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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Trial and Error and Algorithm01:12

Trial and Error and Algorithm

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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Cancer02:18

Cancer

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Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
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What is Cancer?02:12

What is Cancer?

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Cells and tissues must meticulously coordinate their activities for the normal functioning of the human body. Therefore, they exhibit socially responsible behavior - resting, growing, dividing, differentiating, or dying - for the organism’s benefit. Cancer arises when cells divide uncontrollably and invade other tissues or organs.
Although people have known about cancer for centuries, it was only in 1761 that Giovanni Morgagni of Padua performed a detailed autopsy of...
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Standardization of Basket Use in Sialendoscopy: A Ten-Year Retrospective Study
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Basket Trials for Intractable Cancer.

Bao-Dong Qin1, Xiao-Dong Jiao1, Ke Liu1

  • 1Department of Medical Oncology, Changzheng Hospital, Naval Medical University, Shanghai, China.

Frontiers in Oncology
|April 30, 2019
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Genomic-guided therapy in basket trials shows promise for treating intractable cancers. This approach identifies actionable genomic alterations across diverse tumor types, improving patient outcomes.

Keywords:
basket trialgenome-driven oncologyintractable cancermolecular alterationpersonalized precision therapyrefractory cancer

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Area of Science:

  • Oncology
  • Genomics
  • Clinical Trials

Background:

  • Genomic characterization is standard for several cancers, aiding identification of actionable alterations.
  • Intractable cancers are resistant to treatment and include diverse subtypes.
  • Basket trials match patients with specific genomic alterations to targeted therapies.

Purpose of the Study:

  • To review the classification of intractable cancers.
  • To summarize current knowledge on intractable cancers.
  • To explore the role of basket trials in managing intractable cancers.

Main Methods:

  • Review of existing literature on genomic-guided therapy and basket trials.
  • Analysis of clinical benefits in intractable cancer patients.
  • Novel classification of intractable cancer subtypes.

Main Results:

  • Genomic-guided therapy in basket trials demonstrates clinical benefits for intractable cancers.
  • Basket trials offer a strategy for targeting specific genomic alterations across histologies.
  • A novel classification system for intractable cancers is proposed.

Conclusions:

  • Basket trials represent a valuable approach for patients with intractable cancers.
  • Genomic-guided therapy can overcome treatment resistance in diverse cancer types.
  • Further research into basket trials can optimize clinical management for rare and resistant cancers.