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953 FLIPI24: An Improved International Prognostic Model Developed on Early Events in Follicular Lymphoma

Program: Oral and Poster Abstracts
Type: Oral
Session: 623. Mantle Cell, Follicular, and Other Indolent B Cell Lymphomas: Clinical and Epidemiological II
Hematology Disease Topics & Pathways:
Research, epidemiology, Lymphomas, Clinical Research, Diseases, indolent lymphoma, real-world evidence, registries, Lymphoid Malignancies, Technology and Procedures, machine learning
Monday, December 12, 2022: 5:30 PM

Matthew J. Maurer, DSc1, Vit K Prochazka, MD, PhD2*, Christopher R. Flowers, MD3, Lasse Hjort Jakobsen, MSc, PhD4*, Diego Villa, MD5, Caroline E. Weibull, MSc, PhD6*, Elliot J. Cahn7*, Alexandra Smith, MS7*, Herve Ghesquieres, MD, PhD8*, Robert Kridel, MD9, Maher Gandhi, MBChB PhD10, Chan Yoon Y. Cheah, MD11, Eliza Hawkes, MD12, John F. Seymour, MBBS, PhD, FRACP13, Ciara L. Freeman, MSc, FRCPath, MBBChir, MRCP14, Michael Roost Clausen, MD, PhD15*, Björn E Wahlin, MD, PhD16, Jonathan W. Friedberg, MD, MMSc17, Carla Casulo, MD18, Thomas M. Habermann, MD19, Yucai Wang, MD, PhD19, Loretta J. Nastoupil, MD20, Peter De Nully Brown, MD21, David Belada, MUDr, PhD22*, Andrea Janíková, doc., MD, PhD23*, Heidi Mocikova, MD, Ph.D.24*, Tomáš Fürst, Dr.25*, Richard Burack, MD, PhD26, Peter Martin, FRCPC, MD, MS27, Jonathon B. Cohen, MD, MS28, Izidore S. Lossos, MD29, Brad S. Kahl, MD30, Brian K. Link, MD31, Karin E. Smedby, MD, PhD32*, Laurie H. Sehn, MD, MPH33, Marek Trneny, MD34, Tarec Christoffer Christoffer El-Galaly, MD, DSc35,36 and James R. Cerhan, MD, PhD1

1Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN
2Department of Hemato-Oncology, Faculty of Medicine and Dentistry, University Hospital In Olomouc, Olomouc, Czech Republic
3Department of Lymphoma and Myeloma, MD Anderson Cancer Center, Houston, TX
4Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
5Centre for Lymphoid Cancer, BC Cancer, Vancouver, BC, Canada
6Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
7Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
8Department of Hematology, Lyon Sud University Hospital/Hospices Civils de Lyon, Pierre Benite, France
9University Health Network, Princess Margaret Cancer Center, Toronto, ON, Canada
10Department of Haematology, Princess Alexandra Hospital, Mater Research University of Queensland, Brisbane, QLD, Australia
11Linear Clinical Research and Sir Charles Gairdner Hospital, Perth, WEA, Australia
12Department of Clinical Haematology, Austin Health, Heidelberg, VIC, Australia
13Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
14Department of Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
15Department of Haematology, Vejle Hospital, Vejle, Denmark
16Karolinska Institute, Stockholm, Sweden
17James P. Wilmot Cancer Center, University of Rochester Medical Center, Rochester, NY
18Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY
19Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
20The University of Texas MD Anderson Cancer Center, Houston, TX
21Department of Hematology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
22Charles University, Faculty of Medicine, Prague, Czech Republic
23Department of Hematology and Oncology, Faculty of Medicine, Masaryk University and University Hospital, Brno, Czech Republic
24Department of Internal Medicine, Third Faculty of Medicine, Charles University and University Hospital Kralovske Vinohrady, Prague, AE, Czech Republic
25Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacký University, Olomouc, Czech Republic
26Department of Pathology and Laboratory Medicine/Hematopathology, University of Rochester Medical Center, Rochester, NY
27Meyer Cancer Center, Weill Cornell Medical College-New York Presbyterian Hospital, New York, NY
28Department of Hematology and Medical Oncology, Emory University, Atlanta, GA
29Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL
30Division of Oncology, Washington University School of Medicine in St. Louis, Saint Louis, MO
31Division of Hematology, Oncology, and Blood & Marrow Transplantation, University of Iowa, Iowa City, IA
32Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
33Centre for Lymphoid Cancer, Department of Medical Oncology, BC Cancer and The University of British Columbia, Vancouver, BC, Canada
341st Department of Internal Medicine - Hematology, General Hospital, Charles University, Prague, Czech Republic
35Department of Hematology and Aalborg Hospital Science and Innovation Center (AHSIC), Aalborg University Hospital, Aalborg, Denmark
36Department of Haematology, Aalborg University Hospital, Aalborg, Denmark

Background: Early events are associated with inferior outcomes in follicular lymphoma (FL) and increased risk of death due to refractory FL. Risk prediction of early events prior to the start of therapy may enhance clinical management and research strategies. We report the FL International Prognostic Index model developed specifically to predict the risk of event within 24 months (EFS24) of starting first-line immunochemotherapy (IC) (FLIPI24).

Methods: Modeling was performed using individual patient data from 10 observational cohorts from Europe, North America, and Australia. Eligible patients were diagnosed with grades 1-3A FL and initiated frontline R-CHOP, R-CVP, R-bendamustine (B-R), or like therapies. Event-free survival (EFS) was defined as time from start of IC to progression, retreatment, transformation, or death due to any cause. Model development utilized a truncated Cox model stratified on IC type and cohort with a time-dependent adjustment for maintenance therapy. Multiple imputation was implemented to address missing data. Functional forms of variables were assessed using splines. Model selection was based on model performance, clinical relevance, and parsimony. Gradient boosting machines were evaluated as a complementary approach and used to inform model selection. Model building was performed on an 80% split sample with 20% held for internal testing. External validation occurred in an independent cohort. FLIPI24 risk scores assumed B-R or R-CHOP based chemotherapy and 50% likelihood of maintenance.

Results: 4485 patients initiating frontline IC between 2002 and 2018 were utilized in the analysis; 3577 patients were utilized for model building and 908 for internal model testing. Median age at diagnosis in the model build dataset was 61 years (IQR 53-69) and 51% were male. FLIPI was 21%, 32%, and 48% for low, intermediate, and high risk, respectively. IC type was 1874 R-CHOP or like (52%), 730 B-R or like (20%), and 973 R-CVP (27%); 2164 received CD20 antibody maintenance (61%). At median follow-up of 77 months (IQR 48-115), EFS24 estimate was 81% (95% CI: 79-82) and 835 patients (23%) died. 5-year survival after an early (non-death) event was 46% (95% CI: 42-50).

The FLIPI24 model utilizes 5 continuous variables: age (linear 60-90 years with inflection at age 75), hemoglobin (linear 8-17 g/dL), white blood cell count (linear 4-11 109/L), normalized lactate dehydrogenase (linear 0.5-5), and beta-2-microglobulin (linear 1-10 mg/L). Linear variables and valid ranges were utilized based on close examination of functional forms across potential models. Continuous FLIPI24 risk scores were grouped for visualization in K-M curves as follows: very low risk (0-0.10), low risk (0.10-0.15), average risk (0.15-0.20), high risk (0.20-0.40), very high risk (>0.40), Figure 1.

Internal validation was performed on the 20% holdout set (N=908). The FLIPI24 had superior concordance (c-stat) for EFS24 (c-stat=0.666) compared to FLIPI (c-stat=0.630) and PRIMA-PI (c-stat=0.590) models, Table 1. Importantly, FLIPI24 also improved prognostic ability for 10-year OS following IC (c-stat = 0.672) vs FLIPI (c-stat=0.629) or PRIMA-PI (c-stat=0.595).

External validation was performed in a prospective cohort of 1438 newly diagnosed patients with FL (558 treated with IC) enrolled in the multicenter US LEO Cohort between 2015 and 2020. The FLIPI24 had superior c-stats compared to the FLIPI and PRIMA-PI for EFS24 (0.671 vs 0.600 vs 0.602) and OS (0.732 vs. 0.652 vs 0.635) in IC treated patients and for OS (0.785 vs 0.703 vs 0.662) when assessed in all patients.

Conclusion: The FLIPI24 model provides an individual risk score at diagnosis for the likelihood of experiencing an event within 24 months from starting IC. The FLIPI24 was rigorously developed, tested, and externally validated using large harmonized and pooled international observational cohorts from the IC era. The FLIPI24 utilizes objective variables easily and reliably measured at diagnosis. A novel feature of the model is the significance of established blood-based measurements in the model, which appears to capture underlying tumor and host biology. Model performance for FLIPI24 was superior to standard clinical models for prediction of both EFS24 and OS in internal and external validation sets. Elevated FLIPI24 risk represents a patient population for further biologic studies and who should be considered for novel frontline therapies.

Disclosures: Maurer: Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; GenMab: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Research Funding; Roche/Genentech: Research Funding; Morphosys: Research Funding. Flowers: Pfizer: Research Funding; Xencor: Research Funding; Ziopharm: Research Funding; Burroughs Wellcome Fund: Research Funding; Eastern Cooperative Oncology Group: Research Funding; National Cancer Institute: Research Funding; Kite: Research Funding; Morphosys: Research Funding; Pharmacyclics: Research Funding; Sanofi: Research Funding; Takeda: Research Funding; TG Therapeutics: Research Funding; NPower: Current holder of stock options in a privately-held company; Acerta: Research Funding; Cellectis: Research Funding; EMD: Research Funding; 4D: Research Funding; Foresight Diagnostics: Consultancy, Current holder of stock options in a privately-held company; Bayer: Consultancy, Research Funding; Guardant: Research Funding; Amgen: Research Funding; Adaptimmune: Research Funding; Celgene: Consultancy, Research Funding; Genentech/Roche: Consultancy, Research Funding; Iovance: Research Funding; Genmab: Consultancy; SeaGen: Consultancy; Pharmacyclics/Janssen: Consultancy; Karyopharm: Consultancy; Gilead: Consultancy, Research Funding; Denovo Biopharma: Consultancy; BeiGene: Consultancy; Janssen Pharmaceutical: Research Funding; Allogene: Research Funding; Spectrum: Consultancy; Abbvie: Consultancy, Research Funding; V Foundation, Cancer Prevention and Research Institute of Texas: CPRIT Scholar in Cancer Research: Research Funding. Jakobsen: Roche: Honoraria. Villa: Roche, AstraZeneca, Abbvie, Janssen, Kite/Gilead, BMS/Celgene, BeiGene, Kyowa Kirin: Consultancy, Honoraria; AstraZeneca, Roche: Research Funding. Weibull: Red Door Analytics: Membership on an entity's Board of Directors or advisory committees; Janseen Cilag: Research Funding; War On Cancer: Current Employment. Ghesquieres: Roche: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; BMS: Honoraria; Abbvie: Honoraria. Kridel: Abbvie: Research Funding. Cheah: Eli Lilly and Company: Consultancy, Honoraria; AstraZeneca: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Merck Sharp & Dohme: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Roche: Consultancy, Honoraria, Research Funding; TG Therapeutics: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria; Beigene: Consultancy, Honoraria. Hawkes: Roche: Research Funding; Bristol-Myers Squibb: Research Funding; Merck KgA: Research Funding; Astra Zeneca: Research Funding; Bristol_Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Antengene: Membership on an entity's Board of Directors or advisory committees; Link: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees; Merck Sharpe and Dohme: Membership on an entity's Board of Directors or advisory committees; Regeneron: Speakers Bureau; Janssen: Speakers Bureau; Roche: Speakers Bureau; Astra Zeneca: Speakers Bureau; Specialised Therapeutics: Consultancy. Seymour: F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; TG Therapeutics: Consultancy; Celgene: Consultancy, Research Funding, Speakers Bureau; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Genor Biopharma: Membership on an entity's Board of Directors or advisory committees. Freeman: Bristol Meyers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Research Funding; Sanofi: Honoraria; Amgen: Honoraria; Incyte: Honoraria. Wahlin: Roche: Consultancy, Research Funding; Gilead Sciences: Research Funding. Casulo: Verastem: Research Funding; Secura Bio: Research Funding; Gilead: Research Funding; Bristol Myers Squibb: Research Funding; Genentech: Research Funding. Wang: Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; InnoCare: Membership on an entity's Board of Directors or advisory committees, Research Funding; Loxo@Lilly: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Genentech: Research Funding; MorphoSys: Research Funding; Genmab: Research Funding; Eli Lilly and Company: Membership on an entity's Board of Directors or advisory committees; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; Kite Pharma: Honoraria, Membership on an entity's Board of Directors or advisory committees. Nastoupil: ADC Therapeutics, BMS, Caribou Biosciences, Epizyme, Genentech/Roche, Gilead/Kite, Genmab, Janssen, MEI, Morphosys, Novartis, Takeda: Honoraria; Genentech/Roche, MEI, Takeda: Other: DSMC; BMS, Caribou Biosciences, Epizyme, Genentech, Gilead/Kite, Genmab, Janssen, IGM Biosciences, Novartis, Takeda: Research Funding. Belada: Gilead Sciences, Janssen-Cilag, Roche, Takeda, MorphoSys AG, Debiopharm Group: Consultancy; Roche, Gilead Sciences, Janssen-Cilag, Takeda, MorphoSys AG, Pharmacyclics, Archiden Biotech, Reddy: Research Funding; Gilead Sciences, Roche, Takeda: Other: travel expenses. Martin: ADCT: Consultancy; AstraZeneca: Consultancy; Beigene: Consultancy; BMS: Consultancy; Daiichi Sankyo: Consultancy; Epizyme: Consultancy; Genentech: Consultancy; Janssen: Consultancy; Regeneron: Consultancy; Takeda: Consultancy. Cohen: BeiGene: Consultancy, Research Funding; Astrazeneca: Consultancy, Research Funding; HutchMed: Consultancy, Research Funding; Novartis: Research Funding; Aptitude Health: Consultancy; Kite Pharma/Gilead: Consultancy; Takeda: Research Funding; Genentech: Research Funding; BMS/Celgene: Research Funding; Lilly Oncology/Eli Lilly: Consultancy, Research Funding; Janssen: Consultancy. Lossos: Adaptive: Honoraria; LRF: Membership on an entity's Board of Directors or advisory committees; NCI: Research Funding. Kahl: AstraZeneca: Consultancy, Research Funding; Pharmacyclics: Consultancy; Abbvie: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Roche: Consultancy; ADT Therapeutics: Consultancy; Celgene/BMS: Consultancy, Research Funding; Kite: Consultancy; Beigene: Consultancy, Research Funding; AcertaPharma: Consultancy; MEI: Consultancy; Janssen: Consultancy; Incyte: Consultancy; Hutchmed: Consultancy, Research Funding; TG Therapeutics: Consultancy; Genmab: Consultancy; Seattle Genetics: Consultancy; Research To Practice: Speakers Bureau. Link: Novartis: Research Funding; MEI: Consultancy; Jannsen: Research Funding; Bristol-Myers Squibb: Research Funding; Genentech / Roche: Consultancy, Research Funding. Smedby: Janseen Cilag: Research Funding. Sehn: Teva, Roche/Genentech: Consultancy, Honoraria, Research Funding; Chugai: Consultancy, Honoraria; AbbVie, Acerta, Amgen, Apobiologix, AstraZeneca, BMS/Celgene, Gilead, Incyte, Janssen, Kite, Karyopharm, Lundbeck, Merck, Morphosys, Sandoz, Seattle Genetics, Servier, Takeda, TG Therapeutics, Verastem: Honoraria; AbbVie, Acerta, Amgen, Apobiologix, AstraZeneca, BMS/Celgene, Debiopharm, Genmab, Gilead, Incyte, Janssen, Kite, Karyopharm, Lundbeck, Merck, Morphosys, Novartis, Sandoz, Seattle Genetics, Servier, Takeda, TG Therapeutics, Verastem: Consultancy. Trneny: Abbvie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Roche: Consultancy, Honoraria, Research Funding; Gilead Sciences: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; MorphoSys: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Zentiva: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Research Funding; Incyte: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria. El-Galaly: Abbvie: Other: Teaching in 2021; Roche: Ended employment in the past 24 months. Cerhan: NanoString: Research Funding; GenMab: Research Funding; Genentech: Research Funding; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Protagonist: Membership on an entity's Board of Directors or advisory committees.

*signifies non-member of ASH