Objectives: To validate the predictive value on time to first treatment (TTFT) of AIPS-E and IPS-E evaluated in an independent cohort of newly diagnosed and non-referred Binet stage A CLL patients enrolled in the O-CLL1-GISL protocol (clinicaltrial.gov identifier: NCT00917540).
Methods: A cohort of 292 newly diagnosed Binet A CLL cases has been enrolled in the study. Patients from several Italian Institutions were prospectively enrolled within 12 months of diagnosis into the O-CLL1-GISL protocol.
Results: The majority of patients were male (62%); median age was 60.4 years, 102 cases (34.9%) showed unmutated IGHV genes, 8 cases (2.8) the presence of del(11q)/del(17p), 142 cases (48.6%) the presence of palpable lymph nodes and 146 cases (50%) and ALC > 15 × 109 /l. After a median follow-up of 7.2 years, 130 patients underwent treatment. According to the AIPS-E, 96 patients were classified as low-risk, 128 as intermediate-risk, and 68 as high-risk. These groups showed significant differences in terms of TTFT. The C-statistic was 0.71 (P < .0001) for predicting TTFT. According to IPS-E, 77 patients were classified as low-risk, 135 as intermediate-risk, and 80 as high-risk. These groups showed significant differences in terms of TTFT. The C-statistic was 0.705 (P < .0001) for predicting TTFT.
Conclusions: Our data confirm an accurate prognostic utility of both AIPS-E and IPS-E at the individual patient level. These data may be useful for a precise stratification of early-stage patients.
Keywords: AIPS-E; CLL; TTFT; early stage; prognosis.
© 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.