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Related Concept Videos

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...
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
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 Stem Cells and Tumor Maintenance02:40

Cancer Stem Cells and Tumor Maintenance

Early diagnosis and treatment can often cure cancer. However, even with treatment, residual cells called cancer stem cells (CSC) might remain, often causing tumor recurrence. These cancer stem cells possess the potential for self-renewal and multi-lineage differentiation and are often responsible for the therapeutic resistance displayed in most cancers.
Cancer stem cells are thought to originate from tissue-specific normal stem cells or progenitor cells. The normal stem cells usually reside in...

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Related Experiment Video

Updated: Jun 16, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Extracting consistent knowledge from highly inconsistent cancer gene data sources.

Xue Gong1, Ruihong Wu, Yuannv Zhang

  • 1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China.

BMC Bioinformatics
|February 9, 2010
PubMed
Summary
This summary is machine-generated.

Cancer gene databases show low overlap but high functional consistency. A new metric reveals that while individual gene capture is inconsistent, functional pathways are well-represented, aiding cancer research.

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Related Experiment Videos

Last Updated: Jun 16, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

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Published on: May 17, 2019

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Published on: July 22, 2020

Area of Science:

  • Genomics
  • Cancer Biology
  • Bioinformatics

Background:

  • Numerous cancer-associated genes identified and cataloged.
  • Evaluating consistency across diverse gene databases is crucial for effective use.

Purpose of the Study:

  • Assess consistency of cancer gene lists from major databases.
  • Develop a metric to evaluate functional consistency.
  • Create a curated database of functionally consistent cancer genes.

Main Methods:

  • Comparative analysis of gene lists from multiple cancer gene databases.
  • Development and application of a novel metric for functional consistency assessment.
  • Data curation and integration into a new database (F-Census).

Main Results:

  • Significant inconsistency observed in overlapping genes between major cancer gene databases.
  • Most previously identified cancer genes were not rediscovered in high-throughput studies.
  • A proposed metric demonstrated high functional consistency across different data sources.
  • The F-Census database was established, containing functionally consistent cancer genes.

Conclusions:

  • Cancer gene data sources exhibit low gene overlap but high functional consistency.
  • Data sources capture partial genes within key cancer-associated pathways.
  • Current sample sizes may be insufficient for individual gene capture but adequate for functional representation.
  • The F-Census database serves as a valuable resource for accessing functionally consistent cancer genes.