• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

GCdiscrimination:基于一毫升血液的胃癌识别。

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

机构信息

Lanzhou University.

First Hospital of Lanzhou University.

出版信息

Brief Bioinform. 2021 Jan 18;22(1):536-544. doi: 10.1093/bib/bbaa006.

DOI:10.1093/bib/bbaa006
PMID:32010933
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/.

摘要

胃癌(GC)仍然是全球癌症死亡的主要原因之一。与此同时,随着对生物标志物的更好理解和临床实践,液体活检在癌症的筛查和检测中受到了广泛关注。在这项工作中,我们初步将 58 项常规血液生化指标用作综合标志物,这进一步扩大了液体活检的范围,并构建了一个由 17 个排名最高的指标组成的 GC 判别系统,该系统通过随机森林方法构建,用于根据总共 2951 个样本的测试数据,在组织学和胃镜诊断之前协助初步评估。所选指标由八项常规血液指标(MO%、IG#、IG%、EO%、P-LCR、RDW-SD、HCT 和 RDW-CV)和九项血液生化指标(TP、AMY、GLO、CK、CHO、CK-MB、TG、ALB 和γ-GGT)组成。该系统呈现出强大的分类性能,可以快速区分 GC 与其他胃病、不同癌症和健康人群,交叉验证集的灵敏度、特异性、总准确率和曲线下面积分别为 0.9067、0.9216、0.9138 和 0.9720。此外,该系统不仅提供了一种创新策略,以促进快速实时的 GC 识别,还揭示了 GC 与这些常规血液生化参数之间的远程相关性,有助于揭示这些参数与 GC 的隐藏关联,并为随后研究 GC 预防计划和监测管理的临床价值提供依据。该识别系统名为 GC 判别,现可在 http://lishuyan.lzu.edu.cn/GC/ 上获取。

相似文献

1
GCdiscrimination: identification of gastric cancer based on a milliliter of blood.GCdiscrimination:基于一毫升血液的胃癌识别。
Brief Bioinform. 2021 Jan 18;22(1):536-544. doi: 10.1093/bib/bbaa006.
2
Intelligent identification system of gastric stromal tumors based on blood biopsy indicators.基于血检指标的胃间质瘤智能识别系统。
BMC Med Inform Decis Mak. 2023 Oct 13;23(1):214. doi: 10.1186/s12911-023-02324-y.
3
ATBdiscrimination: An in Silico Tool for Identification of Active Tuberculosis Disease Based on Routine Blood Test and T-SPOT.TB Detection Results.基于常规血液检测和 T-SPOT.TB 检测结果的活动性结核病鉴别诊断的计算机工具(ATBdiscrimination)
J Chem Inf Model. 2019 Nov 25;59(11):4561-4568. doi: 10.1021/acs.jcim.9b00678. Epub 2019 Oct 25.
4
Diagnostic Power of Blood Parameters as Screening Markers in Gastric Cancer Patients.血液参数作为胃癌患者筛查标志物的诊断效能
Asian Pac J Cancer Prev. 2016;17(9):4433-4437.
5
The red distribution width and the platelet distribution width as prognostic predictors in gastric cancer.红细胞分布宽度和血小板分布宽度作为胃癌预后的预测指标。
BMC Gastroenterol. 2017 Dec 20;17(1):163. doi: 10.1186/s12876-017-0685-7.
6
Circulating Exosomal Gastric Cancer-Associated Long Noncoding RNA1 as a Biomarker for Early Detection and Monitoring Progression of Gastric Cancer: A Multiphase Study.循环外泌体胃癌相关长非编码 RNA1 作为胃癌早期检测和监测进展的生物标志物:一项多阶段研究。
JAMA Surg. 2020 Jul 1;155(7):572-579. doi: 10.1001/jamasurg.2020.1133.
7
A Disintegrin and Metalloproteinase 8 as a Potential Blood Biomarker for Early Diagnosis of Gastric Cancer.解整合素金属蛋白酶 8 作为一种潜在的胃癌早期诊断的血液生物标志物。
Yonsei Med J. 2019 Aug;60(8):713-719. doi: 10.3349/ymj.2019.60.8.713.
8
Potential prognostic, diagnostic and therapeutic markers for human gastric cancer.人类胃癌潜在的预后、诊断和治疗标志物。
World J Gastroenterol. 2014 Oct 14;20(38):13791-803. doi: 10.3748/wjg.v20.i38.13791.
9
Identification of Serum Biomarkers for Gastric Cancer Diagnosis Using a Human Proteome Microarray.使用人类蛋白质组芯片鉴定用于胃癌诊断的血清生物标志物
Mol Cell Proteomics. 2016 Feb;15(2):614-23. doi: 10.1074/mcp.M115.051250. Epub 2015 Nov 23.
10
Circulating miR-200c as a diagnostic and prognostic biomarker for gastric cancer.循环 miR-200c 作为胃癌的诊断和预后生物标志物。
J Transl Med. 2012 Sep 6;10:186. doi: 10.1186/1479-5876-10-186.

引用本文的文献

1
A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation.一种结合中医与现代医学的机器学习方法用于鉴别病毒性肺炎的寒证与热证:机器学习模型的开发与验证
JMIR Med Inform. 2025 Jul 16;13:e64725. doi: 10.2196/64725.
2
Predictive models of lymph node metastasis in patients with gastrointestinal stromal tumors based on machine learning algorithms: a SEER-based retrospective study.基于机器学习算法的胃肠道间质瘤患者淋巴结转移预测模型:一项基于监测、流行病学和最终结果(SEER)数据库的回顾性研究
J Gastrointest Oncol. 2025 Feb 28;16(1):53-66. doi: 10.21037/jgo-24-777. Epub 2025 Feb 26.
3
Fecal bacterial biomarkers and blood biochemical indicators as potential key factors in the development of colorectal cancer.
粪便细菌生物标志物和血液生化指标作为结直肠癌发生发展的潜在关键因素。
mSystems. 2025 Mar 18;10(3):e0004325. doi: 10.1128/msystems.00043-25. Epub 2025 Feb 27.
4
Establishment of a differential diagnosis method and an online prediction platform for AOSD and sepsis based on gradient boosting decision trees algorithm.基于梯度提升决策树算法的 AOSD 和脓毒症鉴别诊断方法的建立和在线预测平台。
Arthritis Res Ther. 2023 Nov 16;25(1):220. doi: 10.1186/s13075-023-03207-3.
5
A novel nomogram based on the hematological prognosis risk scoring system can predict the overall survival of patients with hepatocellular carcinoma.一种基于血液学预后风险评分系统的新型列线图可预测肝细胞癌患者的总生存情况。
J Cancer Res Clin Oncol. 2023 Nov;149(16):14631-14640. doi: 10.1007/s00432-023-05255-3. Epub 2023 Aug 16.
6
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.预处理时红细胞分布宽度在中枢神经系统原发性弥漫性大B细胞淋巴瘤中对多个队列3P医学方法的预后意义。
EPMA J. 2022 Jul 15;13(3):499-517. doi: 10.1007/s13167-022-00290-5. eCollection 2022 Sep.
7
A novel machine learning model and a public online prediction platform for prediction of post-ERCP-cholecystitis (PEC).一种用于预测内镜逆行胰胆管造影术后胆囊炎(PEC)的新型机器学习模型和公共在线预测平台。
EClinicalMedicine. 2022 May 13;48:101431. doi: 10.1016/j.eclinm.2022.101431. eCollection 2022 Jun.