Browsing by Author "Ratain, Mark J."

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    Bevacizumab-induced hypertension and proteinuria: a genome-wide study of more than 1000 patients
    (Springer Nature, 2022) Quintanilha, Julia C.F.; Wang, Jin; Sibley, Alexander B.; Jiang, Chen; Etheridge, Amy S.; Shen, Fei; Jiang, Guanglong; Mulkey, Flora; Patel, Jai N.; Hertz, Daniel L.; Dees, Elizabeth Claire; McLeod, Howard L.; Bertagnolli, Monica; Rugo, Hope; Kindler, Hedy L.; Kelly, William Kevin; Ratain, Mark J.; Kroetz, Deanna L.; Owzar, Kouros; Schneider, Bryan P.; Lin, Danyu; Innocenti, Federico; Medicine, School of Medicine
    Background: Hypertension and proteinuria are common bevacizumab-induced toxicities. No validated biomarkers are available for identifying patients at risk of these toxicities. Methods: A genome-wide association study (GWAS) meta-analysis was performed in 1039 bevacizumab-treated patients of European ancestry in four clinical trials (CALGB 40502, 40503, 80303, 90401). Grade ≥2 hypertension and proteinuria were recorded (CTCAE v.3.0). Single-nucleotide polymorphism (SNP)-toxicity associations were determined using a cause-specific Cox model adjusting for age and sex. Results: The most significant SNP associated with hypertension with concordant effect in three out of the four studies (p-value <0.05 for each study) was rs6770663 (A > G) in KCNAB1, with the G allele increasing the risk of hypertension (p-value = 4.16 × 10-6). The effect of the G allele was replicated in ECOG-ACRIN E5103 in 582 patients (p-value = 0.005). The meta-analysis of all five studies for rs6770663 led to p-value = 7.73 × 10-8, close to genome-wide significance. The most significant SNP associated with proteinuria was rs339947 (C > A, between DNAH5 and TRIO), with the A allele increasing the risk of proteinuria (p-value = 1.58 × 10-7). Conclusions: The results from the largest study of bevacizumab toxicity provide new markers of drug safety for further evaluations. SNP in KCNAB1 validated in an independent dataset provides evidence toward its clinical applicability to predict bevacizumab-induced hypertension.
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    Cancer Pharmacogenomics and Pharmacoepidemiology: Setting a Research Agenda to Accelerate Translation
    (Oxford University Press, 2010-10-13) Freedman, Andrew N.; Sansbury, Leah B.; Figg, William D.; Potosky, Arnold L.; Smith, Sheila R. Weiss; Khoury, Muin J.; Nelson, Stefanie A.; Weinshilboum, Richard M.; Ratain, Mark J.; McLeod, Howard L.; Epstein, Robert S.; Ginsburg, Geoffrey S.; Schilsky, Richard L.; Liu, Geoffrey; Flockhart, David A.; Ulrich, Cornelia M.; Davis, Robert L.; Lesko, Lawrence J.; Zineh, Issam; Randhawa, Gurvaneet; Ambrosone, Christine B.; Relling, Mary V.; Rothman, Nat; Xie, Heng; Spitz, Margaret R.; Ballard-Barbash, Rachel; Doroshow, James H.; Minasian, Lori M.; Medicine, School of Medicine
    Recent advances in genomic research have demonstrated a substantial role for genomic factors in predicting response to cancer therapies. Researchers in the fields of cancer pharmacogenomics and pharmacoepidemiology seek to understand why individuals respond differently to drug therapy, in terms of both adverse effects and treatment efficacy. To identify research priorities as well as the resources and infrastructure needed to advance these fields, the National Cancer Institute (NCI) sponsored a workshop titled “Cancer Pharmacogenomics: Setting a Research Agenda to Accelerate Translation” on July 21, 2009, in Bethesda, MD. In this commentary, we summarize and discuss five science-based recommendations and four infrastructure-based recommendations that were identified as a result of discussions held during this workshop. Key recommendations include 1) supporting the routine collection of germline and tumor biospecimens in NCI-sponsored clinical trials and in some observational and population-based studies; 2) incorporating pharmacogenomic markers into clinical trials; 3) addressing the ethical, legal, social, and biospecimen- and data-sharing implications of pharmacogenomic and pharmacoepidemiologic research; and 4) establishing partnerships across NCI, with other federal agencies, and with industry. Together, these recommendations will facilitate the discovery and validation of clinical, sociodemographic, lifestyle, and genomic markers related to cancer treatment response and adverse events, and they will improve both the speed and efficiency by which new pharmacogenomic and pharmacoepidemiologic information is translated into clinical practice.
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    Clinical and Genome-Wide Analysis of Serum Platinum Levels after Cisplatin-Based Chemotherapy
    (American Association for Cancer Research, 2019-10-01) Trendowski, Matthew R.; El Charif, Omar; Ratain, Mark J.; Monahan, Patrick; Mu, Zepeng; Wheeler, Heather E.; Dinh, Paul C., Jr.; Feldman, Darren R.; Ardeshir-Rouhani-Fard, Shirin; Hamilton, Robert J.; Vaughn, David J.; Fung, Chunkit; Kollmannsberger, Christian; Mushiroda, Taisei; Kubo, Michiaki; Hannigan, Robyn; Strathmann, Frederick; Einhorn, Lawrence H.; Fossa, Sophie D.; Travis, Lois B.; Dolan, M. Eileen; Medicine, School of Medicine
    Purpose: Serum platinum is measurable for years after completion of cisplatin-based chemotherapy (CBC). We report the largest investigation of serum platinum levels to date of 1,010 testicular cancer survivors (TCS) assessed 1-35 years after CBC and evaluate genetic contributions to these levels. Experimental Design: Eligible TCS given 300 or 400 (±15) mg/m2 cisplatin underwent extensive audiometric testing, clinical examination, completed questionnaires and had crude serum platinum levels measured. Associations between serum platinum and various risk factors and toxicities were assessed after fitting a bi-exponential model adjusted for follow-up time and cumulative cisplatin dose. A genome-wide association study (GWAS) was performed using the serum platinum residuals of the dose and time-adjusted model. Results: Serum platinum levels exceeded the reference range for approximately 31 years, with a strong inverse relationship with creatinine clearance at follow-up (age-adjusted p = 2.13×10−3). We observed a significant, positive association between residual platinum values and luteinizing hormone (age-adjusted p=6.58×10−3). Patients with high residual platinum levels experienced greater Raynaud’s phenomenon than those with medium or low levels (age-adjusted ORhigh/low = 1.46; p = 0.04), as well as a higher likelihood of developing tinnitus (age-adjusted ORhigh/low = 1.68, p = 0.07). GWAS identified one single nucleotide polymorphism (SNP) meeting genome-wide significance rs1377817 (p=4.6×10−8, a SNP intronic to MYH14). Conclusions: This study indicates that residual platinum values are correlated with several cisplatin-related toxicities. One genetic variant is associated with these levels.
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    Correction: Bevacizumab-induced hypertension and proteinuria: a genome-wide study of more than 1000 patients
    (Springer Nature, 2022) Quintanilha, Julia C.F.; Wang, Jin; Sibley, Alexander B.; Jiang, Chen; Etheridge, Amy S.; Shen, Fei; Jiang, Guanglong; Mulkey, Flora; Patel, Jai N.; Hertz, Daniel L.; Dees, Elizabeth Claire; McLeod, Howard L.; Bertagnolli, Monica; Rugo, Hope; Kindler, Hedy L.; Kelly, William Kevin; Ratain, Mark J.; Kroetz, Deanna L.; Owzar, Kouros; Schneider, Bryan P.; Lin, Danyu; Innocenti, Federico; Medicine, School of Medicine
    Correction to: British Journal of Cancer 10.1038/s41416-021-01557-w, published online 06 October 2021 The original version of this article unfortunately contained a mistake in an author affiliation. Dr. Kouros Owzar was listed as “Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA”, when it should be “Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA”. The original article has been corrected.
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    Genome-Wide Meta-Analysis Validates a Role for S1PR1 in Microtubule Targeting Agent-Induced Sensory Peripheral Neuropathy
    (Wiley, 2020-09) Chua, Katherina C.; Xiong, Chenling; Ho, Carol; Mushiroda, Taisei; Jiang, Chen; Mulkey, Flora; Lai, Dongbing; Schneider, Bryan P.; Rashkin, Sara R.; Witte, John S.; Friedman, Paula N.; Ratain, Mark J.; McLeod, Howard L.; Rugo, Hope S.; Shulman, Lawrence N.; Kubo, Michiaki; Owzar, Kouros; Kroetz, Deanna L.; Medical and Molecular Genetics, School of Medicine
    Microtubule targeting agents (MTAs) are anticancer therapies commonly prescribed for breast cancer and other solid tumors. Sensory peripheral neuropathy (PN) is the major dose-limiting toxicity for MTAs and can limit clinical efficacy. The current pharmacogenomic study aimed to identify genetic variations that explain patient susceptibility and drive mechanisms underlying development of MTA-induced PN. A meta-analysis of genome-wide association studies (GWAS) from two clinical cohorts treated with MTAs (CALGB 40502 and CALGB 40101) was conducted using a Cox regression model with cumulative dose to first instance of grade 2 or higher PN. Summary statistics from a GWAS of European subjects (n = 469) in CALGB 40502 that estimated cause-specific risk of PN were meta-analyzed with those from a previously published GWAS of European ancestry (n = 855) from CALGB 40101 that estimated the risk of PN. Novel single nucleotide polymorphisms in an enhancer region downstream of sphingosine-1-phosphate receptor 1 (S1PR1 encoding S1PR1; e.g., rs74497159, βCALGB 40101 per allele log hazard ratio (95% CI) = 0.591 (0.254 – 0.928), βCALGB 40502 per allele log hazard ratio (95% CI) = 0.693 (0.334 – 1.053); PMETA = 3.62×10−7) were the most highly ranked associations based on P-values with risk of developing grade 2 and higher PN. In silico functional analysis identified multiple regulatory elements and potential enhancer activity for S1PR1 within this genomic region. Inhibition of S1PR1 function in iPSC-derived human sensory neurons shows partial protection against paclitaxel-induced neurite damage. These pharmacogenetic findings further support ongoing clinical evaluations to target S1PR1 as a therapeutic strategy for prevention and/or treatment of MTA-induced neuropathy.
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    Identification of a Genomic Region Between SLC29A1 and HSP90AB1 Associated With Risk of Bevacizumab-Induced Hypertension: CALGB 80405 (Alliance)
    (American Association for Cancer Research, 2019-10-01) Li, Megan; Mulkey, Flora; Jiang, Chen; O’Neil, Bert H.; Schneider, Bryan P.; Shen, Fei; Friedman, Paula N.; Momozawa, Yukihide; Kubo, Michiaki; Niedzwiecki, Donna; Hochster, Howard S.; Lenz, Heinz-Josef; Atkins, James N.; Rugo, Hope S.; Halabi, Susan; Kelly, William Kevin; McLeod, Howard L.; Innocenti, Federico; Ratain, Mark J.; Venook, Alan P.; Owzar, Kouros; Kroetz, Deanna L.; Medicine, School of Medicine
    Purpose: Bevacizumab is a VEGF-specific angiogenesis inhibitor indicated as an adjunct to chemotherapy for the treatment of multiple cancers. Hypertension is commonly observed during bevacizumab treatment, and high-grade toxicity can limit therapy or lead to cardiovascular complications. The factors that contribute to interindividual variability in blood pressure rise during bevacizumab treatment are not well understood.Experimental Design: To identify genomic regions associated with bevacizumab-induced hypertension risk, sequencing of candidate genes and flanking regulatory regions was performed on 61 patients treated with bevacizumab (19 cases developed early-onset grade 3 hypertension and 42 controls had no reported hypertension in the first six cycles of treatment). SNP-based tests for common variant associations and gene-based tests for rare variant associations were performed in 174 candidate genes.Results: Four common variants in independent linkage disequilibrium blocks between SLC29A1 and HSP90AB1 were among the top associations. Validation in larger bevacizumab-treated cohorts supported association between rs9381299 with early grade 3+ hypertension (P = 0.01; OR, 2.4) and systolic blood pressure >180 mm Hg (P = 0.02; OR, 2.1). rs834576 was associated with early grade 3+ hypertension in CALGB 40502 (P = 0.03; OR, 2.9). These SNP regions are enriched for regulatory elements that may potentially increase gene expression. In vitro overexpression of SLC29A1 in human endothelial cells disrupted adenosine signaling and reduced nitric oxide levels that were further lowered upon bevacizumab exposure.Conclusions: The genomic region between SLC29A1 and HSP90AB1 and its role in regulating adenosine signaling are key targets for further investigation into the pathogenesis of bevacizumab-induced hypertension.
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    A pharmacodynamic study of sirolimus and metformin in patients with advanced solid tumors
    (Springer, 2018-08) Sehdev, Amikar; Karrison, Theodore; Zha, Yuanyuan; Janisch, Linda; Turcich, Michelle; Cohen, Ezra E. W.; Maitland, Michael; Polite, Blase N.; Gajewski, Thomas F.; Salgia, Ravi; Pinto, Navin; Bissonnette, Marc B.; Fleming, Gini F.; Ratain, Mark J.; Sharma, Manish R.; Medicine, School of Medicine
    Background Sirolimus is a mammalian target of rapamycin (mTOR) inhibitor. Metformin may potentiate mTOR inhibition by sirolimus while mitigating its adverse effects. We conducted a pilot study to test this hypothesis. Methods Patients with advanced solid tumor were treated with sirolimus for 7 days followed by randomization to either sirolimus with metformin (Arm A) or sirolimus (Arm B) until day 21. From day 22 onwards, all patients received sirolimus and metformin. The primary aim was to compare the change in phospho-p70S6K (pp70S6K) in peripheral blood mononuclear cells (PBMC) from day 8 to day 22 using a two-sample t test. Secondary aims were objective response rate, toxicity, and other serum pharmacodynamic biomarkers (e.g., fasting glucose, triglycerides, insulin, C-peptide, IGF-1, IGF-1R, IGF-BP, and leptin). Results 24 patients were enrolled, with 18 evaluable for the primary endpoint. There was no significant difference in mean change in pp70S6K in arm A vs. arm B (− 0.12 vs. − 0.16; P = 0.64). Similarly, there were no significant differences in other serum pharmacodynamic biomarkers. There were no partial responses. There were no dose-limiting or unexpected toxicities. Conclusions Adding metformin to sirolimus, although well tolerated, was not associated with significant changes in pp70S6K in PBMC or other serum pharmacodynamic biomarkers. Impact: Combining metformin with sirolimus did not improve mTOR inhibition.