Evidence map›Paper›PMID 42678580›Full record

ArticleMedical oncology (Northwood, London, England)2026

DNMT1 is associated with QDPR downregulation and chemotherapy response in lung adenocarcinoma.

Lyubo Wang, Guicai Liang, Lei Zhu, Zurui Liu, Yuxian Dong, Kun Wang, Hong Yao, Chunlei Ge, Lincan Duan

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Article in Medical oncology (Northwood, London, England), 2026. 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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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Lyubo Wang *Department of Thoracic Surgery, Pu'er People's Hospital, Pu'er, Yunnan, China.
Guicai Liang *Biological Therapy Center, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, Yunnan, China.
Lei Zhu *Biological Therapy Center, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, Yunnan, China.
Zurui Liu *Department of Thoracic Surgery II, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, Yunnan, China.
Yuxian DongCardiovascular and Vascular Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Kun WangDepartment of Thoracic Surgery, The First People's Hospital of Anning, Affiliated to Kunming University of Science and Technology, Kunming, Yunnan, China.
Hong YaoBiological Therapy Center, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, Yunnan, China.
Chunlei GeBiological Therapy Center, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, Yunnan, China. gechunlei1006@163.com.
Lincan DuanDepartment of Thoracic Surgery, Pu'er People's Hospital, Pu'er, Yunnan, China. duanmumuhuosan@163.com.

Funding

Kunming Medical University Graduate Innovation Fund 2025S267National Natural Science Foundation of China 82160508Science Research Foundation of Yunnan Education Bureau 2025J0186Yunnan Applied Basic Research Projects YNWRMY-2019-067
6 · The paper itself

Abstract

In lung adenocarcinoma (LUAD), DNA methylation-mediated gene silencing may contribute to tumor initiation, progression, and heterogeneity in treatment response. However, the key methyltransferases involved and their therapeutic potential have not been systematically characterized. This study aimed to address three major questions: which methylation-associated gene silencing events occur in LUAD, which upstream methyltransferase predominantly drives these events, and whether targeted inhibition of this enzyme can mitigate drug-resistant phenotypes and enhance chemosensitivity. Differential expression analysis was initially performed using the GSE75037 dataset to screen candidate genes. Expression quantitative trait locus (eQTL) and protein quantitative trait locus (pQTL) data were then integrated, and key candidate genes were prioritized according to the concordance in the directions of genetic effects. Subsequently, mediation Mendelian randomization analysis was conducted to determine whether the effect of locus-specific methylation on LUAD was mediated by QDPR expression, thereby providing genetic causal evidence that methylation contributes to transcriptional repression. In addition, the associations between DNA methylation-related enzymes and QDPR expression were analyzed in the GSE33532, GSE43458, and GSE75037 datasets, followed by cross-dataset validation to identify potential key upstream regulators. Finally, cell-based experiments were performed to verify the functional effects of DNMT1 inhibition. Changes in QDPR expression were assessed by quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting, and the potential chemosensitizing effect of DNMT1 inhibition in combination with platinum-based chemotherapy was further evaluated in patient-derived organoids. This study provided genetic causal evidence that locus-specific methylation influences LUAD risk, with part of this effect mediated by QDPR expression. Analyses across multiple independent datasets consistently suggested that DNMT1 may act as a key upstream epigenetic regulator contributing to the reduced expression of QDPR. Functional experiments demonstrated that DNMT1 inhibition increased QDPR expression and suppressed the proliferation and migration of LUAD cells. Drug sensitivity assays using patient-derived organoids further showed that DNMT1 inhibition exerted a significant chemosensitizing effect in the platinum low-sensitivity group. This study suggests that DNMT1 may contribute to the reduced expression of QDPR and related malignant phenotypes through epigenetic regulation. Functional and drug sensitivity experiments further support the potential of DNMT1 as a therapeutic target for improving the response to platinum-based chemotherapy in a subset of patients with LUAD. These findings provide a potential therapeutic target and offer mechanistic insights into treatment response heterogeneity and chemoresistance in LUAD.

Indexed as

Adenocarcinoma of LungDNA (Cytosine-5-)-Methyltransferase 1Lung NeoplasmsQuantitative Trait LociCell Line, TumorDNA MethylationDown-RegulationDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHumansDNA (Cytosine-5-)-Methyltransferase 1DNMT1 protein, humanChemotherapeutic drug sensitivityDNMT1Lung adenocarcinomapatient-derived organoids

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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.