Irina Ostrovnaya

Summary

Affiliation: Memorial Sloan-Kettering Cancer Center
Country: USA

Publications

  1. ncbi Comparison of properties of tests for assessing tumor clonality
    Irina Ostrovnaya
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York 10021, USA
    Biometrics 64:1018-22. 2008
  2. ncbi Clonality: an R package for testing clonal relatedness of two tumors from the same patient based on their genomic profiles
    Irina Ostrovnaya
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
    Bioinformatics 27:1698-9. 2011
  3. ncbi A classification model for distinguishing copy number variants from cancer-related alterations
    Irina Ostrovnaya
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
    BMC Bioinformatics 11:297. 2010
  4. ncbi A metastasis or a second independent cancer? Evaluating the clonal origin of tumors using array copy number data
    Irina Ostrovnaya
    Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA
    Stat Med 29:1608-21. 2010
  5. ncbi Prognostic model for predicting survival of patients with metastatic urothelial cancer treated with Cisplatin-based chemotherapy
    Andrea B Apolo
    Genitourinary Oncology Service, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065
    J Natl Cancer Inst 105:499-503. 2013
  6. ncbi Phase II study of gemcitabine, carboplatin, and bevacizumab in patients with advanced unresectable or metastatic urothelial cancer
    Arjun V Balar
    Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA
    J Clin Oncol 31:724-30. 2013
  7. ncbi Testing clonal relatedness of tumors using array comparative genomic hybridization: a statistical challenge
    Irina Ostrovnaya
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York 10021, USA
    Clin Cancer Res 16:1358-67. 2010
  8. ncbi Estimating the dose-toxicity curve in completed phase I studies
    Alexia Iasonos
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
    Stat Med 30:2117-29. 2011
  9. ncbi Genome sequencing identifies a basis for everolimus sensitivity
    Gopa Iyer
    Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
    Science 338:221. 2012
  10. ncbi Genomic and mutational profiling to assess clonal relationships between multiple non-small cell lung cancers
    Nicolas Girard
    Pao Lab, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York 10021, USA
    Clin Cancer Res 15:5184-90. 2009

Collaborators

  • Colin Begg
  • Alexia Iasonos
  • Dean F Bajorin
  • Adam B Olshen
  • Jonathan E Rosenberg
  • Barry S Taylor
  • Achim A Jungbluth
  • Marianne Berwick
  • M Ladanyi
  • Andrea B Apolo
  • Matthew I Milowsky
  • Irene Orlow
  • Arjun V Balar
  • Gopa Iyer
  • Nicolas Girard
  • George K Philips
  • Ashley M Regazzi
  • Alisa Trout
  • Eric J Small
  • Ilana R Garcia-Grossman
  • Susan Halabi
  • David J Gallagher
  • Jamie Riches
  • Svetlana Mironov
  • Manickam Janakiraman
  • Nicholas D Socci
  • Chris Sander
  • Hikmat Al-Ahmadie
  • Timothy A Chan
  • Michael F Berger
  • Adriana Heguy
  • Luke Peng
  • Bernard Bochner
  • Sasinya N Scott
  • David B Solit
  • Aphrothiti J Hanrahan
  • Agnes Viale
  • Mono Pirun
  • Bruce K Armstrong
  • Charuhas Deshpande
  • Diana V Tommasi
  • John F Thompson
  • Nancy E Thomas
  • Klaus J Busam
  • David Finley
  • Urvi Mujumdar
  • Valerie Rusch
  • Bradley Bloom
  • William Pao
  • Richard A Scolyer
  • William D Travis
  • Bernard Park
  • Javier Cotignola
  • Christopher Lau

Detail Information

Publications11

  1. ncbi Comparison of properties of tests for assessing tumor clonality
    Irina Ostrovnaya
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York 10021, USA
    Biometrics 64:1018-22. 2008
    ..Much of the efficiency deficit can be recovered, however, by restricting the allelic imbalance parameter estimate to a prespecified range, assuming that this parameter is in the prespecified range...
  2. ncbi Clonality: an R package for testing clonal relatedness of two tumors from the same patient based on their genomic profiles
    Irina Ostrovnaya
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
    Bioinformatics 27:1698-9. 2011
    ..AVAILABILITY: Bioconductor (http://bioconductor.org/packages/release/bioc/html/Clonality.html) and http://www.mskcc.org/mskcc/html/13287.cfm...
  3. ncbi A classification model for distinguishing copy number variants from cancer-related alterations
    Irina Ostrovnaya
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
    BMC Bioinformatics 11:297. 2010
    ..In order to identify important cancer genes CNAs and CNVs must be distinguished. Although the Database of Genomic Variants (DGV) contains a list of all known CNVs, there is no standard methodology to use the database effectively...
  4. ncbi A metastasis or a second independent cancer? Evaluating the clonal origin of tumors using array copy number data
    Irina Ostrovnaya
    Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA
    Stat Med 29:1608-21. 2010
    ..Our data analyses show that in many cases a strong clonal signal emerges. Sensitivity analyses show that most of the diagnoses are robust when the data are of high quality...
  5. ncbi Prognostic model for predicting survival of patients with metastatic urothelial cancer treated with Cisplatin-based chemotherapy
    Andrea B Apolo
    Genitourinary Oncology Service, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065
    J Natl Cancer Inst 105:499-503. 2013
    ..69) and 0.58 (95% CI = 0.52 to 0.65), respectively, with superiority of the four-variable model compared with the MSKCC risk-score model for OS (the U statistic and its standard deviation were used to calculate the two-sided P = .02)...
  6. ncbi Phase II study of gemcitabine, carboplatin, and bevacizumab in patients with advanced unresectable or metastatic urothelial cancer
    Arjun V Balar
    Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA
    J Clin Oncol 31:724-30. 2013
    ..This trial evaluated the efficacy and safety of bevacizumab with GCa in advanced UC...
  7. ncbi Testing clonal relatedness of tumors using array comparative genomic hybridization: a statistical challenge
    Irina Ostrovnaya
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York 10021, USA
    Clin Cancer Res 16:1358-67. 2010
    ....
  8. ncbi Estimating the dose-toxicity curve in completed phase I studies
    Alexia Iasonos
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
    Stat Med 30:2117-29. 2011
    ..Confidence intervals around the toxicity probabilities at each dose level are estimated using the cumulative toxicity data. A programming code is included...
  9. ncbi Genome sequencing identifies a basis for everolimus sensitivity
    Gopa Iyer
    Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
    Science 338:221. 2012
    ....
  10. ncbi Genomic and mutational profiling to assess clonal relationships between multiple non-small cell lung cancers
    Nicolas Girard
    Pao Lab, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York 10021, USA
    Clin Cancer Res 15:5184-90. 2009
    ..Decisions are currently made using the Martini and Melamed criteria, which are mostly based on tumor location and histologic type. New genomic tools could improve the ability to assess tumor clonality...
  11. ncbi Evaluation of the clonal origin of multiple primary melanomas using molecular profiling
    Irene Orlow
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
    J Invest Dermatol 129:1972-82. 2009
    ....