@Article{or.2023.028964,
AUTHOR = {XINRUI SHI, XIA GAO, WENCONG LIU, XUEJIAO TANG, JIAYI LIU, DONGCHEN PAN, XUEQING DUAN, YUQING JIN, WEIYAN REN, LEI YANG, WENXUAN LIU},
TITLE = {Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma},
JOURNAL = {Oncology Research},
VOLUME = {31},
YEAR = {2023},
NUMBER = {4},
PAGES = {569--590},
URL = {http://www.techscience.com/or/v31n4/53313},
ISSN = {1555-3906},
ABSTRACT = {Hepatocellular carcinoma (HCC) is the most common fatal cancer worldwide, patients with HCC have a high
mortality rate and poor prognosis. PANoptosis is a novel discovery of programmed cell death associated with cancer
development. However, the role of PANoptosis in HCC remains obscure. In this study, we enrolled 274 PANoptosisrelated genes (PANRGs) and screened 8 genes to set up a prognostic model. A previous scoring system calculated
PANscore was utilized to quantify the individual risk level of each HCC patient, and the reliability of the prognostic
model has been validated in an external cohort. Nomogram constructed with PANscore and clinical characteristics
were used to optimize individualized treatment for each patient. Single-cell analysis revealed a PANoptosis model
associated with tumor immune cell infiltration, particularly natural killer (NK) cells. Further exploration of hub genes
and assessment of the prognostic role of these 4 hub genes in HCC by quantitative real-time PCR (qRT-PCR) and
immunohistochemistry (IHC). In conclusion, we evaluated a PANoptosis-based prognostic model as a potential
prognostic biomarker for HCC patients.},
DOI = {10.32604/or.2023.028964}
}