Evidence map›Paper›PMID 38499392›Full record

ArticleAging2024

Predicting the prognosis of glioma patients with TERT promoter mutations and guiding the specific immune profile of immune checkpoint blockade therapy.

Wenpeng Cao, Jinzhi Lan, Chujiao Hu, Jinping Kong, Limin Xiang, Zhixue Zhang, Yating Sun, Zhirui Zeng, Shan Lei

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

9 authors at 2 institutions in 1 country.

Wenpeng CaoDepartment of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou 550025, China.
Jinzhi LanCenter for Tissue Engineering and Stem Cell Research, Guizhou Medical University, Guiyang, Guizhou 550004, China.
Chujiao HuDepartment of Physiology, School of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou 550025, China.
Jinping KongDepartment of Physiology, School of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou 550025, China.
Limin XiangDepartment of Physiology, School of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou 550025, China.
Zhixue ZhangDepartment of Physiology, School of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou 550025, China.
Yating SunDepartment of Physiology, School of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou 550025, China.
Zhirui ZengDepartment of Physiology, School of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou 550025, China.
Shan LeiDepartment of Physiology, School of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou 550025, China.
Guiyang Medical University · CNAffiliated Hospital of Guizhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The telomerase reverse transcriptase promoter (TERTp) is frequently mutated in gliomas. This study sought to identify immune biomarkers of gliomas with TERTp mutations. Data from TCGA were used to identify and validate survival-associated gene signatures, and immune and stromal scores were calculated using the ESTIMATE algorithm. High stromal or immune scores in patients with TERTp-mutant gliomas correlated with shorter overall survival compared to cases with low stromal or immune scores. Among TERTp-mutant gliomas with both high immune and high stromal scores, 213 commonly shared DEGs were identified. Among 71 interacting DEGs representing candidate hub genes in a PPI network, HOXC6, WT1, CD70, and OTP showed significant ability in establishing subgroups of high- and low-risk patients. A risk model based on these 4 genes showed strong prognostic potential for gliomas with mutated TERTp, but was inapplicable for TERTp-wild-type gliomas. TERTp-mutant gliomas with high-risk scores displayed a greater percentage of naïve B cells, plasma cells, naïve CD4 T cells, and activated mast cells than low-risk score gliomas. TIDE analysis indicated that immune checkpoint blockade (ICB) therapy may benefit glioma patients with TERTp mutations. The present risk model can help predict prognosis of glioma patients with TERTp mutations and aid ICB treatment options.

Indexed as

Brain NeoplasmsGliomaTelomeraseHumansImmune Checkpoint InhibitorsMutationPrognosisImmune Checkpoint InhibitorsTelomeraseTERT protein, humangliomaimmune checkpoint blockade therapyimmunityrisk modelTERT promoter mutation

Identifiers

PMID38499392
PMCPMC11006486
OpenAlexW4392912144

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.