Pub Date : 2024-07-16DOI: 10.1038/s41408-024-01101-y
Jessica M. Hislop, Molly Went, Charlie Mills, Amit Sud, Philip J. Law, Richard S. Houlston
{"title":"Using Mendelian Randomisation to search for modifiable risk factors influencing the development of clonal haematopoiesis","authors":"Jessica M. Hislop, Molly Went, Charlie Mills, Amit Sud, Philip J. Law, Richard S. Houlston","doi":"10.1038/s41408-024-01101-y","DOIUrl":"https://doi.org/10.1038/s41408-024-01101-y","url":null,"abstract":"","PeriodicalId":8989,"journal":{"name":"Blood Cancer Journal","volume":"36 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141624879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-12DOI: 10.1038/s41408-024-01087-7
Yu-Hung Wang, Chien-Chin Lin, Kristian Gurashi, Chi-Yuan Yao, Andres Jerez, Hsin-An Hou, Wen-Chien Chou, Hwei-Fang Tien, Kiran Batta, Daniel H. Wiseman
{"title":"Prognostic and therapeutic implications of TP53 expression in chronic myelomonocytic leukemia","authors":"Yu-Hung Wang, Chien-Chin Lin, Kristian Gurashi, Chi-Yuan Yao, Andres Jerez, Hsin-An Hou, Wen-Chien Chou, Hwei-Fang Tien, Kiran Batta, Daniel H. Wiseman","doi":"10.1038/s41408-024-01087-7","DOIUrl":"https://doi.org/10.1038/s41408-024-01087-7","url":null,"abstract":"","PeriodicalId":8989,"journal":{"name":"Blood Cancer Journal","volume":"37 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-10DOI: 10.1038/s41408-024-01089-5
Esperanza Martín-Sánchez, Luis-Esteban Tamariz-Amador, Camila Guerrero, Anastasiia Zherniakova, Aintzane Zabaleta, Catarina Maia, Laura Blanco, Diego Alignani, Maria-Antonia Fortuño, Carlos Grande, Andrea Manubens, Jose-Maria Arguiñano, Clara Gomez, Ernesto Perez-Persona, Iñigo Olazabal, Itziar Oiartzabal, Carlos Panizo, Felipe Prosper, Jesus F. San-Miguel, Paula Rodriguez-Otero, Bruno Paiva
Infection is the leading cause of death in multiple myeloma (MM). However, the cellular composition associated with immune dysfunction is not defined. We analyzed immune profiles in the peripheral blood of patients with MM (n = 28) and B-cell chronic lymphoproliferative disorders (n = 53) vs. health care practitioners (n = 96), using multidimensional and computational flow cytometry. MM patients displayed altered distribution of most cell types (41/56, 73%), particularly within the B-cell (17/17) and T-cell (20/30) compartments. Using COVID-19 as a case study, we compared the immune response to vaccination based on 64,304 data points generated from the analysis of 1099 longitudinal samples. MM patients showed limited B-cell expansion linked to lower anti-RBD and anti-S antibody titers after the first two doses and booster. The percentages of B cells and CD4+ T cells in the blood, as well as the absolute counts of B cells and dendritic cells, predicted vaccine immunogenicity at different time points. In contrast with the humoral response, the percentage and antigen-dependent differentiation of SARS-CoV-2-specific CD8+ T cells was not altered in MM patients. Taken together, this study defined the cellular composition associated with immune dysfunction in MM and provided biomarkers such as the B-cell percentage and absolute count to individualize vaccination calendars.
感染是多发性骨髓瘤(MM)患者死亡的主要原因。然而,与免疫功能障碍相关的细胞组成尚未明确。我们使用多维和计算流式细胞术分析了 MM(28 人)和 B 细胞慢性淋巴组织增生性疾病(53 人)患者外周血中的免疫概况,以及医护人员(96 人)外周血中的免疫概况。MM患者大多数细胞类型(41/56,73%)的分布发生了改变,尤其是B细胞(17/17)和T细胞(20/30)。我们以 COVID-19 为案例,根据对 1099 份纵向样本分析得出的 64,304 个数据点,比较了接种疫苗后的免疫反应。在接种头两剂疫苗和加强剂后,MM 患者显示出有限的 B 细胞扩增,这与较低的抗 RBD 和抗 S 抗体滴度有关。血液中 B 细胞和 CD4+ T 细胞的百分比以及 B 细胞和树突状细胞的绝对数量可预测不同时间点的疫苗免疫原性。与体液反应相反,MM 患者 SARS-CoV-2 特异性 CD8+ T 细胞的百分比和抗原依赖性分化没有改变。总之,这项研究确定了与 MM 免疫功能障碍相关的细胞组成,并提供了生物标志物,如 B 细胞百分比和绝对计数,以制定个体化的疫苗接种计划。
{"title":"Immune dysfunction prior to and during vaccination in multiple myeloma: a case study based on COVID-19","authors":"Esperanza Martín-Sánchez, Luis-Esteban Tamariz-Amador, Camila Guerrero, Anastasiia Zherniakova, Aintzane Zabaleta, Catarina Maia, Laura Blanco, Diego Alignani, Maria-Antonia Fortuño, Carlos Grande, Andrea Manubens, Jose-Maria Arguiñano, Clara Gomez, Ernesto Perez-Persona, Iñigo Olazabal, Itziar Oiartzabal, Carlos Panizo, Felipe Prosper, Jesus F. San-Miguel, Paula Rodriguez-Otero, Bruno Paiva","doi":"10.1038/s41408-024-01089-5","DOIUrl":"https://doi.org/10.1038/s41408-024-01089-5","url":null,"abstract":"<p>Infection is the leading cause of death in multiple myeloma (MM). However, the cellular composition associated with immune dysfunction is not defined. We analyzed immune profiles in the peripheral blood of patients with MM (<i>n</i> = 28) and B-cell chronic lymphoproliferative disorders (<i>n</i> = 53) vs. health care practitioners (<i>n</i> = 96), using multidimensional and computational flow cytometry. MM patients displayed altered distribution of most cell types (41/56, 73%), particularly within the B-cell (17/17) and T-cell (20/30) compartments. Using COVID-19 as a case study, we compared the immune response to vaccination based on 64,304 data points generated from the analysis of 1099 longitudinal samples. MM patients showed limited B-cell expansion linked to lower anti-RBD and anti-S antibody titers after the first two doses and booster. The percentages of B cells and CD4<sup>+</sup> T cells in the blood, as well as the absolute counts of B cells and dendritic cells, predicted vaccine immunogenicity at different time points. In contrast with the humoral response, the percentage and antigen-dependent differentiation of SARS-CoV-2-specific CD8<sup>+</sup> T cells was not altered in MM patients. Taken together, this study defined the cellular composition associated with immune dysfunction in MM and provided biomarkers such as the B-cell percentage and absolute count to individualize vaccination calendars.</p>","PeriodicalId":8989,"journal":{"name":"Blood Cancer Journal","volume":"37 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141566150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-08DOI: 10.1038/s41408-024-01088-6
Ajai Chari, Jonathan L. Kaufman, Jacob Laubach, Douglas W. Sborov, Brandi Reeves, Cesar Rodriguez, Rebecca Silbermann, Luciano J. Costa, Larry D. Anderson, Nitya Nathwani, Nina Shah, Naresh Bumma, Sarah A. Holstein, Caitlin Costello, Andrzej Jakubowiak, Tanya M. Wildes, Robert Z. Orlowski, Kenneth H. Shain, Andrew J. Cowan, Huiling Pei, Annelore Cortoos, Sharmila Patel, Thomas S. Lin, Peter M. Voorhees, Saad Z. Usmani, Paul G. Richardson
The randomized, phase 2 GRIFFIN study (NCT02874742) evaluated daratumumab plus lenalidomide/bortezomib/dexamethasone (D-RVd) in transplant-eligible newly diagnosed multiple myeloma (NDMM). We present final post hoc analyses (median follow-up, 49.6 months) of clinically relevant subgroups, including patients with high-risk cytogenetic abnormalities (HRCAs) per revised definition (del[17p], t[4;14], t[14;16], t[14;20], and/or gain/amp[1q21]). Patients received 4 induction cycles (D-RVd/RVd), high-dose therapy/transplant, 2 consolidation cycles (D-RVd/RVd), and lenalidomide±daratumumab maintenance (≤ 2 years). Minimal residual disease–negativity (10−5) rates were higher for D-RVd versus RVd in patients ≥ 65 years (67.9% vs 17.9%), with HRCAs (54.8% vs 32.4%), and with gain/amp(1q21) (61.8% vs 28.6%). D-RVd showed a trend toward improved progression-free survival versus RVd (hazard ratio [95% confidence interval]) in patients ≥ 65 years (0.29 [0.06–1.48]), with HRCAs (0.38 [0.14–1.01]), and with gain/amp(1q21) (0.42 [0.14–1.27]). In the functional high-risk subgroup (not MRD negative at the end of consolidation), the hazard ratio was 0.82 (0.35–1.89). Among patients ≥ 65 years, grade 3/4 treatment-emergent adverse event (TEAE) rates were higher for D-RVd versus RVd (88.9% vs 77.8%), as were TEAEs leading to discontinuation of ≥ 1 treatment component (37.0% vs 25.9%). One D-RVd patient died due to an unrelated TEAE. These results support the addition of daratumumab to RVd in transplant-eligible patients with high-risk NDMM.
Video Abstract
随机2期GRIFFIN研究(NCT02874742)评估了达拉单抗联合来那度胺/硼替佐米/地塞米松(D-RVd)治疗符合移植条件的新诊断多发性骨髓瘤(NDMM)。我们对临床相关亚组进行了最终的事后分析(中位随访时间为 49.6 个月),包括根据修订后的定义(del[17p]、t[4;14]、t[14;16]、t[14;20]和/或 gain/amp[1q21])出现高危细胞遗传学异常(HRCAs)的患者。患者接受4个诱导周期(D-RVd/RVd)、大剂量治疗/移植、2个巩固周期(D-RVd/RVd)和来那度胺±达拉单抗维持治疗(≤2年)。在年龄≥65岁(67.9% vs 17.9%)、HRCAs(54.8% vs 32.4%)和增益/amp(1q21)(61.8% vs 28.6%)的患者中,D-RVd与RVd相比,最小残留病灶阴性率(10-5)更高。在年龄≥65 岁(0.29 [0.06-1.48])、患有 HRCAs(0.38 [0.14-1.01])和患有增益/amp(1q21)(0.42 [0.14-1.27])的患者中,D-RVd 与 RVd 相比显示出无进展生存期改善的趋势(危险比 [95% 置信区间])。在功能性高危亚组(巩固治疗结束时MRD未阴性)中,危险比为0.82(0.35-1.89)。在年龄≥65岁的患者中,D-RVd与RVd相比,3/4级治疗突发不良事件(TEAE)发生率更高(88.9% vs 77.8%),导致中断≥一种治疗成分的TEAE发生率也更高(37.0% vs 25.9%)。一名D-RVd患者死于与此无关的TEAE。这些结果支持在符合移植条件的高危NDMM患者中将达拉单抗加入RVd。
{"title":"Daratumumab in transplant-eligible patients with newly diagnosed multiple myeloma: final analysis of clinically relevant subgroups in GRIFFIN","authors":"Ajai Chari, Jonathan L. Kaufman, Jacob Laubach, Douglas W. Sborov, Brandi Reeves, Cesar Rodriguez, Rebecca Silbermann, Luciano J. Costa, Larry D. Anderson, Nitya Nathwani, Nina Shah, Naresh Bumma, Sarah A. Holstein, Caitlin Costello, Andrzej Jakubowiak, Tanya M. Wildes, Robert Z. Orlowski, Kenneth H. Shain, Andrew J. Cowan, Huiling Pei, Annelore Cortoos, Sharmila Patel, Thomas S. Lin, Peter M. Voorhees, Saad Z. Usmani, Paul G. Richardson","doi":"10.1038/s41408-024-01088-6","DOIUrl":"https://doi.org/10.1038/s41408-024-01088-6","url":null,"abstract":"<p>The randomized, phase 2 GRIFFIN study (NCT02874742) evaluated daratumumab plus lenalidomide/bortezomib/dexamethasone (D-RVd) in transplant-eligible newly diagnosed multiple myeloma (NDMM). We present final post hoc analyses (median follow-up, 49.6 months) of clinically relevant subgroups, including patients with high-risk cytogenetic abnormalities (HRCAs) per revised definition (del[17p], t[4;14], t[14;16], t[14;20], and/or gain/amp[1q21]). Patients received 4 induction cycles (D-RVd/RVd), high-dose therapy/transplant, 2 consolidation cycles (D-RVd/RVd), and lenalidomide±daratumumab maintenance (≤ 2 years). Minimal residual disease–negativity (10<sup>−5</sup>) rates were higher for D-RVd versus RVd in patients ≥ 65 years (67.9% vs 17.9%), with HRCAs (54.8% vs 32.4%), and with gain/amp(1q21) (61.8% vs 28.6%). D-RVd showed a trend toward improved progression-free survival versus RVd (hazard ratio [95% confidence interval]) in patients ≥ 65 years (0.29 [0.06–1.48]), with HRCAs (0.38 [0.14–1.01]), and with gain/amp(1q21) (0.42 [0.14–1.27]). In the functional high-risk subgroup (not MRD negative at the end of consolidation), the hazard ratio was 0.82 (0.35–1.89). Among patients ≥ 65 years, grade 3/4 treatment-emergent adverse event (TEAE) rates were higher for D-RVd versus RVd (88.9% vs 77.8%), as were TEAEs leading to discontinuation of ≥ 1 treatment component (37.0% vs 25.9%). One D-RVd patient died due to an unrelated TEAE. These results support the addition of daratumumab to RVd in transplant-eligible patients with high-risk NDMM.</p><figure></figure><script src=\"//e.video-cdn.net/v2/embed.js\"></script><p>Video Abstract</p>","PeriodicalId":8989,"journal":{"name":"Blood Cancer Journal","volume":"49 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141557148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-08DOI: 10.1038/s41408-024-01091-x
Andrew J Yee
{"title":"Improving outcomes with anti-BCMA bispecific antibodies with attention to infection.","authors":"Andrew J Yee","doi":"10.1038/s41408-024-01091-x","DOIUrl":"10.1038/s41408-024-01091-x","url":null,"abstract":"","PeriodicalId":8989,"journal":{"name":"Blood Cancer Journal","volume":"14 1","pages":"110"},"PeriodicalIF":12.9,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11231296/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141557970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-08DOI: 10.1038/s41408-024-01084-w
Mazyar Shadman, Kwang W. Ahn, Manmeet Kaur, Lazaros Lekakis, Amer Beitinjaneh, Madiha Iqbal, Nausheen Ahmed, Brian Hill, Nasheed M. Hossain, Peter Riedell, Ajay K. Gopal, Natalie Grover, Matthew Frigault, Jonathan Brammer, Nilanjan Ghosh, Reid Merryman, Aleksandr Lazaryan, Ron Ram, Mark Hertzberg, Bipin Savani, Farrukh Awan, Farhad Khimani, Sairah Ahmed, Vaishalee P. Kenkre, Matthew Ulrickson, Nirav Shah, Mohamed A. Kharfan-Dabaja, Alex Herrera, Craig Sauter, Mehdi Hamadani
In patients with relapsed DLBCL in complete remission (CR), autologous hematopoietic cell transplantation (auto-HCT) and CAR-T therapy are both effective, but it is unknown which modality provides superior outcomes. We compared the efficacy of auto-HCT vs. CAR-T in patients with DLBCL in a CR. A retrospective observational study comparing auto-HCT (2015–2021) vs. CAR-T (2018–2021) using the Center for International Blood & Marrow Transplant Research registry. Median follow-up was 49.7 months for the auto-HCT and 24.7 months for the CAR-T cohort. Patients ages 18 and 75 with a diagnosis of DLBCL were included if they received auto-HCT (n = 281) or commercial CAR-T (n = 79) while in a CR. Patients undergoing auto-HCT with only one prior therapy line and CAR-T patients with a previous history of auto-HCT treatment were excluded. Endpoints included Progression-free survival (PFS), relapse rate, non-relapse mortality (NRM) and overall survival (OS). In univariate analysis, treatment with auto-HCT was associated with a higher rate of 2-year PFS (66.2% vs. 47.8%; p < 0.001), a lower 2-year cumulative incidence of relapse (27.8% vs. 48% ; p < 0.001), and a superior 2-year OS (78.9% vs. 65.6%; p = 0.037). In patients with early (within 12 months) treatment failure, auto-HCT was associated with a superior 2-year PFS (70.9% vs. 48.3% ; p < 0.001), lower 2-year cumulative incidence of relapse (22.8% vs. 45.9% ; p < 0.001) and trend for higher 2-year OS (82.4% vs. 66.1% ; p = 0.076). In the multivariable analysis, treatment with auto-HCT was associated with a superior PFS (hazard ratio 1.83; p = 0.0011) and lower incidence of relapse (hazard ratio 2.18; p < 0.0001) compared to CAR-T. In patients with relapsed LBCL who achieve a CR, treatment with auto-HCT is associated with improved clinical outcomes compared to CAR-T. These data support the consideration of auto-HCT in select patients with LBCL achieving a CR in the relapsed setting.
对于完全缓解(CR)的复发性DLBCL患者,自体造血细胞移植(auto-HCT)和CAR-T疗法都很有效,但哪种方法疗效更好尚不清楚。我们比较了自体造血细胞移植与 CAR-T 在 CR 期 DLBCL 患者中的疗效。这是一项回顾性观察研究,利用国际血液& 骨髓移植研究中心的登记资料,比较了自体血细胞移植(2015-2021年)与CAR-T(2018-2021年)。自体血细胞移植的中位随访时间为49.7个月,CAR-T队列的中位随访时间为24.7个月。年龄在18至75岁之间、诊断为DLBCL的患者,如果在CR期间接受了自体血细胞移植(281人)或商业CAR-T(79人),均被纳入研究范围。接受自体血细胞移植且之前只接受过一种疗法的患者和之前接受过自体血细胞移植治疗的 CAR-T 患者不包括在内。终点包括无进展生存期(PFS)、复发率、非复发死亡率(NRM)和总生存期(OS)。在单变量分析中,采用自体血细胞移植治疗与较高的两年无进展生存率(66.2% vs. 47.8%;p < 0.001)、较低的两年累计复发率(27.8% vs. 48%;p < 0.001)和较好的两年总生存率(78.9% vs. 65.6%;p = 0.037)相关。在早期(12个月内)治疗失败的患者中,自体血细胞移植与较好的2年PFS(70.9% vs. 48.3%; p <0.001)、较低的2年累计复发率(22.8% vs. 45.9%; p <0.001)和较高的2年OS(82.4% vs. 66.1%; p = 0.076)相关。在多变量分析中,与CAR-T相比,自体血细胞移植治疗具有更优的PFS(危险比1.83;p = 0.0011)和更低的复发率(危险比2.18;p <;0.0001)。对于达到CR的复发LBCL患者,与CAR-T相比,自体血细胞移植治疗可改善临床预后。这些数据支持考虑在复发的LBCL患者中选择达到CR的患者进行自体血细胞移植。
{"title":"Autologous transplant vs. CAR-T therapy in patients with DLBCL treated while in complete remission","authors":"Mazyar Shadman, Kwang W. Ahn, Manmeet Kaur, Lazaros Lekakis, Amer Beitinjaneh, Madiha Iqbal, Nausheen Ahmed, Brian Hill, Nasheed M. Hossain, Peter Riedell, Ajay K. Gopal, Natalie Grover, Matthew Frigault, Jonathan Brammer, Nilanjan Ghosh, Reid Merryman, Aleksandr Lazaryan, Ron Ram, Mark Hertzberg, Bipin Savani, Farrukh Awan, Farhad Khimani, Sairah Ahmed, Vaishalee P. Kenkre, Matthew Ulrickson, Nirav Shah, Mohamed A. Kharfan-Dabaja, Alex Herrera, Craig Sauter, Mehdi Hamadani","doi":"10.1038/s41408-024-01084-w","DOIUrl":"https://doi.org/10.1038/s41408-024-01084-w","url":null,"abstract":"<p>In patients with relapsed DLBCL in complete remission (CR), autologous hematopoietic cell transplantation (auto-HCT) and CAR-T therapy are both effective, but it is unknown which modality provides superior outcomes. We compared the efficacy of auto-HCT vs. CAR-T in patients with DLBCL in a CR. A retrospective observational study comparing auto-HCT (2015–2021) vs. CAR-T (2018–2021) using the Center for International Blood & Marrow Transplant Research registry. Median follow-up was 49.7 months for the auto-HCT and 24.7 months for the CAR-T cohort. Patients ages 18 and 75 with a diagnosis of DLBCL were included if they received auto-HCT (<i>n</i> = 281) or commercial CAR-T (<i>n</i> = 79) while in a CR. Patients undergoing auto-HCT with only one prior therapy line and CAR-T patients with a previous history of auto-HCT treatment were excluded. Endpoints included Progression-free survival (PFS), relapse rate, non-relapse mortality (NRM) and overall survival (OS). In univariate analysis, treatment with auto-HCT was associated with a higher rate of 2-year PFS (66.2% vs. 47.8%; <i>p</i> < 0.001), a lower 2-year cumulative incidence of relapse (27.8% vs. 48% ; <i>p</i> < 0.001), and a superior 2-year OS (78.9% vs. 65.6%; <i>p</i> = 0.037). In patients with early (within 12 months) treatment failure, auto-HCT was associated with a superior 2-year PFS (70.9% vs. 48.3% ; <i>p</i> < 0.001), lower 2-year cumulative incidence of relapse (22.8% vs. 45.9% ; <i>p</i> < 0.001) and trend for higher 2-year OS (82.4% vs. 66.1% ; <i>p</i> = 0.076). In the multivariable analysis, treatment with auto-HCT was associated with a superior PFS (hazard ratio 1.83; <i>p</i> = 0.0011) and lower incidence of relapse (hazard ratio 2.18; <i>p</i> < 0.0001) compared to CAR-T. In patients with relapsed LBCL who achieve a CR, treatment with auto-HCT is associated with improved clinical outcomes compared to CAR-T. These data support the consideration of auto-HCT in select patients with LBCL achieving a CR in the relapsed setting.</p>","PeriodicalId":8989,"journal":{"name":"Blood Cancer Journal","volume":"29 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141557147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-05DOI: 10.1038/s41408-024-01085-9
Philipp Berning, Mathilde Fekom, Maud Ngoya, Anthony H Goldstone, Peter Dreger, Silvia Montoto, Hervé Finel, Evgenii Shumilov, Patrice Chevallier, Didier Blaise, Tim Strüssmann, Ben Carpenter, Edouard Forcade, Cristina Castilla-Llorente, Marek Trneny, Hervé Ghesquieres, Saveria Capria, Catherine Thieblemont, Igor Wolfgang Blau, Ellen Meijer, Annoek E C Broers, Anne Huynh, Denis Caillot, Wolf Rösler, Stephanie Nguyen Quoc, Jörg Bittenbring, Arnon Nagler, Jacques-Emmanuel Galimard, Bertram Glass, Anna Sureda, Norbert Schmitz
Autologous(auto-) and allogeneic(allo-) hematopoietic stem cell transplantation (HSCT) are key treatments for relapsed/refractory diffuse large B-cell lymphoma (DLBCL), although their roles are challenged by CAR-T-cells and other immunotherapies. We examined the transplantation trends and outcomes for DLBCL patients undergoing auto-/allo-HSCT between 1990 and 2021 reported to EBMT. Over this period, 41,148 patients underwent auto-HSCT, peaking at 1911 cases in 2016, while allo-HSCT saw a maximum of 294 cases in 2018. The recent decline in transplants corresponds to increased CAR-T treatments (1117 cases in 2021). Median age for auto-HSCT rose from 42 (1990-1994) to 58 years (2015-2021), with peripheral blood becoming the primary stem cell source post-1994. Allo-HSCT median age increased from 36 (1990-1994) to 54 (2015-2021) years, with mobilized blood as the primary source post-1998 and reduced intensity conditioning post-2000. Unrelated and mismatched allo-HSCT accounted for 50% and 19% of allo-HSCT in 2015-2021. Three-year overall survival (OS) after auto-HSCT improved from 56% (1990-1994) to 70% (2015-2021), p < 0.001, with a decrease in relapse incidence (RI) from 49% to 38%, while non-relapse mortality (NRM) remained unchanged (4%). After allo-HSCT, 3-year-OS increased from 33% (1990-1999) to 46% (2015-2021) (p < 0.001); 3-year RI remained at 39% and 1-year-NRM decreased to 19% (p < 0.001). Our data reflect advancements over 32 years and >40,000 transplants, providing insights for evaluating emerging DLBCL therapies.
{"title":"Hematopoietic stem cell transplantation for DLBCL: a report from the European Society for Blood and Marrow Transplantation on more than 40,000 patients over 32 years.","authors":"Philipp Berning, Mathilde Fekom, Maud Ngoya, Anthony H Goldstone, Peter Dreger, Silvia Montoto, Hervé Finel, Evgenii Shumilov, Patrice Chevallier, Didier Blaise, Tim Strüssmann, Ben Carpenter, Edouard Forcade, Cristina Castilla-Llorente, Marek Trneny, Hervé Ghesquieres, Saveria Capria, Catherine Thieblemont, Igor Wolfgang Blau, Ellen Meijer, Annoek E C Broers, Anne Huynh, Denis Caillot, Wolf Rösler, Stephanie Nguyen Quoc, Jörg Bittenbring, Arnon Nagler, Jacques-Emmanuel Galimard, Bertram Glass, Anna Sureda, Norbert Schmitz","doi":"10.1038/s41408-024-01085-9","DOIUrl":"10.1038/s41408-024-01085-9","url":null,"abstract":"<p><p>Autologous(auto-) and allogeneic(allo-) hematopoietic stem cell transplantation (HSCT) are key treatments for relapsed/refractory diffuse large B-cell lymphoma (DLBCL), although their roles are challenged by CAR-T-cells and other immunotherapies. We examined the transplantation trends and outcomes for DLBCL patients undergoing auto-/allo-HSCT between 1990 and 2021 reported to EBMT. Over this period, 41,148 patients underwent auto-HSCT, peaking at 1911 cases in 2016, while allo-HSCT saw a maximum of 294 cases in 2018. The recent decline in transplants corresponds to increased CAR-T treatments (1117 cases in 2021). Median age for auto-HSCT rose from 42 (1990-1994) to 58 years (2015-2021), with peripheral blood becoming the primary stem cell source post-1994. Allo-HSCT median age increased from 36 (1990-1994) to 54 (2015-2021) years, with mobilized blood as the primary source post-1998 and reduced intensity conditioning post-2000. Unrelated and mismatched allo-HSCT accounted for 50% and 19% of allo-HSCT in 2015-2021. Three-year overall survival (OS) after auto-HSCT improved from 56% (1990-1994) to 70% (2015-2021), p < 0.001, with a decrease in relapse incidence (RI) from 49% to 38%, while non-relapse mortality (NRM) remained unchanged (4%). After allo-HSCT, 3-year-OS increased from 33% (1990-1999) to 46% (2015-2021) (p < 0.001); 3-year RI remained at 39% and 1-year-NRM decreased to 19% (p < 0.001). Our data reflect advancements over 32 years and >40,000 transplants, providing insights for evaluating emerging DLBCL therapies.</p>","PeriodicalId":8989,"journal":{"name":"Blood Cancer Journal","volume":"14 1","pages":"106"},"PeriodicalIF":12.9,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11226679/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141537485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-04DOI: 10.1038/s41408-024-01090-y
Richard Norris, John Jones, Erika Mancini, Timothy Chevassut, Fabio A. Simoes, Chris Pepper, Andrea Pepper, Simon Mitchell
Genetic heterogeneity and co-occurring driver mutations impact clinical outcomes in blood cancers, but predicting the emergent effect of co-occurring mutations that impact multiple complex and interacting signalling networks is challenging. Here, we used mathematical models to predict the impact of co-occurring mutations on cellular signalling and cell fates in diffuse large B cell lymphoma and multiple myeloma. Simulations predicted adverse impact on clinical prognosis when combinations of mutations induced both anti-apoptotic (AA) and pro-proliferative (PP) signalling. We integrated patient-specific mutational profiles into personalised lymphoma models, and identified patients characterised by simultaneous upregulation of anti-apoptotic and pro-proliferative (AAPP) signalling in all genomic and cell-of-origin classifications (8-25% of patients). In a discovery cohort and two validation cohorts, patients with upregulation of neither, one (AA or PP), or both (AAPP) signalling states had good, intermediate and poor prognosis respectively. Combining AAPP signalling with genetic or clinical prognostic predictors reliably stratified patients into striking prognostic categories. AAPP patients in poor prognosis genetic clusters had 7.8 months median overall survival, while patients lacking both features had 90% overall survival at 120 months in a validation cohort. Personalised computational models enable identification of novel risk-stratified patient subgroups, providing a valuable tool for future risk-adapted clinical trials.
{"title":"Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data","authors":"Richard Norris, John Jones, Erika Mancini, Timothy Chevassut, Fabio A. Simoes, Chris Pepper, Andrea Pepper, Simon Mitchell","doi":"10.1038/s41408-024-01090-y","DOIUrl":"https://doi.org/10.1038/s41408-024-01090-y","url":null,"abstract":"<p>Genetic heterogeneity and co-occurring driver mutations impact clinical outcomes in blood cancers, but predicting the emergent effect of co-occurring mutations that impact multiple complex and interacting signalling networks is challenging. Here, we used mathematical models to predict the impact of co-occurring mutations on cellular signalling and cell fates in diffuse large B cell lymphoma and multiple myeloma. Simulations predicted adverse impact on clinical prognosis when combinations of mutations induced both anti-apoptotic (AA) and pro-proliferative (PP) signalling. We integrated patient-specific mutational profiles into personalised lymphoma models, and identified patients characterised by simultaneous upregulation of anti-apoptotic and pro-proliferative (AAPP) signalling in all genomic and cell-of-origin classifications (8-25% of patients). In a discovery cohort and two validation cohorts, patients with upregulation of neither, one (AA or PP), or both (AAPP) signalling states had good, intermediate and poor prognosis respectively. Combining AAPP signalling with genetic or clinical prognostic predictors reliably stratified patients into striking prognostic categories. AAPP patients in poor prognosis genetic clusters had 7.8 months median overall survival, while patients lacking both features had 90% overall survival at 120 months in a validation cohort. Personalised computational models enable identification of novel risk-stratified patient subgroups, providing a valuable tool for future risk-adapted clinical trials.</p>","PeriodicalId":8989,"journal":{"name":"Blood Cancer Journal","volume":"9 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141521301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}