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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

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...
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

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.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

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.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Cancer02:18

Cancer

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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Related Experiment Video

Updated: May 31, 2026

Bilayer Microfluidic Device for Combinatorial Plug Production
07:03

Bilayer Microfluidic Device for Combinatorial Plug Production

Published on: December 1, 2023

Computational oncology.

Alan T Lefor1

  • 1Jichi Medical University, Yakushiji 3311-1 Shimotsuke City, Tochigi 329-0498, Japan. alefor@jichi.ac.jp

Japanese Journal of Clinical Oncology
|July 12, 2011
PubMed
Summary
This summary is machine-generated.

Computational oncology integrates physical sciences with cancer research, advancing understanding of disease pathogenesis and treatment. This interdisciplinary approach utilizes advanced data analysis and mathematical modeling for improved cancer detection and therapy.

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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

Area of Science:

  • Computational Oncology
  • Interdisciplinary research bridging physical sciences and oncology

Background:

  • Traditional oncology research relies on biological sciences.
  • Emergence of computational oncology integrates physical sciences (physics, mathematics) for novel insights.
  • Need for advanced computational tools and interdisciplinary collaboration.

Purpose of the Study:

  • To explore the role of computational oncology in advancing cancer research.
  • To highlight key areas of investigation within computational oncology.
  • To address challenges and outline future directions for the field.

Main Methods:

  • Data acquisition and analysis using advanced computing hardware and software.
  • Analysis of large databases of cellular pathways to understand biological interrelationships.
  • Development of sophisticated mathematical models (e.g., partial differential equations) of cancer cells and systems, refined with clinical data.

Main Results:

  • Improved accuracy and detection rates in population screening through computer-aided detection of imaging data (e.g., mammography, chest imaging).
  • Emerging insights into cancer pathogenesis and treatment through physics and mathematics applications.
  • Development of refined computational models that more accurately reflect living biological systems.

Conclusions:

  • Computational oncology offers new approaches to understanding cancer.
  • Key areas include data analysis and mathematical modeling.
  • Future progress hinges on effective communication and close collaboration between clinicians and physical scientists.