Evidence map›Paper›PMID 42008052›Full record

ArticleApplied biochemistry and biotechnology2026

Comprehensive Analysis of scRNA-Seq and RNA-Seq Revealed the Role of Programmed Cell Death-Related Genes in the Prognosis of Glioblastoma Patients.

Yifan Tang, Puyuan Zhao, Yang Gao, Hantao Yang, Jinglong Huang, Liangliang Yang

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Article in Applied biochemistry and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yifan Tang *Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Puyuan Zhao *Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yang GaoDepartment of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Hantao YangDepartment of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Jinglong HuangDepartment of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Liangliang YangDepartment of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China. llyang09@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most aggressive type of glioma. Due to the high heterogeneity of GBM, there is an urgent need to discover more prognostic and treatment-related markers. Programmed cell death (PCD) plays a crucial role in immune regulation and antitumor. In this paper, we explored the role of various programmed cell death-related genes (PDRGs) in developing GBM by combining scRNA-seq and RNA-seq data. Quality control, clustering, annotation, and communication analysis of scRNA-seq data identified multiple key PDRGs. Differential GBM subtypes were determined using consensus clustering based on the intersection of RNA-seq differentially expressed genes (DEGs) and PDRGs. A prognostic model was developed based on LASSO and Cox regression analysis, verifying that risk groups had significant differences in immune landscape and prognosis. The GBM subtypes identified based on PDRGs, the constructed prognostic model, and multiple prognostic genes discovered in this paper provide essential clues for exploring the role of PCD and the immune microenvironment in GBM treatment and prognosis.

Indexed as

ApoptosisBrain NeoplasmsGene Expression Regulation, NeoplasticGlioblastomaRNA-SeqRNA, Small CytoplasmicSequence Analysis, RNAHumansPrognosisSingle-Cell Gene Expression AnalysisRNA, Small CytoplasmicGlioblastomaPrognostic markersProgrammed cell deathRNA-seqscRNA-seq

Identifiers

PMID42008052

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.