The Cancer Genome Atlas and experimental validation-based analysis of the SPRR2A gene’s expression and clinical relevance in endometrial cancer

Objective This study aimed to identify SPRR2A as a hub gene in endometrial cancer (EC) and explore its potential as a diagnostic and prognostic biomarker. Methods Bioinformatics analysis was performed on high-throughput sequencing datasets of EC cases from The Cancer Genome Atlas. Reverse-transcription-quantitative PCR validated the differential expression of SPRR2A in EC cell lines and tissues. Results Compared with normal cells and adjacent tissues, EC cells and tissues showed significantly upregulated SPRR2A expression (p<0.05). High SPRR2A expression was associated with poor prognosis in EC patients (HR=1.52, 95% CI 1.00 to 2.30, p=0.048). Furthermore, the expression levels of SPRR2A varied across histological grades, being significantly lower in G1 tumours than in G2 and G3 tumours. However, no significant differences in SPRR2A expression regarding age, clinical stage, tumour invasion or histological type were found. Conclusion SPRR2A is overexpressed in EC and serves as an independent predictor of poor prognosis. It may be a potential biomarker for EC diagnosis and prognosis. Further research is needed to explore its molecular mechanisms and clinical applications.

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Publication Details

Journal
Gynecology and Obstetrics Clinical Medicine
Published
2025-08-14
DOI
https://doi.org/10.1136/gocm-2025-000218
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

The Cancer Genome Atlas and experimental validation-based analysis of the SPRR2A gene’s expression and clinical relevance in endometrial cancer

Gynecology and Obstetrics Clinical Medicine
Cell Image Analysis Techniques
article

The Cancer Genome Atlas and experimental validation-based analysis of the SPRR2A gene’s expression and clinical relevance in endometrial cancer

article en

Abstract

Objective This study aimed to identify SPRR2A as a hub gene in endometrial cancer (EC) and explore its potential as a diagnostic and prognostic biomarker. Methods Bioinformatics analysis was performed on high-throughput sequencing datasets of EC cases from The Cancer Genome Atlas. Reverse-transcription-quantitative PCR validated the differential expression of SPRR2A in EC cell lines and tissues. Results Compared with normal cells and adjacent tissues, EC cells and tissues showed significantly upregulated SPRR2A expression (p<0.05). High SPRR2A expression was associated with poor prognosis in EC patients (HR=1.52, 95% CI 1.00 to 2.30, p=0.048). Furthermore, the expression levels of SPRR2A varied across histological grades, being significantly lower in G1 tumours than in G2 and G3 tumours. However, no significant differences in SPRR2A expression regarding age, clinical stage, tumour invasion or histological type were found. Conclusion SPRR2A is overexpressed in EC and serves as an independent predictor of poor prognosis. It may be a potential biomarker for EC diagnosis and prognosis. Further research is needed to explore its molecular mechanisms and clinical applications.

Gynecology and Obstetrics Clinical MedicineVol. 5(3)
Handan College (CN), Sun Yat-sen University (CN), Guangdong Academy of Sciences (CN), Third Affiliated Hospital of Sun Yat-sen University (CN)
Beijing Xisike Clinical Oncology Research Foundation
No poverty
Openalex Percentile: Top 53%
Cell Image Analysis Techniques
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