1
|
Marianini P, Lacheretz-Szablewski V, Almeras M, Moreaux J, Bret C. CD38, CD39, and BCL2 differentiate disseminated forms of high-grade B-cell lymphomas in biological fluids from Burkitt lymphoma and diffuse large B-cell lymphoma. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2024. [PMID: 39295433 DOI: 10.1002/cyto.b.22208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 08/28/2024] [Accepted: 09/10/2024] [Indexed: 09/21/2024]
Abstract
High-grade B-cell lymphomas (HGBCL) represent a heterogeneous group of very rare mature B-cell lymphomas. The 4th revised edition of the WHO Classification of Tumors of Hematopoietic and Lymphoid Tissues (WHO-HAEM) previously defined two categories of HGBCL: the so-called double-hit (DHL) and triple-hit (THL) lymphomas, which were related to forms harboring MYC and BCL2 and/or BCL6 rearrangements, and HGBCL, NOS (not otherwise specified), corresponding to entities with intermediate characteristics between diffuse large B-cell lymphoma (DLBCL) and Burkitt lymphoma (BL), without rearrangement of the MYC and BCL2, and/or BCL6 genes. In the 5th edition of the WHO-HAEM, DHL with MYC and BCL2 rearrangements or THL were reassigned as DLBCL/HGBCL with MYC and BCL2 rearrangements (DLBCL/HGBL-MYC/BCL2), whereas the category HGBCL, NOS remains unchanged. Characterized by an aggressive clinical presentation and a poor prognosis, HGBCL is often diagnosed at an advanced, widespread stage, leading to potential disseminated forms with a leukemic presentation, or spreading to the bone marrow (BM) or other biological fluids. Flow cytometric immunophenotypic study of these disseminated cells can provide a rapid method to identify HGBCL. However, due to the scarcity of cases, only limited data about the immunophenotypic features of HGBCL by multiparametric flow cytometry are available. In addition, identification of HGBCL cells by this technique may be challenging due to clinical, pathological, and biological features that can overlap with other distinct lymphoid malignancies, including Burkitt lymphoma (BL), diffuse large B-cell lymphoma (DLBCL), and even B acute lymphoblastic leukemia (B-ALL). In this study, we aimed to characterize the detailed immunophenotypic portrait of HGBCL, evaluating by multiparametric flow cytometry (MFC) the expression of 26 markers on biological samples obtained from a cohort of 10 newly-diagnosed cases and comparing their level of expression with normal peripheral blood (PB) B lymphocytes (n = 10 samples), tumoral cells from patients diagnosed with B-ALL (n = 30), BL (n = 13), or DLBCL (n = 22). We then proposed a new and simple approach to rapidly distinguish disseminated forms of HGBCL, BL, and DLBCL, using the combination of MFC data for CD38, BCL2, and CD39, the three most discriminative markers explored in this study. We finally confirmed the utility of the scoring system previously proposed by Khanlari to distinguish HGBCL cells from B lymphoblasts of B-ALL. In conclusion, we described a distinct immunophenotypic portrait of HGBCL cells and proposed a strategy to differentiate these cells from other aggressive B lymphoma entities in biological samples.
Collapse
Affiliation(s)
- Pauline Marianini
- Department of Biological Hematology, St Eloi Hospital, Montpellier University Hospital, Montpellier, France
| | - Vanessa Lacheretz-Szablewski
- Department of Pathology and Onco-Biology, Gui de Chauliac Hospital, Montpellier University Hospital, Montpellier, France
- Faculty of Medicine, University of Montpellier, Montpellier, France
| | | | - Jérôme Moreaux
- Department of Biological Hematology, St Eloi Hospital, Montpellier University Hospital, Montpellier, France
- Faculty of Medicine, University of Montpellier, Montpellier, France
- CNRS UMR 9002, Institute of Human Genetics, Montpellier, France
- Institut Universitaire de France, Paris, France
| | - Caroline Bret
- Department of Biological Hematology, St Eloi Hospital, Montpellier University Hospital, Montpellier, France
- Faculty of Medicine, University of Montpellier, Montpellier, France
- CNRS UMR 9002, Institute of Human Genetics, Montpellier, France
| |
Collapse
|
2
|
Corcoran SR, Phelan JD, Choi J, Shevchenko G, Fenner RE, Yu X, Scheich S, Hsiao T, Morris VM, Papachristou EK, Kishore K, D'Santos CS, Ji Y, Pittaluga S, Wright GW, Urlaub H, Pan KT, Oellerich T, Muppidi J, Hodson DJ, Staudt LM. Molecular Determinants of Sensitivity to Polatuzumab Vedotin in Diffuse Large B-Cell Lymphoma. Cancer Discov 2024; 14:1653-1674. [PMID: 38683128 DOI: 10.1158/2159-8290.cd-23-0802] [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: 07/15/2023] [Revised: 03/12/2024] [Accepted: 04/23/2024] [Indexed: 05/01/2024]
Abstract
Polatuzumab vedotin (Pola-V) is an antibody-drug conjugate directed to the CD79B subunit of the B-cell receptor (BCR). When combined with conventional immunochemotherapy, Pola-V improves outcomes in diffuse large B-cell lymphoma (DLBCL). To identify determinants of Pola-V sensitivity, we used CRISPR-Cas9 screening for genes that modulated Pola-V toxicity for lymphomas or the surface expression of its target, CD79B. Our results reveal the striking impact of CD79B glycosylation on Pola-V epitope availability on the lymphoma cell surface and on Pola-V toxicity. Genetic, pharmacological, and enzymatic approaches that remove sialic acid from N-linked glycans enhanced lymphoma killing by Pola-V. Pola-V toxicity was also modulated by KLHL6, an E3 ubiquitin ligase that is recurrently inactivated in germinal center derived lymphomas. We reveal how KLHL6 targets CD79B for degradation in normal and malignant germinal center B cells, thereby determining expression of the surface BCR complex. Our findings suggest precision medicine strategies to optimize Pola-V as a lymphoma therapeutic. Significance: These findings unravel the molecular basis of response heterogeneity to Pola-V and identify approaches that might be deployed therapeutically to enhance the efficacy of CD79B-specific tumor killing. In addition, they reveal a novel post-translational mechanism used by normal and malignant germinal center B cells to regulate expression of the BCR. See related commentary by Leveille, p. 1577 See related article by Meriranta et al.
Collapse
Affiliation(s)
- Sean R Corcoran
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts
| | - James D Phelan
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Jaewoo Choi
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Galina Shevchenko
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Rachel E Fenner
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Xin Yu
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Sebastian Scheich
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Tony Hsiao
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Vivian M Morris
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
- Department of Biology, Johns Hopkins University, Baltimore, Maryland
| | | | - Kamal Kishore
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Clive S D'Santos
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Yanlong Ji
- Max-Planck-Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Stefania Pittaluga
- Laboratory of Pathology, National Cancer Institute, NIH, Bethesda, Maryland
| | - George W Wright
- Biometrics Research Program, National Cancer Institute, NIH, Bethesda, Maryland
| | - Henning Urlaub
- Max-Planck-Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Kuan-Ting Pan
- University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Thomas Oellerich
- University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Jagan Muppidi
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Daniel J Hodson
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Louis M Staudt
- Lymphoid Malignancies Branch, National Cancer Institute, NIH, Bethesda, Maryland
| |
Collapse
|
3
|
Brand MVD, Tzankov A, Scheijde-Vermeulen M, Barbé E, Dirnhofer S, Stenner F, Hebeda K, Chamuleau M, Jong DD. The diagnosis of Burkitt lymphoma: how do pathologists apply criteria in daily practice? Leuk Lymphoma 2024:1-4. [PMID: 39205632 DOI: 10.1080/10428194.2024.2396542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/23/2024] [Accepted: 08/12/2024] [Indexed: 09/04/2024]
Affiliation(s)
- Michiel van den Brand
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
- Pathology-DNA, location Rijnstate Hospital, Arnhem, the Netherlands
| | - Alexandar Tzankov
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Ellis Barbé
- Department of Pathology, AmsterdamUMC, location VU University Medical Center, Amsterdam, the Netherlands
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Frank Stenner
- Department of Oncology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Konnie Hebeda
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Martine Chamuleau
- Department of Haematology, AmsterdamUMC, location VU University Medical Center, Amsterdam, the Netherlands
| | - Daphne de Jong
- Department of Pathology, AmsterdamUMC, location VU University Medical Center, Amsterdam, the Netherlands
| |
Collapse
|
4
|
Du KX, Wu YF, Hua W, Duan ZW, Gao R, Liang JH, Li Y, Yin H, Wu JZ, Shen HR, Wang L, Shao Y, Li JY, Liang JH, Xu W. Identify truly high-risk TP53-mutated diffuse large B cell lymphoma patients and explore the underlying biological mechanisms. Cell Commun Signal 2024; 22:401. [PMID: 39148095 PMCID: PMC11325619 DOI: 10.1186/s12964-024-01765-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: 01/06/2024] [Accepted: 07/23/2024] [Indexed: 08/17/2024] Open
Abstract
TP53 mutation (TP53-mut) correlates with inferior survival in many cancers, whereas its prognostic role in diffuse large B-cell lymphoma (DLBCL) is still in controversy. Therefore, more precise risk stratification needs to be further explored for TP53-mut DLBCL patients. A set of 2637 DLBCL cases from multiple cohorts, was enrolled in our analysis. Among the 2637 DLBCL patients, 14.0% patients (370/2637) had TP53-mut. Since missense mutations account for the vast majority of TP53-mut DLBCL patients, and most non-missense mutations affect the function of the P53 protein, leading to worse survival rates, we distinguished patients with missense mutations. A TP53 missense mutation risk model was constructed based on a 150-combination machine learning computational framework, demonstrating excellent performance in predicting prognosis. Further analysis revealed that patients with high-risk missense mutations are significantly associated with early progression and exhibit dysregulation of multiple immune and metabolic pathways at the transcriptional level. Additionally, the high-risk group showed an absolutely suppressed immune microenvironment. To stratify the entire cohort of TP53-mut DLBCL, we combined clinical characteristics and ultimately constructed the TP53 Prognostic Index (TP53PI) model. In summary, we identified the truly high-risk TP53-mut DLBCL patients and explained this difference at the mutation and transcriptional levels.
Collapse
Affiliation(s)
- Kai-Xin Du
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Yi-Fan Wu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Wei Hua
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Zi-Wen Duan
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Rui Gao
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, OX3 7LE, UK
| | - Jun-Heng Liang
- Nanjing Geneseeq Technology Inc, Nanjing, Jiangsu, China
| | - Yue Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Hua Yin
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Jia-Zhu Wu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Hao-Rui Shen
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Li Wang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Yang Shao
- Nanjing Geneseeq Technology Inc, Nanjing, Jiangsu, China
| | - Jian-Yong Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Jin-Hua Liang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
| | - Wei Xu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
| |
Collapse
|
5
|
Li JR, Shaw VR, Parthasarathy A, Li Y, Amos CI, Cheng C. Prognostic stratification in DLBCL patients with aberrant MYC gene. Br J Haematol 2024. [PMID: 39137931 DOI: 10.1111/bjh.19699] [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: 05/18/2024] [Accepted: 07/31/2024] [Indexed: 08/15/2024]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease characterized by a subset of patients who exhibit treatment resistance and poor prognoses. Genomic assays have been widely employed to identify high-risk individuals characterized by rearrangements in the MYC, BCL2 and BCL6 genes. These patients typically undergo more aggressive therapeutic treatments; however, there remains a significant variation in their treatment outcomes. This study introduces an MYC signature score (MYCSS) derived from gene expression profiles, specifically designed to evaluate MYC overactivation in DLBCL patients. MYCSS was validated across several independent cohorts to assess its ability to stratify patients based on MYC-related genetic and molecular aberrations, enhancing the accuracy of prognostic evaluations compared to conventional MYC biomarkers. Our results indicate that MYCSS significantly refines prognostic accuracy beyond that of conventional MYC biomarkers focused on genetic aberrations. More importantly, we found that nearly 50% of patients identified as high risk by traditional MYC metrics actually share similar survival prospects with those having no MYC aberrations. These patients may benefit from standard GCB-based therapies rather than more aggressive treatments. MYCSS provides a robust signature that identifies high-risk patients, aiding in the precision treatment of DLBCL, and minimizing the potential for overtreatment.
Collapse
Affiliation(s)
- Jian-Rong Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Vikram R Shaw
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
| | - Abi Parthasarathy
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
| | - Yong Li
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Chao Cheng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| |
Collapse
|
6
|
Hu D, Cao J, Yu H, Ding N, Mi L, Ye Y, Li M, Wang D, Wu J, Wang X, Song Y, Zhu J, Ping L. PI3K inhibitor idelalisib enhances the anti-tumor effects of CDK4/6 inhibitor palbociclib via PLK1 in B-cell lymphoma. Cancer Lett 2024; 597:216996. [PMID: 38815797 DOI: 10.1016/j.canlet.2024.216996] [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: 02/27/2024] [Revised: 05/10/2024] [Accepted: 05/23/2024] [Indexed: 06/01/2024]
Abstract
Relapsed or refractory diffuse large B cell lymphoma (DLBCL) and mantle cell lymphoma (MCL) patients still faced with poor survival, representing an unmet clinical need. In-depth research into the disease's pathogenesis and the development of targeted treatment strategies are urgently needed. Here, we conducted a comprehensive bioinformatic analysis of gene mutation and expression using data from our center and public databases. Cell cycle-related genes especially for CDKN2A/B-CDK4/6/CCND1 machinery altered frequently in DLBCL and MCL. Clinically, high CDK4 and CDK6 expression were correlated with poor prognosis of DLBCL and MCL patients. Furthermore, we also validated the pharmacological efficacy of CDK4/6 inhibitor palbociclib and its synergy effect with PI3K inhibitor idelalisib utilizing in vitro cell lines and in vivo cell-derived xenograft (CDX) and patient-derived xenograft (PDX) mouse models. Our results provided sufficient pre-clinical evidence to support the potential combination of palbociclib and idelalisib for DLBCL and MCL patients.
Collapse
MESH Headings
- Humans
- Purines/pharmacology
- Animals
- Piperazines/pharmacology
- Pyridines/pharmacology
- Quinazolinones/pharmacology
- Cyclin-Dependent Kinase 6/antagonists & inhibitors
- Cyclin-Dependent Kinase 6/metabolism
- Mice
- Xenograft Model Antitumor Assays
- Cell Line, Tumor
- Cyclin-Dependent Kinase 4/antagonists & inhibitors
- Cyclin-Dependent Kinase 4/metabolism
- Drug Synergism
- Protein Serine-Threonine Kinases/antagonists & inhibitors
- Protein Serine-Threonine Kinases/metabolism
- Protein Serine-Threonine Kinases/genetics
- Proto-Oncogene Proteins/antagonists & inhibitors
- Proto-Oncogene Proteins/metabolism
- Proto-Oncogene Proteins/genetics
- Lymphoma, Mantle-Cell/drug therapy
- Lymphoma, Mantle-Cell/pathology
- Lymphoma, Mantle-Cell/genetics
- Phosphoinositide-3 Kinase Inhibitors/pharmacology
- Lymphoma, Large B-Cell, Diffuse/drug therapy
- Lymphoma, Large B-Cell, Diffuse/pathology
- Lymphoma, Large B-Cell, Diffuse/genetics
- Antineoplastic Combined Chemotherapy Protocols/pharmacology
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Cell Proliferation/drug effects
- Female
- Protein Kinase Inhibitors/pharmacology
Collapse
Affiliation(s)
- Dingyao Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Jiaowu Cao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Hui Yu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Ning Ding
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Lan Mi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Yingying Ye
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Miaomiao Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Dedao Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Jiajin Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Xiaogan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Yuqin Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Jun Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Lingyan Ping
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| |
Collapse
|
7
|
Stokes ME, Wenzl K, Huang CC, Ortiz M, Hsu CC, Maurer MJ, Stong N, Nakayama Y, Wu L, Chiu H, Polonskaia A, Danziger SA, Towfic F, Parker J, King RL, Link BK, Slager SL, Sarangi V, Asmann YW, Novak JP, Sudhindra A, Ansell SM, Habermann TM, Hagner PR, Nowakowski GS, Cerhan JR, Novak AJ, Gandhi AK. Transcriptomic classification of diffuse large B-cell lymphoma identifies a high-risk activated B-cell-like subpopulation with targetable MYC dysregulation. Nat Commun 2024; 15:6790. [PMID: 39117654 PMCID: PMC11310352 DOI: 10.1038/s41467-024-50830-y] [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: 08/30/2023] [Accepted: 07/22/2024] [Indexed: 08/10/2024] Open
Abstract
Immunochemotherapy has been the mainstay of treatment for newly diagnosed diffuse large B-cell lymphoma (ndDLBCL) yet is inadequate for many patients. In this work, we perform unsupervised clustering on transcriptomic features from a large cohort of ndDLBCL patients and identify seven clusters, one called A7 with poor prognosis, and develop a classifier to identify these clusters in independent ndDLBCL cohorts. This high-risk cluster is enriched for activated B-cell cell-of-origin, low immune infiltration, high MYC expression, and copy number aberrations. We compare and contrast our methodology with recent DLBCL classifiers to contextualize our clusters and show improved prognostic utility. Finally, using pre-clinical models, we demonstrate a mechanistic rationale for IKZF1/3 degraders such as lenalidomide to overcome the low immune infiltration phenotype of A7 by inducing T-cell trafficking into tumors and upregulating MHC I and II on tumor cells, and demonstrate that TCF4 is an important regulator of MYC-related biology in A7.
Collapse
Affiliation(s)
- Matthew E Stokes
- Informatics and Predictive Sciences, Bristol Myers Squibb, Summit, NJ, USA
| | - Kerstin Wenzl
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - C Chris Huang
- Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA
| | - María Ortiz
- Informatics and Predictive Sciences, Bristol Myers Squibb, Seville, Spain
| | - Chih-Chao Hsu
- Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA
| | - Matthew J Maurer
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Nicholas Stong
- Informatics and Predictive Sciences, Bristol Myers Squibb, Summit, NJ, USA
| | - Yumi Nakayama
- Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA
| | - Lei Wu
- Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA
| | - Hsiling Chiu
- Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA
| | - Ann Polonskaia
- Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA
| | | | - Fadi Towfic
- BMS at the time the study was conducted, Prometheus Biosciences, San Diego, CA, USA
| | - Joel Parker
- LifeEDIT Therapeutics, Research Triangle Park, Durham, NC, USA
| | - Rebecca L King
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Brian K Link
- Division of Hematology, Oncology, Blood and Marrow Transplant, University of Iowa, Iowa City, IA, USA
| | - Susan L Slager
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Yan W Asmann
- Department of Health Science Research, Mayo Clinic, Jacksonville, FL, USA
| | | | - Akshay Sudhindra
- Clinical Research and Development, Bristol Myers Squibb, Summit, NJ, USA
| | | | | | - Patrick R Hagner
- Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA
| | | | | | - Anne J Novak
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Anita K Gandhi
- Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA.
| |
Collapse
|
8
|
Norris R, Jones J, Mancini E, Chevassut T, Simoes FA, Pepper C, Pepper A, Mitchell S. Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data. Blood Cancer J 2024; 14:105. [PMID: 38965209 PMCID: PMC11224250 DOI: 10.1038/s41408-024-01090-y] [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: 12/20/2023] [Revised: 06/18/2024] [Accepted: 06/25/2024] [Indexed: 07/06/2024] Open
Abstract
Genetic heterogeneity and co-occurring driver mutations impact clinical outcomes in blood cancers, but predicting the emergent effect of co-occurring mutations that impact multiple complex and interacting signalling networks is challenging. Here, we used mathematical models to predict the impact of co-occurring mutations on cellular signalling and cell fates in diffuse large B cell lymphoma and multiple myeloma. Simulations predicted adverse impact on clinical prognosis when combinations of mutations induced both anti-apoptotic (AA) and pro-proliferative (PP) signalling. We integrated patient-specific mutational profiles into personalised lymphoma models, and identified patients characterised by simultaneous upregulation of anti-apoptotic and pro-proliferative (AAPP) signalling in all genomic and cell-of-origin classifications (8-25% of patients). In a discovery cohort and two validation cohorts, patients with upregulation of neither, one (AA or PP), or both (AAPP) signalling states had good, intermediate and poor prognosis respectively. Combining AAPP signalling with genetic or clinical prognostic predictors reliably stratified patients into striking prognostic categories. AAPP patients in poor prognosis genetic clusters had 7.8 months median overall survival, while patients lacking both features had 90% overall survival at 120 months in a validation cohort. Personalised computational models enable identification of novel risk-stratified patient subgroups, providing a valuable tool for future risk-adapted clinical trials.
Collapse
Affiliation(s)
- Richard Norris
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - John Jones
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - Erika Mancini
- School of Life Sciences, University of Sussex, Brighton, UK
| | - Timothy Chevassut
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - Fabio A Simoes
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - Chris Pepper
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - Andrea Pepper
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - Simon Mitchell
- Department of Clinical and Experimental Medicine, Brighton and Sussex Medical School, Brighton, UK.
| |
Collapse
|
9
|
Wang X, Liu H, Fei Y, Song Z, Meng X, Yu J, Liu X, Li L, Qiu L, Qian Z, Zhou S, Wang X, Zhang H. Metabolic pathway-based subtyping reveals distinct microenvironmental states associated with diffuse large B-cell lymphoma outcomes. Hematol Oncol 2024; 42:e3279. [PMID: 38819002 DOI: 10.1002/hon.3279] [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: 11/21/2023] [Revised: 03/22/2024] [Accepted: 05/01/2024] [Indexed: 06/01/2024]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a biologically and clinically heterogeneous disease that requires personalized clinical treatment. Assigning patients to different risk categories and cytogenetic abnormality and genetic mutation groups has been widely applied for prognostic stratification of DLBCL. Increasing evidence has demonstrated that dysregulated metabolic processes contribute to the initiation and progression of DLBCL. Metabolic competition within the tumor microenvironment is also known to influence immune cell metabolism. However, metabolism- and immune-related stratification has not been established. Here, 1660 genes involved in 84 metabolic pathways were selected and tested to establish metabolic clusters (MECs) of DLBCL. MECs established based on independent lymphoma datasets distinguished different survival outcomes. The CIBERSORT algorithm and EcoTyper were applied to quantify the relative abundance of immune cell types and identify variation in cell states for 13 lineages comprising the tumor micro environment among different MECs, respectively. Functional characterization showed that MECs were an indicator of the immune microenvironment and correlated with distinctive mutational characteristics and oncogenic signaling pathways. The novel immune-related MECs exhibited promising clinical prognostic value and potential for informing DLBCL treatment decisions.
Collapse
Affiliation(s)
- Xiaohui Wang
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Hengqi Liu
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Yue Fei
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Zheng Song
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xiangrui Meng
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Jingwei Yu
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xia Liu
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Lanfang Li
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Lihua Qiu
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Zhengzi Qian
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Shiyong Zhou
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Xianhuo Wang
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| | - Huilai Zhang
- National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine and Department of Lymphoma, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, The Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
| |
Collapse
|
10
|
Wenzl K, Stokes ME, Novak JP, Bock AM, Khan S, Hopper MA, Krull JE, Dropik AR, Walker JS, Sarangi V, Mwangi R, Ortiz M, Stong N, Huang CC, Maurer MJ, Rimsza L, Link BK, Slager SL, Asmann Y, Mondello P, Morin R, Ansell SM, Habermann TM, Witzig TE, Feldman AL, King RL, Nowakowski G, Cerhan JR, Gandhi AK, Novak AJ. Multiomic analysis identifies a high-risk signature that predicts early clinical failure in DLBCL. Blood Cancer J 2024; 14:100. [PMID: 38902256 PMCID: PMC11189905 DOI: 10.1038/s41408-024-01080-0] [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: 03/26/2024] [Revised: 05/29/2024] [Accepted: 06/04/2024] [Indexed: 06/22/2024] Open
Abstract
Recent genetic and molecular classification of DLBCL has advanced our knowledge of disease biology, yet were not designed to predict early events and guide anticipatory selection of novel therapies. To address this unmet need, we used an integrative multiomic approach to identify a signature at diagnosis that will identify DLBCL at high risk of early clinical failure. Tumor biopsies from 444 newly diagnosed DLBCL were analyzed by WES and RNAseq. A combination of weighted gene correlation network analysis and differential gene expression analysis was used to identify a signature associated with high risk of early clinical failure independent of IPI and COO. Further analysis revealed the signature was associated with metabolic reprogramming and identified cases with a depleted immune microenvironment. Finally, WES data was integrated into the signature and we found that inclusion of ARID1A mutations resulted in identification of 45% of cases with an early clinical failure which was validated in external DLBCL cohorts. This novel and integrative approach is the first to identify a signature at diagnosis, in a real-world cohort of DLBCL, that identifies patients at high risk for early clinical failure and may have significant implications for design of therapeutic options.
Collapse
Affiliation(s)
- Kerstin Wenzl
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Matthew E Stokes
- Informatics and Predictive Sciences, , Bristol Myers Squibb, Summit, NJ, USA
| | | | | | - Sana Khan
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Vivekananda Sarangi
- Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Raphael Mwangi
- Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Maria Ortiz
- Informatics and Predictive Sciences, Celgene Institute for Translational Research Europe (CITRE), Seville, Spain
| | - Nicholas Stong
- Informatics and Predictive Sciences, , Bristol Myers Squibb, Summit, NJ, USA
| | - C Chris Huang
- Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA
| | - Matthew J Maurer
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
- Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Lisa Rimsza
- Division of Hematopathology, Mayo Clinic, Scottsdale, AZ, USA
| | - Brian K Link
- Division of Hematology, University of Iowa, Iowa, USA
| | - Susan L Slager
- Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Yan Asmann
- Department of Quantitative Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | | | - Ryan Morin
- Genome Sciences Center, British Columbia Cancer Agency, Vancouver, BC, Canada
| | | | | | | | - Andrew L Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Rebecca L King
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - James R Cerhan
- Department of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Anita K Gandhi
- Translational Medicine Hematology, Bristol Myers Squibb, Summit, NJ, USA
| | - Anne J Novak
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.
| |
Collapse
|
11
|
Hua W, Li Y, Yin H, Du KX, Zhang XY, Wu JZ, Liang JH, Shen HR, Gao R, Li JY, Wang L, Liang JH, Xu W. Analysis of CCND3 mutations in diffuse large B-cell lymphoma. Ann Hematol 2024:10.1007/s00277-024-05844-3. [PMID: 38886191 DOI: 10.1007/s00277-024-05844-3] [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: 01/21/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024]
Abstract
Diffuse large B-cell lymphoma (DLBCL), accounts for 30-40% of newly diagnosed lymphomas, has an overall cure rate of approximately 60%. Despite previous reports suggesting a negative prognostic association between CCND3 mutations and Burkitt lymphoma, their prognostic implications in DLBCL remain controversial. To investigate this, we evaluated CCND3 mutation status in 2059 DLBCL patient samples from four database (integrated cohort) and additional 167 DLBCL patient samples in our center (JSPH cohort). The mutation was identified in 5.5% (113/2059) of the cases in the integrated cohort, with 86% (97/113) found in exon 5. Furthermore, P284, R271, I290 and Q276 are described as CCND3 mutation hotspots. CCND3 mutation was associated with decreased overall survival (OS) in the integrated cohort (P = 0.0407). Further subgroup analysis revealed that patients diagnosed as EZB subtype DLBCL by LymphGen algorithm with CCND3 mutations had poorer OS than patients diagnosed as EZB subtype without CCND3 mutations (P = 0.0140). Using the next-generation sequencing (NGS) in the JSPH cohort, it was found that both cell cycle and DNA replication pathways were highly upregulated in patients with CCND3 mutations. Our results suggest that CCND3 mutations can serve as a novel prognostic factor in DLBCL pathogenesis. Consequently, the development of personalized therapeutic strategies for DLBCL patients with CCND3 mutations might enhance their prognosis.
Collapse
Affiliation(s)
- Wei Hua
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Yue Li
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Hua Yin
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Kai-Xin Du
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Xin-Yu Zhang
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Jia-Zhu Wu
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Jun-Heng Liang
- Nanjing Geneseeq Technology Inc, Nanjing, Jiangsu, China
| | - Hao-Rui Shen
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Rui Gao
- Department of Endocrinology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, OX3 7LE, UK
| | - Jian-Yong Li
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China
| | - Li Wang
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
| | - Jin-Hua Liang
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
| | - Wei Xu
- Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, 210029, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
| |
Collapse
|
12
|
Negara I, Tomuleasa C, Buruiana S, Efremov DG. Molecular Subtypes and the Role of TP53 in Diffuse Large B-Cell Lymphoma and Richter Syndrome. Cancers (Basel) 2024; 16:2170. [PMID: 38927876 PMCID: PMC11201917 DOI: 10.3390/cancers16122170] [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: 05/09/2024] [Revised: 05/30/2024] [Accepted: 06/01/2024] [Indexed: 06/28/2024] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoid malignancy and a heterogeneous entity comprised of several biologically distinct subtypes. Recently, novel genetic classifications of DLBCL have been resolved based on common mutational patterns indicative of distinct pathways of transformation. However, the complicated and costly nature of the novel classifiers has precluded their inclusion into routine practice. In view of this, the status of the TP53 gene, which is mutated or deleted in 20-30% of the cases, has emerged as an important prognostic factor for DLBCL patients, setting itself apart from other predictors. TP53 genetic lesions are particularly enriched in a genetic subtype of DLBCL that shares genomic features with Richter Syndrome, highlighting the possibility of a subset of DLBCL arising from the transformation of an occult chronic lymphocytic leukemia-like malignancy, such as monoclonal B-cell lymphocytosis. Patients with TP53-mutated DLBCL, including those with Richter Syndrome, have a particularly poor prognosis and display inferior responses to standard chemoimmunotherapy regimens. The data presented in this manuscript argue for the need for improved and more practical risk-stratification models for patients with DLBCL and show the potential for the use of TP53 mutational status for prognostication and, in prospect, treatment stratification in DLBCL.
Collapse
Affiliation(s)
- Ivan Negara
- Molecular Hematology Unit, International Centre for Genetic Engineering and Biotechnology, 34149 Trieste, Italy
- Department of Internal Medicine, Hematology, “Nicolae Testemitanu” State University of Medicine and Pharmacy, 2004 Chisinau, Moldova;
| | - Ciprian Tomuleasa
- Department of Hematology, Iuliu Hatieganu University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania;
| | - Sanda Buruiana
- Department of Internal Medicine, Hematology, “Nicolae Testemitanu” State University of Medicine and Pharmacy, 2004 Chisinau, Moldova;
| | - Dimitar G. Efremov
- Molecular Hematology Unit, International Centre for Genetic Engineering and Biotechnology, 34149 Trieste, Italy
- Macedonian Academy of Sciences and Arts, 1000 Skopje, North Macedonia
| |
Collapse
|
13
|
Menke JR, Aypar U, Bangs CD, Cook SL, Gupta S, Hasserjian RP, Kong CS, Lin O, Long SR, Ly A, Menke JAS, Natkunam Y, Ruiz-Cordero R, Spiteri E, Ye J, Zadeh SL, Gratzinger DA. Performance of MYC, BCL2, and BCL6 break-apart FISH in small biopsies with large B-cell lymphoma: a retrospective Cytopathology Hematopathology Interinstitutional Consortium study. Front Oncol 2024; 14:1408238. [PMID: 38903717 PMCID: PMC11187077 DOI: 10.3389/fonc.2024.1408238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 05/15/2024] [Indexed: 06/22/2024] Open
Abstract
Introduction Fluorescence in situ hybridization (FISH) is an essential ancillary study used to identify clinically aggressive subsets of large B-cell lymphomas that have MYC, BCL2, or BCL6 rearrangements. Small-volume biopsies such as fine needle aspiration biopsy (FNAB) and core needle biopsy (CNB) are increasingly used to diagnose lymphoma and obtain material for ancillary studies such as FISH. However, the performance of FISH in small biopsies has not been thoroughly evaluated or compared to surgical biopsies. Methods We describe the results of MYC, BCL2, and BCL6 FISH in a series of 222 biopsy specimens, including FNAB with cell blocks, CNBs, and surgical excisional or incisional biopsies from 208 unique patients aggregated from 6 academic medical centers. A subset of patients had FNAB followed by a surgical biopsy (either CNB or excisional biopsy) obtained from the same or contiguous anatomic site as part of the same clinical workup; FISH results were compared for these paired specimens. Results FISH had a low hybridization failure rate of around 1% across all specimen types. FISH identified concurrent MYC and BCL2 rearrangements in 20 of 197 (10%) specimens and concurrent MYC and BCL6 rearrangements in 3 of 182 (1.6%) specimens. The paired FNAB and surgical biopsy specimens did not show any discrepancies for MYC or BCL2 FISH; of the 17 patients with 34 paired cytology and surgical specimens, only 2 of the 49 FISH probes compared (4% of all comparisons) showed any discrepancy and both were at the BCL6 locus. One discrepancy was due to necrosis of the CNB specimen causing a false negative BCL6 FISH result when compared to the FNAB cell block that demonstrated a BCL6 rearrangement. Discussion FISH showed a similar hybridization failure rate in all biopsy types. Ultimately, MYC, BCL2, or BCL6 FISH showed 96% concordance when compared across paired cytology and surgical specimens, suggesting FNAB with cell block is equivalent to other biopsy alternatives for evaluation of DLBCL or HGBCL FISH testing.
Collapse
Affiliation(s)
- Joshua R. Menke
- Division of Hematopathology, Department of Pathology, Stanford University, Stanford, CA, United States
| | - Umut Aypar
- Division of Cytogenetics, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Charles D. Bangs
- Division of Cytogenetics, Department of Pathology, Stanford University, Stanford, CA, United States
| | - Stephen L. Cook
- Department of Laboratory Medicine, San Francisco Veterans Administration Health Care System, San Francisco, CA, United States
| | - Srishti Gupta
- Division of Hematopathology, Department of Pathology, Stanford University, Stanford, CA, United States
- Division of Hematopathology, Department of Laboratory Medicine, San Francisco, CA, United States
| | - Robert P. Hasserjian
- Division of Hematopathology, Department of Pathology, Massachusetts General Hospital, Boston, MA, United States
| | - Christina S. Kong
- Division of Cytopathology, Department of Pathology, Stanford University, Stanford, CA, United States
| | - Oscar Lin
- Division of Cytopathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Steven R. Long
- Division of Cytopathology, Department of Pathology, University of California, San Francisco, San Francisco, CA, United States
| | - Amy Ly
- Division of Cytopathology, Department of Pathology, Massachusetts General Hospital, Boston, MA, United States
| | | | - Yasodha Natkunam
- Division of Hematopathology, Department of Pathology, Stanford University, Stanford, CA, United States
| | - Roberto Ruiz-Cordero
- Division of Cytopathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Divisons of Molecular Genetic Pathology, Cytopathology, and Hematopathology, Department of Pathology and Laboratory Medicine, University of Miami, Miami, FL, United States
| | - Elizabeth Spiteri
- Division of Cytogenetics, Department of Pathology, Stanford University, Stanford, CA, United States
| | - Julia Ye
- Division of Cytopathology, Department of Pathology, University of California, San Francisco, San Francisco, CA, United States
| | - Sara L. Zadeh
- Division of Cytopathology, Department of Pathology, University of Virginia, Charlottesville, VA, United States
| | - Dita A. Gratzinger
- Division of Hematopathology, Department of Pathology, Stanford University, Stanford, CA, United States
| |
Collapse
|
14
|
Choi J, Ceribelli M, Phelan JD, Häupl B, Huang DW, Wright GW, Hsiao T, Morris V, Ciccarese F, Wang B, Corcoran S, Scheich S, Yu X, Xu W, Yang Y, Zhao H, Zhou J, Zhang G, Muppidi J, Inghirami GG, Oellerich T, Wilson WH, Thomas CJ, Staudt LM. Molecular targets of glucocorticoids that elucidate their therapeutic efficacy in aggressive lymphomas. Cancer Cell 2024; 42:833-849.e12. [PMID: 38701792 PMCID: PMC11168741 DOI: 10.1016/j.ccell.2024.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/29/2024] [Accepted: 04/09/2024] [Indexed: 05/05/2024]
Abstract
Glucocorticoids have been used for decades to treat lymphomas without an established mechanism of action. Using functional genomic, proteomic, and chemical screens, we discover that glucocorticoids inhibit oncogenic signaling by the B cell receptor (BCR), a recurrent feature of aggressive B cell malignancies, including diffuse large B cell lymphoma and Burkitt lymphoma. Glucocorticoids induce the glucocorticoid receptor (GR) to directly transactivate genes encoding negative regulators of BCR stability (LAPTM5; KLHL14) and the PI3 kinase pathway (INPP5D; DDIT4). GR directly represses transcription of CSK, a kinase that limits the activity of BCR-proximal Src-family kinases. CSK inhibition attenuates the constitutive BCR signaling of lymphomas by hyperactivating Src-family kinases, triggering their ubiquitination and degradation. With the knowledge that glucocorticoids disable oncogenic BCR signaling, they can now be deployed rationally to treat BCR-dependent aggressive lymphomas and used to construct mechanistically sound combination regimens with inhibitors of BTK, PI3 kinase, BCL2, and CSK.
Collapse
MESH Headings
- Humans
- Glucocorticoids/pharmacology
- Receptors, Antigen, B-Cell/metabolism
- Animals
- Signal Transduction/drug effects
- Receptors, Glucocorticoid/metabolism
- Mice
- Cell Line, Tumor
- Lymphoma, Large B-Cell, Diffuse/drug therapy
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/metabolism
- Burkitt Lymphoma/drug therapy
- Burkitt Lymphoma/genetics
- Burkitt Lymphoma/metabolism
- Burkitt Lymphoma/pathology
- Molecular Targeted Therapy/methods
- Phosphatidylinositol 3-Kinases/metabolism
- src-Family Kinases/metabolism
- Gene Expression Regulation, Neoplastic/drug effects
Collapse
Affiliation(s)
- Jaewoo Choi
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michele Ceribelli
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - James D Phelan
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Björn Häupl
- Department of Medicine II, Hematology/Oncology, Goethe University, Frankfurt, Germany; German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60528 Frankfurt am Main, Germany
| | - Da Wei Huang
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - George W Wright
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tony Hsiao
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Vivian Morris
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Francesco Ciccarese
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA; Immunology and Molecular Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, 35128 Padova, Italy
| | - Boya Wang
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sean Corcoran
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sebastian Scheich
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Department of Medicine II, Hematology/Oncology, Goethe University, Frankfurt, Germany; German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60528 Frankfurt am Main, Germany; University Cancer Center (UCT) Frankfurt, University Hospital, Goethe University, 60590 Frankfurt am Main, Germany; Frankfurt Cancer Institute, Goethe University, 60596 Frankfurt am Main, Germany
| | - Xin Yu
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Weihong Xu
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yandan Yang
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hong Zhao
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joyce Zhou
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Grace Zhang
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jagan Muppidi
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Giorgio G Inghirami
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA
| | - Thomas Oellerich
- Department of Medicine II, Hematology/Oncology, Goethe University, Frankfurt, Germany; German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, 60528 Frankfurt am Main, Germany
| | - Wyndham H Wilson
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Craig J Thomas
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Louis M Staudt
- Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| |
Collapse
|
15
|
Silkenstedt E, Salles G, Campo E, Dreyling M. B-cell non-Hodgkin lymphomas. Lancet 2024; 403:1791-1807. [PMID: 38614113 DOI: 10.1016/s0140-6736(23)02705-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 07/31/2023] [Accepted: 11/30/2023] [Indexed: 04/15/2024]
Abstract
B-cell lymphomas occur with an incidence of 20 new cases per 100 000 people per year in high-income countries. They can affect any organ and are characterised by heterogeneous clinical presentations and courses, varying from asymptomatic, to indolent, to very aggressive cases. Since the topic of B-cell non-Hodgkin lymphomas was last reviewed in The Lancet in 2017, a deeper understanding of the biological background of this heterogeneous group of malignancies, the availability of new diagnostic methods, and the development and implementation of new targeted and immunotherapeutic approaches have improved our ability to treat patients. This Seminar provides an overview of the pathobiology, classification, and prognostication of B-cell non-Hodgkin lymphomas and summarises the current knowledge and standard of care regarding biology and clinical management of the most common subtypes of mature B-cell non-Hodgkin lymphomas. It also highlights new findings in deciphering the molecular background of disease development and the implementation of new therapeutic approaches, particularly those targeting the immune system.
Collapse
Affiliation(s)
| | - Gilles Salles
- Lymphoma Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Elias Campo
- Department of Pathology, Hospital Clinic, Institute for Biomedical Research August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | | |
Collapse
|
16
|
Sánchez-Beato M, Méndez M, Guirado M, Pedrosa L, Sequero S, Yanguas-Casás N, de la Cruz-Merino L, Gálvez L, Llanos M, García JF, Provencio M. A genetic profiling guideline to support diagnosis and clinical management of lymphomas. Clin Transl Oncol 2024; 26:1043-1062. [PMID: 37672206 PMCID: PMC11026206 DOI: 10.1007/s12094-023-03307-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/09/2023] [Indexed: 09/07/2023]
Abstract
The new lymphoma classifications (International Consensus Classification of Mature Lymphoid Neoplasms, and 5th World Health Organization Classification of Lymphoid Neoplasms) include genetics as an integral part of lymphoma diagnosis, allowing better lymphoma subclassification, patient risk stratification, and prediction of treatment response. Lymphomas are characterized by very few recurrent and disease-specific mutations, and most entities have a heterogenous genetic landscape with a long tail of recurrently mutated genes. Most of these occur at low frequencies, reflecting the clinical heterogeneity of lymphomas. Multiple studies have identified genetic markers that improve diagnostics and prognostication, and next-generation sequencing is becoming an essential tool in the clinical laboratory. This review provides a "next-generation sequencing" guide for lymphomas. It discusses the genetic alterations of the most frequent mature lymphoma entities with diagnostic, prognostic, and predictive potential and proposes targeted sequencing panels to detect mutations and copy-number alterations for B- and NK/T-cell lymphomas.
Collapse
Affiliation(s)
- Margarita Sánchez-Beato
- Servicio de Oncología Médica, Grupo de Investigación en Linfomas, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain.
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain.
| | - Miriam Méndez
- Servicio de Oncología Médica, Grupo de Investigación en Linfomas, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - María Guirado
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Hospital General Universitario de Elche, Alicante, Spain
| | - Lucía Pedrosa
- Servicio de Oncología Médica, Grupo de Investigación en Linfomas, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Silvia Sequero
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Hospital Universitario San Cecilio, Granada, Spain
| | - Natalia Yanguas-Casás
- Servicio de Oncología Médica, Grupo de Investigación en Linfomas, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
| | - Luis de la Cruz-Merino
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Facultad de Medicina, Hospital Universitario Virgen Macarena, Universidad de Sevilla, Instituto de Biomedicina de Sevilla (IBID)/CSIC, Seville, Spain
| | - Laura Gálvez
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Unidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, Málaga, Spain
| | - Marta Llanos
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Hospital Universitario de Canarias, La Laguna, Sta. Cruz de Tenerife, Spain
| | - Juan Fernando García
- Servicio de Anatomía Patológica, Hospital MD Anderson Cancer Center, Madrid, Spain
| | - Mariano Provencio
- Servicio de Oncología Médica, Grupo de Investigación en Linfomas, Hospital Universitario Puerta de Hierro-Majadahonda, IDIPHISA, Madrid, Spain
- Grupo Oncológico para el Tratamiento y Estudio de los Linfomas-GOTEL, Madrid, Spain
- Servicio de Oncología Médica, Departamento de Medicina, Facultad de Medicina, Hospital Universitario Puerta de Hierro-Majadahonda, Universidad Autónoma de Madrid, IDIPHISA, Madrid, Spain
| |
Collapse
|
17
|
Tumuluru S, Godfrey JK, Cooper A, Yu J, Chen X, MacNabb BW, Venkataraman G, Zha Y, Pelzer B, Song J, Duns G, Sworder BJ, Bolen C, Penuel E, Postovalova E, Kotlov N, Bagaev A, Fowler N, Smith SM, Alizadeh AA, Steidl C, Kline J. Integrative genomic analysis identifies unique immune environments associated with immunotherapy response in diffuse large B cell lymphoma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.17.576100. [PMID: 38328071 PMCID: PMC10849512 DOI: 10.1101/2024.01.17.576100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Most diffuse large B-cell lymphoma (DLBCL) patients treated with bispecific antibodies (BsAb) or chimeric antigen receptor (CAR) T cells fail to achieve durable treatment responses, underscoring the need for a deeper understanding of mechanisms that regulate the immune environment and response to treatment. Here, an integrative, multi-omic approach was employed to characterize DLBCL immune environments, which effectively segregated DLBCLs into four quadrants - termed DLBCL-immune quadrants (IQ) - defined by cell-of-origin and immune-related gene set expression scores. Recurrent genomic alterations were enriched in each IQ, suggesting that lymphoma cell-intrinsic alterations contribute to orchestrating unique DLBCL immune environments. In relapsed/refractory DLBCL patients, DLBCL-IQ assignment correlated significantly with clinical benefit with the CD20 x CD3 BsAb, mosunetuzumab, but not with CD19-directed CAR T cells. DLBCL-IQ provides a new framework to conceptualize the DLBCL immune landscape and uncovers the differential impact of the endogenous immune environment on outcomes to BsAb and CAR T cell treatment.
Collapse
|
18
|
Medeiros LJ, Chadburn A, Natkunam Y, Naresh KN. Fifth Edition of the World Health Classification of Tumors of the Hematopoietic and Lymphoid Tissues: B-cell Neoplasms. Mod Pathol 2024; 37:100441. [PMID: 38309432 DOI: 10.1016/j.modpat.2024.100441] [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: 10/03/2023] [Revised: 01/15/2024] [Accepted: 01/23/2024] [Indexed: 02/05/2024]
Abstract
We review B-cell neoplasms in the 5th edition of the World Health Organization classification of hematolymphoid tumors (WHO-HEM5). The revised classification is based on a multidisciplinary approach including input from pathologists, clinicians, and other experts. The WHO-HEM5 follows a hierarchical structure allowing the use of family (class)-level definitions when defining diagnostic criteria are partially met or a complete investigational workup is not possible. Disease types and subtypes have expanded compared with the WHO revised 4th edition (WHO-HEM4R), mainly because of the expansion in genomic knowledge of these diseases. In this review, we focus on highlighting changes and updates in the classification of B-cell lymphomas, providing a comparison with WHO-HEM4R, and offering guidance on how the new classification can be applied to the diagnosis of B-cell lymphomas in routine practice.
Collapse
Affiliation(s)
- L Jeffrey Medeiros
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Amy Chadburn
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York
| | - Yasodha Natkunam
- Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Kikkeri N Naresh
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle; Section of Pathology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle
| |
Collapse
|
19
|
Attygalle AD, Chan JKC, Coupland SE, Du MQ, Ferry JA, Jong DD, Gratzinger D, Lim MS, Naresh KN, Nicolae A, Ott G, Rosenwald A, Schuh A, Siebert R. The 5th edition of the World Health Organization Classification of mature lymphoid and stromal tumors - an overview and update. Leuk Lymphoma 2024; 65:413-429. [PMID: 38189838 DOI: 10.1080/10428194.2023.2297939] [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: 08/11/2023] [Accepted: 08/15/2023] [Indexed: 01/09/2024]
Abstract
The purpose of this review is to give an overview on the conceptual framework and major developments of the upcoming 5th edition of the World Health Organization (WHO) Classification of Haematolymphoid tumours (WHO-HAEM5) and to highlight the most significant changes made in WHO-HAEM5 compared with the revised 4th edition (WHO-HAEM4R) of lymphoid and stromal neoplasms. The changes from the revised 4th edition include the reorganization of entities by means of a hierarchical system that is realized throughout the 5th edition of the WHO classification of tumors of all organ systems, a modification of nomenclature for some entities, the refinement of diagnostic criteria or subtypes, deletion of certain entities, and introduction of new entities. For the first time, tumor-like lesions, mesenchymal lesions specific to lymph node and spleen, and germline predisposition syndromes associated with the lymphoid neoplasms are included in the classification.
Collapse
Affiliation(s)
- Ayoma D Attygalle
- Department of Histopathology, The Royal Marsden Hospital, London, UK
| | - John K C Chan
- Department of Pathology, Queen Elizabeth Hospital, Kowloon, Hong Kong, SAR China
| | - Sarah E Coupland
- Department of Molecular and Clinical Cancer Medicine, ISMIB, University of Liverpool, Liverpool, UK
- Liverpool Clinical Laboratories, Liverpool University Hospitals Foundation Trust, Liverpool, UK
| | - Ming-Qing Du
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Judith A Ferry
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Daphne de Jong
- The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Dita Gratzinger
- Department of Pathology, Stanford University School of Medicine, Stanford, USA
| | - Megan S Lim
- Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Kikkeri N Naresh
- Fred Hutchinson Cancer Center, University of Washington, Seattle, USA
| | - Alina Nicolae
- Department of Pathology, University Hospital of Strasbourg, Strasbourg, France
| | - German Ott
- Department of Clinical Pathology, Robert-Bosch-Krankenhaus, and Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
| | - Andreas Rosenwald
- Institute of Pathology, Julius-Maximilians-UniversitätWürzburg, and Cancer Center Mainfranken, Würzburg, Germany
| | - Anna Schuh
- Department of Oncology, University of Oxford, Oxford, UK
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| |
Collapse
|
20
|
Fox CP, Chaganti S, McIlroy G, Barrington SF, Burton C, Cwynarski K, Eyre TA, Illidge T, Kalakonda N, Kuhnl A, McKay P, Davies AJ. The management of newly diagnosed large B-cell lymphoma: A British Society for Haematology Guideline. Br J Haematol 2024; 204:1178-1192. [PMID: 38247115 PMCID: PMC7616447 DOI: 10.1111/bjh.19273] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/20/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024]
Affiliation(s)
| | - Sridhar Chaganti
- Centre for Clinical Haematology, University Hospitals Birmingham, Birmingham, UK
| | - Graham McIlroy
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Sally F Barrington
- King's College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Cathy Burton
- Department of Haematology, The Leeds Teaching Hospitals, Leeds, UK
| | - Kate Cwynarski
- Department of Haematology, University College London Hospitals, London, UK
| | - Toby A Eyre
- Oxford Cancer and Haematology Centre, Oxford University Hospitals, Oxford, UK
| | - Timothy Illidge
- Division of Cancer Sciences, Manchester NIHR Biomedical Research Centre, University of Manchester, Manchester, UK
| | - Nagesh Kalakonda
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Andrea Kuhnl
- Department of Haematology, King's College Hospital, London, UK
| | - Pam McKay
- Department of Haematology, Beatson West of Scotland Cancer Centre, Glasgow, UK
| | - Andrew J Davies
- Cancer Sciences Division, Centre for Cancer Immunology, University of Southampton, Southampton, UK
| |
Collapse
|
21
|
Cancila V, Morello G, Bertolazzi G, Chan ASY, Bastianello G, Paysan D, Jaynes PW, Schiavoni G, Mattei F, Piconese S, Revuelta MV, Noto F, De Ninno A, Cammarata I, Pagni F, Venkatachalapathy S, Sangaletti S, Di Napoli A, Vacca D, Lonardi S, Lorenzi L, Ferreri AJM, Belmonte B, Varano G, Colombo MP, Bicciato S, Inghirami G, Cerchietti L, Ponzoni M, Zappasodi R, Facchetti F, Foiani M, Casola S, Jeyasekharan AD, Tripodo C. Germinal Center Dark Zone harbors ATR-dependent determinants of T-cell exclusion that are also identified in aggressive lymphoma. RESEARCH SQUARE 2024:rs.3.rs-4093618. [PMID: 38562878 PMCID: PMC10984086 DOI: 10.21203/rs.3.rs-4093618/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The germinal center (GC) dark zone (DZ) and light zone (LZ) regions spatially separate expansion and diversification from selection of antigen-specific B-cells to ensure antibody affinity maturation and B cell memory. The DZ and LZ differ significantly in their immune composition despite the lack of a physical barrier, yet the determinants of this polarization are poorly understood. This study provides novel insights into signals controlling asymmetric T-cell distribution between DZ and LZ regions. We identify spatially-resolved DNA damage response and chromatin compaction molecular features that underlie DZ T-cell exclusion. The DZ spatial transcriptional signature linked to T-cell immune evasion clustered aggressive Diffuse Large B-cell Lymphomas (DLBCL) for differential T cell infiltration. We reveal the dependence of the DZ transcriptional core signature on the ATR kinase and dissect its role in restraining inflammatory responses contributing to establishing an immune-repulsive imprint in DLBCL. These insights may guide ATR-focused treatment strategies bolstering immunotherapy in tumors marked by DZ transcriptional and chromatin-associated features.
Collapse
Affiliation(s)
- Valeria Cancila
- Tumor Immunology Unit, Department of Health Sciences, University of Palermo, Palermo, Italy
| | - Gaia Morello
- Tumor Immunology Unit, Department of Health Sciences, University of Palermo, Palermo, Italy
| | - Giorgio Bertolazzi
- Tumor Immunology Unit, Department of Health Sciences, University of Palermo, Palermo, Italy
- Department of Economics, Business, and Statistics, University of Palermo, Palermo, Italy
| | - Allison Si-Yu Chan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | | | - Daniel Paysan
- Laboratory for Nanoscale Biology, Paul Scherrer Institute, Villigen, Switzerland
- Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | | | - Giovanna Schiavoni
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Fabrizio Mattei
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Silvia Piconese
- Department of Internal Clinical Sciences, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy
- IRCCS Fondazione Santa Lucia, Unità di Neuroimmunologia, Rome, Italy
- Laboratory affiliated to Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Rome, Italy
| | - Maria V Revuelta
- Division of Hematology and Oncology, Medicine Department, Weill Cornell Medicine and NewYork-Presbyterian Hospital, New York
| | - Francesco Noto
- Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Adele De Ninno
- Institute for Photonics and Nanotechnologies, Italian National Research Council, Rome, Italy
| | - Ilenia Cammarata
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy; Neuroimmunology Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo dei Tintori, University of Milano-Bicocca, Italy
| | | | - Sabina Sangaletti
- Molecular Immunology Unit, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Arianna Di Napoli
- Pathology Unit, Department of Clinical and Molecular Medicine, Sant'Andrea University Hospital, Sapienza University of Rome, Rome, Italy
| | - Davide Vacca
- Tumor Immunology Unit, Department of Health Sciences, University of Palermo, Palermo, Italy
| | - Silvia Lonardi
- Pathology Unit, ASST Spedali Civili di Brescia, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Luisa Lorenzi
- Pathology Unit, ASST Spedali Civili di Brescia, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Andrés J M Ferreri
- Lymphoma Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Beatrice Belmonte
- Tumor Immunology Unit, Department of Health Sciences, University of Palermo, Palermo, Italy
| | - Gabriele Varano
- IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Mario Paolo Colombo
- Molecular Immunology Unit, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Silvio Bicciato
- Department of Molecular Medicine, University of Padova, Padova, Italy
| | - Giorgio Inghirami
- Pathology and Laboratory Medicine Department, Weill Cornell Medicine and New York-Presbyterian Hospital, New York
| | - Leandro Cerchietti
- Division of Hematology and Oncology, Medicine Department, Weill Cornell Medicine and NewYork-Presbyterian Hospital, New York
| | - Maurilio Ponzoni
- Vita-Salute San Raffaele University, Milan, Italy
- Pathology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Fabio Facchetti
- Pathology Unit, ASST Spedali Civili di Brescia, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Marco Foiani
- IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Stefano Casola
- IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Anand D Jeyasekharan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Claudio Tripodo
- Tumor Immunology Unit, Department of Health Sciences, University of Palermo, Palermo, Italy
- IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
| |
Collapse
|
22
|
Liu M, Bertolazzi G, Sridhar S, Lee RX, Jaynes P, Mulder K, Syn N, Hoppe MM, Fan S, Peng Y, Thng J, Chua R, Jayalakshmi, Batumalai Y, De Mel S, Poon L, Chan EHL, Lee J, Hue SSS, Chang ST, Chuang SS, Chandy KG, Ye X, Pan-Hammarström Q, Ginhoux F, Chee YL, Ng SB, Tripodo C, Jeyasekharan AD. Spatially-resolved transcriptomics reveal macrophage heterogeneity and prognostic significance in diffuse large B-cell lymphoma. Nat Commun 2024; 15:2113. [PMID: 38459052 PMCID: PMC10923916 DOI: 10.1038/s41467-024-46220-z] [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: 04/26/2023] [Accepted: 02/19/2024] [Indexed: 03/10/2024] Open
Abstract
Macrophages are abundant immune cells in the microenvironment of diffuse large B-cell lymphoma (DLBCL). Macrophage estimation by immunohistochemistry shows varying prognostic significance across studies in DLBCL, and does not provide a comprehensive analysis of macrophage subtypes. Here, using digital spatial profiling with whole transcriptome analysis of CD68+ cells, we characterize macrophages in distinct spatial niches of reactive lymphoid tissues (RLTs) and DLBCL. We reveal transcriptomic differences between macrophages within RLTs (light zone /dark zone, germinal center/ interfollicular), and between disease states (RLTs/ DLBCL), which we then use to generate six spatially-derived macrophage signatures (MacroSigs). We proceed to interrogate these MacroSigs in macrophage and DLBCL single-cell RNA-sequencing datasets, and in gene-expression data from multiple DLBCL cohorts. We show that specific MacroSigs are associated with cell-of-origin subtypes and overall survival in DLBCL. This study provides a spatially-resolved whole-transcriptome atlas of macrophages in reactive and malignant lymphoid tissues, showing biological and clinical significance.
Collapse
Affiliation(s)
- Min Liu
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing, PR China
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, PR China
| | - Giorgio Bertolazzi
- Department of Economics, Business and Statistics, University of Palermo, Palermo, Italy
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Shruti Sridhar
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Rui Xue Lee
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Patrick Jaynes
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Kevin Mulder
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Gustave Roussy, Villejuif, France
| | - Nicholas Syn
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Michal Marek Hoppe
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Shuangyi Fan
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yanfen Peng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Jocelyn Thng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Reiya Chua
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
| | - Jayalakshmi
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
| | - Yogeshini Batumalai
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
| | - Sanjay De Mel
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Limei Poon
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Esther Hian Li Chan
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Joanne Lee
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Susan Swee-Shan Hue
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Sheng-Tsung Chang
- Department of Pathology, Chi-Mei Medical Center, Tainan City, Taiwan, ROC
| | - Shih-Sung Chuang
- Department of Pathology, Chi-Mei Medical Center, Tainan City, Taiwan, ROC
| | - K George Chandy
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Xiaofei Ye
- Kindstar Global Precision Medicine Institute, Wuhan, PR China
| | - Qiang Pan-Hammarström
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Florent Ginhoux
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Gustave Roussy, Villejuif, France
| | - Yen Lin Chee
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Siok-Bian Ng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Claudio Tripodo
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care "G. D'Alessandro", University of Palermo, Palermo, Italy.
- Histopathology Unit, Institute of Molecular Oncology Foundation (IFOM) ETS - The AIRC Institute of Molecular Oncology, Milan, Italy.
| | - Anand D Jeyasekharan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore.
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| |
Collapse
|
23
|
Iorgulescu JB, Medeiros LJ, Patel KP. Predictive and prognostic molecular biomarkers in lymphomas. Pathology 2024; 56:239-258. [PMID: 38216400 DOI: 10.1016/j.pathol.2023.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 01/14/2024]
Abstract
Recent advances in molecular diagnostics have markedly expanded our understanding of the genetic underpinnings of lymphomas and catalysed a transformation in not just how we classify lymphomas, but also how we treat, target, and monitor affected patients. Reflecting these advances, the World Health Organization Classification, International Consensus Classification, and National Comprehensive Cancer Network guidelines were recently updated to better integrate these molecular insights into clinical practice. We summarise here the molecular biomarkers of lymphomas with an emphasis on biomarkers that have well-supported prognostic and predictive utility, as well as emerging biomarkers that show promise for clinical practice. These biomarkers include: (1) diagnostic entity-defining genetic abnormalities [e.g., B-cell acute lymphoblastic leukaemia (B-ALL) with KMT2A rearrangement]; (2) molecular alterations that guide patients' prognoses (e.g., TP53 loss frequently conferring worse prognosis); (3) mutations that serve as the targets of, and often a source of acquired resistance to, small molecular inhibitors (e.g., ABL1 tyrosine kinase inhibitors for B-ALL BCR::ABL1, hindered by ABL1 kinase domain resistance mutations); (4) the growing incorporation of molecular measurable residual disease (MRD) in the management of lymphoma patients (e.g., molecular complete response and sequencing MRD-negative criteria in multiple myeloma). Altogether, our review spans the spectrum of lymphoma types, from the genetically defined subclasses of precursor B-cell lymphomas to the highly heterogeneous categories of small and large cell mature B-cell lymphomas, Hodgkin lymphomas, plasma cell neoplasms, and T/NK-cell lymphomas, and provides an expansive summary of our current understanding of their molecular pathology.
Collapse
Affiliation(s)
- J Bryan Iorgulescu
- Molecular Diagnostics Laboratory, Department of Hematopathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - L Jeffrey Medeiros
- Molecular Diagnostics Laboratory, Department of Hematopathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Keyur P Patel
- Molecular Diagnostics Laboratory, Department of Hematopathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| |
Collapse
|
24
|
Coupland SE, Du MQ, Ferry JA, de Jong D, Khoury JD, Leoncini L, Naresh KN, Ott G, Siebert R, Xerri L. The fifth edition of the WHO classification of mature B-cell neoplasms: open questions for research. J Pathol 2024; 262:255-270. [PMID: 38180354 DOI: 10.1002/path.6246] [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: 10/04/2023] [Revised: 11/21/2023] [Accepted: 12/01/2023] [Indexed: 01/06/2024]
Abstract
The fifth edition of the World Health Organization Classification of Haematolymphoid Tumours (WHO-HAEM5) is the product of an evidence-based evolution of the revised fourth edition with wide multidisciplinary consultation. Nonetheless, while every classification incorporates scientific advances and aims to improve upon the prior version, medical knowledge remains incomplete and individual neoplasms may not be easily subclassified in a given scheme. Thus, optimal classification requires ongoing study, and there are certain aspects of some entities and subtypes that require further refinements. In this review, we highlight a selection of these challenging areas to prompt more research investigations. These include (1) a 'placeholder term' of splenic B-cell lymphoma/leukaemia with prominent nucleoli (SBLPN) to accommodate many of the splenic lymphomas previously classified as hairy cell leukaemia variant and B-prolymphocytic leukaemia, a clear new start to define their pathobiology; (2) how best to classify BCL2 rearrangement negative follicular lymphoma including those with BCL6 rearrangement, integrating the emerging new knowledge on various germinal centre B-cell subsets; (3) what is the spectrum of non-IG gene partners of MYC translocation in diffuse large B-cell lymphoma/high-grade B-cell lymphoma and how they impact MYC expression and clinical outcome; how best to investigate this in a routine clinical setting; and (4) how best to define high-grade B-cell lymphoma not otherwise specified and high-grade B-cell lymphoma with 11q aberrations to distinguish them from their mimics and characterise their molecular pathogenetic mechanism. Addressing these questions would provide more robust evidence to better define these entities/subtypes, improve their diagnosis and/or prognostic stratification, leading to better patient care. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Collapse
Affiliation(s)
- Sarah E Coupland
- Liverpool Clinical Laboratories, Liverpool University Hospitals Foundation Trust, Liverpool, UK
| | - Ming-Qing Du
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Judith A Ferry
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Daphne de Jong
- The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Joseph D Khoury
- Department of Pathology, Microbiology and Immunology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Lorenzo Leoncini
- Department of Medical Biotechnology, University of Siena, Siena, Italy
| | - Kikkeri N Naresh
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - German Ott
- Department of Clinical Pathology, Robert-Bosch-Krankenhaus, and Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany
| | - Luc Xerri
- Institut Paoli-Calmettes, CRCM and Aix-Marseille University, Marseille, France
| |
Collapse
|
25
|
Ren W, Wan H, Own SA, Berglund M, Wang X, Yang M, Li X, Liu D, Ye X, Sonnevi K, Enblad G, Amini RM, Sander B, Wu K, Zhang H, Wahlin BE, Smedby KE, Pan-Hammarström Q. Genetic and transcriptomic analyses of diffuse large B-cell lymphoma patients with poor outcomes within two years of diagnosis. Leukemia 2024; 38:610-620. [PMID: 38158444 PMCID: PMC10912034 DOI: 10.1038/s41375-023-02120-7] [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: 06/05/2023] [Revised: 12/08/2023] [Accepted: 12/12/2023] [Indexed: 01/03/2024]
Abstract
Despite the improvements in clinical outcomes for DLBCL, a significant proportion of patients still face challenges with refractory/relapsed (R/R) disease after receiving first-line R-CHOP treatment. To further elucidate the underlying mechanism of R/R disease and to develop methods for identifying patients at risk of early disease progression, we integrated clinical, genetic and transcriptomic data derived from 2805 R-CHOP-treated patients from seven independent cohorts. Among these, 887 patients exhibited R/R disease within two years (poor outcome), and 1918 patients remained in remission at two years (good outcome). Our analysis identified four preferentially mutated genes (TP53, MYD88, SPEN, MYC) in the untreated (diagnostic) tumor samples from patients with poor outcomes. Furthermore, transcriptomic analysis revealed a distinct gene expression pattern linked to poor outcomes, affecting pathways involved in cell adhesion/migration, T-cell activation/regulation, PI3K, and NF-κB signaling. Moreover, we developed and validated a 24-gene expression score as an independent prognostic predictor for treatment outcomes. This score also demonstrated efficacy in further stratifying high-risk patients when integrated with existing genetic or cell-of-origin subtypes, including the unclassified cases in these models. Finally, based on these findings, we developed an online analysis tool ( https://lymphprog.serve.scilifelab.se/app/lymphprog ) that can be used for prognostic prediction for DLBCL patients.
Collapse
Affiliation(s)
- Weicheng Ren
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Hui Wan
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Sulaf Abd Own
- Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Division of Pathology, Department of Laboratory Medicine, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Mattias Berglund
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Xianhuo Wang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Mingyu Yang
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- BGI Research, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomic, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen, China
| | - Xiaobo Li
- BGI Research, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomic, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen, China
| | - Dongbing Liu
- BGI Research, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomic, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen, China
| | - Xiaofei Ye
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- Kindstar Global Precision Medicine Institute, Wuhan, China
| | - Kristina Sonnevi
- Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Gunilla Enblad
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Rose-Marie Amini
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Birgitta Sander
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Kui Wu
- BGI Research, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomic, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen, China
| | - Huilai Zhang
- Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | | | - Karin E Smedby
- Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Qiang Pan-Hammarström
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
| |
Collapse
|
26
|
Zhang C, Stelloo E, Barrans S, Cucco F, Jiang D, Tzioni MM, Chen Z, Li Y, Swennenhuis JF, Makker J, Rásó-Barnett L, Liu H, El-Daly H, Soilleux E, Shah N, Nagumantry SK, Kyaw M, Prahladan MP, Tooze R, Westhead DR, Feitsma H, Davies AJ, Burton C, Johnson PWM, Du MQ. Non-IG::MYC in diffuse large B-cell lymphoma confers variable genomic configurations and MYC transactivation potential. Leukemia 2024; 38:621-629. [PMID: 38184753 PMCID: PMC10912016 DOI: 10.1038/s41375-023-02134-1] [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: 09/26/2023] [Accepted: 12/21/2023] [Indexed: 01/08/2024]
Abstract
MYC translocation occurs in 8-14% of diffuse large B-cell lymphoma (DLBCL), and may concur with BCL2 and/or BCL6 translocation, known as double-hit (DH) or triple-hit (TH). DLBCL-MYC/BCL2-DH/TH are largely germinal centre B-cell like subtype, but show variable clinical outcome, with IG::MYC fusion significantly associated with inferior survival. While DLBCL-MYC/BCL6-DH are variable in their cell-of-origin subtypes and clinical outcome. Intriguingly, only 40-50% of DLBCL with MYC translocation show high MYC protein expression (>70%). We studied 186 DLBCLs with MYC translocation including 32 MYC/BCL2/BCL6-TH, 75 MYC/BCL2-DH and 26 MYC/BCL6-DH. FISH revealed a MYC/BCL6 fusion in 59% of DLBCL-MYC/BCL2/BCL6-TH and 27% of DLBCL-MYC/BCL6-DH. Targeted NGS showed a similar mutation profile and LymphGen genetic subtype between DLBCL-MYC/BCL2/BCL6-TH and DLBCL-MYC/BCL2-DH, but variable LymphGen subtypes among DLBCL-MYC/BCL6-DH. MYC protein expression is uniformly high in DLBCL with IG::MYC, but variable in those with non-IG::MYC including MYC/BCL6-fusion. Translocation breakpoint analyses of 8 cases by TLC-based NGS showed no obvious genomic configuration that enables MYC transactivation in 3 of the 4 cases with non-IG::MYC, while a typical promoter substitution or IGH super enhancer juxtaposition in the remaining cases. The findings potentially explain variable MYC expression in DLBCL with MYC translocation, and also bear practical implications in its routine assessment.
Collapse
Affiliation(s)
- Chunye Zhang
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | | | - Sharon Barrans
- Haematological Malignancy Diagnostic Service, St James' University Hospital, Leeds, UK
| | - Francesco Cucco
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
- Institute of Clinical Physiology, CNR, Pisa, Italy
| | - Dan Jiang
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
- East Genomic Laboratory Hub, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Maria-Myrsini Tzioni
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
| | - Zi Chen
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
| | - Yan Li
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
- Department of Haematology, Hebei General Hospital, Shijiazhuang, PR China
| | | | - Jasmine Makker
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
| | - Lívia Rásó-Barnett
- The Haematopathology and Oncology Diagnostic Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Hongxiang Liu
- East Genomic Laboratory Hub, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Hesham El-Daly
- Cellular Pathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
| | - Elizabeth Soilleux
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
| | - Nimish Shah
- Department of Haematology, Norfolk and Norwich University Foundation Hospital, Norwich, UK
| | | | - Maw Kyaw
- Department of Haematology, James Paget University Hospitals NHS Foundation Trust, Great Yarmouth, UK
| | | | - Reuben Tooze
- Haematological Malignancy Diagnostic Service, St James' University Hospital, Leeds, UK
- Division of Haematology and Immunology, Leeds Institute of Medical Research, University of Leeds, Leeds, UK
| | - David R Westhead
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK
| | | | - Andrew J Davies
- Southampton NIHR/Cancer Research UK Experimental Cancer Medicine Centre and Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Catherine Burton
- Haematological Malignancy Diagnostic Service, St James' University Hospital, Leeds, UK
| | - Peter W M Johnson
- Southampton NIHR/Cancer Research UK Experimental Cancer Medicine Centre and Southampton Clinical Trials Unit, University of Southampton, Southampton, UK
| | - Ming-Qing Du
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK.
| |
Collapse
|
27
|
Pagani C, Rusconi C, Dalla Pria A, Ravano E, Schommers P, Bastos-Oreiro M, Verga L, Gini G, Spina M, Arcaini L, Steffanoni S, Dalu D, Crucitti L, Lorenzi L, Balzarini P, Cattaneo C, Bongiovanni L, Rosenwald A, Facchetti F, Bower M, Ferreri AJM, Rossi G, Tucci A, Re A. MYC rearrangements in HIV-associated large B-cell lymphomas: EUROMYC, a European retrospective study. Blood Adv 2024; 8:968-977. [PMID: 38207206 PMCID: PMC10877133 DOI: 10.1182/bloodadvances.2023010704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 12/27/2023] [Accepted: 12/29/2023] [Indexed: 01/13/2024] Open
Abstract
ABSTRACT Large B-cell lymphoma (LBCL) carrying MYC rearrangement, alone or together with BCL2 and/or BCL6 translocations, have shown a poor prognosis when treated with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) in the HIV population. Scanty data are available on the prevalence and prognostic impact of MYC rearrangements in HIV-associated LBCL. We conducted a retrospective study to evaluate the clinical effect of MYC rearrangement in HIV-associated LBCL. We evaluated clinical characteristics, treatment received, and outcome of LBCL in patients with HIV with MYC rearrangement (MYC+) and without MYC rearrangement (MYC-). A total of 155 patients with HIV who had received fluorescence in situ hybridization analysis for MYC were enrolled in 11 European centers: 43 with MYC+ and 112 MYC-. Among patients with MYC, 10 had double-/triple-hit lymphomas, and 33 had isolated MYC rearrangement (single-hit lymphoma). Patients with MYC+ had more frequently advanced stage, >2 extranodal site at presentation, and higher proliferative index. There were no significant differences in overall survival and progression-free survival (PFS) between the 2 groups. However, patients with MYC+ received more frequently intensive chemotherapy (iCT) (44%) than (R)CHOP alone (35%) or infusional treatment (DA-EPOCH-R and R-CDE) (19%). Among patients with MYC+, those who received iCT achieved a better outcome than patients who received nonintensive treatment (complete remission, 84% vs 52%; P = .028; 5-year PFS, 66% vs 36%; P = .021). Our retrospective results suggest that HIV-associated LBCL with MYC+ could be considered for an intensive therapeutic approach whenever possible, whereas (R)CHOP seems to give inferior results in this subset of patients in terms of complete remission and PFS.
Collapse
Affiliation(s)
- Chiara Pagani
- Department of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Chiara Rusconi
- Department of Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessia Dalla Pria
- National Centre for HIV Malignancy, Chelsea and Westminster Hospital, London, United Kingdom
| | - Emanuele Ravano
- Division of Hematology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Philipp Schommers
- Department of Internal Medicine, Medical Faculty and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Mariana Bastos-Oreiro
- Hematology Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Luisa Verga
- Division of Hematology, Azienda Ospedaliera San Gerardo, Monza, Italy
| | - Guido Gini
- Division of Hematology, Azienda Ospedaliera Universitaria Ospedali Riuniti, Ancona, Italy
| | - Michele Spina
- Medical Oncology Division, Centro Riferimento Oncologico, Aviano, Italy
| | - Luca Arcaini
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Division of Hematology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Sara Steffanoni
- Lymphoma Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Davide Dalu
- Department of Oncology, Luigi Sacco Hospital, ASST Fatebenefratelli Sacco, Milan, Italy
| | - Lara Crucitti
- Division of Hematology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Luisa Lorenzi
- Pathology Unit, ASST Spedali Civili di Brescia and Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Piera Balzarini
- Pathology Unit, ASST Spedali Civili di Brescia and Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Chiara Cattaneo
- Department of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Lucia Bongiovanni
- Pathology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Andreas Rosenwald
- Institute of Pathology, University of Würzburg, and Comprehensive Cancer Center Mainfranken, Würzburg, Germany
| | - Fabio Facchetti
- Pathology Unit, ASST Spedali Civili di Brescia and Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Mark Bower
- National Centre for HIV Malignancy, Chelsea and Westminster Hospital, London, United Kingdom
| | - Andrés J. M. Ferreri
- Lymphoma Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Giuseppe Rossi
- Department of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Alessandra Tucci
- Department of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Alessandro Re
- Department of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy
| |
Collapse
|
28
|
Fend F, van den Brand M, Groenen PJ, Quintanilla-Martinez L, Bagg A. Diagnostic and prognostic molecular pathology of lymphoid malignancies. Virchows Arch 2024; 484:195-214. [PMID: 37747559 PMCID: PMC10948535 DOI: 10.1007/s00428-023-03644-0] [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: 08/03/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 09/26/2023]
Abstract
With the explosion in knowledge about the molecular landscape of lymphoid malignancies and the increasing availability of high throughput techniques, molecular diagnostics in hematopathology has moved from isolated marker studies to a more comprehensive approach, integrating results of multiple genes analyzed with a variety of techniques on the DNA and RNA level. Although diagnosis of lymphoma still relies on the careful integration of clinical, morphological, phenotypic, and, if necessary molecular features, and only few entities are defined strictly by genetic features, genetic profiling has contributed profoundly to our current understanding of lymphomas and shaped the two current lymphoma classifications, the International Consensus Classification and the fifth edition of the WHO classification of lymphoid malignancies. In this review, the current state of the art of molecular diagnostics in lymphoproliferations is summarized, including clonality analysis, mutational studies, and gene expression profiling, with a focus on practical applications for diagnosis and prognostication. With consideration for differences in accessibility of high throughput techniques and cost limitations, we tried to distinguish between diagnostically relevant and in part disease-defining molecular features and optional, more extensive genetic profiling, which is usually restricted to clinical studies, patients with relapsed or refractory disease or specific therapeutic decisions. Although molecular diagnostics in lymphomas currently is primarily done for diagnosis and subclassification, prognostic stratification and predictive markers will gain importance in the near future.
Collapse
Affiliation(s)
- Falko Fend
- Institute of Pathology and Neuropathology and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany.
| | - Michiel van den Brand
- Pathology-DNA, Location Rijnstate Hospital, Arnhem, the Netherlands
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Patricia Jta Groenen
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) 'Image Guided and Functionally Instructed Tumor Therapies', Eberhard Karls University Tübingen, Tübingen, Germany
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
29
|
Zaccaria GM, Altini N, Mezzolla G, Vegliante MC, Stranieri M, Pappagallo SA, Ciavarella S, Guarini A, Bevilacqua V. SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 244:107966. [PMID: 38091844 DOI: 10.1016/j.cmpb.2023.107966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 11/24/2023] [Accepted: 12/01/2023] [Indexed: 01/26/2024]
Abstract
BACKGROUND In Diffuse Large B-Cell Lymphoma (DLBCL), several methodologies are emerging to derive novel biomarkers to be incorporated in the risk assessment. We realized a pipeline that relies on autoencoders (AE) and Explainable Artificial Intelligence (XAI) to stratify prognosis and derive a gene-based signature. METHODS AE was exploited to learn an unsupervised representation of the gene expression (GE) from three publicly available datasets, each with its own technology. Multi-layer perceptron (MLP) was used to classify prognosis from latent representation. GE data were preprocessed as normalized, scaled, and standardized. Four different AE architectures (Large, Medium, Small and Extra Small) were compared to find the most suitable for GE data. The joint AE-MLP classified patients on six different outcomes: overall survival at 12, 36, 60 months and progression-free survival (PFS) at 12, 36, 60 months. XAI techniques were used to derive a gene-based signature aimed at refining the Revised International Prognostic Index (R-IPI) risk, which was validated in a fourth independent publicly available dataset. We named our tool SurvIAE: Survival prediction with Interpretable AE. RESULTS From the latent space of AEs, we observed that scaled and standardized data reduced the batch effect. SurvIAE models outperformed R-IPI with Matthews Correlation Coefficient up to 0.42 vs. 0.18 for the validation-set (PFS36) and to 0.30 vs. 0.19 for the test-set (PFS60). We selected the SurvIAE-Small-PFS36 as the best model and, from its gene signature, we stratified patients in three risk groups: R-IPI Poor patients with High levels of GAB1, R-IPI Poor patients with Low levels of GAB1 or R-IPI Good/Very Good patients with Low levels of GPR132, and R-IPI Good/Very Good patients with High levels of GPR132. CONCLUSIONS SurvIAE showed the potential to derive a gene signature with translational purpose in DLBCL. The pipeline was made publicly available and can be reused for other pathologies.
Collapse
Affiliation(s)
- Gian Maria Zaccaria
- Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona, 4, Bari 70126, Italy
| | - Nicola Altini
- Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona, 4, Bari 70126, Italy.
| | - Giuseppe Mezzolla
- Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona, 4, Bari 70126, Italy
| | - Maria Carmela Vegliante
- Hematology and Cell Therapy Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Via O. Flacco, 65, Bari 70124, Italy
| | - Marianna Stranieri
- Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona, 4, Bari 70126, Italy
| | - Susanna Anita Pappagallo
- Hematology and Cell Therapy Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Via O. Flacco, 65, Bari 70124, Italy
| | - Sabino Ciavarella
- Hematology and Cell Therapy Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Via O. Flacco, 65, Bari 70124, Italy
| | - Attilio Guarini
- Hematology and Cell Therapy Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Via O. Flacco, 65, Bari 70124, Italy
| | - Vitoantonio Bevilacqua
- Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Via Edoardo Orabona, 4, Bari 70126, Italy; Apulian Bioengineering srl, Via delle Violette, 14, Modugno 70026, Italy
| |
Collapse
|
30
|
Xue T, Lin JX, He YQ, Li JW, Liu ZB, Jia YJ, Zhou XY, Li XQ, Yu BH. Yin Yang 1 expression predicts a favourable survival in diffuse large B-cell lymphoma. Heliyon 2024; 10:e24376. [PMID: 38312674 PMCID: PMC10835246 DOI: 10.1016/j.heliyon.2024.e24376] [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: 07/31/2023] [Revised: 12/23/2023] [Accepted: 01/08/2024] [Indexed: 02/06/2024] Open
Abstract
Aims Yin Yang 1 (YY1) is a multifunctional transcription factor that plays an important role in tumour development and progression, while its clinical significance in diffuse large B-cell lymphoma (DLBCL) remains largely unexplored. This study aimed to investigate the expression and clinical implications of YY1 in DLBCL. Methods YY1 expression in 198 cases of DLBCL was determined using immunohistochemistry. The correlation between YY1 expression and clinicopathological parameters as well as the overall survival (OS) and progression-free survival (PFS) of patients was analyzed. Results YY1 protein expression was observed in 121 out of 198 (61.1 %) DLBCL cases. YY1 expression was significantly more frequent in cases of the GCB subgroup than in the non-GCB subgroup (P = 0.005). YY1 was positively correlated with the expression of MUM1, BCL6, pAKT and MYC/BCL2 but was negatively associated with the expression of CXCR4. No significant relationships were identified between YY1 and clinical characteristics, including age, sex, stage, localization, and B symptoms. Univariate analysis showed that the OS (P = 0.003) and PFS (P = 0.005) of patients in the YY1-negative group were significantly worse than those in the YY1-positive group. Multivariate analysis indicated that negative YY1 was a risk factor for inferior OS (P < 0.001) and PFS (P = 0.017) independent of the international prognostic index (IPI) score, treatment and Ann Arbor stage. Furthermore, YY1 is more powerful for stratifying DLBCL patients into different risk groups when combined with MYC/BCL2 double-expression (DE) status. Conclusions YY1 was frequently expressed in DLBCL, especially in those of GCB phenotype and with MYC/BCL2-DE. As an independent prognostic factor, YY1 expression could predict a favourable outcome in DLBCL. In addition, a complex regulatory mechanism might be involved in the interactions between YY1 and MYC, pAKT as well as CXCR4 in DLBCL, which warrants further investigation.
Collapse
Affiliation(s)
- Tian Xue
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jia-Xin Lin
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Qi He
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ji-Wei Li
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ze-Bing Liu
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-Jun Jia
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao-Yan Zhou
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao-Qiu Li
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bao-Hua Yu
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| |
Collapse
|
31
|
Rodriguez-Pinilla SM, Dojcinov S, Dotlic S, Gibson SE, Hartmann S, Klimkowska M, Sabattini E, Tousseyn TA, de Jong D, Hsi ED. Aggressive B-cell non-Hodgkin lymphomas: a report of the lymphoma workshop of the 20th meeting of the European Association for Haematopathology. Virchows Arch 2024; 484:15-29. [PMID: 37530792 PMCID: PMC10791773 DOI: 10.1007/s00428-023-03579-6] [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: 02/14/2023] [Revised: 05/22/2023] [Accepted: 06/07/2023] [Indexed: 08/03/2023]
Abstract
Aggressive B-cell non-Hodgkin lymphomas are a heterogeneous group of diseases and our concepts are evolving as we learn more about their clinical, pathologic, molecular genetic features. Session IV of the 2020 EAHP Workshop covered aggressive, predominantly high-grade B-cell lymphomas, many that were difficult to classify. In this manuscript, we summarize the features of the submitted cases and highlight differential diagnostic difficulties. We specifically review issues related to high-grade B-cell lymphomas (HGBCLs) with MYC and BCL2 and/or BCL6 rearrangements including TdT expression in these cases, HGBCL, not otherwise specified, large B-cell lymphomas with IRF4 rearrangement, high-grade/large B-cell lymphomas with 11q aberration, Burkitt lymphoma, and pleomorphic mantle cell lymphoma. Since the workshop, the 5th edition of the WHO Classification for Haematolymphoid Tumours (WHO-HAEM5) and International Consensus Classification (ICC) 2022 were published. We endeavor to use the updated terminology.
Collapse
Affiliation(s)
| | - Stefan Dojcinov
- Department of Pathology, Morriston Hospital, Swansea Bay University Health Board, Swansea, UK
| | - Snjezana Dotlic
- Department of Pathology and Cytology, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Sarah E Gibson
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, AZ, USA
| | - Sylvia Hartmann
- Dr. Senckenberg Institute of Pathology, Goethe University Frankfurt Am Main, Frankfurt Am Main, Germany
| | - Monika Klimkowska
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Elena Sabattini
- Haematopathology Unit, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Thomas A Tousseyn
- Department of Imaging and Pathology, Translational Cell and Tissue Research Lab, KU Leuven, Leuven, Belgium
| | - Daphne de Jong
- Department of Pathology, Amsterdam UMC, Location VUMC, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands.
| | - Eric D Hsi
- Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| |
Collapse
|
32
|
Urata T, Naoi Y, Jiang A, Boyle M, Sunami K, Imai T, Nawa Y, Hiramatsu Y, Yamamoto K, Fujii S, Yoshida I, Yano T, Chijimatsu R, Murakami H, Ikeuchi K, Kobayashi H, Tani K, Ujiie H, Inoue H, Tomida S, Yamamoto A, Kondo T, Fujiwara H, Asada N, Nishimori H, Fujii K, Fujii N, Matsuoka KI, Sawada K, Momose S, Tamaru JI, Nishikori A, Sato Y, Yoshino T, Maeda Y, Scott DW, Ennishi D. Distribution and clinical impact of molecular subtypes with dark zone signature of DLBCL in a Japanese real-world study. Blood Adv 2023; 7:7459-7470. [PMID: 37552496 PMCID: PMC10758740 DOI: 10.1182/bloodadvances.2023010402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/22/2023] [Accepted: 07/24/2023] [Indexed: 08/09/2023] Open
Abstract
The distribution and clinical impact of cell-of-origin (COO) subtypes of diffuse large B-cell lymphoma (DLBCL) outside Western countries remain unknown. Recent literature also suggests that there is an additional COO subtype associated with the germinal center dark zone (DZ) that warrants wider validation to generalize clinical relevance. Here, we assembled a cohort of Japanese patients with untreated DLBCL and determined the refined COO subtypes, which include the DZ signature (DZsig), using the NanoString DLBCL90 assay. To compare the distribution and clinical characteristics of the molecular subtypes, we used a data set from the cohort of British Columbia Cancer (BCC) (n = 804). Through the 1050 patient samples on which DLBCL90 assay was successfully performed in our cohort, 35%, 45%, and 6% of patients were identified to have germinal center B-cell-like (GCB) DLBCL, activated B-cell-like (ABC) DLBCL, and DZsig-positive (DZsigpos) DLBCL, respectively, with the highest prevalence of ABC-DLBCL, differing significantly from the BCC result (P < .001). GCB-DLBCL, ABC-DLBCL, and DZsigpos-DLBCL were associated with 2-year overall survival rates of 88%, 75%, and 66%, respectively (P < .0001), with patients with DZsigpos-DLBCL having the poorest prognosis. In contrast, GCB-DLBCL without DZsig showed excellent outcomes after rituximab-containing immunochemotherapy. DZsigpos-DLBCL was associated with the significant enrichment of tumors with CD10 expression, concurrent MYC/BCL2 expression, and depletion of microenvironmental components (all, P < .05). These results provide evidence of the distinct distribution of clinically relevant molecular subtypes in Japanese DLBCL and that refined COO, as measured by the DLBCL90 assay, is a robust prognostic biomarker that is consistent across geographical areas.
Collapse
Affiliation(s)
- Tomohiro Urata
- Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
- Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan
| | - Yusuke Naoi
- Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
- Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan
| | - Aixiang Jiang
- British Columbia Cancer, Centre for Lymphoid Cancer, Vancouver, BC, Canada
| | - Merrill Boyle
- British Columbia Cancer, Centre for Lymphoid Cancer, Vancouver, BC, Canada
| | - Kazutaka Sunami
- Department of Hematology, NHO Okayama Medical Center, Okayama, Japan
| | - Toshi Imai
- Department of Hematology and Blood Transfusion, Kochi Health Sciences Center, Kochi, Japan
| | - Yuichiro Nawa
- Division of Hematology, Ehime Prefectural Central Hospital, Matsuyama, Japan
| | - Yasushi Hiramatsu
- Department of Hematology and Oncology, Japanese Red Cross Society Himeji Hospital, Hyogo, Japan
| | - Kazuhiko Yamamoto
- Department of Hematology and Oncology, Okayama City Hospital, Okayama, Japan
| | - Soichiro Fujii
- Department of Hematology, Japanese Red Cross Okayama Hospital, Okayama, Japan
| | - Isao Yoshida
- Department of Hematologic Oncology, NHO Shikoku Cancer Center, Matsuyama, Japan
| | - Tomofumi Yano
- Department of Internal Medicine, Okayama Rosai Hospital, Okayama, Japan
| | - Ryota Chijimatsu
- Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan
| | - Hiroyuki Murakami
- Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
- Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan
| | - Kazuhiro Ikeuchi
- Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
- Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan
| | - Hiroki Kobayashi
- Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
- Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan
| | - Katsuma Tani
- Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
- Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan
| | - Hideki Ujiie
- Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan
| | - Hirofumi Inoue
- Clinical Genomic Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Science, Okayama, Japan
| | - Shuta Tomida
- Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan
| | - Akira Yamamoto
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - Takumi Kondo
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - Hideaki Fujiwara
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - Noboru Asada
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - Hisakazu Nishimori
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - Keiko Fujii
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - Nobuharu Fujii
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - Ken-ichi Matsuoka
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - Keisuke Sawada
- Department of Pathology, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Shuji Momose
- Department of Pathology, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Jun-ichi Tamaru
- Department of Pathology, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Asami Nishikori
- Department of Molecular Hematopathology, Okayama University Graduate School of Health Sciences, Okayama, Japan
| | - Yasuharu Sato
- Department of Molecular Hematopathology, Okayama University Graduate School of Health Sciences, Okayama, Japan
| | | | - Yoshinobu Maeda
- Department of Hematology, Oncology and Respiratory Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - David W. Scott
- British Columbia Cancer, Centre for Lymphoid Cancer, Vancouver, BC, Canada
| | - Daisuke Ennishi
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
- Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan
| |
Collapse
|
33
|
Zhang C, Lin Q, Li C, Qiu Y, Chen J, Zhu X. Comprehensive analysis of the prognostic implication and immune infiltration of CISD2 in diffuse large B-cell lymphoma. Front Immunol 2023; 14:1277695. [PMID: 38155967 PMCID: PMC10754510 DOI: 10.3389/fimmu.2023.1277695] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 11/15/2023] [Indexed: 12/30/2023] Open
Abstract
Background Diffuse large B-cell lymphoma (DLBCL) is the most common B-cell lymphoma in adults. CDGSH iron sulfur domain 2 (CISD2) is an iron-sulfur protein and plays a critical role of cell proliferation. The aberrant expression of CISD2 is associated with the progression of multiple cancers. However, its role in DLBCL remains unclear. Methods The differential expression of CISD2 was identified via public databases, and quantitative real-time PCR (qRT-PCR) and western blot were used to identifed the expression of CISD2. We estimated the impact of CISD2 on clinical prognosis using the Kaplan-Meier plotter. Meanwhile, the drug sensitivity of CISD2 was assessed using CellMiner database. The 100 CISD2-related genes from STRING obtained and analyzed using the LASSO Cox regression. A CISD2 related signature for risk model (CISD2Risk) was established. The PPI network of CISD2Risk was performed, and functional enrichment was conducted through the DAVID database. The impacts of CISD2Risk on clinical features were analyzed. ESTIMATE, CIBERSORT, and MCP-counter algorithm were used to identify CISD2Risk associated with immune infiltration. Subsequently, Univariate and multivariate Cox regression analysis were applied, and a prognostic nomogram, accompanied by a calibration curve, was constructed to predict 1-, 3-, and 5-years survival probabilities. Results CISD2 was upregulated in DLBCL patients comparing with normal controls via public datasets, similarly, CISD2 was highly expressed in DLBCL cell lines. Overexpression of CISD2 was associated with poor prognosis in DLBCL patients based on the GSE31312, the GSE32918, and GSE93984 datasets (P<0.05). Nine drugs was considered as a potential therapeutic agents for CISD2. By using the LASSO cox regression, twenty seven genes were identified to construct CISD2Risk, and biological functions of these genes might be involved in apoptosis and P53 signaling pathway. The high CISD2Risk value had a worse prognosis and therapeutic effect (P<0.05). The higher stromal score, immune score, and ESTIMATE score were associated with lowe CISD2Risk value, CISD2Risk was negatively correlated with several immune infiltrating cells (macrophages M0 and M1, CD8 T cells, CD4 naïve T cells, NK cell, etc) that might be correlated with better prognosis. Additionally, The high CISD2Risk was identified as an independent prognostic factor for DLBCL patients using both univariate and multivariate Cox regression. The nomogram produced accurate predictions and the calibration curves were in good agreement. Conclusion Our study demonstrates that high expression of CISD2 in DLBCL patients is associated with poor prognosis. We have successfully constructed and validated a good prognostic prediction and efficacy monitoring for CISD2Risk that included 27 genes. Meanwhile, CISD2Risk may be a promising evaluator for immune infiltration and serve as a reference for clinical decision-making in DLBCL patients.
Collapse
Affiliation(s)
- ChaoFeng Zhang
- Department of Haematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
- Department of Hematology and Rheumatology, The Affiliated Hospital of Putian University, Putian, China
- The School of Basic Medicine, Putian University, Putian, China
| | - Qi Lin
- Department of Pharmacy, The Affiliated Hospital of Putian University, Putian, China
| | - ChunTuan Li
- Department of Haematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
| | - Yang Qiu
- The School of Basic Medicine, Putian University, Putian, China
| | - JingYu Chen
- The School of Basic Medicine, Putian University, Putian, China
| | - XiongPeng Zhu
- Department of Haematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
| |
Collapse
|
34
|
Campo E. The 2022 classifications of lymphoid neoplasms : Keynote. PATHOLOGIE (HEIDELBERG, GERMANY) 2023; 44:121-127. [PMID: 37957421 DOI: 10.1007/s00292-023-01247-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/06/2023] [Indexed: 11/15/2023]
Abstract
Classification of hematological neoplasms in the past 25 years has been generated through international efforts to achieve broad consensus among professionals. In recent years, the understanding of lymphoid neoplasms has advanced notably, particularly with the impact of genomic studies. Two classifications of these neoplasms were produced in 2022. The International Consensus Classification (ICC) was generated following the same successful process used for the third, fourth, and updated fourth editions of the World Health Organization (WHO) Classification of Hematologic Neoplasms, coordinated by a steering committee approved by the Executive Committees of the European Association for Haematopathology and the Society of Hematopathology. The topics were prepared by different working groups and subsequently discussed in the clinical advisory committee (CAC) meeting with the participation of a large group of pathologists, clinicians, and scientists who all approved the classification after reaching consensus on all topics. Simultaneously, the International Agency for Cancer Research (IARC) of the WHO has produced the fifth edition of the classification of these neoplasms with a group of professionals appointed by the agency who discussed the proposed classification in different meetings. The definition and criteria for diagnosis of many entities have been refined in both proposals. Terminology for some diseases has been adapted to the current knowledge of their biology. Major findings from recent genomic studies have impacted the conceptual framework and diagnostic criteria for many entities. Although most categories are similar in both classifications, there are also conceptual differences and differences in the diagnostic criteria for some diseases.
Collapse
Affiliation(s)
- Elias Campo
- Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain.
- Laboratory of Pathology, Clinic Barcelona Hospital, Calle Villarroel 170, 08015, Barcelona, Spain.
| |
Collapse
|
35
|
Zayac AS, Landsburg DJ, Hughes ME, Bock AM, Nowakowski GS, Ayers EC, Girton M, Hu M, Beckman AK, Li S, Medeiros LJ, Chang JE, Stepanovic A, Kurt H, Sandoval-Sus J, Ansari-Lari MA, Kothari SK, Kress A, Xu ML, Torka P, Sundaram S, Smith SD, Naresh KN, Karimi YH, Epperla N, Bond DA, Farooq U, Saad M, Evens AM, Pandya K, Naik SG, Kamdar M, Haverkos B, Karmali R, Oh TS, Vose JM, Nutsch H, Rubinstein PG, Chaudhry A, Olszewski AJ. High-grade B-cell lymphoma, not otherwise specified: a multi-institutional retrospective study. Blood Adv 2023; 7:6381-6394. [PMID: 37171397 PMCID: PMC10598493 DOI: 10.1182/bloodadvances.2023009731] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/13/2023] Open
Abstract
In this multi-institutional retrospective study, we examined the characteristics and outcomes of 160 patients with high-grade B-cell lymphoma, not otherwise specified (HGBL-NOS)-a rare category defined by high-grade morphologic features and lack of MYC rearrangements with BCL2 and/or BCL6 rearrangements ("double hit"). Our results show that HGBL-NOS tumors are heterogeneous: 83% of patients had a germinal center B-cell immunophenotype, 37% a dual-expressor immunophenotype (MYC and BCL2 expression), 28% MYC rearrangement, 13% BCL2 rearrangement, and 11% BCL6 rearrangement. Most patients presented with stage IV disease, a high serum lactate dehydrogenase, and other high-risk clinical factors. Most frequent first-line regimens included dose-adjusted cyclophosphamide, doxorubicin, vincristine, and etoposide, with rituximab and prednisone (DA-EPOCH-R; 43%); rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP; 33%); or other intensive chemotherapy programs. We found no significant differences in the rates of complete response (CR), progression-free survival (PFS), or overall survival (OS) between these chemotherapy regimens. CR was attained by 69% of patients. PFS at 2 years was 55.2% and OS was 68.1%. In a multivariable model, the main prognostic factors for PFS and OS were poor performance status, lactate dehydrogenase >3 × upper limit of normal, and a dual-expressor immunophenotype. Age >60 years or presence of MYC rearrangement were not prognostic, but patients with TP53 alterations had a dismal PFS. Presence of MYC rearrangement was not predictive of better PFS in patients treated with DA-EPOCH-R vs R-CHOP. Improvements in the diagnostic criteria and therapeutic approaches beyond dose-intense chemotherapy are needed to overcome the unfavorable prognosis of patients with HGBL-NOS.
Collapse
Affiliation(s)
- Adam S. Zayac
- Division of Hematology/Oncology, The Warren Alpert Medical School Medical School of Brown University, Providence, RI
| | | | | | | | | | - Emily C. Ayers
- Division of Hematology/Oncology, University of Virginia, Charlottesville, VA
| | - Mark Girton
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA
| | - Marie Hu
- Division of Hematology, Oncology, and Transplantation, Department of Medicine, University of Minnesota, Minneapolis, MN
| | - Amy K. Beckman
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Shaoying Li
- Division of Pathology and Laboratory Medicine, Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - L. Jeffrey Medeiros
- Division of Pathology and Laboratory Medicine, Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Julie E. Chang
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Adam Stepanovic
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Habibe Kurt
- Department of Pathology and Laboratory Medicine, The Warren Alpert Medical School of Brown University, Providence, RI
| | - Jose Sandoval-Sus
- Department of Malignant Hematology and Cellular Therapy, Moffitt Cancer Center at Memorial Healthcare System, Pembroke Pines, FL
| | | | - Shalin K. Kothari
- Division of Hematology, Yale University School of Medicine, New Haven, CT
| | - Anna Kress
- Division of Hematology, Yale University School of Medicine, New Haven, CT
| | - Mina L. Xu
- Department of Pathology and Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT
| | - Pallawi Torka
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Suchitra Sundaram
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Stephen D. Smith
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Division of Medical Oncology, University of Washington, Seattle, WA
| | | | - Yasmin H. Karimi
- Division of Hematology-Oncology, University of Michigan Health, Ann Arbor, MI
| | | | - David A. Bond
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Umar Farooq
- Division of Hematology, Oncology, and Blood & Marrow Transplantation, University of Iowa, Iowa City, IA
| | - Mahak Saad
- Division of Hematology, Oncology, and Blood & Marrow Transplantation, University of Iowa, Iowa City, IA
| | - Andrew M. Evens
- Department of Medicine, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
| | - Karan Pandya
- Department of Medicine, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
| | - Seema G. Naik
- Penn State Cancer Institute, Penn State Hershey Medical Center, Hershey, PA
| | - Manali Kamdar
- Division of Hematology, Hematologic Malignancies and Stem Cell Transplantation, University of Colorado, Denver, CO
| | - Bradley Haverkos
- Division of Hematology, Hematologic Malignancies and Stem Cell Transplantation, University of Colorado, Denver, CO
| | - Reem Karmali
- Division of Hematology and Oncology, Northwestern University, Chicago, IL
| | - Timothy S. Oh
- Division of Hematology and Oncology, Northwestern University, Chicago, IL
| | - Julie M. Vose
- Department of Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Heather Nutsch
- Department of Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Paul G. Rubinstein
- Department of Medicine, Section of Hematology-Oncology, University of Illinois, Chicago, IL
| | - Amina Chaudhry
- Department of Medicine, Section of Hematology-Oncology, University of Illinois, Chicago, IL
| | - Adam J. Olszewski
- Division of Hematology/Oncology, The Warren Alpert Medical School Medical School of Brown University, Providence, RI
| |
Collapse
|
36
|
El‐Mallawany NK, Giulino‐Roth L, Burke JM, Hermiston M, Allen CE. Mature B-cell lymphomas in adolescents and young adults. EJHAEM 2023; 4:912-920. [PMID: 38024628 PMCID: PMC10660408 DOI: 10.1002/jha2.783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 12/01/2023]
Abstract
Pediatric non-Hodgkin lymphoma includes over 30 histologies (many with subtypes), with approximately 800 cases per year in the US, compared to >60,000 cases of adult NHL annually. Improvements in survival in pediatric and adolescent mature B cell NHL over the past 5 decades align with the overall success of the cooperative trial model with dramatic improvements in outcomes through dose escalation of chemotherapy and, more recently, targeted therapy with rituximab. Pediatric dose-intense strategies carry risks of long-term consequences, but treatment failure is nearly universally fatal. By comparison, adult mature B cell lymphoma is typically less aggressive and treated with less intense chemotherapy. Optimizing therapy for adolescents and young adults remains a major challenge that requires creative solutions, including engineering study groups to combine biologically comparable adult and pediatric populations and developing effective salvage strategies that will ultimately be required for investigations of front-line dose reduction. In this review, we discuss challenges and opportunities for improving outcomes for adolescents and young adults with high-grade mature B cell lymphomas, diffuse large B cell lymphoma, and primary mediastinal B cell lymphoma.
Collapse
Affiliation(s)
- Nader Kim El‐Mallawany
- Department of Pediatrics, Baylor College of Medicine, Texas Children's HospitalTexas Children's Cancer CenterHoustonTexasUSA
| | - Lisa Giulino‐Roth
- Department of PediatricsWeill Cornell Medical CollegeNew YorkNew YorkUSA
| | - John M. Burke
- Department of HematologyRocky Mountain Cancer CentersAuroraColoradoUSA
| | - Michelle Hermiston
- Department of PediatricsUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Carl E. Allen
- Department of Pediatrics, Baylor College of Medicine, Texas Children's HospitalTexas Children's Cancer CenterHoustonTexasUSA
| |
Collapse
|
37
|
Hilton LK, Scott DW, Morin RD. Biological heterogeneity in diffuse large B-cell lymphoma. Semin Hematol 2023; 60:267-276. [PMID: 38151380 DOI: 10.1053/j.seminhematol.2023.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/19/2023] [Accepted: 11/28/2023] [Indexed: 12/29/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is heterogeneous both in clinical outcomes and the underlying disease biology. Over the last 2 decades, several different approaches for dissecting biological heterogeneity have emerged. Gene expression profiling (GEP) stratifies DLBCL into 3 broad groups (ABC, GCB, and DZsig/MHG), each with parallels to different normal mature B cell developmental states and prognostic implications. More recently, several different genomic approaches have been developed to categorize DLBCL based on the co-occurrence of tumor somatic mutations, identifying more granular biologically unified subgroups that complement GEP-based approaches. We review the molecular approaches and clinical evidence supporting the stratification of DLBCL patients based on tumor biology. By offering a platform for subtype-guided therapy, these divisions remain a promising avenue for improving patient outcomes, especially in subgroups with inferior outcomes with current standard-of-care therapy.
Collapse
Affiliation(s)
- Laura K Hilton
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada.; Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.
| | - David W Scott
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada.; Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Ryan D Morin
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada.; Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada; Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Centre, Vancouver, BC, Canada
| |
Collapse
|
38
|
Davies JR, Hilton LK, Jiang A, Barrans S, Burton C, Johnson PWM, Davies AJ, Du MQ, Tooze R, Cucco F, Care MA, Morin RD, Steidl C, Sha C, Westhead DR, Scott DW. Comparison of MHG and DZsig reveals shared biology and a core overlap group with inferior prognosis in DLBCL. Blood Adv 2023; 7:6156-6162. [PMID: 37595057 PMCID: PMC10582343 DOI: 10.1182/bloodadvances.2023010673] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 07/13/2023] [Accepted: 07/30/2023] [Indexed: 08/20/2023] Open
Affiliation(s)
- John R. Davies
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Laura K. Hilton
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
| | - Aixiang Jiang
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
| | - Sharon Barrans
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals, Leeds, United Kingdom
| | - Catherine Burton
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals, Leeds, United Kingdom
| | - Peter W. M. Johnson
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Andrew J. Davies
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Ming-Qing Du
- Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Reuben Tooze
- Section of Experimental Haematology, University of Leeds, Leeds, United Kingdom
| | - Francesco Cucco
- Department of Pathology, University of Cambridge, Cambridge, United Kingdom
- Institute of Clinical Physiology (IFC), Consiglio Nazionale delle Ricerche, Pisa, Italy
| | - Matthew A. Care
- Section of Experimental Haematology, University of Leeds, Leeds, United Kingdom
| | - Ryan D. Morin
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Centre, Vancouver, BC, Canada
| | - Christian Steidl
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Chulin Sha
- Institute of Basic Medicine and Cancer, Chinese Academy of Science, Hangzhou, China
| | - David R. Westhead
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - David W. Scott
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
- Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| |
Collapse
|
39
|
Yip SM, Morash C, Kolinsky MP, Kapoor A, Ong M, Selvarajah S, Nuk J, Compton K, Pouliot F, Lavallée LT, Khalaf DJ, Hamilton RJ, Gotto GT, Rendon RA, Antebi E, Hotte SJ, Malone S, Chi KN, Drachenberg DE, Saad F, Chan J, Ferrario C, Ko J, Shayegan B, Parimi S, So AI, Feifer A, Jansz K, Finch D, Chin JL, Osborne B, Ho KF, Galamo CD, Zardan A, Niazi T. Genetic testing practices among specialist physicians who treat prostate cancer A Canadian, cross-sectional survey. Can Urol Assoc J 2023; 17:326-336. [PMID: 37494316 PMCID: PMC10581730 DOI: 10.5489/cuaj.8403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
INTRODUCTION In patients with prostate cancer (PCa), the identification of an alteration in genes associated with homologous recombination repair (HRR) has implications for prognostication, optimization of therapy, and familial risk mitigation. The aim of this study was to assess the genomic testing landscape of PCa in Canada and to recommend an approach to offering germline and tumor testing for HRR-associated genes. METHODS The Canadian Genitourinary Research Consortium (GURC) administered a cross-sectional survey to a largely academic, multidisciplinary group of investigators across 22 GURC sites between January and June 2022. RESULTS Thirty-eight investigators from all 22 sites responded to the survey. Germline genetic testing was initiated by 34%, while 45% required a referral to a genetic specialist. Most investigators (82%) reported that both germline and tumor testing were needed, with 92% currently offering germline and 72% offering tissue testing to patients with advanced PCa. The most cited reasons for not offering testing were an access gap (50%), uncertainties around who to test and which genes to test, (33%) and interpreting results (17%). A majority reported that patients with advanced PCa (74-80%) should be tested, with few investigators testing patients with localized disease except when there is a family history of PCa (45-55%). CONCLUSIONS Canadian physicians with academic subspecialist backgrounds in genitourinary malignancies recognize the benefits of both germline and somatic testing in PCa; however, there are challenges in accessing testing across practices and specialties. An algorithm to reduce uncertainty for providers when ordering genetic testing for patients with PCa is proposed.
Collapse
Affiliation(s)
- Steven M Yip
- Tom Baker Cancer Centre, University of Calgary, Calgary, AB, Canada
| | | | | | - Anil Kapoor
- St Joseph's Healthcare, McMaster University, Hamilton, ON, Canada
| | - Michael Ong
- Cross Cancer Institute, University of Alberta, Edmonton, AB, Canada
| | - Shamini Selvarajah
- Department of Clinical Laboratory Genetics, Laboratory Medicine Program, University Health Network (UHN), Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Jennifer Nuk
- Hereditary Cancer Program, BC Cancer, Vancouver, BC, Canada
| | - Katie Compton
- Hereditary Cancer Program, BC Cancer, Vancouver, BC, Canada
| | - Frederic Pouliot
- Centre hospitalier universitaire de Québec, Université Laval, Quebec City, QC, Canada
| | - Luke T Lavallée
- Division of Urology, Department of Surgery, University of Ottawa and Ottawa Hospital Research Institute Epidemiology Program, Ottawa, ON, Canada
| | - Daniel J Khalaf
- Department of Medicine, Medical Oncology Division, BC Cancer, Vancouver Centre, University of British Columbia, Vancouver, BC, Canada
| | - Robert J Hamilton
- Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Geoffrey T Gotto
- Southern Alberta Institute of Urology, University of Calgary, Calgary, AB, Canada
| | - Ricardo A Rendon
- Queen Elizabeth II Health Sciences Centre, Dalhousie University, Halifax, NS, Canada
| | - Elie Antebi
- Department of Urology, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Shawn Malone
- The Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada
| | - Kim N Chi
- BC Cancer Agency, University of British Columbia, Vancouver, BC, Canada
| | - Darrel E Drachenberg
- Section of Urology, Department of Surgery, University of Manitoba, Winnipeg, MB, Canada
| | - Fred Saad
- Centre Hospitalier de l'Université de Montréal, University of Montreal, Montreal, QC, Canada
| | - Jonathan Chan
- Scarborough Health Network, University of Toronto, ON, Canada
| | | | - Jenny Ko
- Department of Medical Oncology, BC Cancer - Abbotsford, Abbotsford, BC, Canada
| | - Bobby Shayegan
- St Joseph's Healthcare, McMaster University, Hamilton, ON, Canada
| | - Sunil Parimi
- Department of Medical Oncology, BC Cancer-Victoria, BC, Canada
| | - Alan I So
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Andrew Feifer
- Division of Urology, Department of Surgery, University of Toronto, Toronto, ON Canada
- Institute for Better Health, Trillium Health Partners, Mississauga, ON Canada
| | - Kenneth Jansz
- Joseph Brant Hospital, McMaster University, Burlington, ON, Canada
| | - Daygen Finch
- Department of Medical Oncology, BC Cancer Agency - Centre for the Southern Interior, Kelowna, BC, Canada
| | - Joseph L Chin
- Department of Surgery (Urology), University of Western Ontario, London Health Sciences Center, London, ON, Canada
| | | | | | | | | | - Tamim Niazi
- Jewish General Hospital, McGill University, Montreal, QC, Canada
| |
Collapse
|
40
|
Chen X, Hu S, Han Y, Cai Y, Lu T, Hu X, Chu Y, Zhou X, Wang X. Ferroptosis-related STEAP3 acts as predictor and regulator in diffuse large B cell lymphoma through immune infiltration. Clin Exp Med 2023; 23:2601-2617. [PMID: 36682001 DOI: 10.1007/s10238-023-00996-4] [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: 08/11/2022] [Accepted: 01/10/2023] [Indexed: 01/23/2023]
Abstract
Diffuse large B cell lymphoma (DLBCL) is a usual-seen hematological malignant tumor possessing molecular and genetic heterogeneity. Ferroptosis induction has been increasingly acknowledged to be an advantageous therapeutic method in tumor treatment by triggering cell death of tumor cells. However, studies on the function of ferroptosis in DLBCL remain scarce, especially the interaction with the tumor immune microenvironment (TIME). The clinical and biological functions of ferroptosis-related genes in DLBCL were still warranted to be explored. A ferroptosis-related risk model was constructed, followed by functional enrichment analyses and evaluation of immune profile. Quantitative real-time PCR, western blotting, and immunohistochemistry were conducted to examine the RNA and protein levels. Dysregulated expression of the major ferroptosis-related genes was found in DLBCL. A prognostic risk model based on 10 ferroptosis-related genes was constructed. The risk score served as an independent prognostic indicator for DLBCL patients in univariate and multivariate Cox regression analysis. Patients with low-risk scores presented a more favorable prognosis. Functional enrichment analysis revealed that immune-related pathways were significantly enriched, and the high-risk group exhibited less immunocyte infiltration, lower immunoscore, and downregulated PD-L1 expression relative to the low-risk group. Two molecular subtypes were determined through consensus clustering of the expression of ferroptosis-related genes. Cluster 1 was relevant to favorable prognosis, higher immunoscore, and elevated PD-L1 expression. More importantly, STEAP3 was screened as a reliable biomarker for DLBCL, and its enhanced expression levels of mRNA and protein were verified in public databases and clinical specimens. Our study demonstrated the crucial role of ferroptosis-related genes including STEAP3 in the TIME of DLBCL and identified promising novel molecular targets for DLBCL treatment.
Collapse
Affiliation(s)
- Xiaomin Chen
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Shunfeng Hu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Yang Han
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Yiqing Cai
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Tiange Lu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Xinting Hu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Yurou Chu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Xiangxiang Zhou
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China.
- Shandong Provincial Engineering Research Center of Lymphoma, Jinan, 250021, Shandong, China.
- Branch of National Clinical Research Center for Hematologic Diseases, Jinan, 250021, Shandong, China.
- National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 251006, China.
| | - Xin Wang
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China.
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China.
- Shandong Provincial Engineering Research Center of Lymphoma, Jinan, 250021, Shandong, China.
- Branch of National Clinical Research Center for Hematologic Diseases, Jinan, 250021, Shandong, China.
- National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 251006, China.
| |
Collapse
|
41
|
Rosenquist R, Bernard E, Erkers T, Scott DW, Itzykson R, Rousselot P, Soulier J, Hutchings M, Östling P, Cavelier L, Fioretos T, Smedby KE. Novel precision medicine approaches and treatment strategies in hematological malignancies. J Intern Med 2023; 294:413-436. [PMID: 37424223 DOI: 10.1111/joim.13697] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Genetic testing has been applied for decades in clinical routine diagnostics of hematological malignancies to improve disease (sub)classification, prognostication, patient management, and survival. In recent classifications of hematological malignancies, disease subtypes are defined by key recurrent genetic alterations detected by conventional methods (i.e., cytogenetics, fluorescence in situ hybridization, and targeted sequencing). Hematological malignancies were also one of the first disease areas in which targeted therapies were introduced, the prime example being BCR::ABL1 inhibitors, followed by an increasing number of targeted inhibitors hitting the Achilles' heel of each disease, resulting in a clear patient benefit. Owing to the technical advances in high-throughput sequencing, we can now apply broad genomic tests, including comprehensive gene panels or whole-genome and whole-transcriptome sequencing, to identify clinically important diagnostic, prognostic, and predictive markers. In this review, we give examples of how precision diagnostics has been implemented to guide treatment selection and improve survival in myeloid (myelodysplastic syndromes and acute myeloid leukemia) and lymphoid malignancies (acute lymphoblastic leukemia, diffuse large B-cell lymphoma, and chronic lymphocytic leukemia). We discuss the relevance and potential of monitoring measurable residual disease using ultra-sensitive techniques to assess therapy response and detect early relapses. Finally, we bring up the promising avenue of functional precision medicine, combining ex vivo drug screening with various omics technologies, to provide novel treatment options for patients with advanced disease. Although we are only in the beginning of the field of precision hematology, we foresee rapid development with new types of diagnostics and treatment strategies becoming available to the benefit of our patients.
Collapse
Affiliation(s)
- Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Hospital, Solna, Stockholm, Sweden
| | - Elsa Bernard
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, USA
- PRISM Center for Personalized Medicine, Gustave Roussy, Villejuif, France
| | - Tom Erkers
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- SciLifeLab, Stockholm, Sweden
| | - David W Scott
- BC Cancer's Centre for Lymphoid Cancer, Vancouver, Canada
- Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Raphael Itzykson
- Université Paris Cité, Génomes, biologie cellulaire et thérapeutique U944, INSERM, CNRS, Paris, France
- Département Hématologie et Immunologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Philippe Rousselot
- Department of Hematology, Centre Hospitalier de Versailles, Le Chesnay, France
| | - Jean Soulier
- Université Paris Cité, Génomes, biologie cellulaire et thérapeutique U944, INSERM, CNRS, Paris, France
- Hématologie Biologique, APHP, Hôpital Saint-Louis, Paris, France
| | - Martin Hutchings
- Department of Haematology and Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark
| | - Päivi Östling
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- SciLifeLab, Stockholm, Sweden
| | - Lucia Cavelier
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Hospital, Solna, Stockholm, Sweden
| | - Thoas Fioretos
- Department of Clinical Genetics, Pathology and Molecular Diagnostics, Office for Medical Services, Region Skåne, Lund, Sweden
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
- Clinical Genomics Lund, Science for Life Laboratory, Lund University, Lund, Sweden
| | - Karin E Smedby
- Department of Hematology, Karolinska University Hospital, Solna, Stockholm, Sweden
- Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
42
|
Mamidi MK, Huang J, Honjo K, Li R, Tabengwa EM, Neeli I, Randall NL, Ponnuchetty MV, Radic M, Leu CM, Davis RS. FCRL1 immunoregulation in B cell development and malignancy. Front Immunol 2023; 14:1251127. [PMID: 37822931 PMCID: PMC10562807 DOI: 10.3389/fimmu.2023.1251127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/01/2023] [Indexed: 10/13/2023] Open
Abstract
Immunotherapeutic targeting of surface regulatory proteins and pharmacologic inhibition of critical signaling pathways has dramatically shifted our approach to the care of individuals with B cell malignancies. This evolution in therapy reflects the central role of the B cell receptor (BCR) signaling complex and its co-receptors in the pathogenesis of B lineage leukemias and lymphomas. Members of the Fc receptor-like gene family (FCRL1-6) encode cell surface receptors with complex tyrosine-based regulation that are preferentially expressed by B cells. Among them, FCRL1 expression peaks on naïve and memory B cells and is unique in terms of its intracellular co-activation potential. Recent studies in human and mouse models indicate that FCRL1 contributes to the formation of the BCR signalosome, modulates B cell signaling, and promotes humoral responses. Progress in understanding its regulatory properties, along with evidence for its over-expression by mature B cell leukemias and lymphomas, collectively imply important yet unmet opportunities for FCRL1 in B cell development and transformation. Here we review recent advances in FCRL1 biology and highlight its emerging significance as a promising biomarker and therapeutic target in B cell lymphoproliferative disorders.
Collapse
Affiliation(s)
- Murali K. Mamidi
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Jifeng Huang
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Kazuhito Honjo
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Ran Li
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Edlue M. Tabengwa
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Indira Neeli
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Nar’asha L. Randall
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Manasa V. Ponnuchetty
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Marko Radic
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Chuen-Miin Leu
- Institute of Microbiology and Immunology, National Yang Ming ChiaoTung University, Taipei, Taiwan
| | - Randall S. Davis
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
- Departments of Microbiology, and Biochemistry & Molecular Genetics, University of Alabama at Birmingham, Birmingham, AL, United States
- O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, United States
| |
Collapse
|
43
|
Han B, Yim J, Lim S, Na S, Lee C, Kim TM, Paik JH, Kim S, Jeon YK. Prognostic Impact of the Immunoscore Based on Whole-Slide Image Analysis of CD3+ Tumor-Infiltrating Lymphocytes in Diffuse Large B-Cell Lymphoma. Mod Pathol 2023; 36:100224. [PMID: 37257823 DOI: 10.1016/j.modpat.2023.100224] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 04/28/2023] [Accepted: 05/09/2023] [Indexed: 06/02/2023]
Abstract
An Immunoscore based on tumor-infiltrating T-cell density was validated as a prognostic factor in patients with solid tumors. However, the potential utility of the Immunoscore in predicting the prognosis of patients with diffuse large B-cell lymphoma (DLBCL) is unclear. Here, the prognostic value of an Immunoscore based on tumor-infiltrating CD3+ T-cell density was evaluated in 104 patients with DLBCL who underwent R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisolone) therapy. Digitally scanned whole-slide images were analyzed using Aperio ImageScope software. CD3+ cell densities in the whole tumor area were quantitated using 3 different methods, including number of CD3+ cells/area (mm2), ratio of CD3+ cells to total cells, and ratio of CD3+ cells to CD20+ cells. There was a high concordance among the 3 methods. Patients with low CD3+ cell density had an elevated serum lactate dehydrogenase level and a high Ki-67 proliferation index (all, P < .05). Patients with low CD3+ cell density, according to all 3 methods, had worse overall survival (OS) and worse progression-free survival (P < .05, all). They also had poor OS, independent of MYC/BCL2 double expression (DE) status, Eastern Cooperative Oncology Group performance status, or Ann Arbor stage (all, P < .05). These results were validated using 2 publicly available data sets. In both validation cohorts, patients with low CD3E mRNA expression had an elevated serum lactate dehydrogenase level, extranodal site involvement, and DE status (P < .05). They also had worse progression-free survival (P = .067 and P = .002, respectively) and OS (both P < .05). A low CD3E mRNA level was predictive of poor OS, independent of DE status. An Immunoscore based on whole-slide image analysis of CD3+ T-cell infiltration was sufficient to predict survival in patients with DLBCL. Low CD3+ cell density was a poor prognostic factor, independent of other prognostic parameters and DE status.
Collapse
Affiliation(s)
- Bogyeong Han
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jeemin Yim
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sojung Lim
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sei Na
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea
| | - Cheol Lee
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Tae Min Kim
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jin-Ho Paik
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea
| | - Sehui Kim
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Pathology, Korea University Guro Hospital, Seoul, Republic of Korea.
| | - Yoon Kyung Jeon
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea; Cancer Research Institute, Seoul National University, Seoul, Republic of Korea.
| |
Collapse
|
44
|
Tripodo C, Bertolazzi G, Cancila V, Morello G, Iannitto E. Pseudotemporal ordering of spatial lymphoid tissue microenvironment profiles trails Unclassified DLBCL at the periphery of the follicle. Front Immunol 2023; 14:1207959. [PMID: 37680642 PMCID: PMC10482233 DOI: 10.3389/fimmu.2023.1207959] [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: 04/18/2023] [Accepted: 08/02/2023] [Indexed: 09/09/2023] Open
Abstract
We have established a pseudotemporal ordering for the transcriptional signatures of distinct microregions within reactive lymphoid tissues, namely germinal center dark zones (DZ), germinal center light zones (LZ), and peri-follicular areas (Peri). By utilizing this pseudotime trajectory derived from the functional microenvironments of DZ, LZ, and Peri, we have ordered the transcriptomes of Diffuse Large B-cell Lymphoma cases. The apex of the resulting pseudotemporal trajectory, which is characterized by enrichment of molecular programs fronted by TNFR signaling and inhibitory immune checkpoint overexpression, intercepts a discrete peri-follicular biology. This observation is associated with DLBCL cases that are enriched in the Unclassified/type-3 COO category, raising questions about the potential extra-GC microenvironment imprint of this peculiar group of cases. This report offers a thought-provoking perspective on the relationship between transcriptional profiling of functional lymphoid tissue microenvironments and the evolving concept of the cell of origin in Diffuse Large B-cell Lymphomas.
Collapse
Affiliation(s)
- Claudio Tripodo
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care "G. D'Alessandro", University of Palermo, Palermo, Italy
- Histopathology Unit, Institute of Molecular Oncology Foundation (IFOM) ETS - The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Giorgio Bertolazzi
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care "G. D'Alessandro", University of Palermo, Palermo, Italy
- Department of Economics, Business, and Statistics, University of Palermo, Palermo, Italy
| | - Valeria Cancila
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Gaia Morello
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Emilio Iannitto
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care "G. D'Alessandro", University of Palermo, Palermo, Italy
- Department of Oncology, Hematology and Bone Marrow Transplants Unit La Maddalena, Palermo, Italy
| |
Collapse
|
45
|
Meriranta L, Pitkänen E, Leppä S. Blood has never been thicker: Cell-free DNA fragmentomics in the liquid biopsy toolbox of B-cell lymphomas. Semin Hematol 2023; 60:132-141. [PMID: 37455222 DOI: 10.1053/j.seminhematol.2023.06.006] [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: 03/20/2023] [Revised: 05/30/2023] [Accepted: 06/24/2023] [Indexed: 07/18/2023]
Abstract
Liquid biopsies utilizing plasma circulating tumor DNA (ctDNA) are anticipated to revolutionize decision-making in cancer care. In the field of lymphomas, ctDNA-based blood tests represent the forefront of clinically applicable tools to harness decades of genomic research for disease profiling, quantification, and detection. More recently, the discovery of nonrandom fragmentation patterns in cell-free DNA (cfDNA) has opened another avenue of liquid biopsy research beyond mutational interrogation of ctDNA. Through examination of structural features, nucleotide content, and genomic distribution of massive numbers of plasma cfDNA molecules, the study of fragmentomics aims at identifying new tools that augment existing ctDNA-based analyses and discover new ways to profile cancer from blood tests. Indeed, the characterization of aberrant lymphoma ctDNA fragment patterns and harnessing them with powerful machine-learning techniques are expected to unleash the potential of nonmutant molecules for liquid biopsy purposes. In this article, we review cfDNA fragmentomics as an emerging approach in the ctDNA research of B-cell lymphomas. We summarize the biology behind the formation of cfDNA fragment patterns and discuss the preanalytical and technical limitations faced with current methodologies. Then we go through the advances in the field of lymphomas and envision what other noninvasive tools based on fragment characteristics could be explored. Last, we place fragmentomics as one of the facets of ctDNA analyses in emerging multiview and multiomics liquid biopsies. We pay attention to the unknowns in the field of cfDNA fragmentation biology that warrant further mechanistic investigation to provide rational background for the development of these precision oncology tools and understanding of their limitations.
Collapse
Affiliation(s)
- Leo Meriranta
- Applied Tumor Genomics, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland.
| | - Esa Pitkänen
- Applied Tumor Genomics, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland; Institute for Molecular Medicine Finland (FIMM), HILIFE, Helsinki, Finland
| | - Sirpa Leppä
- Applied Tumor Genomics, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship, Helsinki, Finland.
| |
Collapse
|
46
|
Wenzl K, Stokes M, Novak JP, Bock AM, Khan S, Hopper MA, Krull JE, Dropik AR, Walker JS, Sarangi V, Mwangi R, Ortiz M, Stong N, Huang CC, Maurer MJ, Rimsza L, Link BK, Slager SL, Asmann Y, Mondello P, Morin R, Ansell SM, Habermann TM, Feldman AL, King RL, Nowakowski G, Cerhan JR, Gandhi AK, Novak AJ. Multiomic Analysis Identifies a High-Risk Metabolic and TME Depleted Signature that Predicts Early Clinical Failure in DLBCL. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.07.23290748. [PMID: 37333387 PMCID: PMC10274962 DOI: 10.1101/2023.06.07.23290748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
PURPOSE 60-70% of newly diagnosed diffuse large B-cell lymphoma (DLBCL) patients avoid events within 24 months of diagnosis (EFS24) and the remainder have poor outcomes. Recent genetic and molecular classification of DLBCL has advanced our knowledge of disease biology, yet were not designed to predict early events and guide anticipatory selection of novel therapies. To address this unmet need, we used an integrative multiomic approach to identify a signature at diagnosis that will identify DLBCL at high risk of early clinical failure. PATIENTS AND METHODS Tumor biopsies from 444 newly diagnosed DLBCL were analyzed by WES and RNAseq. A combination of weighted gene correlation network analysis and differential gene expression analysis followed by integration with clinical and genomic data was used to identify a multiomic signature associated with high risk of early clinical failure. RESULTS Current DLBCL classifiers are unable to discriminate cases who fail EFS24. We identified a high risk RNA signature that had a hazard ratio (HR, 18.46 [95% CI 6.51-52.31] P < .001) in a univariate model, which did not attenuate after adjustment for age, IPI and COO (HR, 20.8 [95% CI, 7.14-61.09] P < .001). Further analysis revealed the signature was associated with metabolic reprogramming and a depleted immune microenvironment. Finally, WES data was integrated into the signature and we found that inclusion of ARID1A mutations resulted in identification of 45% of cases with an early clinical failure which was validated in external DLBCL cohorts. CONCLUSION This novel and integrative approach is the first to identify a signature at diagnosis that will identify DLBCL at high risk for early clinical failure and may have significant implications for design of therapeutic options.
Collapse
|
47
|
Robbe P, Schuh A. Genomic Stratification of Hematological Malignancies. Hemasphere 2023; 7:e902. [PMID: 37251914 PMCID: PMC10219718 DOI: 10.1097/hs9.0000000000000902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 04/25/2023] [Indexed: 05/31/2023] Open
Affiliation(s)
- Pauline Robbe
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Anna Schuh
- Department of Oncology, University of Oxford, United Kingdom
| |
Collapse
|
48
|
Davies AJ, Barrans S, Stanton L, Caddy J, Wilding S, Saunders G, Mamot C, Novak U, McMillan A, Fields P, Collins GP, Stephens R, Cucco F, Sha C, van Hoppe M, Tooze R, Davies JR, Griffiths G, Schuh A, Burton C, Westhead DR, Du MQ, Johnson PW. Differential Efficacy From the Addition of Bortezomib to R-CHOP in Diffuse Large B-Cell Lymphoma According to the Molecular Subgroup in the REMoDL-B Study With a 5-Year Follow-Up. J Clin Oncol 2023; 41:2718-2723. [PMID: 36972491 PMCID: PMC10414744 DOI: 10.1200/jco.23.00033] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 02/10/2023] [Indexed: 03/29/2023] Open
Abstract
Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported.The REMoDL-B phase III adaptive trial compared rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisolone (R-CHOP) versus R-CHOP + bortezomib (RB-CHOP) in patients with diffuse large B-cell lymphoma (DLBCL), stratified by molecular subtype. Primary analysis at a median follow-up of 30 months found no effect of bortezomib on progression-free survival (PFS) or overall survival (OS). Retrospective analysis using a gene expression-based classifier identified a molecular high-grade (MHG) group with worse outcomes. We present an updated analysis for patients successfully classified by the gene expression profile (GEP). Eligible patients were age older than 18 years with untreated DLBCL, fit enough for full-dose chemotherapy, and with adequate biopsies for GEP. Of 1,077 patients registered, 801 were identified with Activated B-Cell (ABC), Germinal Center B-cell, or MHG lymphoma. At a median follow-up of 64 months, there was no overall benefit of bortezomib on PFS or OS (5-year PFS hazard ratio [HR], 0.81; P = .085; OS HR, 0.86; P = .32). However, improved PFS and OS were seen in ABC lymphomas after RB-CHOP: 5-year OS 67% with R-CHOP versus 80% with RB-CHOP (HR, 0.58; 95% CI, 0.35 to 0.95; P = .032). Five-year PFS was higher in MHG lymphomas: 29% versus 55% (HR, 0.46; 95% CI, 0.26 to 0.84). Patients with ABC and MHG DLBCL may benefit from the addition of bortezomib to R-CHOP in initial therapy.
Collapse
Affiliation(s)
- Andrew J. Davies
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Sharon Barrans
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals, Leeds, United Kingdom
| | - Louise Stanton
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | - Josh Caddy
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | - Sam Wilding
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | - Geoff Saunders
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | | | - Urban Novak
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andrew McMillan
- Department of Haematology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom
| | - Paul Fields
- Department of Haematology, Guy's and St Thomas's Hospitals NHS Trust, Kings Health Partners, London, United Kingdom
| | - Graham P. Collins
- Oxford Cancer and Haematology Centre, Churchill Hospital, Oxford, United Kingdom
| | - Richard Stephens
- National Cancer Research Institute Consumer Forum, London, United Kingdom
| | - Francesco Cucco
- Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Chulin Sha
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Moniek van Hoppe
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals, Leeds, United Kingdom
| | - Reuben Tooze
- Section of Experimental Haematology, University of Leeds, Leeds, United Kingdom
| | - John R. Davies
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Gareth Griffiths
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | - Anna Schuh
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Catherine Burton
- Haematological Malignancy Diagnostic Service, Leeds Cancer Centre, Leeds Teaching Hospitals, Leeds, United Kingdom
| | - David R. Westhead
- School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Ming-Qing Du
- Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Peter W.M. Johnson
- School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| |
Collapse
|
49
|
Duffield AS, Dogan A, Amador C, Cook JR, Czader M, Goodlad JR, Nejati R, Xiao W, Happ L, Parker C, Thacker E, Thakkar D, Dave SS, Wasik MA, Ott G. Progression of follicular lymphoma and related entities: Report from the 2021 SH/EAHP Workshop. Am J Clin Pathol 2023; 159:aqad042. [PMID: 37167543 PMCID: PMC10233403 DOI: 10.1093/ajcp/aqad042] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 03/21/2023] [Indexed: 05/13/2023] Open
Abstract
OBJECTIVES The 2021 Society for Hematopathology and European Association for Haematopathology Workshop addressed the molecular and cytogenetic underpinnings of transformation and transdifferentiation in lymphoid neoplasms. METHODS Session 4, "Transformations of Follicular Lymphoma," and session 5, "Transformations of Other B-Cell Lymphomas," included 45 cases. Gene alteration analysis and expression profiling were performed on cases with submitted formalin-fixed, paraffin embedded tissue. RESULTS The findings from session 4 suggest that "diffuse large B-cell lymphoma/high-grade B-cell lymphoma with rearrangements of MYC and BCL2" is a distinct category arising from the constraints of a preexisting BCL2 translocation. TdT expression in aggressive B-cell lymphomas is associated with MYC rearrangements, immunophenotypic immaturity, and a dismal prognosis but must be differentiated from lymphoblastic -lymphoma. Cases in session 5 illustrated unusual morphologic and immunophenotypic patterns of transformation. Additionally, the findings support the role of cytogenetic abnormalities-specifically, MYC and NOTCH1 rearrangements-as well as single gene alterations, including TP53, in transformation. CONCLUSIONS Together, these unique cases and their accompanying molecular and cytogenetic data suggest potential mechanisms for and unusual patterns of transformation in B-cell lymphomas and indicate numerous opportunities for further study.
Collapse
Affiliation(s)
- Amy S Duffield
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, US
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, US
| | - Catalina Amador
- Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL, US
| | - James R Cook
- Department of Laboratory Medicine, Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, US
| | - Magdalena Czader
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, US
| | - John R Goodlad
- Department of Pathology, NHS Greater Glasgow and Clyde, Glasgow, UK
| | - Reza Nejati
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, PA, US
| | - Wenbin Xiao
- Department of Pathology and Laboratory Medicine, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, US
| | | | | | | | - Devang Thakkar
- Center for Genomic and Computational Biology and Department of Medicine, Duke University, Durham, NC, US
| | - Sandeep S Dave
- Center for Genomic and Computational Biology and Department of Medicine, Duke University, Durham, NC, US
| | - Mariusz A Wasik
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, PA, US
| | - German Ott
- Abteilung für Klinische Pathologie, Robert-Bosch-Krankenhaus, and Dr Margarete Fischer-Bosch Institut für Klinische Pharmakologie, Stuttgart, Germany
| |
Collapse
|
50
|
Hoppe MM, Jaynes P, Shuangyi F, Peng Y, Sridhar S, Hoang PM, Liu CX, De Mel S, Poon L, Chan EHL, Lee J, Ong CK, Tang T, Lim ST, Nagarajan C, Grigoropoulos NF, Tan SY, Hue SSS, Chang ST, Chuang SS, Li S, Khoury JD, Choi H, Harris C, Bottos A, Gay LJ, Runge HF, Moutsopoulos I, Mohorianu I, Hodson DJ, Farinha P, Mottok A, Scott DW, Pitt JJ, Chen J, Kumar G, Kannan K, Chng WJ, Chee YL, Ng SB, Tripodo C, Jeyasekharan AD. Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma. Cancer Discov 2023; 13:1144-1163. [PMID: 37071673 PMCID: PMC10157367 DOI: 10.1158/2159-8290.cd-22-0998] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/29/2022] [Accepted: 02/13/2023] [Indexed: 04/19/2023]
Abstract
Cancers often overexpress multiple clinically relevant oncogenes, but it is not known if combinations of oncogenes in cellular subpopulations within a cancer influence clinical outcomes. Using quantitative multispectral imaging of the prognostically relevant oncogenes MYC, BCL2, and BCL6 in diffuse large B-cell lymphoma (DLBCL), we show that the percentage of cells with a unique combination MYC+BCL2+BCL6- (M+2+6-) consistently predicts survival across four independent cohorts (n = 449), an effect not observed with other combinations including M+2+6+. We show that the M+2+6- percentage can be mathematically derived from quantitative measurements of the individual oncogenes and correlates with survival in IHC (n = 316) and gene expression (n = 2,521) datasets. Comparative bulk/single-cell transcriptomic analyses of DLBCL samples and MYC/BCL2/BCL6-transformed primary B cells identify molecular features, including cyclin D2 and PI3K/AKT as candidate regulators of M+2+6- unfavorable biology. Similar analyses evaluating oncogenic combinations at single-cell resolution in other cancers may facilitate an understanding of cancer evolution and therapy resistance. SIGNIFICANCE Using single-cell-resolved multiplexed imaging, we show that selected subpopulations of cells expressing specific combinations of oncogenes influence clinical outcomes in lymphoma. We describe a probabilistic metric for the estimation of cellular oncogenic coexpression from IHC or bulk transcriptomes, with possible implications for prognostication and therapeutic target discovery in cancer. This article is highlighted in the In This Issue feature, p. 1027.
Collapse
Affiliation(s)
- Michal Marek Hoppe
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Patrick Jaynes
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Fan Shuangyi
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yanfen Peng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Shruti Sridhar
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Phuong Mai Hoang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Clementine Xin Liu
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
| | - Sanjay De Mel
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Limei Poon
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Esther Hian Li Chan
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Joanne Lee
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Choon Kiat Ong
- Division of Cellular and Molecular Research, National Cancer Centre Singapore, Singapore, Singapore
| | - Tiffany Tang
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Soon Thye Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | | | | | - Soo-Yong Tan
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Susan Swee-Shan Hue
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Sheng-Tsung Chang
- Department of Pathology, Chi-Mei Medical Center, Tainan City, Taiwan
| | - Shih-Sung Chuang
- Department of Pathology, Chi-Mei Medical Center, Tainan City, Taiwan
| | - Shaoying Li
- Department of Hematopathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Joseph D. Khoury
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, Nebraska
| | - Hyungwon Choi
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Carl Harris
- F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | | | - Laura J. Gay
- Wellcome MRC Cambridge Stem Cell Institute, Cambridge, United Kingdom
| | | | | | - Irina Mohorianu
- Wellcome MRC Cambridge Stem Cell Institute, Cambridge, United Kingdom
| | - Daniel J. Hodson
- Wellcome MRC Cambridge Stem Cell Institute, Cambridge, United Kingdom
| | | | - Anja Mottok
- BC Cancer Research Centre, Vancouver, Canada
| | | | - Jason J. Pitt
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Jinmiao Chen
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Gayatri Kumar
- Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kasthuri Kannan
- Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wee Joo Chng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yen Lin Chee
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Siok-Bian Ng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Claudio Tripodo
- Tumor Immunology Unit, University of Palermo, Palermo, Italy
- IFOM ETS – The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Anand D. Jeyasekharan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Department of Haematology-Oncology, National University Health System, Singapore, Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| |
Collapse
|