Factors predicting survival in peripheral T-cell lymphoma in the USA: A population-based analysis of 8802 patients in the modern era

Adam M. Petrich, Irene B. Helenowski, Locke J. Bryan, Shaina A. Rozell, Robert Galamaga, Chadi Nabhan

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Summary: Current prognostic models for peripheral T-cell lymphoma (PTCL) have multiple limitations, and questions exist regarding applicability to current patients. We utilized the Surveillance Epidemiology and End Results (SEER)-18 database to evaluate factors affecting overall survival (OS) of PTCL in the modern era and identified 8802 patients between 2000-2010. Most subtypes of PTCL increased in incidence during the study period. In univariate analyses, age >55 years, black race, advanced stage, absence of extra-nodal disease, omission of radiation therapy (RT) and high-risk histology each predicted inferior OS (P < 0·0001). Multivariate analysis (MVA) demonstrated that hepatosplenic, enteropathy-associated and extra-nodal Natural Killer/T cell histologies, each had hazard ratios >1·5 (P ≤ 0·0001) for death. Further, age ≥55 years, black race and advanced stage maintained their significance in the MVA (P < 0·0001 each). Based on the significant factors, a prognostic model was constructed and subsequently validated in an independent cohort. The new model incorporated age, stage, histology and race, with an OS ranging from 9 months (highest risk group) to 120 months (lowest risk group). In summary, this is the largest study of PTCL patients in the modern era that provides risk stratification utilizing a new prognostic model that can be incorporated into future prospective clinical trials.

Original languageEnglish (US)
Pages (from-to)708-718
Number of pages11
JournalBritish Journal of Haematology
Volume168
Issue number5
DOIs
StatePublished - Mar 1 2015
Externally publishedYes

Keywords

  • Histopathology
  • Prognostic factors
  • Radiotherapy
  • T-cell lymphoma

ASJC Scopus subject areas

  • Hematology

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