Cancer Therapeutics
Cancer Therapeutics - Related Videos
07:53
Encapsulation of Cancer Therapeutic Agent Dacarbazine Using Nanostructured Lipid Carrier
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Cited by 8 •
2016
The most commonly used method for nanostructured lipid carrier (NLC) synthesis involves oil-in-water emulsion, homogenization and solidification. This was modified here by applying high shear dispersion after solidification to achieve a NLC with desirable size, improved drug encapsulation and drug loading efficiency as a potential carrier for dacarbazine delivery.
06:00
Through the Looking Glass: Time-lapse Microscopy and Longitudinal Tracking of Single Cells to Study Anti-cancer Therapeutics
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Cited by 13 •
2016
Here, we describe a method of long-term time-lapse microscopy to longitudinally track single cells in response to anti-cancer therapeutics.
07:46
In vivo Imaging and Therapeutic Treatments in an Orthotopic Mouse Model of Ovarian Cancer
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Cited by 39 •
2010
Orthotopic animal models of ovarian cancer replicate better human disease and therefore enhance our understanding of cancer progression and tumor response to therapy. A mouse model receives an intrabursal injection of luciferase-expressing ovarian tumor cells. Treatment is administered via oral gavage. Tumor growth is monitored by in vivo imaging system.
09:24
3-D Cell Culture System for Studying Invasion and Evaluating Therapeutics in Bladder Cancer
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Cited by 3 •
2018
The processes governing bladder cancer invasion represent opportunities for biomarker and therapeutic development. Here we present a bladder cancer invasion model which incorporates 3-D culture of tumor spheroids, time-lapse imaging and confocal microscopy. This technique is useful for defining the features of the invasive process and for screening therapeutic agents.
06:12
Evaluation of the Efficacy of the H. pylori Protein HP-NAP as a Therapeutic Tool for Treatment of Bladder Cancer in an Orthotopic Murine Model
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Cited by 5 •
2015
Here the method to establish a syngeneic mouse model of orthotopic bladder tumour to evaluate the anti-tumour efficacy of the bacterial protein HP-NAP is described.
FAQs
Cancer therapeutics can affect tumors through several biological routes, including disrupting DNA replication, blocking growth signals, activating immune responses, and preventing tumor blood-vessel formation. These mechanisms target different requirements of cancer growth and survival. Comparing them helps explain why a treatment may be selected for its ability to interfere with a tumor’s dominant biological behavior.
Molecular features help connect a tumor’s biology with a treatment strategy. Because cancers can differ in the signals that drive them, identifying those features supports targeted drugs and more personalized treatment choices. This approach moves beyond cancer type alone by using biological characteristics to guide therapy selection and can help researchers pursue more precise interventions.
Combination therapy brings together treatments with different mechanisms rather than relying on a single biological intervention. The rationale is to address cancer through multiple vulnerabilities, such as growth signaling and immune activity, within one treatment strategy. Studying how tumors respond to combinations can reveal whether the approach improves control and can also expose patterns associated with treatment resistance.
Treatment selection depends on more than the presence of cancer. Cancer type and stage describe the disease context, while molecular features provide information about tumor biology; patient factors add the individual clinical context. Considering these dimensions together supports personalized treatment planning instead of applying one uniform strategy to every person with cancer.
Evaluation of treatment response is important because slowing tumor growth, eliminating cancer cells, and relieving symptoms represent different outcomes. Researchers also examine resistance, in which a treatment no longer produces the intended control. Linking observed responses with resistance patterns helps identify why a strategy succeeds or fails and directs the search for improved cancer therapeutics.
In biology, cancer therapeutics provides a framework for connecting cellular behavior with medical treatment. Investigators can study how growth signals, immune responses, DNA replication, or tumor blood-vessel formation influence therapeutic effects. This research supports development of targeted drugs and immunotherapies while helping refine personalized approaches for different cancers and patient circumstances.