ReviewFrontiers in genetics2022
Spatial Transcriptomics for Tumor Heterogeneity Analysis.
Review in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Preclinical Anticipation of On- and Off-Target Resistance Mechanisms to Anti-Cancer Drugs: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- The CAGE Framework (Calcium-Gated Excitability): From Single Neurotransmitters to Calcium States in the Tumor Microenvironment.International journal of molecular sciences · 2026Review
- The FAP-FDG Integration Score (FFIS): Development and prognostic validation of a dual-tracer PET phenotype for solid tumors.European journal of nuclear medicine and molecular imaging · 2026Article
- Spatial Gene Set Enrichment Analysis with Applications to Spatially Resolved Transcriptomic Data.bioRxiv : the preprint server for biology · 2026Article
- Translational prioritization of strategies to overcome poly ADP-ribose polymerase inhibitor resistance in breast cancer based on systematic review of preclinical evidence.Discover oncology · 2026Review
- Spatial-aware detection of copy number alterations from spatial transcriptomics using SpaCNA.Nature communications · 2026Article
- Global scientific growth and thematic development of spatial transcriptomics in oncology research.Discover oncology · 2026Article
- The Neuro-Bone Axis in Metastatic Progression: Innervation, Neuro-Immune-Osteoclast Crosstalk, and Therapeutic Opportunities.Biology · 2026Review
- Targeted Protein Degradation in Cancer: PROTACs, New Targets, and Clinical Mechanisms.Biomolecules · 2026Review
- Autoencoder Denoising for Network-Based Spatial Transcriptomics Data with Applications for Cell Signaling Estimation.Complex networks & their applications. International Conference on Complex Networks and Their Applications · 2026Article
- Navigating Transition Metal-Dependent Cell Death: Mechanisms, Crosstalk, and Future Directions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Mapping molecular landscapes in triple-negative breast cancer: insights from spatial transcriptomics.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Review
- Spatial transcriptomics reveals regionally altered gene expression that drives retinal degeneration.Communications biology · 2025Article
- Benchmarking computational methods for detecting spatial domains and domain-specific spatially variable genes from spatial transcriptomics data.Nucleic acids research · 2025Article
- Benchmarking algorithms for spatially variable gene identification in spatial transcriptomics.Bioinformatics (Oxford, England) · 2025Article
- Deep Spatial Sequencing Revealing Differential Immune Responses in Human Hepatocellular Carcinoma.bioRxiv : the preprint server for biology · 2025Article
- Radiomic Analysis of Magnetic Resonance Imaging for Breast Cancer withDiagnostics (Basel, Switzerland) · 2025Article
- Deep spatial sequencing revealing differential immune responses in human hepatocellular carcinoma.Frontiers in cell and developmental biology · 2025Article
- Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images.Cancer research communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The molecular heterogeneity of cancer is one of the major causes of drug resistance that leads to treatment failure. Thus, better understanding the heterogeneity of cancer will contribute to more precise diagnosis and improved patient outcomes. Although single-cell sequencing has become an important tool for investigating tumor heterogeneity recently, it lacks the spatial information of analyzed cells. In this regard, spatial transcriptomics holds great promise in deciphering the complex heterogeneity of cancer by providing localization-indexed gene expression information. This study reviews the applications of spatial transcriptomics in the study of tumor heterogeneity, discovery of novel spatial-dependent mechanisms, tumor immune microenvironment, and matrix microenvironment, as well as the pathological classification and prognosis of cancer. Finally, future challenges and opportunities for spatial transcriptomics technology's applications in cancer are also discussed.
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Registered trials
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.