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Strati, Paolo

0000-0002-7445-1459

Mayo Clinic

Mayo Clinic College of Medicine, Rochester, MN, USA.

Citations 3

A multicenter retrospective study of polatuzumab vedotin in patients with large B-cell lymphoma after CAR T-cell therapy
Gouni, Sushanth , Crombie, Jennifer L. , Hess, Brian , Watson, Grace, Ayers, Amy , Neelapu, Sattva S. , Khurana, Arushi , Lin, Yi , Strati, Paolo , Rosenthal, Allison C, Neelapu, Sattva S , Khurana, Arushi , Strati, Paolo , Lin, Yi , Rosenthal, Allison , Ip, Andrew , Kamdar, Manali , Feng, Lei , Watson, Grace, Iqbal, Madiha , Merryman, Reid W.

Blood Advances | March 3, 2022 | Volume: 6 | Issue: 9 | Pages: 2757-2762

10.1182/bloodadvances.2021006801 Get It

Abstract Polatuzumab vedotin (PV) is an antibody–drug conjugate targeting CD79b that is approved for patients with relapsed/refractory large B-cell lymphoma (LBCL). Patients who relapse after chimeric antigen receptor (CAR) T-cell therapy were not included in the registration study, and reports of PV use after CAR T cells are limited. This multicenter retrospective analysis included patients with LBCL who relapsed or progressed after CAR T-cell therapy and subsequently received PV with or without rituximab and bendamustine between July 2019 and May 2021. Response to treatment and progression were assessed based on the 2014 Lugano criteria. Fifty-seven patients were included in the study: 18 (32%) patients were primary refractory to CAR T-cell therapy, and 34 (60%) patients received PV-based therapy immediately after CAR T-cell therapy. PV was combined with rituximab in 54 (95%) patients and administered with bendamustine in 35 (61%) patients. A response was achieved in 25 (44%) patients, including complete remission in 8 (14%). No significant association between baseline characteristics and response was observed. After a median follow-up of 47 weeks (95% confidence interval [CI], 40-54), 46 (81%) patients had disease progression or died, and the median progression-free survival was 10 weeks (95% CI, 5-15). On a multivariate analysis, bone marrow involvement (hazard ratio, 5.2; 95% CI, 1.8-15; P = .003) and elevated lactate dehydrogenase levels (hazard ratio, 5.0; 95% CI, 1.4-16; P = .01) were associated with shorter progression-free survival. Studies aimed at better characterizing the intrinsic mechanism of resistance and identifying optimal consolidation strategies for these patients are warranted.
Relationship between co‐morbidities at diagnosis, survival and ultimate cause of death in patients with chronic lymphocytic leukaemia ( CLL ): a prospective cohort study
Chaffee, Kari G. , Call, Timothy G. , Achenbach, Sara J., Rabe, Kari G. , Strati, Paolo , Strati, Paolo , Parikh, Sameer A. , Kay, Neil E. , Cerhan, James R. , Slager, Susan L. , Shanafelt, Tait D.

British Journal of Haematology | June 5, 2017 | Volume: 178 | Issue: 3 | Pages: 394-402

10.1111/bjh.14785 Get It

Summary The ultimate cause of death for most patients with newly diagnosed chronic lymphocytic leukaemia ( CLL ) and its relationship to co‐morbid health conditions is poorly defined. We conducted a prospective cohort study that systematically followed 1143 patients diagnosed with CLL between June 2002 and November 2014. Comorbid health conditions at the time of CLL diagnosis and their relationship to survival and cause of death were evaluated. Collectively, 1061 (93%) patients had at least one co‐morbid health condition at the time of CLL diagnosis (median number 3). Despite this, 89% of patients had a low‐intermediate Charlson Comorbidity Index score ( CCI ) at diagnosis. After a median follow‐up of 6 years, 225 patients have died. Death was due to CLL progression in 85 (46%) patients, infection in 14 (8%) patients, other cancer in 35 (19%) patients and comorbid health conditions in 50 (27%) patients. Higher CCI score and a greater number of major comorbid health conditions at the time of CLL diagnosis was associated with shorter non‐ CLL specific survival, but not with shorter CLL ‐specific survival on multivariate analysis. In conclusion, CLL and CLL ‐related complications (infections and second cancers) are the overwhelming cause of death in patients with CLL , regardless of CCI score and number of comorbid health conditions at diagnosis.
CD49d associates with nodal presentation and subsequent development of lymphadenopathy in patients with chronic lymphocytic leukaemia
Chaffee, Kari G. , Achenbach, Sara J., Call, Timothy G. , Jelinek, Diane F., Hanson, Curtis A. , Rabe, Kari G. , Strati, Paolo , Strati, Paolo , Parikh, Sameer A. , Slager, Susan L. , Ding, Wei , Kay, Neil E. , Shanafelt, Tait D.

British Journal of Haematology | April 7, 2017 | Volume: 178 | Issue: 1 | Pages: 99-105

10.1111/bjh.14647 Get It

SummaryCD49d is a surface integrin that is expressed on chronic lymphocytic leukaemia (CLL) cells, and strongly correlates with more aggressive disease. Given its association with cell‐cell adhesion and leucocyte trafficking, we hypothesized that patients with high CD49d expression would experience a clinical course dominated by lymphadenopathy. CD49d expression was measured by flow cytometry and considered positive if expressed by ≥30% of CLL cells. The study included 797 newly diagnosed CLL/small lymphocytic leukaemia patients; 279 (35%) were CD49d positive. CD49d‐positive patients were more likely to present with lymphadenopathy (P < 0·001); a finding that persisted after adjusting for fluorescence in situ hybridisation (FISH) and IGHV mutation status [odds ratio (OR) 2·51; 95% confidence interval (CI) 1·64–3·83; P < 0·001]. Among CLL Rai 0 patients, CD49d positivity was associated with shorter time to development of lymphadenopathy (3·2 years vs not reached, P < 0·01). This association was maintained after adjusting for either FISH [hazard ratio (HR) 2·18; 95% CI 1·25–3·81; P = 0·006) or IGHV status (HR 2·02; 95% CI 1·11–3·69; P = 0·02) individually, but was attenuated when adjusting by both (HR 1·72; 95% CI 0·88–3·38; P = 0·11).These data demonstrate that CD49d‐positive CLL patients experience a disease course dominated by lymphadenopathy. These findings could have implications for therapy selection and disease monitoring.