Literature DB >> 28966695

IPI59: An Actionable Biomarker to Improve Treatment Response in Serous Ovarian Carcinoma Patients.

J Choi1, S Ye1, K H Eng1, K Korthauer1, W H Bradley2, J S Rader2, C Kendziorski1.   

Abstract

Despite improvements in operative management and therapies, overall survival rates in advanced ovarian cancer have remained largely unchanged over the past three decades. Although it is possible to identify high-risk patients following surgery, the knowledge does not provide information about the genomic aberrations conferring risk, or the implications for treatment. To address these challenges, we developed an integrative pathway-index model and applied it to messenger RNA expression from 458 patients with serous ovarian carcinoma from the Cancer Genome Atlas project. The biomarker derived from this approach, IPI59, contains 59 genes from six pathways. As we demonstrate using independent datasets from six studies, IPI59 is strongly associated with overall and progression-free survival, and also identifies high-risk patients who may benefit from enhanced adjuvant therapy.

Entities:  

Year:  2016        PMID: 28966695      PMCID: PMC5617361          DOI: 10.1007/s12561-016-9144-1

Source DB:  PubMed          Journal:  Stat Biosci        ISSN: 1867-1764


  25 in total

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Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Doubly penalized buckley-james method for survival data with high-dimensional covariates.

Authors:  Sijian Wang; Bin Nan; Ji Zhu; David G Beer
Journal:  Biometrics       Date:  2007-08-03       Impact factor: 2.571

3.  CePa: an R package for finding significant pathways weighted by multiple network centralities.

Authors:  Zuguang Gu; Jin Wang
Journal:  Bioinformatics       Date:  2013-01-10       Impact factor: 6.937

4.  Gene expression profile of BRCAness that correlates with responsiveness to chemotherapy and with outcome in patients with epithelial ovarian cancer.

Authors:  Panagiotis A Konstantinopoulos; Dimitrios Spentzos; Beth Y Karlan; Toshiyasu Taniguchi; Elena Fountzilas; Nancy Francoeur; Douglas A Levine; Stephen A Cannistra
Journal:  J Clin Oncol       Date:  2010-06-14       Impact factor: 44.544

5.  Clustering threshold gradient descent regularization: with applications to microarray studies.

Authors:  Shuangge Ma; Jian Huang
Journal:  Bioinformatics       Date:  2006-12-20       Impact factor: 6.937

6.  Predictive and prognostic molecular markers for cancer medicine.

Authors:  Sunali Mehta; Andrew Shelling; Anita Muthukaruppan; Annette Lasham; Cherie Blenkiron; George Laking; Cristin Print
Journal:  Ther Adv Med Oncol       Date:  2010-03       Impact factor: 8.168

7.  Prognostically relevant gene signatures of high-grade serous ovarian carcinoma.

Authors:  Roel G W Verhaak; Pablo Tamayo; Ji-Yeon Yang; Diana Hubbard; Hailei Zhang; Chad J Creighton; Sian Fereday; Michael Lawrence; Scott L Carter; Craig H Mermel; Aleksandar D Kostic; Dariush Etemadmoghadam; Gordon Saksena; Kristian Cibulskis; Sekhar Duraisamy; Keren Levanon; Carrie Sougnez; Aviad Tsherniak; Sebastian Gomez; Robert Onofrio; Stacey Gabriel; Lynda Chin; Nianxiang Zhang; Paul T Spellman; Yiqun Zhang; Rehan Akbani; Katherine A Hoadley; Ari Kahn; Martin Köbel; David Huntsman; Robert A Soslow; Anna Defazio; Michael J Birrer; Joe W Gray; John N Weinstein; David D Bowtell; Ronny Drapkin; Jill P Mesirov; Gad Getz; Douglas A Levine; Matthew Meyerson
Journal:  J Clin Invest       Date:  2012-12-21       Impact factor: 14.808

8.  Role of surgical outcome as prognostic factor in advanced epithelial ovarian cancer: a combined exploratory analysis of 3 prospectively randomized phase 3 multicenter trials: by the Arbeitsgemeinschaft Gynaekologische Onkologie Studiengruppe Ovarialkarzinom (AGO-OVAR) and the Groupe d'Investigateurs Nationaux Pour les Etudes des Cancers de l'Ovaire (GINECO).

Authors:  Andreas du Bois; Alexander Reuss; Eric Pujade-Lauraine; Philipp Harter; Isabelle Ray-Coquard; Jacobus Pfisterer
Journal:  Cancer       Date:  2009-03-15       Impact factor: 6.860

9.  Pathway index models for construction of patient-specific risk profiles.

Authors:  Kevin H Eng; Sijian Wang; William H Bradley; Janet S Rader; Christina Kendziorski
Journal:  Stat Med       Date:  2012-10-16       Impact factor: 2.373

10.  Semi-supervised methods to predict patient survival from gene expression data.

Authors:  Eric Bair; Robert Tibshirani
Journal:  PLoS Biol       Date:  2004-04-13       Impact factor: 8.029

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