Detecting and Tracking Circulating Tumour DNA Copy Number Profiles during First Line Chemotherapy in Oesophagogastric Adenocarcinoma

• Main Authors: Michael Davidson, Louise J. Barber, Andrew Woolston, Catherine Cafferkey, Sonia Mansukhani, Beatrice Griffiths, Sing-Yu Moorcraft, Isma Rana, Ruwaida Begum, Ioannis Assiotis, Nik Matthews, Sheela Rao, David Watkins, Ian Chau, David Cunningham, Naureen Starling, Marco Gerlinger
• Format: Article
• Language: English
• Published: MDPI AG 2019-05-01
• Series: Cancers
• Subjects: oesophagogastric adenocarcinoma; circulating tumour DNA; somatic copy number aberration; liquid biopsy
• Online Access: https://www.mdpi.com/2072-6694/11/5/736

DNA somatic copy number aberrations (SCNAs) are key drivers in oesophagogastric adenocarcinoma (OGA). Whether minimally invasive SCNA analysis of circulating tumour (ct)DNA can predict treatment outcomes and reveal how SCNAs evolve during chemotherapy is unknown. We investigated this by low-coverage whole genome sequencing (lcWGS) of ctDNA from 30 patients with advanced OGA prior to first-line chemotherapy and on progression. SCNA profiles were detectable pretreatment in 23/30 (76.7%) patients. The presence of liver metastases, primary tumour in situ, or of oesophageal or junctional tumour location predicted for a high ctDNA fraction. A low ctDNA concentration associated with significantly longer overall survival. Neither chromosomal instability metrics nor ploidy correlated with chemotherapy outcome. Chromosome 2q and 8p gains before treatment were associated with chemotherapy responses. lcWGS identified all amplifications found by prior targeted tumour tissue sequencing in cases with detectable ctDNA as well as finding additional changes. SCNA profiles changed during chemotherapy, indicating that cancer cell populations evolved during treatment; however, no recurrent SCNA changes were acquired at progression. Tracking the evolution of OGA cancer cell populations in ctDNA is feasible during chemotherapy. The observation of genetic evolution warrants investigation in larger series and with higher resolution techniques to reveal potential genetic predictors of response and drivers of chemotherapy resistance. The presence of liver metastasis is a potential biomarker for the selection of patients with high ctDNA content for such studies.