Mathematical Biosciences and Engineering | |
A novel immune checkpoint-related gene signature for hepatocellular carcinoma to predict clinical outcomes and therapeutic response | |
Siyuan Tian1  Chunmei Yang1  Jiahao Yu1  Xia Zhou1  Guoyun Xuan1  Yansheng Liu1  Yulong Shang1  Shuoyi Ma1  Yinan Hu1  Ying Han1  Miao Zhang1  Jingyi Liu2  Keshuai Sun3  | |
[1] 1. State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive Diseases, The Fourth Military Medical University, Xi'an 710032, China;2. Department of Radiation Oncology, Xijing Hospital, The Fourth Military Medical University, Xi'an 710032, China;3. Department of Gastroenterology, The Air Force Hospital from Eastern Theater of PLA, Nanjing 210002, China; | |
关键词: hcc; immune checkpoint; gene signature; survival analysis; therapeutic response; | |
DOI : 10.3934/mbe.2022220 | |
来源: DOAJ |
【 摘 要 】
Immune checkpoint genes (ICGs) have recently been proven to perform instrumental functions in the maintenance of immune homeostasis and represent a promising therapeutic strategy; however, their expression patterns and prognostic values are not fully elucidated in hepatocellular carcinoma (HCC). In this investigation, we focused on establishing and validating a prognostic gene signature to facilitate decision-making in clinical practice. Clinical information, as well as transcriptome data, was obtained from the Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) database. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) Cox method were employed to build a multi-gene signature in the TCGA database, while the ICGC database was used for validation. Subsequently, utilizing the six-gene signature, we were able to categorize patients into high- and low-risk groups. In two cohorts, survival analysis findings revealed a dismal outlook for the high-risk group. The receiver operating characteristic curves were utilized to estimate the gene signature's prediction ability. Moreover, correlation analysis showed high-risk group was linked to advanced pathological stage, infiltration of immune cells and therapeutic response. In summary, this unique gene profile might serve not only as a useful prognostic indicator but also as a marker of therapy responsiveness in HCC.
【 授权许可】
Unknown