[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-333433-105":59,"doc-detail-333433-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","spatial-transcriptomics-in-cancer-research-and-potential-clinical-impact-a-narrative-review","Spatial transcriptomics in cancer research and potential clinical impact: a narrative review","","Spatial transcriptomics (ST) enables spatially resolved quantification and visualization of gene expression in both cancer cells and the tumor microenvironment. In cancer research, ST informs studies of metastasis, prognosis, and responsiveness to immunotherapy, offering an advantage over bulk NGS and RNA profiling that lack spatial context. This narrative review summarizes precision oncology, discusses clinical tumor sequencing, and evaluates major ST research platforms, then surveys current solid-tumor literature by tumor type and addresses how ST may ultimately benefit patients.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/spatial-transcriptomics-in-cancer-research-and-potential-clinical-impact-a-narrative-review/333433/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/spatial-transcriptomics-in-cancer-research-and-potential-clinical-impact-a-narrative-review/333433.png","ImageObject",300,407,{"name":92,"@type":93},"Eliana","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-27","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What is spatial transcriptomics used for in cancer research?","Question",{"text":113,"@type":114},"Spatial transcriptomics studies and quantifies mRNA transcripts as a proxy for gene expression in their spatial context, covering both cancer cells and the surrounding microenvironment.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How does ST address limitations of bulk sequencing approaches?",{"text":118,"@type":114},"Bulk methods from next-generation sequencing and RNA profiling provide averaged profiles without spatial information. ST preserves spatial context, helping capture tumor heterogeneity and multifocality.",{"name":120,"@type":111,"acceptedAnswer":121},"Which ST research methods are discussed in the review?",{"text":122,"@type":114},"The review summarizes available ST research methods including seqFISH, MERFISH (Vizgen), CosMx SMI (NanoString), Xenium (10x), Visium (10x), Stereo-seq (STOmics), and GeoMx DSP (NanoString).","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},333433,1790177074,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":145,"read_time":36,"preview_page_count":4},4398048949847,"https://ap-avatar.wpscdn.com/avatar/400002536579ef2da7f?_k=1778318612642679267","Journal of Cancer Research and Clinical Oncology (2024) 150:296  \n[https://doi.org/10.1007/s00432-024-05816-0](https://doi.org/10.1007/s00432-024-05816-0)  \nREVIEW  \nSpatial transcriptomics in cancer research and potential clinical impact: a narrative review  \nMichael A. Cilento1,2,3 · Christopher J. Sweeney1 · Lisa M. Butler1,2  \nReceived: 19 March 2024 / Accepted: 22 May 2024 / Published online: 8 June 2024 © Crown 2024  \nAbstract  \nSpatial transcriptomics (ST) provides novel insights into the tumor microenvironment (TME) . ST allows the quantification and illustration of gene expression profiles in the spatial context of tissues, including both the cancer cells and the microenvironment in which they are found. In cancer research, ST has already provided novel insights into cancer metastasis, prognosis, and immunotherapy responsiveness. The clinical precision oncology application of next-generation sequencing (NGS) and RNA profiling of tumors relies on bulk methods that lack spatial context. The ability to preserve spatial information is now possible, as it allows us to capture tumor heterogeneity and multifocality. In this narrative review, we summarize precision oncology, discuss tumor sequencing in the clinic, and review the available ST research methods, including seqFISH, MERFISH (Vizgen), CosMx SMI (NanoString), Xenium (10x), Visium (10x), Stereo-seq (STOmics), and GeoMx DSP (NanoString) . We then review the current ST literature with a focus on solid tumors organized by tumor type. Finally, we conclude by addressing an important question: how will spatial transcriptomics ultimately help patients with cancer?  \nKeywords Precision oncology · Genetics · Spatial transcriptomics · Tumor microenvironment · Solid tumors  \nIntroduction  \nSpatial transcriptomics (ST) is the study and quantification of messenger RNA (mRNA) transcripts as a surrogate for gene expression in the spatial context of cancer and the associated microenvironment (Marx 2021; Moses and Pachter 2022). The use of ST in cancer research has the potential to have a significant impact on patients through its application in precision oncology care. This highly detailed illustration of gene expression has been made possible with the recent development of a number of spatial platforms.  \nThis review summarizes tumor sequencing in the clinical setting and tumor sequencing in the research laboratory,  \n􀀍 Michael A. Cilento [michael.cilento@adelaide.edu.au](michael.cilento@adelaide.edu.au)  \n1 South Australian Immunogenomics Cancer Institute, The University of Adelaide, Adelaide, SA, Australia  \n2 South Australian Health and Medical Research Institute, Adelaide, SA, Australia  \n3 The Queen Elizabeth Hospital, Woodville South, SA, Australia  \nincluding bulk and spatial methods. We then review some of the current key ST literature categorized by tumor type, with an emphasis on novel studies that directly analyzed original human samples. We conclude with a discussion on the future directions for the integration of ST into the clinical care of patients with cancer.  \nTumor sequencing in the clinic Precision oncology  \nPrecision medicine, sometimes called personalized medicine, refers to the selection of specific therapeutics for a patient based upon the unique characteristics of that individual or the disease being treated (Jain 2002) . Precision oncology is the application of this concept to cancer treatment and most commonly refers to the use of molecular tumor profiling to guide the selection of cancer therapies (Yates et al. 2018) . This approach to cancer therapy has led to the rapid development of targeted therapies for most solid tumors, many of which now define the standard-ofcare options. Examples include cancers such as malignant  \nmelanoma with BRAF variants, ovarian carcinomas with BRCA alterations and non-small cell lung carcinoma, where the list of targeted treatments is ever expanding but already includes EGFR, ALK, ROS-1, NTRK, MET, RET, BRAF, and KRAS (I","cbCaionXtbOpYY2q","https://ap.wps.com/l/cbCaionXtbOpYY2q","pdf",1917751,16,"English","# Introduction\n## Tumor sequencing in the clinic\n## Tumor tissue processing\n## Variants and the Molecular Tumor Board (MTB)","[{\"question\":\"What is spatial transcriptomics used for in cancer research?\",\"answer\":\"Spatial transcriptomics studies and quantifies mRNA transcripts as a proxy for gene expression in their spatial context, covering both cancer cells and the surrounding microenvironment.\"},{\"question\":\"How does ST address limitations of bulk sequencing approaches?\",\"answer\":\"Bulk methods from next-generation sequencing and RNA profiling provide averaged profiles without spatial information. ST preserves spatial context, helping capture tumor heterogeneity and multifocality.\"},{\"question\":\"Which ST research methods are discussed in the review?\",\"answer\":\"The review summarizes available ST research methods including seqFISH, MERFISH (Vizgen), CosMx SMI (NanoString), Xenium (10x), Visium (10x), Stereo-seq (STOmics), and GeoMx DSP (NanoString).\"}]","Spatial transcriptomics in cancer research and potential clinical impact: a narrative review | PDF",1790002403]