ArticleAnnual review of cancer biology2020
Investigating Tumor Heterogeneity in Mouse Models.
Article in Annual review of cancer biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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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.
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Who cites it
38 citing papers in PubMed.
- Evolution of malignant tumors as neoorgan and predictions of future scenarios resulting from inappropriate treatment.Medical review (2021) · 2026Article
- Characterization of HER2-Positive Murine Breast Cancer Models for Investigating HER2-Targeted Therapy and Immunotherapy.Cancers · 2026Article
- Modelling the ageing dependence of cancer evolutionary trajectories.Nature reviews. Cancer · 2025Review
- The interplay of DNA damage, epigenetics and tumour heterogeneity in driving cancer cell fitness.Nature communications · 2025Review
- Exploring the Complexity of Cutaneous Squamous CellCarcinoma Microenvironment: Focus on Immune Cell Roles by Novel 3D In Vitro Models.Life (Basel, Switzerland) · 2025Review
- Drug resistance and tumor heterogeneity: cells and ensembles.Biophysical reviews · 2025Review
- Article
- The Role of Myeloid Cells on the Development of Hepatic Metastases in Gastrointestinal Cancer.Gastro hep advances · 2025Review
- Photosensitizer spatial heterogeneity and its impact on personalized interstitial photodynamic therapy treatment planning.Journal of biomedical optics · 2025Article
- Lymphatic-specific methyltransferase-like 3-mediated mMedComm · 2024Article
- Ancient Diseases in Vertebrates: Tumours through the Ages.Animals : an open access journal from MDPI · 2024Review
- Relatively Rare Populations of Invasive Cells Drive Progression of Heterogeneous Tumors.Cellular and molecular bioengineering · 2024Article
- Transplantable Subcutaneous Tumor Models.Methods in molecular biology (Clifton, N.J.) · 2024Article
- CellTICS: an explainable neural network for cell-type identification and interpretation based on single-cell RNA-seq data.Briefings in bioinformatics · 2023Article
- Unveiling the Immune Microenvironment's Role in Breast Cancer: A Glimpse into Promising Frontiers.International journal of molecular sciences · 2023Review
- Polycomb safeguards imaginal disc specification through control of the Vestigial-Scalloped complex.Development (Cambridge, England) · 2023Article
- Polycomb safeguards imaginal disc specification through control of the Vestigial-Scalloped complex.bioRxiv : the preprint server for biology · 2023Article
- Nanoceria: an innovative strategy for cancer treatment.Cellular and molecular life sciences : CMLS · 2023Review
- Robotic data acquisition with deep learning enables cell image-based prediction of transcriptomic phenotypes.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Advantages of omics approaches for elucidating metabolic changes in diabetic peripheral neuropathy.Frontiers in endocrinology · 2023Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Cancer arises from a single cell through a series of acquired mutations and epigenetic alterations. Tumors gradually develop into a complex tissue comprised of phenotypically heterogeneous cancer cell populations, as well as noncancer cells that make up the tumor microenvironment. The phenotype, or state, of each cancer and stromal cell is influenced by a plethora of cell-intrinsic and cell-extrinsic factors. The diversity of these cellular states promotes tumor progression, enables metastasis, and poses a challenge for effective cancer treatments. Thus, the identification of strategies for the therapeutic manipulation of tumor heterogeneity would have significant clinical implications. A major barrier in the field is the difficulty in functionally investigating heterogeneity in tumors in cancer patients. Here we review how mouse models of human cancer can be leveraged to interrogate tumor heterogeneity and to help design better therapeutic strategies.
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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.