Division of Cell Biology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Int J Cancer. 2020 Sep 15;147(6):1732-1739. doi: 10.1002/ijc.32962. Epub 2020 Mar 30.
DNA copy number alterations (CNAs) are frequent in cancer, and recently developed CNA signatures revealed their value in molecular tumor stratification for patient prognosis and platinum resistance prediction in ovarian cancer. Head and neck squamous cell carcinoma (HNSCC) is also characterized by high CNAs. In this study, we determined CNA in 173 human papilloma virus-negative HNSCC from a Dutch multicenter cohort by low-coverage whole genome sequencing and tested the prognostic value of seven cancer-derived CNA signatures for these cisplatin- and radiotherapy-treated patients. We find that a high CNA signature 1 (s1) score is associated with low values for all other signatures and better patient outcomes in the Dutch cohorts and The Cancer Genome Atlas HNSCC data set. High s5 and s7 scores are associated with increased distant metastasis rates and high s6 scores with poor overall survival. High cumulative cisplatin doses result in improved outcomes in chemoradiotherapy-treated HNSCC patients. Here we find that tumors high in s1 or low in s6 are most responsive to a change in cisplatin dose. High s5 values, however, significantly increase the risk for metastasis in patients with low cumulative cisplatin doses. Together this suggests that the processes causing these CNA signatures affect cisplatin response in HNSCC. In conclusion, CNA signatures derived from a different cancer type were prognostic and associated with cisplatin response in HNSCC, suggesting they represent underlying molecular processes that define patient outcome.
DNA 拷贝数改变(CNAs)在癌症中很常见,最近开发的 CNA 特征揭示了它们在分子肿瘤分层中的价值,可用于预测卵巢癌患者的预后和铂类耐药性。头颈部鳞状细胞癌(HNSCC)也具有高 CNA 的特征。在这项研究中,我们通过低覆盖全基因组测序确定了来自荷兰多中心队列的 173 例人乳头瘤病毒阴性 HNSCC 的 CNA,并测试了七种源自癌症的 CNA 特征对这些接受顺铂和放疗治疗的患者的预后价值。我们发现,高 CNA 特征 1(s1)评分与其他所有特征的低值以及荷兰队列和癌症基因组图谱 HNSCC 数据集中患者的更好结局相关。高 s5 和 s7 评分与远处转移率增加相关,高 s6 评分与总生存率差相关。高累积顺铂剂量可改善接受放化疗的 HNSCC 患者的结局。在这里,我们发现 s1 高或 s6 低的肿瘤对顺铂剂量变化的反应最敏感。然而,高 s5 值会显著增加低累积顺铂剂量患者发生转移的风险。综上所述,源自不同癌症类型的 CNA 特征可预测预后并与 HNSCC 中的顺铂反应相关,这表明它们代表了定义患者结局的潜在分子过程。
总之,源自不同癌症类型的 CNA 特征可预测预后并与 HNSCC 中的顺铂反应相关,这表明它们代表了定义患者结局的潜在分子过程。