The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.
Molecular Genetics of Endometrial Carcinoma
Abstract
Endometrial cancer is the most commonly diagnosed gynecologic malignancy in the United States. Endometrioid endometrial carcinomas constitute approximately 85% of newly diagnosed cases; serous carcinomas represent approximately 3–10% of diagnoses; clear cell carcinoma accounts for <5% of diagnoses; and uterine carcinosarcomas are rare, biphasic tumors. Longstanding molecular observations implicate PTEN inactivation as a major driver of endometrioid carcinomas; TP53 inactivation as a major driver of most serous carcinomas, some high-grade endometrioid carcinomas, and many uterine carcinosarcomas; and inactivation of either gene as drivers of some clear cell carcinomas. In the past decade, targeted gene and exome sequencing have uncovered additional pathogenic aberrations in each histotype. Moreover, an integrated genomic analysis by The Cancer Genome Atlas (TCGA) resulted in the molecular classification of endometrioid and serous carcinomas into four distinct subgroups, POLE (ultramutated), microsatellite instability (hypermutated), copy number low (endometrioid), and copy number high (serous-like). In this review, we provide an overview of the major molecular features of the aforementioned histopathological subtypes and TCGA subgroups and discuss potential prognostic and therapeutic implications for endometrial carcinoma.
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Cites
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
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Mutational landscape and significance across 12 major cancer types
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Metadata
- Authors
- Bell, D. W., & Ellenson, L. H.
- Venue
- Annual Review of Pathology: Mechanisms of Disease
- Publisher
- Annual Reviews
- Published
- 2019-01-24
- Volume
- 14
- Issue
- 1
- Pages
- 339-367
- ISSN
- 1553-4006 (ISSN-L)
- 1553-4014
- OpenAlex
- W2558168745
- Cited by
- 304
- References
- 130
- FWCI
- 4.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bell, D. W., & Ellenson, L. H. (2019). Molecular Genetics of Endometrial Carcinoma. Annual Review of Pathology: Mechanisms of Disease. https://doi.org/10.1146/annurev-pathol-020117-043609
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
