Fei Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Fei Wang has a total of 29 co-authors. Here are the top co-authors by number of shared publications:
- Zhong Wang
Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
4 shared publications - Zhouqing Chen
Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
4 shared publications - Dengfeng Lu
Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, China (S.N., A.D., Y.R., R.S., F.W., Z.C., D.L., B.Y., J.W., X.S., Zhong Wang)
3 shared publications - Xiaoou Sun
Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Soochow University, Suzhou 215006, China; Institute of Stroke Research, Soochow University, Suzhou 215006, China
3 shared publications - Yanbo Yang
Division of Pediatric Oncology, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
3 shared publications - Haiying Teng
Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188Shizi Street, Suzhou, 215006, Jiangsu Province, China
2 shared publications
Latest Publications
- 2 February 2026
- Published by Elsevier in International Journal of Biological Macromolecules
- Vol. 347, 150651
A cancer-specific pipeline uncovers MCM3 as a driver of glioblastoma progression via suppression of the Wnt pathway
- 2 February 2026
- Published by Elsevier in International Journal of Biological Macromolecules
- Vol. 347, 150651
A cancer-specific pipeline uncovers MCM3 as a driver of glioblastoma progression via suppression of the Wnt pathway
- Open Access
- 18 April 2025
- Published by Springer Nature in Cancer Immunology, Immunotherapy
- Vol. 74 (6) , 1-18
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.
- 18 April 2025
- Published by Springer Nature in Cancer Immunology, Immunotherapy
- Vol. 74 (6) , 1-18
Open AccessIdentification 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.
- Open Access
- 9 September 2023
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 166, 107428
Integrative analysis of multi-omics data reveals a pseudouridine-related lncRNA signature for prediction of glioma prognosis and chemoradiotherapy sensitivity
- 9 September 2023
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 166, 107428
Open AccessIntegrative analysis of multi-omics data reveals a pseudouridine-related lncRNA signature for prediction of glioma prognosis and chemoradiotherapy sensitivity