The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Microtubule inhibitors: Differentiating tubulin-inhibiting agents based on mechanisms of action, clinical activity, and resistance
Abstract
Microtubules are important cellular targets for anticancer therapy because of their key role in mitosis. Microtubule inhibitors (MTI) such as taxanes, vinca alkaloids, and epothilones stabilize or destabilize microtubules, thereby suppressing microtubule dynamics required for proper mitotic function, effectively blocking cell cycle progression and resulting in apoptosis. In spite of their antitumor activity, innate or acquired drug resistance to MTIs such as the taxanes is common, limiting their overall clinical efficacy. Further insight into the mechanisms of action of microtubule-targeting drugs has lead to the discovery of novel agents that may provide higher efficacy with limited toxicity and help overcome resistance to conventional MTIs. This review will focus on the different mechanisms of action of MTIs, potential factors related to resistance and tolerability, and will discuss the recent approval as well as the development of new antineoplastic agents. [Mol Cancer Ther 2009;8(8):2086–95]
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Predictive factors for response to docetaxel in human breast cancers
Noguchi, S. (2006) · Cancer Science · doi:10.1111/j.1349-7006.2006.00265.x · Cited by 127
Cited by
Microtubules and resistance to tubulin-binding agents
Kavallaris, M. (2010) · Nature Reviews Cancer · doi:10.1038/nrc2803 · Cited by 1,120
Exploiting senescence for the treatment of cancer
Wang, L., Lankhorst, L., & Bernards, R. (2022) · Nature Reviews Cancer · doi:10.1038/s41568-022-00450-9 · Cited by 867
YAP/TAZ Signaling and Resistance to Cancer Therapy
Nguyen, C. D. K., & Yi, C. (2019) · Trends in Cancer · doi:10.1016/j.trecan.2019.02.010 · Cited by 437
Dhyani, P., Quispe, C., Sharma, E., Bahukhandi, A., Sati, P., Attri, D. C., Szopa, A., Sharifi-Rad, J., Docea, A. O., Mardare, I., et al. (2022) · Cancer Cell International · doi:10.1186/s12935-022-02624-9 · Cited by 483
Herbal Medicine as Inducers of Apoptosis in Cancer Treatment
Safarzadeh, E., Shotorbani, S. S., & Baradaran, B. (2014) · PubMed · doi:10.5681/apb.2014.062 · Cited by 382
Metadata
- Authors
- Perez, E. A.
- Venue
- Molecular Cancer Therapeutics
- Published
- 2009-08-01
- Volume
- 8
- Issue
- 8
- Pages
- 2086-2095
- ISSN
- 1535-7163 (ISSN-L)
- 1538-8514
- OpenAlex
- W2147594462
- Cited by
- 521
- References
- 1
- FWCI
- 9.22
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Microtubule inhibitors: Differentiating tubulin-inhibiting agents based on mechanisms of action, clinical activity, and resistance. https://app.cochat.ai/papers/10.1158/1535-7163.mct-09-0366
- The paper
- Perez, E. A. (2009). Microtubule inhibitors: Differentiating tubulin-inhibiting agents based on mechanisms of action, clinical activity, and resistance. Molecular Cancer Therapeutics. https://doi.org/10.1158/1535-7163.mct-09-0366
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.
