ReviewDrug design, development and therapy2014
Animal models and therapeutic molecular targets of cancer: utility and limitations.
Review in Drug design, development and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
128 citing papers in PubMed, 1 synthesis or guideline pooled it, 263 citations in OpenAlex.
- Pooled it
- Integrating Experimental Assays, Preclinical Models, and CRISPR-Based Functional Approaches for Cancer Drug Discovery.Cell biochemistry and biophysics · 2026Review
- From single cell analysis to 3D micro physiological systems: microfluidic tools integrating cancer cell targets for delineating natural killer cell biology.Microsystems & nanoengineering · 2026Review
- Establishment and characterization of a testicular yolk sac tumor PDX model.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Gut Microbiota: A Potential Role in Modulating Carcinogenesis and Response to Anti-Cancer Therapies.Cancer reports (Hoboken, N.J.) · 2026Review
- Interpreting cancer genetics through a two-step "evolutionary cascade hypothesis": bridging neutral and selective perspectives.Journal of translational medicine · 2026Review
- GPU-accelerated volumetric-mosaic optical-resolution photoacoustic microscopy and quantifying tumor vasculature growth.Photoacoustics · 2025Article
- Recent Advances in Bioanalytical Methods for Quantification and Pharmacokinetic Analyses of Antibody-Drug Conjugates.The AAPS journal · 2025Review
- From lab to life: technological innovations in transforming cancer metastasis detection and therapy.Discover oncology · 2025Review
- Organoid models in oncology: advancing precision cancer therapy and vaccine development.Cancer biology & medicine · 2025Review
- Review
- Article
- Immune-Infiltrated Cancer Spheroid Model with Vascular Recirculation Reveals Temporally Dependent and Tissue-Specific Macrophage Recruitment.Advanced healthcare materials · 2025Article
- Advances and applications of gut organoids: modeling intestinal diseases and therapeutic development.Life medicine · 2025Review
- Intra-Arterial Super-Selective Delivery of Yttrium-90 for the Treatment of Recurrent Glioblastoma: In Silico Proof of Concept with Feasibility and Safety Analysis.Pharmaceutics · 2025Article
- Insights from veterinary models for advancing oncolytic virotherapy through comparative oncology.Frontiers in molecular biosciences · 2025Review
- Comparative epigenomics to clinical trials in human breast cancer and canine mammary tumor.Animal cells and systems · 2025Review
- Animal models in neuroscience with alternative approaches: Evolutionary, biomedical, and ethical perspectives.Animal models and experimental medicine · 2024Review
- Targeted Cancer Therapy-on-A-Chip.Advanced healthcare materials · 2024Review
- Innovative optical imaging strategies for monitoring immunotherapy in the tumor microenvironments.Cancer medicine · 2024Review
68 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Cancer is the term used to describe over 100 diseases that share several common hallmarks. Despite prevention, early detection, and novel therapies, cancer is still the second leading cause of death in the USA. Successful bench-to-bedside translation of basic scientific findings about cancer into therapeutic interventions for patients depends on the selection of appropriate animal experimental models. Cancer research uses animal and human cancer cell lines in vitro to study biochemical pathways in these cancer cells. In this review, we summarize the important animal models of cancer with focus on their advantages and limitations. Mouse cancer models are well known, and are frequently used for cancer research. Rodent models have revolutionized our ability to study gene and protein functions in vivo and to better understand their molecular pathways and mechanisms. Xenograft and chemically or genetically induced mouse cancers are the most commonly used rodent cancer models. Companion animals with spontaneous neoplasms are still an underexploited tool for making rapid advances in human and veterinary cancer therapies by testing new drugs and delivery systems that have shown promise in vitro and in vivo in mouse models. Companion animals have a relatively high incidence of cancers, with biological behavior, response to therapy, and response to cytotoxic agents similar to those in humans. Shorter overall lifespan and more rapid disease progression are factors contributing to the advantages of a companion animal model. In addition, the current focus is on discovering molecular targets for new therapeutic drugs to improve survival and quality of life in cancer patients.
Indexed as
Identifiers
What OpenQuestion holds
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.