Anticancer Activity
Anticancer Activity - Related Videos
01:49
An Assay To Evaluate the Anticancer Effects of Lactobacillus Cell-Free Supernatant
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2025
This video demonstrates an in vitro assay to study the anticancer effects of Lactobacillus cell-free supernatant (LCFS). Upon exposing colorectal cancer spheroids to varying doses of LCFS, the interaction with the bacterial metabolites in LCFS induces apoptosis in the cancer cells, disrupting the spheroid structure and leading to cell death in a dose-dependent manner.
08:03
Anticancer Efficacy of Photodynamic Therapy with Lung Cancer-Targeted Nanoparticles
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Cited by 7 •
2016
Photodynamic therapy (PDT) is an alternative choice for lung cancer treatment. To increase the therapeutic effect of PDT, lung cancer-targeted nanoparticles combined with chemotherapy were developed. Both in vitro and in vivo anticancer efficacies of PDT with prepared nanoparticles were evaluated.
04:11
Colony Formation Assay: Assessing the Efficacy of Anticancer Agents on Colony-Forming Lung Cancer Cells
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2023
This video describes the colony formation assay, which helps determine lung cancer cells' ability to proliferate indefinitely and form individual colonies. We can analyze the effect of an anticancer agent on the colony-forming cells by analyzing the changes in the number and/or size of the resulting colonies.
09:39
Assessing Specificity of Anticancer Drugs In Vitro
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Cited by 8 •
2016
The goal of this protocol is to assess specificity of anticancer drugs in vitro using mixed cultures containing both tumor and non-tumor cells.
11:14
Anticancer Metal Complexes: Synthesis and Cytotoxicity Evaluation by the MTT Assay
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Cited by 64 •
2013
A method for synthesis of air-sensitive titanium and vanadium anticancer agents is described, along with the evaluation of their cytotoxic activity towards human cancer cell line by the MTT Assay.
FAQs
Disrupting DNA replication can prevent cancer cells from accurately copying their genetic material, which limits continued cell proliferation. This mechanism may also contribute to loss of tumor-cell survival when replication cannot proceed effectively. In research, observing reduced growth after treatment helps investigators determine whether interference with replication is a plausible explanation for the measured anticancer activity.
Programmed cell death provides a different mechanistic route from simply slowing proliferation. If an intervention activates this controlled elimination process in cancer cells, the resulting loss of viable tumor cells can help explain an observed response. Distinguishing cell-cycle suppression from cell death matters because the two mechanisms describe different biological effects and may guide how candidate treatments are compared.
Interfering with signals that support tumor growth and survival can reduce the biological support cancer cells depend on. The therapeutic challenge is selectivity: anticancer effects should be pursued while limiting harm to normal tissues. This principle shapes comparison of small-molecule drugs, biologics, and other interventions, because their effects must be considered alongside potential effects on healthy cells.
Evaluation can progress from cultured-cell studies to animal models and then clinical studies. Cultured cells provide an initial setting for examining whether an intervention affects cancer-cell growth or survival. Animal models add organism-level evidence, while clinical studies assess performance in people. Considering these stages together helps connect laboratory findings with potential treatment strategies in medicine.
Combination treatments are studied as treatment strategies alongside single interventions, with attention to how cancer cells respond or become resistant. Examining these patterns can clarify whether a response depends on one mechanism or on coordinated effects from multiple interventions. This research context supports more informed comparisons of candidate regimens and may help identify approaches that address reduced treatment sensitivity.
These studies contribute more than a measurement of whether cancer cells are affected. They help clarify mechanisms of response and resistance, compare potential treatment strategies, and support development of approaches intended to be more selective. In medicine, that information can inform research on cancer prevention and care, while linking candidate small-molecule drugs, biologics, and combinations to specific development goals.