ArticleBMC cancer2021
A 4-gene signature predicts prognosis of uterine serous carcinoma.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Molecular Prognostic Factors in Uterine Serous Carcinomas: A Systematic Review.Current oncology (Toronto, Ont.) · 2025Pooled it
- Cytokeratin expression in breast cancer: from mechanisms, progression, diagnosis, and prognosis to therapeutic implications.Molecular & cellular oncology · 2025Review
- Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling.Clinical proteomics · 2024Article
- CXCR3 predicts the prognosis of endometrial adenocarcinoma.BMC medical genomics · 2023Article
- Uterine serous carcinoma: assessing association between genomics and patterns of metastasis.Frontiers in oncology · 2023Article
- Nine-gene signature and nomogram for predicting survival in patients with head and neck squamous cell carcinoma.Frontiers in genetics · 2022Article
- SOX9: Advances in Gynecological Malignancies.Frontiers in oncology · 2021Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUterine serous carcinoma (USC) is an aggressive type of endometrial cancer that accounts for up to 40% of endometrial cancer deaths, creating an urgent need for prognostic biomarkers.
methodsUSC RNA-Seq data and corresponding patients' clinical records were obtained from The Cancer Genome Atlas and Genotype-Tissue Expression datasets. Univariate cox, Lasso, and Multivariate cox regression analyses were conducted to forge a prognostic signature. Multivariable and univariable cox regression analysis and ROC curve evaluated the prediction efficiency both in the training and testing sets.
resultsWe uncovered 1385 genes dysregulated in 110 cases of USC tissue relative to 113 cases of normal uterine tissue. Functional enrichment analysis of these genes revealed the involvement of various cancer-related pathways in USC. A novel 4-gene signature (KRT23, CXCL1, SOX9 and ABCA10) of USC prognosis was finally forged by serial regression analyses. Overall patient survival (OS) and recurrence-free survival (RFS) were significantly lower in the high-risk group relative to the low-risk group in both the training and testing sets. The area under the ROC curve of the 4-gene signature was highest among clinicopathological features in predicting OS and RFS. The 4-gene signature was found to be an independent prognostic indicator in USC and was a superior predictor of OS in early stage of USC.
conclusionsOur findings highlight the potential of the 4-gene signature as a guide for personalized USC treatment.
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