ArticleCancer biology & therapy2010
Modulation of the anti-cancer efficacy of microtubule-targeting agents by cellular growth conditions.
Article in Cancer biology & therapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed, 12 citations in OpenAlex.
- Guanylate-binding proteins induce apoptosis of leukemia cells by regulating MCL-1 and BAK.Oncogenesis · 2021Article
- LXRβ controls glioblastoma cell growth, lipid balance, and immune modulation independently of ABCA1.Scientific reports · 2019Article
- Pharmacological treatment with inhibitors of nuclear export enhances the antitumor activity of docetaxel in human prostate cancer.Oncotarget · 2017Article
- Disabled cell density sensing leads to dysregulated cholesterol synthesis in glioblastoma.Oncotarget · 2017Article
- Anti-Neoplastic Cytotoxicity of Gemcitabine-(CMedicinal chemistry · 2013Article
- Tubulin-targeting agent combination therapies: dosing schedule could matter.British journal of pharmacology · 2013Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Mitotic spindle-disrupting agents target and disrupt microtubule dynamics. These agents include clinically important chemotherapies, including taxanes (paclitaxel (Taxol), docetaxel (Taxotere)) and vinca alkaloids (vincristine (Oncovin), vinblastine). Taxanes are a standard component of treatment for many malignancies, often in conjunction with other cytotoxic agents. However, the optimal sequencing of these treatments and whether efficacy may be influenced by in vitro cellular growth conditions remain incompletely investigated. Yet such preclinical investigations may guide clinical decision making. We therefore studied the effect of cell density on rapid killing by paclitaxel and vincristine. Breast, ovarian and prostate cancer cells were sensitive to rapid killing by either agent when grown at low density, but were markedly resistant when grown at high density, i.e. nearly confluent. The resistance of densely growing cells to rapid killing by these drugs translated to increased clonogenic survival. Pretreatment of densely growing cancer cells with cisplatin followed by paclitaxel, partially reversed the treatment resistance. Gene ontology associations from microarray analyses of cells grown at low and high density, suggested roles for membrane signal transduction and adhesion, but potentially also DNA damage repair and metabolism. Taken together, the treatment resistance at higher cell density may be associated with a lower proportion of active cycling in cells growing at high density as well as transduction of survival signals induced by increased cell-cell adhesion. Collectively these findings suggest mechanisms by which growth conditions may contribute to resistance to rapid killing by microtubule-disrupting drugs.
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.