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Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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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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Cancer-Critical Genes II: Tumor Suppressor Genes01:05

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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.
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Related Experiment Video

Updated: Jun 10, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
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Systematic Modeling of Risk-Associated Copy Number Alterations in Cancer.

Alejandra Guardado1,2, Raúl Aguirre-Gamboa3,4, Victor Treviño1,5

  • 1Institute for Obesity Research, Tecnologico de Monterrey, Monterrey 64710, Nuevo León, Mexico.

International Journal of Molecular Sciences
|October 16, 2024
PubMed
Summary

Copy number alterations (CNAs) offer valuable prognostic insights across 37 cancer types. These genomic biomarkers can define clinically relevant risk groups, aiding in personalized cancer treatment strategies.

Keywords:
TCGAbiomarkerscancer prognosissurvival models

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Area of Science:

  • Genomics
  • Cancer Biology
  • Biomarker Discovery

Background:

  • Cancer prognosis is crucial for treatment planning.
  • Transcriptional signatures are established prognostic tools.
  • Copy number alterations (CNAs) are underutilized genomic biomarkers.

Purpose of the Study:

  • To systematically explore the prognostic power of CNAs in 37 cancer types.
  • To develop and evaluate CNA-derived prognostic models.
  • To assess the clinical relevance of CNAs for cancer survival.

Main Methods:

  • Defined 'deep' and 'soft' alteration modes based on allele copy number.
  • Developed four single-data prognostic models (amplifications, deletions).
  • Generated four multidata prognostic models by combining single-data models.

Main Results:

  • Prognostic model performance is cancer-type dependent, with 'deep' alterations often yielding better results.
  • Some cancers require 'soft' alterations for effective modeling.
  • Combined amplification and deletion models are practical for many cancer types.
  • CNA-derived risk groups are independent of other clinical factors.
  • CNA models identified clinically relevant risk groups in 90% of analyzed cancer types.

Conclusions:

  • CNAs are powerful, underutilized biomarkers for cancer prognosis.
  • CNA-derived models can significantly improve risk stratification across diverse cancer types.
  • This study supports the clinical utility of CNAs in predicting cancer patient survival.