ArticleFrontiers in oncology2023
Uterine serous carcinoma: assessing association between genomics and patterns of metastasis.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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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
3 citing papers in PubMed, 1 citations in OpenAlex.
- Oligometastatic GIST: Impact of Treatment Modalities and Metastatic Distribution on Overall Survival.Cancers · 2026Article
- Tumor Genomics, Metastatic Patterns, and Prognosis in Leiomyosarcoma: A Single-Center Retrospective Cohort Study.Cancers · 2025Article
- Onvansertib inhibits cell proliferation and increases sensitivity to paclitaxel in uterine serous cancer cells.American journal of cancer research · 2025Article
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
Background: Uterine serous carcinoma (USC) is an aggressive subtype of endometrial carcinoma which has been increasing at alarming rates, particularly among Asian, Hispanic and Black women. USC has not been well characterized in terms of mutational status, pattern of metastases and survival. Objective: To investigate the association between sites of recurrence and metastases of USC, mutational status, race, and overall survival (OS). Methods: This single-center retrospective study evaluated patients with biopsy-proven USC that underwent genomic testing between January 2015 and July 2021. Association between genomic profile and sites of metastases or recurrence was performed using χ2 or Fisher's exact test. Survival curves for ethnicity and race, mutations, sites of metastasis/recurrence were estimated using the Kaplan-Meier method and compared with log-rank test. Cox proportional hazard regression models were used to examine the association between OS with age, race, ethnicity, mutational status, and sites of metastasis/recurrence. Statistical analyses were performed using SAS Software Version 9.4. Results: The study included 67 women (mean age 65.8 years, range 44-82) with 52 non-Hispanic women (78%) and 33 Black women (49%). The most common mutation was Conclusions:
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Registered trials
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