Evidence map›Paper›PMID 41269429›Full record

ArticleMolecular biomedicine2025

A single non-coding SNP in FPGS modulates folate drug efficacy in acute lymphoblastic leukemia: data-driven exploration and experimental validation.

Wenliang Yu, Chenyang Li, Yuning Meng, Qiang Li, Mengyue Gao, Wei Tang, Yao Li, Ziyi Tan, Xiaoran Zhou, Zeyang Liu and 2 more

Abstract read
In one paragraph

Article in Molecular biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

12 authors.

Wenliang Yu *The State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Chenyang Li *The State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Yuning MengThe State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Qiang LiThe State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Mengyue GaoThe State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Wei TangThe State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Yao LiThe State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Ziyi TanThe State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Xiaoran ZhouThe State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Zeyang LiuThe State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Yun XuThe State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China.
Zichun HuaThe State Key Laboratory of Pharmaceutical Biotechnology and Department of Neurology of Nanjing Drum Tower Hospital, School of Life Sciences and The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, 210023, China. zchua@nju.edu.cn.ORCID 0000-0001-7962-0402

Funding

Changzhou Municipal Department of Science and Technology CE20246001Changzhou Municipal Department of Science and Technology CJ20235009National Natural Science Foundation of China 32250016National Natural Science Foundation of China 82130106National Natural Science Foundation of China 82303774National Natural Science Foundation of China 82404501Natural Science Foundation of Jiangsu Province BE2023695Natural Science Foundation of Jiangsu Province BK20230164Natural Science Foundation of Jiangsu Province BK20243001
6 · The paper itself

Abstract

For over 70 years, methotrexate (MTX) has remained a first-line chemotherapeutic agent for acute lymphoblastic leukemia (ALL), playing a pivotal role in maintenance therapy. Understanding the genetic determinants of MTX efficacy is therefore essential for improving clinical outcomes. However, studies on MTX efficacy-related polymorphisms remain limited, particularly for non-coding variants, for which most evidence is based on statistical associations. Here, through integrative bioinformatics analysis and systematic meta-analysis, we identified rs1544105, a non-coding SNP in the folylpoly-γ-glutamate synthetase (FPGS) gene, as closely associated with MTX efficacy. Compared with the GG genotype, the AA genotype increased disease progression risk (OR: 2.23; 95% CI: 1.16-4.30; p = 0.017) and elevated plasma MTX concentration-to-dose ratios at 24 h (WMD: 2.27; 95% CI: 1.04-4.40; p = 0.002) and 40 h (WMC: 0.02; 95% CI: 0.00-0.04; p = 0.033). Using prime editing, we generated homozygous mutant (GG) 293T cells, demonstrating that rs1544105 A > G increased FPGS expression (~ 1.5-fold, p < 0.05) and intracellular MTX retention (p < 0.05). Moreover, both cell-based and animal experiments confirmed that rs1544105 A > G markedly improved MTX efficacy. Mechanistically, dual-luciferase reporter and electrophoretic mobility shift assays revealed that rs1544105 A > G enhanced the binding affinity of the SNP-containing sequence for the transcription factor CREB1, thereby increasing FPGS transcriptional activity and ultimately augmenting MTX efficacy. Our multidimensional study, integrating data analysis with cellular, molecular, and animal experiments, highlights the remarkable regulatory role of a single SNP, rs1544105, in modulating MTX therapeutic response and provides a basis for individualized MTX-based maintenance therapy in ALL patients.

Indexed as

Folic AcidMethotrexatePeptide SynthasesPolymorphism, Single NucleotidePrecursor Cell Lymphoblastic Leukemia-LymphomaAnimalsCell Line, TumorGenotypeHumansMiceFolic Acidfolylpolyglutamate synthetaseMethotrexatePeptide SynthasesAcute lymphoblastic leukemiaFolylpoly-γ-glutamate synthetaseGenetic variantsMethotrexateNon-coding SNP

Identifiers

PMID41269429
PMCPMC12638486

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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 OpenQuestion graph.