Literature DB >> 34614146

Validation of POD24 as a robust early clinical end point of poor survival in FL from 5225 patients on 13 clinical trials.

Carla Casulo1, Jesse G Dixon2, Jennifer Le-Rademacher2, Eva Hoster3, Howard S Hochster4, Wolfgang Hiddemann5, Robert Marcus6, Eva Kimby7, Michael Herold8, Catherine Sebban9, Emmanuel Gyan10, Kenneth Foon11, Tina Nielsen12, Umberto Vitolo13, Gilles A Salles14, Qian Shi2, Christopher R Flowers15.   

Abstract

Observational studies and stand-alone trials indicate that patients with follicular lymphoma (FL) who experience disease progression within 24 months of front-line chemoimmunotherapy (POD24), have poor outcomes. We performed a pooled analysis of 13 randomized clinical trials of patients with FL in the pre- and postrituximab eras to identify clinical factors that predict POD24. Logistic regression models evaluated the association between clinical factors and POD24. Cox regression evaluated the association between POD24 as a time-dependent factor and subsequent overall survival (OS). A landmark analysis evaluated the association of POD24 with OS for the subset of patients who were alive at 24 months after trial registration. Patients without progression at 24 months at baseline had favorable performance status (PS), limited-stage (I/II) disease, low-risk FL International Prognostic Index (FLIPI) score, normal baseline hemoglobin, and normal baseline β2 microglobulin (B2M) level. In a multivariable logistic regression model, male sex (odds ratio [OR], 1.30), PS ≥2 (OR, 1.63), B2M (≥3 mg/L; OR, 1.43), and high-risk FLIPI score (3-5; OR, 3.14) were associated with increased risk of progression before 24 months. In the time-dependent Cox model and the 24-month landmark analysis, POD24 was associated with poor subsequent OS (hazard ratio, 4.85 and 3.06, respectively). This is the largest pooled analysis of clinical trials data validating POD24 as a robust indicator of poor FL survival and identified clinical predictors of early death and progression that can aid in building comprehensive prognostic models incorporating clinical and molecular predictors of POD24.
© 2022 by The American Society of Hematology.

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Year:  2022        PMID: 34614146     DOI: 10.1182/blood.2020010263

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  4 in total

1.  Novel prognostic tools that identify high-risk follicular lymphoma.

Authors:  Stefano Luminari
Journal:  Hemasphere       Date:  2019-06-30

2.  Revealing the evolution of the tumor immune microenvironment in follicular lymphoma patients progressing within 24 months using single-cell imaging mass cytometry.

Authors:  Long Liu; Xingxing Yu; Zhifeng Li; Xiaohua He; Jie Zha; Zhijuan Lin; Yan Hong; Huijian Zheng; Qian Lai; Kaiyang Ding; Xian Jia; Guo Fu; Haifeng Yu; Haiyan Yang; Zhiming Li; Ken H Young; Bing Xu
Journal:  J Hematol Oncol       Date:  2022-08-22       Impact factor: 23.168

3.  Survival Outcomes of Patients with Follicular Lymphoma after Relapse or Progression: A Single-Center Real-World Data Analysis.

Authors:  Yong-Pyo Lee; Min-Sang Lee; Sang Eun Yoon; Junhun Cho; Yeong Hak Bang; Joon Ho Shim; Won Seog Kim; Seok Jin Kim
Journal:  J Oncol       Date:  2022-09-26       Impact factor: 4.501

4.  Immune infiltrate diversity confers a good prognosis in follicular lymphoma.

Authors:  Richard Byers; Kim Linton; Anna-Maria Tsakiroglou; Susan Astley; Manàs Dave; Martin Fergie; Elaine Harkness; Adeline Rosenberg; Matthew Sperrin; Catharine West
Journal:  Cancer Immunol Immunother       Date:  2021-04-30       Impact factor: 6.968

  4 in total

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