[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-332341-105":3,"doc-detail-332341-en":81,"detail-sidebar-cat-0-en-105":97},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","measuring-single-cell-immune-clonality-to-track-haematological-cancers","Measuring single-cell immune clonality to track haematological cancers","","Pediatric blood cancers are deadly, yet modern advances enable quantification of residual cancer cells to guide therapeutic strategy. Blood malignancies are highly heterogeneous, composed of complex clonal populations, and differ across patients due to diverse immune microenvironments. High-throughput sequencing, especially single-cell approaches such as scRNA-seq and scBCR/scTCR repertoire sequencing, supports high-resolution mapping of immune and cancer lineages, enabling tracking of clonal heterogeneity and immune responses. These efforts highlight routes toward novel biomarkers for clinical oncology.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/measuring-single-cell-immune-clonality-to-track-haematological-cancers/332341/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/measuring-single-cell-immune-clonality-to-track-haematological-cancers/332341.png","ImageObject",300,407,{"name":42,"@type":43},"Oliver","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-28","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",14,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"Why is measuring immune clonality important in haematological cancers?","Question",{"text":63,"@type":64},"Because blood cancers include heterogeneous clonal populations and patient-specific immune microenvironments, precise single-cell measurements can clarify cancer progression and immune dynamics.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What single-cell technologies are discussed for immune repertoire profiling?",{"text":68,"@type":64},"The text highlights single-cell RNA sequencing (scRNA-seq) and single-cell immune repertoire sequencing of B-cell receptors (scBCR-seq) or T-cell receptors (scTCR-seq).",{"name":70,"@type":61,"acceptedAnswer":71},"How can scRNA-seq and scTCR-seq help reveal treatment response?",{"text":72,"@type":64},"They enable lineage tracing and pseudotime/trajectory analyses that link T-cell receptor clonal expansions or repertoire contractions with responder versus non-responder phenotypes, informing understanding of therapy mechanisms.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},332341,1790149094,{"code":4,"msg":82,"data":83},"success",{"doc_id":79,"user_id":84,"nickname":42,"user_avatar":85,"doc_module":4,"category_id":86,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":87,"file_id":88,"file_url":89,"file_type":90,"file_size":91,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":30,"language":92,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":93,"faqs":94,"seo_title":95,"seo_description":12,"update_tm":96,"read_time":86,"preview_page_count":4},8796095461610,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"DOI: 10.1002/ctm2.1780  \nEDITORIAL  \nMeasuring single-cell immune clonality to track haematological cancers  \nAbstract  \nWhile paediatric blood cancers are deadly, modern medical advances have enabled clinicians to measure levels of residual cancer cells to manage therapeutic strategies for patients. However, blood cancers, including leukaemias and lymphomas, are highly heterogeneous and is comprised of complex clonal populations that can hinder efforts in detecting the cancer cells as well as managing treatments. Furthermore, the tumour microenvironment is comprised of heterogenous immune dynamics that may be different between patients. High-throughput sequencing has constributed to new discoveries in genetic and transcriptomic alterations underpinning cancer, including blood cancers, and has changed how patients are monitored and managed. Here we discuss the recent efforts using single-cell approach, particularly on efforts to track clonal heterogenity of paediatric blood cancer and the underlying immune response, highlighting avenues for novel biomarker discovery that may have significant impact on clinical oncology practice.  \nKEYWORDS  \nblood cancer, clonality, paediatric, Single-cell, T-cell receptor  \nDiagnosing and treating leukaemia and lymphomas remains a significant challenge. These malignancies often induce heterogeneity in the immune response, causing disease management complications. Recent advancementsin sequencing technologies have shifted to single-cell sequencing methods such as single-cell RNA-sequencing (scRNA-seq) and single-cell immune repertoire sequencing of the B-cell receptors (BCR; scBCR-seq) or T-cell receptor (TCRs; scTCR-seq) .1 These techniques enable a  \nmore precise dissection of the immune cell development and immune response at a high resolution, revealing the intrinsic details of adaptive immune cell types involved, including the BCR/TCR clonality patterns. Therefore, they hold incredible potential for understanding the immune mechanisms underpinning cancer development and response to treatment.  \nIn the context of haematological malignancies, scRNAseq and scTCR-seq have been useful in tracing immune and cancer cell lineages and understanding disease heterogeneity. For example, separate analysis involving phylogenetic tracing of BCR lineages with scBCR-seq, and pseudotime trajectory analysis with scRNA-seq, helped discover how tumour sites in follicular B-cell lymphoma evolved distinctly.2 Similarly, scTCR-seq enabled the decoding of the clonal architecture in diseases like Tacute lymphoblastic leukaemia (T-ALL) and acute myeloid leukaemia (AML), providing valuable insights into clonal expansions and antigen-driven selection process. In particular, in a study conducted by Abbas et al., they used a single-cell gene expression and immune profiling approach to examine the bone marrow cells in patients with relapsed AML and found that the responders to programmed cell death 1 blockade therapy exhibited expansion of CD8+ T-cell clonotypes, indicating an active adaptive immune response induced by the checkpoint inhibitor drug, whereas treatment-resistant patients exhibited a contraction of their TCR repertoire.3 Using pseudotime trajectory analysis, they also uncovered a population of CD8+ T cell phenotypes expressed stem-like properties, providing potential for long-term immune memory and sustained response to therapy.3 Similarly, a separate study by Wu et al. performed a similar analysis in normal karyotype AML (NK-AML) patients, discovering eight distinct T-cell clusters which represented the different subpopulations of T cells within the NK-AML context.4 Furthermore, specific T-cell clusters were shown to contain marked clonal expansion in those patients, suggesting that these clusters play an important role in the immune response within the  \nThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medi","cbCaipZW1lfkNWfg","https://ap.wps.com/l/cbCaipZW1lfkNWfg","pdf",249510,"English","# Abstract\n# Keywords\n## Diagnostic and treatment challenge\n## Single-cell sequencing technologies\n## Applications in leukaemia and lymphomas\n## Combined single-cell profiling and biomarkers","[{\"question\":\"Why is measuring immune clonality important in haematological cancers?\",\"answer\":\"Because blood cancers include heterogeneous clonal populations and patient-specific immune microenvironments, precise single-cell measurements can clarify cancer progression and immune dynamics.\"},{\"question\":\"What single-cell technologies are discussed for immune repertoire profiling?\",\"answer\":\"The text highlights single-cell RNA sequencing (scRNA-seq) and single-cell immune repertoire sequencing of B-cell receptors (scBCR-seq) or T-cell receptors (scTCR-seq).\"},{\"question\":\"How can scRNA-seq and scTCR-seq help reveal treatment response?\",\"answer\":\"They enable lineage tracing and pseudotime/trajectory analyses that link T-cell receptor clonal expansions or repertoire contractions with responder versus non-responder phenotypes, informing understanding of therapy mechanisms.\"}]","Measuring single-cell immune clonality to track haematological cancers | PDF",1789997772,{"code":4,"msg":82,"data":98},[99,103,107,111,116,121,126,129,134,137,141],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":100,"show_sort_weight":101,"slug":102},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":104,"show_sort_weight":105,"slug":106},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":108,"show_sort_weight":109,"slug":110},"Exam",70,"exam",{"id":112,"doc_module":4,"doc_module_name":25,"category_name":113,"show_sort_weight":114,"slug":115},5,"Comic",60,"comic",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":118,"show_sort_weight":119,"slug":120},6,"Technology",50,"technology",{"id":122,"doc_module":4,"doc_module_name":25,"category_name":123,"show_sort_weight":124,"slug":125},7,"Healthcare",40,"healthcare",{"id":86,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":127,"slug":128},30,"research-report",{"id":130,"doc_module":4,"doc_module_name":25,"category_name":131,"show_sort_weight":132,"slug":133},9,"Religion & Spirituality",20,"religion-spirituality",{"id":132,"doc_module":4,"doc_module_name":25,"category_name":135,"show_sort_weight":132,"slug":136},"World Cup","world-cup",{"id":138,"doc_module":4,"doc_module_name":25,"category_name":139,"show_sort_weight":138,"slug":140},10,"Lifestyle","lifestyle",{"id":142,"doc_module":4,"doc_module_name":25,"category_name":143,"show_sort_weight":112,"slug":144},19,"General","general"]