The Connect CLL Registry: final analysis of 1494 patients with chronic lymphocytic leukemia across 199 US sites

Anthony Mato1, Chadi Nabhan2, Nicole Lamanna3

  • 1Memorial Sloan Kettering Cancer Center, New York, NY.

Blood Advances
|April 10, 2020
PubMed

Insights

Optimal chronic lymphocytic leukemia (CLL) treatment varies by therapy line. Bendamustine/rituximab and fludarabine/cyclophosphamide/rituximab showed similar outcomes in first-line therapy. Novel agents improved survival in later lines of therapy for CLL patients.

Area of Science:

  • Hematology
  • Oncology
  • Clinical Trials

Background:

  • Optimal treatment strategies for chronic lymphocytic leukemia (CLL) are not well-defined.
  • Community-based treatment patterns and outcomes for CLL patients are important to understand.
  • The Connect CLL Registry provides real-world data on CLL management in the United States.

Purpose of the Study:

  • To evaluate treatment outcomes based on lines of therapy (LOT) in a large cohort of CLL patients.
  • To compare the effectiveness of common chemotherapy regimens and novel agents in CLL.
  • To identify prognostic factors and adverse events associated with CLL treatment.

Main Methods:

  • Prospective observational cohort study of 1494 CLL patients enrolled between 2010-2014.
  • Patients were grouped by line of therapy (LOT) at enrollment.
  • Analysis included overall survival (OS), event-free survival (EFS), and adverse events.

Main Results:

  • Median OS was not reached in LOT1, 63.0 months in LOT2, and 38.0 months in LOT≥3.
  • Bendamustine/rituximab (BR) and fludarabine/cyclophosphamide/rituximab (FCR) showed similar efficacy in LOT1.
  • Ibrutinib improved OS in LOT2, LOT3, and LOT≥4 compared to other treatments.
  • Pneumonia and febrile neutropenia were the most common adverse events.

Conclusions:

  • First-line FCR advantages seen in trials may not apply to community practice.
  • Novel agents, such as ibrutinib, significantly improved outcomes in later lines of therapy for CLL.
  • Prognostic modeling identified distinct risk groups for mortality at 2 years post-enrollment.

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