Literature DB >> 32010933

GCdiscrimination: identification of gastric cancer based on a milliliter of blood.

Jiangpeng Wu1, Yifan Yang1, Long Cheng1, Jing Wu1, Lili Xi2, Ying Ma3, Pengyi Zhang1, Xiaoying Xu4, Dekui Zhang5, Shuyan Li1.   

Abstract

Gastric cancer (GC) continues to be one of the major causes of cancer deaths worldwide. Meanwhile, liquid biopsies have received extensive attention in the screening and detection of cancer along with better understanding and clinical practice of biomarkers. In this work, 58 routine blood biochemical indices were tentatively used as integrated markers, which further expanded the scope of liquid biopsies and a discrimination system for GC consisting of 17 top-ranked indices, elaborated by random forest method was constructed to assist in preliminary assessment prior to histological and gastroscopic diagnosis based on the test data of a total of 2951 samples. The selected indices are composed of eight routine blood indices (MO%, IG#, IG%, EO%, P-LCR, RDW-SD, HCT and RDW-CV) and nine blood biochemical indices (TP, AMY, GLO, CK, CHO, CK-MB, TG, ALB and γ-GGT). The system presented a robust classification performance, which can quickly distinguish GC from other stomach diseases, different cancers and healthy people with sensitivity, specificity, total accuracy and area under the curve of 0.9067, 0.9216, 0.9138 and 0.9720 for the cross-validation set, respectively. Besides, this system can not only provide an innovative strategy to facilitate rapid and real-time GC identification, but also reveal the remote correlation between GC and these routine blood biochemical parameters, which helped to unravel the hidden association of these parameters with GC and serve as the basis for subsequent studies of the clinical value in prevention program and surveillance management for GC. The identification system, called GC discrimination, is now available online at http://lishuyan.lzu.edu.cn/GC/.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  GCdiscrimination; gastric cancer; identification; machine learning; routine blood indices

Year:  2020        PMID: 32010933     DOI: 10.1093/bib/bbaa006

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  2 in total

1.  Prognostic significance of pretreatment red blood cell distribution width in primary diffuse large B-cell lymphoma of the central nervous system for 3P medical approaches in multiple cohorts.

Authors:  Danhui Li; Shengjie Li; Zuguang Xia; Jiazhen Cao; Jinsen Zhang; Bobin Chen; Xin Zhang; Wei Zhu; Jianchen Fang; Qiang Liu; Wei Hua
Journal:  EPMA J       Date:  2022-07-15       Impact factor: 8.836

2.  A novel machine learning model and a public online prediction platform for prediction of post-ERCP-cholecystitis (PEC).

Authors:  Xu Zhang; Ping Yue; Jinduo Zhang; Man Yang; Jinhua Chen; Bowen Zhang; Wei Luo; Mingyuan Wang; Zijian Da; Yanyan Lin; Wence Zhou; Lei Zhang; Kexiang Zhu; Yu Ren; Liping Yang; Shuyan Li; Jinqiu Yuan; Wenbo Meng; Joseph W Leung; Xun Li
Journal:  EClinicalMedicine       Date:  2022-05-13
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.