Evidence map›Paper›PMID 32810393›Full record

ArticleCancer medicine2020

TERT mutations correlate with higher TMB value and unique tumor microenvironment and may be a potential biomarker for anti-CTLA4 treatment.

Huahua Li, Jia Li, Chenyue Zhang, Chenxing Zhang, Haiyong Wang

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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  19. Beyond the WHO classification of meningioma: using molecular diagnostics to guide management.Advances in clinical neuroscience & rehabilitation : ACNR · 2023
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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

5 authors at 4 institutions in 1 country.

Huahua LiDepartment of Integrated Chinese and Western Medicine, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China.
Jia LiDepartment of Integrated Chinese and Western Medicine, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China.ORCID 0000-0002-2941-128X
Chenyue ZhangDepartment of Integrated Therapy, Fudan University Shanghai Cancer Center, Shanghai Medical College, Shanghai, China.
Chenxing ZhangDepartment of Nephrology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Haiyong WangDepartment of Internal Medicine-Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.ORCID 0000-0002-0658-4479
Zhengzhou University · CNShandong Tumor Hospital · CNShanghai Children's Medical Center · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have recently changed therapeutic paradigms for patients across multiple cancer types. However, current biomarkers cannot accurately predict responses to ICIs. Telomerase reverse transcriptase (TERT) mutations lead to an aberrant upregulation of TERT expression, and ultimately allow telomere maintenance, thus supporting immortalization of cancer cells. This study aimed to investigate whether the TERT mutation is a potential predictor of ICI treatment across all cancer types. TERT mutations positively correlated with a higher tumor mutational burden (TMB) value, neoantigen load, and tumor purity. Lymphocyte infiltration, macrophage regulation, interferon-gamma (IFN-γ) response, and transforming growth factor-β (TGF-β) response which was representative immune-expression signatures, all had higher signature scores in the TERT mutation group. Activated CD4 T cell, naïve B cell, activated dendritic cell, M0 macrophage, M1 macrophage, neutrophil, resting NK cell, and plasma cells all had relatively higher immune scores in the TERT mutation group, whereas Th series cells, memory B cell, resting mast cells, monocytes, and activated NK cells had lower immune scores. Notably, in the subgroup analysis of monotherapy and combination ICI treatment, only in the anti-cytotoxic-T-lymphocyte-associated antigen 4 (anti-CTLA4) group, patients with TERT mutations had a better prognosis, especially for melanoma. Therefore, TERT mutations were closely related to a higher TMB value and unique tumor microenvironment, which may be the reason that TERT mutations may be a potential biomarker for anti-CTLA4 treatment.

Indexed as

Immunogenetic PhenomenaMutationTumor MicroenvironmentAlgorithmsBiomarkers, TumorCTLA-4 AntigenDatabases, Nucleic AcidGene Expression ProfilingGenetic Predisposition to DiseaseHumansImmune Checkpoint InhibitorsNeoplasmsPhenotypePrognosisSignal TransductionTelomeraseBiomarkers, TumorCTLA-4 AntigenCTLA4 protein, humanImmune Checkpoint InhibitorsTelomeraseTERT protein, humananti-CTLA4 treatmentimmune cells infiltrationmelanomaTERT mutationTMB

Identifiers

PMID32810393
PMCPMC7541140
OpenAlexW3069369758

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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.