ArticleGynecologic oncology2020
A 73-gene proliferative transcriptomic signature predicts uterine serous carcinoma patient survival and response to primary therapy.
Article in Gynecologic oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Molecular Prognostic Factors in Uterine Serous Carcinomas: A Systematic Review.Current oncology (Toronto, Ont.) · 2025Pooled it
- Senescence-Associated Secretory Phenotype Determines Survival and Therapeutic Response in Cervical Cancer.Cancers · 2020Article
Corrections and comments
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Authors and funding
18 authors at 2 institutions in 2 countries.
Funding
Abstract
objectivesTo develop a transcriptomic signature capable of predicting overall survival (OS) for uterine serous carcinoma (USC).
methodsRNAseq data for 58 USC patients were obtained from TCGA. Expression of 73 candidate genes was measured for 67 Augusta University (AU) samples using NanoString technology.
resultsAnalysis of the TCGA RNAseq data identified 73 genes that individually predict prognosis for USC patients and an elastic net model with all 73 genes (USC73) distinguishes a good OS group with low USC73 score from a poor OS group with high USC73 score (5-year OS = 83.3% and 13.3% respectively, HR = 40.1; p = 3 × 10
conclusionsThe USC73 transcriptomic signature and stage independently predict OS of USC patients and the best prediction is achieved using USC73 and stage. USC73 may also serve as a therapeutic biomarker to guide patient care.
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