Related Experiment Video
Updated: Jan 8, 2026

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC
Zixiang Li1, Xun Li2, Simeng Hu3
1Department of Urology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Background:
Clear cell renal cell carcinoma (ccRCC) exhibits marked heterogeneity and variable benefit from immune checkpoint inhibitors (ICIs). Post-translational modifications (PTMs) regulate immune signaling and tumor behavior, yet PTM-informed biomarkers for ccRCC remain underexplored.
Methods:
We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. Prognostic value and independence were evaluated by time-dependent ROC, Kaplan-Meier, and multivariate Cox analyses. Tumor immune context was profiled by immune infiltration scores, immune checkpoints, and TIDE to infer dysfunction/exclusion and ICI response. Genomic features (driver mutations, pathway alterations, tumor mutational burden) and an external ICI cohort (IMvigor210) were analyzed. Single-cell RNA-seq with CellChat, trajectory, and UCell assessed cell-cell communication and PTMRS distribution across immune subsets. Experimental validation included IHC and qPCR of IRF9, loss- and gain-of-function assays (Transwell, wound healing, CCK-8, colony, EdU), and molecular dynamics to explore IRF9 compound binding.
Results:
We established a five-gene PTMRS that robustly stratified prognosis in training, testing, and external cohorts and remained an independent predictor. High-PTMRS tumors displayed immunosuppressive features, including greater infiltration of Tregs/MDSCs/macrophages, higher expression of immunosuppressive checkpoints, and elevated TIDE scores with lower predicted ICI responsiveness. High PTMRS associated with alterations in oncogenic pathways and higher TMB. In IMvigor210, high PTMRS linked to inferior outcomes and non-response. Single-cell analyses showed PTMRS enrichment in Tregs and exhausted CD8+ T cells and dense immune communication networks. Among PTMRS genes, IRF9 was upregulated in ccRCC tissues and cell lines. Knockdown of IRF9 curtailed invasion, migration, and proliferation, whereas overexpression enhanced these phenotypes.
Conclusion:
PTMRS is a PTM-informed immune signature that reflects an immunosuppressive tumor microenvironment, improves prognostic stratification, and indicates ICI benefit in ccRCC. Experimental data pinpoint IRF9 as a functional driver and potential therapeutic target within this PTM-immunity axis.
Insights
A new five-gene signature (PTMRS) predicts clear cell renal cell carcinoma (ccRCC) prognosis and response to immune checkpoint inhibitors (ICIs). This PTM-informed signature identifies an immunosuppressive tumor microenvironment and highlights IRF9 as a potential therapeutic target.
Area of Science:
- Oncology
- Immunology
- Genomics
- Biomarker Discovery
Background:
- Clear cell renal cell carcinoma (ccRCC) is heterogeneous, with variable responses to immune checkpoint inhibitors (ICIs).
- Post-translational modifications (PTMs) influence immune signaling and tumor behavior, but PTM-based biomarkers for ccRCC are understudied.
Purpose of the Study:
- To develop and validate a prognostic and predictive biomarker for ccRCC based on PTM-related genes.
- To investigate the association of this biomarker with tumor immune microenvironment characteristics and ICI response.
- To identify functional roles of key genes within the biomarker signature.
Main Methods:
- Integrated analysis of immune, PTM, and differentially expressed genes from TCGA-KIRC.
- Development of a prognostic model using random survival forests (PTMRS) validated in multiple cohorts.
- Immune profiling, genomic analysis, external ICI cohort validation (IMvigor210), single-cell RNA-seq, and experimental validation of IRF9.
Main Results:
- A five-gene post-translational modification-related signature (PTMRS) robustly stratified ccRCC prognosis and predicted ICI response.
- High PTMRS tumors exhibited an immunosuppressive microenvironment, altered oncogenic pathways, and were associated with poorer outcomes in an ICI cohort.
- IRF9, a component of PTMRS, was upregulated in ccRCC and functionally promoted tumor invasion, migration, and proliferation.
Conclusions:
- The PTMRS is a PTM-informed immune signature that improves prognostic stratification and predicts ICI benefit in ccRCC.
- PTMRS reflects an immunosuppressive tumor microenvironment and identifies IRF9 as a potential therapeutic target within the PTM-immunity axis.
More Related Videos
07:47Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies
Published on: September 15, 2023
09:32Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells
Published on: February 8, 2018