EFS12 Is a Powerful Predictive Tool for Outcomes in Stage I Aggressive Non Hodgkin Lymphoma: A Report from Nationwide Registry in a Resource Limited Country Thai Lymphoma Study Group

Introduction: Stage I disease represents a minor subset of aggressive Non-Hodgkin Lymphoma (NHL) accounting around 10%. Overall prognosis is generally good but varied upon different histologic subtypes and topographic presentation. Herein, we describe an implication of event free survival at 12 mont...

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Veröffentlicht in:Blood 2019-11, Vol.134 (Supplement_1), p.2128-2128
Hauptverfasser: Wudhikarn, Kitsada, Bunworasate, Udomsak, Julamanee, Jakrawadee, Lekhakula, Arnuparp, Khuhapinant, Archrob, Ekwattanakit, Supachai, Norasetthada, Lalita, Nawarawong, Weerasak, Numbenjapon, Tontanai, Prayongratana, Kannadit, Sirijerachai, Chittima, Chansung, Kanchana, Chuncharunee, Suporn, Niparuck, Pimjai, Kanitsap, Nonglak, Wongkhantee, Somchai, Suwanban, Tawatchai, Makruasi, Nisa, Wong, Peerapon, Praditsuktavorn, Pannee, Intragumtornchai, Tanin
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Sprache:eng
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Zusammenfassung:Introduction: Stage I disease represents a minor subset of aggressive Non-Hodgkin Lymphoma (NHL) accounting around 10%. Overall prognosis is generally good but varied upon different histologic subtypes and topographic presentation. Herein, we describe an implication of event free survival at 12 months (EFS12) as a predictor for outcomes of stage I aggressive NHL including real-world data on clinical characteristics and treatment patterns of stage I aggressive NHL in a resource-limited country. Patients and methods: Thai lymphoma study group conducted the lymphoma registry which prospectively enrolled and systematically followed newly diagnosed lymphoma patients between 2007 and 2014 from 13 nationwide major University hospitals. We abstracted data of stage I aggressive NHL patients from the registry and obtained additional information from medical record. Clinical characteristics, treatment patterns and survival outcomes were described. EFS12 was a binary endpoint defined as whether patients developed events at 12 months after treatment initiation. Overall survival (OS) was defined as duration from a specific time-point either at the time of diagnosis, at EFS12 time-point to or at the event to death from any causes. Logistic regression model was used to evaluate the association between clinical characteristics and EFS12. Cox regression with EFS12 as a time-dependent co-variate and other clinical parameters were applied to evaluate association between EFS12 and OS. Results: Of 4,371 newly diagnosed lymphomas, there was a total of 636 stage I lymphoma patients (6.86%) including 590 NHL (519 B cell, 71 T/NK cell) and 46 HL. Among 590 stage 1 NHL, 435 were considered patients (356 diffuse large B cell lymphoma (DLBCL) and 8 Burkitt lymphoma (BL), 19 peripheral T cell lymphoma not otherwise specified (PTCL-NOS), 7 angioimmunoblastic T cell lymphoma (AITL), 11 anaplastic large cell lymphoma (ALCL), 1 other PTCL subtypes and 33 extranodal NK T cell lymphoma (ENKTL)). Table 1 summarizes baseline characteristics and treatment data of stage I aggressive NHL. At the time of analysis 61 patients relapsed and 146 patients had died. Major causes of death included infection related events (n=37, 25.3%), non-infectious related complication (n=21, 14.4%) and disease progression (n=60, 41.1%) respectively. With a median follow up of 47.3 months, both median event free survival (EFS) and overall survival (OS) were not reached with corresponding 4 years EFS and 4 years OS of
ISSN:0006-4971
1528-0020
DOI:10.1182/blood-2019-123581