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Research Paper|Volume 15, Issue 10|pp 4159—4181

Characteristic of molecular subtypes based on PANoptosis-related genes and experimental verification of hepatocellular carcinoma

Haitao Ren1, Na Kang2, Shuan Yin3, Chen Xu4, Tengfei Qu5, Dongdong Dai5
  • 1Department of Interventional Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shangdong 266071, China
  • 2Operating Room, The Affiliated Hospital of Qingdao University, Qingdao, Shangdong 266071, China
  • 3Department of Pediatrics, The Affiliated Hospital of Qingdao University, Qingdao, Shangdong 266071, China
  • 4Department of Infectious Disease, The Affiliated Hospital of Qingdao University, Qingdao, Shangdong 266071, China
  • 5Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shangdong 266071, China
Received: February 15, 2023Accepted: May 3, 2023Published: May 12, 2023

Copyright: © 2023 Ren et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Hepatocellular carcinoma (HCC) is a type of liver cancer that originates from liver cells. It is one of the most common types of liver cancer and a leading cause of cancer-related death worldwide. Early detection and treatment can improve the HCC prognosis. Therefore, it is necessary to further improve HCC markers and risk stratification. PANoptosome is a cytoplasmic polymer protein complex that regulates a proinflammatory programmed cell death pathway called “PANoptosis”. The role of PANoptosis in HCC remains unclear. In this study, the molecular changes of PANoptosis related genes (PAN-RGs) in HCC were systematically evaluated. We characterized the heterogeneity of HCC by using consensus clustering to identify two distinct subtypes. The two subtypes showed different survival rate, biological function, chemotherapy drug sensitivity and immune microenvironment. After identification of PAN-RG differential expression genes (DEGs), a prognostic model was established by Cox regression analysis using minimum absolute contraction and selection operator (LASSO), and its prognostic value was verified by Cox regression analysis, Kaplan-Meier curve and receiver operating characteristic (ROC) curve. Our own specimens were also used to further validate the prognostic significance and possible clinical value of the selected targets. Subsequently, we conducted a preliminary discussion on the reasons for the influence of the model on the prognosis through TME analysis, drug resistance analysis, TMB analysis and other studies. This study provides a new idea for individualized and precise treatment of HCC.