Gynaecological Cancers Risk: Breast Cancer, Ovarian Cancer and Endometrial Cancer

Edited by
January 2022
338 pages
  • ISBN978-3-0365-2982-0 (Hardback)
  • ISBN978-3-0365-2983-7 (PDF)

This book is a reprint of the Special Issue Gynaecological Cancers Risk: Breast Cancer, Ovarian Cancer and Endometrial Cancer that was published in

Biology & Life Sciences
Medicine & Pharmacology

The International Agency for Research on Cancer suggests that the burden of women’s cancers including breast, ovarian, and womb will rise by 50% over the next 20 years. It is essential for us to improve early diagnosis and prevention of these cancers in our health systems. The last decade has seen significant strides in our ability to understand and predict a woman’s risk of these cancers and offer personalized medicine approaches for risk management. There have been improvements in identifying individuals at increased risk, as well as implementing and evaluating strategies for screening and prevention. In this special collection, we bring together 16 articles from leading scientists and researchers. These capture some of the important advances observed in estimating cancer risk, providing genetic testing, offering risk management to those at increased risk, as well as screening and prevention of breast, ovarian, and womb cancers in women. This makes an important contribution to the rapidly advancing knowledge base across the area of personalized medicine and precision prevention of ovarian, endometrial, and breast cancers.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
breast cancer; galectins; galectin-7; galectin-8; prognostic markers; tumor infiltrating macrophages; breast cancer; screening; mammography; incidence-based mortality; population genetic testing; ovarian cancer risk; risk stratification; BRCA1; BRCA2; RAD51C; RAD51D; BRIP1; SNP; risk modelling; BRCA; population testing; cost-effectiveness; ovarian cancer; breast cancer; cancer prevention; ovarian cancer; CA125; HE4; UKCTOCS; MMT; screening; postmenopausal women; ovarian cancer risk; rare germline variants; susceptibility genes; risk stratification; genomics; questionnaires; attitudes; ovarian cancer; symptoms; early detection; risk assessment; diagnostic prediction model; triage tool; ovarian cancer symptoms; family history; breast cancer; risk; genes; screening; prevention; dyskerin; DKC1; endometrial cancer; telomerase; proliferation; telomeres; endometrial cancer; obesity; metabolomics; liquid biopsy; mass spectrometry; plasma biomarkers; artificial intelligence; ovarian cancer; screening; ultrasound; TVS; early detection; trial; randomised controlled trial; UKCTOCS; endometrial cancer; genomic sequencing; tumor mutational signatures; hereditary cancer genes; mismatch repair; familial cancer; menopausal hormone therapy; breast cancer risk; BMI; early BMI; age of pregnancy; mammographic density; body mass index; weight loss; breast cancer risk; breast cancer prevention; premenopausal; ovarian cancer; BRCA; genetic testing; germline; somatic; RAD51C; RAD51D; BRIP1; n/a

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