BASELINE TOTAL METABOLIC VOLUME (TMTV) PREDICTS THE OUTCOME OF PATIENTS WITH ADVANCED HODGKIN LYMPHOMA (HL) ENROLLED IN THE AHL2011 LYSA TRIAL
Author(s): ,
Olivier Casasnovas
Affiliations:
Hematology,Hopital Le Bocage - CHU Dijon,Dijon,France
,
Salim Kanoun
Affiliations:
Nuclear Medicine,Centre GF Leclerc,Dijon,France
,
Ilan Tal
Affiliations:
Beth Israel Deaconess Medical Center,Boston,United States
,
Anne Segolene Cottereau
Affiliations:
Nuclear Medicine,Hopital Henri Mondor,Creteil,France
,
Veronique Edeline
Affiliations:
Nuclear Medicine,Hopital R.Huguenin, Institut Curie,St-Cloud,France
,
Pauline Brice
Affiliations:
Hematology,Hopital St Louis,Paris,France
,
Reda Bouabdallah
Affiliations:
Hematology,Institut P Calmette,Marseille,France
,
Gilles Salles
Affiliations:
Hematology,Hopital Lyon Sud,Pierre Bénite,France
,
Aspasia Stamatoullas
Affiliations:
Hematology,Centre H. Becquerel,Rouen,France
,
Jehan Dupuis
Affiliations:
Hematology,Hopital Henri Mondor,Creteil,France
,
Oumedaly Reman
Affiliations:
Hematology,CHU Caen,Caen,France
,
Thomas Gastinne
Affiliations:
Hematology,CHU Nantes,Nantes,France
,
Bertrand Joly
Affiliations:
Hematology,Hopital Sud Francilien,Corbeille,France
,
Krimo Bouabdallah
Affiliations:
Hematology,CHU Bordeaux,Bordeaux,France
,
Emmanuelle Nicolas-Virelizier
Affiliations:
Hematology,Centre L. Berard,Lyon,France
,
Marc Andre
Affiliations:
Hematology,CHU Dinant Godinne,Yvoir,Belgium
,
Nicolas Mounier
Affiliations:
Hematology,CHU Nice,Nice,France
,
Christophe Ferme
Affiliations:
Hematology,Institut Gustave Roussy,Villejuif,France
,
Michel Meignan
Affiliations:
Nuclear Medicine,Hopital Henri Mondor,Creteil,France
Alina Berriolo-Riedinger
Affiliations:
Nuclear Medicine,Centre GF Leclerc,Dijon,France
(Abstract release date: 05/19/16) EHA Library. CASASNOVAS O. 06/10/16; 135138; S105
Dr. Olivier CASASNOVAS
Dr. Olivier CASASNOVAS
Contributions
Abstract
Abstract: S105

Type: Oral Presentation

Presentation during EHA21: On Friday, June 10, 2016 from 11:30 - 11:45

Location: Hall A2

Background
The TMTV assessed on the baseline FDG-PET is a novel approach of tumor burden measurement quantifying the most active part of the tumor. It has been reported to influence HL outcome in a retrospective series (Kanoun et al, EJNM 2014; 41: 1735).

Aims
We designed a study evaluating the TMTV prognosis value in patients (pts) prospectively enrolled in a phase III randomized trial testing a treatment strategy driven by PET, compared to a standard treatment not monitored by PET.

Methods
Eligible pts for the present study had to be enrolled in the AHL2011 trial (NCT01358747) and to have a baseline PET (PET0) available for central review and TMTV calculation. Pts were 16-60 y, with a previously untreated advanced HL (Ann Arbor stage III, IV or high risk IIB) and were randomly assigned to a treatment strategy driven by PET after 2 escalated BEACOPP (BEA) cycles (PET2), delivering 4 cycles of ABVD for PET2 negative (PET2-) pts and 4 cycles of BEA for PET2 positive (PET2+) pts or a standard treatment not monitored by PET and delivering 6 cycles of BEA. PET2 were centrally reviewed and interpreted according to Deauville criteria. TMTV was computed on PET0 by summing the metabolic volumes of the individual lesions using the 41% SUVmax thresholding method already described in lymphoma (Meignan et al, EJNM 2014; 41: 113).

Results
392 pts with a median age of 30 years were included: 64% were male, 89% had stage III/IV, and 59% an IPS≥3.  Median TMTV was 200 ml (23 – 2149). Using a X-tile method a 350ml cut off value was firstly identified in a training set of patients (n = 262; 67%) randomly obtained from the whole population, and found to predict PFS in both the training and validation sets of pts (n = 130; 33%). With a median follow up of 16 months, 2y-PFS was 81% vs 93% in pts with high and low TMTV respectively in the whole population (p = 0.0015; HR = 3). PET2 positivity was also related to a lower 2y-PFS compared to PET2- pts (76% vs 92%; p<0.0001). Then 3 groups could be identified: pts with either [high TMTV and PET2+ (n = 23; 6%)], or [high TMTV and PET2-, or low TMTV and PET2+ (n = 103; 27%)], or [low TMTV and PET2- (n = 261; 67%)] had a 61%, 88%, 94% 2y-PFS respectively (p<0.0001).

Conclusion
The TMTV predicts the outcome of young advanced HL pts independently of the early metabolic response to treatment. The combination of TMTV and PET2 allows identifying 3 subsets of HL pts with significantly different outcome that may help clinician to better tailor therapy.

Session topic: First-line treatment of Hodgkin Lymphoma

Keyword(s): Hodgkin's lymphoma, PET, Prognosis
Abstract: S105

Type: Oral Presentation

Presentation during EHA21: On Friday, June 10, 2016 from 11:30 - 11:45

Location: Hall A2

Background
The TMTV assessed on the baseline FDG-PET is a novel approach of tumor burden measurement quantifying the most active part of the tumor. It has been reported to influence HL outcome in a retrospective series (Kanoun et al, EJNM 2014; 41: 1735).

Aims
We designed a study evaluating the TMTV prognosis value in patients (pts) prospectively enrolled in a phase III randomized trial testing a treatment strategy driven by PET, compared to a standard treatment not monitored by PET.

Methods
Eligible pts for the present study had to be enrolled in the AHL2011 trial (NCT01358747) and to have a baseline PET (PET0) available for central review and TMTV calculation. Pts were 16-60 y, with a previously untreated advanced HL (Ann Arbor stage III, IV or high risk IIB) and were randomly assigned to a treatment strategy driven by PET after 2 escalated BEACOPP (BEA) cycles (PET2), delivering 4 cycles of ABVD for PET2 negative (PET2-) pts and 4 cycles of BEA for PET2 positive (PET2+) pts or a standard treatment not monitored by PET and delivering 6 cycles of BEA. PET2 were centrally reviewed and interpreted according to Deauville criteria. TMTV was computed on PET0 by summing the metabolic volumes of the individual lesions using the 41% SUVmax thresholding method already described in lymphoma (Meignan et al, EJNM 2014; 41: 113).

Results
392 pts with a median age of 30 years were included: 64% were male, 89% had stage III/IV, and 59% an IPS≥3.  Median TMTV was 200 ml (23 – 2149). Using a X-tile method a 350ml cut off value was firstly identified in a training set of patients (n = 262; 67%) randomly obtained from the whole population, and found to predict PFS in both the training and validation sets of pts (n = 130; 33%). With a median follow up of 16 months, 2y-PFS was 81% vs 93% in pts with high and low TMTV respectively in the whole population (p = 0.0015; HR = 3). PET2 positivity was also related to a lower 2y-PFS compared to PET2- pts (76% vs 92%; p<0.0001). Then 3 groups could be identified: pts with either [high TMTV and PET2+ (n = 23; 6%)], or [high TMTV and PET2-, or low TMTV and PET2+ (n = 103; 27%)], or [low TMTV and PET2- (n = 261; 67%)] had a 61%, 88%, 94% 2y-PFS respectively (p<0.0001).

Conclusion
The TMTV predicts the outcome of young advanced HL pts independently of the early metabolic response to treatment. The combination of TMTV and PET2 allows identifying 3 subsets of HL pts with significantly different outcome that may help clinician to better tailor therapy.

Session topic: First-line treatment of Hodgkin Lymphoma

Keyword(s): Hodgkin's lymphoma, PET, Prognosis

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