Literature DB >> 24303318

Platform for Personalized Oncology: Integrative analyses reveal novel molecular signatures associated with colorectal cancer relapse.

Subha Madhavan1, Robinder Gauba, Lei Song, Krithika Bhuvaneshwar, Yuriy Gusev, Steve Byers, Hartmut Juhl, Louis Weiner.   

Abstract

Approximately 80% of Stage II colon cancer patients are cured by appropriate surgery. However, 20% relapse, and virtually all of these people will die due to metastatic disease. Adjuvant chemotherapy has little or no impact on relapse or survival in Stage II colon cancer, and can only add toxicity without benefit for 80% of the target population that has been cured by surgery. Despite much effort, it is difficult to identify clinical or molecular determinants of outcome in Stage II colon cancer, defeating attempts to target treatments to the 20% of individuals who are destined to relapse. We hypothesized that a multidimensional molecular analysis will identify a combination of factors that serve as prognostic biomarkers in Stage II adenocarcinoma of the colon. The Georgetown informatics team generated and analyzed multi-omics profiling datasets in stage II CRC patients with or without relapse to identify molecular signatures in CRC that may serve both as prognostic markers of recurrence, and also allow for identification of the subgroup of patients who might benefit from adjuvant chemotherapy. The datasets were loaded to GDOC® (Georgetown Database of Cancer) for further mining and analysis. The G-DOC web portal (http://gdoc.georgetown.edu) includes a broad collection of bioinformatics and systems biology tools for analysis and visualization of four major "omics" types: DNA, mRNA, microRNA, and metabolites. Through technology re-use, the G-DOC infrastructure will accelerate progress for a variety of ongoing programs in need of integrative multi-omics analysis, and advance our opportunities to practice effective personalized oncology in the near future.

Entities:  

Year:  2013        PMID: 24303318

Source DB:  PubMed          Journal:  AMIA Jt Summits Transl Sci Proc


  3 in total

1.  Somatic cancer variant curation and harmonization through consensus minimum variant level data.

Authors:  Deborah I Ritter; Sameek Roychowdhury; Angshumoy Roy; Shruti Rao; Melissa J Landrum; Dmitriy Sonkin; Mamatha Shekar; Caleb F Davis; Reece K Hart; Christine Micheel; Meredith Weaver; Eliezer M Van Allen; Donald W Parsons; Howard L McLeod; Michael S Watson; Sharon E Plon; Shashikant Kulkarni; Subha Madhavan
Journal:  Genome Med       Date:  2016-11-04       Impact factor: 11.117

2.  Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium.

Authors:  Wei Gu; Reha Yildirimman; Emmanuel Van der Stuyft; Denny Verbeeck; Sascha Herzinger; Venkata Satagopam; Adriano Barbosa-Silva; Reinhard Schneider; Bodo Lange; Hans Lehrach; Yike Guo; David Henderson; Anthony Rowe
Journal:  BMC Bioinformatics       Date:  2019-04-01       Impact factor: 3.169

3.  Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases.

Authors:  Venkata Satagopam; Wei Gu; Serge Eifes; Piotr Gawron; Marek Ostaszewski; Stephan Gebel; Adriano Barbosa-Silva; Rudi Balling; Reinhard Schneider
Journal:  Big Data       Date:  2016-06       Impact factor: 2.128

  3 in total

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