Evidence map›Paper›PMID 42761267›Full record

ArticleOncology letters2026

Integrated bioinformatics and feature selection-based discovery of ADP-ribosylation-associated biomarkers in non-small cell lung cancer.

Jie He, Qingtao Zhao, Hongzhen Zhao, Hua Zhang, Zhonghui Hu, Lingxin Kong, Zengming Wang, Jianghong Yan, Shuo Yang, Shicheng Liu

Abstract read
In one paragraph

Article in Oncology letters, 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

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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

10 authors.

Jie HeDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei 050057, P.R. China.
Qingtao ZhaoDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei 050057, P.R. China.
Hongzhen ZhaoDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei 050057, P.R. China.
Hua ZhangDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei 050057, P.R. China.
Zhonghui HuDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei 050057, P.R. China.
Lingxin KongDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei 050057, P.R. China.
Zengming WangDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei 050057, P.R. China.
Jianghong YanDepartment of Pediatric Research, Children's Hospital of Hebei Province, Shijiazhuang, Hebei 050000, P.R. China.
Shuo YangDepartment of Pediatric Research, Children's Hospital of Hebei Province, Shijiazhuang, Hebei 050000, P.R. China.
Shicheng LiuDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei 050057, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) remains a significant global health concern. ADP-ribosylation, a key post-translational modification, may influence the tumor immune microenvironment; however, the genes transcriptionally linked to ADP-ribosylation pathway activity in NSCLC are poorly understood. In the present study, transcriptomic data from the Gene Expression Omnibus database were analyzed to identify differentially expressed genes (DEGs) associated with ADP-ribosylation via differential expression analysis. Weighted gene co-expression network analysis was subsequently applied to refine these DEGs and extract ADP-ribosylation-related module genes. Feature selection methods aided by machine learning, including LASSO regression and the Boruta algorithm, were employed to identify core signature genes. Enzyme-linked immunosorbent assay (ELISA) validated poly(ADP-ribose) polymerase (PARP) protein levels in NSCLC tissues. Immune infiltration analysis, single-gene gene-set enrichment analysis and regulatory network construction were used to explore gene functions. ELISA confirmed significantly higher PARP concentrations in NSCLC tissues compared to para-cancerous tissues (P<0.01), indicating dysregulated ADP-ribosylation pathway activity. Three signature genes (HBZ, HLA-DRA and CCL4) were identified, all of which were significantly associated with immune-cell infiltration and immune factor expression. Reverse transcription-quantitative PCR validation in 10 paired NSCLC patient samples revealed a significant downregulation of HBZ (P<0.0001) and CCL4 (P<0.01), while HLA-DRA showed a non-significant downward trend. This study provides preliminary evidence that HBZ, HLA-DRA and CCL4 are transcriptionally linked to ADP-ribosylation pathway activity and may modulate the NSCLC immune microenvironment, offering potential avenues for future immunotherapeutic research.

Indexed as

ADP-ribosylationbiomarkersenzyme-linked immunosorbent assayfeature selectionimmune microenvironmentnon-small cell lung cancerpoly(ADP-ribose) polymerase

Identifiers

PMID42761267
PMCPMC13586803

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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.