 95% CI: 1.12-3.55; p = 0.0184). These data were further validated in an independent cohort of HNSCCpatients treated with chemoradiation. Furthermore, patients with poor locoregional control after radiotherapy have significantly higher nuclear ACLY protein levels. Together, we here show that ACLY affects DNA damage repair, and is a predictive factor for radiotherapy outcome in HNSCC.
Entities:
Keywords:
ACLY; DNA repair; HNSCC; predictive markers; radiosensitivity
Authors: Karolina M Andralojc; Duaa Elmelik; Willem J G Melchers; William P J Leenders; Menno Rasing; Bernard Pater; Albert G Siebers; Ruud Bekkers; Martijn A Huynen; Johan Bulten; Diede Loopik Journal: BMC Med Date: 2022-06-09 Impact factor: 11.150
Authors: Eva-Leonne Göttgens; Marleen Ansems; William P J Leenders; Johan Bussink; Paul N Span Journal: Cancers (Basel) Date: 2021-03-03 Impact factor: 6.639