Evidence map›Paper›PMID 38742362›Full record

ArticleThe clinical respiratory journal2024

Human epididymis protein 4, a novel potential biomarker for diagnostic and prognosis monitoring of lung cancer.

Tingting Zhang, Lanhe Chu, Wenchong Tan, Cuiping Ye, Hangming Dong

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tingting ZhangInfection Management Department of Zengcheng Campus, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Lanhe ChuDepartment of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Wenchong TanDepartment of Teaching and Research, The Tenth Affiliated Hospital, Southern Medical University, Dongguan, China.
Cuiping YeDepartment of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hangming DongDepartment of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-9573-0721

Funding

Clinical Research Program of Nanfang Hospital, Southern Medical University 2021CR012
6 · The paper itself

Abstract

objectiveThis study aimed to explore the application value of human epididymis protein 4 (HE4) in diagnosing and monitoring the prognosis of lung cancer.

methodsFirst, TCGA (The Cancer Genome Atlas) databases were used to analyze whey-acidic-protein 4-disulfide bond core domain 2 (WFDC2) gene expression levels in lung cancer tissues. Then, a total of 160 individuals were enrolled, categorized into three groups: the lung cancer group (n = 80), the benign lesions group (n = 40), and the healthy controls group (n = 40). Serum HE4 levels and other biomarkers were quantified using an electro-chemiluminescent immunoassay. Additionally, the expression of HE4 in tissues was analyzed through immunohistochemistry (IHC). In vitro cultures of human airway epithelial (human bronchial epithelial [HBE]) cells and various lung cancer cell lines (SPC/PC9/A594/H520) were utilized to detect HE4 levels via western blot (WB).

resultsAnalysis of the TCGA and UALCAN (The University of Alabama at Birmingham Cancer Data Analysis Portal) databases showed that WFDC2 gene expression levels were upregulated in lung cancer tissues (p < 0.01). Compared with the control group and the benign group, HE4 was significantly higher in the serum of patients with lung cancer (p < 0.001). Receiver operating characteristic (ROC) analysis confirmed that HE4 had better diagnostic efficacy than classical markers in the differential diagnosis of lung cancer and benign lesions and had the highest diagnostic value in lung adenocarcinoma (area under the ROC curve [AUC] = 0.826). HE4 increased in early lung cancer and positively correlated with poor prognosis (p < 0.001). Moreover, the results of WB and IHC revealed that the expression of HE4 was increased in lung cancer cells (SPC/A549/H520) and lung cancer tissues but decreased in PC9 cells with a lack of exon EGFR19 (p < 0.05).

conclusionSerum HE4 emerges as a promising novel biomarker for the diagnosis and prognosis assessment of lung cancer.

Indexed as

Biomarkers, TumorLung NeoplasmsWAP Four-Disulfide Core Domain Protein 2AgedCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryMaleMiddle AgedPrognosisBiomarkers, TumorWAP Four-Disulfide Core Domain Protein 2diagnosishuman epididymis protein 4lung adenocarcinomalung cancerprognosis

Identifiers

PMID38742362
PMCPMC11091784

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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.