ReviewLaboratory investigation; a journal of technical methods and pathology2015
Mapping spatial heterogeneity in the tumor microenvironment: a new era for digital pathology.
Review in Laboratory investigation; a journal of technical methods and pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.
What it found
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The trial behind it
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Who cites it
129 citing papers in PubMed.
- Comprehensive Radiomics Analysis to Enhance Breast Lesion Characterization Using QUS Spectral Parametric Imaging.Cancers · 2026Article
- Physics-Informed Multiscale Decoding of Tissue Microstructure: The Gray Level Affinity Metrics (GLAM) Framework.Journal of imaging informatics in medicine · 2026Article
- Review
- Single-threshold-guided adaptive cancer therapy with partial-cycle treatment: A mechanistic and reinforcement learning analysis.PLoS computational biology · 2026Article
- Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival.Cancer research · 2026Article
- Deep learning-driven recognition of panoramic tumor microenvironment features in H&E sections and its application.Journal for immunotherapy of cancer · 2026Review
- Tumor-immune trajectory context connects static tissue architecture to clinical outcomes.bioRxiv : the preprint server for biology · 2026Article
- SR2P: an efficient stacking method to predict protein abundance from gene expression in spatial transcriptomics data.bioRxiv : the preprint server for biology · 2026Article
- Mri-based habitat and peritumoral radiomics for predicting the proliferative activity of stromal cells in giant cell tumor of bone.Journal of bone oncology · 2026Article
- SpaceBF: spatial coexpression analysis using Bayesian fused approaches in spatial omics datasets.GigaScience · 2026Article
- Tumor-on-chip's alliance with molecular pathology against metastatic disease.Journal of biomedical science · 2026Review
- Advances in multi-omics research on neuroblastoma.Frontiers in pediatrics · 2026Review
- Astrocyte Reprogramming Drives Tumor Progression and Chemotherapy Resistance in Agent-Based Models of Breast Cancer Brain Metastases.Bulletin of mathematical biology · 2025Article
- Interactions Between Active Matters and Endogenous Fields.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis.Diagnostic pathology · 2025Article
- Pathological omics prediction of early and advanced colon cancer based on artificial intelligence model.Discover oncology · 2025Article
- Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan-Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Statistical analysis of spatial patterns in tumor microenvironment images.Nature communications · 2025Article
- Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models.Nature biomedical engineering · 2025Article
- Research progress of T cells in cholangiocarcinoma.Frontiers in immunology · 2025Review
69 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The emergent field of digital pathology employing automated image analysis techniques is to revolutionize traditional pathology at the center of clinical diagnostics. Histological images provide important tumor features unavailable in molecular profiling or omics data- the spatial context of tumor and stromal cells at single-cell resolution. Methods to map the spatial and morphological patterns of cancer and normal cells can contribute to a more comprehensive understanding of the highly heterogeneous tumor microenvironment. This review focuses on methods that help expand our knowledge of intra-tumoral spatial heterogeneity of the tumor microenvironment and their potential synergies with molecular profiling technologies.
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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.