1
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Shelton V, Detroja R, Liu T, Isaev K, Silva A, Passerini V, Bakhtiari M, Calvente L, Hong M, He MY, Modi S, Hershenfeld SA, Ludvigsen M, Madsen C, Hamilton-Dutoit S, d'Amore FA, Brodtkorb M, Johnson NA, Baetz T, LeBrun D, Tobin JWD, Gandhi MK, Mungall AJ, Xu W, Ben-Neriah S, Steidl C, Delabie J, Tremblay-LeMay R, Jegede O, Weigert O, Kahl B, Evens AM, Kridel R. Identification of genetic subtypes in follicular lymphoma. Blood Cancer J 2024; 14:128. [PMID: 39112453 PMCID: PMC11306633 DOI: 10.1038/s41408-024-01111-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 07/17/2024] [Accepted: 07/24/2024] [Indexed: 08/10/2024] Open
Abstract
Follicular lymphoma (FL) exhibits considerable variability in biological features and clinical trajectories across patients. To dissect the diversity of FL, we utilized a Bernoulli mixture model to identify genetic subtypes in 713 pre-treatment tumor tissue samples. Our analysis revealed the existence of five subtypes with unique genetic profiles that correlated with clinicopathological characteristics. The clusters were enriched in specific mutations as follows: CS (CREBBP and STAT6), TT (TNFAIP3 and TP53), GM (GNA13 and MEF2B), Q (quiescent, for low mutation burden), and AR (mutations of mTOR pathway-related genes). The subtype Q was enriched for patients with stage I disease and associated with a lower proliferative history than the other subtypes. The AR subtype was unique in its enrichment for IgM-expressing FL cases and was associated with advanced-stage and more than 4 nodal sites. The existence of subtypes was validated in an independent cohort of 418 samples from the GALLIUM trial. Notably, patients assigned to the TT subtype consistently experienced inferior progression-free survival when treated with immunochemotherapy. Our findings offer insight into core pathways distinctly linked with each FL cluster and are expected to be informative in the era of targeted therapies.
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Affiliation(s)
- Victoria Shelton
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada
| | - Rajesh Detroja
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada
| | - Ting Liu
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada
| | - Keren Isaev
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada
| | - Anjali Silva
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada
- Vector Institute, Toronto, ON, Canada
| | - Verena Passerini
- Department of Internal Medicine III, Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Mehran Bakhtiari
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada
| | - Lourdes Calvente
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada
| | - Michael Hong
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada
| | - Michael Y He
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada
| | - Saloni Modi
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada
| | | | - Maja Ludvigsen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Charlotte Madsen
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Francesco Annibale d'Amore
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | | | | | - Tara Baetz
- Department of Oncology, Queen's University, Kingston, ON, Canada
| | - David LeBrun
- Department of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada
| | - Josh W D Tobin
- Mater Research University of Queensland, Brisbane, QLD, Australia
- Department of Haematology, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Maher K Gandhi
- Mater Research University of Queensland, Brisbane, QLD, Australia
- Department of Haematology, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Andrew J Mungall
- Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC, Canada
| | - Wei Xu
- Department of Biostatistics, Princess Margaret Cancer Centre, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | | | | | - Jan Delabie
- Laboratory and Medicine Program, University Health Network, Toronto, ON, Canada
| | | | | | - Oliver Weigert
- Department of Internal Medicine III, Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
- German Cancer Consortium (DKTK), Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Brad Kahl
- Washington University, St. Louis, MO, USA
| | | | - Robert Kridel
- Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada.
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2
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Fernández-Miranda I, Pedrosa L, González-Rincón J, Espinet B, de la Cruz Vicente F, Climent F, Gómez S, Royuela A, Camacho FI, Martín-Acosta P, Yanguas-Casás N, Domínguez M, Méndez M, Colomo L, Salar A, Horcajo B, Navarro M, García-Cosío M, Piris-Villaespesa M, Llanos M, García JF, Sequero S, Mercadal S, García-Hernández S, Navarro B, Mollejo M, Provencio M, Sánchez-Beato M. Generation and External Validation of a Histologic Transformation Risk Model for Patients with Follicular Lymphoma. Mod Pathol 2024; 37:100516. [PMID: 38763418 DOI: 10.1016/j.modpat.2024.100516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 04/23/2024] [Accepted: 05/04/2024] [Indexed: 05/21/2024]
Abstract
Follicular lymphoma (FL) is the most frequent indolent lymphoma. Some patients (10%-15%) experience histologic transformation (HT) to a more aggressive lymphoma, usually diffuse large B-cell lymphoma (DLBCL). This study aimed to validate and improve a genetic risk model to predict HT at diagnosis.We collected mutational data from diagnosis biopsies of 64 FL patients. We combined them with the data from a previously published cohort (total n = 104; 62 from nontransformed and 42 from patients who did transform to DLBCL). This combined cohort was used to develop a nomogram to estimate the risk of HT. Prognostic mutated genes and clinical variables were assessed using Cox regression analysis to generate a risk model. The model was internally validated by bootstrapping and externally validated in an independent cohort. Its performance was evaluated using a concordance index and a calibration curve. The clinicogenetic nomogram included the mutational status of 3 genes (HIST1HE1, KMT2D, and TNFSR14) and high-risk Follicular Lymphoma International Prognostic Index and predicted HT with a concordance index of 0.746. Patients were classified as being at low or high risk of transformation. The probability HT function at 24 months was 0.90 in the low-risk group vs 0.51 in the high-risk group and, at 60 months, 0.71 vs 0.15, respectively. In the external validation cohort, the probability HT function in the low-risk group was 0.86 vs 0.54 in the high-risk group at 24 months, and 0.71 vs 0.32 at 60 months. The concordance index in the external cohort was 0.552. In conclusion, we propose a clinicogenetic risk model to predict FL HT to DLBLC, combining genetic alterations in HIST1H1E, KMT2D, and TNFRSF14 genes and clinical features (Follicular Lymphoma International Prognostic Index) at diagnosis. This model could improve the management of FL patients and allow treatment strategies that would prevent or delay transformation.
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MESH Headings
- Humans
- Lymphoma, Follicular/genetics
- Lymphoma, Follicular/pathology
- Female
- Male
- Middle Aged
- Aged
- Nomograms
- Adult
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/pathology
- Cell Transformation, Neoplastic/genetics
- Cell Transformation, Neoplastic/pathology
- Risk Assessment
- Aged, 80 and over
- Mutation
- Risk Factors
- Prognosis
- Biomarkers, Tumor/genetics
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Affiliation(s)
- Ismael Fernández-Miranda
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Lucía Pedrosa
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Julia González-Rincón
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain; CoE Data Intelligence, Fujitsu Technology Solutions S.A., Pozuelo de Alarcón, Madrid, Spain
| | - Blanca Espinet
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain; Department of Pathology, Hospital del Mar, Barcelona, Spain
| | - Fátima de la Cruz Vicente
- Department of Hematology, Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS)/CSIC/Universidad de Sevilla, Seville, Spain
| | - Fina Climent
- Department of Pathology, Hospital Universitari de Bellvitge-IDIBELL, Barcelona, Spain
| | - Sagrario Gómez
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Ana Royuela
- Biostatistics Unit, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA. CIBERESP, ISCIII. Madrid, Spain
| | | | - Paloma Martín-Acosta
- Department of Pathology, Cancer Molecular Pathology Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Natalia Yanguas-Casás
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain; Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Marina Domínguez
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Miriam Méndez
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain; Department of Medical Oncology, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Luis Colomo
- Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Antonio Salar
- Department of Hematology, Hospital del Mar, Barcelona, Spain
| | - Beatriz Horcajo
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Marta Navarro
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Mónica García-Cosío
- Department of Pathology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | | | - Marta Llanos
- Department of Oncology, Hospital Universitario de Canarias, Tenerife, Spain
| | - Juan F García
- Department of Pathology, Hospital MD Anderson Cancer Center, Madrid, Spain
| | - Silvia Sequero
- Department of Oncology, Hospital Universitario San Cecilio, Granada, Spain
| | - Santiago Mercadal
- Department of Hematology, ICO-Hospital Duran I Reynals, Barcelona, Spain
| | | | - Belén Navarro
- Department of Hematology, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain
| | - Manuela Mollejo
- Department of Pathology, Complejo Hospitalario de Toledo, Spain
| | - Mariano Provencio
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain; Department of Medical Oncology, Hospital Universitario Puerta de Hierro-Majadahonda, Facultad de Medicina, Universidad Autónoma de Madrid, IDIPHISA, Madrid, Spain
| | - Margarita Sánchez-Beato
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain.
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3
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Sarkozy C, Wu S, Takata K, Aoki T, Neriah SB, Milne K, Goodyear T, Strong C, Rastogi T, Hilton LK, Lai D, Sehn LH, Farinha P, Nelson BH, Weng A, Marra M, Scott DW, Craig JW, Steidl C, Roth A. Integrated single cell analysis reveals co-evolution of malignant B cells and tumor micro-environment in transformed follicular lymphoma. Cancer Cell 2024; 42:1003-1017.e6. [PMID: 38861923 DOI: 10.1016/j.ccell.2024.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 02/12/2024] [Accepted: 05/09/2024] [Indexed: 06/13/2024]
Abstract
Histological transformation of follicular lymphoma (FL) to aggressive forms is associated with poor outcome. Phenotypic consequences of this evolution and its impact on the tumor microenvironment (TME) remain unknown. We perform single-cell whole genome sequencing (scWGS) and transcriptome sequencing (scWTS) of 11 paired pre/post-transformation patient samples and scWTS of additional samples from patients without transformation. Our analysis reveals evolutionary dynamics of transformation at single-cell resolution, highlighting a shifting TME landscape, with an emerging immune-cell exhaustion signature, co-evolving with the shifting malignant B phenotype in a regulatory ecosystem. Integration of scWGS and scWTS identifies malignant cell pathways upregulated during clonal tumor evolution. Using multi-color immunofluorescence, we transfer these findings to a TME-based transformation biomarker, subsequently validated in two independent pretreatment cohorts. Taken together, our results provide a comprehensive view of the combined genomic and phenotypic evolution of malignant cells during transformation and shifting crosstalk between malignant cells and the TME.
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Affiliation(s)
- Clémentine Sarkozy
- Hematology Department, Institut Curie, Saint Cloud, France; University PSL, Inserm U1288, Laboratoire d'Imagerie Translationnelle en Oncologie, 91400 Orsay, France
| | - Shaocheng Wu
- Department of Molecular Oncology, British Columbia Cancer, Vancouver, BC, Canada
| | - Katsuyoshi Takata
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada
| | - Tomohiro Aoki
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Susana B Neriah
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada
| | - Katy Milne
- Deeley Research Centre, British Columbia Cancer, Vancouver, BC, Canada; Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada
| | - Talia Goodyear
- Deeley Research Centre, British Columbia Cancer, Vancouver, BC, Canada; Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada
| | - Celia Strong
- Deeley Research Centre, British Columbia Cancer, Vancouver, BC, Canada; Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada
| | - Tashi Rastogi
- Deeley Research Centre, British Columbia Cancer, Vancouver, BC, Canada; Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada
| | - Laura K Hilton
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada
| | - Daniel Lai
- Department of Molecular Oncology, British Columbia Cancer, Vancouver, BC, Canada
| | - Laurie H Sehn
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada
| | - Pedro Farinha
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada
| | - Brad H Nelson
- Deeley Research Centre, British Columbia Cancer, Vancouver, BC, Canada; Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Andrew Weng
- Terry Fox Laboratory, British Columbia Cancer, Vancouver, BC, Canada
| | - Marco Marra
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada; Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer, Vancouver, BC, Canada
| | - David W Scott
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada
| | - Jeffrey W Craig
- Department of Pathology, University of Virginia Health System, Charlottesville, VA, USA
| | - Christian Steidl
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Andrew Roth
- Department of Molecular Oncology, British Columbia Cancer, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada; Department of Computer Science, University of British Columbia, Vancouver, BC, Canada.
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4
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Sun C, Liu C, Liu X, Wu Z, Luo J, Liu R, Wang Y, Lu M, Wang Q, Guo M, Tang Y, Li X, Zheng J. Causal relationship between circulating cytokines and follicular lymphoma: a two-sample Mendelian randomization study. Am J Cancer Res 2024; 14:1577-1593. [PMID: 38726270 PMCID: PMC11076242 DOI: 10.62347/jckd6973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 03/27/2024] [Indexed: 05/12/2024] Open
Abstract
Follicular lymphoma (FL), derived from germinal centre (GC) B cells, is a kind of systemic neoplasm. Even though FL is indolent, it remains an incurable haematology Neoplasm. Accumulating evidence has suggested that the circulating cytokine is associated with the development of FL, yet the causal relationship between FL and circulating cytokines remains undetermined. Therefore, we conducted a two-sample Mendelian randomization (MR) to confirm the causal link between FL and levels of circulating cytokines with the use of summary data on circulating cytokines and FL. All these data from genome-wide association study were derived from the Genome-wide pQTL mapping which contains 14,824 individuals. FL data were acquired exclusively from FinnGen, where 218,792 individuals (522 cases vs. 218,270 controls) were involved. Various statistical methods, including the inverse variance weighted method (IVW), weighted median (WME), simple model, weighted model (WM) and MR-Egger, were used to evaluate the potential causal connection between circulating cytokines and FL. Sensitivity analysis, which involves the examination of the heterogeneity, pleiotropy, and leave-one-out method, was also performed to ensure more trustworthy results. A bidirectional MR test was performed to evaluate the direction of causal association between circulating cytokines and FL. Combining all the steps of MR analysis, we revealed four causal cytokines: C-X-C motif chemokine ligand 5 (CXCL5), interleukin-15 receptor A (IL15RA), interleukin-20 (IL20), and neurotrophin-3 (NT-3). The risk of FL may be inversely linked to CXCL5 (OR=0.73, CI: 0.545-0.979, P=0.036), IL-15RA (OR=0.669, CI: 0.451-0.993, P=0.046), and IL-20 (OR=0.565, CI: 0.325-0.981, P=0.043) but positively linked to NT-3 (OR=1.872, CI: 1.063-3.297, P=0.03). In addition, in our study, no causal effect of FL on cytokines was demonstrated and no significant heterogeneity and pleiotropy were found. Our research revealed the causal relationship between cytokines and FL, along with both the anti-protective effect of CXCL5, IL-15RA, and IL-20 and the protective effect of neurotrophin-3 on FL. These findings aim to provide new clues regarding the pathogenesis of FL and to extend the potential of circulating cytokines to therapeutic interventions.
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Affiliation(s)
- Chen Sun
- Department of Pathology, Changhai Hospital, Navy Medical UniversityShanghai, China
- National Key Laboratory of Immunity and Inflammation and Institute of Immunology, Navy Medical UniversityShanghai, China
| | - Chengling Liu
- Center of Burns and Plastic Surgery and Dermatology, The 924th Hospital of Joint Logistics Support Force of The PLAGuilin, Guangxi, China
- National Key Laboratory of Immunity and Inflammation and Institute of Immunology, Navy Medical UniversityShanghai, China
| | - Xingchen Liu
- Department of Pathology, Changhai Hospital, Navy Medical UniversityShanghai, China
- National Key Laboratory of Immunity and Inflammation and Institute of Immunology, Navy Medical UniversityShanghai, China
| | - Zhaoruncheng Wu
- National Key Laboratory of Immunity and Inflammation and Institute of Immunology, Navy Medical UniversityShanghai, China
- School of Biomedical Engineering, Southern Medical UniversityGuangzhou, Guangdong, China
| | - Jianhua Luo
- National Key Laboratory of Immunity and Inflammation and Institute of Immunology, Navy Medical UniversityShanghai, China
| | - Ruolan Liu
- Department of Pathology, Changhai Hospital, Navy Medical UniversityShanghai, China
- National Key Laboratory of Immunity and Inflammation and Institute of Immunology, Navy Medical UniversityShanghai, China
| | - Yuanyuan Wang
- National Key Laboratory of Immunity and Inflammation and Institute of Immunology, Navy Medical UniversityShanghai, China
| | - Mengyu Lu
- Department of Pathology, Changhai Hospital, Navy Medical UniversityShanghai, China
- National Key Laboratory of Immunity and Inflammation and Institute of Immunology, Navy Medical UniversityShanghai, China
| | - Quanxing Wang
- National Key Laboratory of Immunity and Inflammation and Institute of Immunology, Navy Medical UniversityShanghai, China
| | - Meng Guo
- National Key Laboratory of Immunity and Inflammation and Institute of Immunology, Navy Medical UniversityShanghai, China
| | - Yi Tang
- Department of Plastic Surgery, Changhai Hospital, Navy Medical UniversityShanghai, China
| | - Xueying Li
- Department of Pathology, Changhai Hospital, Navy Medical UniversityShanghai, China
| | - Jianming Zheng
- Department of Pathology, Changhai Hospital, Navy Medical UniversityShanghai, China
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5
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Watanabe T, Tobinai K, Wakabayashi M, Maruyama D, Yamamoto K, Kubota N, Shimada K, Asagoe K, Yamaguchi M, Ando K, Ogura M, Kuroda J, Suehiro Y, Matsuno Y, Tsukasaki K, Nagai H. R-CHOP treatment for patients with advanced follicular lymphoma: Over 15-year follow-up of JCOG0203. Br J Haematol 2024; 204:849-860. [PMID: 37996986 DOI: 10.1111/bjh.19213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/07/2023] [Accepted: 11/08/2023] [Indexed: 11/25/2023]
Abstract
Anti-CD20 antibody in combination with chemotherapy extends overall survival (OS) in untreated advanced-stage follicular lymphoma (FL), yet the optimal associated therapy is unclear. Data on the cumulative incidence of secondary malignancies postrelapse after conventional immunochemotherapy are scarce. A long-term analysis of rituximab combined with cyclophosphamide, doxorubicin, vincristine and prednisone (R-CHOP) as first-line treatment was conducted in a randomised clinical trial. A six-cycle R-CHOP regimen was administered every 2 or 3 weeks without rituximab maintenance. A prespecified evaluation was conducted 15 years after the completion of enrolment, following initial analysis results that showed no significant differences in outcomes at the 3-year mark. In-depth analyses were performed on the cohort of 248 patients with FL who were allocated to the two treatment arms. With a median follow-up period of 15.9 years, the 15-year OS was 76.2%. There were no protocol treatment-related deaths, nor were there any fatal infections attributable to subsequent lymphoma treatment. At 15 years, the cumulative incidence of non-haematological and haematological malignancies was 12.8% and 3.7% respectively. Histological transformation appeared after a median of 8 years. R-CHOP maintains safety and efficacy in patients with advanced FL over extended follow-up, making it a viable first-line option for patients with advanced-stage FL.
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Affiliation(s)
- Takashi Watanabe
- Department of Haematology, National Cancer Center Hospital, Tokyo, Japan
| | - Kensei Tobinai
- Department of Haematology, National Cancer Center Hospital, Tokyo, Japan
| | | | - Dai Maruyama
- Department of Haematology, National Cancer Center Hospital, Tokyo, Japan
| | - Kazuhito Yamamoto
- Department of Haematology and Cell Therapy, Aichi Cancer Center, Nagoya, Japan
| | - Nobuko Kubota
- Department of Haematology, Saitama Cancer Center, Saitama, Japan
| | - Kazuyuki Shimada
- Department of Haematology and Oncology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kohsuke Asagoe
- Department of Haematology and Oncology, Shiga General Hospital, Moriyama, Japan
| | - Motoko Yamaguchi
- Department of Haematology and Oncology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Kiyoshi Ando
- Division of Haematology/Oncology, Department of Internal Medicine, Tokai University School of Medicine, Isehara, Japan
| | - Michinori Ogura
- Department of Haematology and Oncology, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan
| | - Junya Kuroda
- Division of Haematology and Oncology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Youko Suehiro
- Department of Haematology, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan
| | - Yoshihiro Matsuno
- Department of Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Kunihiro Tsukasaki
- Department of Haematology, International Medical Center, Saitama Medical University, Moriyama, Japan
| | - Hirokazu Nagai
- Department of Haematology and Oncology Research National Hospital Organization, Nagoya Medical Center, Nagoya, Japan
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6
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Dickinson M, Martinez-Lopez J, Jousseaume E, Yang H, Chai X, Xiang C, Wang T, Zhang J, Ramos R, Schuster SJ, Fowler N. Comparative efficacy and safety of tisagenlecleucel and axicabtagene ciloleucel among adults with r/r follicular lymphoma. Leuk Lymphoma 2024; 65:323-332. [PMID: 38179688 DOI: 10.1080/10428194.2023.2289854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 11/27/2023] [Indexed: 01/06/2024]
Abstract
Regulatory approvals of tisagenlecleucel (tisa-cel) and axicabtagene ciloleucel (axi-cel) have established the feasibility of chimeric antigen receptor T-cell therapies for the treatment of adults with relapsed or refractory follicular lymphoma (r/r FL). This study used individual patient data from ELARA (tisa-cel) and aggregate published patient data from ZUMA-5 (axi-cel) to compare efficacy and safety outcomes in r/r FL using matching-adjusted indirect comparison methods. After adjustment for baseline differences in the trial populations, the results suggested that tisa-cel (n = 52), compared with axi-cel (n = 86), had similar effects on overall response rate (91.2% vs. 94.2%; p = .58), complete response rate (74.0% vs. 79.1%; p = .60), progression-free survival (HR [95% CI]: 0.8 [0.4, 1.9]; p = .67), and overall survival (HR [95% CI]: 0.5 [0.2, 1.5]; p = .21). Tisa-cel (n = 53) was associated with better safety outcomes than axi-cel (n = 124), reflected by lower rates of any grade and grade ≥3 cytokine release syndrome and neurological events.
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Affiliation(s)
- Michael Dickinson
- Peter MacCallum Cancer Centre, Royal Melbourne Hospital and the University of Melbourne, Melbourne, Australia
| | - Joaquin Martinez-Lopez
- Department of Medicine, School of Medicine, Hospital Universitario 12 de Octubre, Complutense University, CNIO, Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | | | | | | | | | | | - Jie Zhang
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | - Roberto Ramos
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | - Stephen J Schuster
- Lymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Nathan Fowler
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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7
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Cottereau AS, Rebaud L, Trotman J, Feugier P, Nastoupil LJ, Bachy E, Flinn IW, Haioun C, Ysebaert L, Bartlett NL, Tilly H, Casasnovas O, Ricci R, Portugues C, Buvat I, Meignan M, Morschhauser F. Metabolic tumor volume predicts outcome in patients with advanced stage follicular lymphoma from the RELEVANCE trial. Ann Oncol 2024; 35:130-137. [PMID: 37898239 DOI: 10.1016/j.annonc.2023.10.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 09/22/2023] [Accepted: 10/13/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND We investigated the prognostic value of baseline positron emission tomography (PET) parameters for patients with treatment-naïve follicular lymphoma (FL) in the phase III RELEVANCE trial, comparing the immunomodulatory combination of lenalidomide and rituximab (R2) versus R-chemotherapy (R-chemo), with both regimens followed by R maintenance therapy. PATIENTS AND METHODS Baseline characteristics of the entire PET-evaluable population (n = 406/1032) were well balanced between treatment arms. The maximal standard uptake value (SUVmax) and the standardized maximal distance between tow lesions (SDmax) were extracted, the standardized distance between two lesions the furthest apart, were extracted. The total metabolic tumor volume (TMTV) was computed using the 41% SUVmax method. RESULTS With a median follow-up of 6.5 years, the 6-year progression-free survival (PFS) was 57.8%, the median TMTV was 284 cm3, SUVmax was 11.3 and SDmax was 0.32 m-1, with no significant difference between arms. High TMTV (>510 cm3) and FLIPI were associated with an inferior PFS (P = 0.013 and P = 0.006, respectively), whereas SUVmax and SDmax were not (P = 0.08 and P = 0.12, respectively). In multivariable analysis, follicular lymphoma international prognostic index (FLIPI) and TMTV remained significantly associated with PFS (P = 0.0119 and P = 0.0379, respectively). These two adverse factors combined stratified the overall population into three risk groups: patients with no risk factors (40%), with one factor (44%), or with both (16%), with a 6-year PFS of 67.7%, 54.5%, and 41.0%, respectively. No significant interaction between treatment arms and TMTV or FLIPI (P = 0.31 or P = 0.59, respectively) was observed. The high-risk group (high TMTV and FLIPI 3-5) had a similar PFS in both arms (P = 0.45) with a median PFS of 68.4% in the R-chemo arm versus 71.4% in the R2 arm. CONCLUSIONS Baseline TMTV is predictive of PFS, independently of FLIPI, in patients with advanced FL even in the context of antibody maintenance.
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Affiliation(s)
- A S Cottereau
- Department of Nuclear Medicine, Cochin Hospital, AP-HP, Université Paris Cité, Paris.
| | - L Rebaud
- LITO Laboratory, UMR 1288 Inserm, Institut Curie, Université Paris-Saclay, Orsay; Siemens Healthcare SAS, Saint Denis, France
| | - J Trotman
- Department of Hematology, Concord Repatriation General Hospital, University of Sydney, Sydney, Australia
| | - P Feugier
- Department of Hematology, University Hospital of Nancy and INSERM 1256 University of Lorraine, Vandœuvre-lès-Nancy, France
| | - L J Nastoupil
- Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - E Bachy
- EA LIB (Lymphoma Immuno-Biology), University Claude Bernard Lyon 1, Lyon, France
| | - I W Flinn
- Sarah Cannon Research Institute/Tennessee Oncology, Nashville, USA
| | - C Haioun
- Lymphoïd Malignancies Unit, Henri Mondor Hospital, AP-HP, Créteil
| | - L Ysebaert
- Department of Hematology, IUC Toulouse-Oncopole Toulouse, Toulouse, France
| | - N L Bartlett
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
| | - H Tilly
- Imaging Department, Centre Henri Becquerel, Rouen; QuantIF-LITIS, EA 4108, IRIB, University of Rouen, Rouen
| | - O Casasnovas
- Department of Hematology, F Mitterrand Hospital, Dijon; Inserm 1231, University of Dijon
| | - R Ricci
- LYSARC, Centre Hospitalier Lyon-Sud, Pierre-Bénite
| | - C Portugues
- LYSARC, Centre Hospitalier Lyon-Sud, Pierre-Bénite
| | - I Buvat
- LITO Laboratory, UMR 1288 Inserm, Institut Curie, Université Paris-Saclay, Orsay
| | - M Meignan
- Lysa Imaging, Henri Mondor University Hospital, AP-HP, University Paris East, Creteil
| | - F Morschhauser
- Department of Hematology, University of Lille, CHU Lille, ULR 7365 - GRITA - Groupe de Recherche sur les formes Injectables et les Technologies Associées, Lille, France
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8
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Hou Q, Li H, Liang Y, Yao N, Cao X, Liu J, Sun B, Feng P, Zhang W, Cao J. Impact of the peripheral blood inflammatory indices and modified nomogram-revised risk index on survival of Extranodal Nasal-Type Natural Killer/T-Cell lymphoma. Cancer Biomark 2024; 39:27-36. [PMID: 37522199 PMCID: PMC10977361 DOI: 10.3233/cbm-230067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 06/05/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND At present, peripheral blood markers are easily accessible information and clinically valuable prognostic indicators in extranodal nasal-type natural killer/T-cell lymphoma (ENKTCL). Nevertheless, the role of its comprehensive score in ENKTCL remains to be determined. OBJECTIVE Therefore, this study aimed to investigate the prognostic effect of the peripheral inflammation score on ENKTCL. METHODS The retrospective study included 183 patients with ENKTCL. Univariate Cox regression analyses and least absolute shrinkage and selection operator (LASSO) Cox regression were used to construct the inflammation-related prognostic index named Risk. Univariate and multivariate Cox regression analyses and regression adjustment with propensity score matching (PSM) were used to evaluate the prognostic ability of risk. The performance of the modified nomogram-revised risk index (NRI) by integrating risk was evaluated with the area under the time-dependent receiver operating characteristic (ROC) curve (AUC), decision curve analysis (DCA), and integrated Brier score (IBS). RESULTS The risk cut-off value, constructed by the lymphocyte count, platelet count, albumin level, LMR, and PNI, was -1.3486. Before PSM, multivariate analysis showed that risk was significantly associated with OS (HR = 2.577, 95% CI = 1.614-4.114, P< 0.001) and PFS (HR = 2.679, 95% CI = 1.744-4.114, P< 0.001). After PSM adjustment, risk was still an independent factor for OS (HR = 2.829, 95% CI = 1.601-5.001, P< 0.001) and PFS (HR = 2.877, 95% CI = 1.735-4.770, P< 0.001). With the NRI, the modified NRI by integrating risk increased the AUC and clinical net benefit and decreased the IBS. CONCLUSIONS Risk is an easily accessible and inexpensive indicator that may be used as a prognostic marker and could improve NRI predictive power in patients with ENKTCL.
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Affiliation(s)
- Qing Hou
- Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - He Li
- Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yu Liang
- Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Ningning Yao
- Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xin Cao
- Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jianting Liu
- Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Bochen Sun
- Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Peixin Feng
- Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wenjuan Zhang
- Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jianzhong Cao
- Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
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9
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Xu B, Lin ZJ. [How I treat relapsed/transformed follicular lymphoma]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2023; 44:983-988. [PMID: 38503520 PMCID: PMC10834864 DOI: 10.3760/cma.j.issn.0253-2727.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Indexed: 03/21/2024]
Affiliation(s)
- B Xu
- Department of Hematology, the First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen 361003, China
| | - Z J Lin
- Department of Hematology, the First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen 361003, China
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10
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Tomacinschii V, Mosquera Orgueira A, Santos CA, Robu M, Buruiana S, Fraga Rodriguez MF. The implication of next-generation sequencing in the diagnosis and clinical management of non-Hodgkin lymphomas. Front Oncol 2023; 13:1275327. [PMID: 38023160 PMCID: PMC10663367 DOI: 10.3389/fonc.2023.1275327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Next generation sequencing (NGS) is a technology that broadens the horizon of knowledge of several somatic pathologies, especially in oncological and oncohematological pathology. In the case of NHL, the understanding of the mechanisms of tumorigenesis, tumor proliferation and the identification of genetic markers specific to different lymphoma subtypes led to more accurate classification and diagnosis. Similarly, the data obtained through NGS allowed the identification of recurrent somatic mutations that can serve as therapeutic targets that can be inhibited and thus reducing the rate of resistant cases. The article's purpose is to offer a comprehensive overview of the best ways of integrating of next-generation sequencing technologies for diagnosis, prognosis, classification, and selection of optimal therapy from the perspective of tailor-made medicine.
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Affiliation(s)
- Victor Tomacinschii
- Department of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova
- Department of Hematology, Public Medical Sanitary Institution (PMSI) Institute of Oncology, Chisinau, Moldova
| | - Adrian Mosquera Orgueira
- University Hospital of Santiago de Compostela, Servizo Galego de Saude (SERGAS), Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
| | - Carlos Aliste Santos
- University Hospital of Santiago de Compostela, Servizo Galego de Saude (SERGAS), Santiago de Compostela, Spain
| | - Maria Robu
- Department of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova
| | - Sanda Buruiana
- Department of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova
| | - Maximo Francisco Fraga Rodriguez
- University Hospital of Santiago de Compostela, Servizo Galego de Saude (SERGAS), Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
- Department of Forensic Sciences, Pathology, Ginecology and Obstetrics and Pediatrics, Faculty of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
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11
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Abe Y. Follicular lymphoma microenvironment: insights provided by single-cell analysis. J Clin Exp Hematop 2023; 63:143-151. [PMID: 37635086 PMCID: PMC10628831 DOI: 10.3960/jslrt.23012] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/17/2023] [Accepted: 06/19/2023] [Indexed: 08/29/2023] Open
Abstract
Follicular lymphoma (FL) is the most frequent indolent lymphoma and is characterized by the abundant infiltration of tumor microenvironment (TME) cells. The activity of TME cells reportedly plays an important role in the biology of FL. TME cells that reside within neoplastic follicles, such as T-follicular helper cells and follicular dendritic cells, have been shown to aid in FL development and progression through interactions with malignant B cells, whereas regulatory T cells have unexpectedly shown an apparently favorable prognostic impact in FL. Unfortunately, the understanding of the FL TME, particularly regarding minor cell subsets, has been hampered by unknown cell heterogeneity. As with other solid and hematologic cancers, novel single-cell analysis technologies have recently been applied to FL research and have uncovered previously unrecognized heterogeneities, not only in malignant B cells but also in TME cells. These reports have greatly increased the resolution of our understanding of the FL TME and, at the same time, raised questions about newly identified TME cells. This review provides an overview of the unique aspects of FL TME cells with a clinical viewpoint and highlights recent discoveries from single-cell analysis, while also suggesting potential future directions.
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Affiliation(s)
- Yoshiaki Abe
- Department of Hematology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
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12
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Russler-Germain DA, Krysiak K, Ramirez C, Mosior M, Watkins MP, Gomez F, Skidmore ZL, Trani L, Gao F, Geyer S, Cashen AF, Mehta-Shah N, Kahl BS, Bartlett NL, Alderuccio JP, Lossos IS, Ondrejka SL, Hsi ED, Martin P, Leonard JP, Griffith M, Griffith OL, Fehniger TA. Mutations associated with progression in follicular lymphoma predict inferior outcomes at diagnosis: Alliance A151303. Blood Adv 2023; 7:5524-5539. [PMID: 37493986 PMCID: PMC10514406 DOI: 10.1182/bloodadvances.2023010779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 07/27/2023] Open
Abstract
Follicular lymphoma (FL) is clinically heterogeneous, with select patients tolerating extended watch-and-wait, whereas others require prompt treatment, suffer progression of disease within 24 months of treatment (POD24), and/or experience aggressive histologic transformation (t-FL). Because our understanding of the relationship between genetic alterations in FL and patient outcomes remains limited, we conducted a clinicogenomic analysis of 370 patients with FL or t-FL (from Cancer and Leukemia Group B/Alliance trials 50402/50701/50803, or real-world cohorts from Washington University School of Medicine, Cleveland Clinic, or University of Miami). FL subsets by grade, stage, watch-and-wait, or POD24 status did not differ by mutation burden, whereas mutation burden was significantly higher in relapsed/refractory (rel/ref) FL and t-FL than in newly diagnosed (dx) FL. Nonetheless, mutation burden in dx FL was not associated with frontline progression-free survival (PFS). CREBBP was the only gene more commonly mutated in FL than in t-FL yet mutated CREBBP was associated with shorter frontline PFS in FL. Mutations in 20 genes were more common in rel/ref FL or t-FL than in dx FL, including 6 significantly mutated genes (SMGs): STAT6, TP53, IGLL5, B2M, SOCS1, and MYD88. We defined a mutations associated with progression (MAP) signature as ≥2 mutations in these 7 genes (6 rel/ref FL or t-FL SMGs plus CREBBP). Patients with dx FL possessing a MAP signature had shorter frontline PFS, revealing a 7-gene set offering insight into FL progression risk potentially more generalizable than the m7-Follicular Lymphoma International Prognostic Index (m7-FLIPI), which had modest prognostic value in our cohort. Future studies are warranted to validate the poor prognosis associated with a MAP signature in dx FL, potentially facilitating novel trials specifically in this high-risk subset of patients.
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Affiliation(s)
- David A. Russler-Germain
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Kilannin Krysiak
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Cody Ramirez
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Matthew Mosior
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Marcus P. Watkins
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Felicia Gomez
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Zachary L. Skidmore
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Lee Trani
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Feng Gao
- Public Health Sciences Division, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Susan Geyer
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN
| | - Amanda F. Cashen
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Neha Mehta-Shah
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Brad S. Kahl
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Nancy L. Bartlett
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Juan P. Alderuccio
- Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL
| | - Izidore S. Lossos
- Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL
| | - Sarah L. Ondrejka
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Eric D. Hsi
- Department of Pathology, Wake Forest Baptist Medical Center, Winston Salem, NC
| | - Peter Martin
- Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY
| | - John P. Leonard
- Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY
| | - Malachi Griffith
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Obi L. Griffith
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Todd A. Fehniger
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
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13
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Li JY, Hou XR, Chen SY, Liu X, Zhong QZ, Qian LT, Qiao XY, Wang H, Zhu Y, Cao JZ, Wu JX, Wu T, Zhu SY, Shi M, Zhang HL, Zhang XM, Su H, Song YQ, Zhu J, Zhang YJ, Huang HQ, Wang Y, He X, Zhang LL, Qu BL, Yang Y, Hu C, Deng M, Wang SL, Qi SN, Li YX. Outcome and risk prediction of early progression in patients with extranodal natural killer/T cell lymphoma from the CLCG study. Ann Hematol 2023; 102:2459-2469. [PMID: 37306711 PMCID: PMC10444649 DOI: 10.1007/s00277-023-05311-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 06/03/2023] [Indexed: 06/13/2023]
Abstract
Recently, progression-free survival at 24 months (PFS24) was defined as clinically relevant for patients with extranodal NK/T cell lymphoma. Herein, the clinical data from two independent random cohorts (696 patients each in the primary and validation datasets) were used to develop and validate a risk index for PFS24 (PFS24-RI), and evaluate its ability to predict early progression. Patients achieving PFS24 had a 5-year overall survival (OS) of 95.8%, whereas OS was only 21.2% in those failing PFS24 (P<0.001). PFS24 was an important predictor of subsequent OS, independent of risk stratification. The proportion of patients achieving PFS24 and 5-year OS rates correlated linearly among risk-stratified groups. Based on multivariate analysis of the primary dataset, the PFS24-RI included five risk factors: stage II or III/IV, elevated lactate dehydrogenase, Eastern Cooperative Oncology Group score ≥2, primary tumor invasion, and extra-upper aerodigestive tract. PFS24-RI stratified the patients into low-risk (0), intermediate-risk (1-2), high-risk (≥3) groups with different prognoses. Harrell's C-index of PFS24-RI for PFS24 prediction was 0.667 in the validation dataset, indicating a good discriminative ability. PFS24-RI calibration indicated that the actual observed and predicted probability of failing PFS24 agreed well. PFS24-RI provided the probability of achieving PFS24 at an individual patient level.
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Affiliation(s)
- Jia-Ying Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xiao-Rong Hou
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - Si-Ye Chen
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xin Liu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Qiu-Zi Zhong
- Beijing Hospital, National Geriatric Medical Center, Beijing, China
| | - Li-Ting Qian
- The Affiliated Provincial Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Xue-Ying Qiao
- The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Hua Wang
- Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yuan Zhu
- Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Zhejiang, China
| | - Jian-Zhong Cao
- Shanxi Cancer Hospital and the Affiliated Cancer Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jun-Xin Wu
- Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
| | - Tao Wu
- Affiliated Hospital of Guizhou Medical University, Guizhou Cancer Hospital, Guiyang, Guizhou, China
| | - Su-Yu Zhu
- Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Changsha, Hunan, China
| | - Mei Shi
- Xijing Hospital of Fourth Military Medical University, Xi'an, China
| | - Hui-Lai Zhang
- Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin, China
| | - Xi-Mei Zhang
- Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin, China
| | - Hang Su
- The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Yu-Qin Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Yu-Jing Zhang
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China
| | - Hui-Qiang Huang
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China
| | - Ying Wang
- Chongqing University Cancer Hospital & Chongqing Cancer Hospital, Chongqing, China
| | - Xia He
- Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, China
| | - Li-Ling Zhang
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Bao-Lin Qu
- The General Hospital of Chinese People's Liberation Army, Beijing, China
| | - Yong Yang
- Department of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Chen Hu
- Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21205-2013, USA
| | - Min Deng
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Shu-Lian Wang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Shu-Nan Qi
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Ye-Xiong Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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14
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Kambhampati S, Shouse G, Danilov AV. Thinking "outside the germinal center": Re-educating T cells to combat follicular lymphoma. Blood Rev 2023; 61:101099. [PMID: 37173225 DOI: 10.1016/j.blre.2023.101099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/04/2023] [Accepted: 05/08/2023] [Indexed: 05/15/2023]
Abstract
There have been significant advancements in the management of follicular lymphoma (FL), the most common indolent lymphoma. These include immunomodulatory agents such as lenalidomide, epigenetic modifiers (tazemetostat), and phosphoinotiside-3 kinase inhibitors (copanlisib). The focus of this review is T cell-engager therapies, namely chimeric antigen receptor (CAR) T-cell therapy and bispecific antibodies, have recently transformed the treatment landscape of FL. Two CAR T cell products, axicabtagene ciloleucel (axi-cel) and tisagenlecleucel (tisa-cel), and one bispecific antibody, mosunetuzumab, recently received FDA approvals in FL. Several other new immune effector drugs are being evaluated and will expand the treatment armamentarium. This review focuses on CAR T-cell and bispecific antibody therapies, details their safety and efficacy and considers their evolving role in the current treatment landscape of FL.
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Gao F, Liu H, Meng X, Liu J, Wang J, Yu J, Liu X, Liu X, Li L, Qiu L, Qian Z, Zhou S, Gong W, Meng B, Ren X, Golchehre Z, Chavoshzadeh Z, He J, Zhang H, Wang X. Integrative genomic and transcriptomic analysis reveals genetic alterations associated with the early progression of follicular lymphoma. Br J Haematol 2023; 202:1151-1164. [PMID: 37455019 DOI: 10.1111/bjh.18974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/25/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023]
Abstract
Follicular lymphoma (FL), the most common indolent lymphoma, is a clinically and genetically heterogeneous disease. However, the prognostic value of driver gene mutations and copy number alterations has not been systematically assessed. Here, we analysed the clinical-biological features of 415 FL patients to identify variables associated with disease progression within 24 months of first-line therapy (POD24). Patients with B symptoms, elevated lactate dehydrogenase and β2-microglobulin levels, unfavourable baseline haemoglobin levels, advanced stage, and high-risk FL International Prognostic Index (FLIPI) scores had an increased risk of POD24, with FLIPI being the most important factor in logistic regression. HIST1H1D, identified as a driver mutation, was correlated with POD24. Gains of 6p22.2 (HIST1H1D) and 18q21.33 (BCL2) and loss of 1p36.13 (NBPF1) predicted POD24 independent of FLIPI. Gene expression profiling of FL samples showed that the POD24 cohort was significantly enriched in the inflammatory response (mediated by interferon and tumour necrosis factor), cell cycle regulation (transcription, replication and proliferation) sets and PI3K-AKT-mTOR signalling. This result was further validated with transcriptome-wide information provided by RNA-seq at single-cell resolution. Our study, performed on a large cohort of FL patients, highlights the importance of distinctive genetic alterations and gene expression relevant to disease diagnosis and early progression.
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Affiliation(s)
- Fenghua Gao
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Hengqi Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xiangrui Meng
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Jing Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Jiesong Wang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
- Department of Lymphoma & Head and Neck Oncology, College of Clinical Medicine for Oncology, Fujian Medical University, Fuzhou, China
| | - Jingwei Yu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xia Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xianming Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Lanfang Li
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Lihua Qiu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Zhengzi Qian
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Shiyong Zhou
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Wenchen Gong
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Bin Meng
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xiubao Ren
- Department of Immunology/Biotherapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Zahra Golchehre
- Department of Medical Genetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Chavoshzadeh
- Department of Immunology/Allergy, Pediatric Infections Research Center, Mofid Children's Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jin He
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Huilai Zhang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xianhuo Wang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
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Hao Y, Hsu WC, Parzynski CS, Degtyarev E, Hampson LV, Masood A, Wu WH. Effectiveness of tisagenlecleucel versus real-world standard of care in relapsed/refractory follicular lymphoma. J Comp Eff Res 2023; 12:e220173. [PMID: 37345672 PMCID: PMC10508300 DOI: 10.57264/cer-2022-0173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 04/06/2023] [Indexed: 06/23/2023] Open
Abstract
Aim: To contextualize the effectiveness of tisagenlecleucel versus real-world standard of care (SoC) in relapsed/refractory follicular lymphoma. Materials & methods: A retrospective indirect matched comparison study using data from the phase II ELARA trial and the US Flatiron Health Research Database. Results: Complete response rate was 69.1 versus 17.7% and the overall response rate was 85.6 versus 58.1% in tisagenlecleucel versus SoC, post weighting by odds. For overall survival, an estimated reduction in the risk of death was observed in favor of tisagenlecleucel over SoC. The hazard ratio for progression-free survival was 0.45 (95% CI: 0.26, 0.88), and for time-to-next treatment was 0.34 (95% CI: 0.15, 0.78) with tisagenlecleucel versus SoC. Conclusion: A consistent trend toward improved efficacy end points was observed in favor of tisagenlecleucel versus SoC.
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Affiliation(s)
- Yanni Hao
- Novartis Pharmaceuticals Corporation, East Hanover, NJ 07936, USA
- Current affiliation: Gilead Sciences, Foster City, CA 94404, USA
| | | | | | | | | | - Aisha Masood
- Novartis Pharmaceuticals Corporation, East Hanover, NJ 07936, USA
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Saha A, Jhaveri K, Sarfraz H, Chavez JC. Tisagenlecleucel: CAR-T cell therapy for adult patients with relapsed or refractory follicular lymphoma. Expert Opin Biol Ther 2023; 23:869-876. [PMID: 37599463 DOI: 10.1080/14712598.2023.2248878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 08/14/2023] [Indexed: 08/22/2023]
Abstract
INTRODUCTION Tisagenlecleucel (tisa-cel) is an anti CD19 CAR-T therapy that has demonstrated clinical activity in R/R large B-cell lymphoma and R/R B-cell acute lymphoblastic leukemia. It showed particularly high efficacy in R/R follicular lymphoma (FL) with a manageable toxicity profile. The pivotal ELARA study in R/R FL confirmed these findings and led to the FDA approval of tisa-cel in R/R FL after two lines of systemic therapies. AREAS COVERED We start with an introduction of FL and the current treatment landscape with emphasis on the R/R setting. We review the role of CAR-T in R/R FL with focus on currently available products. We describe the ELARA study at a high level to give a perspective of the patient population that was treated. Finally, we discuss aspects related to product selection and whether bispecific antibodies will challenge the role of CAR-T in FL given their similar efficacy. EXPERT OPINION Tisa-cel is a highly effective therapy for heavily pretreated R/R FL with a toxicity profile that is low grade and manageable. Durable remissions (including high-risk patients) are seen in the pivotal ELARA study. Clinicians should consider early referral of R/R FL patients for assessment and discussion.
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Affiliation(s)
- Aditi Saha
- Department of Medicine/Hematology Oncology, University of South Florida, Tampa, FLUSA
| | - Khushali Jhaveri
- Department of Medicine/Hematology Oncology, University of South Florida, Tampa, FLUSA
| | - Humaira Sarfraz
- Department of Medicine/Hematology Oncology, University of South Florida, Tampa, FLUSA
| | - Julio C Chavez
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL USA
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Hu J, Gao F, Zhao J, Song W, Wang Y, Zheng Y, Wang L, Han W, Ma L, Wang J, Bai M, Guan T, Xi Y, Zhang H, Qiu L, Su L. The prognostic index PRIMA-PI combined with Ki67 as a better predictor of progression of disease within 24 months in follicular lymphoma. Front Oncol 2023; 13:1090610. [PMID: 37427106 PMCID: PMC10327599 DOI: 10.3389/fonc.2023.1090610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 06/09/2023] [Indexed: 07/11/2023] Open
Abstract
Background Progression of disease within 24 months (POD24) is a risk factor for poor survival in follicular lymphoma (FL), and there is currently no optimal prognostic model to accurately predict patients with early disease progression. How to combine traditional prognostic models with new indicators to establish a new prediction system, to predict the early progression of FL patients more accurately is a future research direction. Methods This study retrospectively analyzed patients with newly diagnosed FL patients in Shanxi Provincial Cancer Hospital from January 2015 to December 2020. Data from patients undergoing immunohistochemical detection (IHC) were analyzed using χ2 test and multivariate Logistic regression. Also, we built a nomogram model based on the results of LASSO regression analysis of POD24, which was validated in both the training set and validation set, and additional external validation was performed using a dataset (n = 74) from another center, Tianjin Cancer Hospital. Results The multivariate Logistic regression results suggest that high-risk PRIMA-PI group, Ki-67 high expression represent risk factors for POD24 (P<0.05). Next, PRIMA-PI and Ki67 were combined to build a new model, namely, PRIMA-PIC to reclassify high and low-risk groups. The result showed that the new clinical prediction model constructed by PRIMA-PI with ki67 has a high sensitivity to the prediction of POD24. Compared to PRIMA-PI, PRIMA-PIC also has better discrimination in predicting patient's progression-free survival (PFS) and overall survival (OS). In addition, we built nomogram models based on the results of LASSO regression (histological grading, NK cell percentage, PRIMA-PIC risk group) in the training set, which were validated using internal validation set and external validation set, we found that C-index and calibration curve showed good performance. Conclusion As such, the new predictive model-based nomogram established by PRIMA-PI and Ki67 could well predict the risk of POD24 in FL patients, which boasts clinical practical value.
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Affiliation(s)
- Jiaci Hu
- School of Public Health, Shanxi Medical University, Shanxi, Taiyuan, China
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Fenghua Gao
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Tianjin, China
| | - Jin Zhao
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Wenzhu Song
- School of Public Health, Shanxi Medical University, Shanxi, Taiyuan, China
| | - Yanli Wang
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Yuping Zheng
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Lieyang Wang
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Weie Han
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Li Ma
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Jingrong Wang
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Min Bai
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Tao Guan
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Yanfeng Xi
- Department of Pathology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
| | - Huilai Zhang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Tianjin, China
| | - Lixia Qiu
- School of Public Health, Shanxi Medical University, Shanxi, Taiyuan, China
| | - Liping Su
- School of Public Health, Shanxi Medical University, Shanxi, Taiyuan, China
- Department of Hematology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Shanxi, Taiyuan, China
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19
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Friedberg JW. Update on follicular lymphoma. Hematol Oncol 2023; 41 Suppl 1:43-47. [PMID: 37294960 PMCID: PMC10264144 DOI: 10.1002/hon.3138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 03/28/2023] [Indexed: 06/11/2023]
Abstract
The past two decades have seen remarkable progress in both biological understanding and optimizing treatment of follicular lymphoma. Historically considered an incurable disease, long-term follow-up of several induction approaches demonstrates that up to 40% of patients enjoy remission durations of 10 or more years, and risk of dying of lymphoma continues to fall. This update will focus on progress in follicular lymphoma over the past 3 years, which has included refinements in staging and prognosis, novel immunotherapy treatment approaches for relapsed and refractory disease, and long-term follow-up of pivotal trials. Ongoing trials will define the optimal sequence for these novel treatments, including whether earlier incorporation of these approaches may result in definitive cure of this disease. Through ongoing and planned correlative studies, we are poised to ultimately achieve the goal of a precision management approach to follicular lymphoma.
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20
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Slack GW. Diagnostic, Prognostic, and Predictive Role of Next-Generation Sequencing in Mature Lymphoid Neoplasms. Surg Pathol Clin 2023; 16:433-442. [PMID: 37149368 DOI: 10.1016/j.path.2023.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Lymphoma is a clinically and biologically heterogeneous disease. Next-generation sequencing (NGS) has expanded our understanding of this heterogeneity at the genetic level, refining disease classification, defining new entities, and providing additional information that can be used in diagnosis and management. This review highlights some of the NGS findings in lymphoma and how they can be used as genetic biomarkers to aid diagnosis and prognosis and guide therapy.
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21
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Jiménez-Ubieto A, Poza M, Martin-Muñoz A, Ruiz-Heredia Y, Dorado S, Figaredo G, Rosa-Rosa JM, Rodriguez A, Barcena C, Navamuel LP, Carrillo J, Sanchez R, Rufian L, Juárez A, Rodriguez M, Wang C, de Toledo P, Grande C, Mollejo M, Casado LF, Calbacho M, Baumann T, Rapado I, Gallardo M, Sarandeses P, Ayala R, Martínez-López J, Barrio S. Real-life disease monitoring in follicular lymphoma patients using liquid biopsy ultra-deep sequencing and PET/CT. Leukemia 2023; 37:659-669. [PMID: 36596983 DOI: 10.1038/s41375-022-01803-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 12/09/2022] [Accepted: 12/19/2022] [Indexed: 01/05/2023]
Abstract
In the present study, we screened 84 Follicular Lymphoma patients for somatic mutations suitable as liquid biopsy MRD biomarkers using a targeted next-generation sequencing (NGS) panel. We found trackable mutations in 95% of the lymph node samples and 80% of the liquid biopsy baseline samples. Then, we used an ultra-deep sequencing approach with 2 · 10-4 sensitivity (LiqBio-MRD) to track those mutations on 151 follow-up liquid biopsy samples from 54 treated patients. Positive LiqBio-MRD at first-line therapy correlated with a higher risk of progression both at the interim evaluation (HRINT 11.0, 95% CI 2.10-57.7, p = 0.005) and at the end of treatment (HREOT, HR 19.1, 95% CI 4.10-89.4, p < 0.001). Similar results were observed by PET/CT Deauville score, with a median PFS of 19 months vs. NR (p < 0.001) at the interim and 13 months vs. NR (p < 0.001) at EOT. LiqBio-MRD and PET/CT combined identified the patients that progressed in less than two years with 88% sensitivity and 100% specificity. Our results demonstrate that LiqBio-MRD is a robust and non-invasive approach, complementary to metabolic imaging, for identifying FL patients at high risk of failure during the treatment and should be considered in future response-adapted clinical trials.
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Affiliation(s)
- Ana Jiménez-Ubieto
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.
| | - María Poza
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | | | - Yanira Ruiz-Heredia
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,Altum sequencing Co., Madrid, Spain
| | - Sara Dorado
- Altum sequencing Co., Madrid, Spain.,Computational Science Department, Carlos III University, Madrid, Spain
| | | | - Juan Manuel Rosa-Rosa
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Antonia Rodriguez
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Carmen Barcena
- Hospital Universitario 12 de Octubre, Departamento de Anatomía Patológica, Madrid, Spain
| | | | | | - Ricardo Sanchez
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,Altum sequencing Co., Madrid, Spain
| | - Laura Rufian
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,Altum sequencing Co., Madrid, Spain
| | - Alexandra Juárez
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,Altum sequencing Co., Madrid, Spain
| | - Margarita Rodriguez
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,Altum sequencing Co., Madrid, Spain
| | - Chongwu Wang
- Hosea Precision Medical Technology Co., Ltd., Weihai, Shangdong, China
| | - Paula de Toledo
- Computational Science Department, Carlos III University, Madrid, Spain
| | | | | | | | - María Calbacho
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Tycho Baumann
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Inmaculada Rapado
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Miguel Gallardo
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain.,H12O-CNIO Haematological Malignancies Clinical Research Unit, CNIO, Madrid, Spain
| | - Pilar Sarandeses
- Hospital Universitario 12 de Octubre, Departamento de Medicina Nuclear, Madrid, Spain
| | - Rosa Ayala
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Joaquín Martínez-López
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain
| | - Santiago Barrio
- Department of Hematology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), CNIO, CIBERONC, Madrid, Spain. .,Altum sequencing Co., Madrid, Spain.
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22
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Alhaj Moustafa M. Timing of CAR-T therapy in follicular lymphoma. Expert Rev Anticancer Ther 2023; 23:347-349. [PMID: 36825538 DOI: 10.1080/14737140.2023.2185222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
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23
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Clinical characteristics and outcomes of follicular lymphoma patients with extranodal involvement: analysis of a series of 1090 cases in China. Clin Transl Oncol 2023; 25:1821-1829. [PMID: 36808598 DOI: 10.1007/s12094-023-03081-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/09/2023] [Indexed: 02/23/2023]
Abstract
BACKGROUND Follicular lymphoma (FL) is the most common indolent B cell lymphoma in the world. The clinical features of extranodal involvement in FL were never extensively described. METHODS We enrolled 1090 patients diagnosed as newly diagnosed FL at ten medical institutions in China from 2000 to 2020 and conducted this analysis and retrospectively explored clinical characteristics and outcomes of FL patients with extranodal involvement. RESULTS 400 (36.7%) patients with newly diagnosed FL had no extranodal involvement, 388 (35.6%) patients had one site of extranodal involvement, and 302 (27.7%) had two or more sites of involvement. Patients with >1 extranodal site had significantly worse PFS (p<0.001), as well as OS (p=0.010). The most common site of extranodal involvements was bone marrow (33%), followed by spleen (27.7%) and intestine (6.7%). In patients with extranodal involvement, multivariate Cox analysis found that male patients (p=0.016), poor performance status (p=0.035), increased LDH (p<0.001) and pancreas involvement (p<0.001) was associated with poor PFS, while the latter three factors were also associated with poor OS. Compared to patients with one site of extranodal involvement, patients with >1 site involvement (p=0.012) had 2.04-fold risk to develop POD24. In addition, multivariate Cox analysis found that the usage of rituximab was not associated with better PFS (p=0.787) or OS (p=0.191). CONCLUSIONS Our cohort is large enough to have statistical significance in FL patients with extranodal involvement. Male sex, increased LDH, poor performance status, >1 extranodal site, as well as pancreas involvement indicated useful prognostic factors in the clinical setting.
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24
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Fischer L, Dreyling M. Follicular lymphoma: an update on biology and optimal therapy. Leuk Lymphoma 2023; 64:761-775. [PMID: 37061956 DOI: 10.1080/10428194.2023.2174804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Follicular lymphoma (FL) is a mature B-cell neoplasm with a mostly indolent course. Genetic hallmark characteristics are Bcl-2 overexpression based on a t(14;18) translocation and additional secondary genetic and epigenetic aberrations. Standard treatment for early-stage patients has curative intent and usually consists of radiotherapy with or without rituximab. In the advanced stage, the main therapeutic focus is on prolonged remissions. Therefore, treatment in asymptomatic patients is usually deferred. Symptomatic patients are subject to immunochemotherapy induction followed by antibody maintenance. Importantly, about one in five patients subsequently experiences a more rapid clinical course, achieving only short remissions with multiple relapses (POD24). In those patients, there is still an urgent need for improved therapeutic options. Accordingly, a plethora of targeted and immunotherapeutic options, including immunomodulatory drugs, small molecule inhibitors, monoclonal antibodies as well as bispecific T-cell engager antibodies and CAR-T cell products have been recently evaluated in such relapsed high-risk patients.
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Affiliation(s)
- Luca Fischer
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Martin Dreyling
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
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Muntañola A, Mozas P, Mercadal S, Huguet M, Bobillo S, Bastos-Oreiro M, Jiménez-Ubieto A, Rovira J, Rivero A, Tolosa C, Luizaga L, de Villambrosia SG, Novelli S, Caballero D, Salar A, Alonso-Álvarez S, Magnano L, Gutiérrez NC, Sancho JM, López-Guillermo A. Early progression in follicular lymphoma in the absence of histological transformation or high-risk Follicular Lymphoma International Prognostic Index still has a favourable outcome. Br J Haematol 2023; 200:306-314. [PMID: 36261137 DOI: 10.1111/bjh.18522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 10/03/2022] [Accepted: 10/07/2022] [Indexed: 01/21/2023]
Abstract
Although follicular lymphoma (FL) patients relapsing within 24 months after first-line treatment (POD24) have a poor prognosis, some cases show notable survival after first relapse (SF1R). We aimed to characterize the POD24 FL population and to identify the main prognostic factors at progression. We selected 162 POD24 patients (80F; median age at first relapse 59 years) from a cohort of 1067 grades 1-3a FL-treated patients. The remaining 905 patients treated with first-line immunochemotherapy and diagnosed during the same period were used to compare outcomes in terms of survival. After a median follow-up of 11.0 years, 96 patients died (10y-SF1R of 40%). Age over 60 years (p < 0.001), high lactate dehydrogenase (LDH) (p < 0.001), haemoglobin (Hb) less than 120 g/L (p < 0.001), advanced stage (p < 0.001), high-risk Follicular Lymphoma International Prognostic Index (FLIPI) (p < 0.001), histological transformation (HT) (p < 0.001) and reaching less than complete response (CR) after salvage therapy (p < 0.001), predicted poor SF1R at relapse. In multivariate analysis only high-risk FLIPI and HT maintained prognostic significance for SF1R. POD24 patients not transformed and with low/intermediate FLIPI at relapse behaved better than the remaining cases. POD24 patients showed an excess mortality of 38% compared to the general population. Although outcome of POD24 FL patients is poor, a considerable group of them (low/intermediate FLIPI and not transformed at first relapse) behave better.
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Affiliation(s)
- Ana Muntañola
- Hospital Universitari Mútua Terrassa, Terrassa, Spain
| | - Pablo Mozas
- Hospital Clínic de Barcelona, Carrer de Villarroel, Barcelona, Spain
| | - Santiago Mercadal
- Hospital Duran i Reynals-ICO Hospitalet, Av. de la Granvia de l'Hospitalet, Barcelona, Spain
| | - Maria Huguet
- Hospital Germans Trias i Pujol-ICO Badalona, Carretera de Canyet, Barcelona, Spain
| | - Sabela Bobillo
- Hospital Universitari Vall d'Hebrón, Passeig de la Vall d'Hebron, Barcelona, Spain
| | - Mariana Bastos-Oreiro
- Hospital Universitario Gregorio Marañón / Gregorio Marañón Health Institute (IiSGM), Madrid, Spain
| | | | | | - Andrea Rivero
- Hospital Clínic de Barcelona, Carrer de Villarroel, Barcelona, Spain
| | - Carles Tolosa
- Hospital Universitari Mútua Terrassa, Terrassa, Spain
| | - Luis Luizaga
- Hospital Universitari Mútua Terrassa, Terrassa, Spain
| | | | | | - Dolores Caballero
- Hospital Universitario de Salamanca/IBSAL, CIBERONC and Center for Cancer Research-IBMCC (USAL-CSIC), Salamanca, Spain
| | - Antonio Salar
- Hospital del Mar, Passeig Marítim de la Barceloneta, Barcelona, Spain
| | | | - Laura Magnano
- Hospital Clínic de Barcelona, Carrer de Villarroel, Barcelona, Spain
| | - Norma C Gutiérrez
- Hospital Universitario de Salamanca/IBSAL, CIBERONC and Center for Cancer Research-IBMCC (USAL-CSIC), Salamanca, Spain
| | - Juan-Manuel Sancho
- Hospital Germans Trias i Pujol-ICO Badalona, Carretera de Canyet, Barcelona, Spain
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26
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Interim Positron Emission Tomography During Frontline Chemoimmunotherapy for Follicular Lymphoma. Hemasphere 2023; 7:e826. [PMID: 36713355 PMCID: PMC9875968 DOI: 10.1097/hs9.0000000000000826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/05/2022] [Indexed: 01/31/2023] Open
Abstract
While most patients with follicular lymphoma (FL) have excellent outcomes with frontline chemoimmunotherapy (CIT), a subset of patients will experience early progression, which is associated with poor subsequent outcomes. Novel biomarkers are needed to identify high-risk patients earlier. We hypothesized that interim positron emission tomography (PET) would predict progression-free survival (PFS) in this population. We retrospectively identified 128 patients with grade 1-3A FL who had an interim PET after 2-4 cycles of frontline CIT at 2 academic centers. PET scans were analyzed using Deauville score (DS) and change in maximum standardized uptake value (ΔSUVmax). Interim PET DS was a significant predictor of PFS (P < 0.003). Patients with a DS of 3 had outcomes similar to those of patients with a DS of 4, so were categorized as PET-positive for additional analyses. Interim PET remained a strong predictor of PFS (DS 3-5, hazard ratio [HR] 2.4, P = 0.006) in a multivariable analysis and was also an early predictor of both a positive end-of-treatment PET (P < 0.001) and progression of disease within 24 months (POD24) (P = 0.006). An optimal ΔSUVmax cutoff of 75% was selected using the bootstrap method. ΔSUVmax <75% was also a significant predictor of PFS on univariable and multivariable analyses (HR 2.8, P < 0.003). In a separate cohort of 50 patients with high-grade FL, interim PET interpreted using either DS (P < 0.001) or ΔSUVmax75% (P = 0.034) was also a significant predictor of inferior PFS. In conclusion, interim PET is an independent predictor of PFS and may be useful as a tool for response-adapted treatment strategies in FL.
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Li X, Abrahams C, Yu A, Embry M, Henningsen R, DeAlmeida V, Matheny S, Kline T, Yam A, Stafford R, Hallam T, Lupher M, Molina A. Targeting CD74 in B-cell non-Hodgkin lymphoma with the antibody-drug conjugate STRO-001. Oncotarget 2023; 14:1-13. [PMID: 36634212 PMCID: PMC9836384 DOI: 10.18632/oncotarget.28341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Overexpression of CD74, a type II transmembrane glycoprotein involved in MHC class II antigen presentation, has been reported in many B-cell non-Hodgkin lymphomas (NHLs) and in multiple myeloma (MM). STRO-001 is a site-specific, predominantly single-species antibody-drug conjugate (ADC) that targets CD74 and has demonstrated efficacy in xenograft models of MM and tolerability in non-human primates. Here we report results of preclinical studies designed to elucidate the potential role of STRO-001 in B-cell NHL. STRO-001 displayed nanomolar and sub-nanomolar cytotoxicity in 88% (15/17) of cancer cell lines tested. STRO-001 showed potent cytotoxicity on proliferating B cells while limited cytotoxicity was observed on naïve human B cells. A linear dose-response relationship was demonstrated in vivo for DLBCL models SU-DHL-6 and U2932. Tumor regression was induced at doses less than 5 mg/kg, while maximal activity with complete cures were observed starting at 10 mg/kg. In MCL Mino and Jeko-1 xenografts, STRO-001 starting at 3 mg/kg significantly prolonged survival or induced tumor regression, respectively, leading to tumor eradication in both models. In summary, high CD74 expression levels in tumors, nanomolar cellular potency, and significant anti-tumor in DLBCL and MCL xenograft models support the ongoing clinical study of STRO-001 in patients with B-cell NHL.
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Affiliation(s)
- Xiaofan Li
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA,Correspondence to:Xiaofan Li, email:
| | - Cristina Abrahams
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Abigail Yu
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Millicent Embry
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Robert Henningsen
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Venita DeAlmeida
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Shannon Matheny
- 2Clinical Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Toni Kline
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Alice Yam
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Ryan Stafford
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Trevor Hallam
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Mark Lupher
- 1Research Development, Sutro Biopharma, South San Francisco, CA 94080, USA
| | - Arturo Molina
- 2Clinical Development, Sutro Biopharma, South San Francisco, CA 94080, USA,Arturo Molina, email:
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28
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Fernández-Miranda I, Pedrosa L, Llanos M, Franco FF, Gómez S, Martín-Acosta P, García-Arroyo FR, Gumá J, Horcajo B, Ballesteros AK, Gálvez L, Martínez N, Marín M, Sequero S, Navarro M, Yanguas-Casás N, Calvo V, Rueda-Domínguez A, Provencio M, Sánchez-Beato M. Monitoring of Circulating Tumor DNA Predicts Response to Treatment and Early Progression in Follicular Lymphoma: Results of a Prospective Pilot Study. Clin Cancer Res 2023; 29:209-220. [PMID: 36269794 PMCID: PMC9811164 DOI: 10.1158/1078-0432.ccr-22-1654] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 07/26/2022] [Accepted: 10/19/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE Follicular lymphoma (FL) is the most frequent indolent non-Hodgkin lymphoma. Around 20% of patients suffer early disease progression within 24 months (POD24) of diagnosis. This study examined the significance of circulating tumor DNA (ctDNA) in predicting response to therapy and POD24 in patients with FL. EXPERIMENTAL DESIGN We collected 100 plasma samples, before and during the treatment, from 36 patients with FL prospectively enrolled in 8 Spanish hospitals. They were treated with a chemotherapy-rituximab regimen and followed up for a median of 3.43 years. We performed targeted deep sequencing in cell-free DNA (cfDNA) and tumor genomic DNA from 31 diagnostic biopsy samples. RESULTS Of the alterations detected in the diagnostic tissue samples, 73% (300/411) were also identified in basal cfDNA. The mean numbers of alterations per basal cfDNA sample in patients who suffered progression of disease within 24 months (POD24-pos) or did not achieve complete response (non-CR) were significantly higher than in POD24-neg or CR patients (unpaired samples t test, P = 0.0001 and 0.001, respectively). Pretreatment ctDNA levels, as haploid genome equivalents per milliliter of plasma, were higher in patients without CR (P = 0.02) and in POD24-pos patients compared with POD24-neg patients (P < 0.001). Dynamic analysis showed that ctDNA levels decreased dramatically after treatment, although the reduction was more significant in patients with CR and POD24-neg patients. CONCLUSIONS Basal ctDNA levels are associated with the risk of early progression and response to treatment in FL. cfDNA monitoring and genotyping during treatment and follow-up predict response to treatment and early progression.
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Affiliation(s)
- Ismael Fernández-Miranda
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain.,PhD Program in Molecular Biosciences, Doctoral School, Universidad Autónoma de Madrid, Madrid, Spain
| | - Lucía Pedrosa
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain.,PhD Program in Molecular Biosciences, Doctoral School, Universidad Autónoma de Madrid, Madrid, Spain
| | - Marta Llanos
- Department of Medical Oncology, Hospital Universitario de Canarias, Tenerife, Spain.,Grupo Oncológico para el Tratamiento y Estudio de los Linfomas (GOTEL), Madrid, Spain
| | - Fernando F. Franco
- Department of Medical Oncology, Hospital Universitario Puerta de Hierro-Majadahonda, Madrid, Spain
| | - Sagrario Gómez
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Paloma Martín-Acosta
- Department of Pathology, Cancer Molecular Pathology Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, CIBERONC, Madrid, Spain
| | - Francisco R. García-Arroyo
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas (GOTEL), Madrid, Spain.,Department of Medical Oncology, Complejo Hospitalario de Pontevedra, Spain
| | - Josep Gumá
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas (GOTEL), Madrid, Spain.,Department of Medical Oncology, IISPV-URV, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Beatriz Horcajo
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Ana K. Ballesteros
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Laura Gálvez
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas (GOTEL), Madrid, Spain.,Department of Medical Oncology, Hospitales Universitarios Regional y Virgen de la Victoria de Málaga, Spain
| | - Natividad Martínez
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas (GOTEL), Madrid, Spain.,Department of Medical Oncology, Dr. Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
| | - Miguel Marín
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas (GOTEL), Madrid, Spain.,Department of Medical Oncology, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Silvia Sequero
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas (GOTEL), Madrid, Spain.,Department of Medical Oncology, Hospital Universitario San Cecilio, Granada, Spain
| | - Marta Navarro
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Natalia Yanguas-Casás
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain.,Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Virginia Calvo
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas (GOTEL), Madrid, Spain.,Department of Medical Oncology, Hospital Universitario Puerta de Hierro-Majadahonda, Madrid, Spain
| | - Antonio Rueda-Domínguez
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas (GOTEL), Madrid, Spain.,Department of Medical Oncology, Hospitales Universitarios Regional y Virgen de la Victoria de Málaga, Spain
| | - Mariano Provencio
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas (GOTEL), Madrid, Spain.,Department of Medical Oncology, Hospital Universitario Puerta de Hierro-Majadahonda, Facultad de Medicina, Universidad Autónoma de Madrid, IDIPHISA, Madrid, Spain
| | - Margarita Sánchez-Beato
- Department of Medical Oncology, Lymphoma Research Group, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain.,Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.,Corresponding Author: Margarita Sánchez-Beato, Joaquín Rodrigo 2, Majadahonda, Madrid 28222, Spain. Phone: 349-1191-6095; E-mail:
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Divergent paths: management of early relapsed follicular lymphoma. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2022; 2022:666-675. [PMID: 36485106 PMCID: PMC9820493 DOI: 10.1182/hematology.2022000360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Follicular lymphoma (FL) is the second most common non-Hodgkin lymphoma in the United States and Western Europe. Overall outcomes for patients with FL have continued to improve over the last several decades-most notably, with the addition of the CD20 monoclonal antibody rituximab to the treatment armamentarium. More recently, we have seen advances in the management of patients with relapsed/refractory FL with the approval of several new treatments including lenalidomide, axicabtagene ciloleucel, copanlisib, umbralisib, and tazemetostat. Unfortunately, there remains a group of patients for which treatment outcomes, especially overall survival (OS), are suboptimal. This group has been identified as patients who relapse within 24 months (POD24) of completion of chemoimmunotherapy (CIT). Data indicate that patients who relapse within this window have a 5-year OS of around 50%, compared to 80% for those who remain in remission beyond 24 months. POD24 patients have been included and evaluated in the studies of the novel agents mentioned. While not specifically designed to treat this high-risk group, early data suggest that outcomes are not significantly impacted by this designation, unlike CIT. While to date the optimal management of POD24 patients has not been elucidated, the future appears bright with the continued use of the approved agents and several others in clinical development.
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30
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Li C, Zhang W, Zhao D, Yang P, Wan W, Liu S, Jing H. Development of a new risk scoring system based on spleen involvement and the lymphocyte/monocyte ratio for follicular lymphoma patients. Leuk Res 2022; 123:106980. [DOI: 10.1016/j.leukres.2022.106980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 10/15/2022] [Accepted: 10/20/2022] [Indexed: 11/07/2022]
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31
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Crouch S, Painter D, Barrans SL, Roman E, Beer PA, Cooke SL, Glover P, Van Hoppe SJ, Webster N, Lacy SE, Ruiz C, Campbell PJ, Hodson DJ, Patmore R, Burton C, Smith A, Tooze RM. Molecular subclusters of follicular lymphoma: a report from the United Kingdom's Haematological Malignancy Research Network. Blood Adv 2022; 6:5716-5731. [PMID: 35363872 PMCID: PMC9619185 DOI: 10.1182/bloodadvances.2021005284] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 03/06/2022] [Indexed: 11/20/2022] Open
Abstract
Follicular lymphoma (FL) is morphologically and clinically diverse, with mutations in epigenetic regulators alongside t(14;18) identified as disease-initiating events. Identification of additional mutational entities confirms this cancer's heterogeneity, but whether mutational data can be resolved into mechanistically distinct subsets remains an open question. Targeted sequencing was applied to an unselected population-based FL cohort (n = 548) with full clinical follow-up (n = 538), which included 96 diffuse large B-cell lymphoma (DLBCL) transformations. We investigated whether molecular subclusters of FL can be identified and whether mutational data provide predictive information relating to transformation. DNA extracted from FL samples was sequenced with a 293-gene panel representing genes frequently mutated in DLBCL and FL. Three clusters were resolved using mutational data alone, independent of translocation status: FL_aSHM, with high burden of aberrant somatic hypermutation (aSHM) targets; FL_STAT6, with high STAT6 & CREBBP mutation and low aSHM; and FL_Com, with the absence of features of other subtypes and enriched KMT2D mutation. Analysis of mutation signatures demonstrated differential enrichment of predicted mutation signatures between subgroups and a dominant preference in the FL_aSHM subgroup for G(C>T)T and G(C>T)C transitions consistent with previously defined aSHM-like patterns. Of transformed cases with paired samples, 17 of 26 had evidence of branching evolution. Poorer overall survival (OS) in the aSHM group (P = .04) was associated with older age; however, overall tumor genetics provided limited information to predict individual patient risk. Our approach identifies 3 molecular subclusters of FL linked to differences in underlying mechanistic pathways. These clusters, which may be further resolved by the inclusion of translocation status and wider mutation profiles, have implications for understanding pathogenesis as well as improving treatment strategies in the future.
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Affiliation(s)
- Simon Crouch
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Daniel Painter
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Sharon L. Barrans
- Haematological Malignancy Diagnostic Service, St. James’s Institute of Oncology, Leeds, United Kingdom
| | - Eve Roman
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Philip A. Beer
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom
| | - Susanna L. Cooke
- Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Paul Glover
- Haematological Malignancy Diagnostic Service, St. James’s Institute of Oncology, Leeds, United Kingdom
| | - Suzan J.L. Van Hoppe
- Haematological Malignancy Diagnostic Service, St. James’s Institute of Oncology, Leeds, United Kingdom
| | - Nichola Webster
- Haematological Malignancy Diagnostic Service, St. James’s Institute of Oncology, Leeds, United Kingdom
| | - Stuart E. Lacy
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Camilo Ruiz
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom
| | | | - Daniel J. Hodson
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Russell Patmore
- Queen’s Centre for Oncology and Haematology, Castle Hill Hospital, Cottingham, United Kingdom
| | - Cathy Burton
- Haematological Malignancy Diagnostic Service, St. James’s Institute of Oncology, Leeds, United Kingdom
| | - Alexandra Smith
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Reuben M. Tooze
- Section of Experimental Haematology, Leeds Institute of Molecular Medicine, University of Leeds, Leeds, United Kingdom
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32
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Li N, Jiang M, Wu WC, Zou LQ. Nomograms to predict progression of disease within 24 months in patients with localized natural killer/T-cell lymphoma. Future Oncol 2022; 18:3573-3583. [PMID: 36507722 DOI: 10.2217/fon-2022-0307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Aims: Progression of disease within 24 months (POD24) is associated with poor survival in some subtypes of lymphoma.The aim is to identify high-risk patients with localized extranodal natural killer/T-cell lymphoma (ENKTL) and to define clinical factors associated with the risk of early recurrence after antitumor treatment. Methods: The authors retrospectively analyzed 330 cases with localized ENKTL, of which 89 experienced POD24. Results: The 5-year overall survival of the POD24 group was extremely inferior to that of the non-POD24 group. Risk factors for POD24 were Eastern Cooperative Oncology Group performance status ≥2, response evaluation (non-complete remission) after first-line treatment and elevated lactate dehydrogenase concentrations. Also, higher Epstein-Barr virus DNA titer was related to POD24. Based on these data with or without the availability of Epstein-Barr virus DNA, the authors conducted two nomograms to predict POD24, which showed good accuracy with high C statistics. Conclusion: The results showed that POD24 could serve as a marker to identify patients whose medical needs were unmet in ENKTL.
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Affiliation(s)
- Na Li
- Department of Medical Oncology of Cancer Center, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China.,Department of Oncology, West China Fourth Hospital, West China School of Public Health, Sichuan University, Chengdu, 610041, China
| | - Ming Jiang
- Department of Medical Oncology of Cancer Center, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China
| | - Wan-Chun Wu
- Department of Medical Oncology of Cancer Center, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China
| | - Li-Qun Zou
- Department of Medical Oncology of Cancer Center, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, China
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33
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Genetics of Transformed Follicular Lymphoma. HEMATO 2022. [DOI: 10.3390/hemato3040042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Histological transformation (HT) to a more aggressive disease–mostly diffuse large B-cell lymphoma–is considered one of the most dismal events in the clinical course of follicular lymphoma (FL). Current knowledge has not found a single biological event specific for HT, although different studies have highlighted common genetic alterations, such as TP53 and CDKN2A/B loss, and MYC translocations, among others. Together, they increase genomic complexity and mutational burden at HT. A better knowledge of HT pathogenesis would presumably help to find diagnostic biomarkers allowing the identification of patients at high-risk of transformation, as well as the discrimination from patients with FL recurrence, and those who remain in remission. This would also help to identify new drug targets and the design of clinical trials for the treatment of transformation. In the present review we provide a comprehensive overview of the genetic events frequently identified in transformed FL contributing to the switch towards aggressive behaviour, and we will discuss current open questions in the field of HT.
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34
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Gao F, Zhang T, Liu X, Qu Z, Liu X, Li L, Qiu L, Qian Z, Zhou S, Gong W, Meng B, Ren X, Wang X, Zhang H. Clinical features and outcomes of patients with follicular lymphoma: A real-world study of 926 patients in China. Front Oncol 2022; 12:863021. [PMID: 36185179 PMCID: PMC9522898 DOI: 10.3389/fonc.2022.863021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 08/26/2022] [Indexed: 11/21/2022] Open
Abstract
Background The data about the clinical features and outcomes of Chinese patients with follicular lymphoma (FL) are limited. Here, we conducted a retrospective study to explore the initial treatment strategies and clinical outcomes of Chinese patients with FL in the real world. Method This study included FL patients who were newly diagnosed in Tianjin Medical University Cancer Institute and Hospital from March 2002 to August 2020. Results A total of 926 FL patients were enrolled. The median age was 54 years old, and the majority of the Chinese FL patients had advanced-stage disease and Eastern Cooperative Oncology Group(ECOG) <1 but less frequently infiltrated bone marrow. After a median of 38-month follow-up, the 5-year progressive-free survival (PFS) and overall survival (OS) of grade1-3a were 57.8% and 88.7%, respectively, which both are similar to those reported in previous Chinese and Western studies. The co-existence at diagnosis of FL and diffuse large B-cell lymphoma (DLBCL) components (FL/DLBCL) was associated with poor outcomes. The FL grades and proportion of DLBCL component in FL/DLBCL did not have an impact on PFS and OS. The most common regimen with great efficacy and risk-benefit was RCHOP-like followed by R maintenance regimen. The 5-year cumulative hazard of histological transformation (HT) was 4.7% (95% CI, 3.5-5.9); median time to transformation was 23.5 months (range, 2-146 months) after diagnosis. Three-year survival following transformation was 55% (95% CI, 40-70). Patients with stage III-IV, elevated β2 microglobulin (β2-MG), and B symptoms seemed to be more prone to progress within 24 months of frontline therapy (POD24). The FLIPI-2 showed the highest specificity to predict POD24, reflecting the prediction of correctly classifying as low-risk patients, but the FLIPI had the highest sensitivity to predict the risk of progression for critical patients. Conclusions We revealed the clinical characteristics and outcomes of FL patients in the real world in China, which may provide novel data on prognostic factors and primary treatment of FL, applicable to routine clinical practice.
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Affiliation(s)
- Fenghua Gao
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Tingting Zhang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xia Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Zhenjie Qu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xianming Liu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Lanfang Li
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Lihua Qiu
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Zhengzi Qian
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Shiyong Zhou
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Wenchen Gong
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Bin Meng
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xiubao Ren
- Department of Immunology/Biotherapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xianhuo Wang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Huilai Zhang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
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35
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Mentz M, Keay W, Strobl CD, Antoniolli M, Adolph L, Heide M, Lechner A, Haebe S, Osterode E, Kridel R, Ziegenhain C, Wange LE, Hildebrand JA, Shree T, Silkenstedt E, Staiger AM, Ott G, Horn H, Szczepanowski M, Richter J, Levy R, Rosenwald A, Enard W, Zimber-Strobl U, von Bergwelt-Baildon M, Hiddemann W, Klapper W, Schmidt-Supprian M, Rudelius M, Bararia D, Passerini V, Weigert O. PARP14 is a novel target in STAT6 mutant follicular lymphoma. Leukemia 2022; 36:2281-2292. [PMID: 35851155 PMCID: PMC9417990 DOI: 10.1038/s41375-022-01641-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 06/21/2022] [Accepted: 06/29/2022] [Indexed: 12/02/2022]
Abstract
The variable clinical course of follicular lymphoma (FL) is determined by the molecular heterogeneity of tumor cells and complex interactions within the tumor microenvironment (TME). IL-4 producing follicular helper T cells (TFH) are critical components of the FL TME. Binding of IL-4 to IL-4R on FL cells activates JAK/STAT signaling. We identified STAT6 mutations (STAT6MUT) in 13% of FL (N = 33/258), all clustered within the DNA binding domain. Gene expression data and immunohistochemistry showed upregulation of IL-4/STAT6 target genes in STAT6MUT FL, including CCL17, CCL22, and FCER2 (CD23). Functionally, STAT6MUT was gain-of-function by serial replating phenotype in pre-B CFU assays. Expression of STAT6MUT enhanced IL-4 induced FCER2/CD23, CCL17 and CCL22 expression and was associated with nuclear accumulation of pSTAT6. RNA sequencing identified PARP14 -a transcriptional switch and co-activator of STAT6- among the top differentially upregulated genes in IL-4 stimulated STAT6MUT lymphoma cells and in STAT6MUT primary FL cells. Quantitative chromatin immunoprecipitation (qChIP) demonstrated binding of STAT6MUT but not STAT6WT to the PARP14 promotor. Reporter assays showed increased IL-4 induced transactivation activity of STAT6MUT at the PARP14 promotor, suggesting a self-reinforcing regulatory circuit. Knock-down of PARP14 or PARP-inhibition abrogated the STAT6MUT gain-of-function phenotype. Thus, our results identify PARP14 as a novel therapeutic target in STAT6MUT FL.
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Affiliation(s)
- Michael Mentz
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
- Research Unit Gene Vectors, Helmholtz- Center Munich, German Research Center for Environmental Health, Munich, Germany
| | - William Keay
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Carolin Dorothea Strobl
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Martina Antoniolli
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Louisa Adolph
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Michael Heide
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Axel Lechner
- Department of Otolaryngology, Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Sarah Haebe
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
- Division of Oncology, Department of Medicine, School of Medicine, Stanford, CA, USA
| | - Elisa Osterode
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Robert Kridel
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Christoph Ziegenhain
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-University, Munich, Germany
| | - Lucas Esteban Wange
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-University, Munich, Germany
| | - Johannes Adrian Hildebrand
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Tanaya Shree
- Division of Oncology, Department of Medicine, School of Medicine, Stanford, CA, USA
| | - Elisabeth Silkenstedt
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Annette M Staiger
- Department of Clinical Pathology, Robert Bosch Hospital, Stuttgart, Germany
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart and University of Tübingen, Tübingen, Germany
| | - German Ott
- Department of Clinical Pathology, Robert Bosch Hospital, Stuttgart, Germany
| | - Heike Horn
- Department of Clinical Pathology, Robert Bosch Hospital, Stuttgart, Germany
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart and University of Tübingen, Tübingen, Germany
| | - Monika Szczepanowski
- Institute of Pathology, Hematopathology Section, University of Schleswig-Holstein, Kiel, Germany
| | - Julia Richter
- Institute of Pathology, Hematopathology Section, University of Schleswig-Holstein, Kiel, Germany
| | - Ronald Levy
- Division of Oncology, Department of Medicine, School of Medicine, Stanford, CA, USA
| | - Andreas Rosenwald
- Institute of Pathology, University of Würzburg and Comprehensive Cancer Centre Mainfranken, Würzburg, Germany
| | - Wolfgang Enard
- Division of Oncology, Department of Medicine, School of Medicine, Stanford, CA, USA
| | - Ursula Zimber-Strobl
- Research Unit Gene Vectors, Helmholtz- Center Munich, German Research Center for Environmental Health, Munich, Germany
| | - Michael von Bergwelt-Baildon
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
- German Cancer Consortium (DKTK), Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wolfgang Hiddemann
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
- German Cancer Consortium (DKTK), Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wolfram Klapper
- Institute of Pathology, Hematopathology Section, University of Schleswig-Holstein, Kiel, Germany
| | - Marc Schmidt-Supprian
- German Cancer Consortium (DKTK), Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Experimental Hematology, School of Medicine, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
| | - Martina Rudelius
- Institute of Pathology, Faculty of Medicine, Ludwig-Maximilians-University, Munich, Germany
| | - Deepak Bararia
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Verena Passerini
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany
| | - Oliver Weigert
- Department of Medicine III, Laboratory for Experimental Leukemia and Lymphoma Research (ELLF), Ludwig-Maximilians-University (LMU) Hospital, Munich, Germany.
- German Cancer Consortium (DKTK), Munich, Germany.
- German Cancer Research Center (DKFZ), Heidelberg, Germany.
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Comparative effectiveness of ZUMA-5 (axi-cel) vs SCHOLAR-5 external control in relapsed/refractory follicular lymphoma. Blood 2022; 140:851-860. [PMID: 35679476 PMCID: PMC9412012 DOI: 10.1182/blood.2021014375] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 05/27/2022] [Indexed: 12/02/2022] Open
Abstract
In the pivotal ZUMA-5 trial, axicabtagene ciloleucel (axi-cel; an autologous anti-CD19 chimeric antigen receptor T-cell therapy) demonstrated high rates of durable response in relapsed/refractory (r/r) follicular lymphoma (FL) patients. Here, outcomes from ZUMA-5 are compared with the international SCHOLAR-5 cohort, which applied key ZUMA-5 trial eligibility criteria simulating randomized controlled trial conditions. SCHOLAR-5 data were extracted from institutions in 5 countries, and from 1 historical clinical trial, for r/r FL patients who initiated a third or higher line of therapy after July 2014. Patient characteristics were balanced through propensity scoring on prespecified prognostic factors using standardized mortality ratio (SMR) weighting. Time-to-event outcomes were evaluated using weighted Kaplan-Meier analysis. Overall response rate (ORR) and complete response (CR) rate were compared using weighted odds ratios. The 143 ScHOLAR-5 patients reduced to an effective sample of 85 patients after SMR weighting vs 86 patients in ZUMA-5. Median follow-up time was 25.4 and 23.3 months for SCHOLAR-5 and ZUMA-5. Median overall survival (OS) and progression-free survival (PFS) in SCHOLAR-5 were 59.8 months and 12.7 months and not reached in ZUMA-5. Hazard ratios for OS and PFS were 0.42 (95% confidence interval [CI], 0.21-0.83) and 0.30 (95% CI, 0.18-0.49). The ORR and CR rate were 49.9% and 29.9% in SCHOLAR-5 and 94.2% and 79.1% in ZUMA-5, for odds ratios of 16.2 (95% CI, 5.6-46.9) and 8.9 (95% CI, 4.3-18.3). Compared with available therapies, axi-cel demonstrated an improvement in meaningful clinical endpoints, suggesting axi-cel addresses an important unmet need for r/r FL patients. This trial was registered at www.clinicaltrials.gov as #NCT03105336.
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Liu L, Yu X, Li Z, He X, Zha J, Lin Z, Hong Y, Zheng H, Lai Q, Ding K, Jia X, Fu G, Yu H, Yang H, Li Z, Young KH, Xu B. Revealing the evolution of the tumor immune microenvironment in follicular lymphoma patients progressing within 24 months using single-cell imaging mass cytometry. J Hematol Oncol 2022; 15:115. [PMID: 35996180 PMCID: PMC9396877 DOI: 10.1186/s13045-022-01326-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/04/2022] [Indexed: 11/11/2022] Open
Abstract
Background Patients with follicular lymphoma (FL) who experience disease progression within 24 months (POD24) have inferior outcomes. The tumor immune microenvironment (TIME) plays a crucial role in pathogenesis and progression of follicular lymphoma (FL). However, TIME evolution during progression of disease within 24 months (POD24) is elusive. Methods Spatially resolved and single-cell image mass cytometry with a panel of 36 metal-tagged antibodies was used to quantitatively analyze the TIME structure in 13 paired FLs at diagnosis and POD24. Results Follicles and peri-follicular regions were well dissected in structure. Peri-follicular regions represented a barrier for immune infiltration into the follicles. More FL-cells in the peri-follicular regions suffered CD8+T cells attacks under simultaneous protection of regulatory T cells (Tregs) and/or macrophages compared with that in the follicles irrespective of POD24. During POD24, increased CD163− macrophages with PD-1 ligand upregulation and decreased CD8+T cells with upregulated LAG-3 expression around FL-cells were observed in the follicles. Spatial analyses demonstrated that FL-cells interacted more intimately with macrophages than with Tregs and less with cytotoxic T cells in both peri-follicular regions and follicles during POD24. In comparison, macrophages also cooperated more frequently with Tregs to simultaneously hijack FL-cells, creating an enhanced immunosuppressive environment in both peri-follicular and follicular regions during POD24. Conclusions Peri-follicular regions function as a barrier by recruiting both CD8+T cells and immunosuppressive cells, protecting follicular FL-cells from immune attack at diagnosis or POD24. FL-cells reside in a more immune-compromised microenvironment and evade immune cell attacks during POD24. Novel immunotherapeutic approaches harnessing LAG-3, macrophages, and Tregs will be empowered to overcome poor outcomes in patients with FL POD24. Supplementary Information The online version contains supplementary material available at 10.1186/s13045-022-01326-z.
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Affiliation(s)
- Long Liu
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, People's Republic of China.,Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361003, People's Republic of China
| | - Xingxing Yu
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, People's Republic of China.,Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361003, People's Republic of China
| | - Zhifeng Li
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, People's Republic of China.,Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361003, People's Republic of China
| | - Xiaohua He
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, People's Republic of China
| | - Jie Zha
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, People's Republic of China.,Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361003, People's Republic of China
| | - Zhijuan Lin
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, People's Republic of China.,Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361003, People's Republic of China
| | - Yan Hong
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, People's Republic of China.,Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361003, People's Republic of China
| | - Huijian Zheng
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, People's Republic of China.,Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361003, People's Republic of China
| | - Qian Lai
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, People's Republic of China.,Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361003, People's Republic of China
| | - Kaiyang Ding
- Department of Hematology, The First Affiliated Hospital of USTC Anhui Provincial Hospital, Hefei, 230001, People's Republic of China
| | - Xian Jia
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, 361005, People's Republic of China
| | - Guo Fu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, 361005, People's Republic of China
| | - Haifeng Yu
- Department of Lymphoma, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, 310012, People's Republic of China.,Department of Lymphoma, Institute of Cancer, and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, 310012, People's Republic of China
| | - Haiyan Yang
- Department of Lymphoma, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, 310012, People's Republic of China.,Department of Lymphoma, Institute of Cancer, and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, 310012, People's Republic of China
| | - Zhiming Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, People's Republic of China.
| | - Ken H Young
- Hematopathology Division, Department of Pathology, Duke University Medical Center, Durham, NC, 27710, USA. .,Duke University Cancer Institute, Durham, NC, USA.
| | - Bing Xu
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, People's Republic of China. .,Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361003, People's Republic of China.
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38
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Wan X, Guo W, Wang X, Li J, Zhao Y, Feng X, Young KH, Bai O. Improving the prognostic ability of PET/CT SUVmax to identify follicular lymphoma with early treatment failure. Am J Cancer Res 2022; 12:3857-3869. [PMID: 36119824 PMCID: PMC9442020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 06/27/2022] [Indexed: 06/15/2023] Open
Abstract
Follicular lymphoma (FL) has a high degree of heterogeneity both clinically and molecularly. Early treatment failure (ETF), progression or relapse within 24 months of frontline immunochemotherapy is associated with a poor prognosis in FL. However, the clinical utility of ETF at diagnosis is limited. The maximum standardized uptake value (SUVmax) is a metabolic parameter for positron emission tomography/computed tomography (PET/CT); nevertheless, the relationship between SUVmax and ETF remains unclear. Thus, identifying early biomarkers that incorporate SUVmax and other clinical correlative variables could be helpful in identifying patients at high risk of ETF. A nomogram consisted of three independent variables, including SUVmax ≥ 12, beta-2 microglobulin > 3 mg/L, and Ki67 > 40%, was established to predict ETF in 127 patients with grade 1, 2, or 3a FL from the First Hospital of Jilin University (training cohort) and was validated using data from the Duke University Medical Center (validation cohort, n=95). The nomogram demonstrated prognostic accuracy in predicting ETF (sensitivity 70.8% and specificity 83.5% in the training cohort; sensitivity 84.2% and specificity 68.4% in the validation cohort). The patients were stratified into three groups: low-, intermediate-, and high-risk. In the training cohort, the corresponding 5-year progression-free survival (PFS) rates were 81.7%, 73.4%, and 34.9%, and the 5-year overall survival (OS) rates were 97.4%, 87.4%, and 62.3%, respectively. In the validation cohort, the 5-year PFS rates were 77.7%, 52.9%, and 34.8%, and the 5-year OS rates were 96.4%, 94.1%, and 73.7%, respectively. This was the first study to use a nomogram with SUVmax to predict ETF in FL to identify a subset of patients who might benefit from individualized targeted therapy.
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Affiliation(s)
- Xin Wan
- Department of Hematology, The First Hospital of Jilin UniversityJilin, China
| | - Wei Guo
- Department of Hematology, The First Hospital of Jilin UniversityJilin, China
| | - Xingtong Wang
- Department of Hematology, The First Hospital of Jilin UniversityJilin, China
| | - Jia Li
- Department of Hematology, The First Hospital of Jilin UniversityJilin, China
| | - Yangzhi Zhao
- Department of Hematology, The First Hospital of Jilin UniversityJilin, China
| | - Xiaomeng Feng
- Department of Hematology, The First Hospital of Jilin UniversityJilin, China
| | - Ken H Young
- Division of Hematopathology, Department of Pathology, Duke University Medical Center and Duke Cancer InstituteDurham, NC, USA
| | - Ou Bai
- Department of Hematology, The First Hospital of Jilin UniversityJilin, China
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Molecular Cytogenetic Profiling Reveals Similarities and Differences Between Localized Nodal and Systemic Follicular Lymphomas. Hemasphere 2022; 6:e767. [PMID: 35974958 PMCID: PMC9371558 DOI: 10.1097/hs9.0000000000000767] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 07/07/2022] [Indexed: 11/25/2022] Open
Abstract
Recently, we have developed novel highly promising gene expression (GE) classifiers discriminating localized nodal (LFL) from systemic follicular lymphoma (SFL) with prognostic impact. However, few data are available in LFL especially concerning hotspot genetic alterations that are associated with the pathogenesis and prognosis of SFL. A total of 144 LFL and 527 SFL, enrolled in prospective clinical trials of the German Low Grade Lymphoma Study Group, were analyzed by fluorescence in situ hybridization to detect deletions in chromosomes 1p, 6q, and 17p as well as BCL2 translocations to determine their impact on clinical outcome of LFL patients. The frequency of chromosomal deletions in 1p and 17p was comparable between LFL and SFL, while 6q deletions and BCL2 translocations more frequently occurred in SFL. A higher proportion of 1p deletions was seen in BCL2-translocation–positive LFL, compared with BCL2-translocation–negative LFL. Deletions in chromosomes 1p, 6q, and 17p predicted clinical outcome of patients with SFL in the entire cohort, while only deletions in chromosome 1p retained its negative prognostic impact in R-CHOP–treated SFL. In contrast, no deletions in one of the investigated genetic loci predicted clinical outcome in LFL. Likewise, the presence or absence of BCL2 translocations had no prognostic impact in LFL. Despite representing a genetic portfolio closely resembling SFL, LFL showed some differences in deletion frequencies. BCL2 translocation and 6q deletion frequency differs between LFL and SFL and might contribute to distinct genetic profiles in LFL and SFL.
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40
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Li H, Wang M, Zhang Y, Hu F, Wang K, Wang C, Gao Z. Prediction of prognosis and pathologic grade in follicular lymphoma using 18F-FDG PET/CT. Front Oncol 2022; 12:943151. [PMID: 35965552 PMCID: PMC9366037 DOI: 10.3389/fonc.2022.943151] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/06/2022] [Indexed: 11/24/2022] Open
Abstract
Purpose We investigated the utility of a new baseline PET parameter expressing lesion dissemination and metabolic parameters for predicting progression-free survival (PFS) and pathologic grade in follicular lymphoma (FL). Methods The baseline 18F-FDG PET/CT images of 126 patients with grade 1–3A FL were retrospectively analyzed. A novel PET/CT parameter characterizing lesion dissemination, the distance between two lesions that were furthest apart (Dmax), was calculated. The total metabolic tumor volume and total lesion glycolysis (TLG) were computed by using 41% of the maximum standardized uptake value (SUVmax) thresholding method. Results The 5-year PFS rate was 51.9% for all patients. In the multivariate analysis, high Dmax [P = 0.046; hazard ratio (HR) = 2.877], high TLG (P = 0.004; HR = 3.612), and elevated serum lactate dehydrogenase (P = 0.041; HR = 2.287) were independent predictors of PFS. A scoring system for prognostic stratification was established based on these three adverse factors, and the patients were classified into three risk categories: low risk (zero to one factor, n = 75), intermediate risk (two adverse factors, n = 29), and high risk (three adverse factors, n = 22). Patients in the high-risk group had a shorter 3-year PFS (21.7%) than those in the low- and intermediate-risk groups (90.6 and 44.6%, respectively) (P < 0.001). The C-index of our scoring system for PFS (0.785) was superior to the predictive capability of the Follicular Lymphoma International Prognostic Index (FLIPI), FLIPI2, and PRIMA-Prognostic Index (C-index: 0.628–0.701). The receiver operating characteristic curves and decision curve analysis demonstrated that the scoring system had better differentiation and clinical utility than these existing indices. In addition, the median SUVmax was significantly higher in grade 3A (36 cases) than in grades 1 and 2 FL (90 cases) (median: 13.63 vs. 11.45, P = 0.013), but a substantial overlap existed (range: 2.25–39.62 vs. 3.17–39.80). Conclusion TLG and Dmax represent two complementary aspects of the disease, capturing the tumor burden and lesion dissemination. TLG and Dmax are promising metrics for identifying patients at a high risk of progression or relapse. Additionally, SUVmax seems to have some value for distinguishing grade 3A from low-grade FL but cannot substitute for biopsy.
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Affiliation(s)
- Hongyan Li
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Min Wang
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yajing Zhang
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Fan Hu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Kun Wang
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Chenyang Wang
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Zairong Gao
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
- *Correspondence: Zairong Gao,
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High baseline total lesion glycolysis predicts early progression of disease within 24 months in patients with high-tumor-burden follicular lymphoma. Int J Hematol 2022; 116:712-722. [PMID: 35857194 DOI: 10.1007/s12185-022-03418-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 10/17/2022]
Abstract
Despite the introduction of rituximab-containing regimens, approximately 20% of patients with follicular lymphoma (FL) still experience progression of disease within 24 months (POD24) and have poor overall survival. Therefore, a more accurate risk assessment tool is required. We investigated the predictive value of two new volume-based parameters determined from baseline 18 F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT), baseline total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG), in 45 patients with high-tumor-burden FL who underwent baseline PET/CT. We observed that high TMTV, high TLG, and poor initial treatment response (less than complete [metabolic] response [non-CR/CMR] at the end of induction therapy) independently predicted poor PFS. Notably, POD24-positive patients were more common in the high-TLG group than in the high-TMTV group, which suggests that TLG is a stronger predictor of outcomes than TMTV. Combining baseline TLG and initial treatment response showed that patients with both high TLG and non-CR/CMR experienced significantly poorer outcomes, with a 2 year PFS of 0% (hazard ratio 60.39, P = 0.000002). This combination had 56% sensitivity and 100% specificity for detecting patients who would experience POD24. Baseline TLG and initial treatment response can precisely identify patients at high risk of POD24.
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42
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[Clinical features and outcomes of newly diagnosed follicular lymphoma concurrent with diffuse large B-cell lymphoma component]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2022; 43:456-462. [PMID: 35968587 PMCID: PMC9800229 DOI: 10.3760/cma.j.issn.0253-2727.2022.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Objective: To explore the clinical features and survival of newly diagnosed follicular lymphoma (FL) patients with diffuse large B-cell lymphoma (DLBCL) component. Methods: 1845 newly diagnosed FL patients aged ≥ 18 years with grades 1-3a in 11 medical centers in China from 2000 to 2020 were included, and patients with DLBCL component were screened. The clinical data and survival data of the patients were retrospectively analyzed, and the prognostic factors were screened by univariate and multivariate analysis. Results: 146 patients (7.9% ) with newly diagnosed FL had DLBCL component. The median age was 56 (25-83) years, 79 males (54.1% ) . The pathology of 127 patients showed the proportion of DLBCL component. Patients were divided into two groups according to whether the proportion of DLBCL component was ≥ 50% . The study found that patients with DLBCL component ≥ 50% had higher grade 3 ratio (94.3% vs 91.9% , P=0.010) , Ki-67 index ≥ 70% ratio (58.5% vs 32.9% , P=0.013) and PET-CT SUVmax ≥ 13 ratio (72.4% vs 46.3% , P=0.030) than patients with DLBCL component<50% . All patients received CHOP or CHOP like ± rituximab chemotherapy. The overall response rate (ORR) was 88.2% , and the complete response (CR) rate was 76.4% . In the groups with different proportions of DLBCL component, there was no significant difference in the remission rate after induction treatment and the incidence of disease progression within 2 years after initiation of treatment (POD24) (P<0.05) . The overall estimated 5-year progression free survival (PFS) rate was 58.9% , and the 5-year overall survival (OS) rate was 90.4% . The 5-year OS rate of POD24 patients was lower than that of non POD24 patients (70.3% vs 98.5% , P<0.001) . Compared with non maintenance treatment of rituximab, maintenance treatment of rituximab could not benefit the 5-year PFS rate (57.7% vs 58.8% , P=0.543) , and the 5-year OS rate had a benefit trend, but the difference was not statistically significant (100% vs 87.8% , P=0.082) . Multivariate analysis showed that failure to reach CR after induction treatment was an independent risk factor for PFS (P=0.006) , while LDH higher than normal was an independent risk factor for OS (P=0.031) . Conclusion: FL patients with DLBCL component ≥50% have more invasive clinical and pathological features. CHOP/CHOP like ± rituximab regimen can improve the clinical efficacy of patients. Rituximab maintenance therapy can not benefit the PFS and OS of patients. Failure to reach CR after induction therapy was the independent unfavorable factor for PFS.
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43
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Odutola MK, van Leeuwen MT, Turner J, Bruinsma F, Seymour JF, Prince HM, Milliken ST, Trotman J, Verner E, Tiley C, Roncolato F, Underhill CR, Opat SS, Harvey M, Hertzberg M, Benke G, Giles GG, Vajdic CM. Associations between Smoking and Alcohol and Follicular Lymphoma Incidence and Survival: A Family-Based Case-Control Study in Australia. Cancers (Basel) 2022; 14:cancers14112710. [PMID: 35681690 PMCID: PMC9179256 DOI: 10.3390/cancers14112710] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/16/2022] [Accepted: 05/27/2022] [Indexed: 12/10/2022] Open
Abstract
The association between smoking and alcohol consumption and follicular lymphoma (FL) incidence and clinical outcome is uncertain. We conducted a population-based family case-control study (709 cases: 490 controls) in Australia. We assessed lifetime history of smoking and recent alcohol consumption and followed-up cases (median = 83 months). We examined associations with FL risk using unconditional logistic regression and with all-cause and FL-specific mortality of cases using Cox regression. FL risk was associated with ever smoking (OR = 1.38, 95%CI = 1.08−1.74), former smoking (OR = 1.36, 95%CI = 1.05−1.77), smoking initiation before age 17 (OR = 1.47, 95%CI = 1.06−2.05), the highest categories of cigarettes smoked per day (OR = 1.44, 95%CI = 1.04−2.01), smoking duration (OR = 1.53, 95%CI = 1.07−2.18) and pack-years (OR = 1.56, 95%CI = 1.10−2.22). For never smokers, FL risk increased for those exposed indoors to >2 smokers during childhood (OR = 1.84, 95%CI = 1.11−3.04). For cases, current smoking and the highest categories of smoking duration and lifetime cigarette exposure were associated with elevated all-cause mortality. The hazard ratio for current smoking and FL-specific mortality was 2.97 (95%CI = 0.91−9.72). We found no association between recent alcohol consumption and FL risk, all-cause or FL-specific mortality. Our study showed consistent evidence of an association between smoking and increased FL risk and possibly also FL-specific mortality. Strengthening anti-smoking policies and interventions may reduce the population burden of FL.
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Affiliation(s)
- Michael K. Odutola
- Centre for Big Data Research in Health, University of New South Wales, Sydney 2052, Australia; (M.K.O.); (M.T.v.L.)
| | - Marina T. van Leeuwen
- Centre for Big Data Research in Health, University of New South Wales, Sydney 2052, Australia; (M.K.O.); (M.T.v.L.)
| | - Jennifer Turner
- Department of Anatomical Pathology, Douglass Hanly Moir Pathology, Macquarie Park 2113, Australia;
- Department of Clinical Medicine, Faculty of Medicine, Health and Human Science, Macquarie University, North Ryde 2109, Australia
| | - Fiona Bruinsma
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia; (F.B.); (G.G.G.)
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville 3010, Australia
| | - John F. Seymour
- Royal Melbourne Hospital, Melbourne 3052, Australia;
- Peter MacCallum Cancer Centre, University of Melbourne, Parkville 3010, Australia;
| | - Henry M. Prince
- Peter MacCallum Cancer Centre, University of Melbourne, Parkville 3010, Australia;
- Epworth Healthcare, Richmond 3121, Australia
| | - Samuel T. Milliken
- St. Vincent’s Hospital, Sydney 2010, Australia;
- University of New South Wales, Sydney 2052, Australia; (F.R.); (M.H.)
| | - Judith Trotman
- Concord Repatriation General Hospital, Concord 2139, Australia; (J.T.); (E.V.)
- Faculty of Medicine and Health, University of Sydney, Concord 2139, Australia
| | - Emma Verner
- Concord Repatriation General Hospital, Concord 2139, Australia; (J.T.); (E.V.)
- Faculty of Medicine and Health, University of Sydney, Concord 2139, Australia
| | - Campbell Tiley
- Gosford Hospital, Gosford 2250, Australia;
- School of Medicine and Public Health, The University of Newcastle, Newcastle 2308, Australia
| | - Fernando Roncolato
- University of New South Wales, Sydney 2052, Australia; (F.R.); (M.H.)
- St. George Hospital, Kogarah 2217, Australia
| | - Craig R. Underhill
- Rural Medical School, Albury 2640, Australia;
- Border Medical Oncology Research Unit, Albury 2640, Australia
| | - Stephen S. Opat
- Clinical Haematology, Monash Health and Monash University, Clayton 3168, Australia;
| | - Michael Harvey
- Liverpool Hospital, Liverpool 2170, Australia;
- Western Sydney University, Sydney 2000, Australia
| | - Mark Hertzberg
- University of New South Wales, Sydney 2052, Australia; (F.R.); (M.H.)
- Department of Haematology, Prince of Wales Hospital, Sydney 2031, Australia
| | - Geza Benke
- School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia;
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia; (F.B.); (G.G.G.)
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville 3010, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton 3168, Australia
| | - Claire M. Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney 2052, Australia; (M.K.O.); (M.T.v.L.)
- Kirby Institute, University of New South Wales, Sydney 2052, Australia
- Correspondence:
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Validation of POD24 as a robust early clinical end point of poor survival in FL from 5225 patients on 13 clinical trials. Blood 2022; 139:1684-1693. [PMID: 34614146 PMCID: PMC9974165 DOI: 10.1182/blood.2020010263] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 07/16/2021] [Indexed: 01/19/2023] Open
Abstract
Observational studies and stand-alone trials indicate that patients with follicular lymphoma (FL) who experience disease progression within 24 months of front-line chemoimmunotherapy (POD24), have poor outcomes. We performed a pooled analysis of 13 randomized clinical trials of patients with FL in the pre- and postrituximab eras to identify clinical factors that predict POD24. Logistic regression models evaluated the association between clinical factors and POD24. Cox regression evaluated the association between POD24 as a time-dependent factor and subsequent overall survival (OS). A landmark analysis evaluated the association of POD24 with OS for the subset of patients who were alive at 24 months after trial registration. Patients without progression at 24 months at baseline had favorable performance status (PS), limited-stage (I/II) disease, low-risk FL International Prognostic Index (FLIPI) score, normal baseline hemoglobin, and normal baseline β2 microglobulin (B2M) level. In a multivariable logistic regression model, male sex (odds ratio [OR], 1.30), PS ≥2 (OR, 1.63), B2M (≥3 mg/L; OR, 1.43), and high-risk FLIPI score (3-5; OR, 3.14) were associated with increased risk of progression before 24 months. In the time-dependent Cox model and the 24-month landmark analysis, POD24 was associated with poor subsequent OS (hazard ratio, 4.85 and 3.06, respectively). This is the largest pooled analysis of clinical trials data validating POD24 as a robust indicator of poor FL survival and identified clinical predictors of early death and progression that can aid in building comprehensive prognostic models incorporating clinical and molecular predictors of POD24.
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45
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90-yttrium-ibritumomab tiuxetan as first-line treatment for follicular lymphoma: updated efficacy and safety results at an extended median follow-up of 9.6 years. Ann Hematol 2022; 101:781-788. [PMID: 35150296 PMCID: PMC8913448 DOI: 10.1007/s00277-022-04781-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 01/27/2022] [Indexed: 11/29/2022]
Abstract
Radioimmunotherapy with 90-yttrium-ibritumomab tiuxetan (90Y-IT) as first-line treatment in patients with follicular lymphoma (FL) demonstrated promising results with a complete remission (CR) rate of 56% and a median progression-free survival (PFS) of 26 months, when initially analyzed after a median follow-up of 30.6 months. The aim of this long-term follow-up was to investigate whether clinical benefits were maintained and new safety signals appeared. Fifty-nine patients, aged ≥ 50 years, with FL grade 1 to 3A in stages II to IV were treated with 90Y-IT as first-line therapy. If CR without evidence of minimal residual disease (MRD), partial response or stable disease was achieved 6 months after treatment, patients were observed without further treatment. Patients with CR but persisting MRD received consolidation therapy with rituximab. The primary endpoint was the clinical response rate. Secondary endpoints were time to progression, safety, and tolerability. After a median follow-up of 9.6 years, median PFS was 3.6 years, and 8-year PFS was 38.3%. Median overall survival (OS) was not reached during the extended follow-up, and 8-year OS amounted to 69.2%. Age 65 years and above or disease progression within 24 months of treatment were significantly associated with shorter OS. An important finding was the lack of new safety signals. In particular, no increase in secondary malignancies or transformation into aggressive lymphoma was observed compared to trials with a similar follow-up. In summary, 90Y-IT as first-line treatment demonstrates a favorable safety profile and long-term clinical activity in a substantial fraction of FL patients in need of therapy. ClinicalTrials.gov Identifier: NCT00772655.
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46
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Mosquera Orgueira A, Cid López M, Peleteiro Raíndo A, Abuín Blanco A, Díaz Arias JÁ, González Pérez MS, Antelo Rodríguez B, Bao Pérez L, Ferreiro Ferro R, Aliste Santos C, Pérez Encinas MM, Fraga Rodríguez MF, Cerchione C, Mozas P, Bello López JL. Personally Tailored Survival Prediction of Patients With Follicular Lymphoma Using Machine Learning Transcriptome-Based Models. Front Oncol 2022; 11:705010. [PMID: 35083135 PMCID: PMC8784530 DOI: 10.3389/fonc.2021.705010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 12/16/2021] [Indexed: 11/13/2022] Open
Abstract
Follicular Lymphoma (FL) has a 10-year mortality rate of 20%, and this is mostly related to lymphoma progression and transformation to higher grades. In the era of personalized medicine it has become increasingly important to provide patients with an optimal prediction about their expected outcomes. The objective of this work was to apply machine learning (ML) tools on gene expression data in order to create individualized predictions about survival in patients with FL. Using data from two different studies, we were able to create a model which achieved good prediction accuracies in both cohorts (c-indexes of 0.793 and 0.662 in the training and test sets). Integration of this model with m7-FLIPI and age rendered high prediction accuracies in the test set (cox c-index 0.79), and a simplified approach identified 4 groups with remarkably different outcomes in terms of survival. Importantly, one of the groups comprised 27.35% of patients and had a median survival of 4.64 years. In summary, we have created a gene expression-based individualized predictor of overall survival in FL that can improve the predictions of the m7-FLIPI score.
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Affiliation(s)
- Adrián Mosquera Orgueira
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.,University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Miguel Cid López
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.,University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Andrés Peleteiro Raíndo
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.,University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Aitor Abuín Blanco
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
| | - Jose Ángel Díaz Arias
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
| | - Marta Sonia González Pérez
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
| | - Beatriz Antelo Rodríguez
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.,University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Laura Bao Pérez
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.,University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Roi Ferreiro Ferro
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
| | - Carlos Aliste Santos
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain
| | - Manuel Mateo Pérez Encinas
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.,University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Máximo Francisco Fraga Rodríguez
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.,University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Claudio Cerchione
- Istituto Tumori della Romagna Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori" - Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Meldola, Italy
| | - Pablo Mozas
- Hospital Clinic de Barcelona, Barcelona, Spain
| | - José Luis Bello López
- University Hospital of Santiago de Compostela, SERGAS, Santiago de Compostela, Spain.,Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.,University of Santiago de Compostela, Santiago de Compostela, Spain
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Wang Y, Zhou S, Qi X, Yang F, Maurer MJ, Habermann TM, Witzig TE, Wang ML, Nowakowski GS. Efficacy of front-line immunochemotherapy for follicular lymphoma: a network meta-analysis of randomized controlled trials. Blood Cancer J 2022; 12:1. [PMID: 34987165 PMCID: PMC8728708 DOI: 10.1038/s41408-021-00598-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/09/2021] [Accepted: 12/16/2021] [Indexed: 11/25/2022] Open
Abstract
Front-line treatment for follicular lymphoma has evolved with the introduction of maintenance therapy, bendamustine (Benda), obinutuzumab (G), and lenalidomide (Len). We conducted a random-effects Bayesian network meta-analysis (NMA) of phase 3 randomized controlled trials (RCTs) to identify the regimens with superior efficacy. Progression-free survival (PFS) was compared between 11 modern regimens with different immunochemotherapy and maintenance strategies. G-Benda-G resulted in with the best PFS, with an HR of 0.41 compared to R-Benda, a surface under the cumulative ranking curve (SUCRA) of 0.97, a probability of being the best treatment (PbBT) of 72%, and a posterior ranking distribution (PoRa) of 1 (95% BCI 1-3). This was followed by R-Benda-R4 (HR = 0.49, PbBT = 25%, PoRa = 2) and R-Benda-R (HR = 0.60, PbBT = 3%, PoRa = 3). R-CHOP-R (HR = 0.96) and R-Len-R (HR = 0.97) had similar efficacy to R-Benda. Bendamustine was a better chemotherapy backbone than CHOP either with maintenance (R-Benda-R vs R-CHOP-R, HR = 0.62; G-Benda-G vs G-CHOP-G, HR = 0.55) or without maintenance therapy (R-Benda vs R-CHOP, HR = 0.68). Rituximab maintenance improved PFS following R-CHOP (R-CHOP-R vs R-CHOP, HR = 0.65) or R-Benda (R-Benda-R vs R-Benda, HR = 0.60; R-Benda-R4 vs R-Benda, HR = 0.49). In the absence of multi-arm RCTs that include all common regimens, this NMA provides an important and useful guide to inform treatment decisions.
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Affiliation(s)
- Yucai Wang
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.
| | - Shouhao Zhou
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Xinyue Qi
- Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fang Yang
- The Comprehensive Cancer Centre of Drum Tower Hospital, Clinical Cancer Institute of Nanjing University, Nanjing, China
| | - Matthew J Maurer
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | - Michael L Wang
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Watanabe T. Approaches of the Innate Immune System to Ameliorate Adaptive Immunotherapy for B-Cell Non-Hodgkin Lymphoma in Their Microenvironment. Cancers (Basel) 2021; 14:cancers14010141. [PMID: 35008305 PMCID: PMC8750340 DOI: 10.3390/cancers14010141] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 12/14/2021] [Accepted: 12/23/2021] [Indexed: 12/21/2022] Open
Abstract
A dominant paradigm being developed in immunotherapy for hematologic malignancies is of adaptive immunotherapy that involves chimeric antigen receptor (CAR) T cells and bispecific T-cell engagers. CAR T-cell therapy has yielded results that surpass those of the existing salvage immunochemotherapy for patients with relapsed/refractory diffuse large B-cell lymphoma (DLBCL) after first-line immunochemotherapy, while offering a therapeutic option for patients with follicular lymphoma (FL) and mantle cell lymphoma (MCL). However, the role of the innate immune system has been shown to prolong CAR T-cell persistence. Cluster of differentiation (CD) 47-blocking antibodies, which are a promising therapeutic armamentarium for DLBCL, are novel innate immune checkpoint inhibitors that allow macrophages to phagocytose tumor cells. Intratumoral Toll-like receptor 9 agonist CpG oligodeoxynucleotide plays a pivotal role in FL, and vaccination may be required in MCL. Additionally, local stimulator of interferon gene agonists, which induce a systemic anti-lymphoma CD8+ T-cell response, and the costimulatory molecule 4-1BB/CD137 or OX40/CD134 agonistic antibodies represent attractive agents for dendritic cell activations, which subsequently, facilitates initiation of productive T-cell priming and NK cells. This review describes the exploitation of approaches that trigger innate immune activation for adaptive immune cells to operate maximally in the tumor microenvironment of these lymphomas.
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Affiliation(s)
- Takashi Watanabe
- Department of Personalized Cancer Immunotherapy, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu City 514-8507, Japan
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49
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Mondello P, Ansell SM. Tazemetostat: a treatment option for relapsed/refractory follicular lymphoma. Expert Opin Pharmacother 2021; 23:295-301. [PMID: 34904909 DOI: 10.1080/14656566.2021.2014815] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Follicular lymphoma (FL) is the second most common form of B cell lymphoma and generally presents as an indolent and relatively slow-growing tumor. However, most FLs are incurable with a shortening of subsequent responses. Therefore, novel and more effective treatments are desperately needed. Tazemetostat is a first-in-class, selective, oral inhibitor of EZH2, a lysine methyltransferase that is mutated in about 25% of FL. Tazemetostat has been recently approved for relapsed/refractory FL after two or more lines of therapy in the presence of an EZH2 mutation or independent of an EZH2 mutation in the absence of other options. AREAS COVERED Here, the authors provide a review focusing on the molecular mechanisms of EZH2, clinical development of tazemetostat and other EZH2 inhibitors (EZH2i), as single-agent therapy and in combinatorial regimens. Finally, they provide a futuristic look at therapeutic approaches for this disease. EXPERT OPINION Tazemetostat monotherapy showed clinically meaningful and durable responses with a favorable toxicity profile, especially in EZH2 mutant lymphoma. Future studies should explore mechanism-based combinatorial regimens to maximize and prolong the anti-lymphoma effect.
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Affiliation(s)
- Patrizia Mondello
- Division of Hematology and Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Stephen M Ansell
- Division of Hematology and Internal Medicine, Mayo Clinic, Rochester, MN, USA
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Follicular lymphoma: is there an optimal way to define risk? Hematology 2021; 2021:313-319. [DOI: 10.1182/hematology.2021000264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
Follicular lymphoma (FL) has a long natural history and typically indolent behavior. In the present era, there are a plethora of prognostic factors combining clinical, biological, and genetic data to determine patient prognosis and help develop treatment strategies over the course of a patient's lifetime. The rapid pace of tumor-specific and clinical advances in FL has created a challenge in the prioritization and implementation of these factors into clinical practice. Developing a comprehensive understanding of existing prognostic markers in FL will help select optimal ways of utilization in the clinical setting and investigate opportunities to define and intervene upon risk at FL diagnosis and disease recurrence.
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