ReviewCold Spring Harbor perspectives in medicine2016
Spatial Heterogeneity in the Tumor Microenvironment.
Review in Cold Spring Harbor perspectives in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 191 papers.
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.
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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
191 citing papers in PubMed.
- Distinct Spatial Immune Architectures in Tumor and Tumor-Adjacent Tissues of Early-Stage Non-Small Cell Lung Cancer.bioRxiv : the preprint server for biology · 2026Article
- The spatial architecture of tumor immunity: Emerging predictive biomarkers across cancer.Immunologic research · 2026Review
- Immunoediting and precision biomarkers in prostate cancer: The emerging role of liquid biopsy, immune contexture and HLA genotype (Review).International journal of oncology · 2026Review
- A pH/ATP Dual-Sensitive Nanoprobe-Based Bioluminescence Imaging for Intraoperative Human Multicancer Detection.Chemical & biomedical imaging · 2026Article
- Tumor evolution: signaling pathways, molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2026Review
- Guided immunotherapy for residual solid tumor: integrating platelets and CAR T cells to reduce post-surgical recurrence.Biomarker research · 2026Review
- Quantitative Spatiotemporal Analysis of Intracellular Kinase Activity in Metastatic Breast Cancer Cells Using a Microfluidic-Based Lateral Diffusion Assay.Analytical chemistry · 2026Article
- Beyond Color: Hybrid Vibrational-Electronic Broadband Coherent Anti-Stokes Raman Scattering for Molecularly Informed Digital Pathology.Analytical chemistry · 2026Article
- Article
- Single-threshold-guided adaptive cancer therapy with partial-cycle treatment: A mechanistic and reinforcement learning analysis.PLoS computational biology · 2026Article
- A Laminar Microfluidic Platform for Probing the Effects of Spatially Heterogeneous Drug Distributions.Micromachines · 2026Article
- Estimating tumour immune infiltration: methodological convergence across histology and spatial technologies.Briefings in bioinformatics · 2026Review
- geneSCOPE: gene spatial co-occurrence of pairwise expression.Briefings in bioinformatics · 2026Article
- Artificial Intelligence for Spatial Immunometabolic Analysis of the Tumor Microenvironment: Current Evidence and Future Directions.Current issues in molecular biology · 2026Review
- A prospective study of tumor-stroma ratio in resected intrahepatic mass-forming cholangiocarcinoma: prognostic value and correlation with gadoxetic acid-enhanced MRI.European radiology · 2026Article
- Stimuli-Responsive Carbon Nanotubes for On-Demand Cancer Therapy: A Review.AAPS PharmSciTech · 2026Review
- Dual-energy CT to evaluate the infiltration status of tumor-associated macrophage (TAM) in gastric cancer: a preliminary study.Abdominal radiology (New York) · 2026Article
- Robust graph structure learning to improve multi-omics cancer subtype classification.BMC bioinformatics · 2026Article
- SHADE: A multilevel Bayesian framework for modeling directional spatial interactions in tissue microenvironments.PLoS computational 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
131 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Recent developments in studies of tumor heterogeneity have provoked new thoughts on cancer management. There is a desperate need to understand influence of the tumor microenvironment on cancer development and evolution. Applying principles and quantitative methods from ecology can suggest novel solutions to fulfil this need. We discuss spatial heterogeneity as a fundamental biological feature of the microenvironment, which has been largely ignored. Histological samples can provide spatial context of diverse cell types coexisting within the microenvironment. Advanced computer-vision techniques have been developed for spatial mapping of cells in histological samples. This has enabled the applications of experimental and analytical tools from ecology to cancer research, generating system-level knowledge of microenvironmental spatial heterogeneity. We focus on studies of immune infiltrate and tumor resource distribution, and highlight statistical approaches for addressing the emerging challenges based on these new approaches.
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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.