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Updated: May 9, 2026
09:34
Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Survival prediction based on inherited gene variation analysis.
Mine S Cicek1, Matthew J Maurer, Ellen L Goode
1Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA.
Methods in Molecular Biology (Clifton, N.J.)
|August 6, 2013
Summary
Inherited genetic variants influence ovarian cancer outcomes. Identifying these survival-associated variants can improve current prognostic tools for ovarian cancer patients.
Area of Science:
- Oncology
- Genetics
- Genomics
Background:
- Ovarian cancer outcomes vary significantly among patients.
- Known prognostic factors include clinical features like age, stage, comorbidities, and surgical debulking.
- A portion of outcome variation in ovarian cancer remains unexplained by current clinical factors.
Purpose of the Study:
- To identify inherited genetic variants associated with survival in ovarian cancer.
- To explore the potential of these variants in enhancing prognostic capabilities for ovarian cancer.
Main Methods:
- This study involved the identification of survival-associated inherited variants in ovarian cancer cases.
- The methods focused on analyzing genetic factors contributing to disease outcome.
Main Results:
- The research successfully identified specific inherited variants linked to ovarian cancer survival.
- These variants represent a novel category of prognostic indicators.
Conclusions:
- Inherited factors play a role in the unexplained variation of ovarian cancer outcomes.
- The identified survival-associated variants offer a new avenue for improving prognostic accuracy in ovarian cancer management.
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