• 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

Prediction of overall survival in stage II and III colon cancer through machine learning of rapidly-acquired proteomics.

作者信息

Xu Kailun, Yin Xiaoyang, Chen Hui, Huang Yuhui, Zheng Xi, Zhou Biting, Cai Xue, Gao Huanhuan, Tian Miaomiao, Hu Sijun, Zheng Shu, Yuan Changzheng, Nie Yongzhan, Guo Tiannan, Shao Yingkuan

机构信息

Department of Breast Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang, China), Cancer Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Zhejiang Provincial Clinical Research Center for Cancer, Hangzhou, Zhejiang, China.

出版信息

Cell Discov. 2024 Aug 13;10(1):85. doi: 10.1038/s41421-024-00707-7.

DOI:10.1038/s41421-024-00707-7
PMID:39134531
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11319451/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/720c/11319451/cb7086d7a77a/41421_2024_707_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/720c/11319451/cb7086d7a77a/41421_2024_707_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/720c/11319451/cb7086d7a77a/41421_2024_707_Fig1_HTML.jpg

相似文献

1
Prediction of overall survival in stage II and III colon cancer through machine learning of rapidly-acquired proteomics.通过快速获取的蛋白质组学的机器学习预测II期和III期结肠癌的总生存期。
Cell Discov. 2024 Aug 13;10(1):85. doi: 10.1038/s41421-024-00707-7.
2
A Prediction Model for Tumor Recurrence in Stage II-III Colorectal Cancer Patients: From a Machine Learning Model to Genomic Profiling.II-III期结直肠癌患者肿瘤复发的预测模型：从机器学习模型到基因组分析
Biomedicines. 2022 Feb 1;10(2):340. doi: 10.3390/biomedicines10020340.
3
Preoperative prediction of perineural invasion and KRAS mutation in colon cancer using machine learning.利用机器学习对结肠癌中神经周围浸润和KRAS突变进行术前预测。
J Cancer Res Clin Oncol. 2020 Dec;146(12):3165-3174. doi: 10.1007/s00432-020-03354-z. Epub 2020 Aug 10.
4
Establishment of a 12-gene expression signature to predict colon cancer prognosis.建立一个用于预测结肠癌预后的12基因表达特征。
PeerJ. 2018 Jun 14;6:e4942. doi: 10.7717/peerj.4942. eCollection 2018.
5
Development and validation of a new stage-specific nomogram model for predicting cancer-specific survival in patients in different stages of colon cancer: A SEER population-based study and external validation.用于预测不同分期结肠癌患者癌症特异性生存的新型阶段特异性列线图模型的开发与验证：一项基于监测、流行病学和最终结果（SEER）数据库人群的研究及外部验证
Front Oncol. 2022 Dec 7;12:1024467. doi: 10.3389/fonc.2022.1024467. eCollection 2022.
6
Machine learning evaluation of immune infiltrate through digital tumour score allows prediction of survival outcome in a pooled analysis of three international stage III colon cancer cohorts.通过数字肿瘤评分对免疫浸润进行机器学习评估可预测三个国际 III 期结肠癌队列的汇总分析中的生存结局。
EBioMedicine. 2024 Jul;105:105207. doi: 10.1016/j.ebiom.2024.105207. Epub 2024 Jun 15.
7
Preliminary Evaluation of a Novel Artificial Intelligence-based Prediction Model for Surgical Site Infection in Colon Cancer.一种用于预测结肠癌手术部位感染的新型人工智能模型的初步评估
Cancer Diagn Progn. 2022 Nov 3;2(6):691-696. doi: 10.21873/cdp.10161. eCollection 2022 Nov-Dec.
8
Prediction of Colon Cancer Stages and Survival Period with Machine Learning Approach.基于机器学习方法的结肠癌分期及生存期预测
Cancers (Basel). 2019 Dec 12;11(12):2007. doi: 10.3390/cancers11122007.
9
Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification.机器学习衍生特征在结肠癌风险分层中的病理学家验证。
JAMA Netw Open. 2023 Mar 1;6(3):e2254891. doi: 10.1001/jamanetworkopen.2022.54891.
10
A machine learning-based prognostic predictor for stage III colon cancer.基于机器学习的 III 期结肠癌预后预测器。
Sci Rep. 2020 Jun 25;10(1):10333. doi: 10.1038/s41598-020-67178-0.

引用本文的文献

1
Entering the Era of Multidimensional Prognostication for Personalized Risk Assessment in Stage III Colon Cancer.进入Ⅲ期结肠癌个性化风险评估的多维预后时代。
J Clin Oncol. 2025 May 20;43(15):1751-1754. doi: 10.1200/JCO-25-00205. Epub 2025 Apr 11.

本文引用的文献

1
A prognostic six-gene expression risk-score derived from proteomic profiling of the metastatic colorectal cancer secretome.基于转移性结直肠癌分泌组蛋白谱分析的预后六基因表达风险评分。
J Pathol Clin Res. 2022 Nov;8(6):495-508. doi: 10.1002/cjp2.294. Epub 2022 Sep 22.
2
ENO2 Promotes Colorectal Cancer Metastasis by Interacting with the LncRNA CYTOR and Activating YAP1-Induced EMT.ENO2 通过与 lncRNA CYTOR 相互作用并激活 YAP1 诱导的 EMT 促进结直肠癌转移。
Cells. 2022 Aug 1;11(15):2363. doi: 10.3390/cells11152363.
3
Mitochondrial dysfunction induces radioresistance in colorectal cancer by activating [Ca]-PDP1-PDH-histone acetylation retrograde signaling.
线粒体功能障碍通过激活 [Ca]-PDP1-PDH-组蛋白乙酰化逆行信号诱导结直肠癌细胞放射抵抗。
Cell Death Dis. 2021 Sep 6;12(9):837. doi: 10.1038/s41419-021-03984-2.
4
Specific activation of glycolytic enzyme enolase 2 in BRAF V600E-mutated colorectal cancer.BRAF V600E 突变型结直肠癌中糖酵解酶烯醇酶 2 的特异性激活。
Cancer Sci. 2021 Jul;112(7):2884-2894. doi: 10.1111/cas.14929. Epub 2021 May 14.
5
The role of PIAS3, p-STAT3 and ALR in colorectal cancer: new translational molecular features for an old disease.PIAS3、p-STAT3 和 ALR 在结直肠癌中的作用：一种古老疾病的新转化分子特征。
Eur Rev Med Pharmacol Sci. 2020 Oct;24(20):10496-10511. doi: 10.26355/eurrev_202010_23402.
6
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study.深度学习预测结直肠癌结局：一项探索性和验证性研究。
Lancet. 2020 Feb 1;395(10221):350-360. doi: 10.1016/S0140-6736(19)32998-8.
7
International validation of the consensus Immunoscore for the classification of colon cancer: a prognostic and accuracy study.共识免疫评分用于结肠癌分类的国际验证：预后和准确性研究。
Lancet. 2018 May 26;391(10135):2128-2139. doi: 10.1016/S0140-6736(18)30789-X. Epub 2018 May 10.
8
High-Risk Stage II Colon Cancer: Not All Risks Are Created Equal.高危 II 期结肠癌：并非所有风险都平等。
Ann Surg Oncol. 2018 Jul;25(7):1980-1985. doi: 10.1245/s10434-018-6484-8. Epub 2018 Apr 19.
9
What We Know About Stage II and III Colon Cancer: It's Still Not Enough.我们对II期和III期结肠癌的了解：仍然不够。
Target Oncol. 2017 Jun;12(3):265-275. doi: 10.1007/s11523-017-0494-5.
10
Prediction of overall survival in stage II and III colon cancer beyond TNM system: a retrospective, pooled biomarker study.超越TNM系统的II期和III期结肠癌总生存期预测：一项回顾性、汇总生物标志物研究
Ann Oncol. 2017 May 1;28(5):1023-1031. doi: 10.1093/annonc/mdx052.