Grant Details
Grant Number: |
1R01CA132946-01 Interpret this number |
Primary Investigator: |
Lamba, Jatinder |
Organization: |
St. Jude Children'S Research Hospital |
Project Title: |
Pharmacogenetics of Ara-C Metabolic Pathway |
Fiscal Year: |
2008 |
Abstract
DESCRIPTION (provided by applicant): The nucleoside analog cytarabine (ara-C) has been the mainstay of acute myeloid leukemia (AML) chemotherapy for more than 40 years and is one of the most important drugs used to induce remission in patients with AML. A number of studies suggest that the intracellular concentration of its active metabolite, ara-CTP, varies widely among patients and in turn is associated with variability in clinical response. The objective of the current proposal is to determine the molecular basis of this variation in intracellular ara-CTP levels by identifying and evaluating the pharmacogenomic effect of genetic polymorphisms in key genes in the ara-C metabolic pathway, with the long-term goal of explaining the variability observed in treatment response and toxicity profile among AML patients receiving ara-C chemotherapy. The hypothesis of this research is that genetic polymorphisms in key genes in the ara-C metabolic pathway -specifically: deoxycytidine kinase (DCK, a rate limiting activating enzyme); 5'nucleotidase (NT5C2), deoxycytidine deaminase (CDA), and deoxycytidylate deaminase (DCTD) (3 main inactivating enzymes); human equilibrative nucleoside transporter (hENT1/ SLC29A1, ara-C uptake transporter); and ribonucleotide reductase (enzyme regulating intracellular dCTP pools, and consisting of RRM1 and RRM2 subunits) -form the molecular basis of the inter-patient variability observed in intracellular ara-CTP concentration and sensitivity to ara-C. This hypothesis is based on the observations that the above mentioned candidate genes have been shown by various in vitro and in vivo studies to be associated with the clinical response and/or sensitivity to ara-C and demonstrate a wide inter- patient variability in their expression. The specific aims of the proposed research are: 1) To identify and functionally characterize the coding genetic polymorphisms in key ara-C metabolic pathway genes in lymphoblast samples with European (CEPH) or African (YRI) ancestry; 2) To identify and characterize regulatory cis-genetic polymorphisms associated with mRNA expression of the candidate genes; and 3) To determine the association of functionally significant genetic polymorphisms in the candidate genes with clinical phenotypes such as candidate gene expression and ara-C sensitivity in diagnostic blasts, and intracellular ara- CTP levels and the extent of DNA synthesis inhibition in post ara-C treatment leukemic blasts from pediatric AML patients enrolled in the St. Jude AML2002 protocol. The use of CEPH and YRI samples will allow us to use HAPMAP genotype data and to study any ethnic differences in genotype frequencies and in candidate gene expression. The results from this study would also be applicable to other nucleoside analogs such as gemcitabine, decitabine, clofarabine, etc. that are metabolized by the same pathway. Understanding genetic variation in the key candidate genes involved in the metabolism of ara-C will provide us an opportunity to identify patients at increased risk of adverse reactions or decreased likelihood of response, based upon their genetic profile, which in future could help in dose optimization to reduce drug toxicity without compromising on efficacy. Relevance Statement: Acute myeloid leukemia (AML) is the second most common childhood leukemia and has the worst outcome of all major childhood cancers. Ara-C is the main drug used in AML chemotherapy but the cellular levels of its active form, ara-CTP, vary widely among patients and in turn are associated with variability in clinical response to ara-C treatment. The proposed research seeks to explain this variability by studying the inherited genetic variation in key genes involved in ara-C metabolism and may, in future, help to optimize ara-C dosing based on patient genetics.
Publications
Bootstrap Evaluation of Association Matrices (BEAM) for Integrating Multiple Omics Profiles with Multiple Outcomes.
Authors: Seffernick A.E.
, Cao X.
, Cheng C.
, Yang W.
, Autry R.J.
, Yang J.J.
, Pui C.H.
, Teachey D.T.
, Lamba J.K.
, Mullighan C.G.
, et al.
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Source: Biorxiv : The Preprint Server For Biology, 2024-08-03 00:00:00.0; , .
EPub date: 2024-08-03 00:00:00.0.
PMID: 39131398
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Authors: H Elsayed A.
, Cao X.
, Marrero R.J.
, Nguyen N.H.K.
, Wu H.
, Ni Y.
, Ribeiro R.C.
, Tobias H.
, Valk P.J.
, BĂ©liveau F.
, et al.
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Source: Npj Precision Oncology, 2024-08-01 00:00:00.0; 8(1), p. 168.
EPub date: 2024-08-01 00:00:00.0.
PMID: 39090192
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Pharmacogenomic Score Effectively Personalizes Treatment of Acute Myeloid Leukemia.
Authors: Marrero R.J.
, Wu H.
, Cao X.
, Parcha P.K.
, Elsayed A.H.
, Inaba H.
, Kuo D.J.
, Degar B.A.
, Heym K.
, Taub J.W.
, et al.
.
Source: Clinical Cancer Research : An Official Journal Of The American Association For Cancer Research, 2024-07-30 00:00:00.0; , .
EPub date: 2024-07-30 00:00:00.0.
PMID: 39078289
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Current Landscape of Genome-Wide Association Studies in Acute Myeloid Leukemia: A Review.
Authors: Marrero R.J.
, Lamba J.K.
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Source: Cancers, 2023-07-12 00:00:00.0; 15(14), .
EPub date: 2023-07-12 00:00:00.0.
PMID: 37509244
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Genome-wide CRISPR/Cas9 screen identifies etoposide response modulators associated with clinical outcomes in pediatric AML.
Authors: Nguyen N.H.K.
, Rafiee R.
, Tagmount A.
, Sobh A.
, Loguinov A.
, de Jesus Sosa A.K.
, Elsayed A.H.
, Gbadamosi M.
, Seligson N.
, Cogle C.R.
, et al.
.
Source: Blood Advances, 2023-05-09 00:00:00.0; 7(9), p. 1769-1783.
PMID: 36111891
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Polygenic Pharmacogenomic Markers as Predictors of Toxicity Phenotypes in the Treatment of Acute Lymphoblastic Leukemia: A Single-Center Study.
Authors: Larkin T.
, Kashif R.
, Elsayed A.H.
, Greer B.
, Mangrola K.
, Raffiee R.
, Nguyen N.
, Shastri V.
, Horn B.
, Lamba J.K.
.
Source: Jco Precision Oncology, 2023 Mar; 7, p. e2200580.
PMID: 36952646
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SAMHD1 Single Nucleotide Polymorphisms Impact Outcome in Children with Newly Diagnosed Acute Myeloid Leukemia.
Authors: Marrero R.J.
, Cao X.
, Wu H.
, Elsayed A.H.
, Klco J.M.
, Ribeiro R.C.
, Rubnitz J.E.
, Ma X.
, Meshinchi S.
, Aplenc R.
, et al.
.
Source: Blood Advances, 2023-01-23 00:00:00.0; , .
EPub date: 2023-01-23 00:00:00.0.
PMID: 36689724
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Polygenic Ara-C Response Score Identifies Pediatric Patients With Acute Myeloid Leukemia in Need of Chemotherapy Augmentation.
Authors: Elsayed A.H.
, Cao X.
, Mitra A.K.
, Wu H.
, Raimondi S.
, Cogle C.
, Al-Mansour Z.
, Ribeiro R.C.
, Gamis A.
, Kolb E.A.
, et al.
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Source: Journal Of Clinical Oncology : Official Journal Of The American Society Of Clinical Oncology, 2022-03-01 00:00:00.0; 40(7), p. 772-783.
EPub date: 2022-01-06 00:00:00.0.
PMID: 34990262
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Proteomics: a new era in pediatric acute myeloid leukemia research.
Authors: Lamba J.K.
, Pounds S.
.
Source: Haematologica, 2022-01-13 00:00:00.0; , .
EPub date: 2022-01-13 00:00:00.0.
PMID: 35021610
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Integrative Genomic Analysis of Pediatric Myeloid-Related Acute Leukemias Identifies Novel Subtypes and Prognostic Indicators.
Authors: Fornerod M.
, Ma J.
, Noort S.
, Liu Y.
, Walsh M.P.
, Shi L.
, Nance S.
, Liu Y.
, Wang Y.
, Song G.
, et al.
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Source: Blood Cancer Discovery, 2021 Nov; 2(6), p. 586-599.
EPub date: 2021-09-09 00:00:00.0.
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Global Proteomic Profiling of Pediatric AML: A Pilot Study.
Authors: Nguyen N.H.K.
, Wu H.
, Tan H.
, Peng J.
, Rubnitz J.E.
, Cao X.
, Pounds S.
, Lamba J.K.
.
Source: Cancers, 2021-06-24 00:00:00.0; 13(13), .
EPub date: 2021-06-24 00:00:00.0.
PMID: 34202615
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DNA Methylation Clusters and Their Relation to Cytogenetic Features in Pediatric AML.
Authors: Lamba J.K.
, Cao X.
, Raimondi S.
, Downing J.
, Ribeiro R.
, Gruber T.A.
, Rubnitz J.
, Pounds S.
.
Source: Cancers, 2020-10-17 00:00:00.0; 12(10), .
EPub date: 2020-10-17 00:00:00.0.
PMID: 33080932
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Correction: A six-gene leukemic stem cell score identifies high risk pediatric acute myeloid leukemia.
Authors: Elsayed A.H.
, Rafiee R.
, Cao X.
, Raimondi S.
, Downing J.R.
, Ribeiro R.
, Fan Y.
, Gruber T.A.
, Baker S.
, Klco J.
, et al.
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Source: Leukemia, 2020 Oct; 34(10), p. 2821.
PMID: 32300185
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DNA Methylation-Based Epigenetic Repression of SLC22A4 Promotes Resistance to Cytarabine in Acute Myeloid Leukemia.
Authors: Buelow D.R.
, Anderson J.T.
, Pounds S.B.
, Shi L.
, Lamba J.K.
, Hu S.
, Gibson A.A.
, Goodwin E.A.
, Sparreboom A.
, Baker S.D.
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Source: Clinical And Translational Science, 2020-09-09 00:00:00.0; , .
EPub date: 2020-09-09 00:00:00.0.
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A six-gene leukemic stem cell score identifies high risk pediatric acute myeloid leukemia.
Authors: Elsayed A.H.
, Rafiee R.
, Cao X.
, Raimondi S.
, Downing J.R.
, Ribeiro R.
, Fan Y.
, Gruber T.A.
, Baker S.
, Klco J.
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Source: Leukemia, 2020 Mar; 34(3), p. 735-745.
EPub date: 2019-10-23 00:00:00.0.
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CCGG deletion (rs201074739) in CD33 results in premature termination codon and complete loss of CD33 expression: another key variant with potential impact on response to CD33-directed agents.
Authors: Papageorgiou I.
, Loken M.R.
, Brodersen L.E.
, Gbadamosi M.
, Uy G.L.
, Meshinchi S.
, Lamba J.K.
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Source: Leukemia & Lymphoma, 2019 09; 60(9), p. 2287-2290.
EPub date: 2019-02-05 00:00:00.0.
PMID: 30721105
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A genomics-informed computational biology platform prospectively predicts treatment responses in AML and MDS patients.
Authors: Drusbosky L.M.
, Singh N.K.
, Hawkins K.E.
, Salan C.
, Turcotte M.
, Wise E.A.
, Meacham A.
, Vijay V.
, Anderson G.G.
, Kim C.C.
, et al.
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Source: Blood Advances, 2019-06-25 00:00:00.0; 3(12), p. 1837-1847.
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ABCB1 SNP predicts outcome in patients with acute myeloid leukemia treated with Gemtuzumab ozogamicin: a report from Children's Oncology Group AAML0531 Trial.
Authors: Rafiee R.
, Chauhan L.
, Alonzo T.A.
, Wang Y.C.
, Elmasry A.
, Loken M.R.
, Pollard J.
, Aplenc R.
, Raimondi S.
, Hirsch B.A.
, et al.
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Source: Blood Cancer Journal, 2019-05-21 00:00:00.0; 9(6), p. 51.
EPub date: 2019-05-21 00:00:00.0.
PMID: 31113932
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MicroRNAs Mediated Regulation of Expression of Nucleoside Analog Pathway Genes in Acute Myeloid Leukemia.
Authors: Bhise N.S.
, Elsayed A.H.
, Cao X.
, Pounds S.
, Lamba J.K.
.
Source: Genes, 2019-04-24 00:00:00.0; 10(4), .
EPub date: 2019-04-24 00:00:00.0.
PMID: 31022985
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Gemtuzumab ozogamicin for treatment of newly diagnosed CD33-positive acute myeloid leukemia.
Authors: Gbadamosi M.
, Meshinchi S.
, Lamba J.K.
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Source: Future Oncology (london, England), 2018 Dec; 14(30), p. 3199-3213.
EPub date: 2018-07-24 00:00:00.0.
PMID: 30039981
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leukemic cell sensitivity to cytarabine in pediatric AML.
Authors: Bargal S.A.
, Rafiee R.
, Crews K.R.
, Wu H.
, Cao X.
, Rubnitz J.E.
, Ribeiro R.C.
, Downing J.R.
, Pounds S.B.
, Lamba J.K.
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Source: Oncotarget, 2018-10-09 00:00:00.0; 9(79), p. 34859-34875.
EPub date: 2018-10-09 00:00:00.0.
PMID: 30405880
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Comprehensive Ara-C SNP score predicts leukemic cell intracellular ara-CTP levels in pediatric acute myeloid leukemia patients.
Authors: Elsayed A.H.
, Cao X.
, Crews K.R.
, Gandhi V.
, Plunkett W.
, Rubnitz J.E.
, Ribeiro R.C.
, Pounds S.B.
, Lamba J.K.
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Source: Pharmacogenomics, 2018-09-01 00:00:00.0; 19(14), p. 1101-1110.
EPub date: 2018-08-08 00:00:00.0.
PMID: 30088438
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Correction: Integrated epigenetic and genetic analysis identifies markers of prognostic significance in pediatric acute myeloid leukemia.
Authors: Lamba J.K.
, Cao X.
, Raimondi S.C.
, Rafiee R.
, Downing J.R.
, Shi L.
, Gruber T.
, Ribeiro R.C.
, Rubnitz J.E.
, Pounds S.B.
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Source: Oncotarget, 2018-07-13 00:00:00.0; 9(54), p. 30473.
EPub date: 2018-07-13 00:00:00.0.
PMID: 30101002
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Integrated epigenetic and genetic analysis identifies markers of prognostic significance in pediatric acute myeloid leukemia.
Authors: Lamba J.K.
, Cao X.
, Raimondi S.C.
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, Downing J.R.
, Lei S.
, Gruber T.
, Ribeiro R.C.
, Rubnitz J.E.
, Pounds S.B.
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Source: Oncotarget, 2018-06-01 00:00:00.0; 9(42), p. 26711-26723.
EPub date: 2018-06-01 00:00:00.0.
PMID: 29928480
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Authors: Stockard B.
, Garrett T.
, Guingab-Cagmat J.
, Meshinchi S.
, Lamba J.
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Source: Scientific Reports, 2018-04-03 00:00:00.0; 8(1), p. 5534.
EPub date: 2018-04-03 00:00:00.0.
PMID: 29615816
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CD33 splicing SNP regulates expression levels of CD33 in normal regenerating monocytes in AML patients.
Authors: Lamba J.K.
, Voigt A.P.
, Chauhan L.
, Shin M.
, Aplenc R.
, Eidenschink Brodersen L.
, Gamis A.S.
, Meshinchi S.
, Loken M.R.
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Source: Leukemia & Lymphoma, 2018-01-10 00:00:00.0; , p. 1-4.
EPub date: 2018-01-10 00:00:00.0.
PMID: 29320902
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Cc-promise Effectively Integrates Two Forms Of Molecular Data With Multiple Biologically Related Endpoints
Authors: Cao X.
, Crews K.R.
, Downing J.
, Lamba J.
, Pounds S.B.
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Source: Bmc Bioinformatics, 2016-10-06 00:00:00.0; 17(Suppl 13), p. 382.
PMID: 27766934
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Clinical significance of in vivo cytarabine-induced gene expression signature in AML.
Authors: Lamba J.K.
, Pounds S.
, Cao X.
, Crews K.R.
, Cogle C.R.
, Bhise N.
, Raimondi S.C.
, Downing J.R.
, Baker S.D.
, Ribeiro R.C.
, et al.
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Source: Leukemia & Lymphoma, 2016; 57(4), p. 909-20.
PMID: 26366682
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Authors: Ghodke-Puranik Y.
, Puranik A.S.
, Shintre P.
, Joshi K.
, Patwardhan B.
, Lamba J.
, Niewold T.B.
, Chopra A.
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Source: Pharmacogenomics, 2015 Dec; 16(18), p. 2019-34.
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Source: Bmc Genomics, 2015-06-30 00:00:00.0; 16, p. 483.
EPub date: 2015-06-30 00:00:00.0.
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Cytochrome P450 2B6*5 Increases Relapse after Cyclophosphamide-Containing Conditioning and Autologous Transplantation for Lymphoma.
Authors: Bachanova V.
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, Lamba V.
, Weisdorf D.J.
, Burns L.J.
, Lamba J.K.
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Source: Biology Of Blood And Marrow Transplantation : Journal Of The American Society For Blood And Marrow Transplantation, 2015 May; 21(5), p. 944-8.
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MicroRNA-mRNA Pairs Associated with Outcome in AML: From In Vitro Cell-Based Studies to AML Patients.
Authors: Bhise N.S.
, Chauhan L.
, Shin M.
, Cao X.
, Pounds S.
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, Lamba J.K.
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Source: Frontiers In Pharmacology, 2015; 6, p. 324.
PMID: 26858643
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A therapeutic trial of decitabine and vorinostat in combination with chemotherapy for relapsed/refractory acute lymphoblastic leukemia.
Authors: Burke M.J.
, Lamba J.K.
, Pounds S.
, Cao X.
, Ghodke-Puranik Y.
, Lindgren B.R.
, Weigel B.J.
, Verneris M.R.
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Source: American Journal Of Hematology, 2014 Sep; 89(9), p. 889-95.
PMID: 24891274
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The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression.
Authors: Pawlikowska I.
, Wu G.
, Edmonson M.
, Liu Z.
, Gruber T.
, Zhang J.
, Pounds S.
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Source: Bioinformatics (oxford, England), 2014-05-15 00:00:00.0; 30(10), p. 1400-8.
EPub date: 2014-05-15 00:00:00.0.
PMID: 24458951
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SLC28A3 genotype and gemcitabine rate of infusion affect dFdCTP metabolite disposition in patients with solid tumours.
Authors: Khatri A.
, Williams B.W.
, Fisher J.
, Brundage R.C.
, Gurvich V.J.
, Lis L.G.
, Skubitz K.M.
, Dudek A.Z.
, Greeno E.W.
, Kratzke R.A.
, et al.
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Source: British Journal Of Cancer, 2014-01-21 00:00:00.0; 110(2), p. 304-12.
EPub date: 2014-01-21 00:00:00.0.
PMID: 24300978
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Genetic variation in platinating agent and taxane pathway genes as predictors of outcome and toxicity in advanced non-small-cell lung cancer.
Authors: Lamba J.K.
, Fridley B.L.
, Ghosh T.M.
, Yu Q.
, Mehta G.
, Gupta P.
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Source: Pharmacogenomics, 2014; 15(12), p. 1565-74.
PMID: 25340731
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RRM1 and RRM2 pharmacogenetics: association with phenotypes in HapMap cell lines and acute myeloid leukemia patients.
Authors: Cao X.
, Mitra A.K.
, Pounds S.
, Crews K.R.
, Gandhi V.
, Plunkett W.
, Dolan M.E.
, Hartford C.
, Raimondi S.
, Campana D.
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Source: Pharmacogenomics, 2013 Sep; 14(12), p. 1449-66.
PMID: 24024897
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Comprehensive genetic analysis of cytarabine sensitivity in a cell-based model identifies polymorphisms associated with outcome in AML patients.
Authors: Gamazon E.R.
, Lamba J.K.
, Pounds S.
, Stark A.L.
, Wheeler H.E.
, Cao X.
, Im H.K.
, Mitra A.K.
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, Ribeiro R.C.
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Source: Blood, 2013-05-23 00:00:00.0; 121(21), p. 4366-76.
EPub date: 2013-05-23 00:00:00.0.
PMID: 23538338
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Valproic acid pathway: pharmacokinetics and pharmacodynamics.
Authors: Ghodke-Puranik Y.
, Thorn C.F.
, Lamba J.K.
, Leeder J.S.
, Song W.
, Birnbaum A.K.
, Altman R.B.
, Klein T.E.
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Source: Pharmacogenetics And Genomics, 2013 Apr; 23(4), p. 236-41.
PMID: 23407051
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Clinical significance of CD33 nonsynonymous single-nucleotide polymorphisms in pediatric patients with acute myeloid leukemia treated with gemtuzumab-ozogamicin-containing chemotherapy.
Authors: Mortland L.
, Alonzo T.A.
, Walter R.B.
, Gerbing R.B.
, Mitra A.K.
, Pollard J.A.
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, Raimondi S.
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Source: Clinical Cancer Research : An Official Journal Of The American Association For Cancer Research, 2013-03-15 00:00:00.0; 19(6), p. 1620-7.
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PMID: 23444229
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PharmGKB summary: zidovudine pathway.
Authors: Ghodke Y.
, Anderson P.L.
, Sangkuhl K.
, Lamba J.
, Altman R.B.
, Klein T.E.
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Source: Pharmacogenetics And Genomics, 2012 Dec; 22(12), p. 891-4.
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Assessment of healthcare students' views on pharmacogenomics at the University of Minnesota.
Authors: Moen M.
, Lamba J.
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Source: Pharmacogenomics, 2012 Oct; 13(13), p. 1537-45.
PMID: 23057552
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Pathway-based pharmacogenomics of gemcitabine pharmacokinetics in patients with solid tumors.
Authors: Mitra A.K.
, Kirstein M.N.
, Khatri A.
, Skubitz K.M.
, Dudek A.Z.
, Greeno E.W.
, Kratzke R.A.
, Lamba J.K.
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Source: Pharmacogenomics, 2012 Jul; 13(9), p. 1009-21.
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Pharmacogenomics of cytarabine in childhood leukemia.
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Source: Pharmacogenomics, 2011 Dec; 12(12), p. 1629-32.
PMID: 22118048
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Genetic variants in cytosolic 5'-nucleotidase II are associated with its expression and cytarabine sensitivity in HapMap cell lines and in patients with acute myeloid leukemia.
Authors: Mitra A.K.
, Crews K.R.
, Pounds S.
, Cao X.
, Feldberg T.
, Ghodke Y.
, Gandhi V.
, Plunkett W.
, Dolan M.E.
, Hartford C.
, et al.
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Source: The Journal Of Pharmacology And Experimental Therapeutics, 2011 Oct; 339(1), p. 9-23.
PMID: 21712425
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Impact of genetic variation in FKBP5 on clinical response in pediatric acute myeloid leukemia patients: a pilot study.
Authors: Mitra A.K.
, Crews K.
, Pounds S.
, Cao X.
, Downing J.R.
, Raimondi S.
, Campana D.
, Ribeiro R.C.
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Identification of predictive markers of cytarabine response in AML by integrative analysis of gene-expression profiles with multiple phenotypes.
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, Gandhi V.
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PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables.
Authors: Pounds S.
, Cheng C.
, Cao X.
, Crews K.R.
, Plunkett W.
, Gandhi V.
, Rubnitz J.
, Ribeiro R.C.
, Downing J.R.
, Lamba J.
.
Source: Bioinformatics (oxford, England), 2009-08-15 00:00:00.0; 25(16), p. 2013-9.
EPub date: 2009-08-15 00:00:00.0.
PMID: 19528086
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