Back to search

Article

Identification and validation of a prognostic index based on a metabolic-genomic landscape analysis of ovarian cancer

2019-12-05

Abstract excerpt

<h4>Purpose: </h4> Tumor metabolism has been a novel driver of personalized cancer medicine, with aggressive efforts to regulate the metabolic system to prolong their life. The aim of this study is to explore the prognostic value of metabolism in ovarian serous cystadenocarcinoma (OSC), which is the most common subtype of ovarian cancer, accounts for 75-80% of reported cases. Patients and methods: we integrated th...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
360f2091-e61f-5368-aa6d-ce76a7a34a99
DOI
10.21203/rs.2.18157/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification and validation of a prognostic index based on a metabolic-genomic landscape analysis of ovarian cancerDOI 10.21203/rs.2.18157/v1
Select a neighboring publication to make it the new centre.