Search

Differences in the Distribution of non-Hodgkin Lymphoma in public versus private institution in a Latin American country: A cohort of 5,807 cases. Background: Non-Hodgkin lymphoma (NHL) is the most frequent hematological malignancy. B-cell (BCL) and T-cell (TCL) NHL subtypes differs in high income and low-and middle-income countries. In Peru, the healthcare system (HCS) is divided mainly into public and private institutions. We previously demonstrated that there is a difference in the distribution of NHL between the HCS. We aimed to describe the subtypes of NHL seen according to healthcare facilities in a large cohort. Methods: We reviewed medical records at National Cancer Institute and Oncosalud, both the leading public and private cancer centers in Peru, respectively. All patients diagnosed with NHL from 2010-2019 according to the 2016 WHO classification were included. Baseline characteristics were compared between public and private institutions using Student's t test and Chi-square as appropriate. Results: A total of 5,807 NHL were included from both institutions. The median age was 60 years (range 15-103), 50.6% were male. Most patients NHL cases were encountered at the public institution (92.4%, n = 5,368); 82.9% (n = 4,815) were BCL and 17.1% (n = 992) TCL. Differences of BCL and TCL frequencies were seen among institutions. More BCL cases were seen at the private institution (86.1%, n = 378 versus 82.7%, n = 4,437, respectively) whereas TCL were common in the public institution (17.3%, n = 931 versus 13.9%, n = 61, respectively) (p < 0.065). The most frequent BCL was DLBCL with 68.6% (n = 3045) and 54.2% (n = 205) seen in public and private institutions, respectively (p < 0.001). The second most frequent BCL was follicular lymphoma (FL) with 11.2% (n = 495) and 20.9% (n = 79) seen in the public and private institutions, respectively (p < 0.001). Chronic lymphocytic lymphoma (CLL) and Burkitt lymphoma (BL) were most frequent in private institution (CLL 6.3%, n = 24 vs. 3.5%, n = 154, p = 0.004; BL 3.4%, n = 13 vs. 1.4%, n = 60, p = 0.001). The most frequent TCL was peripheral T-cell lymphoma, not otherwise specified (PTCL, NOS) (24.5%, n = 228) for the public institution and mycosis fungoides (MF) (42.6%, n = 26) for the private institution. The second most frequent TCL was natural killer/TCL (NKTCL) (23.5%, n = 219) for the public institution, and PTCL, NOS (21.3%, n = 13) for the private institution. There was significant difference in the number of NKTCL and MF cases seen during the study period among institutions (NKTCL public 23.5%, n = 219 vs. private 4.9%, n = 3, p = 0.001; MF public 9.1%, n = 90 vs. private 42.6%, n = 26, p Conclusions: The distribution of NHL subtypes differs according to the type of healthcare system in Peru. Our large cohort confirms that DLBCL and NKTCL are more frequent in patients treated at the public cancer center than in private center. On the contrary FL, CLL, BL and MF are more frequent in private cancer center. The difference in the distribution of BCL and TCL was not statistically significant. Disclosures No relevant conflicts of interest to declare.

Introduction: T-cell lymphomas are a relatively rare and heterogeneous group of lymphoid neoplasms. Its incidence relies on viral infections incidence as Human T-cell lymphotropic virus type I-II (HTLV-I/II) and Ebstein Bar virus (EBV). Specifically, these viruses have a significantly higher incidence in Latin-American populations. Our objective was to calculate the incidence and survival of T-cell lymphomas in the largest Peruvian population based on a national registry. Methods: We conducted a multicenter, retrospective registry study of non-Hodgkin T cell lymphoma. The data was extracted from Instituto Nacional de Enfermedades Neoplasicas and Oncosalud-AUNA, Lima-Peru, from January 2010 to December 2019, a total of 948 patients who were diagnosed as mature T cell non-Hodgkin lymphoma based on the World Health Organization Classification 2008 were enrolled. T-lymphoblastic lymphoma/leukemia was excluded. Overall survival was calculated based on death dates from the Peruvian national identification registry (RENIEC). Results: The median age was 51 years (range, 1-94), and male and female patients were 512 (54%) and 436 (46%). Among the 948 patients enrolled, Peripheral T-cell lymphoma was the common neoplasm accounting for 23% (n=221), and Extra-Nodal NK T-lymphoma (22%, n=213), Adult T-cell lymphoma (22%, n=205), Anaplasic Large cell lymphoma (14%, n=131), Cutaneous T-cell lymphoma (14%, n=129) (Figure 1a). At the time of diagnosis, extranodal disease was found in 68.6% (650) of patients. By July 2021, only 15.3% of cases were in remission and 37% (350) were alive. Median global overall survival of T-cell lymphomas was 1 year (0.8-1.1), Cutaneous T-cell lymphoma had the highest survival and Adult T-cell lymphoma had the lowest survival (Table 1 and Figure 1b). Conclusion: This initial report shows a relatively high frequency of mature T-cell lymphomas in Latin-America real-world setting, and confirms that T-cell lymphomas patients had a dismal outcome. The clinical outcome for patients with T-cell lymphomas subtypes is poor with standard therapies, and novel agents and new modalities are needed to improve survival. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Background:Acute Myeloid leukemia (AML) and High-risk Myelodysplastic Syndrome (MDS) are two aggressive myeloid neoplasms characterized by dismal outcomes in patients not suitable for intensive treatment. During the last decades, hypomethylating agents (HMA) represented a valuable treatment option for AML and MDS, particularly in older or unfit patients. However, the limited efficacy and high-costs concerns in developing countries limited its general use. Azacytidine is the most representative and available HMA in limited-sources facilities. We aimed to explore the efficacy of azacytidine as frontline treatment in terms of event-free (EFS) and overall survival (OS) for newly diagnosed patients with AML non-candidates to intensive chemotherapy and MDS in Peru. Methods: We reviewed medical records of patients diagnosed and managed for AML at three private cancer institutions in Lima-Peru (Oncosalud, Clinica Delgado and Clinica Angloamericana) between 2010 and 2019. Cytogenetics and molecular markers were not retrospectively available during data obtention. Clinical characteristics, laboratory data and outcomes were evaluated for patients with AML and MDS who received at least 1 cycle of AZA as frontline treatment. AZA was given at accumulated dose of 75mg/m2/daily for 7 days every 4 weeks, however further dose reductions were allowed by physician criteria. Best responses were assessed according to Leukemia.net consensus, but summarize as complete remission (CR), partial response (PR) and stable disease (SD). Survival curves (event-free and overall survival) were estimated using the Kaplan-Meier method and compared with the Log-rank test. Results:A total of 76 patients were included and had sufficient data for analysis. Fifty-two cases had AML and 24 MDS. Clinical characteristics, Laboratory data, Treatment and Outcomes were summarized in Table 1. Median ages for AML was 74 and 69 for MDS, 37% and 54% had less than 70 years in AML and MDS, respectively. Female/male ratio was 1:1 for AML and 1:3 for MDS. One-third of AML cases and 48% of MDS had an ECOG performance status ≤1. Twenty-five (48%) of AML patients had Secondary AML to MDS, and 25% had prior cancer treatment. Median number of cycles of AZA was 5 for both groups. A high composite CR rates were seen for AML (39%) and MDS (25%), PR were 10% and 8% for AML and MDS, respectively. The majority of MDS cases reached stable disease (62%), and 35% in AML. Three patients underwent to allo-transplant (2 AML and 1 MDS). Relapsed rates were more frequent in AML cases (AML 63% vs. 30%), however, deaths were similar in both groups. At a median follow-up of 4-years, the EFS was 3% for AML and 20% for MDS, and OS was 16% and 30% for AML and MDS patients, respectively. Conclusions: Azacytidine represents an effective and accessible therapy for AML non-candidates to intensive chemotherapy and MDS in limited-sources settings. Access to novel effective therapies must be warranted for these highly aggressive myeloid neoplasms in developing countries. Disclosures No relevant conflicts of interest to declare.

Background: Diffuse large B-cell lymphoma (DLBCL) is the most common variant of non-Hodgkin lymphoma (NHL) accounting for approximately 30% of the NHL cases worldwide. Previous reports have associated certain viral infections with the development of DLBCL such as HIV and EBV, both infections related with an aggressive clinical course and worse outcome. The human T-lymphotropic virus type 1 (HTLV-1) is a retrovirus regarded as the pathogenic agent for adult T-cell lymphoma/leukemia. HTLV-1 is endemic in Japan, the Caribbean basin, South America, and parts of Africa. In Peru, up to 3% of the healthy adult population carries HTLV-1. As data on the impact of HTLV-1 infection in DLBCL outcomes is scarce, we aim to describe the clinical features and outcomes of HTLV-1-positive patients with a pathological diagnosis of DLBCL. Methods: We retrospectively reviewed medical records of patients diagnosed and managed for DLBCL at the National Institute of Neoplastic Diseases in Lima-Peru between 2007 and 2019. Patients were evaluated for HTLV-1 infection at the time of diagnosis. Positive HTLV-1 cases were matched to negative HTLV-1 controls based on age, sex, and cancer staging. Treatment responses were assessed according to the Lugano criteria. Overall survival (OS) and event-free survival (EFS) curves were estimated using the Kaplan-Meier method and compared with the Log-rank test to determine the impact of HTLV-1 infection. Multivariate Cox regression models were reported with adjusted Hazar Ratios (aHR) with a 95% confidence interval (95% CI). Results: A total of 192 patients with DLBCL were identified and had sufficient data for analysis. Seventy (37%) cases were positive for HTLV-1 infection and 122 (63%) were not. Table 1 summarizes the clinical features and outcomes of DLBCL patients according to HTLV-1 status. Overall, the majority of patients were ≥65 years (59%), had ECOG performance status ≤2 (95%) and were stage III-IV (51%) at diagnosis. One third (n=64) of patients had extranodal involvement with 71 affected sites of which bone marrow involvement was frequently found in HTLV-1-negative DLBCL cases (55% vs. 7%, p Conclusion: To the best of our knowledge, this is the largest case series describing the clinical characteristics and outcome of HTLV-1-positive DLBCL patients. A study from Japan on early stage localized (head and neck) B-cell-NHL (n=198, HTLV-1 seropositive n=21 and with DLBCL n=12) treated with radiotherapy and/or multi-agent chemotherapy found poorer prognosis on HTLV-1 carriers compared to non-carriers (5-year OS: HTLV-1-positive n=21, 49% vs. HTLV-1-negative n=177, 78%, p=0.007; Hiroaki et al BJH 2003). In this study, we included DLBCL patients with both early and advanced stage disease along with localized and extranodal involvement. We found that HTLV-1 infection had no significant impact on 5-year OS and EFS rates when using conventional therapy for DLBCL. Moreover, we did not find differences in relapsed and mortality rates. Further investigation is needed to confirm the potential impact of HTLV-1 infection in DLBCL outcome. Disclosures No relevant conflicts of interest to declare.

Background: The human T-cell lymphotropic virus type 1 (HTLV-1) is an oncogenic retrovirus that affects CD4+ T-cell lymphocytes and is the cause for adult T-cell leukemia/lymphoma (ATLL), an aggressive peripheral T-cell neoplasm. Hodgkin-like ATLL subtype is a unique entity usually indistinguishable from Hodgkin lymphoma (HL) in the setting of HTLV-1 infection. HTLV-1 proviral integration and TCR Cb1 gene rearrangement testing are often necessary to differentiate both entities. However, less is known on HTLV-1 carriers diagnosed with HL (HTLV-1+ HL). We aim to compare survival outcomes between HTLV-1+ HL and matched controls treated at the National Cancer Institute in Peru. Methods: We reviewed medical records of patients diagnosed and managed for HL at the National Cancer Institute (Instituto Nacional de Enfermedades Neoplasicas, INEN) in Lima-Peru between 2002 and 2019. All patients should have had serologic evaluation for HTLV-1 infection at the time of diagnosis and should have had no suspicion (or confirmation) of a T-cell neoplasm during pathological examination. To investigate the impact of HTLV-1 infection on survival, we matched HTLV-1+ HL cases to HTLV-1-negative HL patients (controls) based on age, sex, cancer staging, and comorbidities. Treatment responses were assessed according to the Lugano criteria. Survival curves (event-free and overall survival) were estimated using the Kaplan-Meier method and compared with the Log-rank test. Multivariate Cox regression analysis was fitted and reported as Hazard Ratios (HR) with a 95% confidence interval (95% CI). Results: A total of 68 HL patients were identified and had sufficient data for analysis. Twenty cases had HTLV-1+ HL and 48 HTLV-1-negative HL. Table 1 summarizes the clinical features and outcomes of HL patients. In all patients the median age at diagnosis was 55 years with a female/male ratio of 1:1. Histological subtypes of HL were not statistically different among both groups with mixed cellularity as the most common subtype (HTLV-1+ HL 50% vs. HTLV-1-negative HL 38%), followed by nodular sclerosis (HTLV-1+ HL 15% vs. 31%), lymphocyte-rich (HTLV-1+ HL 15% vs. 15%), and nodular lymphocyte-predominant (HTLV-1+ HL 5% vs. 4%). ECOG performance status ≤2, advanced-stage disease (III-IV), presence of B symptoms, and presence of extranodal disease at the time of diagnosis were not different in both groups. Co-infections were presented in 5 (7.4%) HL patients (1 strongyloidiasis and 3 tuberculosis in the HTLV-1+ HL group, and 1 tuberculosis in the HTLV-1 negative HL group). All HTLV-1-negative HL patients were treated with first-line ABVD regimen compared to 18 (90%) HTLV-1+ HL patients; the remaining HTLV-1+ HL patients received involved-field radiation (n=1) and best supportive care (n=1). HTLV-1+ HL patients had inferior response rates (complete and partial response) compared to the matched control group (CR: 60% vs. 71%, and PR: 15% vs. 27%, respectively, p=0.015). At a median follow-up of 5-years, the overall survival was 55% in HTLV-1+ HL versus 67% in the matched control group (aHR: 1.39, 95%CI [0.6-3.4], p=0.47) (Figure 1). In the multivariate analysis, HTLV-1 infection was not a significant prognostic factor for worse event-free or overall survival. Relapsed rates were not different between both groups (HTLV-1+ HL 25% vs. 20.8%), however, more deaths were seen in the HTLV-1+ HL group (60% vs. 35%) but this was not statistically significant. Conclusion: To the best of our knowledge, this is the first case series describing the characteristics and outcome of HTLV-1 carriers diagnosed with HL. We found lower response rates to conventional treatment in HTLV-1+ HL patients compared to HTLV-1 negative individuals. However, long-term outcomes and relapsed rates were not different among groups. Further investigation is needed to confirm the potential impact of HTLV-1 infection in HL outcome. Disclosures No relevant conflicts of interest to declare.

Introduction: The introduction of imatinib mesylate as first-line treatment has led to great improvements in the prognosis of patients with chronic myeloid leukemia (CML). The most used prognostic scores are Sokal, EUTOS and Hasford. Also, the time from diagnosis to imatinib and cytogenetic response influence the prognosis of patients with CML. However, there is no information about CML patients in chronic phase treated with imatinib in developing countries. Objectives: The aim of this study was to determine the prognostic factors in Peruvian patients with CML in chronic phase treated with imatinib (Glivec). Methods: Retrospective cohort of peruvian patients with chronic phase CML that received Imatinib (Glivec-Novartis) through the Glivec International Patient Assistance Program (GIPAP) in a national cancer center. The patients were classified according to prognostic scores of Sokal, EUTOS and Hasford at the beginning of imatinib therapy. The overall survival (OS) was calculated from the date of initiation of imatinib until the date of death or last contact. Event-free survival (EFS) was calculated from the date of start of treatment to date of occurrence of death from any cause during treatment, progression to accelerated phase or blast crisis CML or loss of major cytogenetic response. Transformation-free survival (TFS) was calculated from the date of start of treatment to date of occurrence of accelerated progression to blastic phase. Survival curves were estimated by Kaplan-Meier and comparison was done by log-rank test. Multivariate analysis for OS was performed with the Cox proportional hazard regression model. Results: 99 patients met the eligibility criteria and had a median observation time of 71.3 months. The average time from diagnosis to start imatinib was 11.4 months (CI 7.58-15.31). 14% of the patients had an age>55 years. The complete cytogenetic response at 12+3 months was 36%; the partial response was 16.67% and the lower response was 13.89%. According to the criteria of Sokal, EUTOS and Hasford, 59.58%, 49.49% and 27.27% were classified as higher risk, respectively. The 5-yrs-OS was 66.67% (CI 0.04-0.18%); 5-yrs-EFS, 68.63% (CI 0.13-0.38%) and 5-yrs-TFS, 60.82% (CI 0.21-0.41%). The patients with an age>55 years had significantly lower OS compared with the younger patients (p=0.039). The patients with a time higher than 12 months from diagnosis to imatinib had significantly lower OS than the patients that started it earlier (p=0.0076). The OS was significantly different according to the risk groups of Sokal score (p=0.0221). Also, significant difference was found in the EFS according to cytogenetic response (p=0.042). In the multivariate analysis, the factors that influence OS were high risk according toSokal score (HR=9.42 CI1.09-81.29) and a time greater than 12 months from diagnosis Imatinib (HC=3.53 CI1.12-11.18). Conclusion: In this Peruvian population, the majority of patients are at high risk groups of Sokal, EUTOS and Hasford scores. High risk according to Sokal score and a time higher than 12 months from diagnosis to imatinib were the main prognostic factors. Disclosures No relevant conflicts of interest to declare.