Evidence map›Paper›PMID 38302782›Full record

ArticleMolecular biology reports2024

Data mining-based identification of epigenetic signatures with discrimination potential of lung adenocarcinoma and squamous cell carcinoma.

Wen-Guang Pang, Min Ye, Jia-Rong Chen, Liang Zhang, Zheng Wang

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Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Wen-Guang PangDepartment of Thoracic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.ORCID http://orcid.org/0009-0002-8458-7832
Min YeDepartment of Thoracic Surgery, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen, 529030, China.ORCID http://orcid.org/0009-0007-9029-5904
Jia-Rong ChenDepartment of Oncology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen, 529030, China.ORCID http://orcid.org/0000-0001-7920-4249
Liang ZhangTranslational Medicine Center, Maternal and Child Health Research Institute, Guangdong Women and Children Hospital, 521 Xingnan Road, Guangzhou, 511400, China. zhangliang1999@tsinghua.org.cn.ORCID http://orcid.org/0000-0003-0782-0688
Zheng WangDepartment of Thoracic Surgery, The 2nd Clinical Medical College of Jinan University, 1017 Dongmen North Road, Luohu District, Shenzhen, 518020, China. Dr_wangzheng@163.com.ORCID http://orcid.org/0009-0005-9262-5706
Sun Yat-sen University · CNGuangdong Province Women and Children Hospital · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMounting evidence suggests that lung adenocarcinoma (LAC) and lung squamous cell carcinoma (LSC) have different biological behaviors and therapeutic regimens in clinical practice. However, limited improvements in molecular differential diagnosis of the two entities have been achieved in recent decades. We aimed to find novel markers that could define non-small cell lung cancer (NSCLC) subtypes.

methodsWe first explored publically available databases to search for DNA methylation signatures that enable a precise discrimination of LAC and LSC. Next-generation sequencing (NGS) was then used to analyze the methylation status and sites of candidate genes in LAC/LSC tissue samples, and a quantitative methylation-sensitive PCR (qMS-PCR) assay was conducted to test the performance of the selected maker in tissue samples and bronchoalveolar lavage fluid (BALF) specimens.

resultsWe screened 19 top-ranked methylation loci that are differentially methylated between LAC and LSC. Among these hits, 6 methylation sites are enriched within the PREX1 gene promoter, thus becoming our focus. NGS analysis confirmed markedly higher PREX1 methylation levels in LAC than in LSC and revealed the right sites for detection of PREX1 methylation. Furthermore, PREX1 methylation analysis in lung cancer tissue samples defined 9 of 11 pathologically proven LACs, as well as 12 of 14 LSCs. In addition, ~ 80% LAC BALF samples showed methylated PREX1 compared to substantially lower test positivity (0-9%) of it in LSC and other lung conditions (P < 0.01).

conclusionOur pilot study identified a unique epigenetic signature that could effectively distinguish LAC from LSC in various lung samples. It may enhance our in-depth understanding of the biology of lung cancer and pave the way for better accurate diagnosis and treatment stratification in the future.

Indexed as

AdenocarcinomaAdenocarcinoma of LungCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellLung NeoplasmsBiomarkers, TumorDNA MethylationEpigenesis, GeneticHumansPilot ProjectsBiomarkers, TumorDifferential diagnosisLung adenocarcinomaLung squamous cell carcinomaPREX1 methylation

Identifiers

PMID38302782
OpenAlexW4391430158

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