Unknown

Dataset Information

0

Survival prediction based on inherited gene variation analysis.


ABSTRACT: There is a significant variation of outcome among ovarian cases. Clinical features such as age, stage, comorbidities, or degree of debulking are known prognostic factors for the disease. However, additional variation remains unexplained, some of which may be due to inherited factors. Here, we describe identification of survival-associated inherited variants in ovarian cancer that can enhance our current prognostic capabilities.

SUBMITTER: Cicek MS 

PROVIDER: S-EPMC4054688 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

altmetric image

Publications

Survival prediction based on inherited gene variation analysis.

Cicek Mine S MS   Maurer Matthew J MJ   Goode Ellen L EL  

Methods in molecular biology (Clifton, N.J.) 20130101


There is a significant variation of outcome among ovarian cases. Clinical features such as age, stage, comorbidities, or degree of debulking are known prognostic factors for the disease. However, additional variation remains unexplained, some of which may be due to inherited factors. Here, we describe identification of survival-associated inherited variants in ovarian cancer that can enhance our current prognostic capabilities. ...[more]

Similar Datasets

| S-EPMC4106984 | biostudies-literature
| S-EPMC3392094 | biostudies-literature
| S-EPMC4361274 | biostudies-literature
| S-EPMC8283252 | biostudies-literature
| S-EPMC10365268 | biostudies-literature
| S-EPMC8782148 | biostudies-literature
| S-EPMC3170315 | biostudies-literature
| S-EPMC9263703 | biostudies-literature
2015-05-02 | E-GEOD-68465 | biostudies-arrayexpress
| S-EPMC2680361 | biostudies-literature