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Peripheral and tumor-infiltrating immune cells are correlated with patient outcomes in ovarian cancer

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文献详情

资源类型：
Pubmed体系：
作者：
Zhang Weiwei[1,2] ; Ling Yawen[3] ; Li Zhidong[3] ; Peng Xingchen[1,*1] ; Ren Yazhou[3,*2] ;
机构： [1]Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China. [2]Department of Oncology, Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China. [3]School of Computer Science and Engineering, Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Chengdu, China.
出处：
DOI： 10.1002/cam4.5590

关键词： machine learning ovarian cancer peripheral blood tumor-infiltrating

摘要：
At present, there is still a lack of reliable biomarkers for ovarian cancer (OC) to guide prognosis prediction and accurately evaluate the dominant population of immunotherapy. In recent years, the relationship between peripheral blood markers and tumor-infiltrating immune cells (TICs) with cancer has attracted much attention. However, the relationship between the survival of OC patients and intratumoral- or extratumoral-associated immune cells remains controversial.In this study, four machine-learning algorithms were used to predict overall survival in OC patients based on peripheral blood indicators. To further screen out immune-related gene and molecular targets, we systematically explored the correlation between TICs and OC patient survival based on The Cancer Genome Atlas database. Using the TICs score method, patients were divided into a low immune infiltrating cell group and a high immune infiltrating cell group.The results showed that there was a significant statistical significance between the peripheral blood indicators and the survival prognosis of OC patients. Survival analysis showed that TICs play a crucial role in the survival of OC patients. Four core genes, CXCL9, CD79A, MS4A1, and MZB1, were identified by cross-PPI and COX regression analysis. Further analysis found that these genes were significantly associated with both TICs and survival in OC patients.These results suggest that both peripheral blood markers and TICs can be used as prognostic predictors in patients with OC, and CXCL9, CD79A, MS4A1, and MZB1 may be potential therapeutic targets for OC immunotherapy.© 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

基金：
The National Key Research and Development Program of China, Grant/ Award Number: 2021YFE0206600; National Natural Science Foundation of China, Grant/Award Number: 82172842&81672386; Sichuan Science and Technology Program, Grant/ Award Number: 2022YFSY0012, 2021ZYCD011, 2021YFSY0008, 2021CDDZ-25 and 2021CDZG-24; Chengdu International Science and Technology Cooperation Program, Grant/Award Number: 2022-GH03- 00004- HZ; West China Nursing Discipline Development Special Fund Project, Grant/Award Number: HXHL21008; Translational medicine fund of West China Hospital,Grant/Award Number: CGZH19002; the Post-Doctor Research Project, West China Hospital, Sichuan University, Grant/Award Number: 2020HXBH119; the China Medical Board and clinical research incubation project of West China Hospital, Grant/Award Number: Grant#22-482& 20HXFH037; the Science and technology project of the Health planning committee of Sichuan and Chengdu, Grant/Award Number: 2020035&2021115; Xinglin Scholars Program of Chengdu University of Traditional Chinese Medicine, Grant/ Award Number: YYZX2021039; Chengdu Fifth People’s Hospital Scientific Research Project, Grant/ Award Number: KYJJ2021-05; Chengdu Fifth People's Hospital Teaching Reform Research Project, Grant/Award Number: JGZX202214
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2023]版：
大类 | 2 区 医学
小类 | 3 区 肿瘤学
最新[2023]版：
大类 | 2 区 医学
小类 | 3 区 肿瘤学
第一作者：
第一作者机构： [1]Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China. [2]Department of Oncology, Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
共同第一作者：
通讯作者：
通讯机构： [1]Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China. [3]School of Computer Science and Engineering, Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Chengdu, China. [*1]Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China. [*2]School of Computer Science and Engineering, Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Chengdu 611731, China.
推荐引用方式(GB/T 7714)：
Zhang Weiwei,Ling Yawen,Li Zhidong,et al.Peripheral and tumor-infiltrating immune cells are correlated with patient outcomes in ovarian cancer[J].Cancer medicine.2023,doi:10.1002/cam4.5590.
APA：
Zhang Weiwei,Ling Yawen,Li Zhidong,Peng Xingchen&Ren Yazhou.(2023).Peripheral and tumor-infiltrating immune cells are correlated with patient outcomes in ovarian cancer.Cancer medicine,,
MLA：
Zhang Weiwei,et al."Peripheral and tumor-infiltrating immune cells are correlated with patient outcomes in ovarian cancer".Cancer medicine .(2023)

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