ArticleBioscience reports2022
DNAJC10 correlates with tumor immune characteristics and predicts the prognosis of glioma patients.
Article in Bioscience reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Endoplasmic reticulum-resident protein DNAJC10 inhibits glioblastoma metastasis by suppressing XBP-1s-driven EGFR transcription.Molecular biomedicine · 2025Article
- Heat shock proteins related signature characterizes immune status and predicts prognosis of gliomas.Scientific reports · 2025Article
- The role of HSP40 in cancer: Recent advances.Histology and histopathology · 2024Review
- MCM8 promotes lung cancer progression through upregulating DNAJC10.Journal of cellular and molecular medicine · 2024Article
- Leveraging a disulfidptosis‑related lncRNAs signature for predicting the prognosis and immunotherapy of glioma.Cancer cell international · 2023Article
- A novel signature of cuproptosis-related lncRNAs predicts prognosis in glioma: Evidence from bioinformatic analysis and experiments.Frontiers in pharmacology · 2023Article
- Targeting Heat Shock Proteins in Malignant Brain Tumors: From Basic Research to Clinical Trials.Cancers · 2022Review
- The Value of H2BC12 for Predicting Poor Survival Outcomes in Patients With WHO Grade II and III Gliomas.Frontiers in molecular biosciences · 2022Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe role of DnaJ heat shock protein family (Hsp40) member C10 (DNAJC10) in cancers has been reported but its function in glioma is not clear. We reveal the prognostic role and underlying functions of DNAJC10 in glioma in the present study.
methodsReverse Transcription and Quantitative Polymerase Chain Reaction (RT-qPCR) was used to quantify the relative DNAJC10 messenger RNA (mRNA) expression of clinical samples. Protein expressions of clinical samples were tested by Western blot. The overall survival (OS) of glioma patients with different DNAJC10 expression was compared by Kaplan-Meier method (two-sided log-rank test). Single-sample gene set enrichment analysis (ssGSEA) was used to estimate the immune cell infiltrations and immune-related function levels. The independent prognostic role of DNAJC10 was determined by univariate and multivariate Cox regression analyses. The DNAJC10-based nomogram model was established using multivariate Cox regression by R package 'rms'.
resultsHigher DNAJC10 is observed in gliomas and it is up-regulated in higher grade, isocitrate dehydrogenase (IDH)-wild, 1p/19q non-codeletion, O(6)-methylguanine-DNA methyltransferase (MGMT) unmethylated gliomas. Gliomas with higher DNAJC10 expression present poorer prognosis compared with low-DNAJC10 gliomas. The predictive accuracy of 1/3/5-OS of DNAJC10 is found to be stable and robust using time-dependent ROC model. Enrichment analysis recognized that T-cell activation and T-cell receptor signaling were enriched in higher DNAJC10 gliomas. Immune/stromal cell infiltrations, tumor mutation burden (TMB), copy number alteration (CNA) burden and immune checkpoint genes (ICPGs) were also positively correlated with DNAJC10 expression in gliomas. DNAJ10-based nomogram model was established and showed strong prognosis-predictive ability.
conclusionHigher DNAJC10 expression correlates with poor prognosis of glioma and it was a potential prognostic biomarker for glioma.
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