Evidence map›Paper›PMID 38862693›Full record

ArticleScientific reports2024

Construction of a nomogram for predicting HNSCC distant metastasis and identification of EIF5A as a hub gene.

Xin Chen, Ying Zhang, Sheng Chen, Yan Yang, Guowen Sun, Peng Pan

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Article in Scientific reports, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xin Chen *Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
Ying Zhang *Oncology Department, The Second Hospital of Nanjing, Nanjing, China.
Sheng ChenDepartment of Oral Pathology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
Yan YangDepartment of Oral Pathology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
Guowen SunDepartment of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China. guowensun@nju.edu.cn.
Peng PanDepartment of Clinical Laboratory, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China. jerry0727@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with distant metastasis of head and neck squamous cell carcinoma (HNSCC) often have a poor prognosis. However, early diagnosis of distant metastasis is challenging in clinical practice, and distant metastasis is often only detected in the late stages of tumor metastasis through imaging techniques. In this study, we utilized data from HNSCC patients collected from the TCGA database. Patients were divided into distant metastasis and nonmetastasis groups based on the tumor-node-metastasis (TNM) stage. We analyzed the differentially expressed genes between the two groups (DM/non-M DEGs) and their associated lncRNAs and generated a predictive model based on 23 lncRNAs that were significantly associated with the occurrence of distant metastasis in HNSCC patients. On this basis, we built a nomogram to predict the distant metastasis of HNSCC patients. Moreover, through WGCNA and Cytoscape software analysis of DM/non-M DEGs, we identified the gene most closely related to HNSCC distant metastasis: EIF5A. Our findings were validated using GEO data; EIF5A expression was significantly increased in the tumor tissues of HNSCC patients with distant metastasis. We then predicted miRNAs that can directly bind to EIF5A via the TargetScan and miRWalk websites, intersected them with differentially expressed miRNAs in the two groups from the TCGA cohort, and identified the only overlapping miRNA, miR-424; we predicted the direct binding site of EIF5A and miR-424 via the miRWalk website. Immunohistochemistry further revealed high expression of EIF5A in the primary tumor tissue of HNSCC patients with distant metastasis. These results provide a new perspective for the early diagnosis of distant metastasis in HNSCC patients and the study of the mechanisms underlying HNSCC distant metastasis.

Indexed as

Eukaryotic Translation Initiation Factor 5AGene Expression Regulation, NeoplasticHead and Neck NeoplasmsNeoplasm MetastasisNomogramsPeptide Initiation FactorsRNA-Binding ProteinsSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorFemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedPrognosisBiomarkers, TumorEIF5A protein, humanEukaryotic Translation Initiation Factor 5AMicroRNAsPeptide Initiation FactorsRNA-Binding ProteinsRNA, Long NoncodingDistant metastasisEIF5AHNSCCmiR-424Nomogram

Identifiers

PMID38862693
PMCPMC11166653

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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.