Evidence map›Paper›PMID 38173198›Full record

ArticleCurrent medicinal chemistry2024

Identification of Crosstalk Genes between Lung Adenocarcinoma and Periodontitis.

Pengcheng Wang, Hui Yu, Xiaoli Gao, Ziyi Guo, Zheng Zhang, Zuomin Wang

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Article in Current medicinal chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. CD74Journal of translational medicine · 2025
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Pengcheng WangDepartment of Stomatology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100000, China.
Hui YuDepartment of Stomatology, Affiliated Zhongshan Hospital of Dalian University, Dalian, 116000, China.
Xiaoli GaoDepartment of Stomatology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100000, China.
Ziyi GuoDepartment of Stomatology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100000, China.
Zheng ZhangDepartment of Periodontology, Tianjin Stomatological Hospital, Nankai University, Tianjin, 300000, China.
Zuomin WangDepartment of Stomatology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) represents a significant global health issue. Smoking contributes to the development of periodontitis and LUAD. The connections between the two are still ambiguous.

methodsBased on RNA expression data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, differentially expressed genes (DEGs) in Periodontitis and LUAD were collected. Protein-protein interaction (PPI) networks were produced by mining genes intersecting with crossover DEGs. Genes in the subnetwork and the top 15 genes of the topology score were defined as the crosstalk gene. Feature selection and diagnostic model construction were conducted based on Recursive Feature Elimination (RFE) and support vector machines (SVM). Additionally, we analyzed the immune cells and signaling pathways influenced by the crosstalk gene.

resultsA total of 29 crossover DEGs between Periodontitis and LUAD were filtered, with 20 genes interacting with them in the PPI network. Five subnetworks with similar interaction patterns in the PPI network were detected. Based on the network topology analysis, genes ranking in the top 15 were used to take the intersection with those genes in the 5 subnetworks. Twelve intersecting genes were identified. Based on RFE and SVM algorithms, FKBP11 and MMP13 were considered as the Crosstalk genes for both Periodontitis and LUAD. The diagnostic model composed of FKBP11 and MMP13 showed excellent diagnostic potential. In addition, we found that FKBP11 and MMP13 influenced Macrophages, M1, T cells, CD8 activity, immune-related pathways, and cell cycle pathways.

conclusionWe identified the crosstalk genes (FKBP11 and MMP13) between periodontitis and LUAD. The two genes affected the comorbidity status between the two diseases through immune cell activity.

Indexed as

Adenocarcinoma of LungLung NeoplasmsPeriodontitisProtein Interaction MapsGene Regulatory NetworksHumansSupport Vector Machinecomorbidities.crosstalk gene immunityLung adenocarcinomaperiodontitisPPI networksupport vector machines

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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.