1. Unveiling major histocompatibility complex-mediated pan-cancer immune features by integrated single-cell and bulk RNA sequencing.
- Author
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Feng HR, Shen XN, Zhu XM, Zhong WT, Zhu DX, Zhao J, Chen YJ, Shen F, Liu K, and Liang L
- Subjects
- Humans, Sequence Analysis, RNA methods, Immune Checkpoint Inhibitors therapeutic use, Immune Checkpoint Inhibitors pharmacology, Biomarkers, Tumor genetics, Biomarkers, Tumor immunology, Gene Expression Profiling methods, Gene Expression Regulation, Neoplastic, Tumor Microenvironment immunology, Tumor Microenvironment genetics, RNA-Seq, Neoplasms genetics, Neoplasms immunology, Single-Cell Analysis methods, Major Histocompatibility Complex genetics, Major Histocompatibility Complex immunology
- Abstract
Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, yet persistent challenges such as low response rate and significant heterogeneity necessitate attention. The pivotal role of the major histocompatibility complex (MHC) in ICI efficacy, its intricate impacts and potentials as a prognostic marker, warrants comprehensive exploration. This study integrates single-cell RNA sequencing (scRNA-seq), bulk RNA-seq, and spatial transcriptomic analyses to unveil pan-cancer immune characteristics governed by the MHC transcriptional feature (MHC.sig). Developed through scRNA-seq analysis of 663,760 cells across diverse cohorts and validated in 30 solid cancer types, the MHC.sig demonstrates a robust correlation between immune-related genes and infiltrating immune cells, highlighting its potential as a universal pan-cancer marker for anti-tumor immunity. Screening the MHC.sig for therapeutic targets using CRISPR data identifies potential genes for immune therapy synergy and validates its predictive efficacy for ICIs responsiveness across diverse datasets and cancer types. Finally, analysis of cellular communication patterns reveals interactions between C1QC
+ macrophages and malignant cells, providing insights into potential therapeutic agents and their sensitivity characteristics. This comprehensive analysis positions the MHC.sig as a promising marker for predicting immune therapy outcomes and guiding combinatorial therapeutic strategies., Competing Interests: Declaration of competing interest All authors declare no potential conflicts of interest., (Copyright © 2024 Elsevier B.V. All rights reserved.)- Published
- 2024
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