Introduction: Follicular lymphoma (FL) is the most common indolent non-Hodgkin lymphoma subtype seen in Western countries. However, data on FL from Latin America (LATAM) are scarce. We aimed at better understanding the clinical features, treatment patterns and outcomes of patients with FL from LATAM. Methods: This is a retrospective study that included all consecutive patients with a pathological diagnosis of FL at 18 participating centers from 12 LATAM countries. All cases were reviewed by specialized pathologists at their respective participating centers. Pertinent clinical, pathological and treatment data were collected. Responses were assessed per the Lugano criteria. Time to first treatment, progression-free survival after first treatment (PFS1) and overall survival (OS) were estimated using the Kaplan-Meier method. Results: A total of 763 patients were included in this analysis. On clinical features, 51% of patients were ≥60 years, 46% were male, 29% had extranodal involvement, 27% had bulky disease (≥6 cm in diameter), 68% had stage III/IV disease, 21% had hemoglobin <12 g/dl, 12% had serum albumin <3 g/dl, 34% had elevated serum LDH and 24% had B2-microglobulin ≥3,5 mg/l. Low, intermediate and high-risk FLIPI was seen in 43%, 33% and 23% of patients, respectively. Low, intermediate and high-risk FLIPI2 was seen in 18%, 64% and 17% of patients, respectively. The median time to first treatment was 0.08 years (95% CI 0.08-0.09), and 88% of patients started therapy within 1 year of diagnosis. Of the 647 treated patients, 70% received CHOP ± rituximab (R), 16% CVP ± R, 6% bendamustine ± R, 4% R alone and 4% other treatments. Response data were available in 628 patients with complete response in 72%, partial response in 21% and no response in 7%, for an overall response rate of 93%. The median PFS1 was 10.5 years (95% CI 7.3-not reached; Figure), and 74 patients (12%) had disease progression within 24 months of first treatment initiation (POD24). The median OS was 21.1 years (95% CI 13-not reached; Figure). Patients with low, intermediate and high FLIPI had median OS not reached, 21.1 and 9.5 years, respectively (p<0.001). Patients with low, intermediate and high FLIPI2 had median OS not reached, 21.1 and 6.8 years, respectively (p<0.001). Patients who had and did not have POD24 had median OS of 7.3 years (95% CI 4.8-not reached) and 21.1 years (95% CI 13-not reached), respectively (p<0.001). Conclusion: This large, real world evidence LATAM cohort of 763 patients with FL showed a higher than expected female incidence as well as higher rates of extranodal and bulky disease than previously reported in Western cohorts. Chemoimmunotherapy is the standard approach to FL patients in LATAM, which is associated with high rates of response and highly encouraging PFS and OS rates. Our study validates the prognostic value of FLIPI, FLIPI2 and POD24. Figure Disclosures Villela: Roche: Other: advisory board, Speakers Bureau; amgen: Speakers Bureau. Peña:Amgen: Speakers Bureau; BindingSite: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sandoz: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees. Idrobo:Takeda: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau; Tecnofarma: Honoraria, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Abbvie: Honoraria, Speakers Bureau. Abello:Dr. Reddy's: Consultancy, Research Funding; Takeda: Honoraria, Research Funding; Novartis: Consultancy, Honoraria; Amgen: Consultancy, Research Funding; Abbvie: Consultancy, Research Funding. Perini:AbbVie, Janssen: Speakers Bureau; Janssen, Takeda: Honoraria. Castillo:Abbvie: Research Funding; Janssen: Consultancy, Research Funding; Kymera: Consultancy; TG Therapeutics: Research Funding; Beigene: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding.

Introduction. There are different scoring systems to differentiate risk groups in patients with DLBCL treated with chemoimmunotherapy. Those systems have used the same 5 variables (age, performance status, LDH, stage, extranodal involvement) for 27 years. However, LATAM data have not been included in the development of previous scoring systems. It is important to mention that novel biological variables, such as albumin, beta-2-microglobulin (B2M) and platelet/lymphocyte ratio (PLR), have been reported and could improve discrimination (Villela et al. Blood 2019; 134Suppl_1: 1613). Therefore, we carried out a large, multinational study to develop and validate a LATAM-IPI score. Methods. This is a retrospective cohort of 1030 patients with a diagnosis of DLBCL treated with standard chemoimmunotherapy with curative intent between 2010 and 2018. Data were obtained from 8 LATAM countries: Argentina, Colombia, Chile, Guatemala, Mexico, Paraguay, Peru, and Venezuela. The five classic IPI variables (age, ECOG, extranodal involvement, LDH, stage) were analyzed and albumin and PLR were added (Villela et al. Blood 2019; 134Suppl_1: 1613). B2M was not included because it was not requested regularly in all countries. Development of LATAM-IPI: The training set consisted of 85% of the sample, randomly selected, and the remaining 15% was reserved for internal validation. Using the training set, the univariate and multivariate association between clinical prognostic factors and OS was analyzed fitting Cox proportional-hazard models. Outcomes. Clinical characteristics of the training (n=878) and internal validation (n=151) cohorts are shown in Table 1. There were no statistical differences in baseline characteristics between the cohorts. The median follow-up for the whole cohort was 36 months (IQR: 11-57). When exploring the classic IPI variables on the training set, all variables were associated with high risk of mortality [age 65-74, Hazard Ratio (HR) 1.24, 95% CI 0.96 to 1.58, p=0.08; age ≥75, HR 1.71, 95% CI 1.28 to 2.28, p=0.0003), ECOG (≥ 2, HR=2, 95% CI 1.61 to 2.53; p<0.0001), EN (≥2, HR=1.53, 95% CI 1.18 to 1.97; p=0.0012), stage (III/IV, HR=2.1, 95% CI 1.64 to 2.69; p<0.0001) and LDH (ratio 1.1-2.9, HR=1.55, 95% CI 1.22 to 1.97; p=0.0003; ratio ≥3, HR= 2.68, 95% CI 1.93 to 3.7, p<0.0001). Similarly, the biological variables Albumin (≤3.5 mg/dL, HR 2.37, 95% CI 1.9 to 2.95, p<0.0001) and PLR (≥273, HR= 1.52, 95% CI 1.23 to 1.87; p=0.0001) were associated with high risk of death. Next, these variables were evaluated by multivariate analysis. The independent variables were albumin (<3.5 mg/dL, HR 1.84, 95% CI 1.45 to 2.3, p<0.0001, 1 point), LDH (ratio 1.1 to 2.9, HR 1.30, 95% CI 1.02 to 1.67, p=0.03, 1 point; ratio ≥3, HR=1.84, 95% CI 1.31 to 2.5, p=0.0004, 2 points), advanced stage (HR 1.65, 95% CI 1.27 to 2.13, p=0.0001, 1 point), age (≥75, HR= 1.51, 95% CI 1.15 to 1.98, p=0.003, 1 point), and ECOG (≥2, HR 1.40, 95% CI 1.10 to 1.77, p=0.005). Now, for the development of LATAM-IPI, the groups were distributed as follows: 0 points, low; 1-3 points, intermediate; 4-6 points, high risk. There were no differences in the distribution of the risk groups between training and validation sets (Table 2). In the learning cohort, the 5-year OS rates for low, intermediate and high risk were 81%, 63% and 33%, respectively (p<0.0001). In the validation cohort, the 5-year OS rates for low, intermediate and high risk were 81%, 63% and 44%, respectively (p=0.02) (Figure 1). Conclusions: Using multinational learning and validation cohorts including over 1,000 DLBCL patients treated with standard chemoimmunotherapy in LATAM, we developed a novel LATAM-IPI score using age ≥75 years, ECOG ≥2, advanced stage, LDH ratio (1.1-29 and ≥3) and albumin <3.5 mg/dl. Next steps are to disseminate our results with other involved researchers in LATAM to prospectively assess and reproduce our results. We expect this score will help to further define the prognosis of DLBCL patients in LATAM. Disclosures Villela: amgen: Speakers Bureau; Roche: Other: advisory board, Speakers Bureau. Idrobo:Janssen: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau; Abbvie: Honoraria, Speakers Bureau; Tecnofarma: Honoraria, Speakers Bureau; Takeda: Honoraria, Speakers Bureau. Gomez-Almaguer:Amgen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene/BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Castillo:Janssen: Consultancy, Research Funding; TG Therapeutics: Research Funding; Kymera: Consultancy; Abbvie: Research Funding; Beigene: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding.

Introduction: SARS-COV-2 pandemic has infected approximately 20 million people worldwide and more than 700.000 fatalities have been reported. Patients with malignant hematological diseases are at particular risk for unfavorable outcomes, including intensive care unit (ICU) admission, need for mechanical ventilation (MV) and death. There is paucity of data of the outcome of cancer patients with COVID-19 in low- and middle-income countries. GELL is a collaborative network of hematological centers in 13 countries in Latin America. In this retrospective study, we aimed to look at the outcome of lymphoma patients diagnosed with COVID-19 in Latin America. Methods: This is a retrospective study including patients with a diagnosis of lymphoma and COVID-19 infection. Patients with chronic lymphocytic leukemia/small lymphocytic lymphoma were excluded from the analysis. COVID-19 diagnosis was done by RT-PCR in all but 3 patients, in whom the diagnosis was done by serology. Active disease was defined as patients with detected disease in any setting (prior to therapy, relapse) or patients currently on treatment. Survival curves were plotted using Kaplan Meier method. Results: A total of 117 patients were available for analysis. Median age was 60 years old, and 44% of patients had at least one comorbidity, including 32% with hypertension, 17% with obesity, 11% with cardiovascular disease and 17% with diabetes. Most patients had aggressive lymphomas (67%), including 46% of patients with diffuse large B-Cell lymphoma (DLBCL). Follicular lymphomas was observed in 13% of patients and Hodgkin's lymphoma in 10% of patients. 84% of patients had active disease, and 70% of patients were currently on treatment. With a median follow up of 17 days from COVID-19 diagnosis, 78% were admitted to Hospital, 30% needed ICU support, and 27% needed MV. Importantly, 26% of patients died, most of them within 20 days from diagnosis (Fig. 1). There was no relation between active disease (p=0.23), current treatment (p=0.65) or use of monoclonal antibodies (p=0.24) with death. COVID-19 treatment data was available in 107 patients, and 72 of them received any treatment, being steroids, the most common treatment used (n=59). Conclusion: We confirm the dismal prognosis of patients with hematological malignancies and COVID-19 infection. In our cohort of Latin America patients with lymphoma and COVID-19, 26% of patients died with a median follow up of 17 days. No impact of current treatment or use of monoclonal antibodies were observed. Figure Disclosures Peña: Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sandoz: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Amgen: Speakers Bureau; BindingSite: Research Funding. Idrobo:Amgen: Honoraria, Speakers Bureau; Abbvie: Honoraria, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Tecnofarma: Honoraria, Speakers Bureau; Takeda: Honoraria, Speakers Bureau. Abello:Novartis: Consultancy, Honoraria; Amgen: Consultancy, Research Funding; Takeda: Honoraria, Research Funding; Dr. Reddy's: Consultancy, Research Funding; Abbvie: Consultancy, Research Funding. Rojas:Novartis: Consultancy; Abbvie: Honoraria; Sandoz: Honoraria; Roche: Honoraria. Castillo:Beigene: Consultancy, Research Funding; Abbvie: Research Funding; Pharmacyclics: Consultancy, Research Funding; TG Therapeutics: Research Funding; Kymera: Consultancy; Janssen: Consultancy, Research Funding. Villela:amgen: Speakers Bureau; Roche: Other: advisory board, Speakers Bureau.