Identification of SURF4 and RALGAPA1 as promising therapeutic targets in glioblastoma and pan-cancer through integrative multi-omics, CRISPR-Cas9 screening and prognostic meta-analysis

Glioblastoma (GBM) is the most aggressive and malignant type of primary brain tumor, with a median survival time of less than two years and a uniformly poor prognosis, despite multimodal therapeutic approaches, which highlights an urgent need for novel therapeutic targets. In this study, by integrative multi-omics analysis from CPTAC database, DepMap database and seven independent GBM cohorts, four hub genes (CD44, SURF4, IGSF3 and RALGAPA1) were identified as essential genes regulated by cancer driver genes with robust prognostic value. GBM multi-omics data from public and in-house cohorts validated that CD44 and SURF4 might be synthetic lethal partners of loss-of-function tumor suppressor genes. Analysis for immune-related pathway activity revealed complex regulation relationships of the four hub genes in tumor microenvironment (TME). Further investigation on SURF4 in pathway activity, immune therapy response and drug sensitivity proposed that SURF4 emerged as a promising therapeutic target for GBM, even for pan-cancer. Pan-cancer multi-omics exploration suggested that RALGAPA1 may be a tumor suppressor gene. By screening the first-generation and second-generation DepMap database, four genes (CCDC106, GAL3ST1, GDI2 and HSF1) might be considered as synthetic targets after mutation of RALGAPA1 as a tumor suppressor gene.

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Publication Details

Journal
Cancer Immunology Immunotherapy
Published
2025-04-18
DOI
https://doi.org/10.1007/s00262-025-04034-y
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of SURF4 and RALGAPA1 as promising therapeutic targets in glioblastoma and pan-cancer through integrative multi-omics, CRISPR-Cas9 screening and prognostic meta-analysis

Dengfeng Lu, Run Huang, Fei Wang, Juyi Zhang et al.
1 links
Cancer Immunology Immunotherapy
Cancer, Hypoxia, and Metabolism
article

Identification of SURF4 and RALGAPA1 as promising therapeutic targets in glioblastoma and pan-cancer through integrative multi-omics, CRISPR-Cas9 screening and prognostic meta-analysis

Dengfeng Lu, Run Huang, Fei Wang, Juyi Zhang, Zhouqing Chen, Hanhan Dang, Yuxuan Chen, Zhong Lin Wang, Xiaoou Sun, Meirong Liu, Yanbo Yang
article en

Abstract

Glioblastoma (GBM) is the most aggressive and malignant type of primary brain tumor, with a median survival time of less than two years and a uniformly poor prognosis, despite multimodal therapeutic approaches, which highlights an urgent need for novel therapeutic targets. In this study, by integrative multi-omics analysis from CPTAC database, DepMap database and seven independent GBM cohorts, four hub genes (CD44, SURF4, IGSF3 and RALGAPA1) were identified as essential genes regulated by cancer driver genes with robust prognostic value. GBM multi-omics data from public and in-house cohorts validated that CD44 and SURF4 might be synthetic lethal partners of loss-of-function tumor suppressor genes. Analysis for immune-related pathway activity revealed complex regulation relationships of the four hub genes in tumor microenvironment (TME). Further investigation on SURF4 in pathway activity, immune therapy response and drug sensitivity proposed that SURF4 emerged as a promising therapeutic target for GBM, even for pan-cancer. Pan-cancer multi-omics exploration suggested that RALGAPA1 may be a tumor suppressor gene. By screening the first-generation and second-generation DepMap database, four genes (CCDC106, GAL3ST1, GDI2 and HSF1) might be considered as synthetic targets after mutation of RALGAPA1 as a tumor suppressor gene.

Cancer Immunology ImmunotherapyVol. 74(6)
Johns Hopkins University (US), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Johns Hopkins Medicine (US), China-Japan Friendship Hospital (CN), Peking Union Medical College Hospital (CN), Soochow University (CN), First Affiliated Hospital of Soochow University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 91%
Cancer, Hypoxia, and Metabolism
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