» Articles » PMID: 39342037

Combination of Bulk RNA and Single-cell Sequencing Unveils PANoptosis-related Immunological Ecology Hallmarks and Classification for Clinical Decision-making in Hepatocellular Carcinoma

Overview
Journal Sci Rep
Specialty Science
Date 2024 Sep 28
PMID 39342037
Authors
Affiliations
Soon will be listed here.
Abstract

PANoptosis is engaged in the program of immune response and carcinogenicity. Nonetheless, the actual impacts of PANoptosis on clinical management and oncology immunity in hepatocellular carcinoma (HCC) are not fully grasped. RNA-seq-derived computations were conducted to sort out the molecular subtypes and elucidate the disparities based on PANoptosis molecules. Single-cell sequencing (scRNA-seq) tools including Cytotrace and Addmodulescore were extracted to characterize diversification potency and quantify the PANoptosis motion. Transcriptional factors were inferred by the pySCENIC package and Cellchat program scrutinized the intercellular exchange across cell compartments. The PANoptosis score system originated by incorporating 10 machine learning algorithms and 101 compositions to project clinical results and deteriorate tendencies. Circulatory PANoptosis-associated protein HSP90AA1 was determined by enzyme-linked immunosorbent assay (ELISA). HCC individuals could be categorized into low- and high-PANoptosis groups with diverse biogenic and pharmacotherapy heterogeneity. Individuals in the elevated PANoptosis subtype were characterized as "hot tumor" conveying the increased presence of immunogenicity while reiterating an explicit negative connection with tumor stemness. Compared to immune and stromal cells, cancerous cells showcased decreased PANoptosis and heightened PANoptosis malignant cell subgroups might be tied to a substantial level of genomic expression of SREBF2, JUND, GATAD1, ZBTB20, SMAD5 and implied a more aggressive potential. The PANoptosis index, derived from machine learning, has been established to provide succinct frameworks for predicting outcomes and clarified the noteworthy utility of conventional regimens, as the differentiated power of HCC occurred together with vascular invasion and hepatocellular adenoma (HCA). The experiment confirmed that the circulating HSP90AA1 was aberrantly augmented in HCC patients, thus demonstrating its potential as a discriminatory biomarker. We systematically deciphered the molecular and immune ecosystem traits of PANoptosis in bulk and scRNA-seq degrees, which may deliver advantageous insights for customized treatment, awareness of the pathological process and prognosis scrutiny for HCC patients.

References
1.
Darvin P, Toor S, Sasidharan Nair V, Elkord E . Immune checkpoint inhibitors: recent progress and potential biomarkers. Exp Mol Med. 2018; 50(12):1-11. PMC: 6292890. DOI: 10.1038/s12276-018-0191-1. View

2.
Huang J, Jiang S, Liang L, He H, Liu Y, Cong L . Analysis of PANoptosis-Related LncRNA-miRNA-mRNA Network Reveals LncRNA SNHG7 Involved in Chemo-Resistance in Colon Adenocarcinoma. Front Oncol. 2022; 12:888105. PMC: 9133343. DOI: 10.3389/fonc.2022.888105. View

3.
Liu Y, Sun Z . Turning cold tumors into hot tumors by improving T-cell infiltration. Theranostics. 2021; 11(11):5365-5386. PMC: 8039952. DOI: 10.7150/thno.58390. View

4.
Qiu L, Ning H, Zhu Y, Yang Q, Liu L, Luo L . Feedback regulation of antioxidant transcription factor NFE2L1 and immunostimulatory factor 41BBL mediates the crosstalk between oxidative stress and tumor immunity. Mol Immunol. 2021; 141:265-272. DOI: 10.1016/j.molimm.2021.12.001. View

5.
Racle J, de Jonge K, Baumgaertner P, Speiser D, Gfeller D . Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data. Elife. 2017; 6. PMC: 5718706. DOI: 10.7554/eLife.26476. View