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Related Concept Videos

Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

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 I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

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,...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...

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Related Experiment Video

Updated: May 14, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

canEvolve: a web portal for integrative oncogenomics.

Mehmet Kemal Samur1, Zhenyu Yan, Xujun Wang

  • 1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, Massachusetts, United States of America.

Plos One
|February 19, 2013
PubMed
Summary

The canEvolve web portal integrates and analyzes vast cancer genomics data, offering researchers tools for hypothesis generation and discovery. It provides access to gene expression, copy number alterations, and network analysis for over 10,000 patients across 90 studies.

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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Last Updated: May 14, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
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Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
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Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Area of Science:

  • Oncogenomics
  • Bioinformatics
  • Cancer Research

Background:

  • Public repositories are accumulating large-scale cancer genome data from initiatives like TCGA.
  • There is a critical need for user-friendly tools to integrate and interpret this data.
  • The canEvolve web portal was developed to address this need.

Purpose of the Study:

  • To provide a web-based platform for the integration and analysis of cancer genomics data.
  • To facilitate hypothesis generation for cancer researchers.
  • To make complex oncogenomic data accessible and interpretable.

Main Methods:

  • Development of the canEvolve web portal.
  • Integration of gene, miRNA, and protein expression profiles.
  • Incorporation of copy number alterations and protein-protein interaction data.
  • Implementation of primary, integrative, and network analysis functionalities.
  • Inclusion of survival analysis correlating gene expression with clinical outcomes.

Main Results:

  • canEvolve stores and analyzes diverse oncogenomics data from 90 cancer studies (>10,000 patients).
  • Query functionalities include differential expression, copy number analysis, and gene set enrichment.
  • Network analysis capabilities encompass gene co-expression and regulatory networks.
  • Correlations between gene expression and survival outcomes are provided.

Conclusions:

  • canEvolve offers unique features including multiple data types, integrative analysis for oncogenesis regulators, and network analysis.
  • The portal facilitates integrative and meta-analysis of cancer genomics datasets.
  • canEvolve empowers researchers with tools for novel discoveries in cancer biology.