Evidence map›Paper›PMID 31907037›Full record

ArticleCell communication and signaling : CCS2020

Comprehensive profiling identifies a novel signature with robust predictive value and reveals the potential drug resistance mechanism in glioma.

Fan Zeng, Kuanyu Wang, Xiu Liu, Zheng Zhao

Abstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Unveiling the mechanisms and challenges of cancer drug resistance.Cell communication and signaling : CCS · 2024
    Review
  7. ROR1-AS1: A Meaningful Long Noncoding RNA in Oncogenesis.Mini reviews in medicinal chemistry · 2024
    Review
  8. Subtyping or not subtyping-Translational cancer research · 2023
    Article
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  10. A novelFrontiers in bioengineering and biotechnology · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Fan ZengDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, No.119 South 4th Ring Road West, Fengtai District, Beijing, 100070, China.
Kuanyu WangDepartment of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Xiu LiuDepartment of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Zheng ZhaoDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, No.119 South 4th Ring Road West, Fengtai District, Beijing, 100070, China. zhaozheng0503@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGliomas are the most common and malignant brain tumors. The standard therapy is surgery combined with radiotherapy, chemotherapy, and/or other comprehensive methods. However, the emergence of chemoresistance is the main obstacle in treatment and its mechanism is still unclear.

methodsWe firstly developed a multi-gene signature by integrated analysis of cancer stem cell and drug resistance related genes. The Chinese Glioma Genome Atlas (CGGA, 325 samples) and The Cancer Genome Atlas (TCGA, 699 samples) datasets were then employed to verify the efficacy of the risk signature and investigate its significance in glioma prognosis. GraphPad Prism, SPSS and R language were used for statistical analysis and graphical work.

resultsThis signature could distinguish the prognosis of patients, and patients with high risk score exhibited short survival time. The Cox regression and Nomogram model indicated the independent prognostic performance and high prognostic accuracy of the signature for survival. Combined with a well-known chemotherapy impact factor-MGMT promoter methylation status, this risk signature could further subdivide patients with distinct survival. Functional analysis of associated genes revealed signature-related biological process of cell proliferation, immune response and cell stemness. These mechanisms were confirmed in patient samples.

conclusionsThe signature was an independent and powerful prognostic biomarker in glioma, which would improve risk stratification and provide a more accurate assessment of personalized treatment. Additional file 8 Video abstract.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticBrain NeoplasmsDrug Resistance, NeoplasmGene OntologyGliomaHumansModels, BiologicalMultivariate AnalysisNomogramsPredictive Value of TestsPrognosisRisk FactorsSignal TransductionSurvival AnalysisDrug resistanceGene signatureGliomaPrognosisTumor stemness

Identifiers

PMID31907037
PMCPMC6943920

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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.