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  • 1
    In: Blood, American Society of Hematology, Vol. 136, No. Supplement 1 ( 2020-11-5), p. 23-23
    Abstract: INTRODUCTION: Several studies have disclosed the predictive role of tumor microenvironment (ME) in diffuse large B cell lymphoma (DLBCL). However, there is limited data regarding the prognostic impact of immune cells (IC) in the bone marrow (BM) of DLBCL patients (pts). Regulatory molecules secreted from primary tumor sites may induce a pro-tumorigenic ME within BM, resulting in an impaired systemic immune response that could promote lymphoma survival. AIMS: -To determine the prognostic impact on survival and risk of early relapse (ER) of the % of T lymphocytes (TL), monocytes (Mo), neutrophils, NK cells and polyclonal B lymphocytes (BL) measured by flow cytometry (FC) in pre-treatment BM aspirates of DLBCL pts. METHODS: We selected pts with DLBCL and available BM aspiration FC data at the time of diagnosis who received treatment at our institution between 2012 and 2019. Clinical information was collected from medical records. FC analysis was performed with 8-color FC panels according to international Euroflow protocols. % of TL, Mo, neutrophils, NK cells and polyclonal BL by FC were compared to the normal values determined by Matarraz et al. (Cytometry part B, 2010). All parameters were analyzed as ordinal variables in 3 categories: low, normal and high. Odds ratio for ER (relapse within a year) was calculated using logistic regression. The survival analysis was estimated with Kaplan-Meier method. The comparison between variables was performed through log-rank test and multivariate analysis with Cox regression. RESULTS: A total of 119 pts were included in this retrospective study. Pts characteristics are summarized in Table 1. All pts were treated with immunochemotherapy regimens. Median PFS and OS were not reached, 75th percentile of 12.7 and 27.8 months (m), respectively; with a median follow up time of 30.7 m (range: 3.4-60). ER was documented in 25 pts. Regarding BM IC, pts with normal TL, polyclonal BL and Mo % were significantly associated with superior PFS and OS (figure 1A and table 2). No correlation between BM NK cells or neutrophils levels and outcome was observed. Moreover, BM IC levels did not statistically differ in involved vs not involved BM. In our cohort, the R-IPI was able to discriminate outcomes in poor and good-very good (G-VG) risk (median OS of 48 m vs. not reached, p & lt;0.001; and median PFS of 34.8 m vs. not reached, p: 0.001, respectively). Histopathologic involved BM also predicted inferior survival (median OS of 48.3 vs not reached, p:0.037; and median PFS of 16.9 m vs not reached, p:0.028). R-IPI, BM involvement and BM IC were included in a multivariate analysis. G-VG R-IPI and low BM TL % remained independent prognostic factor of PFS on multivariate analysis with HR of 0.43 (95% CI 0.21-0.89, p: 0.023), and 3.77 (95% CI 1.8-7.92, p & lt;0.001) respectively (Table 3). The odds of ER was 4 times higher in pts with low BM TL % (95% CI 1.47-10.84, p: 0.006) and 2.8 times higher in pts with low polyclonal BL (95% CI 1.07-7.58, p: 0.036). On the contrary, G-VG R-IPI showed a protective effect with an odds ratio for ER of 0.22 (95% CI 0.08-0.61, p: 0.003). On multivariate analysis both the low BM TL % [OR 5.18 (95% CI 1.45-18.53, p: 0.011)] and the R-IPI subgroup [OR 0.21 in G-VG R-IPI (95% CI 0.06-0.71, p: 0.012)] were predictive of ER. Pts with poor R-IPI were subsequently stratified according to BM TL categories. Pts with low and high TL % had a median PFS of only 9.4 vs 17 m respectively. However, it was unexpectedly not reached in the normal TL subgroup, p: 0.005 (Figure 1B). There was also a trend towards inferior OS in pts with low and high TL (median of 23.1 and 27.8 m respectively vs not reached for the normal subgroup, p: 0.09). CONCLUSIONS: Normal BM % of TL, BL and Mo in DLBCL pts measured by FC was associated with better outcomes in our cohort irrespective of BM involvement. Furthermore, concomitant low BM TL% and poor R-IPI identified a subgroup of pts with extremely poor results. These two variables presented at diagnosis might be used as prognostic factors of early relapse in DLBCL. In the future, therapies that could target the crosstalk between lymphoma cells and the BM ME might represent an encouraging strategy to improve outcomes in DLBCL. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2020
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  • 2
    In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 2415-2415
    Abstract: INTRODUCTION Tumor microenvironment (TME) in diffuse large B-cell lymphoma (DLBCL) has recently been in the spotlight. The predictive role of immune cells (IC) in peripheral blood (PB), bone marrow (BM) and lymph nodes (LN) has been individually assessed, often using techniques not widely available. However, data regarding the relative prognostic impact of TME in each compartment evaluated simultaneously in DLBCL is still lacking. AIMS To determine the prognostic impact on survival of the monocyte-lymphocyte prognostic score (MLS) in PB and the percentage (%) of IC in the BM and LN measured by flow cytometry (FC) in DLBCL and whether it could improve the conventional risk assessment of the R-IPI. METHODS We retrospectively collected information of patients (pts) with DLBCL and available BM aspiration and LN FC data at diagnosis, treated at our center between 2012 and 2019. Pts were stratified according to the MLS (Wilcox et al, Leukemia 2011) in two groups: low (PB monocyte counts & lt;630/ml and lymphocyte counts ≥1000/ml) and intermediate-high risk. FC analysis was performed with 8-color panels according to Euroflow protocols. % of BM and LN IC by FC were compared to normal values determined by Matarraz (Cytometry part B 2010) and Battaglia et al (Immunology 2003), and analyzed in 3 categories: low, normal and high. Survival analysis was performed with Kaplan-Meier (variables compared with log-rank) and Cox regression. RESULTS 71 pts were included with a median age of 59 years. Table 1 shows frequency analysis of TME variables and R-IPI in our cohort. All pts received immunochemotherapy. Complete remission rate was 82%. Median overall survival (OS) was 120.5 months (m), with a median follow up time of 38.7 m. On univariate analysis, poor R-IPI and TME variables from the 3 compartments: low LN T lymphocyte (TL) %, both high and low BM monocyte (Mo) %, low polyclonal BM B lymphocyte (BL) %, and intermediate-high MLS showed prognostic impact on OS. BM IC levels did not statistically differ in involved vs not involved BM. On multivariate analysis, poor R-IPI, low LN TL %, low BM Mo and polyclonal BL, remained independent predictors of survival (Table 2). Pts with the 4 unfavorable variables showed a median OS of only 4 m and 100% mortality rate. In contrast, in pts with none of these adverse risk variables OS rate was 100% (p & lt;0.001), Figure 1. CONCLUSIONS Low LN TL %, low BM Mo and polyclonal BL measured by FC were associated with inferior OS in our cohort of DLBCL pts. These TME variables combined with R-IPI can identify both a subgroup of pts with high early mortality rate and a group with excellent long-term prognosis. Immunotherapy with CART cells and BiTEs has shown encouraging results in relapsed refractory DLBCL pts. These strategies could help to improve outcomes in this high risk subset of pts while restoring previously deficient antitumoral immunity. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
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    detail.hit.zdb_id: 80069-7
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  • 3
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 1625-1625
    Abstract: INTRODUCTION: Recent studies have suggested that tumor microenviroment (TME) may play an important role in lymphomagenesis and tumor progression in non-Hodgkin lymphoma. Tumor-infiltrating lymphocytes and myeloid-derived cells could provide valuable prognostic information independent from tumor characteristics alone. In diffuse large B-cell lymphoma (DLBCL) several attempts have been made to capture prognostic variables associated with TME. Peripheral blood monocytes, lymphocytes and natural killer (NK) cells have been shown to predict outcome in DLBCL patients (pts). Immunohistochemistry and gene-expression profile on tissue biopsies have also been studied as prognostic indicators. In this study we assessed the prognostic significance of the percentage of infiltrating T-lymphocytes (TL) and NK cells measured by flow cytometry (FC) in tissue biopsies of DLCBL. AIMS: -To determine the prognostic impact on survival of the percentage of infiltrating TL and NK cells measured by FC in tissue biopsies. -To evaluate whether this variables can provide additional information when superimposed on the R-IPI. METHODS: We selected pts with DLBCL and available tissue biopsy FC data at the time of diagnosis who received treatment at our institution between 2012 and 2018. Clinical information such as age, gender, stage, serum lactate dehydrogenase levels, R-IPI and cell of origin were collected from medical records. FC analysis was performed with 8-color FC panels according to international Euroflow protocols. Percentage of TL and NK-cells in lymph node biopsy by FC was compared to the normal values determined by Battaglia et al (Immunology 2003). Both parameters were analyzed as dichotomized variables: low vs. normal-high. The survival analysis was estimated with Kaplan-Meier method. The comparison between variables was performed through log-rank test and multivariate analysis with Cox regression. RESULTS: A total of 75 pts were included in this retrospective study. Pts characteristic are summarized in Table 1. All pts were treated with immunochemotherapy regimens. Complete remission rate was 82%. Median PFS and OS were 35.2 and 83.2 months respectively, with a median follow up time of 27.8 months (range: 4.3-177.5). In our cohort, the R-IPI was able to discriminate OS and PFS into poor and good-very good risk (median OS of 27.8 months vs. not reached, and median PFS of 12.8 vs. 82.6 months, p 〈 0.001, respectively). A low percentage of TL in lymph node biopsy samples was associated with inferior OS (median OS 34.3 months vs. not reached, p:0.001). This subgroup also had inferior PFS, not statistically significant (median PFS 16 vs. 118 months, p:0.08). Regarding NK-cells, low values had significantly worse OS (median OS 57.4 months vs. not reached, p:0.03). Decreased PFS, not statistically significant, was also found in this subgroup (median PFS of 15.5 vs. 40.4 months, p:0.079). Both the TL and R-IPI remained independent predictors of survival on multivariate analysis with HR of 5.5 (CI 95% 1.88-16.07, p: 0.002), and 5.8 (CI 95% 2.20-15.33, p 〈 0.001) respectively (Table 2). The percentage of TL in lymph nodes was able to further stratify clinical outcome in all R-IPI categories. In pts in the good-very good R-IPI and normal-high TL risk group no deaths occurred, compared to a median OS of only 22.2 months in pts with poor R-IPI and low TL values (p 〈 0.001). Interestingly the outcomes of pts with only one of the adverse variants (low TL or poor R-IPI) were very similar (figure 4). Similarly, PFS in the good-very good R-IPI with normal-high TL was significantly higher than in the poor risk R-IPI with low percentage of TL in tissue samples (median PFS of 118.5 months vs. 9.3 months respectively, p 〈 0.001), (Figure 3). CONCLUSIONS: Tumor infiltrating TL in lymph nodes of pts with DLBCL measured by FC showed prognostic impact in OS in our cohort. Data obtained from FC is easily acquired and should be taken into consideration when studying TME. Furthermore, the percentage of TL was able to provide additional prognostic information when superimposed on the R-IPI, identifying both a subgroup with an exceptionally good outcome and a very high-risk subset of pts. Early strategies aiming to improve TL in poor risk patients could constitute an appealing approach. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 4
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 5132-5132
    Abstract: BACKGROUND Patients with adverse cytogenetic or secondary AML (s-AML) have significantly worse outcomes and lower survival rates. In this high risk subgroup of patients, early consolidation with allogeneic hematopoietic stem cell transplantation (HSCT) in first complete remission (CR1) can improve results, especially in those who achieve negative measurable residual disease (MRD-). More effective treatments than standard 7+3 are needed. CLAG-M is a salvage regimen that has demonstrated high response rates with good tolerance, and seems to be promising in the upfront setting. AIMS To estimate CR and MRD- rates, overall survival (OS) and event free survival (EFS) in transplant eligible patients with high risk AML treated in our center.To compare CR rate and transplant feasibility in CR1 with 7+3 vs. CLAG-M as induction treatment in s-AML. PATIENTS AND METHODS We analyzed adult patients (18-65 years old) with high risk AML (defined by adverse cytogenetic according to ELN2017 or s-AML) who were treated in our institution between 2010 and 2018. All patients were transplant eligible and had an available donor. Clinical information was collected from medical records. We evaluated CR1 and MRD- rates, EFS and OS. We also compared CR rates and HSCT feasibility in s-AML after treatment induction with CLAG-M and 7+3. The survival analysis was estimated with Kaplan-Meier method and the comparison between variables was performed through log-rank test. RESULTS Twenty-one patients were included (13 s-AML and 8 with adverse cytogenetic). The median age at diagnosis was 54 years (21-64); 13 female/8 male. Out of 21 patients, 14 received 7+3 induction and 7 CLAG-M. The median follow-up time was 11 months (0.9-90.8), median EFS and OS for the whole group was 1.05 and 13.5 months, respectively. Two-year OS was 35%. CR1 was achieved in sixteen patients (76%), 10 of them MRD-. The median time to CR1 was 33 days, the median OS of these patients was 26.7 months (figure 1). Eleven patients (52%) were refractory to first induction, 10/14 in the 7+3 subgroup, and only 1/7 patients treated with CLAG-M. Six of them converted to CR after reinduction (5 with CLAG-M). Fourteen (67%) underwent HSCT in CR1. The median time to HSCT consolidation was 106 days. The median relapse free survival in transplanted patients has not been reached (Table 1). Considering only s-AML, 6 patients received 7+3 and 7 CLAG-M. Median age in 7+3 subgroup was 41 vs. 57 years in CLAG-M. The median OS was 13.5 months. In the 7+3 cohort, only 1 achieved CR (16%); the other five received reinduction with CLAG-M, and 4 converted to CR1. The median time to CR1, EFS and OS were 82 days, 1 month and 26 months respectively. In contrast, 4 of the 7 patients (57%) that received CLAG-M achieved CR1, but only 1 of the 3 that were refractory could convert to CR. The median time to CR1 in patients treated with CLAG-M was 27 days, median EFS 7.5 months and median OS has not been reached (Figure 2). There were no statistically significant differences between the two treatment groups. Eight patients (62%) could be bridged to HSCT, 4 of each subgroup (Table 2). CONCLUSIONS Our results in this real life small cohort of high risk AML were similar to historical controls. In the s-AML subgroup, differences between 7+3 and CLAG-M were not statistically significant probably due to the low number of patients analyzed. However, patients who received CLAG-M required less cycles of treatment to achieved CR1, allowing HSCT rapidly in this selected population. Since most of the refractory patients to 7+3 responded to reinduction with CLAG-M, both groups had similar transplant rates. According to our experience CLAG-M might be an attractive treatment option with high CR rates and acceptable safety profile. In this high risk AML population, two thirds of the patients were effectively "bridged" to HSCT with a 2-year OS rate of 35%. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
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  • 5
    In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 11936-11937
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2022
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 6
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 5096-5096
    Abstract: INTRODUCTION Secondary Acute Myeloid Leukemia (s-AML) evolves from a previous hematopoietic clonal disease such as Myelodysplastic Syndromes (MDS/AML), myeloproliferative neoplasia (NPM/AML), medullary insufficiencies - aplastic anemia - (AA/AML) or exposure to chemo or radiotherapy (t-AML). The objective of this work is to describe and highlight the demographic, pathophysiologic and clinical-therapeutic characteristics of s-AML patients compared with p-AML. METHODS This is a retrospective cohort study based on the casuistry from 34 reference centers in Latin America during a period of 10 years (JAN10'-MAY19'). Patients ≥18 years old with primary AML, excluding the promyelocytic subtype (p-AML), and s-AML were admitted. Age, gender, performance status, comorbidity, cytogenetics, mutations, AML subtypes, extramedullary compromise, treatments and overall survival (OS) were analyzed. Statistically, Graph Pad Prism version 5.00 and, SPSS version 17 were used. RESULTS One thousand eleven patients with newly diagnosed AML were recruited, 693 (68.5%) corresponded to p-AML and 318 (31.5%) to s-AML. The demographic differences between p-AML and s-AML are shown on Table 1. Subtypes of s-AML: t-AML (18.5%), MDS/AML (58.2%), NMP/AML (13.5%), AA/AML (5.7%) and others s-AML (4.1%). Global median age was 58 years (R 18-93) and male 52%. Extramedullary compromise in CNS (3.2%) and other organs (5.5%). Seven hundred ninety-three cytogenetic studies were evaluable (based on MRC classification): High (22.3%), Intermediate (68.3%) and Low Risk (9.3%). FLT3 mutation was more frequently found in p-AML. In s-AML, the multivariate study showed short overall survival associated with ECOG ≥2 (HR:2.0), white blood count ≥ 50x109/L at diagnosis (HR:1.9), poor risk karyotype (HR:1.6) and age over 60 years (HR:1.5). At least, 883 patients received treatment (Table 2). During this study period, 211 patients (21%) were transplanted; 49 (23%) were s-AML; histoidentical related donor (46%), haploidentical (39%), non-related (8%) and autologous (7%). The median survival for all AML was 11.0 months with a statistically significant difference in favor of the p-AML (Figure 1). CONCLUSION Performance status (by ECOG ≥2), age ≥60, level of leukocytes a ≥50x109/L, poor risk karyotype and s-AML subtype at diagnosis had a significant worse impact on overall survival. Most patients with s-AML came from MDS, they were older and their incidence increased as the population aged. They presented more comorbidities and worse performance status. Undoubtedly, our findings showed that s-AML is a distinct high risk subset of myeloid disorder with adverse prognosis and represents a therapeutic challenge. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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