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Related Concept Videos

Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

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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.
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...
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Cancer-Critical Genes I: Proto-oncogenes01:33

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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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Loss of Tumor Suppressor Gene Functions01:12

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Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
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Cancers Originate from Somatic Mutations in a Single Cell02:21

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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...
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Mutations01:35

Mutations

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Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
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Related Experiment Video

Updated: Oct 29, 2025

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
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Non-coding driver mutations in human cancer.

Kerryn Elliott1, Erik Larsson2

  • 1Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.

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Cancer develops from random mutations, with driver mutations being key. While protein-coding mutations are well-studied, non-coding driver mutations are rare but significant, posing detection challenges.

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Area of Science:

  • Genomics
  • Cancer Biology
  • Evolutionary Medicine

Background:

  • Tumorigenesis arises from random mutations and evolutionary selection of driver mutations.
  • Exome sequencing has identified numerous protein-coding somatic driver mutations, some clinically actionable.
  • Whole-genome analysis is advancing, enabling exploration of non-coding regions for driver mutations.

Purpose of the Study:

  • To review recent findings on non-coding driver mutations.
  • To discuss the challenges in identifying selection signals in non-coding DNA.
  • To explore reasons for the apparent infrequency of non-coding driver events.

Main Methods:

  • Review of current literature on cancer genomics and driver mutation discovery.
  • Analysis of challenges in detecting positive selection in non-coding DNA.
  • Comparative analysis of coding versus non-coding mutation landscapes.

Main Results:

  • Non-coding driver mutations appear relatively infrequent compared to coding mutations.
  • Despite their rarity, several notable non-coding driver mutations have been identified.
  • Detecting selection signals in the vast non-coding DNA remains a significant challenge.

Conclusions:

  • The landscape of cancer driver mutations is expanding beyond protein-coding regions.
  • Further research is needed to overcome challenges in identifying non-coding driver mutations.
  • Understanding non-coding drivers is crucial for a comprehensive view of tumorigenesis.