Evidence map›Paper›PMID 41364265›Full record

ArticleDiscover oncology2025

Cell cycle-related biomarker lineage promotes the malignant progression of recurrent IDH wild-type glioma.

Jianbao Xu, Ying Zhang, Wenhua Fan, Wenping Ma, Zhaoshi Bao, Hongjun Wang

Abstract read
In one paragraph

Article in Discover oncology, 2025. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jianbao Xu *Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, No. 246, Xuefu Road, Nangang District, Harbin, 150001, China.
Ying Zhang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring Road West, Fengtai District, Beijing, 100070, China.
Wenhua FanDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring Road West, Fengtai District, Beijing, 100070, China.
Wenping MaDepartment of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100070, China.
Zhaoshi BaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring Road West, Fengtai District, Beijing, 100070, China. baozhaoshi@bjtth.org.
Hongjun WangDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, No. 246, Xuefu Road, Nangang District, Harbin, 150001, China. wanghongjun8000@163.com.

Funding

Beijing Postdoctoral Science Foundation 2021-ZZ-022Excellent young talents project of Capital Medical University B2101Foundation for Innovative Research Groups of the National Natural Science Foundation of China 81972337Natural Science Foundation of Beijing Municipality 7222018Natural Science Foundation of Beijing Municipality JQ20030Postdoctoral Scientific Research Developmental Fund of Heilongjiang Province of China LBH-Q20042the China Postdoctoral Science Foundation 2021M702308
6 · The paper itself

Abstract

backgroundGlioma is the most common primary brain tumor in adults, malignant progression and recurrence are inevitable. Although mechanisms of glioma development and progression have been demonstrated, the underlying driver pathway activation and the related therapeutic targets of recurrent gliomas, notably recurrent isocitrate dehydrogenase (IDH) wild-type gliomas, are rudimentary.

methodsWe analyzed the differential expression genes (DEGs) between two subgroups of 80 IDH wild-type recurrent gliomas from the Chinese Glioma Genome Atlas (CGGA). We then constructed and validated an 11-gene signature based on cell cycle-related DEGs. SPSS and R languages ​​were used for statistical analysis and graphical work.

resultsWe proposed a molecular classification based on gene expression profiles and divided them into two subtypes that differed in their biological features and prognoses. We then constructed and validated an 11-gene signature based on cell cycle-related DEGs to better explore the association between cell cycle and tumor malignant progression. Additionally, the risk score could predict the sensitivity of patients to radiotherapy or chemotherapy. Functional analysis demonstrated that genes associated with the high-risk group were involved in various aspects of glioma cell cycle regulation. Moreover, the knockdown of SYCE2 blocked cell proliferation and improved cell sensitivity to temozolomide (TMZ).

conclusionThis study developed a cell cycle-related signature for predicting the prognosis of recurrent IDH wild-type glioma, and identified a novel biomarker SYCE2, which could be used to assess the response of patients to TMZ.

Indexed as

Cell cycleIDH wild-typePrognosisRecurrent gliomaSYCE2

Identifiers

PMID41364265
PMCPMC12799892

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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.