title: Prognostic factors for hematologic cancers.
abstract: This article reviews the molecular biology of hematologic cancers and the current understanding of prognostic factors for these cancers. Specific molecular biomarkers that have potential as prognostic factors for various hematologic cancers are discussed. Quantitative and statistical methods of evaluating the usefulness of prognostic factors are presented.
authors.affiliation: Cancer Prevention Fellowship Program, National Cancer Institute, Bethesda, Maryland, USA.
authors.forename: R R
authors.initials: RR
authors.lastname: Misra
authors.forename: P F
authors.initials: PF
authors.lastname: Pinsky
authors.forename: S
authors.initials: S
authors.lastname: Srivastava
mesh_terms: D014408:Biomarkers, Tumor; D002869:Chromosome Aberrations; D005069:Evaluation Studies as Topic; D005544:Forecasting; D020869:Gene Expression Profiling; D020022:Genetic Predisposition to Disease; D019337:Hematologic Neoplasms / Q000453:epidemiology / Q000235:genetics / Q000401:mortality*; D006689:Hodgkin Disease / Q000235:genetics / Q000401:mortality; D006801:Humans; D015994:Incidence; D007938:Leukemia / Q000145:classification / Q000235:genetics / Q000401:mortality; D016015:Logistic Models; D008228:Lymphoma, Non-Hodgkin / Q000235:genetics / Q000401:mortality; D009017:Morbidity / Q000639:trends; D009101:Multiple Myeloma / Q000235:genetics / Q000401:mortality; D016609:Neoplasms, Second Primary / Q000453:epidemiology; D009386:Neoplastic Syndromes, Hereditary / Q000453:epidemiology; D009857:Oncogenes; D017063:Outcome Assessment, Health Care / Q000379:methods / Q000706:statistics & numerical data; D011379:Prognosis; D016016:Proportional Hazards Models; D012372:ROC Curve; D015203:Reproducibility of Results; D016019:Survival Analysis; D014412:Tumor Virus Infections / Q000453:epidemiology
chemical_list: D014408:Biomarkers, Tumor