Intraperitoneal disease dissemination patterns are associated with residual disease, extent of surgery, and molecular subtypes in advanced ovarian cancer.
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Authors
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Torres, Diogo1
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Kumar, Amanika1
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Wallace, Sumer K1
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Bakkum-Gamez, Jamie N1
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Konecny, Gottfried E2
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Weaver, Amy L3
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McGree, Michaela E3
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Goode, Ellen L4
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Cliby, William A1
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Wang, Chen5
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1
Department of Obstetrics and Gynecology, Division of Gynecologic Surgery, Mayo Clinic, Rochester, MN, United States.
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(United States)
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2
Department of Medicine, Division of Hematology/Oncology, University of California Los Angeles, Los Angeles, CA, United States.
,
(United States)
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3
Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States.
,
(United States)
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4
Department of Health Sciences Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, United States.
,
(United States)
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5
Department of Obstetrics and Gynecology, Division of Gynecologic Surgery, Mayo Clinic, Rochester, MN, United States; Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States. Electronic address: [email protected]
,
(United States)
- Type
- Published Article
- Journal
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Gynecologic Oncology
- Publisher
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Elsevier
- Publication Date
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Dec 01, 2017
- Volume
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147
- Issue
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3
- Pages
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503–508
- Identifiers
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DOI: 10.1016/j.ygyno.2017.09.021
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PMID: 28964622
- Source
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Medline
- License
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Unknown
Abstract
IP disease dissemination patterns are associated with RD, surgical complexity, and tumor molecular subtypes. Patients with upper abdominal or miliary dissemination patterns are more likely to have mesenchymal HGSOC and in turn achieve lower rates of complete resection. This provides a plausible model for how the biologic behavior of molecular subtypes is manifest in disease and oncologic outcomes.
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.
This record was last updated on 06/09/2018 and may not reflect the most current and accurate biomedical/scientific data available from NLM.
The corresponding record at NLM can be accessed at
https://www.ncbi.nlm.nih.gov/pubmed/28964622
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