ArticleFrontiers in immunology2022
Identification and validation of SNHG gene signature to predict malignant behaviors and therapeutic responses in glioblastoma.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysis.BMC gastroenterology · 2025Pooled it
- Potential correlation between high SNHG expression and poor pancreatic cancer prognosis: evidence from systematic reviews and meta-analyses.Cancer cell international · 2026Review
- Small Nucleolar RNAs (snoRNAs) in Cancer: From Biogenesis to Clinical Potential.OncoTargets and therapy · 2026Review
- Function and Mechanism of Small Nucleolar RNAs (snoRNAs) and Their Host Genes (SNHGs) in Malignant Tumors.Biomolecules · 2025Review
- Progress of long-chain noncoding small nucleolar RNA host genes in thyroid cancer.Frontiers in oncology · 2025Review
- Understanding the immunosuppressive microenvironment of glioma: mechanistic insights and clinical perspectives.Journal of hematology & oncology · 2024Review
- Systematic analysis reveals a pan-cancer SNHG family signature predicting prognosis and immunotherapy response.iScience · 2023Article
- SnoRNA and lncSNHG: Advances of nucleolar small RNA host gene transcripts in anti-tumor immunity.Frontiers in immunology · 2023Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma (GBM) patients exhibit high mortality and recurrence rates despite multimodal therapy. Small nucleolar RNA host genes (SNHGs) are a group of long noncoding RNAs that perform a wide range of biological functions. We aimed to reveal the role of SNHGs in GBM subtypes, cell infiltration into the tumor microenvironment (TME), and stemness characteristics. SNHG interaction patterns were determined based on 25 SNHGs and systematically correlated with GBM subtypes, TME and stemness characteristics. The SNHG interaction score (SNHGscore) model was generated to quantify SNHG interaction patterns. The high SNHGscore group was characterized by a poor prognosis, the mesenchymal (MES) subtype, the infiltration of suppressive immune cells and a differentiated phenotype. Further analysis indicated that high SNHGscore was associated with a weaker response to anti-PD-1/L1 immunotherapy. Tumor cells with high SNHG scores were more sensitive to drugs targeting the EGFR and ERK-MAPK signaling pathways. Finally, we assessed SNHG interaction patterns in multiple cancers to verify their universality. This is a novel and comprehensive study that provides targeted therapeutic strategies based on SNHG interactions. Our work highlights the crosstalk and potential clinical utility of SNHG interactions in cancer therapy.
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Registered trials
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.