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Cited by 335Cancer Cells and MetastasisAnimal testing and alternativesVeterinary Oncology Research

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

What's wrong with our cancer models?

Kamb, Alexander·2005·Nature Reviews Drug Discovery

Abstract

Oncology, as a therapeutic area, is characterized by a desperate medical need for new drugs; the use of drugs that kill cells and which are consequently often toxic; and rates of failure in expensive Phase III trials that eclipse many other disease areas. The poor performance of most investigational cancer drugs implies that the standard preclinical disease models are faulty or, at least, improperly used. Some studies, however, support the view that cancer models can be highly effective, but only when selected and interpreted with care.

Overview

Integrity signals

Registry

Crossref · 10.1038/nrd1635

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

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Claims other papers make about this one

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Citations

Cites

Show all 18 references

Cited by

See all 335

Metadata

Authors
Kamb, A.
Corresponding author
Kamb, Alexander
Venue
Nature Reviews Drug Discovery
Published
2005-02
Volume
4
Issue
2
Pages
161-165
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W1579189600
Cited by
335
References
18
Citations by year
2026: 6 · 2025: 15 · 2024: 13 · 2023: 24 · 2022: 25 · 2021: 27 · 2020: 17 · 2019: 16 · 2018: 17 · 2017: 16 · 2016: 18 · 2015: 11 · 2014: 17 · 2013: 16 · 2012: 9
FWCI
6.99
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Nature Reviews Drug Discovery (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
  • Health Sciences › Veterinary › Small Animals › Veterinary Oncology Research
Keywords
animal models of cancer, anticancer drug development, drug toxicity, phase III trial failure, model selection, translational oncology
MeSH terms
Animals, Antineoplastic Agents, Disease Models, Animal, Drug Screening Assays, Antitumor, Humans, Neoplasms, Treatment Failure, Clinical Trials, Phase I as Topic, Clinical Trials, Phase III as Topic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: What's wrong with our cancer models? https://app.cochat.ai/papers/10.1038/nrd1635
The paper
Kamb, A. (2005). What's wrong with our cancer models? Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd1635

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.