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A POOLED DATA ANALYSIS OF TWELVE CLINICAL TRIALS OF FONDAZIONE ITALIANA LINFOMI (FIL): KHORANA SCORE AND HISTOTYPE PREDICT THE INCIDENCE OF EARLY VENOUS THROMBOEMBOLISM (VTE) IN NON HODGKIN LYMPHOMA
Author(s): ,
Roberto Mario Santi
Affiliations:
Hematology,Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo di Alessandria,Alessandria,Italy
,
Manuela Ceccarelli
Affiliations:
Cancer Epidemiology,Città della Salute e della Scienza,Torino,Italy
,
Gioacchino Catania
Affiliations:
Hematology,Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo di Alessandria,Alessandria,Italy
,
Chiara Monagheddu
Affiliations:
Cancer Epidemiology,Città della Salute e della Scienza,Torino,Italy
,
Andrea Evangelista
Affiliations:
Cancer Epidemiology,Città della Salute e della Scienza,Torino,Italy
,
Elisa Bernocco
Affiliations:
Hematology,Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo di Alessandria,Alessandria,Italy
,
Federico Monaco
Affiliations:
Hematology,Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo di Alessandria,Alessandria,Italy
,
Massimo Federico
Affiliations:
Medical Oncology,University of Modena e Reggio Emilia,Modena,Italy
,
Umberto Vitolo
Affiliations:
Hematology II,Città della Salute e della Scienza,Torino,Italy
,
Sergio Cortellazzo
Affiliations:
Hematology and Bone marrow Transplantation,Regional Hospital S. Maurizio of Bolzano,Bolzano,Italy
,
Maria Giuseppina Cabras
Affiliations:
Hematology,Hospital Businco of Cagliari,Cagliari,Italy
,
Michele Spina
Affiliations:
Hematology,IRCCS CRO of Aviano,Aviano,Italy
,
Luca Baldini
Affiliations:
Hematology,Ospedale Maggiore Policlinico of Milan, University of Milan,Milano,Italy
,
Carola Boccomini
Affiliations:
Hematology II,Città della Salute e della Scienza,Torino,Italy
,
Annalisa Chiappella
Affiliations:
Hematology II,Città della Salute e della Scienza,Torino,Italy
,
Alessia Bari
Affiliations:
Diagnostic, Clinical and Public Health Medicine,University of Modena,Modena,Italy
,
Stefano Luminari
Affiliations:
Diagnostic, Clinical and Public Health Medicine,University of Modena,Modena,Italy
,
Carlo Visco
Affiliations:
Hematology,Hospital S. Bortolo,Vicenza,Italy
,
Marco Calabrese
Affiliations:
Hematology,Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo di Alessandria,Alessandria,Italy
,
Laura Contino
Affiliations:
Hematology,Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo di Alessandria,Alessandria,Italy
,
Giovannino Ciccone
Affiliations:
Cancer Epidemiology,Città della Salute e della Scienza,Torino,Italy
Marco Ladetto
Affiliations:
Hematology,Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo di Alessandria,Alessandria,Italy
(Abstract release date: 05/19/16) EHA Library. Santi R. 06/09/16; 132500; E951
Dr. Roberto Santi
Dr. Roberto Santi
Contributions
Abstract
Abstract: E951

Type: Eposter Presentation

Background
Recent studies show that the risk of VTE in Non Hodgkin Lymphoma (NHL) patients (pts) is similar to that observed in high risk solid tumors (i.e. pancreatic, ovarian cancer). VTE in NHL occurs in most cases within 3 months from diagnosis and can have substantial impact on treatment delivery and outcome as well as on quality of life. However few data are available on potential predictors.

Aims
 To better clarify the epidemiology of early (within 6 months from treatment start) VTE in NHL pts we conducted  a pooled data analysis of 12 clinical trials from FIL. Our analysis included basic demographic features, lymphoma-related characteristics as well as the Khorana score KS (based on histology, body mass index BMI, platelets count PLTs, white blood cells count WBC and hemoglobin values Hb) which is extensively used in solid tumors to predict VTE risk.

Methods
From Jan. 2010 to Dec. 2014 all pts with B-cell NHL enrolled in prospective clinical trials from FIL for frontline treatment were included. For 9 studies the study period included the entire trial population. The analysis was conducted based on CRFs as well as pharmacovigilance reports. VTE definition and grading was stated according to standard criteria of toxicity (CTCAE V4.0). Cumulative incidence of VTE from study enrollment was estimated using the method described by Gooley et al. accounting for death from any causes as a competing risk. The Fine & Gray survival model was used to identify predictors of VTE among NHL pts. Factors predicting the grade of VTE were investigated using an ordinal logistic regression model. This pooled data analysis was approved by local IRB.  

Results
 Overall, 1717 pts belonging to 12 studies were evaluated. 8 studies were phase I/II or II (25% of pts) and 4 phase III (75% of pts). M/F ratio was 1.41, median age was 57 (IQ range IQR 49-66). Histologies were: diffuse large B-cell lymphoma DLCL-B 34%, follicular lymphoma FL 41%, mantle cell lymphoma MCL 18%, other 6%. Median BMI was 25 (IQR 22-28). Median Hb, WBC and PLTs counts were 13g/dl (IQR 11.5-14.2), 7,1x10^9/l (IQR 5.6-10.3) and 224x10^9/l (IQR 169-298) respectively. In 1189 pts was assessed KS: 58% low risk, 30% intermediate risk, 12% high risk. Human erytropoetin support was given to 9% of pts. All pts received Rituximab. Planned therapeutic programs included autologous stem cells transplantation in 27% of pts, conventional chemotherapy in 67% and conventional chemotherapy plus lenalidomide in 6%. Overall 59 any grade VTE episodes occurred in 51 pts (2.9%), including 21 grade III-IV VTEs (18 pts). None was fatal. Median time from study enrollment to VTE was 63 days (IQR: 35-110). Considering death as a competitive event the 6 months cumulative incidence of VTE was 2,2% (95%IC: 1.1-3.3) in low risk, 4.5% (95%IC: 2.3-6.7) in intermediate and 6.6% (95%IC: 2.4-10.8) in high risk KS (p=0.012). KS was predictive also for grade III-IV VTEs as they were 0,7% (95%IC:0.1-1.4) in low risk and 2% (95%IC:0.8-3.3) in intermediate-high risk (p=0.048). Results were similar also after excluding lenalidomide containing studies.Fine and Gray multivariate analysis, adjusted for age and stage, showed that KS (intermediate risk adjHR=1.96; 95%IC: 0.84-4.56 and high risk adjHR=3.81; 95%IC: 1.51-9.58) and DLCL-B histotype (adjHR=2.58; 95%IC: 1.01-6.55) were independently associated to an increased risk of VTE. Moreover an ordinal logistical regression model indicated that the increase of 1 point in the KS resulted in an increased risk of VTE (OR=1.85; 95%CI: 1.23-2.79).

Conclusion
 Our results suggest that DLCL-B hystotype and KS are predictors of VTE in NHL. The latter might become a simple and effective tool to assess the risk of VTE in NHL. Prospective validation including also pts not eligible for clinical trials is needed.



Session topic: E-poster

Keyword(s): Chemotherapy toxicity, Diffuse large B cell lymphoma, Thrombosis
Abstract: E951

Type: Eposter Presentation

Background
Recent studies show that the risk of VTE in Non Hodgkin Lymphoma (NHL) patients (pts) is similar to that observed in high risk solid tumors (i.e. pancreatic, ovarian cancer). VTE in NHL occurs in most cases within 3 months from diagnosis and can have substantial impact on treatment delivery and outcome as well as on quality of life. However few data are available on potential predictors.

Aims
 To better clarify the epidemiology of early (within 6 months from treatment start) VTE in NHL pts we conducted  a pooled data analysis of 12 clinical trials from FIL. Our analysis included basic demographic features, lymphoma-related characteristics as well as the Khorana score KS (based on histology, body mass index BMI, platelets count PLTs, white blood cells count WBC and hemoglobin values Hb) which is extensively used in solid tumors to predict VTE risk.

Methods
From Jan. 2010 to Dec. 2014 all pts with B-cell NHL enrolled in prospective clinical trials from FIL for frontline treatment were included. For 9 studies the study period included the entire trial population. The analysis was conducted based on CRFs as well as pharmacovigilance reports. VTE definition and grading was stated according to standard criteria of toxicity (CTCAE V4.0). Cumulative incidence of VTE from study enrollment was estimated using the method described by Gooley et al. accounting for death from any causes as a competing risk. The Fine & Gray survival model was used to identify predictors of VTE among NHL pts. Factors predicting the grade of VTE were investigated using an ordinal logistic regression model. This pooled data analysis was approved by local IRB.  

Results
 Overall, 1717 pts belonging to 12 studies were evaluated. 8 studies were phase I/II or II (25% of pts) and 4 phase III (75% of pts). M/F ratio was 1.41, median age was 57 (IQ range IQR 49-66). Histologies were: diffuse large B-cell lymphoma DLCL-B 34%, follicular lymphoma FL 41%, mantle cell lymphoma MCL 18%, other 6%. Median BMI was 25 (IQR 22-28). Median Hb, WBC and PLTs counts were 13g/dl (IQR 11.5-14.2), 7,1x10^9/l (IQR 5.6-10.3) and 224x10^9/l (IQR 169-298) respectively. In 1189 pts was assessed KS: 58% low risk, 30% intermediate risk, 12% high risk. Human erytropoetin support was given to 9% of pts. All pts received Rituximab. Planned therapeutic programs included autologous stem cells transplantation in 27% of pts, conventional chemotherapy in 67% and conventional chemotherapy plus lenalidomide in 6%. Overall 59 any grade VTE episodes occurred in 51 pts (2.9%), including 21 grade III-IV VTEs (18 pts). None was fatal. Median time from study enrollment to VTE was 63 days (IQR: 35-110). Considering death as a competitive event the 6 months cumulative incidence of VTE was 2,2% (95%IC: 1.1-3.3) in low risk, 4.5% (95%IC: 2.3-6.7) in intermediate and 6.6% (95%IC: 2.4-10.8) in high risk KS (p=0.012). KS was predictive also for grade III-IV VTEs as they were 0,7% (95%IC:0.1-1.4) in low risk and 2% (95%IC:0.8-3.3) in intermediate-high risk (p=0.048). Results were similar also after excluding lenalidomide containing studies.Fine and Gray multivariate analysis, adjusted for age and stage, showed that KS (intermediate risk adjHR=1.96; 95%IC: 0.84-4.56 and high risk adjHR=3.81; 95%IC: 1.51-9.58) and DLCL-B histotype (adjHR=2.58; 95%IC: 1.01-6.55) were independently associated to an increased risk of VTE. Moreover an ordinal logistical regression model indicated that the increase of 1 point in the KS resulted in an increased risk of VTE (OR=1.85; 95%CI: 1.23-2.79).

Conclusion
 Our results suggest that DLCL-B hystotype and KS are predictors of VTE in NHL. The latter might become a simple and effective tool to assess the risk of VTE in NHL. Prospective validation including also pts not eligible for clinical trials is needed.



Session topic: E-poster

Keyword(s): Chemotherapy toxicity, Diffuse large B cell lymphoma, Thrombosis

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