ReviewCancers2020
Transcriptional Spatial Profiling of Cancer Tissues in the Era of Immunotherapy: The Potential and Promise.
Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed.
- ST-FFPE-mIF: integrating spatial transcriptomics and multiplex immunofluorescence in formalin-fixed paraffin-embedded tissues using Stereo-seq.Genome biology · 2025Article
- Assessing spatial sequencing and imaging approaches to capture the molecular and pathological heterogeneity of archived cancer tissues.The Journal of pathology · 2025Article
- Advances in the understanding and therapeutic manipulation of cancer immune responsiveness: a Society for Immunotherapy of Cancer (SITC) review.Journal for immunotherapy of cancer · 2025Review
- Application of Spatial Transcriptomics in Digestive System Tumors.Biomolecules · 2024Review
- Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review).Oncology letters · 2024Review
- Just how transformative will AI/ML be for immuno-oncology?Journal for immunotherapy of cancer · 2024Review
- Spatial Transcriptomic Profiling of Tetraspanins in Stage 4 Colon Cancer from Primary Tumor and Liver Metastasis.Life (Basel, Switzerland) · 2024Article
- Comprehensive Single-Cell Immune Profiling Defines the Patient Multiple Myeloma Microenvironment Following Oncolytic Virus Therapy in a Phase Ib Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023Article
- Spatial transcriptomics reveals unique gene expression changes in different brain regions after sleep deprivation.Nature communications · 2023Article
- Spatial mapping of the DNA adducts in cancer.DNA repair · 2023Review
- Promise of spatially resolved omics for tumor research.Journal of pharmaceutical analysis · 2023Review
- Single-Cell RNA Sequencing and Spatial Transcriptomics Reveal Pathogenesis of Meningeal Lymphatic Dysfunction after Experimental Subarachnoid Hemorrhage.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
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- Application of spatial transcriptomics analysis using the Visium system for the mouse nasal cavity after intranasal vaccination.Frontiers in immunology · 2023Article
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- Precision Medicine in Head and Neck Cancers: Genomic and Preclinical Approaches.Journal of personalized medicine · 2022Review
- Integrating single-cell RNA sequencing with spatial transcriptomics reveals immune landscape for interstitial cystitis.Signal transduction and targeted therapy · 2022Article
- Article
- Clinical challenges of tissue preparation for spatial transcriptome.Clinical and translational medicine · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intratumoral heterogeneity poses a major challenge to making an accurate diagnosis and establishing personalized treatment strategies for cancer patients. Moreover, this heterogeneity might underlie treatment resistance, disease progression, and cancer relapse. For example, while immunotherapies can confer a high success rate, selective pressures coupled with dynamic evolution within a tumour can drive the emergence of drug-resistant clones that allow tumours to persist in certain patients. To improve immunotherapy efficacy, researchers have used transcriptional spatial profiling techniques to identify and subsequently block the source of tumour heterogeneity. In this review, we describe and assess the different technologies available for such profiling within a cancer tissue. We first outline two well-known approaches, in situ hybridization and digital spatial profiling. Then, we highlight the features of an emerging technology known as Visium Spatial Gene Expression Solution. Visium generates quantitative gene expression data and maps them to the tissue architecture. By retaining spatial information, we are well positioned to identify novel biomarkers and perform computational analyses that might inform on novel combinatorial immunotherapies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.