高级检索
当前位置: 首页 > 详情页

Identification of gene signatures related to hypoxia and angiogenesis in pancreatic cancer to aid immunotherapy and prognosis

文献详情

资源类型:
Pubmed体系:
机构: [1]Department of Obstetrics and Gynaecology, Shenzhen University General Hospital, Shenzhen, Guangdong, China. [2]Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, Guangdong, China. [3]Shenzhen Key Laboratory, Shenzhen University General Hospital, Shenzhen, Guangdong, China. [4]Department of Ultrasound, The People's Hospital of Shapingba District, Chongqing, China. [5]The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China. [6]Department of Hepatobiliary Surgery, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, China. [7]Department of Teaching and Research, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, China. [8]Guangdong Provincial Key Laboratory of Regional Immunity and Diseases and Carson International Cancer, Shenzhen University, Shenzhen, China.
出处:
ISSN:

摘要:
One of the most diverse tumors is pancreatic cancer (PC), which makes predicting the prognosis challenging. PC development is directly related to hypoxia, angiogenesis, and immunotherapy. It is still unclear how the three features are related.The Genotype-Tissue Expression (GTEx) and the Cancer Genome Atlas (TCGA) database were employed to obtain sequencing data for healthy pancreatic tissues and PC tissues, respectively. According to the constructed hypoxic prognostic model (HPM) and angiogenic prognostic model (APM), 4 subtypes of PC were identified. Hypoxia and angiogenesis prognostic model (HAPM) was established based on differentially expressed genes (DEGs) between high-angiogenesis/high-hypoxia (HH) and low-angiogenesis/low-hypoxia (LL) subgroups. Base on the median risk score, PC patients were separated into high-risk and low-risk groups, and clinical traits, prognosis, percentage of immune cell infiltration, PD-1 expression, and the fraction of T-cell depletion were compared between the groups. Finally, the predictive accuracy of the tumor immune dysfunction and rejection (TIDE) and tumor inflammatory signature (TIS) models, as well as HAPM, was compared.We analyzed the mRNA sequencing data from 178 PC tissues and 171 normal pancreatic tissues to obtain 9527 DEGs. We discovered 200 genes linked with hypoxia and 36 genes involved with angiogenesis through the literature. We found the core genes related with hypoxia and angiogenesis in PC by intersecting the DEGs of the HH and LL subgroups with those of PC via WGCNA. IL-17 signaling pathway, ECM-receptor interactions, cytokine receptor interactions, etc. were all enriched in the Kyoto Encyclopedia of Genes and Genomes (KEGG) results of core genes. HAPM has good predictive efficiency, according to an evaluation of KM survival curves and ROC curves. The external dataset also validated the model's ability to anticipate outcomes. Patients in the high- and low-risk groups were compared for PD1 expression and T-cell exclusion scores, which suggested that the model might be used to forecast which PC patients might benefit from immunotherapy.The probable molecular processes connecting hypoxia and angiogenesis are described in this work, and a model is developed that may be utilized to forecast the prognosis for PC patients and the benefits of immunotherapy.Copyright © 2023 Li, Yang, Xue, Yang, He, Ai and Liu.

基金:
语种:
PubmedID:
中科院(CAS)分区:
出版当年[2022]版:
大类 | 3 区 医学
小类 | 3 区 肿瘤学
最新[2025]版:
大类 | 3 区 医学
小类 | 4 区 肿瘤学
第一作者:
第一作者机构: [1]Department of Obstetrics and Gynaecology, Shenzhen University General Hospital, Shenzhen, Guangdong, China. [2]Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, Guangdong, China. [3]Shenzhen Key Laboratory, Shenzhen University General Hospital, Shenzhen, Guangdong, China.
共同第一作者:
通讯作者:
通讯机构: [2]Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, Guangdong, China. [6]Department of Hepatobiliary Surgery, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, China. [8]Guangdong Provincial Key Laboratory of Regional Immunity and Diseases and Carson International Cancer, Shenzhen University, Shenzhen, China.
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:2018 今日访问量:0 总访问量:645 更新日期:2024-07-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 广东省中医院 技术支持:重庆聚合科技有限公司 地址:广州市越秀区大德路111号