Whole genome sequencing improves tissue-of-origin diagnosis and treatment options for cancer of unknown primary

全基因组测序可改善原发灶不明癌症的组织来源诊断和治疗选择。

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作者:Richard J Rebello # ,Atara Posner # ,Ruining Dong ,Owen W J Prall ,Tharani Sivakumaran ,Camilla B Mitchell ,Aidan Flynn ,Alex Caneborg ,Catherine Mitchell ,Sehrish Kanwal ,Clare Fedele ,Samantha Webb ,Krista Fisher ,Hui-Li Wong ,Shiva Balachander ,Wenying Zhu ,Shannon Nicolson ,Voula Dimitriadis ,Nicholas Wilcken ,Anna DeFazio ,Bo Gao ,Madhu Singh ,Ian M Collins ,Christopher Steer ,Mark Warren ,Narayan Karanth ,Huiling Xu ,Andrew Fellowes ,Rodney J Hicks ,Kym Pham Stewart ,Charles Shale ,Peter Priestley ,Sarah-Jane Dawson ,Joseph H A Vissers ,Stephen B Fox ,Penelope Schofield ,David Bowtell ,Oliver Hofmann ,Sean M Grimmond ,Linda Mileshkin ,Richard W Tothill
Genomics can inform both tissue-of-origin (TOO) and precision treatments for patients with cancer of unknown primary (CUP). Here, we use whole genome and transcriptome sequencing (WGTS) for 72 patients and show diagnostic superiority of WGTS over panel testing (386-523 genes) in 71 paired cases. WGTS detects all reportable DNA features found by panel as well as additional mutations of diagnostic or therapeutic relevance in 76% of cases. Curated WGTS features and a CUP prediction algorithm (CUPPA) trained on WGTS data of known cancer types informs TOO in 71% of cases otherwise undiagnosed by clinicopathology review. WGTS informs treatments for 79% of patients, compared to 59% by panel testing. Finally, WGS of cell-free DNA (cfDNA) from patients with a high cfDNA tumour fraction (>7%), enables high-likelihood CUPPA predictions in 41% of cases. WGTS is therefore superior to panel testing, broadens treatment options, and is feasible using routine pathology samples and cfDNA.

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