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Cancer Survival Analysis01:21

Cancer Survival Analysis

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
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Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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Genetic Screens02:46

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
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Cancer-Critical Genes I: Proto-oncogenes01:33

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Related Experiment Video

Updated: Jul 8, 2025

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
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Retracted: Cancer Detection and Prediction Using Genetic Algorithms.

Computational Intelligence And Neuroscience

    Computational Intelligence and Neuroscience
    |December 11, 2023
    PubMed
    Summary

    This article has been retracted. The original study is no longer considered valid scientific literature.

    Area of Science:

    • Scientific publishing
    • Retraction notices

    Context:

    • A previous study (DOI: 10.1155/2022/1871841) has been retracted.

    Purpose:

    • To formally announce the retraction of a published article.

    Summary:

    • The article identified by DOI: 10.1155/2022/1871841 is officially retracted.

    Impact:

    • Ensures scientific integrity by removing unreliable or invalid research from the literature.
    • Informs the scientific community about the status of the retracted publication.

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