Evidence mapPaperPMID 40646090Full record

ArticleScientific reports2025

Development, validation, and updating of prognostic models for m7G-associated genes from TAMs in lower-grade gliomas.

Lei Ao, Huijun Li, Ke Zhang, Mengjie Li, Huan Liu, Zaixiang Tang

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lei Ao *Office of Scientific Research, Zunyi Medical and Pharmaceutical College, Zunyi, 563006, People's Republic of China.
Huijun Li *Department of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, People's Republic of China.
Ke ZhangDepartment of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, People's Republic of China.
Mengjie LiDepartment of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, People's Republic of China.
Huan LiuDepartment of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, People's Republic of China.
Zaixiang TangDepartment of Biostatistics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, People's Republic of China. tangzx@suda.edu.cn.

Funding

National Natural Science Foundation of China (CN)(82373688)the Academic Youth Project Foundation of the Zunyi Bureau of Science and Big Data Technology ZSKHZ2023463the Health Commission Sci-Tech Program of Guizhou Province gzwkj2025-225the Innovation Team Program of the Zunyi Bureau of Science and Big Data Technology ZSK202205the Priority Academic Program Development of Jiangsu Higher Education Institutions PAPDthe Priority Academic Program Development of Jiangsu Higher Education Institutions at Soochow University from the National Natural Science Foundation of China 81773541the State Key Laboratory of Radiation Medicine and Protection GZK1201919
6 · The paper itself

Abstract

As the crucial component of the glioma microenvironment, tumor-associated macrophages (TAMs) significantly contribute to the immunosuppressive microenvironment and strongly influence glioma progression via various signaling molecules, simultaneously providing new insight into therapeutic strategies. Studies are aiming at developing prognostic models using N7-methylguanosine (m7G)-related genes in gliomas, however, models with good predictive performance for lower-grade gliomas have yet to be developed. Based on genes with m7G variants and clinical information, two prediction models have been derived to predict the probability of survival for patients with lower-grade gliomas in TCGA. The models were externally validated using independent datasets. Based on CGGA information, updated models that were created matched the features of the local population. Two models were derived, validated and updated. Model 1, which was derived on the basis of mRNA, only contains five genes: CD37, EIF3A, CALU, COLGALT1, and DDX3X. Model 2 included six variables: grade, age, gender, IDH mutation status, 1p/19q codeletion status and prognostic index of model 1. The C-statistic of revised model 1 was 0.764 (95% CI 0.730-0.798) in the revised set and 0.700 (95% CI 0.658-0.742) in the test set. Regarding internal validation, C-statistic for model 2 with 1000 bootstrap replications was 0.848, while in external validation, the C-statistic was 0.752 (95% CI 0.714-0.788). Both models exhibited satisfactory calibration after updating in external validation. The models' web calculator is provided at https://lhj0520.shinyapps.io/M7G-LGG_model/ .

Indexed as

Brain NeoplasmsGliomaMacrophagesBiomarkers, TumorFemaleHumansMaleMiddle AgedMutationNeoplasm GradingPrognosisTumor MicroenvironmentBiomarkers, TumorLower-grade gliomasm7GModel updatingPrognostic modelSingle-cell RNA-sequencingTAMs

Identifiers

PMID40646090
PMCPMC12254279

What Socratic holds

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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 Socratic graph.