Literature DB >> 34775477

PIK3R5 genetic predictors of hypertension induced by VEGF-pathway inhibitors.

Julia C F Quintanilha1, Alessandro Racioppi2, Jin Wang3, Amy S Etheridge2, Stefanie Denning2, Carol E Peña4, Andrew D Skol5, Daniel J Crona2,6,7, Danyu Lin3, Federico Innocenti8.   

Abstract

No biomarkers are available to predict patients at risk of developing hypertension induced by VEGF-pathway inhibitors. This study aimed to identify predictive biomarkers of hypertension induced by these drugs using a discovery-replication approach. The discovery set included 140 sorafenib-treated patients (TARGET study) genotyped for 973 SNPs in 56 genes. The most statistically significant SNPs associated with grade ≥2 hypertension were tested for association with grade ≥2 hypertension in the replication set of a GWAS of 1039 bevacizumab-treated patients from four clinical trials (CALGB/Alliance). In the discovery set, rs444904 (G > A) in PIK3R5 was associated with an increased risk of sorafenib-induced hypertension (p = 0.006, OR = 3.88 95% CI 1.54-9.81). In the replication set, rs427554 (G > A) in PIK3R5 (in complete linkage disequilibrium with rs444904) was associated with an increased risk of bevacizumab-induced hypertension (p = 0.008, OR = 1.39, 95% CI 1.09-1.78). This study identified a predictive marker of drug-induced hypertension that should be evaluated for other VEGF-pathway inhibitors.ClinicalTrials.gov Identifier:NCT00073307 (TARGET).
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2021        PMID: 34775477      PMCID: PMC8799524          DOI: 10.1038/s41397-021-00261-5

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.245


  37 in total

1.  dbSNP: the NCBI database of genetic variation.

Authors:  S T Sherry; M H Ward; M Kholodov; J Baker; L Phan; E M Smigielski; K Sirotkin
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

Review 2.  Cross-talk between site-specific transcription factors and DNA methylation states.

Authors:  Adam Blattler; Peggy J Farnham
Journal:  J Biol Chem       Date:  2013-10-22       Impact factor: 5.157

Review 3.  Hypertension induced by vascular endothelial growth factor signaling pathway inhibition: mechanisms and potential use as a biomarker.

Authors:  Emily S Robinson; Eliyahu V Khankin; S Ananth Karumanchi; Benjamin D Humphreys
Journal:  Semin Nephrol       Date:  2010-11       Impact factor: 5.299

4.  Gemcitabine plus bevacizumab compared with gemcitabine plus placebo in patients with advanced pancreatic cancer: phase III trial of the Cancer and Leukemia Group B (CALGB 80303).

Authors:  Hedy Lee Kindler; Donna Niedzwiecki; Donna Hollis; Susan Sutherland; Deborah Schrag; Herbert Hurwitz; Federico Innocenti; Mary Frances Mulcahy; Eileen O'Reilly; Timothy F Wozniak; Joel Picus; Pankaj Bhargava; Robert J Mayer; Richard L Schilsky; Richard M Goldberg
Journal:  J Clin Oncol       Date:  2010-07-06       Impact factor: 44.544

5.  Bevacizumab-induced hypertension and proteinuria: a genome-wide study of more than 1000 patients.

Authors:  Julia C F Quintanilha; Jin Wang; Alexander B Sibley; Chen Jiang; Amy S Etheridge; Fei Shen; Guanglong Jiang; Flora Mulkey; Jai N Patel; Daniel L Hertz; Elizabeth Claire Dees; Howard L McLeod; Monica Bertagnolli; Hope Rugo; Hedy L Kindler; William Kevin Kelly; Mark J Ratain; Deanna L Kroetz; Kouros Owzar; Bryan P Schneider; Danyu Lin; Federico Innocenti
Journal:  Br J Cancer       Date:  2021-10-06       Impact factor: 9.075

Review 6.  Renal cell carcinoma: new developments in molecular biology and potential for targeted therapies.

Authors:  Luciano J Costa; Harry A Drabkin
Journal:  Oncologist       Date:  2007-12

7.  Phase III Trial Evaluating Letrozole As First-Line Endocrine Therapy With or Without Bevacizumab for the Treatment of Postmenopausal Women With Hormone Receptor-Positive Advanced-Stage Breast Cancer: CALGB 40503 (Alliance).

Authors:  Maura N Dickler; William T Barry; Constance T Cirrincione; Matthew J Ellis; Mary Ellen Moynahan; Federico Innocenti; Arti Hurria; Hope S Rugo; Diana E Lake; Olwen Hahn; Bryan P Schneider; Debasish Tripathy; Lisa A Carey; Eric P Winer; Clifford A Hudis
Journal:  J Clin Oncol       Date:  2016-05-02       Impact factor: 44.544

8.  Annotation of functional variation in personal genomes using RegulomeDB.

Authors:  Alan P Boyle; Eurie L Hong; Manoj Hariharan; Yong Cheng; Marc A Schaub; Maya Kasowski; Konrad J Karczewski; Julie Park; Benjamin C Hitz; Shuai Weng; J Michael Cherry; Michael Snyder
Journal:  Genome Res       Date:  2012-09       Impact factor: 9.043

9.  SCAN database: facilitating integrative analyses of cytosine modification and expression QTL.

Authors:  Wei Zhang; Eric R Gamazon; Xu Zhang; Anuar Konkashbaev; Cong Liu; Keely L Szilágyi; M Eileen Dolan; Nancy J Cox
Journal:  Database (Oxford)       Date:  2015-03-27       Impact factor: 3.451

Review 10.  Incidence and risk of sorafenib-induced hypertension: a systematic review and meta-analysis.

Authors:  Yan Li; Shun Li; Yaofeng Zhu; Xinyue Liang; Hui Meng; Jun Chen; Dongqing Zhang; Hu Guo; Benkang Shi
Journal:  J Clin Hypertens (Greenwich)       Date:  2014-03       Impact factor: 3.738

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