Evidence map›Paper›PMID 36070228›Full record

ArticleCNS neuroscience & therapeutics2022

Glioma stem cell signature predicts the prognosis and the response to tumor treating fields treatment.

Bo Chen, Xiaoxi Zhou, Liting Yang, Hongshu Zhou, Ming Meng, Hao Wu, Zhixiong Liu, Liyang Zhang, Chuntao Li

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 32 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Bo ChenDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Xiaoxi ZhouDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Liting YangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Hongshu ZhouDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Ming MengDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Hao WuDepartment of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, China.
Zhixiong LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-0288-6306
Liyang ZhangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-4054-1667
Chuntao LiDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlioma stem cells (GSCs) play an important role in glioma recurrence and chemo-radiotherapy (CRT) resistance. Currently, there is a lack of efficient treatment approaches targeting GSCs. This study aimed to explore the potential personalized treatment of patients with GSC-enriched gliomas.

methodsSingle-cell RNA sequencing (scRNA-seq) was used to identify the GSC-related genes. Then, machine learning methods were applied for clustering and validation. The least absolute shrinkage and selection operator (LASSO) and COX regression were used to construct the risk scores. Survival analysis was performed. Additionally, the incidence of chemo-radiotherapy resistance, immunotherapy status, and tumor treating field (TTF) therapy response were evaluated in high- and low-risk scores groups.

resultsTwo GSC clusters exhibited significantly different stemness indices, immune microenvironments, and genomic alterations. Based on GSC clusters, 11-gene GSC risk scores were constructed, which exhibited a high predictive value for prognosis. In terms of therapy, patients with high GSC risk scores had a higher risk of resistance to chemotherapy. TTF therapy can comprehensively inhibit the malignant biological characteristics of the high GSC-risk-score gliomas.

conclusionOur study constructed a GSC signature consisting of 11 GSC-specific genes and identified its prognostic value in gliomas. TTF is a promising therapeutic approach for patients with GSC-enriched glioma.

Indexed as

Brain NeoplasmsGliomaHumansNeoplastic Stem CellsPrognosisSurvival AnalysisTumor Microenvironmentglioma stem cellmachine learningprognostic modeltumor-treating field

Identifiers

PMID36070228
PMCPMC9627385
OpenAlexW4294920938

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.