Evidence map›Paper›PMID 39650787›Full record

ArticleInternational journal of general medicine2024

Comprehensive Analysis of circRNA-Related mRNAs as Prognostic Factors in Non-Smoking Women with Lung Adenocarcinoma.

Hao Wang, Song Wei, Lijun Wang, Zhihong Zhang

Abstract read
In one paragraph

Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hao WangDepartment of Respiratory Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230031, People's Republic of China.ORCID 0000-0002-3294-8678
Song WeiDepartment of Respiratory Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230031, People's Republic of China.
Lijun WangDepartment of Respiratory Disease, Building 8 of Tongling People's Hospital, Tongling, Anhui, 244000, People's Republic of China.
Zhihong ZhangDepartment of Respiratory Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230031, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-smoking women with lung adenocarcinoma(NSWLA) is a significant health problem globally; the carcinogenesis and prognostic signature remain poorly understood. Circular RNAs (circRNAs) are gradually implicated in cancer formation through sponging miRNAs to regulate mRNAs. Methods: Tumor and paracancerous specimens from non-smoking women after lung adenocarcinoma surgery were collected for high-throughput sequencing of circRNA. miRNA and mRNA datasets were downloaded from TCGA. A circRNA-miRNA-mRNA network was built using differentially expressed circRNAs (DEcircRNAs), miRNAs (DEmiRNAs), and mRNAs (DEmRNAs). Following that, GSEA was applied to analyze the biological function of mRNAs in the ceRNA network. Utilizing the mRNAs associated with prognosis, we created an original prognostic risk score model. The expression of DEmRNA in the ceRNA network was verified by mRNA-seq and scRNA-seq data (GSE131907). The expression of BTBD3 and EIF4EBP2 was then verified by immunohistochemistry. Results: 16 pairs of adenocarcinoma tissues and their corresponding para-tumor samples were collected from thoracic surgery. We created a circRNA related ceRNA in NSWLA. The hsa_circ_0002346 regulation of the cancer cell proliferation may through the hsa_circ_0002346/miR-96-5p/EIF4EBP2 axis. Hsa_circ_0072309 may affect proliferation of lung adenocarcinoma and activate Nature Killer cells by targeting miR-32-5p to regulate PCMTD1 expression. Based upon mRNA (BTBD3, CFL2, EIF4EBP2, EVI5, PCMTD1, SYDE2) related to overall survival, we also created a predictive signature. According to mRNA-seq, scRNA-seq, and immunohistochemical data, the expression of BTBD3 and EIF4EBP2 was lower in tumor samples than in normal tissues nearby. Conclusion: The circRNA related mRNAs played an important role in predicting the overall survival of NSWLA. The circRNA in the ceRNA network might unravel the pathogenesis and be potential novel targets for NSWLA.

Indexed as

ceRNAcircRNAlung adenocarcinomamiRNAprognosiswomen

Identifiers

PMID39650787
PMCPMC11625186

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