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Hua F, Hu Y, He GC, Lai SH, He Y, Zhang S, Deng Y, Han Y, Liu XD, Yang K, Zhong HX, Xiao J, Zheng ZZ, Yi H. Case report: TP53 c.848G>A germline mutation as a possible screening target at initial diagnosis for acute lymphoblastic leukemia. Hematology 2024; 29:2377860. [PMID: 39007733 DOI: 10.1080/16078454.2024.2377860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 07/03/2024] [Indexed: 07/16/2024] Open
Abstract
BACKGROUD Li-Fraumeni syndrome is a hereditary tumor syndrome characterized by an elevated risk of malignancy, particularly acute lymphoblastic leukemia (ALL), which can be caused by the heterozygous germline mutation. TP53 gene germline mutation is considered a potential risk factor and crucial prognostic parameter for acute leukemia development and diagnosis, but rarely occurs in adults, and its specific pathogenic significance in acute leukemia is unclear. CASE PRESENTATION We describes a case of a 45-year-old woman diagnosed with ALL. Whole-exome sequencing approach identified one of the TP53 germline mutations from her bone marrow sample with possible pathogenic significance, c.848G>A (p.Arg283His) heterozygous missense mutation located on exon 8, which was further verified in her hair, oral mucous and nail samples. Family pedigree screening revealed that the same TP53 genetic variant was present in the patient's father and non-donor son, whereas not in the donor. Digital PCR observed that this point mutation frequency dropped post-transplantation but remained low during maintenance therapy when the patient was leukemia-free. CONCLUSION This suspected Li-Fraumeni syndrome case report with a likely pathogenic heterozygous TP53 variant expands the cancer genetic spectrum. Screening her family members for mutations facilitates identifying the optimal relative donor and avoids unnecessary treatment by monitoring TP53 germline mutations for minimal residual disease following hematopoietic stem cell transplantation. Its potential roles in hematological malignant tumor development and clinical pathogenic implications necessitate further probing.
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Affiliation(s)
- Fang Hua
- Department of Hematology, The General Hospital of Western Theater Command, PLA, Chengdu, People's Republic of China
- Department of Hematology, Zigong First People's Hospital, Zigong, People's Republic of China
| | - Yue Hu
- Department of Hematology, The General Hospital of Western Theater Command, PLA, Chengdu, People's Republic of China
- North Sichuan Medical College Graduate School, Nanchong, People's Republic of China
| | - Guang-Cui He
- Department of Hematology, The General Hospital of Western Theater Command, PLA, Chengdu, People's Republic of China
| | - Si-Han Lai
- Department of Hematology, The General Hospital of Western Theater Command, PLA, Chengdu, People's Republic of China
| | - Ying He
- Department of Hematology, The General Hospital of Western Theater Command, PLA, Chengdu, People's Republic of China
| | - Shan Zhang
- Department of Hematology, The General Hospital of Western Theater Command, PLA, Chengdu, People's Republic of China
| | - Yan Deng
- Department of Hematology, The General Hospital of Western Theater Command, PLA, Chengdu, People's Republic of China
| | - Ying Han
- Department of Hematology, The General Hospital of Western Theater Command, PLA, Chengdu, People's Republic of China
| | - Xiao-Dong Liu
- Department of Hematology, Zigong First People's Hospital, Zigong, People's Republic of China
| | - Kun Yang
- Department of Hematology, Zigong First People's Hospital, Zigong, People's Republic of China
| | - Hui-Xiu Zhong
- Department of Laboratory Medicine, Zigong First People's Hospital, Zigong, People's Republic of China
| | - Jian Xiao
- Department of Hematology, Zigong First People's Hospital, Zigong, People's Republic of China
| | - Zhong-Zheng Zheng
- Shanghai Tissuebank Biotechnology Co., Ltd, Shanghai, People's Republic of China
| | - Hai Yi
- Department of Hematology, The General Hospital of Western Theater Command, PLA, Chengdu, People's Republic of China
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2
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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.
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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.
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3
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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.
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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
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Adams CM, McBride A, Michener P, Shkundina I, Mitra R, An HH, Porcu P, Eischen CM. Identifying Targetable Vulnerabilities to Circumvent or Overcome Venetoclax Resistance in Diffuse Large B-Cell Lymphoma. Cancers (Basel) 2024; 16:2130. [PMID: 38893249 PMCID: PMC11171410 DOI: 10.3390/cancers16112130] [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: 04/25/2024] [Revised: 05/22/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024] Open
Abstract
Clinical trials with single-agent venetoclax/ABT-199 (anti-apoptotic BCL2 inhibitor) revealed that diffuse large B-cell lymphoma (DLBCL) is not solely dependent on BCL2 for survival. Gaining insight into pathways/proteins that increase venetoclax sensitivity or unique vulnerabilities in venetoclax-resistant DLBCL would provide new potential treatment avenues. Therefore, we generated acquired venetoclax-resistant DLBCL cells and evaluated these together with intrinsically venetoclax-resistant and -sensitive DLBCL lines. We identified resistance mechanisms, including alterations in BCL2 family members that differed between intrinsic and acquired venetoclax resistance and increased dependencies on specific pathways. Although combination treatments with BCL2 family member inhibitors may overcome venetoclax resistance, RNA-sequencing and drug/compound screens revealed that venetoclax-resistant DLBCL cells, including those with TP53 mutation, had a preferential dependency on oxidative phosphorylation. Mitochondrial electron transport chain complex I inhibition induced venetoclax-resistant, but not venetoclax-sensitive, DLBCL cell death. Inhibition of IDH2 (mitochondrial redox regulator) synergistically overcame venetoclax resistance. Additionally, both acquired and intrinsic venetoclax-resistant DLBCL cells were similarly sensitive to inhibitors of transcription, B-cell receptor signaling, and class I histone deacetylases. These approaches were also effective in DLBCL, follicular, and marginal zone lymphoma patient samples. Our results reveal there are multiple ways to circumvent or overcome the diverse venetoclax resistance mechanisms in DLBCL and other B-cell lymphomas and identify critical targetable pathways for future clinical investigations.
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Affiliation(s)
- Clare M. Adams
- Department of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, 233 South 10th St., Philadelphia, PA 19107, USA
| | - Amanda McBride
- Department of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, 233 South 10th St., Philadelphia, PA 19107, USA
- Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, 834 Chestnut St., Philadelphia, PA 19107, USA
| | - Peter Michener
- Department of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, 233 South 10th St., Philadelphia, PA 19107, USA
| | - Irina Shkundina
- Department of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, 233 South 10th St., Philadelphia, PA 19107, USA
| | - Ramkrishna Mitra
- Department of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, 233 South 10th St., Philadelphia, PA 19107, USA
| | - Hyun Hwan An
- Department of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, 233 South 10th St., Philadelphia, PA 19107, USA
| | - Pierluigi Porcu
- Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, 834 Chestnut St., Philadelphia, PA 19107, USA
| | - Christine M. Eischen
- Department of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, 233 South 10th St., Philadelphia, PA 19107, USA
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Lewis KL, Cheah CY. The value of bispecific antibodies in relapsed and refractory DLBCL. Leuk Lymphoma 2024; 65:720-735. [PMID: 38454535 DOI: 10.1080/10428194.2024.2323085] [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: 10/18/2023] [Accepted: 02/19/2024] [Indexed: 03/09/2024]
Abstract
Diffuse large B-cell lymphoma (DLBCL) may be cured with anti-CD20 based chemoimmunotherapy in the majority of cases, however, relapsed/refractory disease occurs in 30-40% patients, and despite significant recent therapeutic advances, continues to represent an unmet clinical need. Bispecific antibodies represent a novel class of therapy currently in development for relapsed/refractory B-cell lymphoma. This review discusses the background clinical need, mechanism of action, and clinical data including efficacy and toxicity for bispecific antibodies in DLBCL, focusing on the most advanced class in development; CD20 targeting T-cell engaging antibodies. Emerging possibilities for future use of bispecific antibodies is also discussed, including novel and cytotoxic combination regimens in relapsed and first-line settings.
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MESH Headings
- Humans
- Antibodies, Bispecific/therapeutic use
- Antibodies, Bispecific/pharmacology
- Lymphoma, Large B-Cell, Diffuse/drug therapy
- Lymphoma, Large B-Cell, Diffuse/immunology
- Drug Resistance, Neoplasm/immunology
- Antineoplastic Agents, Immunological/therapeutic use
- Antineoplastic Agents, Immunological/adverse effects
- Neoplasm Recurrence, Local/immunology
- Neoplasm Recurrence, Local/drug therapy
- Treatment Outcome
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Antineoplastic Combined Chemotherapy Protocols/adverse effects
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Affiliation(s)
- Katharine Louise Lewis
- Department of Haematology, Sir Charles Gairdner Hospital, Nedlands, Australia
- Linear Clinical Research, Nedlands, Australia
- Medical School, Division of Internal Medicine, University of Western Australia, Nedlands, Australia
| | - Chan Yoon Cheah
- Department of Haematology, Sir Charles Gairdner Hospital, Nedlands, Australia
- Linear Clinical Research, Nedlands, Australia
- Medical School, Division of Internal Medicine, University of Western Australia, Nedlands, Australia
- Department of Haematology, Pathwest, QEII, Nedlands, Australia
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6
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Woo YR, Kwon CS, Lee JE, Jeon BE, Kim TJ, Choo J, Seo YS, Kim SW. Ajania pacifica (Nakai) K. Bremer and Humphries Extract Limits MYC Expression to Induce Apoptosis in Diffuse Large B Cell Lymphoma. Curr Issues Mol Biol 2024; 46:4580-4594. [PMID: 38785546 PMCID: PMC11119827 DOI: 10.3390/cimb46050278] [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: 02/08/2024] [Revised: 05/03/2024] [Accepted: 05/07/2024] [Indexed: 05/25/2024] Open
Abstract
The proto-oncogene MYC is frequently dysregulated in patients with diffuse large B-cell lymphoma (DLBCL) and plays a critical role in disease progression. To improve the clinical outcomes of patients with DLBCL, the development of strategies to target MYC is crucial. The use of medicinal plants for developing anticancer drugs has garnered considerable attention owing to their diverse mechanisms of action. In this study, 100 plant extracts of flora from the Republic of Korea were screened to search for novel agents with anti-DLBCL effects. Among them, Ajania pacifica (Nakai) K. Bremer and Humphries extract (APKH) efficiently suppressed the survival of DLBCL cells, while showing minimal toxicity toward normal murine bone marrow cells. APKH suppressed the expression of anti-apoptotic BCL2 family members, causing an imbalance between the pro-apoptotic and anti-apoptotic BCL2 members. This disrupted mitochondrial membrane potential, cytochrome c release, and pro-caspase-3 activation and eventually led to DLBCL cell death. Importantly, MYC expression was markedly downregulated by APKH and ectopic expression of MYC in DLBCL cells abolished the pro-apoptotic effects of APKH. These results demonstrate that APKH exerts anti-DLBCL effects by inhibiting MYC expression. Moreover, when combined with doxorubicin, an essential component of the CHOP regimen (cyclophosphamide, doxorubicin, vincristine, and prednisone), APKH synergistically enhanced the therapeutic effect of doxorubicin. This indicates that APKH may overcome drug resistance, which is common in patients with refractory/relapsed DLBCL. To identify compounds with anti-DLBCL activities in APKH, the chemical profile analysis of APKH was performed using UPLC-QTOF/MSe analysis and assessed for its anticancer activity. Based on the UPLC-QTOF/MSe chemical profiling, it is conceivable that APKH may serve as a novel agent targeting MYC and sensitizing drug-resistant DLBCL cells to CHOP chemotherapy. Further studies to elucidate how the compounds in APKH exert tumor-suppressive role in DLBCL are warranted.
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Affiliation(s)
- Ye-Rin Woo
- Department of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea; (Y.-R.W.); (C.-S.K.); (J.-E.L.); (B.-E.J.); (T.-J.K.)
| | - Chan-Seong Kwon
- Department of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea; (Y.-R.W.); (C.-S.K.); (J.-E.L.); (B.-E.J.); (T.-J.K.)
| | - Ji-Eun Lee
- Department of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea; (Y.-R.W.); (C.-S.K.); (J.-E.L.); (B.-E.J.); (T.-J.K.)
| | - Byeol-Eun Jeon
- Department of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea; (Y.-R.W.); (C.-S.K.); (J.-E.L.); (B.-E.J.); (T.-J.K.)
| | - Tae-Jin Kim
- Department of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea; (Y.-R.W.); (C.-S.K.); (J.-E.L.); (B.-E.J.); (T.-J.K.)
| | - Joy Choo
- Department of Biological Sciences, College of Arts and Sciences, Texas Tech University, Lubbock, TX 79409, USA;
| | - Young-Seob Seo
- Korea Research Institute of Standard and Science, Daejeon 34113, Republic of Korea;
| | - Sang-Woo Kim
- Department of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea; (Y.-R.W.); (C.-S.K.); (J.-E.L.); (B.-E.J.); (T.-J.K.)
- Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea
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Wang Y, Shi Q, Shi ZY, Tian S, Zhang MC, Shen R, Fu D, Dong L, Yi HM, Ouyang BS, Mu RJ, Cheng S, Wang L, Xu PP, Zhao WL. Biological signatures of the International Prognostic Index in diffuse large B-cell lymphoma. Blood Adv 2024; 8:1587-1599. [PMID: 38170757 PMCID: PMC10987882 DOI: 10.1182/bloodadvances.2023011425] [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: 08/10/2023] [Revised: 11/14/2023] [Accepted: 12/03/2023] [Indexed: 01/05/2024] Open
Abstract
ABSTRACT Diffuse large B-cell lymphoma (DLBCL) is a highly aggressive subtype of lymphoma with clinical and biological heterogeneity. The International Prognostic Index (IPI) shows great prognostic capability in the era of rituximab, but the biological signatures of IPI remain to be discovered. In this study, we analyzed the clinical data in a large cohort of 2592 patients with newly diagnosed DLBCL. Among them, 1233 underwent DNA sequencing for oncogenic mutations, and 487 patients underwent RNA sequencing for lymphoma microenvironment (LME) alterations. Based on IPI scores, patients were categorized into 4 distinct groups, with 5-year overall survival of 41.6%, 55.3%, 71.7%, and 89.7%, respectively. MCD-like subtype was associated with age of >60 years, multiple extranodal involvement, elevated serum lactate dehydrogenase (LDH), and IPI scores ranging from 2 to 5, whereas ST2-like subtype showed an opposite trend. Patients with EZB-like MYC+ and TP53Mut subtypes exhibited poor clinical outcome independent of the IPI; integrating TP53Mut into IPI could better distinguish patients with dismal survival. The EZB-like MYC-, BN2-like, N1-like, and MCD-like subtypes had inferior prognosis in patients with IPI scores of ≥2, indicating necessity for enhanced treatment. Regarding LME categories, the germinal center-like LME was more prevalent in patients with normal LDH and IPI scores of 0 to 1. The mesenchymal LME served as an independent protective factor, whereas the germinal center-like, inflammatory, and depleted LME categories correlated with inferior prognosis for IPI scores of 2 to 5. In summary, our work explored the biological signatures of IPI, thus providing useful rationale for future optimization of the IPI-based treatment strategies with multi-omics information in DLBCL.
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Affiliation(s)
- Yue Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Shi
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zi-Yang Shi
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuang Tian
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mu-Chen Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rong Shen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Di Fu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Dong
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong-Mei Yi
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bin-Shen Ouyang
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rong-Ji Mu
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shu Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Laboratory of Molecular Pathology, Shanghai, China
| | - Peng-Peng Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei-Li Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Laboratory of Molecular Pathology, Shanghai, China
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8
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Cho SF, Yeh TJ, Wang HC, Du JS, Gau YC, Lin YY, Chuang TM, Liu YC, Hsiao HH, Moi SH. Prognostic mutation signature would serve as a potential prognostic predictor in patients with diffuse large B-cell lymphoma. Sci Rep 2024; 14:6161. [PMID: 38485750 PMCID: PMC10940711 DOI: 10.1038/s41598-024-56583-4] [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: 11/09/2023] [Accepted: 03/08/2024] [Indexed: 03/18/2024] Open
Abstract
The present study aimed to elucidate the prognostic mutation signature (PMS) associated with long-term survival in a diffuse large B-cell lymphoma (DLBCL) cohort. All data including derivation and validation cohorts were retrospectively retrieved from The Cancer Genome Atlas (TCGA) database and whole-exome sequencing (WES) data. The Lasso Cox regression analysis was used to construct the PMS based on WES data, and the PMS was determined using the area under the receiver operating curve (AUC). The predictive performance of eligible PMS was analyzed by time-dependent receiver operating curve (ROC) analyses. After the initial evaluation, a PMS composed of 94 PFS-related genes was constructed. Notably, this constructed PMS accurately predicted the 12-, 36-, and 60-month PFS, with AUC values of 0.982, 0.983, and 0.987, respectively. A higher level of PMS was closely linked to a significantly worse PFS, regardless of the molecular subtype. Further evaluation by forest plot revealed incorporation of international prognostic index or tumor mutational burden into PMS increased the prediction capability for PFS. The drug-gene interaction and pathway exploration revealed the PFS-related genes were associated with DNA damage, TP53, apoptosis, and immune cell functions. In conclusion, this study utilizing a high throughput genetic approach demonstrated that the PMS could serve as a prognostic predictor in DLBCL patients. Furthermore, the identification of the key signaling pathways for disease progression also provides information for further investigation to gain more insight into novel drug-resistant mechanisms.
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Affiliation(s)
- Shih-Feng Cho
- Division of Hematology & Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
- Center for Cancer Research, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
- Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Tsung-Jang Yeh
- Division of Hematology & Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
- Center for Cancer Research, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Hui-Ching Wang
- Division of Hematology & Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Jeng-Shiun Du
- Division of Hematology & Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Yuh-Ching Gau
- Division of Hematology & Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Yu-Yin Lin
- Health Management Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Tzer-Ming Chuang
- Division of Hematology & Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Yi-Chang Liu
- Division of Hematology & Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Hui-Hua Hsiao
- Division of Hematology & Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Sin-Hua Moi
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
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9
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Tabari E, Lovejoy AF, Lin H, Bolen CR, Lor Saelee S, Lefkowitz JP, Kurtz DM, Bottos A, Nielsen TG, Parreira JM, Luong KT. NGS-determined molecular markers and disease burden metrics from ctDNA correlate with PFS in previously untreated DLBCL. Leuk Lymphoma 2024:1-11. [PMID: 38337191 DOI: 10.1080/10428194.2024.2301924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 01/02/2024] [Indexed: 02/12/2024]
Abstract
Personalized risk stratification and treatment may help improve outcomes among patients with diffuse large B-cell lymphoma (DLBCL). We developed a next-generation sequencing (NGS)-based method to assess a range of potential prognostic indicators, and evaluated it using pretreatment plasma samples from 310 patients with previously untreated DLBCL from the GOYA trial (NCT01287741). Variant calls and DLBCL subtyping with the plasma-based method were concordant with corresponding tissue-based methods. Patients with a tumor burden greater than the median (p = .003) and non-germinal center B-cell-like (non-GCB) DLBCL (p = .049) had worse progression-free survival than patients with a tumor burden less than the median or GCB DLBCL. Multi-factor assessment combining orthogonal features from a single pretreatment plasma sample has promise as a prognostic indicator in this setting (p = .085). This minimally invasive plasma-based NGS assay could enable comprehensive prognostic assessment of patients in a clinical setting, with greater accessibility than current methods.
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Affiliation(s)
| | | | - Hai Lin
- Roche Sequencing Solutions, Pleasanton, CA, USA
| | | | | | | | - David M Kurtz
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA
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10
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Weissmiller AM, Fesik SW, Tansey WP. WD Repeat Domain 5 Inhibitors for Cancer Therapy: Not What You Think. J Clin Med 2024; 13:274. [PMID: 38202281 PMCID: PMC10779565 DOI: 10.3390/jcm13010274] [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: 12/04/2023] [Revised: 12/14/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
WDR5 is a conserved nuclear protein that scaffolds the assembly of epigenetic regulatory complexes and moonlights in functions ranging from recruiting MYC oncoproteins to chromatin to facilitating the integrity of mitosis. It is also a high-value target for anti-cancer therapies, with small molecule WDR5 inhibitors and degraders undergoing extensive preclinical assessment. WDR5 inhibitors were originally conceived as epigenetic modulators, proposed to inhibit cancer cells by reversing oncogenic patterns of histone H3 lysine 4 methylation-a notion that persists to this day. This premise, however, does not withstand contemporary inspection and establishes expectations for the mechanisms and utility of WDR5 inhibitors that can likely never be met. Here, we highlight salient misconceptions regarding WDR5 inhibitors as epigenetic modulators and provide a unified model for their action as a ribosome-directed anti-cancer therapy that helps focus understanding of when and how the tumor-inhibiting properties of these agents can best be understood and exploited.
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Affiliation(s)
- April M. Weissmiller
- Department of Biology, Middle Tennessee State University, Murfreesboro, TN 32132, USA;
| | - Stephen W. Fesik
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA;
- Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
- Department of Chemistry, Vanderbilt University, Nashville, TN 37232, USA
| | - William P. Tansey
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA;
- Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
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11
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Wu C, Song Q, Gao S, Wu S. Targeting HDACs for diffuse large B-cell lymphoma therapy. Sci Rep 2024; 14:289. [PMID: 38168914 PMCID: PMC10762105 DOI: 10.1038/s41598-023-50956-x] [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: 10/05/2023] [Accepted: 12/28/2023] [Indexed: 01/05/2024] Open
Abstract
Histone deacetylases (HDACs) are involved in tumorigenesis and progression, however, their role in diffuse large B-cell lymphoma (DLBCL) is not well understood. In this study, we examined the expression levels, mutations, and clinical significance of HDACs in DLBCL. Additionally, we investigated the therapeutic potential of Chidamide, a novel HDAC inhibitor, to provide scientific evidence for targeting HDACs in DLBCL patients. We extracted transcriptome data of DLBCLs--including 47 lymph node samples and 337 whole-blood-cell controls--from The Cancer Genome Atlas. Bioinformatic analyses of HDAC expression, mutation, and correlation with the clinical significance of DLBCL patients were performed with the Gene Expression Profiling Interactive Analysis, GENEMANIA, and web-based software including cBioPortal and WebGestalt. To examine the therapeutic effect of Chidamide, DLBCL cell lines (WSU-DLCL-2 and DB cells) were employed. Cell proliferation and apoptosis were analyzed with Cell Counting Kit-8 and flow cytometry assays. The impact of Chidamide treatment was also analyzed by RNA sequencing of treated DB cells. Western blot was used to explore the molecular mechanism of the cytotoxicity of Chidamide on DLBCL cell lines. The expression of some HDACs (HDAC1, 2, 3, 4, 6, 7, 8, and 9) were significantly higher in the lymph node samples of DLBCL than that in whole-blood-cell controls. Moreover, we found that the mutation rate of HDACs was also higher in DLBCL tissues, although the overall survival of DLBCL patients was not associated with HDAC expression. Chidamide was found to have a cytotoxic effect on DLBCL cells in a dose-dependent manner, while transcriptome analysis and western blot revealed that using it for treatment impacted several biological processes, including PI3K/AKT signaling, mTOR signaling, the cell cycle, and apoptosis pathways. Alterations of HDAC genes, including enhanced expression and mutations, are positively related to DLBCL. Targeting HDACs with specific inhibitors such as Chidamide may represent a potential therapeutic approach for DLBCL patients.
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Affiliation(s)
- Chunyan Wu
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16 Jiangsu Road, Qingdao, 266003, Shandong, China
| | - Qiao Song
- Department of Hematology, People's Hospital of Jiyang District, Jiyang, 251400, Shandong, China
| | - Sophie Gao
- Hunter College High School, New York, USA
| | - Shaoling Wu
- Department of Hematology, The Affiliated Hospital of Qingdao University, No.16 Jiangsu Road, Qingdao, 266003, Shandong, China.
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12
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Forberg AL, Unrau J, Weber KS, Rutz AC, Lund S, Guidinger J, Pelzel A, Hauge J, Hemmen AJ, Hartert KT. Integrative analyses reveal outcome-associated and targetable molecular partnerships between TP53, BRD4, TNFRSF10B, and CDKN1A in diffuse large B-cell lymphoma. Ann Hematol 2024; 103:199-209. [PMID: 37792064 DOI: 10.1007/s00277-023-05478-x] [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: 05/22/2023] [Accepted: 09/23/2023] [Indexed: 10/05/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a common, genomically heterogenous disease that presents a clinical challenge despite the success of frontline regimens and second-line chimeric antigen receptor T-cell (CAR-T) therapy. Recently, genomic alterations and tumor microenvironment features associated with poor CAR-T response have been identified, namely those to the TP53 tumor suppressor gene. This retrospective analysis aimed to integrate various data to identify genomic partnerships capable of providing further clarity and actionable treatment targets within this population. Publicly available data were analyzed for differential expression based on TP53 and 24-month event-free survival (EFS24) status, revealing enrichments of the BRD4 bromodomain oncogene (p < 0.0001, p = 0.001). High-BRD4 and TP53 alterations were significantly associated with lower CDKN1A (p21) and TNFRSF10B (TRAIL-R2), a key tumor suppressor and CAR-T modulator, respectively. Significant loss of CD8 T-cell presence within low-TNFRSF0B (p = 0.0042) and altered-TP53 (p = 0.0424) patients showcased relevant outcome-associated tumor microenvironment features. Furthermore, reduced expression of CDKN1A was associated with low TNFRSF10B (FDR < 0.0001) and increased BRD4 interactant genes (FDR < 0.0001). Promisingly, in vitro MDM2 inhibition with Idasnutlin and TP53 reactivation via Eprenetapopt was able to renew TNFRSF10B protein expression. Additionally, applying the BRD4-degrading PROTAC ARV-825 and the CDK4/6 inhibitor Abemaciclib as single-agents and in synergistic combination significantly reduced TP53-altered DLBCL cell line viability. Our analysis presents key associations within a genomic network of actionable targets capable of providing clarity within the evolving precision CAR-T treatment landscape.
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Affiliation(s)
- Aidan L Forberg
- Department of Biological Sciences, Minnesota State University Mankato, Mankato, MN, 56001, USA
| | - Jordan Unrau
- Department of Biological Sciences, Minnesota State University Mankato, Mankato, MN, 56001, USA
| | - Kennedee S Weber
- Department of Biological Sciences, Minnesota State University Mankato, Mankato, MN, 56001, USA
| | - Alison C Rutz
- Department of Biological Sciences, Minnesota State University Mankato, Mankato, MN, 56001, USA
| | - Shelby Lund
- Department of Biological Sciences, Minnesota State University Mankato, Mankato, MN, 56001, USA
| | - Jinda Guidinger
- Department of Biological Sciences, Minnesota State University Mankato, Mankato, MN, 56001, USA
| | - Andrew Pelzel
- Department of Biological Sciences, Minnesota State University Mankato, Mankato, MN, 56001, USA
| | - Jackson Hauge
- Department of Biological Sciences, Minnesota State University Mankato, Mankato, MN, 56001, USA
| | - Ainslee J Hemmen
- Department of Biological Sciences, Minnesota State University Mankato, Mankato, MN, 56001, USA
| | - Keenan T Hartert
- Department of Biological Sciences, Minnesota State University Mankato, Mankato, MN, 56001, USA.
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13
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Ma W, Hong R, Lou P, Yao M, Wu S, Lin C, Wang C, Chang C, Cheng A, Kuo S. Improved outcomes of localized diffuse large B-cell lymphoma at the Waldeyer ring in comparison to the sinonasal area in the rituximab era. Cancer Med 2023; 13:e6851. [PMID: 38148602 PMCID: PMC10807621 DOI: 10.1002/cam4.6851] [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: 03/27/2023] [Revised: 11/28/2023] [Accepted: 12/10/2023] [Indexed: 12/28/2023] Open
Abstract
BACKGROUND Diffuse large B-cell lymphoma (DLBCL) of the head-and-neck area primarily involves the Waldeyer ring (WR) and sinonasal area (SN). However, the differential clinical outcomes between patients with WR-DLBCL and those with SN-DLBCL in the rituximab era remain unclear. METHODS To avoid confounding factors contributed by advanced DLBCL with WR and SN involvement, we assessed the clinical outcomes of patients with stage I/II WR-DLBCL and SN-DLBCL and compared them with those having corresponding stages of DLBCL in the lymph nodes but without other extranodal involvement (LN-DLBCL) in the same period. We compared the patients' clinical characteristics, treatment modalities, event-free survival (EFS), and overall survival (OS) among the three subgroups. RESULTS We analyzed 67, 15, and 106 patients with WR-DLBCL, SN-DLBCL, and LN-DLBCL, respectively, between January 2000 and December 2019. All patients received front-line rituximab-based regimens, and > 80% received rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisolone-based regimens. More patients with SN-DLBCL had revised International Prognostic Index (R-IPI) score 3 (27%) when compared with those with WR-DLBCL (7%) and those with LN-DLBCL (10%, p = 0.181). Patients with WR-DLBCL, LN-DLBCL, and SN-DLBCL had 5-year EFS and OS rates of 80.7%, 59.5%, and 41.9% (p = 0.021) and 83.7%, 70.8%, and 55.8% (p = 0.032), respectively. Compared to patients with LN-DLBCL, those with WR-DLBCL also had a significantly favorable 5-year EFS rate (p = 0.021) and 5-year OS rate (p = 0.023). Three of the 15 patients with SN-DLBCL experienced lymphoma recurrence in the brain after front-line treatment. In multivariate analyses, R-IPI scores of 1-2 and 3 served as significantly poor prognostic factors for patients with poor EFS and OS. CONCLUSIONS Compared to patients with LN-DLBCL, patients with WR-DLBCL receiving front-line rituximab-based treatments had favorable clinical outcomes; however, patients with SN-DLBCL had worse clinical outcomes. Further studies on molecular prognostic factors and treatment strategies for SN-DLBCL are warranted.
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Affiliation(s)
- Wei‐Li Ma
- Department of OncologyNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
- Cancer Research CenterNational Taiwan University College of MedicineTaipei CityTaiwan
- Graduate Institute of OncologyNational Taiwan University College of MedicineTaipei CityTaiwan
| | - Ruey‐long Hong
- Department of OncologyNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
- Department of Medical OncologyNational Taiwan University Cancer Center, National Taiwan University College of MedicineTaipei CityTaiwan
| | - Pei‐Jen Lou
- Department of OtolaryngologyNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
| | - Ming Yao
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
| | - Shang‐Ju Wu
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
| | - Chung‐Wu Lin
- Department of PathologyNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
- Department of Pathology and Laboratory MedicineKoo Foundation Sun Yat‐Sen Cancer CenterTaipei CityTaiwan
| | - Chun‐Wei Wang
- Department of OncologyNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
- Cancer Research CenterNational Taiwan University College of MedicineTaipei CityTaiwan
| | - Chin‐Hao Chang
- Department of Medical ResearchNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
| | - Ann‐Lii Cheng
- Department of OncologyNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
- Graduate Institute of OncologyNational Taiwan University College of MedicineTaipei CityTaiwan
- Department of Medical OncologyNational Taiwan University Cancer Center, National Taiwan University College of MedicineTaipei CityTaiwan
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
| | - Sung‐Hsin Kuo
- Department of OncologyNational Taiwan University Hospital and National Taiwan University College of MedicineTaipei CityTaiwan
- Cancer Research CenterNational Taiwan University College of MedicineTaipei CityTaiwan
- Graduate Institute of OncologyNational Taiwan University College of MedicineTaipei CityTaiwan
- Department of Radiation OncologyNational Taiwan University Cancer Center, National Taiwan University College of MedicineTaipei CityTaiwan
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14
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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: 0] [Impact Index Per Article: 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.
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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
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15
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Schnorenberg M, Hawley KM, Thomas-Toth AT, Watkins EA, Tian Y, Ting JM, Leak LB, Kucera IM, Raczy MM, Kung AL, Hubbell JA, Tirrell MV, LaBelle JL. Targeted Polymersome Delivery of a Stapled Peptide for Drugging the Tumor Protein p53:BCL-2-Family Axis in Diffuse Large B-Cell Lymphoma. ACS NANO 2023; 17:23374-23390. [PMID: 37688780 PMCID: PMC10722602 DOI: 10.1021/acsnano.3c04112] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 08/30/2023] [Indexed: 09/11/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) remains a formidable diagnosis in need of new treatment paradigms. In this work, we elucidated an opportunity for therapeutic synergy in DLBCL by reactivating tumor protein p53 with a stapled peptide, ATSP-7041, thereby priming cells for apoptosis and enhancing their sensitivity to BCL-2 family modulation with a BH3-mimetic, ABT-263 (navitoclax). While this combination was highly effective at activating apoptosis in DLBCL in vitro, it was highly toxic in vivo, resulting in a prohibitively narrow therapeutic window. We, therefore, developed a targeted nanomedicine delivery platform to maintain the therapeutic potency of this combination while minimizing its toxicity via packaging and targeted delivery of a stapled peptide. We developed a CD19-targeted polymersome using block copolymers of poly(ethylene glycol) disulfide linked to poly(propylene sulfide) (PEG-SS-PPS) for ATSP-7041 delivery into DLBCL cells. Intracellular delivery was optimized in vitro and validated in vivo by using an aggressive human DLBCL xenograft model. Targeted delivery of ATSP-7041 unlocked the ability to systemically cotreat with ABT-263, resulting in delayed tumor growth, prolonged survival, and no overt toxicity. This work demonstrates a proof-of-concept for antigen-specific targeting of polymersome nanomedicines, targeted delivery of a stapled peptide in vivo, and synergistic dual intrinsic apoptotic therapy against DLBCL via direct p53 reactivation and BCL-2 family modulation.
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Affiliation(s)
- Mathew
R. Schnorenberg
- Pritzker
School of Molecular Engineering, University
of Chicago, Chicago, Illinois 60637, United States
- Department
of Pediatrics, Section of Hematology/Oncology, University of Chicago, Chicago, Illinois 60637, United States
- Medical
Scientist Training Program, Pritzker School of Medicine, University of Chicago, Chicago, Illinois 60637, United States
| | - Katrina M. Hawley
- Department
of Pediatrics, Section of Hematology/Oncology, University of Chicago, Chicago, Illinois 60637, United States
| | - Anika T. Thomas-Toth
- Department
of Pediatrics, Section of Hematology/Oncology, University of Chicago, Chicago, Illinois 60637, United States
| | - Elyse A. Watkins
- Pritzker
School of Molecular Engineering, University
of Chicago, Chicago, Illinois 60637, United States
| | - Yu Tian
- Pritzker
School of Molecular Engineering, University
of Chicago, Chicago, Illinois 60637, United States
- Department
of Pediatrics, Section of Hematology/Oncology, University of Chicago, Chicago, Illinois 60637, United States
| | - Jeffrey M. Ting
- Pritzker
School of Molecular Engineering, University
of Chicago, Chicago, Illinois 60637, United States
| | - Logan B. Leak
- Department
of Pediatrics, Section of Hematology/Oncology, University of Chicago, Chicago, Illinois 60637, United States
| | - Isadora M. Kucera
- Pritzker
School of Molecular Engineering, University
of Chicago, Chicago, Illinois 60637, United States
- Department
of Pediatrics, Section of Hematology/Oncology, University of Chicago, Chicago, Illinois 60637, United States
| | - Michal M. Raczy
- Pritzker
School of Molecular Engineering, University
of Chicago, Chicago, Illinois 60637, United States
| | - Andrew L. Kung
- Department
of Pediatrics, Memorial Sloan Kettering
Cancer Center, New York, New York 10065, United States
| | - Jeffrey A. Hubbell
- Pritzker
School of Molecular Engineering, University
of Chicago, Chicago, Illinois 60637, United States
| | - Matthew V. Tirrell
- Pritzker
School of Molecular Engineering, University
of Chicago, Chicago, Illinois 60637, United States
| | - James L. LaBelle
- Department
of Pediatrics, Section of Hematology/Oncology, University of Chicago, Chicago, Illinois 60637, United States
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16
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Landsburg DJ, Morrissette JJD, Nasta SD, Barta SK, Schuster SJ, Svoboda J, Chong EA, Bagg A. TP53 mutations predict for poor outcomes in patients with newly diagnosed aggressive B-cell lymphomas in the current era. Blood Adv 2023; 7:7243-7253. [PMID: 37851898 PMCID: PMC10698538 DOI: 10.1182/bloodadvances.2023011384] [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: 08/04/2023] [Revised: 10/06/2023] [Accepted: 10/07/2023] [Indexed: 10/20/2023] Open
Abstract
Genetic subgroups of diffuse large B-cell lymphoma (DLBCL) have been identified through comprehensive genomic analysis; however, it is unclear whether this can be applied in clinical practice. We assessed whether mutations detected by clinical laboratory mutation analysis (CLMA) were predictive of outcomes in patients with newly diagnosed DLBCL/high-grade B-cell lymphoma (HGBL). Patients diagnosed from 2018 to 2022 whose biopsy samples were subjected to CLMA and who received rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone or rituximab plus etoposide, prednisolone, vincristine, cyclophosphamide, and doxorubicin were analyzed for overall/complete response rate (ORR/CRR) and estimated progression-free/overall survival (PFS/OS). CLMA was successfully performed in 117 of 122 patient samples (96%), with a median turnaround time of 17 days. Median duration of follow-up was 31.3 months. Of the mutations detected in ≥10% of the samples, only TP53 was associated with both progression and death at 2 years. TP53 mutations were detected in 36% of tumors, and patients with TP53 mutations experienced significantly lower ORR (71% vs 90%; P = .009), CRR (55% vs 77%; P = .01), 2-year PFS (57% vs 77%; P = .006), 2-year OS (70% vs 91%; P = .001), and median OS after relapse (6.1 months vs not yet reached; P = .001) as than those without TP53 mutations. Furthermore, patients with TP53 loss-of-function (LOF) mutations experienced lower rates of 2-year PFS/OS than those with non-LOF mutations and inferior or near-inferior 2-year PFS if harboring high-risk clinicopathologic features. TP53 mutations identified through CLMA can predict for inferior outcomes in patients with newly diagnosed DLBCL/HGBL. Results of CLMA can be used in real time to inform prognosis and/or identify candidates for clinical trials.
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Affiliation(s)
- Daniel J. Landsburg
- Lymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Jennifer JD Morrissette
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sunita D. Nasta
- Lymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Stefan K. Barta
- Lymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Stephen J. Schuster
- Lymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Jakub Svoboda
- Lymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Elise A. Chong
- Lymphoma Program, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA
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17
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Dai D, Wu H, Zhuang H, Chen R, Long C, Chen B. Genetic and clinical landscape of ER + /PR- breast cancer in China. BMC Cancer 2023; 23:1189. [PMID: 38049758 PMCID: PMC10696783 DOI: 10.1186/s12885-023-11643-2] [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: 04/10/2023] [Accepted: 11/15/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Estrogen receptor-positive and progesterone receptor-negative (ER + /PR-) breast cancer comprise a special type. More than 10% breast cancer patients belonged to ER + /PR-. METHODS In order to better understand this patient population, we utilized a unique dataset from China, examining the clinicopathological features and genomic profiles of ER + /PR- breast cancers. Our study involved three cohorts: Cohort 1 included 2120 unselected ER-positive female patients with re-evaluated clinicopathological and survival data; Cohort 2 comprised 442 ER-positive females who underwent genetic testing; and Cohort 3 consisted of 77 ER-positive/HER2-negative females tested with MammaPrint and BluePrint. RESULTS Patients were stratified into four categories based on the PR/ER ratio. Clinically, ER + /PR- tumors (PR/ER ratio = 0) showed the lowest proportion of T1 tumors (10.88%) and highest proportion of HER2-positive tumors (28.36%) than did other ER + /PR + tumors groups. The ER + /PR- group contained a higher number of underweight patients (20.20%). Independently of HER2 status, ER + /PR- patients demonstrated the poorest prognosis. Genomically, the most prevalent mutations were PIK3CA (50%) in ER + /PR + tumors and TP53 (65%) in ER + /PR- tumors. ER + /PR- tumors presented more frequent mutations in TP53, ERBB2, CDK12, SPEN, and NEB, with mutation rates of 65%, 42%, 27%, 13%, and 10%, respectively. Additionally, the Tumor Mutational Burden (TMB) was higher in the ER + /PR- group compared to the ER + /PR + group. The MammaPrint score for the ER + /PR-/HER2- group was significantly lower than that of other groups. In the BluePrint analysis, only four patients were classified as Basal-Type, all of whom were ER + /PR-/HER2-. CONCLUSIONS In this study, we identified the clinical and genetic characteristics of ER + /PR- breast cancer patients in China. Distinct PR statuses indicated different biological processes of ER + breast cancer and survival outcomes. Future treatment strategies may need to be tailored for ER + /PR- patients.
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Affiliation(s)
- Danian Dai
- Department of Plastic and Peripheral Vascular Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Hongmei Wu
- Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China
| | - Hongkai Zhuang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
| | - Rong Chen
- Department of Breast Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, Guangdong, China
| | - Cheng Long
- Department of Pathology, Yueyang Maternal Child Health-Care Hospital, Yueyang, 414000, Hunan, China
| | - Bo Chen
- Department of Breast Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
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18
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Kim PM, Nejati R, Lu P, Thakkar D, Mackrides N, Dupoux V, Nakhoda S, Baldwin DA, Pei J, Dave SS, Wang YL, Wasik MA. Leukemic presentation and progressive genomic alterations of MCD/C5 diffuse large B-cell lymphoma (DLBCL). Cold Spring Harb Mol Case Stud 2023; 9:a006283. [PMID: 37730436 PMCID: PMC10815299 DOI: 10.1101/mcs.a006283] [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: 03/01/2023] [Accepted: 06/30/2023] [Indexed: 09/22/2023] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a heterogenous group of lymphoid malignancies. Based on gene expression profiling, it has been subdivided into germinal center (GC)-derived and activated B-cell (ABC) types. Advances in molecular methodologies have further refined the subclassification of DLBCL, based on recurrent genetic abnormalities. Here, we describe a distinct case of DLBCL that presented in leukemic form. DNA sequencing targeting 275 genes revealed pathogenically relevant mutations of CD79B, MyD88, TP53, TBL1XR1, and PIM1 genes, indicating that this lymphoma would be best classified as MCD/C5 DLBCL, an ABC subtype. Despite an initial good clinical response to BTK inhibitor ibrutinib, anti-CD20 antibody rituxan, alkylating agent bendamustine, and hematopoietic stem-cell transplant, the lymphoma relapsed, accompanied by morphologic and molecular evidence of disease progression. Specifically, the recurrent tumor developed loss of TP53 heterozygosity (LOH) and additional chromosomal changes central to ABC DLBCL pathogenesis, such as PRDM1 loss. Acquired resistance to ibrutinib and rituxan was indicated by the emergence of BTK and FOXO1 mutations, respectively, as well as apparent activation of alternative cell-activation pathways, through copy-number alterations (CNAs), detected by high-resolution chromosomal microarrays. In vitro, studies of relapsed lymphoma cells confirmed resistance to standard BTK inhibitors but sensitivity to vecabrutinib, a noncovalent inhibitor active against both wild-type as well as mutated BTK. In summary, we provide in-depth molecular characterization of a de novo leukemic DLBCL and discuss mechanisms that may have contributed to the lymphoma establishment, progression, and development of drug resistance.
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Affiliation(s)
- Patricia M Kim
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, USA
- Penn State College of Medicine, Hershey, Pennsylvania 17033, USA
| | - Reza Nejati
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, USA
| | - Pin Lu
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, USA
| | | | - Nicholas Mackrides
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, USA
| | - Vanessa Dupoux
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, USA
| | - Shazia Nakhoda
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, USA
| | - Don A Baldwin
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, USA
| | - Jianming Pei
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, USA
| | - Sandeep S Dave
- Duke University, Durham, North Carolina 27708, USA
- Data Driven Bioscience, Durham, North Carolina 27707, USA
| | - Y Lynn Wang
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, USA
| | - Mariusz A Wasik
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, USA;
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19
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Johnson GA, Locke FL. Mechanisms of Resistance to Chimeric Antigen Receptor T Cell Therapy. Hematol Oncol Clin North Am 2023; 37:1189-1199. [PMID: 37580193 DOI: 10.1016/j.hoc.2023.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Abstract
CAR T cell therapy has significantly shaped the treatment landscape for refractory hematologic malignancies including large B-cell lymphomas, multiple myeloma, and leukemias. While response rates for a previously dismal prognosis have improved, certain obstacles still remain to achieving CAR T infallibility. In this article, we review the data surrounding proposed resistance mechanisms of tumors to CAR T, including the implications of target loss, exhausted T cells as effete effectors, the necessity of maximal CAR T expansion to durable response, the negative impact of an inflammatory milieu and a suppressive tumor microenvironment, and the optimal tumor-to-effector ratio that associates with best outcomes. The future of CAR T should aim to mitigate these weaknesses in order to bolster the efficacy of this revolutionary therapy.
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Affiliation(s)
- Grace A Johnson
- University of South Florida Morsani College of Medicine, 560 Channelside Drive, Tampa, FL 336022, USA
| | - Frederick L Locke
- H. Lee Moffitt Cancer Center, Department of Blood and Marrow Transplant and Cellular Immunotherapy, 12902 USF Magnolia Drive, Suite 3057, Tampa, FL 33612, USA.
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20
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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.
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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
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21
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Deng M, Tan J, Fan Z, Pham LV, Zhu F, Fang X, Zhao H, Young K, Xu B. The synergy of the XPO1 inhibitors combined with the BET inhibitor INCB057643 in high-grade B-cell lymphoma via downregulation of MYC expression. Sci Rep 2023; 13:18554. [PMID: 37899423 PMCID: PMC10613613 DOI: 10.1038/s41598-023-45721-z] [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: 06/11/2023] [Accepted: 10/23/2023] [Indexed: 10/31/2023] Open
Abstract
High grade B-cell lymphoma with MYC and BCL2 rearrangements (HGBCL-DH) represents an uncommon B-cell lymphoma (BCL) with aggressive clinical courses and poor prognosis. Despite revolutionary therapeutic advances in BCL, there has been limited treatment progress in HGBCL-DH, thus necessitating additional therapeutic strategies for HGBCL-DH. This study demonstrated that the BET antagonist INCB057643 synergized with the XPO1 inhibitors (selinexor and eltanexor) to decrease cell viability and increase cell apoptosis in HGBCL-DH cells with or without TP53 mutations. As anticipated, the combined treatment of INCB057643 with selinexor slowed tumor growth and reduced the tumor burden in TP53-mutated HGBCL-DH xenografts. Mechanistically, MYC functional inhibition was a potential molecular mechanism underlying the synergy of the combined INCB057643 and selinexor treatment in HGBCL-DH cells independent of TP53 mutation status. In TP53 mutated HGBCL-DH cells, inducing DNA damage and impairing the DNA damage response (DDR) were involved in the therapeutic interaction of the combined regimen. In TP53 wild-type cells, the molecular mechanism was linked with upregulation of p53 levels and activation of its targeted pathways, rather than dysregulation of the DDR. Collectively, we might provide a potential promising combination therapy regimen for the management of HGBCL-DH. Clinical evaluations are warranted to confirm this conclusion.
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Affiliation(s)
- Manman Deng
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, China
- Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361102, China
| | - Jinshui Tan
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, China
- Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361102, China
| | - Ziying Fan
- Department of Hematology, Dongguan People's Hospital, Dongguan, 523000, China
| | - Lan V Pham
- Phamacyclics, an Abbvie Company, San Francisco, CA, USA
| | - Feng Zhu
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiaosheng Fang
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Haijun Zhao
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, China.
- Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361102, China.
- Department of Hematology, the First Affiliated Hospital of Xiamen University and Institute of Hematology, Medical College of Xiamen University, No.55, Zhenhai Road, Siming District, Xiamen, 361003, Fujian, China.
| | - Kenh Young
- Division of Hematopathology and Department of Pathology, Duke University Medical Center, Durham, NC, USA.
| | - Bing Xu
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, China.
- Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, 361102, China.
- Department of Hematology, the First Affiliated Hospital of Xiamen University and Institute of Hematology, Medical College of Xiamen University, No.55, Zhenhai Road, Siming District, Xiamen, 361003, Fujian, China.
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22
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Li X, Luo D, Zhang L, Li Q, Fan J, Zhang J, Huang B, Yang M, Nie X, Chang X, Pan H. Accurate interpretation of p53 immunohistochemical patterns is a surrogate biomarker for TP53 alterations in large B-cell lymphoma. BMC Cancer 2023; 23:1008. [PMID: 37858047 PMCID: PMC10588220 DOI: 10.1186/s12885-023-11513-x] [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: 06/21/2023] [Accepted: 10/10/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND To clarify the relationship between p53 immunohistochemistry (IHC) staining and TP53 alterations (including mutations and deletions) in large B-cell lymphomas (LBCLs) and to explore the possibility of p53 IHC expression patterns as surrogate markers for TP53 alterations. METHODS A total of 95 patients diagnosed with LBCLs were selected, and paraffin samples were taken for TP53 gene sequencing, fluorescence in situ hybridization and p53 IHC staining. The results were interpreted by experienced pathologists and molecular pathologists. RESULTS Forty-three nonsynonymous TP53 mutations and p53 deletions were detected in 40 cases, whereas the remaining 55 cases had wild-type TP53 genes. The majority of TP53 mutations (34/43, 79.1%) occurred in exons 4-8, and R248Q was the most common mutation codon (4/43, 9.3%). The highest frequency single nucleotide variant was C > T (43.6%). p53 expression was interpreted as follows: Pattern A: p53 staining was positive in 0%-3% of tumor cells, Pattern B: p53 staining was positive in 4-65% of tumor cells, Pattern C: more than 65% of tumor cells were stained positive for p53. The p53 IHC expression patterns were associated with TP53 alterations. Gain of function variants and wild-type TP53 tended to exhibit type C and B p53 expression patterns, but loss of function variants were exclusively seen in type A cases. Additionally, interpretation of the staining by various observers produced significant reproducibility. CONCLUSIONS The p53 IHC expression patterns can be used to predict TP53 alterations and are reliable for diverse alteration types, making them possible surrogate biomarkers for TP53 alterations in LBCLs.
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Affiliation(s)
- Xinyi Li
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Danju Luo
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Liling Zhang
- Cancer Center, Union Hospital, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Qiuhui Li
- Cancer Center, Union Hospital, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jun Fan
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jiwei Zhang
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Bo Huang
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Ming Yang
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiu Nie
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiaona Chang
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Huaxiong Pan
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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23
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de Haan LM, de Groen RAL, de Groot FA, Noordenbos T, van Wezel T, van Eijk R, Ruano D, Diepstra A, Koens L, Nicolae-Cristea A, Hartog WCED, Terpstra V, Ahsmann E, Dekker TJA, Sijs-Szabo A, Veelken H, Cleven AHG, Jansen PM, Vermaat JSP. Real-world routine diagnostic molecular analysis for TP53 mutational status is recommended over p53 immunohistochemistry in B-cell lymphomas. Virchows Arch 2023:10.1007/s00428-023-03676-6. [PMID: 37851120 DOI: 10.1007/s00428-023-03676-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/20/2023] [Accepted: 10/04/2023] [Indexed: 10/19/2023]
Abstract
Previous studies in patients with mature B-cell lymphomas (MBCL) have shown that pathogenic TP53 aberrations are associated with inferior chemotherapeutic efficacy and survival outcomes. In solid malignancies, p53 immunohistochemistry is commonly used as a surrogate marker to assess TP53 mutations, but this correlation is not yet well-established in lymphomas. This study evaluated the accuracy of p53 immunohistochemistry as a surrogate marker for TP53 mutational analysis in a large real-world patient cohort of 354 MBCL patients within routine diagnostic practice. For each case, p53 IHC was assigned to one of three categories: wild type (staining 1-50% of tumor cells with variable nuclear staining), abnormal complete absence or abnormal overexpression (strong and diffuse staining > 50% of tumor cells). Pathogenic variants of TP53 were identified with a targeted next generation sequencing (tNGS) panel. Wild type p53 expression was observed in 267 cases (75.4%), complete absence in twenty cases (5.7%) and the overexpression pattern in 67 cases (18.9%). tNGS identified a pathogenic TP53 mutation in 102 patients (29%). The overall accuracy of p53 IHC was 84.5% (95% CI 80.3-88.1), with a robust specificity of 92.1% (95% CI 88.0- 95.1), but a low sensitivity of 65.7% (95% CI 55.7-74.8). These results suggest that the performance of p53 IHC is insufficient as a surrogate marker for TP53 mutations in our real-world routine diagnostic workup of MBCL patients. By using p53 immunohistochemistry alone, there is a significant risk a TP53 mutation will be missed, resulting in misevaluation of a high-risk patient. Therefore, molecular analysis is recommended in all MBCL patients, especially for further development of risk-directed therapies based on TP53 mutation status.
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Affiliation(s)
- Lorraine M de Haan
- Department of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands.
| | - Ruben A L de Groen
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Fleur A de Groot
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Troy Noordenbos
- Department of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands
| | - Tom van Wezel
- Department of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands
| | - Ronald van Eijk
- Department of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands
| | - Dina Ruano
- Department of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands
| | - Arjan Diepstra
- Department of Pathology, University Medical Center Groningen, Groningen, The Netherlands
| | - Lianne Koens
- Department of Pathology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | | | | | - Valeska Terpstra
- Department of Pathology, Haaglanden Medical Centrum, The Hague, The Netherlands
| | - Els Ahsmann
- Department of Pathology, Groene Hart Ziekenhuis, Gouda, The Netherlands
| | - Tim J A Dekker
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Aniko Sijs-Szabo
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Hendrik Veelken
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Arjen H G Cleven
- Department of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands
- Department of Pathology, University Medical Center Groningen, Groningen, The Netherlands
| | - Patty M Jansen
- Department of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands
| | - Joost S P Vermaat
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
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24
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Fang Y, Zhang MC, He Y, Li C, Fang H, Xu PP, Cheng S, Zhao Y, Feng Y, Liu Q, Wang L, Zhao WL. Human endogenous retroviruses as epigenetic therapeutic targets in TP53-mutated diffuse large B-cell lymphoma. Signal Transduct Target Ther 2023; 8:381. [PMID: 37798292 PMCID: PMC10556001 DOI: 10.1038/s41392-023-01626-x] [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: 03/09/2023] [Revised: 08/13/2023] [Accepted: 08/21/2023] [Indexed: 10/07/2023] Open
Abstract
TP53 mutation (TP53mut) occurs in 10-20% of diffuse large B-cell lymphoma (DLBCL) cases and serves as an unfavorable biomarker of DLBCL progression. It confers resistance to immunochemotherapy, high-dose chemotherapy, autologous stem cell transplantation, and anti-CD19 chimeric antigen receptor T-cell therapy. Therapeutic targeting of TP53mut remains a significant challenge in DLBCL treatment. Here we assessed TP53mut in 667 patients with newly diagnosed DLBCL, including 576 patients treated with immunochemotherapy rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) and 91 patients with decitabine plus R-CHOP (DR-CHOP, NCT02951728 and NCT04025593). TP53mut independently predicted an inferior prognosis in R-CHOP-treated DLBCL, although this could be mitigated by DR-CHOP treatment. In TP53mut patients, multiple viral regulation pathways were repressed, resulting in the inhibition of immune modulation, as revealed by gene set enrichment analysis. TP53mut DLBCL exhibited increased methyltransferase SUV39H1 expression and H3K9 trimethylation (H3K9me3), contributing to repression of endogenous retroviruses (ERVs) and immunosuppressive tumor microenvironment. In TP53mut DLBCL cell lines, decitabine down-regulated SUV39H1, inhibited H3K9me3 occupancy on ERVs, and triggered ERV expression, thereby unleashing interferons program and CD4+T/CD8+T cell activation. Molecular silencing of SUV39H1 significantly abrogated decitabine-induced H3K9me3 inhibition and ERV expression. In TP53mut patient-derived xenograft models and TP53mut patients, the anti-tumor effect was improved upon the use of combined treatment of decitabine and doxorubicin via SUV39H1-H3K9me3-ERVs axis. Collectively, our findings highlight an ERV regulatory circuitry in TP53mut DLBCL and the crucial roles ERVs for epigenetically reprogramming tumor microenvironment for treating TP53mut-driven cancers.
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Grants
- National Key R&D Program of China (2022YFC2502600), Chang Jiang Scholars Program, Shanghai Commission of Science and Technology (17PJ1405800), Shanghai Municipal Education Commission Gaofeng Clinical Medicine Grant Support (20152206, 20152208, and 20171902), Clinical Research Plan of Shanghai hospital development center (SHDC, 2020CR1032B), Multicenter Clinical Research Project by Shanghai Jiao Tong University School of Medicine (DLY201601), Samuel Waxman Cancer Research Foundation, and the Foundation of National Facility for Translational Medicine (Shanghai, TMSK-2020-115).
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Affiliation(s)
- Ying Fang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mu-Chen Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yang He
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chen Li
- Network and Information Center, Shanghai Jiao Tong University, Shanghai, China
| | - Hai Fang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng-Peng Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shu Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Feng
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Qian Liu
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Li Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Wei-Li Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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25
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Lv L, Qi X, Wang C, Ma Y, Nie Y, Abulaiti R, Zhang F, Shi Q, Kou Z, Abuduer M, Zhai S, An L, Huang Q, Gu Z, Ou Q, Liu H, Wang Z, Shao Y, Sun Z, Fu L, Wang X, Mao M, Li Y. Identification of FAT4 as a positive prognostic biomarker in DLBCL by comprehensive genomic analysis. Clin Exp Med 2023; 23:2675-2685. [PMID: 36811800 PMCID: PMC10543145 DOI: 10.1007/s10238-023-01018-z] [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: 10/21/2022] [Accepted: 01/31/2023] [Indexed: 02/24/2023]
Abstract
The molecular landscapes of diffuse large B-cell lymphoma (DLBCL) remained to be comprehensively investigated with an urgent need to identify novel prognostic biomarkers guiding prognostic stratification and disease monitoring. Baseline tumor samples of 148 DLBCL patients were analyzed using targeted next-generation sequencing (NGS) for mutational profiling, whose clinical reports were retrospectively reviewed. In this cohort, the subgroup of old DLBCL patients (age at diagnosis > 60, N = 80) exhibited significantly higher Eastern Cooperative Oncology Group scores and International Prognostic Index than their young counterparts (age at diagnosis ≤ 60, N = 68). As revealed by the NGS results, PIM1 (43.9%), KMT2D (31.8%), MYD88 (29.7%), and CD79B (27.0%) were identified as the most frequently mutated genes. Aberrations of genes of the immune escape pathway were significantly enriched in the young subgroup, while the altered epigenetic regulators were more abundant in the old patients. FAT4 mutation was identified as a positive prognostic biomarker, associated with longer progression-free survival and overall survival in the entire cohort and the old subgroup, using the Cox regression analyses. However, the prognostic function of FAT4 was not reproduced in the young subgroup. We comprehensively analyzed the pathological and molecular characteristics of old and young DLBCL patients and demonstrated the prognostic value of FAT4 mutation, which requires further validation with sizable cohorts in future research.
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Affiliation(s)
- Liyang Lv
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Xiaolong Qi
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Chun Wang
- Department of Pathology, The People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, China
| | - Yutong Ma
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210000, China
| | - Yuling Nie
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Renaguli Abulaiti
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Fang Zhang
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Qiping Shi
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210000, China
| | - Zhen Kou
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Muhebaier Abuduer
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Shunsheng Zhai
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Li An
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Qin Huang
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Zailinuer Gu
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Qiuxiang Ou
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210000, China
| | - Hong Liu
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Zengsheng Wang
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Yang Shao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210000, China
- School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Zhenzhu Sun
- Department of Pathology, The People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, China
| | - Ling Fu
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Xiaomin Wang
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Min Mao
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China
| | - Yan Li
- Department of Hematology, The People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tianchi Road, Urumqi, 830001, Uygur Autonomous Region, China.
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26
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Chung EYL, Sartori G, Ponzoni M, Cascione L, Priebe V, Xu-Monette ZY, Fang X, Zhang M, Visco C, Tzankov A, Rinaldi A, Sgrignani J, Zucca E, Rossi D, Cavalli A, Inghirami G, Scott DW, Young KH, Bertoni F. ETS1 phosphorylation at threonine 38 is associated with the cell of origin of diffuse large B cell lymphoma and sustains the growth of tumour cells. Br J Haematol 2023; 203:244-254. [PMID: 37584198 DOI: 10.1111/bjh.19018] [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: 12/12/2022] [Revised: 07/19/2023] [Accepted: 07/24/2023] [Indexed: 08/17/2023]
Abstract
The transcriptional factor ETS1 is upregulated in 25% of diffuse large B cell lymphoma (DLBCL). Here, we studied the role of ETS1 phosphorylation at threonine 38, a marker for ETS1 activation, in DLBCL cellular models and clinical specimens. p-ETS1 was detected in activated B cell-like DLBCL (ABC), not in germinal centre B-cell-like DLBCL (GCB) cell lines and, accordingly, it was more common in ABC than GCB DLBCL diagnostic biopsies. MEK inhibition decreased both baseline and IgM stimulation-induced p-ETS1 levels. Genetic inhibition of phosphorylation of ETS1 at threonine 38 affected the growth and the BCR-mediated transcriptome program in DLBCL cell lines. Our data demonstrate that ETS1 phosphorylation at threonine 38 is important for the growth of DLBCL cells and its pharmacological inhibition could benefit lymphoma patients.
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Affiliation(s)
- Elaine Y L Chung
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | - Giulio Sartori
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | - Maurilio Ponzoni
- IRCCS San Raffaele Hospital Scientific Institute, Vita Salute San Raffaele University, Milan, Italy
| | - Luciano Cascione
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Valdemar Priebe
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | | | - Xiaosheng Fang
- Duke University Medical Center, Durham, North Carolina, USA
| | - Mingzhi Zhang
- Duke University Medical Center, Durham, North Carolina, USA
| | - Carlo Visco
- Section of Hematology, Department of Medicine, University of Verona, Verona, Italy
| | - Alexandar Tzankov
- Pathology, Institute of Medical Genetics and Pathology, University Hospital, Basel, Switzerland
| | - Andrea Rinaldi
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
| | - Jacopo Sgrignani
- Faculty of Biomedical Sciences, Institute for Research in Biomedicine, USI, Bellinzona, Switzerland
| | - Emanuele Zucca
- Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
| | - Davide Rossi
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
- Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
| | - Andrea Cavalli
- Faculty of Biomedical Sciences, Institute for Research in Biomedicine, USI, Bellinzona, Switzerland
| | - Giorgio Inghirami
- Pathology and Laboratory Medicine Department, Weill Cornell Medicine, New York, New York, USA
| | - David W Scott
- Centre for Lymphoid Cancer, BC Cancer, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ken H Young
- Duke University Medical Center, Durham, North Carolina, USA
| | - Francesco Bertoni
- Institute of Oncology Research, Faculty of Biomedical Sciences, USI, Bellinzona, Switzerland
- Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
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27
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Lou N, Wang G, Wang Y, Xu M, Zhou Y, Tan Q, Zhong Q, Zhang L, Zhang X, Liu S, Luo R, Wang S, Tang L, Yao J, Zhang Z, Shi Y, Yu X, Han X. Proteomics Identifies Circulating TIMP-1 as a Prognostic Biomarker for Diffuse Large B-Cell Lymphoma. Mol Cell Proteomics 2023; 22:100625. [PMID: 37500057 PMCID: PMC10470290 DOI: 10.1016/j.mcpro.2023.100625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 06/24/2023] [Accepted: 07/24/2023] [Indexed: 07/29/2023] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease, although disease stratification using in-depth plasma proteomics has not been performed to date. By measuring more than 1000 proteins in the plasma of 147 DLBCL patients using data-independent acquisition mass spectrometry and antibody array, DLBCL patients were classified into four proteomic subtypes (PS-I-IV). Patients with the PS-IV subtype and worst prognosis had increased levels of proteins involved in inflammation, including a high expression of metalloproteinase inhibitor-1 (TIMP-1) that was associated with poor survival across two validation cohorts (n = 180). Notably, the combination of TIMP-1 with the international prognostic index (IPI) identified 64.00% to 88.24% of relapsed and 65.00% to 80.49% of deceased patients in the discovery and two validation cohorts, which represents a 24.00% to 41.67% and 20.00% to 31.70% improvement compared to the IPI score alone, respectively. Taken together, we demonstrate that DLBCL heterogeneity is reflected in the plasma proteome and that TIMP-1, together with the IPI, could improve the prognostic stratification of patients.
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Affiliation(s)
- Ning Lou
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Guibin Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Yanrong Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Meng Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Yu Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Qiaoyun Tan
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Qiaofeng Zhong
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Lei Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Xiaomei Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Shuxia Liu
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Rongrong Luo
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Shasha Wang
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Le Tang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Jiarui Yao
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Zhishang Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Yuankai Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China.
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
| | - Xiaohong Han
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Clinical PK & PD Investigation for Innovative Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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28
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Hersby DS, Schejbel L, Breinholt MF, Høgdall E, Nørgaard P, Dencker D, Nielsen TH, Pedersen LM, Gang AO. Multi-site pre-therapeutic biopsies demonstrate genetic heterogeneity in patients with newly diagnosed diffuse large B-cell lymphoma. Leuk Lymphoma 2023; 64:1527-1535. [PMID: 37328933 DOI: 10.1080/10428194.2023.2220454] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/23/2023] [Accepted: 05/26/2023] [Indexed: 06/18/2023]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease, both regarding clinical presentation, response to treatment and outcome. Recently, subclassification of DLBCL based on mutational profile has been suggested, and next generation sequencing (NGS) analysis may be relevant as part of the diagnostic workflow. This will, however, often be based on analysis of one tumor biopsy. Here, we present a prospective study where multi-site sampling was performed prior to treatment in patients with newly diagnosed DLBCL. Two spatially different biopsies from 16 patients were analyzed using NGS with an in-house 59-gene lymphoma panel. In 8/16 (50%) patients, mutational differences were found between the two biopsy sites, including differences in TP53 mutational status. Our data indicate that a biopsy from the extra-nodal site may represent the most advanced clone, and an extra-nodal biopsy should be preferred for analysis, if safely accessible. This will help ensure a standardized stratification and treatment decision.
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Affiliation(s)
| | - Lone Schejbel
- Department of Pathology, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark
| | | | - Estrid Høgdall
- Department of Pathology, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Peter Nørgaard
- Department of Pathology, Hvidovre Hospitalet, Hvidovre, Denmark
| | - Ditte Dencker
- Department of Radiology, Rigshospitalet, Copenhagen, Denmark
| | - Torsten Holm Nielsen
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Danish Medicines Agency, Copenhagen, Denmark
| | - Lars Møller Pedersen
- Department of Hematology, Zealand Hospital, Roskilde, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Anne Ortved Gang
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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29
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Sung HJ, Kim D, Yoon DH, Cho H, Huh J, Suh CW, Go H. Clinicopathologic and genetic features of the starry-sky pattern in double-expressor diffuse large B-cell lymphoma. Hum Pathol 2023; 139:106-116. [PMID: 37517597 DOI: 10.1016/j.humpath.2023.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/24/2023] [Accepted: 07/24/2023] [Indexed: 08/01/2023]
Abstract
Double expressor lymphoma (DEL) is a subset of diffuse large B-cell lymphoma (DLBCL) characterized by the co-expression of MYC and BCL2 proteins with a poor prognosis. However, there are no standard criteria for evaluating the morphologic features of DEL. We aimed to analyze the prognostic value of the starry-sky pattern (SSP) and its correlation with clinicopathologic and genetic features in 153 DEL cases. The SSP was significantly associated with aggressive parameters, including c-MYC overexpression, CD5 expression, higher IPI, and age-adjusted IPI. In the univariate survival analyses, the presence of SSP was associated with unfavorable progression-free survival (PFS) (p = 0.040), and tended towards an adverse overall survival (OS) (p = 0.061). However, when c-MYC was overexpressed, SSP was significantly correlated with inferior OS (p = 0.019). In the multivariate survival analysis, SSP was also associated with poor PFS (p = 0.048). Additionally, next-generation sequencing data revealed SSP was significantly associated with the KMT2D mutation and had different genetic mutation profiles from non-SSP. In conclusion, SSP may represent morphologic characteristics of aggressiveness in DEL.
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Affiliation(s)
- Hyun-Jung Sung
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea
| | - Deokhoon Kim
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea
| | - Dok-Hyun Yoon
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea
| | - Hyungwoo Cho
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea
| | - Jooryung Huh
- Department of Pathology, Green Cross Laboratories, Yongin, Gyeonggi, 16924, South Korea
| | - Cheol-Won Suh
- Department of Pathology, Green Cross Laboratories, Yongin, Gyeonggi, 16924, South Korea
| | - Heounjeong Go
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, South Korea.
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30
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Liu C, Shi P, Li Z, Li B, Li Z. A nomogram for predicting the rapid progression of diffuse large B-cell lymphoma established by combining baseline PET/CT total metabolic tumor volume, lesion diffusion, and TP53 mutations. Cancer Med 2023; 12:16734-16743. [PMID: 37366281 PMCID: PMC10501242 DOI: 10.1002/cam4.6295] [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: 03/27/2023] [Revised: 06/16/2023] [Accepted: 06/18/2023] [Indexed: 06/28/2023] Open
Abstract
OBJECTIVES This study aimed to integrate positron emission tomography/computed tomography (PET/CT) metrics and genetic mutations to optimize the risk stratification for diffuse large B-cell lymphoma (DLBCL) patients. METHODS The data of 94 primary DLBCL patients with baseline PET/CT examination completed in the Shandong Cancer Hospital and Institute (Jinan, China) were analyzed to establish a training cohort. An independent cohort of 45 DLBCL patients with baseline PET/CT examination from other hospitals was established for external validation. The baseline total metabolic tumor volume (TMTV) and the largest distance between two lesions (Dmax) standardized by patient body surface area (SDmax) were calculated. The pretreatment pathological tissues of all patients were sequenced by a lymphopanel including 43 genes. RESULTS The optimal TMTV cutoff was 285.3 cm3 and the optimal SDmax cutoff was 0.135 m-1 . TP53 status was found as an independent predictive factor significantly affecting complete remission (p = 0.001). TMTV, SDmax, and TP53 status were the main factors of the nomogram and could stratify the patients into four distinct subgroups based on their predicted progression-free survival (PFS). The calibration curve demonstrated satisfactory agreement between the predicted and actual 1-year PFS of the patients. The receiver operating characteristic curves showed this nomogram based on PET/CT metrics and TP53 mutations had a better predictive ability than the clinic risk scores. Similar results were identified upon external validation. CONCLUSIONS The nomogram based on imaging factors and TP53 mutations could lead to a more accurate selection of DLBCL patients with rapid progression, to increase tailor therapy.
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Affiliation(s)
- Cong Liu
- National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for CancerTianjin Medical University Cancer Institute and HospitalTianjinChina
- Department of Radiation OncologyTianjin Medical UniversityTianjinChina
- Department of Internal Medicine‐Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanShandongChina
| | - Pengyue Shi
- Department of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanShandongChina
| | - Zhenjiang Li
- Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanShandongChina
| | - Baosheng Li
- National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for CancerTianjin Medical University Cancer Institute and HospitalTianjinChina
- Department of Radiation OncologyTianjin Medical UniversityTianjinChina
- Department of Radiation Oncology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanShandongChina
| | - Zengjun Li
- Department of Hematology, Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanShandongChina
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Shi Q, He Y, Yi H, Mu R, Jiang X, Fu D, Dong L, Qin W, Xu P, Cheng S, Song Q, Chen S, Wang L, Zhao W. Positron emission tomography-adapted therapy in low-risk diffuse large B-cell lymphoma: results of a randomized, phase III, non-inferiority trial. Cancer Commun (Lond) 2023; 43:896-908. [PMID: 37403255 PMCID: PMC10397561 DOI: 10.1002/cac2.12462] [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: 12/11/2022] [Revised: 05/17/2023] [Accepted: 06/27/2023] [Indexed: 07/06/2023] Open
Abstract
BACKGROUND The current standard of care for non-bulky diffuse large B-cell lymphoma (DLBCL) patients with an International Prognostic Index (IPI) of 0 is four cycles of rituximab plus cyclophosphamide, doxorubicin, vincristine and prednisone (R-CHOP) but whether the same efficacy can be achieved with reduced chemotherapy regimen of four cycles for non-bulky DLBCL patients with an IPI of 1 remains unclear. This study compared four cycles versus six cycles of chemotherapy in non-bulky low-risk DLBCL patients with negative interim positron emission tomography with computed tomography (PET-CT, Deauville 1-3), irrespective of age and other IPI risk factors (IPI 0-1). METHODS This was an open-label, randomized, phase III, non-inferiority trial. Patients aged 14-75 years with newly diagnosed low-risk DLBCL, according to IPI, achieving PET-CT confirmed complete response (CR) after four cycles of R-CHOP were randomized (1:1) between four cycles of rituximab (4R-CHOP+4R arm) or two cycles of R-CHOP plus two cycles of rituximab (6R-CHOP+2R arm). The primary endpoint was 2-year progression-free survival (PFS), conducted in the intention-to-treat population. Safety was assessed in patients with at least one cycle of assigned treatment. The non-inferiority margin was -8%. RESULTS A total of 287 patients were included in the intention-to-treat analysis, the median follow-up was 47.3 months, and the 2-year PFS rate was 95% (95% confidence interval [CI], 92% to 99%) and 94% (95% CI, 91% to 98%) for the 4R-CHOP+4R and 6R-CHOP+2R arm. The absolute difference in 2-year PFS between the two arms was 1% (95% CI, -5% to 7%), supporting the non-inferiority of 4R-CHOP+4R. Grade 3-4 neutropenia was lower in the last four cycles of rituximab alone in the 4R-CHOP+4R arm (16.7% versus 76.9%), with decreased risk of febrile neutropenia (0.0% versus 8.4%) and infection (2.1% versus 14.0%). CONCLUSIONS For newly diagnosed low-risk DLBCL patients, interim PET-CT after four cycles of R-CHOP was effective in identifying patients with Deauville 1-3 who would have a good response and Deauville 4-5 patients who might have high-risk biological features or develop resistance. Reducing the standard six cycles to four cycles of chemotherapy had comparable clinical efficacy and fewer adverse events in low-risk, non-bulky DLBCL with interim PET-CT confirmed CR.
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Affiliation(s)
- Qing Shi
- State Key Laboratory of Medical GenomicsNational Research Center for Translational Medicine at ShanghaiShanghai Institute of HematologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Yang He
- State Key Laboratory of Medical GenomicsNational Research Center for Translational Medicine at ShanghaiShanghai Institute of HematologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Hong‐Mei Yi
- Department of PathologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Rong‐Ji Mu
- Clinical Research InstituteShanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Xu‐Feng Jiang
- Department of Nuclear MedicineRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Di Fu
- State Key Laboratory of Medical GenomicsNational Research Center for Translational Medicine at ShanghaiShanghai Institute of HematologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Lei Dong
- Department of PathologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Wei Qin
- State Key Laboratory of Medical GenomicsNational Research Center for Translational Medicine at ShanghaiShanghai Institute of HematologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Peng‐Peng Xu
- State Key Laboratory of Medical GenomicsNational Research Center for Translational Medicine at ShanghaiShanghai Institute of HematologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Shu Cheng
- State Key Laboratory of Medical GenomicsNational Research Center for Translational Medicine at ShanghaiShanghai Institute of HematologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Qi Song
- Department of RadiologyRuijin Hospital affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
| | - Sai‐Juan Chen
- State Key Laboratory of Medical GenomicsNational Research Center for Translational Medicine at ShanghaiShanghai Institute of HematologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
- Laboratory of Molecular PathologyPôle de Recherches Sino‐Français en Science du Vivant et GénomiqueShanghaiChina
| | - Li Wang
- State Key Laboratory of Medical GenomicsNational Research Center for Translational Medicine at ShanghaiShanghai Institute of HematologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
- Laboratory of Molecular PathologyPôle de Recherches Sino‐Français en Science du Vivant et GénomiqueShanghaiChina
| | - Wei‐Li Zhao
- State Key Laboratory of Medical GenomicsNational Research Center for Translational Medicine at ShanghaiShanghai Institute of HematologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
- Laboratory of Molecular PathologyPôle de Recherches Sino‐Français en Science du Vivant et GénomiqueShanghaiChina
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Berta D, Girma M, Melku M, Adane T, Birke B, Yalew A. Role of RNA Splicing Mutations in Diffuse Large B Cell Lymphoma. Int J Gen Med 2023; 16:2469-2480. [PMID: 37342407 PMCID: PMC10278864 DOI: 10.2147/ijgm.s414106] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 06/08/2023] [Indexed: 06/22/2023] Open
Abstract
Ribonucleic acid splicing is a crucial process to create a mature mRNA molecule by removing introns and ligating exons. This is a highly regulated process, but any alteration in splicing factors, splicing sites, or auxiliary components affects the final products of the gene. In diffuse large B-cell lymphoma, splicing mutations such as mutant splice sites, aberrant alternative splicing, exon skipping, and intron retention are detected. The alteration affects tumor suppression, DNA repair, cell cycle, cell differentiation, cell proliferation, and apoptosis. As a result, malignant transformation, cancer progression, and metastasis occurred in B cells at the germinal center. B-cell lymphoma 7 protein family member A (BCL7A), cluster of differentiation 79B (CD79B), myeloid differentiation primary response gene 88 (MYD88), tumor protein P53 (TP53), signal transducer and activator of transcription (STAT), serum- and glucose-regulated kinase 1 (SGK1), Pou class 2 associating factor 1 (POU2AF1), and neurogenic locus notch homolog protein 1 (NOTCH) are the most common genes affected by splicing mutations in diffuse large B cell lymphoma.
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Affiliation(s)
- Dereje Berta
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mekonnen Girma
- Department of Quality Assurance and Laboratory Management, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mulugeta Melku
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Tiruneh Adane
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Bisrat Birke
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Aregawi Yalew
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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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.
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El Hussein S, Medeiros LJ, Lyapichev KA, Fang H, Jelloul FZ, Fiskus W, Chen J, Wei P, Schlette E, Xu J, Li S, Kanagal-Shamanna R, Yang H, Tang Z, Thakral B, Loghavi S, Jain N, Thompson PA, Ferrajoli A, Wierda WG, Jabbour E, Patel KP, Dabaja BS, Bhalla KN, Khoury JD. Immunophenotypic and genomic landscape of Richter transformation diffuse large B-cell lymphoma. Pathology 2023; 55:514-524. [PMID: 36933995 DOI: 10.1016/j.pathol.2022.12.354] [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: 09/17/2022] [Revised: 12/04/2022] [Accepted: 12/14/2022] [Indexed: 02/27/2023]
Abstract
Integrated clinicopathological and molecular analyses of Richter transformation of diffuse large B-cell lymphoma subtype (RT-DLBCL) cases remain limited. This study group included 142 patients with RT-DLBCL. Morphological evaluation and immunophenotyping, using immunohistochemistry and/or multicolour flow cytometry, were performed. The results of conventional karyotyping, fluorescence in situ hybridisation analysis and mutation profiling performed using next generation sequencing were reviewed. Patients included 91 (64.1%) men and 51 (35.9%) women with a median age of 65.4 years (range 25.4-84.9 years) at the time of RT-DLBCL diagnosis. Patients had CLL for a median of 49.5 months (range 0-330 months) before onset of RT-DLBCL. Most cases (97.2%) of RT-DLBCL had immunoblastic (IB) morphology, the remainder had a high grade morphology. The most commonly expressed markers included: CD19 (100%), PAX5 (100%), BCL2 (97.5%), LEF1 (94.7%), CD22 (90.2%), CD5 (88.6%), CD20 (85.7%), CD38 (83.5%), MUM1 (83.3%), CD23 (77%) and MYC (46.3%). Most (51/65, 78.4%) cases had a non-germinal centre B-cell immunophenotype. MYC rearrangement was detected in 9/47 (19.1%) cases, BCL2 rearrangement was detected in 5/22 (22.7%) cases, and BCL6 rearrangement was detected in 2/15 (13.3%) cases. In comparison to CLL, RT-DLBCL had higher numbers of alterations involving chromosomes 6, 17, 21, and 22. The most common mutations detected in RT-DLBCL involved TP53 (9/14, 64.3%), NOTCH1 (4/14, 28.6%) and ATM (3/14, 21.4%). Among RT-DLBCL cases with mutant TP53, 5/8 (62.5%) had TP53 copy number loss, and among those, such loss was detected in the CLL phase of the disease in 4/8 (50%) cases. There was no significant difference in overall survival (OS) between patients with germinal centre B-cell (GCB) and non-GCB RT-DLBCL. Only CD5 expression correlated significantly with OS (HR=2.732; 95% CI 1.397-5.345; p=0.0374). RT-DLBCL has distinctive morphological and immunophenotypic features, characterised by IB morphology and common expression of CD5, MUM1 and LEF1. Cell-of-origin does not seem to have prognostic implications in RT-DLBCL.
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MESH Headings
- Male
- Humans
- Female
- Adult
- Middle Aged
- Aged
- Aged, 80 and over
- Leukemia, Lymphocytic, Chronic, B-Cell
- Immunophenotyping
- Lymphoma, Large B-Cell, Diffuse/diagnosis
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/pathology
- Proto-Oncogene Proteins c-bcl-2/genetics
- Genomics
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Affiliation(s)
- Siba El Hussein
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Pathology, University of Rochester Medical Center, Rochester, NY, USA.
| | - L Jeffrey Medeiros
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kirill A Lyapichev
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Pathology, The University of Texas Medical Branch, Galveston, TX, USA
| | - Hong Fang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fatima Zahra Jelloul
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Warren Fiskus
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiansong Chen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ellen Schlette
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jie Xu
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shaoying Li
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hong Yang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zhenya Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Beenu Thakral
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sanam Loghavi
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nitin Jain
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Philip A Thompson
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alessandra Ferrajoli
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - William G Wierda
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elias Jabbour
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Keyur P Patel
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bouthaina S Dabaja
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kapil N Bhalla
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Joseph D Khoury
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Pathology, The University of Nebraska Medical Center, Omaha, NE, USA.
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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.
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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
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Shen R, Fu D, Dong L, Zhang MC, Shi Q, Shi ZY, Cheng S, Wang L, Xu PP, Zhao WL. Simplified algorithm for genetic subtyping in diffuse large B-cell lymphoma. Signal Transduct Target Ther 2023; 8:145. [PMID: 37032379 PMCID: PMC10083170 DOI: 10.1038/s41392-023-01358-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 01/11/2023] [Accepted: 01/31/2023] [Indexed: 04/11/2023] Open
Abstract
Genetic classification helps to disclose molecular heterogeneity and therapeutic implications in diffuse large B-cell lymphoma (DLBCL). Using whole exome/genome sequencing, RNA-sequencing, and fluorescence in situ hybridization in 337 newly diagnosed DLBCL patients, we established a simplified 38-gene algorithm (termed 'LymphPlex') based on the information on mutations of 35 genes and rearrangements of three genes (BCL2, BCL6, and MYC), identifying seven distinct genetic subtypes: TP53Mut (TP53 mutations), MCD-like (MYD88, CD79B, PIM1, MPEG1, BTG1, TBL1XR1, PRDM1, IRF4 mutations), BN2-like (BCL6 fusion, NOTCH2, CD70, DTX1, BTG2, TNFAIP3, CCND3 mutations), N1-like (NOTCH1 mutations), EZB-like (BCL2 fusion, EZH2, TNFRSF14, KMT2D, B2M, FAS, CREBBP, ARID1A, EP300, CIITA, STAT6, GNA13 mutations, with or without MYC rearrangement), and ST2-like (SGK1, TET2, SOCS1, DDX3X, ZFP36L1, DUSP2, STAT3, IRF8 mutations). Extended validation of 1001 DLBCL patients revealed clinical relevance and biological signature of each genetic subtype. TP53Mut subtype showed poor prognosis, characterized by p53 signaling dysregulation, immune deficiency, and PI3K activation. MCD-like subtype was associated with poor prognosis, activated B-cell (ABC) origin, BCL2/MYC double-expression, and NF-κB activation. BN2-like subtype showed favorable outcome within ABC-DLBCL and featured with NF-κB activation. N1-like and EZB-like subtypes were predominated by ABC-DLBCL and germinal center B-cell (GCB)-DLBCL, respectively. EZB-like-MYC+ subtype was characterized by an immunosuppressive tumor microenvironment, while EZB-like-MYC- subtype by NOTCH activation. ST2-like subtype showed favorable outcome within GCB-DLBCL and featured with stromal-1 modulation. Genetic subtype-guided targeted agents achieved encouraging clinical response when combined with immunochemotherapy. Collectively, LymphPlex provided high efficacy and feasibility, representing a step forward to the mechanism-based targeted therapy in DLBCL.
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Affiliation(s)
- Rong Shen
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Di Fu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Dong
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mu-Chen Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Shi
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zi-Yang Shi
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shu Cheng
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Laboratory of Molecular Pathology, Shanghai, China
| | - Peng-Peng Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Wei-Li Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Pôle de Recherches Sino-Français en Science du Vivant et Génomique, Laboratory of Molecular Pathology, Shanghai, China.
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Michot JM, Quivoron C, Sarkozy C, Danu A, Lazarovici J, Saleh K, El-Dakdouki Y, Goldschmidt V, Bigenwald C, Dragani M, Bahleda R, Baldini C, Arfi-Rouche J, Martin-Romano P, Tselikas L, Gazzah A, Hollebecque A, Lacroix L, Ghez D, Vergé V, Marzac C, Cotteret S, Rahali W, Soria JC, Massard C, Bernard OA, Dartigues P, Camara-Clayette V, Ribrag V. Sequence analyses of relapsed or refractory diffuse large B-cell lymphomas unravel three genetic subgroups of patients and the GNA13 mutant as poor prognostic biomarker, results of LNH-EP1 study. Am J Hematol 2023; 98:645-657. [PMID: 36606708 DOI: 10.1002/ajh.26835] [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: 06/27/2022] [Revised: 12/29/2022] [Accepted: 01/01/2023] [Indexed: 01/07/2023]
Abstract
Advances in molecular profiling of newly diagnosed diffuse large B-cell lymphoma (DLBCL) have recently refine genetic subgroups. Genetic subgroups remain undetermined at the time of relapse or refractory (RR) disease. This study aims to decipher genetic subgroups and search for prognostic molecular biomarkers in patients with RR-DLBCL. From 2015 to 2021, targeted next-generation sequencing analyses of germline-matched tumor samples and fresh tissue from RR-DLBCL patients were performed. Unsupervised clustering of somatic mutations was performed and correlations with patient outcome were sought. A number of 120 patients with RR-DLBCL were included in LNH-EP1 study and a molecular tumor landscape was successfully analyzed in 87% of patients (104/120 tumor samples). The median age was 67.5 years (range 27.4-87.4), median number of previous treatments was 2 (range 1-9). The most frequently mutated genes were TP53 (n = 53 mutations; 42% of samples), CREBBP (n = 39; 32%), BCL2 (n = 86; 31%), KMT2D (n = 39; 28%) and PIM1 (n = 54; 22%). Unsupervised clustering separated three genetic subgroups entitled BST (enriched in BCL2, SOCS1, and TNFRSF14 mutations); TKS (enriched in TP53, KMT2D, and STAT6 mutations); and PCM (enriched in PIM1, CD79B, and MYD88 mutations). Median overall survival (OS) was 11.0 (95% confidence interval [CI]: 8.1-12.6) months. OS was not significantly different between the three genetic subgroups. GNA13 mutant was significantly associated with an increased risk of death (hazard ratio: 6.6 [95% CI: 2.1-20.6]; p = .0011) and shorter OS (p = .0340). At the time of relapse or refractory disease, three genetic subgroups of DLBCL patients were delineated, which could help advance precision molecular medicine programs.
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Affiliation(s)
- Jean-Marie Michot
- Département d'Innovation Thérapeutique et d'Essais Précoces, Villejuif, France
- INSERM U1170, Université Paris-Saclay, Gustave Roussy, Villejuif, France
| | - Cyril Quivoron
- Translational Research Hematological Laboratory, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Villejuif, France
- Hematology Department, Gustave Roussy, Villejuif, France
| | - Clémentine Sarkozy
- Département d'Innovation Thérapeutique et d'Essais Précoces, Villejuif, France
- INSERM U1170, Université Paris-Saclay, Gustave Roussy, Villejuif, France
| | - Alina Danu
- Hematology Department, Gustave Roussy, Villejuif, France
| | | | - Khalil Saleh
- Hematology Department, Gustave Roussy, Villejuif, France
| | | | - Vincent Goldschmidt
- Département d'Innovation Thérapeutique et d'Essais Précoces, Villejuif, France
| | | | - Matteo Dragani
- Hematology Department, Gustave Roussy, Villejuif, France
| | - Rastislav Bahleda
- Département d'Innovation Thérapeutique et d'Essais Précoces, Villejuif, France
| | - Capucine Baldini
- Département d'Innovation Thérapeutique et d'Essais Précoces, Villejuif, France
| | | | | | | | - Anas Gazzah
- Département d'Innovation Thérapeutique et d'Essais Précoces, Villejuif, France
| | - Antoine Hollebecque
- Département d'Innovation Thérapeutique et d'Essais Précoces, Villejuif, France
| | - Ludovic Lacroix
- Department of Medical Biology and Pathology, Gustave Roussy, Villejuif, France
| | - David Ghez
- Hematology Department, Gustave Roussy, Villejuif, France
| | - Veronique Vergé
- Department of Medical Biology and Pathology, Gustave Roussy, Villejuif, France
| | - Christophe Marzac
- Department of Medical Biology and Pathology, Gustave Roussy, Villejuif, France
| | - Sophie Cotteret
- Department of Medical Biology and Pathology, Gustave Roussy, Villejuif, France
| | - Wassila Rahali
- Hematology Department, Gustave Roussy, Villejuif, France
| | - Jean-Charles Soria
- Département d'Innovation Thérapeutique et d'Essais Précoces, Villejuif, France
| | - Christophe Massard
- Département d'Innovation Thérapeutique et d'Essais Précoces, Villejuif, France
| | - Olivier A Bernard
- INSERM U1170, Université Paris-Saclay, Gustave Roussy, Villejuif, France
| | - Peggy Dartigues
- Department of Medical Biology and Pathology, Gustave Roussy, Villejuif, France
| | - Valérie Camara-Clayette
- Translational Research Hematological Laboratory, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Villejuif, France
- Biological Resource Center, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Villejuif, France
| | - Vincent Ribrag
- Département d'Innovation Thérapeutique et d'Essais Précoces, Villejuif, France
- INSERM U1170, Université Paris-Saclay, Gustave Roussy, Villejuif, France
- Translational Research Hematological Laboratory, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Villejuif, France
- Hematology Department, Gustave Roussy, Villejuif, France
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Atak S, Serin S, Demirel N, Dogan EE, Aydın D, Nizam N, Mansuroglu I, Eren R. The Obesity Controversy: Does It Impact Treatment Response in Diffuse Large B-Cell Lymphoma? Int J Hematol Oncol Stem Cell Res 2023; 17:75-80. [PMID: 37637766 PMCID: PMC10452947 DOI: 10.18502/ijhoscr.v17i2.12643] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 04/19/2021] [Indexed: 08/29/2023] Open
Abstract
Background: We aimed to investigate the association of body mass index (BMI) with treatment response in patients with DLBCL. Material and Methods: Seventy-nine DLBCL subjects were included in this study. Data about patient age, sex, serum LDH level, presence of B symptoms, IPI score, ECOG performance score, disease stage, extranodal involvement, and BMI values at diagnosis were retrieved by retrospective patient record review. Patients were staged according to Ann Arbor classification using CT and/or PET/CT findings, and the presence of B symptoms. Body mass index was calculated by dividing weight in kilograms by height in meters squared (kg/m2). Patients were divided into groups according to their BMI as underweight (BMI≤ 18.5 kg/m2), normal weight (BMI 18.5-25 kg/m2), overweight (BMI 25-30 kg/m2), and obese (BMI≥ 30 kg/m2), as defined by the World Health Organization. Results: Patients were divided into four groups according to their BMIs, but because there was only one patient in the underweight group, comparisons were performed between normal-weight, overweight, and obese patients. There was no statistically significant difference between these groups in terms of age, sex, serum LDH level, disease stage, presence of B symptoms, extranodal involvement, ECOG performance score, IPI score and treatment response (p= 0.070, 0.704, 0.325, 0.464, 0.254, 0.152, 0.658, 0.620, and 0.947, respectively). Conclusion: In our study, we showed that BMI has no significant impact on treatment response in patients with DLBCL.
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Affiliation(s)
- Suheyla Atak
- University of Health Sciences, Okmeydanı Training and Research Hospital, Department of Internal Medicine, Istanbul, Turkey
| | - stemi Serin
- University of Health Sciences, Istanbul Training and Research Hospital, Department of Hematology, Istanbul, Turkey
| | - Naciye Demirel
- University of Health Sciences, Okmeydanı Training and Research Hospital, Department of Internal Medicine, Istanbul, Turkey
| | - Esma Evrim Dogan
- University of Health Sciences, Okmeydanı Training and Research Hospital, Department of Internal Medicine, Istanbul, Turkey
| | - Demet Aydın
- University of Health Sciences, Okmeydanı Training and Research Hospital, Department of Internal Medicine, Istanbul, Turkey
| | - Nihan Nizam
- University of Health Sciences, Çiğli Training and Research Hospital, Department of Internal Medicine, İzmir, Turkey
| | - Ilknur Mansuroglu
- University of Health Sciences, Okmeydanı Training and Research Hospital, Department of Pathology, Istanbul, Turkey
| | - Rafet Eren
- Istinye University, Faculty of Medicine, Department of Hematology, Istanbul, Turkey
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Melnik BC, Stadler R, Weiskirchen R, Leitzmann C, Schmitz G. Potential Pathogenic Impact of Cow’s Milk Consumption and Bovine Milk-Derived Exosomal MicroRNAs in Diffuse Large B-Cell Lymphoma. Int J Mol Sci 2023; 24:ijms24076102. [PMID: 37047075 PMCID: PMC10094152 DOI: 10.3390/ijms24076102] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/05/2023] [Accepted: 03/16/2023] [Indexed: 03/29/2023] Open
Abstract
Epidemiological evidence supports an association between cow’s milk consumption and the risk of diffuse large B-cell lymphoma (DLBCL), the most common non-Hodgkin lymphoma worldwide. This narrative review intends to elucidate the potential impact of milk-related agents, predominantly milk-derived exosomes (MDEs) and their microRNAs (miRs) in lymphomagenesis. Upregulation of PI3K-AKT-mTORC1 signaling is a common feature of DLBCL. Increased expression of B cell lymphoma 6 (BCL6) and suppression of B lymphocyte-induced maturation protein 1 (BLIMP1)/PR domain-containing protein 1 (PRDM1) are crucial pathological deviations in DLBCL. Translational evidence indicates that during the breastfeeding period, human MDE miRs support B cell proliferation via epigenetic upregulation of BCL6 (via miR-148a-3p-mediated suppression of DNA methyltransferase 1 (DNMT1) and miR-155-5p/miR-29b-5p-mediated suppression of activation-induced cytidine deaminase (AICDA) and suppression of BLIMP1 (via MDE let-7-5p/miR-125b-5p-targeting of PRDM1). After weaning with the physiological termination of MDE miR signaling, the infant’s BCL6 expression and B cell proliferation declines, whereas BLIMP1-mediated B cell maturation for adequate own antibody production rises. Because human and bovine MDE miRs share identical nucleotide sequences, the consumption of pasteurized cow’s milk in adults with the continued transfer of bioactive bovine MDE miRs may de-differentiate B cells back to the neonatal “proliferation-dominated” B cell phenotype maintaining an increased BLC6/BLIMP1 ratio. Persistent milk-induced epigenetic dysregulation of BCL6 and BLIMP1 expression may thus represent a novel driving mechanism in B cell lymphomagenesis. Bovine MDEs and their miR cargo have to be considered potential pathogens that should be removed from the human food chain.
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Pang Y, Lu T, Xu-Monette ZY, Young KH. Metabolic Reprogramming and Potential Therapeutic Targets in Lymphoma. Int J Mol Sci 2023; 24:ijms24065493. [PMID: 36982568 PMCID: PMC10052731 DOI: 10.3390/ijms24065493] [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: 02/11/2023] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Lymphoma is a heterogeneous group of diseases that often require their metabolism program to fulfill the demand of cell proliferation. Features of metabolism in lymphoma cells include high glucose uptake, deregulated expression of enzymes related to glycolysis, dual capacity for glycolytic and oxidative metabolism, elevated glutamine metabolism, and fatty acid synthesis. These aberrant metabolic changes lead to tumorigenesis, disease progression, and resistance to lymphoma chemotherapy. This metabolic reprogramming, including glucose, nucleic acid, fatty acid, and amino acid metabolism, is a dynamic process caused not only by genetic and epigenetic changes, but also by changes in the microenvironment affected by viral infections. Notably, some critical metabolic enzymes and metabolites may play vital roles in lymphomagenesis and progression. Recent studies have uncovered that metabolic pathways might have clinical impacts on the diagnosis, characterization, and treatment of lymphoma subtypes. However, determining the clinical relevance of biomarkers and therapeutic targets related to lymphoma metabolism is still challenging. In this review, we systematically summarize current studies on metabolism reprogramming in lymphoma, and we mainly focus on disorders of glucose, amino acids, and lipid metabolisms, as well as dysregulation of molecules in metabolic pathways, oncometabolites, and potential metabolic biomarkers. We then discuss strategies directly or indirectly for those potential therapeutic targets. Finally, we prospect the future directions of lymphoma treatment on metabolic reprogramming.
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Affiliation(s)
- Yuyang Pang
- Division of Hematopathology, Department of Pathology, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Hematology, Ninth People’s Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - Tingxun Lu
- Division of Hematopathology, Department of Pathology, Duke University School of Medicine, Durham, NC 27710, USA
- Duke Cancer Institute, Durham, NC 27710, USA
| | - Zijun Y. Xu-Monette
- Division of Hematopathology, Department of Pathology, Duke University School of Medicine, Durham, NC 27710, USA
- Duke Cancer Institute, Durham, NC 27710, USA
| | - Ken H. Young
- Division of Hematopathology, Department of Pathology, Duke University School of Medicine, Durham, NC 27710, USA
- Duke Cancer Institute, Durham, NC 27710, USA
- Correspondence: ; Tel.: +1-919-668-7568; Fax: +1-919-684-1856
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41
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Shimkus G, Nonaka T. Molecular classification and therapeutics in diffuse large B-cell lymphoma. Front Mol Biosci 2023; 10:1124360. [PMID: 36818048 PMCID: PMC9936827 DOI: 10.3389/fmolb.2023.1124360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/09/2023] [Indexed: 02/05/2023] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) encompasses a wide variety of disease states that have to date been subgrouped and characterized based on immunohistochemical methods, which provide limited prognostic value to clinicians and no alteration in treatment regimen. The addition of rituximab to CHOP therapy was the last leap forward in terms of treatment, but regimens currently follow a standardized course when disease becomes refractory with no individualization based on genotype. Research groups are tentatively proposing new strategies for categorizing DLBCL based on genetic abnormalities that are frequently found together to better predict disease course following dysregulation of specific pathways and to deliver targeted treatment. Novel algorithms in combination with next-generation sequencing techniques have identified between 4 and 7 subgroups of DLBCL, depending on the research team, with potentially significant and actionable genetic alterations. Various drugs aimed at pathways including BCR signaling, NF-κB dysfunction, and epigenetic regulation have shown promise in their respective groups and may show initial utility as second or third line therapies to patients with recurrent DLBCL. Implementation of subgroups will allow collection of necessary data to determine which groups are significant, which treatments may be indicated, and will provide better insight to clinicians and patients on specific disease course.
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Affiliation(s)
- Gaelen Shimkus
- School of Medicine, Louisiana State University Health Shreveport, Shreveport, LA, United States
| | - Taichiro Nonaka
- Department of Cellular Biology and Anatomy, Louisiana State University Health Sciences Center, Shreveport, LA, United States,Feist-Weiller Cancer Center, Louisiana State University Health Shreveport, Shreveport, LA, United States,*Correspondence: Taichiro Nonaka,
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Melchor J, Garcia-Lacarte M, Grijalba SC, Arnaiz-Leché A, Pascual M, Panizo C, Blanco O, Segura V, Novo FJ, Valero JG, Pérez-Galán P, Martinez-Climent JA, Roa S. Venetoclax improves CD20 immunotherapy in a mouse model of MYC/BCL2 double-expressor diffuse large B-cell lymphoma. J Immunother Cancer 2023; 11:jitc-2022-006113. [PMID: 36854569 PMCID: PMC9980368 DOI: 10.1136/jitc-2022-006113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/12/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Approximately one-third of diffuse large B cell lymphoma (DLBCL) patients exhibit co-expression of MYC and BCL2 (double-expressor lymphoma, DEL) and have a dismal prognosis. Targeted inhibition of the anti-apoptotic protein BCL2 with venetoclax (ABT-199) has been approved in multiple B-cell malignancies and is currently being investigated in clinical trials for DLBCL. Whether BCL2 anti-apoptotic function represents a multifaceted vulnerability for DEL-DLBCL, affecting both lymphoma B cells and T cells within the tumor microenvironment, remains to be elucidated. METHODS Here, we present novel genetically engineered mice that preclinically recapitulate DEL-DLBCL lymphomagenesis, and evaluate their sensitivity ex vivo and in vivo to the promising combination of venetoclax with anti-CD20-based standard immunotherapy. RESULTS Venetoclax treatment demonstrated specific killing of MYC+/BCL2+ lymphoma cells by licensing their intrinsically primed apoptosis, and showed previously unrecognized immunomodulatory activity by specifically enriching antigen-activated effector CD8 T cells infiltrating the tumors. Whereas DEL-DLBCL mice were refractory to venetoclax alone, inhibition of BCL2 significantly extended overall survival of mice that were simultaneously treated with a murine surrogate for anti-CD20 rituximab. CONCLUSIONS These results suggest that the combination of anti-CD20-based immunotherapy and BCL2 inhibition leads to cooperative immunomodulatory effects and improved preclinical responses, which may offer promising therapeutic opportunities for DEL-DLBCL patients.
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Affiliation(s)
- Javier Melchor
- Department of Biochemistry and Genetics, Universidad de Navarra, Pamplona, Spain
- Hemato-Oncology Program, Center for Applied Medical Research (CIMA), Pamplona, Spain
| | - Marcos Garcia-Lacarte
- Department of Biochemistry and Genetics, Universidad de Navarra, Pamplona, Spain
- Hemato-Oncology Program, Center for Applied Medical Research (CIMA), Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Sara C Grijalba
- Department of Biochemistry and Genetics, Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Adrián Arnaiz-Leché
- Department of Biochemistry and Genetics, Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Marién Pascual
- Hemato-Oncology Program, Center for Applied Medical Research (CIMA), Pamplona, Spain
| | - Carlos Panizo
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Department of Hematology, Clinica Universidad de Navarra, Pamplona, Spain
- Current address: Department of Hematology and Hemotherapy, Hospital Universitario Donostia, San Sebastián, Spain
| | - Oscar Blanco
- Department of Pathology, Universidad de Salamanca, Salamanca, Spain
| | - Victor Segura
- Bio-informatic Unit, Center for Applied Medical Research (CIMA), Pamplona, Spain
- Current address: Data Intelligence Unit, Techedge Spain, Madrid, Spain
| | - Francisco J Novo
- Department of Biochemistry and Genetics, Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Juan Garcia Valero
- Department of Hematology-Oncology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Patricia Pérez-Galán
- Department of Hematology-Oncology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Jose A Martinez-Climent
- Hemato-Oncology Program, Center for Applied Medical Research (CIMA), Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Sergio Roa
- Department of Biochemistry and Genetics, Universidad de Navarra, Pamplona, Spain
- Hemato-Oncology Program, Center for Applied Medical Research (CIMA), Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
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Schroers-Martin JG, Alig S, Garofalo A, Tessoulin B, Sugio T, Alizadeh AA. Molecular Monitoring of Lymphomas. ANNUAL REVIEW OF PATHOLOGY 2023; 18:149-180. [PMID: 36130071 DOI: 10.1146/annurev-pathol-050520-044652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Molecular monitoring of tumor-derived alterations has an established role in the surveillance of leukemias, and emerging nucleic acid sequencing technologies are likely to similarly transform the clinical management of lymphomas. Lymphomas are well suited for molecular surveillance due to relatively high cell-free DNA and circulating tumor DNA concentrations, high somatic mutational burden, and the existence of stereotyped variants enabling focused interrogation of recurrently altered regions. Here, we review the clinical scenarios and key technologies applicable for the molecular monitoring of lymphomas, summarizing current evidence in the literature regarding molecular subtyping and classification, evaluation of treatment response, the surveillance of active cellular therapies, and emerging clinical trial strategies.
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Affiliation(s)
- Joseph G Schroers-Martin
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA;
| | - Stefan Alig
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA;
| | - Andrea Garofalo
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA;
| | - Benoit Tessoulin
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA; .,Current affiliation: Clinical Hematology Department, Nantes University Hospital, Nantes, France
| | - Takeshi Sugio
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA;
| | - Ash A Alizadeh
- Department of Medicine, Divisions of Hematology and Oncology, Stanford University Medical Center, Stanford, California, USA; .,Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California, USA.,Stanford Cancer Institute, Stanford University, Stanford, California, USA
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Zhang J, Gu Y, Chen B. Drug-Resistance Mechanism and New Targeted Drugs and Treatments of Relapse and Refractory DLBCL. Cancer Manag Res 2023; 15:245-255. [PMID: 36873252 PMCID: PMC9976586 DOI: 10.2147/cmar.s400013] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 02/14/2023] [Indexed: 03/07/2023] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common aggressive non-Hodgkin's lymphoma (NHL). 30 ~ 40% of DLBCL patients were resistant to the standard R-CHOP regimen or recurrence after remission. It is currently believed that drug resistance is the main cause of the recurrence and refractory of DLBCL (R/R DLBCL). With the increased understanding of DLBCL biology, tumor microenvironment and epigenetics, some new therapies and drugs like molecular and signal pathway target therapy, chimeric antigen receptor (CAR) T-cell therapy, immune checkpoint inhibitors, antibody drug-conjugate and tafasitamab have been used for R/R DLBCL. This article will review the drug resistance mechanism and novel targeted drugs and therapies of DLBCL.
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Affiliation(s)
- Jing Zhang
- Department of Hematology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, People's Republic of China
| | - Yan Gu
- Department of Hematology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, People's Republic of China
| | - Baoan Chen
- Department of Hematology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, People's Republic of China
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Chen H, Qin Y, Liu P, Yang J, Gui L, He X, Zhang C, Zhou S, Zhou L, Yang S, Shi Y. Genetic Profiling of Diffuse Large B-Cell Lymphoma: A Comparison Between Double-Expressor Lymphoma and Non-Double-Expressor Lymphoma. Mol Diagn Ther 2023; 27:75-86. [PMID: 36401148 DOI: 10.1007/s40291-022-00621-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2022] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Data are limited regarding the genetic profiling of diffuse large B-cell lymphoma (DLBCL) with double expression of MYC and BCL2 proteins without underlying rearrangements (double-expressor lymphoma [DEL]). This study aimed to describe the genetic profiling and determine the prognostic significance in patients with DEL and in those with non-DEL. METHODS Capture-based targeted sequencing was performed on 244 patients with de novo DLBCL, not otherwise specified. Immunohistochemistry staining was performed for evaluating the MYC and BCL2 expression. RESULTS Among 244 patients, 46 patients had DEL, and 198 had non-DEL. KMT2D, CD58, EP300, PRDM1, TNFAIP3 and BCL2 gain or amplification (BCL2GA/AMP) were significantly more frequently altered in the DEL group. Alterations in the BCR/TLR (p = 0.021), B-cell development and differentiation (p = 0.004), and NF-κB (p = 0.034) pathways occurred more frequently in patients with DEL. Thirty-seven DEL patients and 132 non-DEL patients were included for survival analyses. DEL was not significantly associated with progression-free survival (PFS) (p = 0.60) and overall survival (OS) (p = 0.49). In DEL patients, after adjusting for the International Prognostic Index, BCL2 alteration (HR 2.516, 95% CI 1.027-6.161; p = 0.044) remained an independent predictor of inferior PFS. BCL2GA/AMP also predicted poor PFS, but with marginal statistical significance (HR 2.489, 95% CI 0.995-6.224; p = 0.051). CONCLUSION There was difference in profiling of altered genes and signaling pathways between the DEL group and the non-DEL group. The presence of DEL alone should not be considered as an adverse prognostic indicator, and BCL2 alteration could define a subset of patients with poor prognosis within DEL.
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Affiliation(s)
- Haizhu Chen
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yan Qin
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Peng Liu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Jianliang Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Lin Gui
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Xiaohui He
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Changgong Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Shengyu Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Liqiang Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Sheng Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yuankai Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
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Laurent C, Cook JR, Yoshino T, Quintanilla-Martinez L, Jaffe ES. Follicular lymphoma and marginal zone lymphoma: how many diseases? Virchows Arch 2023; 482:149-162. [PMID: 36394631 PMCID: PMC9852150 DOI: 10.1007/s00428-022-03432-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 10/04/2022] [Accepted: 10/15/2022] [Indexed: 11/18/2022]
Abstract
Follicular lymphoma (FL) and marginal zone lymphoma (MZL) are indolent mature B-cell neoplasms with variable clinical presentation and distinct histopathologic features. Recent advances in the biology and molecular characteristics of these lymphomas have further expanded our understanding of the heterogeneous nature of these lymphomas, with increasing recognition of specific disease entities within the broader categories of FL and MZL. Here, we discuss the conclusions of the 2022 International Consensus Classification of Mature Lymphoid Neoplasms (2022 ICC) dealing with FL, and review differences with the proposed WHO 5th Edition classification. We review issues related to grading and alternative forms of FL especially those lacking the genetic hallmark of FL, the t(14;18) chromosomal alteration. Among them, t(14;18)-negative CD23+ follicle center lymphoma has been proposed by the 2022 ICC as a provisional entity. Other follicle center-derived lymphomas such as pediatric-type follicular lymphoma, testicular follicular lymphoma, primary cutaneous follicle center lymphoma, and large B-cell lymphoma with IRF4 rearrangement are considered distinct entities separate from conventional FL. Importantly, large B-cell lymphoma with IRF4 rearrangement introduced as a provisional entity in the WHO 2017 is upgraded to a definite entity in the 2022 ICC. We also discuss diagnostic strategies for recognition of MZLs including splenic MZL, extranodal MZL (MALT lymphoma), and primary nodal MZL. The importance of molecular studies in the distinction among marginal zone lymphoma subtypes is emphasized, as well as their value in the differential diagnosis with other B-cell lymphomas.
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Affiliation(s)
- Camille Laurent
- Department of Pathology, Toulouse University Hospital Center, Cancer Institute University of Toulouse-Oncopole, Toulouse, France
| | - James R. Cook
- Department of Laboratory Medicine, Robert J. Tomsich Institute of Pathology and Laboratory Medicine, Cleveland Clinic, Cleveland, OH USA
| | - Tadashi Yoshino
- Department of Pathology, Graduate School of Medicine Dentistry and Pharmaceutical Science, Okayama University, Okayama, Japan
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls Univesity of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tuebingen, Germany
| | - Elaine S. Jaffe
- National Cancer Institute, National Institutes of Health, Bethesda, MD USA
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Filho EHCN, Zancheta SB, de Barros Silva PG, Rodríguez Burbano RM, Rabenhorst SHB. Prognostic impact of miR-125b and miR-155b and their relationship with MYC and TP53 in diffuse large B-cell lymphoma: cell-of-origin classification matters. J Clin Exp Hematop 2023; 63:164-172. [PMID: 37766562 PMCID: PMC10628825 DOI: 10.3960/jslrt.23009] [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: 03/30/2023] [Revised: 07/04/2023] [Accepted: 07/08/2023] [Indexed: 09/29/2023] Open
Abstract
Tumoral microRNAs, such as miR-125b and miR-155b, are important gene expression regulators with complex pathogenetic mechanisms. However, their role in DLBCL, especially when cell-of-origin classification is considered, are still to be elucidated. In a series of 139 DLBCL cases considering germinal center (GC) versus nonGC subtypes, we investigated miR-125b and miR-155b expression by in situ hibridization and their association with some immunophenotypic presentations, including MYC, BCL2 and TP53 expression, MYC, BCL2 and BCL6 translocation status, as well as clinicopathological features and outcomes. miR-125b detection was positively correlated to the Ki-67 index (P = 0.035) in the nGC. Considering the GC subgroup, the percentage of miR-125b positive cells was also correlated to either MYC and MYC/BCL2 double expression (P = 0.047 and P = 0.049, respectively). When it comes to nGC patients, miR-155b percentage and intensity, as well as Allred score, were positively correlated to disease progression (P = 0.038, P = 0.057 and P = 0.039, respectively). In a multivariate analysis, GC phenotype was a significant independent factor associated with higher OS (P = 0.007) and, considering the nGC group, although not significant, the expression of TP53, miR-125b and miR-155b seems to be potential prognostic biomarkers in these tumors. This study demonstrated different pathways based on cell-of-origin classification and highlighted different clinical outcomes. miR-125b, miR-155b and TP53 expression may also represent potential prognostic factors in nGC-DLBCL.
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Affiliation(s)
| | - Stella Barbanti Zancheta
- LABGEM, Departamento de Patologia e Medicina Legal, Universidade Federal Do Ceará, Fortaleza, Brazil
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Shi YF, Gao ZF, Li XH, Guo LG, Zheng QL, Long MP, Deng LJ, Du TT, Jia L, Zhao W, Song XX, Li M. [Investigation for pathological interpretation criteria and its prognostic value for P53 expression in Chinese diffuse large B-cell lymphoma]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2022; 43:1010-1015. [PMID: 36709106 PMCID: PMC9939333 DOI: 10.3760/cma.j.issn.0253-2727.2022.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Indexed: 01/30/2023]
Abstract
Objective: To explore the feasibility of predicting TP53 mutation risk by immunohistochemical staining (IHC) pattern of P53 in Chinese diffuse large B-cell lymphoma (DLBCL) and its correlation with a prognostic difference. Methods: Between January 2021 and December 2021, 51 DLBCL cases at Beijing Boren Hospital were gathered. These cases had both IHC and next-generation sequencing (NGS) results. IHC classified the P53 protein expression pattern into a loss (<1% ) , diffuse (>80% ) , and heterogeneous (1% -80% ) . The sensitivity and specificity of the predicting TP53 mutation by IHC were assessed by comparing the results of the NGS, and the TP53 high mutation risk group included both loss and diffuse expression of P53. From June 2016 to September 2019, Peking University Cancer Hospital collected 131 DLBCL cases with thorough clinicopathological and follow-up data. From their tumor blocks, tissue microarray blocks were made for IHC evaluation of P53 expression pattern, and prognosis effect of P53 studies. Results: Among 51 cases with both IHC and NGS results, 23 cases were classified as TP53 high mutation risk (7 cases loss and 16 cases diffuse) , 22/23 cases were proved with mutated TP53 by NGS. Only 1 of the 28 cases classified as TP53 low mutation risk was proved with mutated TP53 by NGS. IHC had a sensitivity and specificity of 95.7% and 96.4% for predicting TP53 mutation. NGS identified a total of 26 TP53 mutations with a mutation frequency of 61.57% (13.41% -86.25% ) . In the diffuse group, 16 missense mutations and 2 splice mutations were detected; 6 truncating mutations and 1 splice mutation were detected in the loss group; 1 truncating mutation was detected in the heterogeneous group. Multivariate analysis demonstrated that TP53 cases with high mutation risk have impartial adverse significance for the 131 patients included in survival analysis (HR=2.612, 95% CI 1.145-5.956, P=0.022) . Conclusion: IHC of P53 exhibiting loss (<1% ) or diffuse (>80% ) pattern indicated TP53 high mutation risk, IHC can predict TP53 mutation with high specificity and sensitivity. TP53 high mutation risk is an independent predictor for adverse survival.
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Affiliation(s)
- Y F Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education) , Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Z F Gao
- Department of Pathology, Peking University Third Hospital, Beijing 100191, China Department of Pathology, Beijing Boren Hospital, Beijing 100070, China
| | - X H Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education) , Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - L G Guo
- Department of Pathology, Beijing Boren Hospital, Beijing 100070, China
| | - Q L Zheng
- Medical Laboratory of Molecular Diagnostic Laboratory, Beijing Boren Hospital Department, Beijing 100070, China
| | - M P Long
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education) , Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - L J Deng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing) , Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - T T Du
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing) , Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - L Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education) , Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - W Zhao
- Clinical Laboratory Center, Capital Medical University, Beijing 100069, China
| | - X X Song
- Department of Pathology, Hebei Eye Hospital, Shijiazhuang 054001, China
| | - M Li
- Department of Pathology, Peking University Third Hospital, Beijing 100191, China
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Chen B, Mao T, Qin X, Zhang W, Watanabe N, Li J. Role of estrogen receptor signaling pathway-related genes in diffuse large B-cell lymphoma and identification of key targets via integrated bioinformatics analysis and experimental validation. Front Oncol 2022; 12:1029998. [PMID: 36531013 PMCID: PMC9749266 DOI: 10.3389/fonc.2022.1029998] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 11/07/2022] [Indexed: 11/17/2023] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a highly heterogeneous malignancy. Epidemiologically, the incidence of DLBCL is higher in men, and the female sex is a favorable prognostic factor, which can be explained by estrogen. This study aimed to explore the potential targets of the estrogen receptor (ER) signaling pathway and provide a meaningful way to treat DLBCL patients. Datasets were obtained from the Gene Expression Omnibus (GEO) to identify differentially expressed genes (DEGs). Representative gene sets estrogen receptor pathways, and growth regulatory pathways were identified based on Gene Set Enrichment Analysis (GSEA) analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for function and pathway analysis. STRING and Cytoscape were used to construct the interaction network, and the MCODE plug-in performed the module analysis. GEPIA, TCGA, and LOGpc databases were used for expression and predictive analysis. The Human Protein Atlas (HPA) database was used to analyze the protein expression levels, cBioPortal was used to explore genetic alterations, and ROC analysis and prognostic assessment were used to predict the diagnostic value of genes. Finally, BJAB cells were treated with ER inhibitor fulvestrant and specific shRNA, and the expression of hub genes was verified by RT-qPCR. We identified 81 overlapping DEGs and CDC6, CDC20, KIF20A, STIL, and TOP2A as novel biomarkers affecting the prognosis of DLBCL. In addition, the STAT and KRAS pathways are considered potential growth regulatory pathways. These results hold promise for new avenues for the treatment of DLBCL patients.
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Affiliation(s)
- Bo Chen
- Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Tianjiao Mao
- Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xiuni Qin
- Guangzhou Concord Cancer Center, Guangzhou, Guangdong, China
| | - Wenqi Zhang
- School of Basic Medicine, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Nobumoto Watanabe
- Chemical Biology Research Group, RIKEN Center for Sustainable Resource Science, Wako, Saitama, Japan
- Bio-Active Compounds Discovery Unit, RIKEN Center for Sustainable Resource Science, Wako, Saitama, Japan
| | - Jiang Li
- Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
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Mutation analysis performed on tumor biopsies from patients with newly-diagnosed germinal center aggressive B cell lymphomas. Oncotarget 2022; 13:1237-1244. [PMID: 36441737 DOI: 10.18632/oncotarget.28309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Comprehensive genomic analyses of tumor biopsies from patients with newly-diagnosed germinal center B cell (GCB) diffuse large B cell/high grade B cell lymphoma (DLBCL/HGBL) have identified molecular subtypes predictive of inferior survival, which are characterized by somatic mutations that can be detected through clinical laboratory mutation analysis (CLMA). To determine the frequency and predictive value of individual genetic mutations associated with these experimentally-defined poor-risk subgroups, we reviewed the findings from CLMA performed on tumors from patients with newly-diagnosed GCB DLBCL/HGBL who were previously treated at our institution. CLMA was successfully performed on 58/59 patient tumor biopsies with a median turnaround time of 16 days, and 51 on which CLMA was routinely performed with adequate clinical follow-up were analyzed. Patients whose tumors demonstrated CREBBP mutation experienced a lower estimated rate of 2-year disease free survival (DFS) as compared to those whose tumors did not (45% [95% CI 18-68%] vs. 67% [95% CI 44-83%], P = 0.045). CREBBP mutations may be frequent and predict for inferior DFS in patients with newly-diagnosed GCB DLBCL/HGBL. Furthermore, CLMA may be practically-applied to translate experimental findings into those with more direct application to risk stratification and clinical trial design in subsets of patients with DLBCL/HGBL.
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