[LIM and calponin homology domains 1 may function as promising biological markers to aid in the prognostic prediction of oral squamous cell carcinoma].

Q3 Medicine
北京大学学报(医学版) Pub Date : 2025-02-18
Li Xu, Wen Shi, Yuehua Li, Yajun Shen, Shang Xie, Xiaofeng Shan, Zhigang Cai
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引用次数: 0

Abstract

Objective: To explore the function of LIM and calponin homology domains 1 (LIMCH1) in the development and progression of oral squamous cell carcinoma (OSCC), along with their potential clinical applications.

Methods: By utilizing transcriptome sequencing data from two groups of oral squamous cell carcinoma patients, along with bioinformatics analytical techniques such as Gene Ontology (GO) and gene co-expression networks, we identified genes that might play a pivotal role in the pathogenesis of oral squamous cell carcinoma. We employed real-time quantitative PCR and Western blotting to validate the expression patterns of these genes across twelve patient tissue samples. Furthermore, we conducted CCK-8 assays, flow cytometry analyses, and scratch wound healing assays to assess the impact of key genes on the biological behaviors of both the Cal27 oral squamous cell carcinoma cell line and the potentially malignant DOK oral lesion cell line. Additionally, we examined correlations between these key genes and clinical disease parameters in 214 oral squamous cell carcinoma patients using The Cancer Genome Atlas (TCGA) data; gene set enrichment analysis (GSEA) analysis results were also incorporated to enhance our findings from real-time quantitative PCR and Western blotting regarding potential mechanisms underlying the action of these key genes.

Results: The integrated analysis of sequencing data and bioinformatics revealed that LIMCH1 exhibited significantly reduced mRNA (P < 0.001) and protein levels (P < 0.01) in the oral squamous cell carcinoma tissues compared with normal control tissues. In the Cal27 cells, the low LIMCH1 level group demonstrated a larger wound healing area within 24 hours than the control group (P < 0.01), enhanced proliferation capacity over 72 hours relative to the control group (P < 0.01), and an increased apoptosis rate within 24 hours compared with the high expression group (P < 0.05). However, no significant differences were observed between the low and high level groups in DOK cells. Furthermore, it was determined that low LIMCH1 level correlated with poor prognosis in the patients (P=0.013) and a higher lymph node metastasis rate (P < 0.05). Investigations into the potential mechanisms of action indicated that LIMCH1 did not influence the onset or progression of oral squamous cell carcinoma via the epithelial-mesenchymal transition pathway.

Conclusion: LIMCH1 level may function as a promising biomarker to aid in the prognostic assessment of oral squamous cell carcinoma; however, its precise mechanistic role requires further investigation.

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来源期刊
北京大学学报(医学版)
北京大学学报(医学版) Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
9815
期刊介绍: Beijing Da Xue Xue Bao Yi Xue Ban / Journal of Peking University (Health Sciences), established in 1959, is a national academic journal sponsored by Peking University, and its former name is Journal of Beijing Medical University. The coverage of the Journal includes basic medical sciences, clinical medicine, oral medicine, surgery, public health and epidemiology, pharmacology and pharmacy. Over the last few years, the Journal has published articles and reports covering major topics in the different special issues (e.g. research on disease genome, theory of drug withdrawal, mechanism and prevention of cardiovascular and cerebrovascular diseases, stomatology, orthopaedic, public health, urology and reproductive medicine). All the topics involve latest advances in medical sciences, hot topics in specific specialties, and prevention and treatment of major diseases. The Journal has been indexed and abstracted by PubMed Central (PMC), MEDLINE/PubMed, EBSCO, Embase, Scopus, Chemical Abstracts (CA), Western Pacific Region Index Medicus (WPR), JSTChina, and almost all the Chinese sciences and technical index systems, including Chinese Science and Technology Paper Citation Database (CSTPCD), Chinese Science Citation Database (CSCD), China BioMedical Bibliographic Database (CBM), CMCI, Chinese Biological Abstracts, China National Academic Magazine Data-Base (CNKI), Wanfang Data (ChinaInfo), etc.
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