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Low-grade serous ovarian cancer: expert consensus report on the state of the science.

Rachel N GrishamBrian M SlomovitzNicole AndrewsSusana BanerjeeJubilee BrownMark S CareyHerman ChuiRobert L ColemanAmanda N FaderStephanie GaillardCharlie GourleyAnil K SoodBradley J MonkKathleen N MooreIsabelle L Ray-CoquardIe-Ming ShihShannon Neville WestinKwong-Kwok WongDavid M Gershenson
Published in: International journal of gynecological cancer : official journal of the International Gynecological Cancer Society (2023)
Compared with high-grade serous carcinoma, low-grade serous carcinoma of the ovary or peritoneum is a less frequent epithelial ovarian cancer type that is poorly sensitive to chemotherapy and affects younger women, many of whom endure years of ineffective treatments and poor quality of life. The pathogenesis of this disease and its management remain incompletely understood. However, recent advances in the molecular characterization of the disease and identification of novel targeted therapies with activity in low-grade serous carcinoma offer the promise of improved outcomes. To update clinicians regarding recent scientific and clinical trial advancements and discuss unanswered questions related to low-grade serous carcinoma diagnosis and treatment, a panel of experts convened for a workshop in October 2022 to develop a consensus document addressing pathology, translational research, epidemiology and risk, clinical management, and ongoing research. In addition, the patient perspective was discussed. The recommendations developed by this expert panel-presented in this consensus document-will guide practitioners in all settings regarding the clinical management of women with low-grade serous carcinoma and discuss future opportunities to improve research and patient care.
Keyphrases
  • high grade
  • low grade
  • clinical trial
  • clinical practice
  • primary care
  • pregnant women
  • palliative care
  • machine learning
  • study protocol
  • case report
  • adipose tissue
  • open label
  • double blind
  • pregnancy outcomes
  • big data