基于通路活性的蛋白质组学分类器将前列腺肿瘤分为两种亚型。

IF 2.8 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS
Rui Sun, Lingling Tan, Xuan Ding, Jun A, Zhangzhi Xue, Xue Cai, Sainan Li, Tiannan Guo
{"title":"基于通路活性的蛋白质组学分类器将前列腺肿瘤分为两种亚型。","authors":"Rui Sun, Lingling Tan, Xuan Ding, Jun A, Zhangzhi Xue, Xue Cai, Sainan Li, Tiannan Guo","doi":"10.1186/s12014-023-09441-w","DOIUrl":null,"url":null,"abstract":"<p><p>Prostate cancer (PCa) is the second most common cancer in males worldwide. The risk stratification of PCa is mainly based on morphological examination. Here we analyzed the proteome of 667 tumor samples from 487 Chinese PCa patients and characterized 9576 protein groups by PulseDIA mass spectrometry. Then we developed a pathway activity-based classifier concerning 13 proteins from seven pathways, and dichotomized the PCa patients into two subtypes, namely PPS1 and PPS2. PPS1 is featured with enhanced innate immunity, while PPS2 with suppressed innate immunity. This classifier exhibited a correlation with PCa progression in our cohort and was further validated by two published transcriptome datasets. Notably, PPS2 was significantly correlated with poor biochemical recurrence (BCR)/metastasis-free survival (log-rank P-value < 0.05). The PPS2 was also featured with cell proliferation activation. Together, our study presents a novel pathway activity-based stratification scheme for PCa.</p>","PeriodicalId":10468,"journal":{"name":"Clinical proteomics","volume":"20 1","pages":"50"},"PeriodicalIF":2.8000,"publicationDate":"2023-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638831/pdf/","citationCount":"0","resultStr":"{\"title\":\"A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes.\",\"authors\":\"Rui Sun, Lingling Tan, Xuan Ding, Jun A, Zhangzhi Xue, Xue Cai, Sainan Li, Tiannan Guo\",\"doi\":\"10.1186/s12014-023-09441-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Prostate cancer (PCa) is the second most common cancer in males worldwide. The risk stratification of PCa is mainly based on morphological examination. Here we analyzed the proteome of 667 tumor samples from 487 Chinese PCa patients and characterized 9576 protein groups by PulseDIA mass spectrometry. Then we developed a pathway activity-based classifier concerning 13 proteins from seven pathways, and dichotomized the PCa patients into two subtypes, namely PPS1 and PPS2. PPS1 is featured with enhanced innate immunity, while PPS2 with suppressed innate immunity. This classifier exhibited a correlation with PCa progression in our cohort and was further validated by two published transcriptome datasets. Notably, PPS2 was significantly correlated with poor biochemical recurrence (BCR)/metastasis-free survival (log-rank P-value < 0.05). The PPS2 was also featured with cell proliferation activation. Together, our study presents a novel pathway activity-based stratification scheme for PCa.</p>\",\"PeriodicalId\":10468,\"journal\":{\"name\":\"Clinical proteomics\",\"volume\":\"20 1\",\"pages\":\"50\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638831/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical proteomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12014-023-09441-w\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical proteomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12014-023-09441-w","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

摘要

癌症(PCa)是全世界男性中第二常见的癌症。前列腺癌的风险分层主要基于形态学检查。在这里,我们分析了来自487名中国前列腺癌患者的667个肿瘤样本的蛋白质组,并通过PulseDIA质谱法对9576个蛋白质组进行了表征。然后,我们开发了一个基于通路活性的分类器,涉及来自7个通路的13种蛋白质,并将前列腺癌患者分为两个亚型,即PPS1和PPS2。PPS1具有增强的先天免疫,而PPS2具有抑制的先天免疫。该分类器在我们的队列中表现出与前列腺癌进展的相关性,并通过两个已发表的转录组数据集进行了进一步验证。值得注意的是,PPS2与不良生化复发(BCR)/无转移生存率显著相关(log秩P值
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes.

Prostate cancer (PCa) is the second most common cancer in males worldwide. The risk stratification of PCa is mainly based on morphological examination. Here we analyzed the proteome of 667 tumor samples from 487 Chinese PCa patients and characterized 9576 protein groups by PulseDIA mass spectrometry. Then we developed a pathway activity-based classifier concerning 13 proteins from seven pathways, and dichotomized the PCa patients into two subtypes, namely PPS1 and PPS2. PPS1 is featured with enhanced innate immunity, while PPS2 with suppressed innate immunity. This classifier exhibited a correlation with PCa progression in our cohort and was further validated by two published transcriptome datasets. Notably, PPS2 was significantly correlated with poor biochemical recurrence (BCR)/metastasis-free survival (log-rank P-value < 0.05). The PPS2 was also featured with cell proliferation activation. Together, our study presents a novel pathway activity-based stratification scheme for PCa.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Clinical proteomics
Clinical proteomics BIOCHEMICAL RESEARCH METHODS-
CiteScore
5.80
自引率
2.60%
发文量
37
审稿时长
17 weeks
期刊介绍: Clinical Proteomics encompasses all aspects of translational proteomics. Special emphasis will be placed on the application of proteomic technology to all aspects of clinical research and molecular medicine. The journal is committed to rapid scientific review and timely publication of submitted manuscripts.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信