PT - JOURNAL ARTICLE AU - Zhang, Qi AU - Ye, Mao AU - Lin, Cheng AU - Hu, Manyi AU - Wang, Yangyang AU - Lou, Yu AU - Kong, Quanming AU - Zhang, Jungang AU - Li, Junjian AU - Zhang, Yuhua AU - Yang, Tianxing AU - Sun, Xu AU - Yao, Weiyun AU - Hua, Yongfei AU - Huang, Haifeng AU - Xu, Minghui AU - Wang, Xiaoguang AU - Yu, Xin AU - Tao, Weifeng AU - Liu, Runtian AU - Gao, Yuming AU - Wang, Tian AU - Wang, Jianing AU - Wei, Xiaobao AU - Wu, Jiangchao AU - Yu, Zhengping AU - Zhang, Chengwu AU - Yu, Chaohui AU - Bai, Xueli AU - Liang, Tingbo TI - Mass cytometry-based peripheral blood analysis as a novel tool for early detection of solid tumours: a multicentre study AID - 10.1136/gutjnl-2022-327496 DP - 2023 May 01 TA - Gut PG - 996--1006 VI - 72 IP - 5 4099 - http://gut.bmj.com/content/72/5/996.short 4100 - http://gut.bmj.com/content/72/5/996.full SO - Gut2023 May 01; 72 AB - Objective Early detection of a tumour remains an unmet medical need, and approaches with high sensitivity and specificity are urgently required. Mass cytometry time-of-flight (CyTOF) is a powerful technique to profile immune cells and could be applied to tumour detection. We attempted to establish diagnostic models for hepatocellular carcinoma (HCC) and pancreatic ductal adenocarcinoma (PDAC).Design We performed CyTOF analysis for 2348 participants from 15 centres, including 1131 participants with hepatic diseases, 584 participants with pancreatic diseases and 633 healthy volunteers. Diagnostic models were constructed through random forest algorithm and validated in subgroups.Results We determined the disturbance of systemic immunity caused by HCC and PDAC, and calculated a peripheral blood immune score (PBIScore) based on the constructed model. The PBIScore exhibited good performance in detecting HCC and PDAC, with both sensitivity and specificity being around 80% in the validation cohorts. We further established an integrated PBIScore (iPBIScore) by combining PBIScore and alpha-fetoprotein or carbohydrate antigen 19-9. The iPBIScore for HCC had an area under the curve (AUC) of 0.99, 0.97 and 0.96 in training, internal validation and external validation cohorts, respectively. Similarly, the iPBIScore for PDAC showed an AUC of 0.99, 0.98 and 0.97 in the training, internal validation and external validation cohorts, respectively. In early-stage and tumour-marker-negative patients, our iPBIScore-based models also showed an AUC of 0.95–0.96 and 0.81–0.92, respectively.Conclusion Our study proved that the alterations of peripheral immune cell subsets could assist tumour detection, and provide a ready-to-use detection model for HCC and PDAC.Data are available upon reasonable request.