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Velasco-Suelto J, Gálvez-Carvajal L, Comino-Méndez I, Rueda-Domínguez A. Hodgkin lymphoma and liquid biopsy: a story to be told. J Exp Clin Cancer Res 2024; 43:184. [PMID: 38956619 PMCID: PMC11218217 DOI: 10.1186/s13046-024-03108-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 06/24/2024] [Indexed: 07/04/2024] Open
Abstract
Hodgkin lymphoma (HL) represents a neoplasm primarily affecting adolescents and young adults, necessitating the development of precise diagnostic and monitoring tools. Specifically, classical Hodgkin lymphoma (cHL), comprising 90% of cases, necessitating tailored treatments to minimize late toxicities. Although positron emission tomography/computed tomography (PET/CT) has enhanced response assessment, its limitations underscore the urgency for more reliable progression predictive tools. Genomic characterisation of rare Hodgkin Reed-Sternberg (HRS) cells is challenging but essential. Recent studies employ single-cell molecular analyses, mass cytometry, and Next-Generation Sequencing (NGS) to unveil mutational landscapes. The integration of liquid biopsies, particularly circulating tumor DNA (ctDNA), extracellular vesicles (EVs), miRNAs and cytokines, emerge as groundbreaking approaches. Recent studies demonstrate ctDNA's potential in assessing therapy responses and predicting relapses in HL. Despite cHL-specific ctDNA applications being relatively unexplored, studies emphasize its value in monitoring treatment outcomes. Overall, this review underscores the imperative role of liquid biopsies in advancing HL diagnosis and monitoring.
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Affiliation(s)
- Jesús Velasco-Suelto
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de La Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga, IBIMA-CIMES-UMA), 29010, Malaga, Spain
| | - Laura Gálvez-Carvajal
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de La Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga, IBIMA-CIMES-UMA), 29010, Malaga, Spain
| | - Iñaki Comino-Méndez
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de La Victoria, 29010, Malaga, Spain.
- The Biomedical Research Institute of Málaga, IBIMA-CIMES-UMA), 29010, Malaga, Spain.
- Andalusia-Roche Network in Precision Medical Oncology, 41092, Seville, Spain.
- Centro de Investigacion Biomedica en Red de Cancer (CIBERONC - CB16, 12/00481); 28029, Madrid, Spain.
- Clinical and Translational Cancer Research Group, IBIMA Institute, C/ Severo Ochoa, ParqueTecnologico de Andalucia (PTA), 35, 29590, Campanillas-Malaga, Spain.
| | - Antonio Rueda-Domínguez
- Unidad de Gestion Clinica Intercentros de Oncologia Medica, Hospitales Universitarios Regional y Virgen de La Victoria, 29010, Malaga, Spain
- The Biomedical Research Institute of Málaga, IBIMA-CIMES-UMA), 29010, Malaga, Spain
- Andalusia-Roche Network in Precision Medical Oncology, 41092, Seville, Spain
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Kishida M, Fujisawa M, Steidl C. Molecular biomarkers in classic Hodgkin lymphoma. Semin Hematol 2024:S0037-1963(24)00069-6. [PMID: 38969539 DOI: 10.1053/j.seminhematol.2024.05.005] [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: 05/08/2024] [Accepted: 05/27/2024] [Indexed: 07/07/2024]
Abstract
Classic Hodgkin lymphoma is a unique B-cell derived malignancy featuring rare malignant Hodgkin and Reed Sternberg (HRS) cells that are embedded in a quantitively dominant tumor microenvironment (TME). Treatment of classic Hodgkin lymphoma has significantly evolved in the past decade with improving treatment outcomes for newly diagnosed patients and the minority of patients suffering from disease progression. However, the burden of toxicity and treatment-related long-term sequelae remains high in a typically young patient population. This highlights the need for better molecular biomarkers aiding in risk-adapted treatment strategies and predicting response to an increasing number of available treatments that now prominently involve multiple immunotherapy options. Here, we review modern molecular biomarker approaches that reflect both the biology of the malignant HRS cells and cellular components in the TME, while holding the promise to improve diagnostic frameworks for clinical decision-making and be feasible in clinical trials and routine practice. In particular, technical advances in sequencing and analytic pipelines using liquid biopsies, as well as deep phenotypic characterization of tissue architecture at single-cell resolution, have emerged as the new frontier of biomarker development awaiting further validation and implementation in routine diagnostic procedures.
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Affiliation(s)
- Makoto Kishida
- Centre for Lymphoid Cancer department, BC Cancer, Vancouver, British Columbia, Canada
| | - Manabu Fujisawa
- Centre for Lymphoid Cancer department, BC Cancer, Vancouver, British Columbia, Canada; Institute of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Christian Steidl
- Centre for Lymphoid Cancer department, BC Cancer, Vancouver, British Columbia, Canada; Institute of Medicine, University of Tsukuba, Ibaraki, Japan; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
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3
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Guo M, Liu MYR, Brooks DG. Regulation and impact of tumor-specific CD4 + T cells in cancer and immunotherapy. Trends Immunol 2024; 45:303-313. [PMID: 38508931 DOI: 10.1016/j.it.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 02/23/2024] [Accepted: 02/25/2024] [Indexed: 03/22/2024]
Abstract
CD4+ T cells are crucial in generating and sustaining immune responses. They orchestrate and fine-tune mammalian innate and adaptive immunity through cell-based interactions and the release of cytokines. The role of these cells in contributing to the efficacy of antitumor immunity and immunotherapy has just started to be uncovered. Yet, many aspects of the CD4+ T cell response are still unclear, including the differentiation pathways controlling such cells during cancer progression, the external signals that program them, and how the combination of these factors direct ensuing immune responses or immune-restorative therapies. In this review, we focus on recent advances in understanding CD4+ T cell regulation during cancer progression and the importance of CD4+ T cells in immunotherapies.
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Affiliation(s)
- Mengdi Guo
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada; Department of Immunology, University of Toronto, Toronto, ON, Canada
| | - Melissa Yi Ran Liu
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada; Department of Immunology, University of Toronto, Toronto, ON, Canada
| | - David G Brooks
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada; Department of Immunology, University of Toronto, Toronto, ON, Canada.
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Aoki T, Jiang A, Xu A, Yin Y, Gamboa A, Milne K, Takata K, Miyata-Takata T, Chung S, Rai S, Wu S, Warren M, Strong C, Goodyear T, Morris K, Chong LC, Hav M, Colombo AR, Telenius A, Boyle M, Ben-Neriah S, Power M, Gerrie AS, Weng AP, Karsan A, Roth A, Farinha P, Scott DW, Savage KJ, Nelson BH, Merchant A, Steidl C. Spatially Resolved Tumor Microenvironment Predicts Treatment Outcomes in Relapsed/Refractory Hodgkin Lymphoma. J Clin Oncol 2024; 42:1077-1087. [PMID: 38113419 PMCID: PMC10950131 DOI: 10.1200/jco.23.01115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/12/2023] [Accepted: 10/04/2023] [Indexed: 12/21/2023] Open
Abstract
PURPOSE About a third of patients with relapsed or refractory classic Hodgkin lymphoma (r/r CHL) succumb to their disease after high-dose chemotherapy followed by autologous stem-cell transplantation (HDC/ASCT). Here, we aimed to describe spatially resolved tumor microenvironment (TME) ecosystems to establish novel biomarkers associated with treatment failure in r/r CHL. PATIENTS AND METHODS We performed imaging mass cytometry (IMC) on 71 paired primary diagnostic and relapse biopsies using a marker panel specific to CHL biology. For each cell type in the TME, we calculated a spatial score measuring the distance of nearest neighbor cells to the malignant Hodgkin Reed Sternberg cells within the close interaction range. Spatial scores were used as features in prognostic model development for post-ASCT outcomes. RESULTS Highly multiplexed IMC data revealed shared TME patterns in paired diagnostic and early r/r CHL samples, whereas TME patterns were more divergent in pairs of diagnostic and late relapse samples. Integrated analysis of IMC and single-cell RNA sequencing data identified unique architecture defined by CXCR5+ Hodgkin and Reed Sternberg (HRS) cells and their strong spatial relationship with CXCL13+ macrophages in the TME. We developed a prognostic assay (RHL4S) using four spatially resolved parameters, CXCR5+ HRS cells, PD1+CD4+ T cells, CD68+ tumor-associated macrophages, and CXCR5+ B cells, which effectively separated patients into high-risk versus low-risk groups with significantly different post-ASCT outcomes. The RHL4S assay was validated in an independent r/r CHL cohort using a multicolor immunofluorescence assay. CONCLUSION We identified the interaction of CXCR5+ HRS cells with ligand-expressing CXCL13+ macrophages as a prominent crosstalk axis in relapsed CHL. Harnessing this TME biology, we developed a novel prognostic model applicable to r/r CHL biopsies, RHL4S, opening new avenues for spatial biomarker development.
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Affiliation(s)
- Tomohiro Aoki
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Princess Margaret Cancer Centre—University Health Network, Toronto, Ontario, Canada
| | - Aixiang Jiang
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Yifan Yin
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | | | - Katy Milne
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Katsuyoshi Takata
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Division of Molecular and Cellular Pathology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | | | - Shanee Chung
- Leukemia/Bone Marrow Transplant Program of BC, BC Cancer, Vancouver, British Columbia, Canada
| | - Shinya Rai
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Shaocheng Wu
- Department of Molecular Oncology, BC Cancer, Vancouver, BC, Canada
| | - Mary Warren
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Celia Strong
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Talia Goodyear
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Kayleigh Morris
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Lauren C. Chong
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | | | | | - Adele Telenius
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Merrill Boyle
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Susana Ben-Neriah
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Maryse Power
- Leukemia/Bone Marrow Transplant Program of BC, BC Cancer, Vancouver, British Columbia, Canada
| | - Alina S. Gerrie
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Andrew P. Weng
- Terry Fox Laboratory, BC Cancer, Vancouver, British Columbia, Canada
| | - Aly Karsan
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, BC, Canada
| | - Andrew Roth
- Department of Molecular Oncology, BC Cancer, Vancouver, BC, Canada
| | - Pedro Farinha
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Kerry J. Savage
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
| | - Brad H. Nelson
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | | | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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5
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Chen J, Jia MN, Cai H, Li ZP, Li J, Zhou DB, Cao XX. Serum CXCL13 level is related to treatment response and predicts disease prognosis in Waldenström macroglobulinemia. Ann Hematol 2024:10.1007/s00277-024-05690-3. [PMID: 38448788 DOI: 10.1007/s00277-024-05690-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 02/29/2024] [Indexed: 03/08/2024]
Abstract
Waldenström macroglobulinemia (WM) is a type of B-cell lymphoma that produces IgM. Our study aimed to investigate the role of CXCL13, a chemokine essential for B lymphocytes, in the evaluation of treatment response and prognosis in WM. We collected serum samples and clinical data from 72 WM patients, with 69 patients receiving systemic therapy and 3 patients opting not to receive treatment. Serum CXCL13 levels at baseline and after six months of treatments were measured by enzyme-linked immunosorbent assay. The median serum level of CXCL13 was 1 539.2 pg/ml (range 10.0-21 389.9) at baseline and significantly decreased to 123.1 pg/ml (range 0.0-6 741.5) after 6 months of treatments. At baseline, higher CXCL13 levels were associated with lower hemoglobin levels (p = 0.001), higher β2-microglobulin levels (p = 0.001), lower albumin levels (p = 0.046), and higher IPSS-WM scores (p = 0.013). After 6 months of treatment, patients who achieved PR/VGPR had significantly lower CXCL13 levels compared to those with SD (70.2 pg/ml vs 798.6 pg/ml, p = 0.002). The median follow-up period was 40 months (range 4.2-188). Eight patients died during the follow-up period. Overall survival differed based on CXCL13 levels. When grouped by baseline CXCL13 levels, the median OS was 60.0 months in patients with serum CXCL13 > 2 000 pg/ml, while it was not reached in patients with low CXCL13 levels (p < 0.001). Based on CXCL13 levels after the treatments, the median OS was 74.0 months in patients with serum CXCL13 > 200 pg/ml, while it was not reached in patients with CXCL13 ≤ 200 pg/ml. In a subgroup of 28 patients with a series of serum samples, the increase of serum CXCL13 level was associated with disease progression or the start of next-line therapy (p < 0.001). Our study concludes that serum CXCL13 levels decrease in WM patients treated with various regimens and correlate with treatment response. Detecting serum CXCL13 at baseline or after treatment help in predicting prognosis.
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Affiliation(s)
- Jia Chen
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ming-Nan Jia
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hao Cai
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ze-Peng Li
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian Li
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dao-Bin Zhou
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin-Xin Cao
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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6
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Yan K, Liu Q, Huang R, Jiang Y, Bian Z, Li S, Li L, Shen F, Tsuneyama K, Zhang Q, Lian Z, Guan H, Xu B. Spatial transcriptomics reveals prognosis-associated cellular heterogeneity in the papillary thyroid carcinoma microenvironment. Clin Transl Med 2024; 14:e1594. [PMID: 38426403 PMCID: PMC10905537 DOI: 10.1002/ctm2.1594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 01/28/2024] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Papillary thyroid carcinoma (PTC) is the most common malignant endocrine tumour, and its incidence and prevalence are increasing considerably. Cellular heterogeneity in the tumour microenvironment is important for PTC prognosis. Spatial transcriptomics is a powerful technique for cellular heterogeneity study. METHODS In conjunction with a clinical pathologist identification method, spatial transcriptomics was employed to characterise the spatial location and RNA profiles of PTC-associated cells within the tissue sections. The spatial RNA-clinical signature genes for each cell type were extracted and applied to outlining the distribution regions of specific cells on the entire section. The cellular heterogeneity of each cell type was further revealed by ContourPlot analysis, monocle analysis, trajectory analysis, ligand-receptor analysis and Gene Ontology enrichment analysis. RESULTS The spatial distribution region of tumour cells, typical and atypical follicular cells (FCs and AFCs) and immune cells were accurately and comprehensively identified in all five PTC tissue sections. AFCs were identified as a transitional state between FCs and tumour cells, exhibiting a higher resemblance to the latter. Three tumour foci were shared among all patients out of the 13 observed. Notably, tumour foci No. 2 displayed elevated expression levels of genes associated with lower relapse-free survival in PTC patients. We discovered key ligand-receptor interactions, including LAMB3-ITGA2, FN1-ITGA3 and FN1-SDC4, involved in the transition of PTC cells from FCs to AFCs and eventually to tumour cells. High expression of these patterns correlated with reduced relapse-free survival. In the tumour immune microenvironment, reduced interaction between myeloid-derived TGFB1 and TGFBR1 in tumour focus No. 2 contributed to tumourigenesis and increased heterogeneity. The spatial RNA-clinical analysis method developed here revealed prognosis-associated cellular heterogeneity in the PTC microenvironment. CONCLUSIONS The occurrence of tumour foci No. 2 and three enhanced ligand-receptor interactions in the AFC area/tumour foci reduced the relapse-free survival of PTC patients, potentially leading to improved prognostic strategies and targeted therapies for PTC patients.
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Affiliation(s)
- Kai Yan
- Guangdong Cardiovascular InstituteGuangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouChina
| | - Qing‐Zhi Liu
- Chronic Disease LaboratoryInstitutes for Life SciencesSouth China University of TechnologyGuangzhouChina
| | - Rong‐Rong Huang
- Guangdong Cardiovascular InstituteGuangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouChina
| | - Yi‐Hua Jiang
- Guangdong Cardiovascular InstituteGuangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouChina
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and ApplicationGuangzhouChina
| | - Zhen‐Hua Bian
- School of Biomedical Sciences and EngineeringSouth China University of TechnologyGuangzhou International CampusGuangzhouChina
| | - Si‐Jin Li
- Department of Thyroid SurgeryGuangzhou First People's HospitalSouth China University of TechnologyGuangzhouChina
| | - Liang Li
- Medical Research InstituteGuangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Fei Shen
- Department of Thyroid SurgeryGuangzhou First People's HospitalSouth China University of TechnologyGuangzhouChina
| | - Koichi Tsuneyama
- Department of Pathology and Laboratory MedicineInstitute of Biomedical SciencesTokushima University Graduate SchoolTokushimaJapan
| | - Qing‐Ling Zhang
- Department of PathologyGuangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Zhe‐Xiong Lian
- Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Haixia Guan
- Department of EndocrinologyGuangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Bo Xu
- Department of Thyroid SurgeryGuangzhou First People's HospitalSouth China University of TechnologyGuangzhouChina
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Gomez F, Fisk B, McMichael JF, Mosior M, Foltz JA, Skidmore ZL, Duncavage EJ, Miller CA, Abel H, Li YS, Russler-Germain DA, Krysiak K, Watkins MP, Ramirez CA, Schmidt A, Martins Rodrigues F, Trani L, Khanna A, Wagner JA, Fulton RS, Fronick CC, O'Laughlin MD, Schappe T, Cashen AF, Mehta-Shah N, Kahl BS, Walker J, Bartlett NL, Griffith M, Fehniger TA, Griffith OL. Ultra-Deep Sequencing Reveals the Mutational Landscape of Classical Hodgkin Lymphoma. CANCER RESEARCH COMMUNICATIONS 2023; 3:2312-2330. [PMID: 37910143 PMCID: PMC10648575 DOI: 10.1158/2767-9764.crc-23-0140] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/27/2023] [Accepted: 10/24/2023] [Indexed: 11/03/2023]
Abstract
The malignant Hodgkin and Reed Sternberg (HRS) cells of classical Hodgkin lymphoma (cHL) are scarce in affected lymph nodes, creating a challenge to detect driver somatic mutations. As an alternative to cell purification techniques, we hypothesized that ultra-deep exome sequencing would allow genomic study of HRS cells, thereby streamlining analysis and avoiding technical pitfalls. To test this, 31 cHL tumor/normal pairs were exome sequenced to approximately 1,000× median depth of coverage. An orthogonal error-corrected sequencing approach verified >95% of the discovered mutations. We identified mutations in genes novel to cHL including: CDH5 and PCDH7, novel stop gain mutations in IL4R, and a novel pattern of recurrent mutations in pathways regulating Hippo signaling. As a further application of our exome sequencing, we attempted to identify expressed somatic single-nucleotide variants (SNV) in single-nuclei RNA sequencing (snRNA-seq) data generated from a patient in our cohort. Our snRNA analysis identified a clear cluster of cells containing a somatic SNV identified in our deep exome data. This cluster has differentially expressed genes that are consistent with genes known to be dysregulated in HRS cells (e.g., PIM1 and PIM3). The cluster also contains cells with an expanded B-cell clonotype further supporting a malignant phenotype. This study provides proof-of-principle that ultra-deep exome sequencing can be utilized to identify recurrent mutations in HRS cells and demonstrates the feasibility of snRNA-seq in the context of cHL. These studies provide the foundation for the further analysis of genomic variants in large cohorts of patients with cHL. SIGNIFICANCE Our data demonstrate the utility of ultra-deep exome sequencing in uncovering somatic variants in Hodgkin lymphoma, creating new opportunities to define the genes that are recurrently mutated in this disease. We also show for the first time the successful application of snRNA-seq in Hodgkin lymphoma and describe the expression profile of a putative cluster of HRS cells in a single patient.
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Affiliation(s)
- Felicia Gomez
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
| | - Bryan Fisk
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Joshua F. McMichael
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Matthew Mosior
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Jennifer A. Foltz
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Zachary L. Skidmore
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Eric J. Duncavage
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri
| | - Christopher A. Miller
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Haley Abel
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Yi-Shan Li
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri
| | - David A. Russler-Germain
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Kilannin Krysiak
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri
| | - Marcus P. Watkins
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Cody A. Ramirez
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Alina Schmidt
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Fernanda Martins Rodrigues
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Lee Trani
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Ajay Khanna
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Julia A. Wagner
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Robert S. Fulton
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Catrina C. Fronick
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Michelle D. O'Laughlin
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Timothy Schappe
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Amanda F. Cashen
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Neha Mehta-Shah
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Brad S. Kahl
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Jason Walker
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
| | - Nancy L. Bartlett
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
| | - Malachi Griffith
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri
| | - Todd A. Fehniger
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
| | - Obi L. Griffith
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri
- McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
- Department of Genetics, Washington University School of Medicine, St Louis, Missouri
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8
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Maura F, Adams RM, Aoki T. Scientific techniques in adolescent and young adult classic Hodgkin lymphoma. EJHAEM 2023; 4:902-907. [PMID: 38024640 PMCID: PMC10660113 DOI: 10.1002/jha2.786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/21/2023] [Accepted: 07/21/2023] [Indexed: 12/01/2023]
Abstract
Understanding the tumor microenvironment and genomic landscape is crucial for better prediction of treatment outcomes and developing novel therapies in Hodgkin lymphoma (HL). Recent advancements in genomics have enabled researchers to gain deeper insights into the genomic characteristics of HL at both single-cell resolution and the whole genome level. The use of noninvasive methods such as liquid biopsies and formalin-fixed paraffin-embedded-based imaging techniques has expanded the possibilities of applying cutting-edge analyses to routine clinically available samples. Collaborative efforts between adult and pediatric group are imperative to translate novel findings into routine patient care.
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Affiliation(s)
- Francesco Maura
- Sylvester Comprehensive Cancer CenterUniversity of MiamiMiamiFloridaUSA
| | - Ragini M. Adams
- Division of Pediatric Hematology, OncologyStanford University School of MedicineStanfordCaliforniaUSA
| | - Tomohiro Aoki
- Princess Margaret Cancer CentreUniversity Health NetworkTorontoOntarioCanada
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9
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Martynchyk A, Chowdhury R, Hawkes EA, Keane C. Prognostic Markers within the Tumour Microenvironment in Classical Hodgkin Lymphoma. Cancers (Basel) 2023; 15:5217. [PMID: 37958391 PMCID: PMC10649036 DOI: 10.3390/cancers15215217] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 10/23/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
Classical Hodgkin lymphoma (cHL) accounts for 0.4% of all new cancer cases globally. Despite high cure rates with standard treatment, approximately 15% of patients still experience relapsed or refractory (RR) disease, and many of these eventually die from lymphoma-related causes. Exciting new targeted agents such as anti-PD-1 agents and brentuximab vedotin have changed the therapeutic paradigm beyond chemotherapy and radiotherapy alone. Advances in understanding of the molecular biology are providing insights in the context of novel therapies. The signature histology of cHL requires the presence of scant malignant Hodgkin Reed-Sternberg cells (HRSCs) surrounded by a complex immune-rich tumour microenvironment (TME). The TME cellular composition strongly influences outcomes, yet knowledge of the precise characteristics of TME cells and their interactions with HRSCs is evolving. Novel high-throughput technologies and single-cell sequencing allow deeper analyses of the TME and mechanisms elicited by HRSCs to propagate growth and avoid immune response. In this review, we explore the evolution of knowledge on the prognostic role of immune cells within the TME and provide an up-to-date overview of emerging prognostic data on cHL from new technologies that are starting to unwind the complexity of the cHL TME and provide translational insights into how to improve therapy in the clinic.
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Affiliation(s)
- Arina Martynchyk
- Olivia Newton-John Cancer Research & Wellness Centre, Austin Health, 145 Studley Rd., Heidelberg, VIC 3084, Australia; (A.M.); (E.A.H.)
| | - Rakin Chowdhury
- Princess Alexandra Hospital, 199 Ipswich Rd., Woolloongabba, QLD 4102, Australia;
- Frazer Institute, University of Queensland, St. Lucia, QLD 4072, Australia
| | - Eliza A. Hawkes
- Olivia Newton-John Cancer Research & Wellness Centre, Austin Health, 145 Studley Rd., Heidelberg, VIC 3084, Australia; (A.M.); (E.A.H.)
- School of Public Health & Preventive Medicine, Monash University, 553 St Kilda Rd., Melbourne, VIC 3004, Australia
| | - Colm Keane
- Princess Alexandra Hospital, 199 Ipswich Rd., Woolloongabba, QLD 4102, Australia;
- Frazer Institute, University of Queensland, St. Lucia, QLD 4072, Australia
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10
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Palermo B, Franzese O, Frisullo G, D'Ambrosio L, Panetta M, Campo G, D'Andrea D, Sperduti I, De Nicola F, Goeman F, Gallina F, Visca P, Facciolo F, Nisticò P. CD28/PD1 co-expression: dual impact on CD8 + T cells in peripheral blood and tumor tissue, and its significance in NSCLC patients' survival and ICB response. J Exp Clin Cancer Res 2023; 42:287. [PMID: 37898752 PMCID: PMC10612243 DOI: 10.1186/s13046-023-02846-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 09/29/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND Immune checkpoint blockade (ICB) has significantly prolonged survival of non-small cell lung cancer (NSCLC) patients, although most patients develop mechanisms of resistance. Recently single-cell RNA-sequencing (scRNA-Seq) revealed a huge T-cell phenotypic and (dys)functional state variability. Accordingly, T-cell exhaustion is recognized as a functional adaptation, with a dynamic progression from a long-lived "pre-exhausted stem-like progenitor" to a "terminally exhausted" state. In this scenario it is crucial to understand the complex interplay between co-stimulatory and inhibitory molecules in CD8+ T-cell functionality. METHODS To gain a baseline landscape of the composition, functional states, and transcriptomic signatures predictive of prognosis, we analyzed CD8+ T-cell subsets characterized by the presence/absence of PD1 and CD28 from periphery, adjacent non-tumor tissue and tumor site of a cohort of treatment-naïve NSCLC patients, by integrated multiparametric flow cytometry, targeted multi-omic scRNA-seq analyses, and computational pipelines. RESULTS Despite the increased PD1 levels, an improved PD1+CD28+ T-cell polyfunctionality was observed with the transition from periphery to tumor site, associated with lack of TIGIT, TIM-3 and LAG-3, but not with Ag-experienced-marker CD11a. Differently from CD28+ T cells, the increased PD1 levels in the tumor were associated with reduced functionality in PD1+CD28- T cells. CD11ahigh, although expressed only in a small fraction of this subset, still sustained its functionality. Absence of TIGIT, TIM-3 and CTLA-4, alone or combined, was beneficial to CD28- T cells. Notably, we observed distinct TRM phenotypes in the different districts, with CD28+ T cells more capable of producing TGFβ in the periphery, potentially contributing to elevated CD103 levels. In contrast CD28- TRM mainly produced CXCL13 within the tumor. ScRNA-seq revealed 5 different clusters for each of the two subsets, with distinctive transcriptional profiles in the three districts. By interrogating the TCGA dataset of patients with lung adenocarcinoma (LUAD) and metastatic NSCLC treated with atezolizumab, we found signatures of heterogeneous TRM and "pre-exhausted" long-lived effector memory CD8+ T cells associated with improved response to ICB only in the presence of CD28. CONCLUSIONS Our findings identify signatures able to stratify survival of LUAD patients and predict ICB response in advanced NSCLC. CD28 is advocated as a key determinant in the signatures identified, in both periphery and tumor site, thus likely providing feasible biomarkers of ICB response.
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Affiliation(s)
- Belinda Palermo
- Tumor Immunology and Immunotherapy Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
| | - Ornella Franzese
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Giuseppe Frisullo
- Tumor Immunology and Immunotherapy Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
| | - Lorenzo D'Ambrosio
- Tumor Immunology and Immunotherapy Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
| | - Mariangela Panetta
- Tumor Immunology and Immunotherapy Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
| | - Giulia Campo
- Tumor Immunology and Immunotherapy Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
| | - Daniel D'Andrea
- Department of Biosciences, School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Isabella Sperduti
- Biostatistics and Scientific Direction, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
| | | | - Frauke Goeman
- SAFU Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
| | - Filippo Gallina
- Thoracic-Surgery Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
| | - Paolo Visca
- Pathology Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
| | - Francesco Facciolo
- Thoracic-Surgery Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
| | - Paola Nisticò
- Tumor Immunology and Immunotherapy Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy.
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11
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Duan Z, Ma L, Jin J, Ma L, Ye L, Wu J, Luo Y. The G allele of SNP rs3922 reduces the binding affinity between IGF2BP3 and CXCR5 correlating with a lower antibody production. Eur J Immunol 2023; 53:e2250261. [PMID: 37141498 DOI: 10.1002/eji.202250261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 03/23/2023] [Accepted: 05/03/2023] [Indexed: 05/06/2023]
Abstract
Effective vaccines that function through humoral immunity seek to produce high-affinity antibodies. Our previous research identified the single-nucleotide polymorphism rs3922G in the 3'UTR of CXCR5 as being associated with nonresponsiveness to the hepatitis B vaccine. The differential expression of CXCR5 between the dark zone (DZ) and light zone (LZ) is critical for organizing the functional structure of the germinal center (GC). In this study, we report that the RNA-binding protein IGF2BP3 can bind to CXCR5 mRNA containing the rs3922 variant to promote its degradation via the nonsense-mediated mRNA decay pathway. Deficiency of IGF2BP3 leads to increased CXCR5 expression, which results in the disappearance of CXCR5 differential expression between DZ and LZ, disorganized GCs, aberrant somatic hypermutations, and reduced production of high-affinity antibodies. Furthermore, the affinity of IGF2BP3 for the rs3922G-containing sequence is lower than that for the rs3922A counterpart, which may explain the nonresponsiveness to the hepatitis B vaccination. Together, our findings suggest that IGF2BP3 plays a crucial role in the production of high-affinity antibodies in the GC by binding to the rs3922-containing sequence to regulate CXCR5 expression.
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Affiliation(s)
- Zhaojun Duan
- Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, P. R. China
| | - Longfei Ma
- Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, P. R. China
| | - Jing Jin
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, P. R. China
| | - Lingyu Ma
- Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, P. R. China
| | - Lilin Ye
- Institute of Immunology, Third Military Medical University, Chongqing, P. R.China
| | - Jianguo Wu
- State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, P. R. China
- Institute of Medical Microbiology, Guangdong Provincial Key Laboratory of Virology, Jinan University, Guangzhou, P.R.China
| | - Yunping Luo
- Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, P. R. China
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12
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Georgoulis V, Papoudou-Bai A, Makis A, Kanavaros P, Hatzimichael E. Unraveling the Immune Microenvironment in Classic Hodgkin Lymphoma: Prognostic and Therapeutic Implications. BIOLOGY 2023; 12:862. [PMID: 37372147 DOI: 10.3390/biology12060862] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/06/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023]
Abstract
Classic Hodgkin lymphoma (cHL) is a lymphoid neoplasm composed of rare neoplastic Hodgkin and Reed-Sternberg (HRS) cells surrounded by a reactive tumor microenvironment (TME) with suppressive properties against anti-tumor immunity. TME is mainly composed of T cells (CD4 helper, CD8 cytotoxic and regulatory) and tumor-associated macrophages (TAMs), but the impact of these cells on the natural course of the disease is not absolutely understood. TME contributes to the immune evasion of neoplastic HRS cells through the production of various cytokines and/or the aberrant expression of immune checkpoint molecules in ways that have not been fully understood yet. Herein, we present a comprehensive review of findings regarding the cellular components and the molecular features of the immune TME in cHL, its correlation with treatment response and prognosis, as well as the potential targeting of the TME with novel therapies. Among all cells, macrophages appear to be a most appealing target for immunomodulatory therapies, based on their functional plasticity and antitumor potency.
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Affiliation(s)
- Vasileios Georgoulis
- Department of Hematology, School of Health Sciences, Faculty of Medicine, University of Ioannina, 45 500 Ioannina, Greece
| | - Alexandra Papoudou-Bai
- Department of Pathology, School of Health Sciences, Faculty of Medicine, University of Ioannina, 45 500 Ioannina, Greece
| | - Alexandros Makis
- Department of Child Health, School of Health Sciences, Faculty of Medicine, University of Ioannina, 45 500 Ioannina, Greece
| | - Panagiotis Kanavaros
- Department of Anatomy-Histology-Embryology, School of Health Sciences, Faculty of Medicine, University of Ioannina, 45 000 Ioannina, Greece
| | - Eleftheria Hatzimichael
- Department of Hematology, School of Health Sciences, Faculty of Medicine, University of Ioannina, 45 500 Ioannina, Greece
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13
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Aoki T, Steidl C. Novel insights into Hodgkin lymphoma biology by single-cell analysis. Blood 2023; 141:1791-1801. [PMID: 36548960 PMCID: PMC10646771 DOI: 10.1182/blood.2022017147] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 12/15/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022] Open
Abstract
The emergence and rapid development of single-cell technologies mark a paradigm shift in cancer research. Various technology implementations represent powerful tools to understand cellular heterogeneity, identify minor cell populations that were previously hard to detect and define, and make inferences about cell-to-cell interactions at single-cell resolution. Applied to lymphoma, recent advances in single-cell RNA sequencing have broadened opportunities to delineate previously underappreciated heterogeneity of malignant cell differentiation states and presumed cell of origin, and to describe the composition and cellular subsets in the ecosystem of the tumor microenvironment (TME). Clinical deployment of an expanding armamentarium of immunotherapy options that rely on targets and immune cell interactions in the TME emphasizes the requirement for a deeper understanding of immune biology in lymphoma. In particular, classic Hodgkin lymphoma (CHL) can serve as a study paradigm because of its unique TME, featuring infrequent tumor cells among numerous nonmalignant immune cells with significant interpatient and intrapatient variability. Synergistic to advances in single-cell sequencing, multiplexed imaging techniques have added a new dimension to describing cellular cross talk in various lymphoma entities. Here, we comprehensively review recent progress using novel single-cell technologies with an emphasis on the TME biology of CHL as an application field. The described technologies, which are applicable to peripheral blood, fresh tissues, and formalin-fixed samples, hold the promise to accelerate biomarker discovery for novel immunotherapeutic approaches and to serve as future assay platforms for biomarker-informed treatment selection, including immunotherapies.
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Affiliation(s)
- Tomohiro Aoki
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Christian Steidl
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
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14
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Penter L, Liu Y, Wolff JO, Yang L, Taing L, Jhaveri A, Southard J, Patel M, Cullen NM, Pfaff KL, Cieri N, Oliveira G, Kim-Schulze S, Ranasinghe S, Leonard R, Robertson T, Morgan EA, Chen HX, Song MH, Thurin M, Li S, Rodig SJ, Cibulskis C, Gabriel S, Bachireddy P, Ritz J, Streicher H, Neuberg DS, Hodi FS, Davids MS, Gnjatic S, Livak KJ, Altreuter J, Michor F, Soiffer RJ, Garcia JS, Wu CJ. Mechanisms of response and resistance to combined decitabine and ipilimumab for advanced myeloid disease. Blood 2023; 141:1817-1830. [PMID: 36706355 PMCID: PMC10122106 DOI: 10.1182/blood.2022018246] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 01/29/2023] Open
Abstract
The challenge of eradicating leukemia in patients with acute myelogenous leukemia (AML) after initial cytoreduction has motivated modern efforts to combine synergistic active modalities including immunotherapy. Recently, the ETCTN/CTEP 10026 study tested the combination of the DNA methyltransferase inhibitor decitabine together with the immune checkpoint inhibitor ipilimumab for AML/myelodysplastic syndrome (MDS) either after allogeneic hematopoietic stem cell transplantation (HSCT) or in the HSCT-naïve setting. Integrative transcriptome-based analysis of 304 961 individual marrow-infiltrating cells for 18 of 48 subjects treated on study revealed the strong association of response with a high baseline ratio of T to AML cells. Clinical responses were predominantly driven by decitabine-induced cytoreduction. Evidence of immune activation was only apparent after ipilimumab exposure, which altered CD4+ T-cell gene expression, in line with ongoing T-cell differentiation and increased frequency of marrow-infiltrating regulatory T cells. For post-HSCT samples, relapse could be attributed to insufficient clearing of malignant clones in progenitor cell populations. In contrast to AML/MDS bone marrow, the transcriptomes of leukemia cutis samples from patients with durable remission after ipilimumab monotherapy showed evidence of increased infiltration with antigen-experienced resident memory T cells and higher expression of CTLA-4 and FOXP3. Altogether, activity of combined decitabine and ipilimumab is impacted by cellular expression states within the microenvironmental niche of leukemic cells. The inadequate elimination of leukemic progenitors mandates urgent development of novel approaches for targeting these cell populations to generate long-lasting responses. This trial was registered at www.clinicaltrials.gov as #NCT02890329.
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Affiliation(s)
- Livius Penter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
- Department of Hematology, Oncology, and Tumorimmunology, Campus Virchow Klinikum, Berlin, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Yang Liu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | | | - Lin Yang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Len Taing
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Aashna Jhaveri
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Jackson Southard
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA
| | - Manishkumar Patel
- Human Immune Monitoring Center at the Icahn School of Medicine at Mount Sinai, New York, NY
| | - Nicole M. Cullen
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Kathleen L. Pfaff
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Nicoletta Cieri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
| | - Giacomo Oliveira
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Center at the Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Rebecca Leonard
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Taylor Robertson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Elizabeth A. Morgan
- Harvard Medical School, Boston, MA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | - Helen X. Chen
- Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | - Minkyung H. Song
- Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | - Magdalena Thurin
- Cancer Diagnosis Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | - Shuqiang Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA
| | - Scott J. Rodig
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | - Carrie Cibulskis
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - Stacey Gabriel
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | | | - Jerome Ritz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Howard Streicher
- Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | - Donna S. Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - F. Stephen Hodi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Matthew S. Davids
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Sacha Gnjatic
- Human Immune Monitoring Center at the Icahn School of Medicine at Mount Sinai, New York, NY
| | - Kenneth J. Livak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA
| | | | - Franziska Michor
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Robert J. Soiffer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Jacqueline S. Garcia
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Catherine J. Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Harvard Medical School, Boston, MA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
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15
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CD4 + T cells in cancer. NATURE CANCER 2023; 4:317-329. [PMID: 36894637 DOI: 10.1038/s43018-023-00521-2] [Citation(s) in RCA: 99] [Impact Index Per Article: 99.0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 01/20/2023] [Indexed: 03/11/2023]
Abstract
Cancer immunology and immunotherapy are driving forces of research and development in oncology, mostly focusing on CD8+ T cells and the tumor microenvironment. Recent progress highlights the importance of CD4+ T cells, corresponding to the long-known fact that CD4+ T cells are central players and coordinators of innate and antigen-specific immune responses. Moreover, they have now been recognized as anti-tumor effector cells in their own right. Here we review the current status of CD4+ T cells in cancer, which hold great promise for improving knowledge and therapies in cancer.
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16
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Takahara T, Nakamura S, Tsuzuki T, Satou A. The Immunology of DLBCL. Cancers (Basel) 2023; 15:cancers15030835. [PMID: 36765793 PMCID: PMC9913124 DOI: 10.3390/cancers15030835] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/23/2023] [Accepted: 01/25/2023] [Indexed: 01/31/2023] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is an aggressive malignancy and is the most common type of malignant lymphoid neoplasm. While some DLBCLs exhibit strong cell-autonomous survival and proliferation activity, others depend on interactions with non-malignant cells for their survival and proliferation. Recent next-generation sequencing studies have linked these interactions with the molecular classification of DLBCL. For example, germinal center B-cell-like DLBCL tends to show strong associations with follicular T cells and epigenetic regulation of immune recognition molecules, whereas activated B-cell-like DLBCL shows frequent genetic aberrations affecting the class I major histocompatibility complex. Single-cell technologies have also provided detailed information about cell-cell interactions and the cell composition of the microenvironment of DLBCL. Aging-related immunological deterioration, i.e., immunosenescence, also plays an important role in DLBCL pathogenesis, especially in Epstein-Barr virus-positive DLBCL. Moreover, DLBCL in "immune-privileged sites"-where multiple immune-modulating mechanisms exist-shows unique biological features, including frequent down-regulation of immune recognition molecules and an immune-tolerogenic tumor microenvironment. These advances in understanding the immunology of DLBCL may contribute to the development of novel therapies targeting immune systems.
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Affiliation(s)
- Taishi Takahara
- Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute 480-1195, Japan
- Correspondence:
| | - Shigeo Nakamura
- Department of Pathology and Laboratory Medicine, Nagoya University Hospital, Nagoya 466-8550, Japan
| | - Toyonori Tsuzuki
- Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute 480-1195, Japan
| | - Akira Satou
- Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute 480-1195, Japan
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17
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Takahara T, Sakakibara A, Tsuyuki Y, Satou A, Kato S, Nakamura S. Diagnostic approach for classic Hodgkin lymphoma in small samples with an emphasis on PD-L1 expression and EBV harboring in tumor cells: a brief review from morphology to biology. J Clin Exp Hematop 2023; 63:58-64. [PMID: 37380470 PMCID: PMC10410620 DOI: 10.3960/jslrt.23003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/03/2023] [Accepted: 04/08/2023] [Indexed: 06/30/2023] Open
Abstract
Classic Hodgkin lymphoma (CHL) was first described in 1832 by Thomas Hodgkin, and is characterized by a small number of Hodgkin and Reed-Sternberg cells in a rich inflammatory background. However, even in this modern era, due to the histological and biological overlap with CHL and other B-cell malignancies, including mediastinal grey zone lymphoma and other lymphomas accompanied by "Hodgkinoid cells", their discrimination is challenging and sometimes impossible. The complexity and ambiguity of the boundaries of CHL and its related diseases make the definition of CHL unresolved. Our group has studied the significance of PD-L1 expression and infection of Epstein-Barr virus (EBV) in the diagnosis of CHL, emphasizing their pathological role, clinical significance, and high reproducibility even in daily clinical practice. In this review, we summarize the diagnostic strategy of CHL and its histological lookalikes based on neoplastic PD-L1 expression and infection of EBV, and attempt a reappraisal of the definition of CHL.
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Affiliation(s)
- Taishi Takahara
- Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute, Aichi, Japan
| | - Ayako Sakakibara
- Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute, Aichi, Japan
| | - Yuta Tsuyuki
- Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute, Aichi, Japan
| | - Akira Satou
- Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute, Aichi, Japan
| | - Seiichi Kato
- Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute, Aichi, Japan
| | - Shigeo Nakamura
- Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute, Aichi, Japan
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Pierson SK, Katz L, Williams R, Mumau M, Gonzalez M, Guzman S, Rubenstein A, Oromendia AB, Beineke P, Fosså A, van Rhee F, Fajgenbaum DC. CXCL13 is a predictive biomarker in idiopathic multicentric Castleman disease. Nat Commun 2022; 13:7236. [PMID: 36433996 PMCID: PMC9700691 DOI: 10.1038/s41467-022-34873-7] [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: 01/12/2022] [Accepted: 11/10/2022] [Indexed: 11/27/2022] Open
Abstract
Idiopathic multicentric Castleman disease (iMCD) is a rare and poorly-understood cytokine storm-driven inflammatory disorder. Interleukin-6 (IL-6) is a known disease driver in some patients, but anti-IL-6 therapy with siltuximab is not effective in all patients, and biomarkers indicating success at an early time point following treatment initiation are lacking. Here we show, by comparison of levels of 1,178 proteins in sera of healthy participants (N = 42), patients with iMCD (N = 88), and with related diseases (N = 60), a comprehensive landscape of candidate disease mediators and predictors of siltuximab response. C-X-C Motif Chemokine Ligand-13 (CXCL13) is identified and validated as the protein most prominently up-regulated in iMCD. Early and significant decrease in CXCL13 levels clearly distinguishes siltuximab responders from non-responders; a 17% reduction by day 8 following siltuximab therapy initiation is predictive of response at later time points. Our study thus suggests that CXCL13 is a predictive biomarker of response to siltuximab in iMCD.
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Affiliation(s)
- Sheila K. Pierson
- grid.25879.310000 0004 1936 8972Center for Cytokine Storm Treatment & Laboratory, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Laura Katz
- grid.497198.aMedidata Solutions, New York, NY 10014 USA
| | - Reece Williams
- grid.25879.310000 0004 1936 8972Center for Cytokine Storm Treatment & Laboratory, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Melanie Mumau
- grid.25879.310000 0004 1936 8972Center for Cytokine Storm Treatment & Laboratory, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Michael Gonzalez
- grid.25879.310000 0004 1936 8972Center for Cytokine Storm Treatment & Laboratory, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Stacy Guzman
- grid.25879.310000 0004 1936 8972Center for Cytokine Storm Treatment & Laboratory, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Ayelet Rubenstein
- grid.25879.310000 0004 1936 8972Center for Cytokine Storm Treatment & Laboratory, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | | | | | - Alexander Fosså
- grid.55325.340000 0004 0389 8485Department of Oncology, Oslo University Hospital, Oslo, Norway ,grid.55325.340000 0004 0389 8485K.G. Jebsen Centre for B-cell Malignancies, University of Oslo, Oslo, Norway; Oslo University Hospital, Oslo, 0372 Norway
| | - Frits van Rhee
- grid.241054.60000 0004 4687 1637Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR 72205 USA
| | - David C. Fajgenbaum
- grid.25879.310000 0004 1936 8972Center for Cytokine Storm Treatment & Laboratory, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
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Li PH, Kong XY, He YZ, Liu Y, Peng X, Li ZH, Xu H, Luo H, Park J. Recent developments in application of single-cell RNA sequencing in the tumour immune microenvironment and cancer therapy. Mil Med Res 2022; 9:52. [PMID: 36154923 PMCID: PMC9511789 DOI: 10.1186/s40779-022-00414-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 08/20/2022] [Indexed: 11/10/2022] Open
Abstract
The advent of single-cell RNA sequencing (scRNA-seq) has provided insight into the tumour immune microenvironment (TIME). This review focuses on the application of scRNA-seq in investigation of the TIME. Over time, scRNA-seq methods have evolved, and components of the TIME have been deciphered with high resolution. In this review, we first introduced the principle of scRNA-seq and compared different sequencing approaches. Novel cell types in the TIME, a continuous transitional state, and mutual intercommunication among TIME components present potential targets for prognosis prediction and treatment in cancer. Thus, we concluded novel cell clusters of cancer-associated fibroblasts (CAFs), T cells, tumour-associated macrophages (TAMs) and dendritic cells (DCs) discovered after the application of scRNA-seq in TIME. We also proposed the development of TAMs and exhausted T cells, as well as the possible targets to interrupt the process. In addition, the therapeutic interventions based on cellular interactions in TIME were also summarized. For decades, quantification of the TIME components has been adopted in clinical practice to predict patient survival and response to therapy and is expected to play an important role in the precise treatment of cancer. Summarizing the current findings, we believe that advances in technology and wide application of single-cell analysis can lead to the discovery of novel perspectives on cancer therapy, which can subsequently be implemented in the clinic. Finally, we propose some future directions in the field of TIME studies that can be aided by scRNA-seq technology.
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Affiliation(s)
- Pei-Heng Li
- Department of Thyroid and Parathyroid Surgery, Laboratory of Thyroid and Parathyroid Disease, Frontiers Science Centre for Disease-Related Molecular Network, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, 610044, China
| | - Xiang-Yu Kong
- Department of Thyroid and Parathyroid Surgery, Laboratory of Thyroid and Parathyroid Disease, Frontiers Science Centre for Disease-Related Molecular Network, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, 610044, China
| | - Ya-Zhou He
- Department of Oncology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610044, China
| | - Yi Liu
- Department of Rheumatology and Immunology, Rare Diseases Centre, West China Hospital, Sichuan University, Chengdu, 610044, China
| | - Xi Peng
- College of Computer Science, Sichuan University, Chengdu, 610065, China
| | - Zhi-Hui Li
- Department of Thyroid and Parathyroid Surgery, Laboratory of Thyroid and Parathyroid Disease, Frontiers Science Centre for Disease-Related Molecular Network, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, 610044, China
| | - Heng Xu
- State Key Laboratory of Biotherapy and Cancer Centre, West China Hospital, Sichuan University and Collaborative Innovation Centre, Chengdu, 610044, China
| | - Han Luo
- Department of Thyroid and Parathyroid Surgery, Laboratory of Thyroid and Parathyroid Disease, Frontiers Science Centre for Disease-Related Molecular Network, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, 610044, China.
| | - Jihwan Park
- School of Life Sciences, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea.
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van Bladel DAG, Stevens WBC, van den Brand M, Kroeze LI, Groenen PJTA, van Krieken JHJM, Hebeda KM, Scheijen B. Novel Approaches in Molecular Characterization of Classical Hodgkin Lymphoma. Cancers (Basel) 2022; 14:cancers14133222. [PMID: 35805000 PMCID: PMC9264882 DOI: 10.3390/cancers14133222] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 06/24/2022] [Accepted: 06/27/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary The unique tumor composition of classical Hodgkin lymphoma (cHL), with only a small fraction of malignant Hodgkin and Reed–Sternberg cells within the tumor tissue, has created many challenges to characterize the genetic alterations that drive this lymphoid malignancy. Major advances in sequencing technologies and detailed analysis of circulating tumor DNA in blood samples of patients have provided important contributions to enhance our understanding of the pathogenesis of cHL. In this review, we provide an overview of the recent advances in genotyping the clonal and mutational landscape of cHL. In addition, we discuss different next-generation sequencing applications to characterize tumor tissue and cell-free DNA, which are now available to improve the diagnosis of cHL, and to monitor therapeutic response or disease progression during treatment and follow up of cHL patients. Abstract Classical Hodgkin lymphoma (cHL) represents a B-cell lymphoproliferative disease characterized by clonal immunoglobulin gene rearrangements and recurrent genomic aberrations in the Hodgkin Reed–Sternberg cells in a reactive inflammatory background. Several methods are available for the molecular analysis of cHL on both tissue and cell-free DNA isolated from blood, which can provide detailed information regarding the clonal composition and genetic alterations that drive lymphoma pathogenesis. Clonality testing involving the detection of immunoglobulin and T cell receptor gene rearrangements, together with mutation analysis, represent valuable tools for cHL diagnostics, especially for patients with an atypical histological or clinical presentation reminiscent of a reactive lesion or another lymphoma subtype. In addition, clonality assessment may establish the clonal relationship of composite or subsequent lymphoma presentations within one patient. During the last few decades, more insight has been obtained on the molecular mechanisms that drive cHL development, including recurrently affected signaling pathways (e.g., NF-κB and JAK/STAT) and immune evasion. We provide an overview of the different approaches to characterize the molecular composition of cHL, and the implementation of these next-generation sequencing-based techniques in research and diagnostic settings.
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Affiliation(s)
- Diede A. G. van Bladel
- Radboud University Medical Center, Department of Pathology, 6525 GA Nijmegen, The Netherlands; (D.A.G.v.B.); (M.v.d.B.); (L.I.K.); (P.J.T.A.G.); (J.H.J.M.v.K.); (K.M.H.)
- Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
| | - Wendy B. C. Stevens
- Radboud University Medical Center, Department of Hematology, 6525 GA Nijmegen, The Netherlands;
| | - Michiel van den Brand
- Radboud University Medical Center, Department of Pathology, 6525 GA Nijmegen, The Netherlands; (D.A.G.v.B.); (M.v.d.B.); (L.I.K.); (P.J.T.A.G.); (J.H.J.M.v.K.); (K.M.H.)
- Pathology-DNA, Rijnstate Hospital, 6815 AD Arnhem, The Netherlands
| | - Leonie I. Kroeze
- Radboud University Medical Center, Department of Pathology, 6525 GA Nijmegen, The Netherlands; (D.A.G.v.B.); (M.v.d.B.); (L.I.K.); (P.J.T.A.G.); (J.H.J.M.v.K.); (K.M.H.)
| | - Patricia J. T. A. Groenen
- Radboud University Medical Center, Department of Pathology, 6525 GA Nijmegen, The Netherlands; (D.A.G.v.B.); (M.v.d.B.); (L.I.K.); (P.J.T.A.G.); (J.H.J.M.v.K.); (K.M.H.)
| | - J. Han J. M. van Krieken
- Radboud University Medical Center, Department of Pathology, 6525 GA Nijmegen, The Netherlands; (D.A.G.v.B.); (M.v.d.B.); (L.I.K.); (P.J.T.A.G.); (J.H.J.M.v.K.); (K.M.H.)
| | - Konnie M. Hebeda
- Radboud University Medical Center, Department of Pathology, 6525 GA Nijmegen, The Netherlands; (D.A.G.v.B.); (M.v.d.B.); (L.I.K.); (P.J.T.A.G.); (J.H.J.M.v.K.); (K.M.H.)
| | - Blanca Scheijen
- Radboud University Medical Center, Department of Pathology, 6525 GA Nijmegen, The Netherlands; (D.A.G.v.B.); (M.v.d.B.); (L.I.K.); (P.J.T.A.G.); (J.H.J.M.v.K.); (K.M.H.)
- Radboud Institute for Molecular Life Sciences, 6525 GA Nijmegen, The Netherlands
- Correspondence:
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21
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Hodgkin Lymphoma: Biology and Differential Diagnostic Problem. Diagnostics (Basel) 2022; 12:diagnostics12061507. [PMID: 35741318 PMCID: PMC9221773 DOI: 10.3390/diagnostics12061507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/17/2022] [Accepted: 06/19/2022] [Indexed: 11/17/2022] Open
Abstract
Hodgkin lymphomas (HLs) are lymphoid neoplasms that are morphologically defined as being composed of dysplastic cells, namely, Hodgkin and Reed–Sternberg cells, in a reactive inflammatory background. The biological nature of HLs has long been unclear; however, our understanding of HL-related genetics and tumor microenvironment interactions is rapidly expanding. For example, cell surface overexpression of programmed cell death 1 ligand 1 (CD274/PD-L1) is now considered a defining feature of an HL subset, and targeting such immune checkpoint molecules is a promising therapeutic option. Still, HLs comprise multiple disease subtypes, and some HL features may overlap with its morphological mimics, posing challenging diagnostic and therapeutic problems. In this review, we summarize the recent advances in understanding the biology of HLs, and discuss approaches to differentiating HL and its mimics.
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22
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Bai X, Zhou Y, Yokota Y, Matsumoto Y, Zhai B, Maarouf N, Hayashi H, Carlson R, Zhang S, Sousa A, Sun B, Ghanbari H, Dong X, Wands JR. Adaptive antitumor immune response stimulated by bio-nanoparticle based vaccine and checkpoint blockade. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2022; 41:132. [PMID: 35392977 PMCID: PMC8991500 DOI: 10.1186/s13046-022-02307-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 03/01/2022] [Indexed: 12/30/2022]
Abstract
Background Interactions between tumor and microenvironment determine individual response to immunotherapy. Triple negative breast cancer (TNBC) and hepatocellular carcinoma (HCC) have exhibited suboptimal responses to immune checkpoint inhibitors (ICIs). Aspartate β-hydroxylase (ASPH), an oncofetal protein and tumor associated antigen (TAA), is a potential target for immunotherapy. Methods Subcutaneous HCC and orthotopic TNBC murine models were established in immunocompetent BALB/c mice with injection of BNL-T3 and 4 T1 cells, respectively. Immunohistochemistry, immunofluorescence, H&E, flow cytometry, ELISA and in vitro cytotoxicity assays were performed. Results The ASPH-MYC signaling cascade upregulates PD-L1 expression on breast and liver tumor cells. A bio-nanoparticle based λ phage vaccine targeting ASPH was administrated to mice harboring syngeneic HCC or TNBC tumors, either alone or in combination with PD-1 blockade. In control, autocrine chemokine ligand 13 (CXCL13)-C-X-C chemokine receptor type 5 (CXCR5) axis promoted tumor development and progression in HCC and TNBC. Interactions between PD-L1+ cancer cells and PD-1+ T cells resulted in T cell exhaustion and apoptosis, causing immune evasion of cancer cells. In contrast, combination therapy (Vaccine+PD-1 inhibitor) significantly suppressed primary hepatic or mammary tumor growth (with distant pulmonary metastases in TNBC). Adaptive immune responses were attributed to expansion of activated CD4+ T helper type 1 (Th1)/CD8+ cytotoxic T cells (CTLs) that displayed enhanced effector functions, and maturation of plasma cells that secreted high titers of ASPH-specific antibody. Combination therapy significantly reduced tumor infiltration of immunosuppressive CD4+/CD25+/FOXP3+ Tregs. When the PD-1/PD-L1 signal was inhibited, CXCL13 produced by ASPH+ cancer cells recruited CXCR5+/CD8+ T lymphocytes to tertiary lymphoid structures (TLSs), comprising effector and memory CTLs, T follicular helper cells, B cell germinal center, and follicular dendritic cells. TLSs facilitate activation and maturation of DCs and actively recruit immune subsets to tumor microenvironment. These CTLs secreted CXCL13 to recruit more CXCR5+ immune cells and to lyse CXCR5+ cancer cells. Upon combination treatment, formation of TLSs predicts sensitivity to ICI blockade. Combination therapy substantially prolonged overall survival of mice with HCC or TNBC. Conclusions Synergistic antitumor efficacy attributable to a λ phage vaccine specifically targeting ASPH, an ideal TAA, combined with ICIs, inhibits tumor growth and progression of TNBC and HCC. Supplementary Information The online version contains supplementary material available at 10.1186/s13046-022-02307-3.
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Affiliation(s)
- Xuewei Bai
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA.,Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Yanmei Zhou
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA.,Department of Anesthesiology, Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Yuki Yokota
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA
| | - Yoshihiro Matsumoto
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA
| | - Bo Zhai
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA.,Department of Surgical Oncology and Hepatobiliary Surgery, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang, China
| | - Nader Maarouf
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA
| | - Hikaru Hayashi
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA
| | - Rolf Carlson
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA
| | - Songhua Zhang
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA
| | - Aryanna Sousa
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA
| | - Bei Sun
- Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Hossein Ghanbari
- Currently at Athanor Biosciences Inc., Halethorpe, MD, 21227, USA
| | - Xiaoqun Dong
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA.
| | - Jack R Wands
- Liver Research Center, Rhode Island Hospital, Department of Medicine, The Warren Alpert Medical School of Brown University, RI, 02903, Providence, USA.
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