ReviewCytotechnology1993
Kinetic resistance to anticancer agents.
Review in Cytotechnology, 1993. 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, 28 citations in OpenAlex.
- The Synergistic Effect of Piperlongumine and Sanguinarine on the Non-Small Lung Cancer.Molecules (Basel, Switzerland) · 2020Article
- Measuring Cancer Drug Sensitivity and Resistance in Cultured Cells.Current protocols in chemical biology · 2017Article
- Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs.Nature methods · 2016Article
- Extensive disease small cell lung cancer dose-response relationships: implications for resistance mechanisms.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2010Article
- Cell cycle checkpoint models for cellular pharmacology of paclitaxel and platinum drugs.The AAPS journal · 2008Article
- Relationship between protein levels and gene expression of dihydropyrimidine dehydrogenase in human tumor cells during growth in culture and in nude mice.Japanese journal of cancer research : Gann · 1998Article
- New insights into the kinetic resistance to anticancer agents.Cytotechnology · 1998Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adherent epithelial cancer cells, such as colon cancer cells, are much more resistant to anthracyclines and to many other major anticancer agents when the cell population reaches confluence. Our purpose is to analyze the mechanisms of this confluence dependent resistance (CDR) that is probably the major cause of the natural resistance of solid tumors to chemotherapy. Some drugs (anthracyclines, etoposide and vincristine) but not others (cisplatin, melphalan and 5-fluorouracil) accumulate less in confluent than in nonconfluent cells. A decrease of the passive transmembrane drug transport in confluent cells is associated to a reduced membrane fluidity. However, the predominant mechanism of CDR is an increase in the intrinsic resistance of the DNA to the drug-induced damage. This mechanism is now relatively well understood for anthracyclines and etoposide that act mainly through an inhibition of the topoisomerase II: as the enzyme level is low in slowly proliferating confluent cells, the number of drug-induced DNA strand breaks is lower than in rapidly growing nonconfluent cells which highly express the topoisomerase II gene. Mechanisms of CDR for the other drugs are less clear and could involve an increase in the ability to repair damaged DNA. Attempts to circumvent CDR could consist in the stimulation of the cell proliferation by hormones or growth factors, or in the recruitment of quiescent cells into the S and G2 phases by previous treatment of confluent cells with infratoxic concentration of DNA-damaging agents.
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.