Evidence map›Paper›PMID 42289623›Full record

ArticleDiscover oncology2026

A cross platform m7G risk score based on five gene pairs stratifies prognosis and stemness in acute myeloid leukemia.

Ruolin Guo, Zeyu Deng

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ruolin GuoHunan Prevention and Treatment Institute for Occupational Diseases, Changsha, Hunan, P. R. China.
Zeyu DengDepartment of Hematology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P. R. China. zeyu.deng@foxmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AML exhibits marked heterogeneity in genetics, stemness, and treatment response. We profiled m7G regulator expression across multi-cohort AML transcriptomes and identified two m7G-related phenotypes with distinct survival and enrichment of adverse cytogenetics and primitive hierarchy. We then developed a cross-platform five-gene-pair m7G risk score using LASSO-Cox modeling. The score robustly stratified overall survival in TCGA and external cohorts (BEAT AML and GSE37642) and remained an independent prognostic factor. High risk was associated with increased leukemic stemness, including enrichment of HSC/MPP-like states in single-cell AML and higher scores in LSC+ fractions. The score also discriminated induction response (AUC 0.838) and increased in paired diagnosis-relapse samples, supporting relevance to chemoresistance. Drug sensitivity integration further nominated candidate compounds with preferential activity in high-risk AML. These findings connect m7G-related transcriptional programs to AML risk and provide a practical tool for refined prognostication and therapeutic prioritization.

Indexed as

AMLBioinformaticsLSCM7G

Identifiers

PMID42289623
PMCPMC13490333

What Socratic holds

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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 Socratic graph.