Juan Quarroz Braghini, María Cecilia Cabral Lorenzo, Laura Kornblihtt, Mariana S. De Lorenzo, Stella Maris Ranuncolo, Guillermo Blanco
{"title":"淋巴细胞增生和M2巨噬细胞极化基因表达与复发和难治性经典霍奇金淋巴瘤患者相关:多组学分析","authors":"Juan Quarroz Braghini, María Cecilia Cabral Lorenzo, Laura Kornblihtt, Mariana S. De Lorenzo, Stella Maris Ranuncolo, Guillermo Blanco","doi":"10.1002/hon.70135","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <p>Classical Hodgkin Lymphoma (cHL) exhibits rare malignant Hodgkin-Reed Sternberg (HRS) cells within a reactive immune microenvironment. This study developed an HRS cell gene expression signature to identify HRS cells in single-cell RNA sequencing (scRNA-seq) data, investigated cognate interactions, analyzed bulk transcriptomes, and assessed predictors of treatment failure. Differentially expressed genes (DEGs) from RelB-silenced U-HO1 cells were identified, and scRNA-seq data was processed to annotate cell types. Cognate interactions were analyzed using CellPhoneDB, and bulk transcriptome deconvolution was performed using CIBERSORT. Ridge regression models were built and evaluated. A 37-gene HRS cell signature identified HRS cells (2.7%) in scRNA-seq data, revealing efferocytosis pathway enrichment. Macrophages showed the highest cognate interactions, including efferocytosis-related interactions with HRS cells. Bulk transcriptome analysis of 130 cHL patients showed increased M2 macrophage proportions correlated with poorer treatment response (<i>p</i> < 0.001). Ridge regression predicted response to treatment (RtoT) with an AUC of 0.83, identifying HRS cells and M2 macrophages as key predictors. Hierarchical clustering based on 19 genes revealed distinct RtoT outcomes, with high efferocytosis/M2 gene expression correlating with poor response. Increased MerTK, CD209, CD14, and CD36 expression was associated with poorer outcomes. Combining gene expression and cell type proportions improved RtoT prediction (AUC 0.87). A validated HRS cell gene expression signature enabled precise HRS cell identification and accurate estimation of cell proportions. HRS cell and M2 macrophage proportions, along with efferocytosis-related genes, predicted treatment failure. Efferocytosis-mediated M2 macrophage polarization, controlled by HRS cells, may be a critical immune checkpoint in cHL.</p>\n </section>\n </div>","PeriodicalId":12882,"journal":{"name":"Hematological Oncology","volume":"43 5","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efferocytosis and M2 Macrophage Polarization Gene Expression Correlates With Relapsed and Refractory Classical Hodgkin Lymphoma Patients: A Multi-Omic Analysis\",\"authors\":\"Juan Quarroz Braghini, María Cecilia Cabral Lorenzo, Laura Kornblihtt, Mariana S. De Lorenzo, Stella Maris Ranuncolo, Guillermo Blanco\",\"doi\":\"10.1002/hon.70135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <p>Classical Hodgkin Lymphoma (cHL) exhibits rare malignant Hodgkin-Reed Sternberg (HRS) cells within a reactive immune microenvironment. This study developed an HRS cell gene expression signature to identify HRS cells in single-cell RNA sequencing (scRNA-seq) data, investigated cognate interactions, analyzed bulk transcriptomes, and assessed predictors of treatment failure. Differentially expressed genes (DEGs) from RelB-silenced U-HO1 cells were identified, and scRNA-seq data was processed to annotate cell types. Cognate interactions were analyzed using CellPhoneDB, and bulk transcriptome deconvolution was performed using CIBERSORT. Ridge regression models were built and evaluated. A 37-gene HRS cell signature identified HRS cells (2.7%) in scRNA-seq data, revealing efferocytosis pathway enrichment. Macrophages showed the highest cognate interactions, including efferocytosis-related interactions with HRS cells. Bulk transcriptome analysis of 130 cHL patients showed increased M2 macrophage proportions correlated with poorer treatment response (<i>p</i> < 0.001). Ridge regression predicted response to treatment (RtoT) with an AUC of 0.83, identifying HRS cells and M2 macrophages as key predictors. Hierarchical clustering based on 19 genes revealed distinct RtoT outcomes, with high efferocytosis/M2 gene expression correlating with poor response. Increased MerTK, CD209, CD14, and CD36 expression was associated with poorer outcomes. Combining gene expression and cell type proportions improved RtoT prediction (AUC 0.87). A validated HRS cell gene expression signature enabled precise HRS cell identification and accurate estimation of cell proportions. HRS cell and M2 macrophage proportions, along with efferocytosis-related genes, predicted treatment failure. Efferocytosis-mediated M2 macrophage polarization, controlled by HRS cells, may be a critical immune checkpoint in cHL.</p>\\n </section>\\n </div>\",\"PeriodicalId\":12882,\"journal\":{\"name\":\"Hematological Oncology\",\"volume\":\"43 5\",\"pages\":\"\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hematological Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/hon.70135\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hematological Oncology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hon.70135","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEMATOLOGY","Score":null,"Total":0}
Efferocytosis and M2 Macrophage Polarization Gene Expression Correlates With Relapsed and Refractory Classical Hodgkin Lymphoma Patients: A Multi-Omic Analysis
Classical Hodgkin Lymphoma (cHL) exhibits rare malignant Hodgkin-Reed Sternberg (HRS) cells within a reactive immune microenvironment. This study developed an HRS cell gene expression signature to identify HRS cells in single-cell RNA sequencing (scRNA-seq) data, investigated cognate interactions, analyzed bulk transcriptomes, and assessed predictors of treatment failure. Differentially expressed genes (DEGs) from RelB-silenced U-HO1 cells were identified, and scRNA-seq data was processed to annotate cell types. Cognate interactions were analyzed using CellPhoneDB, and bulk transcriptome deconvolution was performed using CIBERSORT. Ridge regression models were built and evaluated. A 37-gene HRS cell signature identified HRS cells (2.7%) in scRNA-seq data, revealing efferocytosis pathway enrichment. Macrophages showed the highest cognate interactions, including efferocytosis-related interactions with HRS cells. Bulk transcriptome analysis of 130 cHL patients showed increased M2 macrophage proportions correlated with poorer treatment response (p < 0.001). Ridge regression predicted response to treatment (RtoT) with an AUC of 0.83, identifying HRS cells and M2 macrophages as key predictors. Hierarchical clustering based on 19 genes revealed distinct RtoT outcomes, with high efferocytosis/M2 gene expression correlating with poor response. Increased MerTK, CD209, CD14, and CD36 expression was associated with poorer outcomes. Combining gene expression and cell type proportions improved RtoT prediction (AUC 0.87). A validated HRS cell gene expression signature enabled precise HRS cell identification and accurate estimation of cell proportions. HRS cell and M2 macrophage proportions, along with efferocytosis-related genes, predicted treatment failure. Efferocytosis-mediated M2 macrophage polarization, controlled by HRS cells, may be a critical immune checkpoint in cHL.
期刊介绍:
Hematological Oncology considers for publication articles dealing with experimental and clinical aspects of neoplastic diseases of the hemopoietic and lymphoid systems and relevant related matters. Translational studies applying basic science to clinical issues are particularly welcomed. Manuscripts dealing with the following areas are encouraged:
-Clinical practice and management of hematological neoplasia, including: acute and chronic leukemias, malignant lymphomas, myeloproliferative disorders
-Diagnostic investigations, including imaging and laboratory assays
-Epidemiology, pathology and pathobiology of hematological neoplasia of hematological diseases
-Therapeutic issues including Phase 1, 2 or 3 trials as well as allogeneic and autologous stem cell transplantation studies
-Aspects of the cell biology, molecular biology, molecular genetics and cytogenetics of normal or diseased hematopoeisis and lymphopoiesis, including stem cells and cytokines and other regulatory systems.
Concise, topical review material is welcomed, especially if it makes new concepts and ideas accessible to a wider community. Proposals for review material may be discussed with the Editor-in-Chief. Collections of case material and case reports will be considered only if they have broader scientific or clinical relevance.