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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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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Risk stratification by somatic mutation burden in Ewing sarcoma.

Kevin X Liu1, Nayan Lamba2, William L Hwang3

  • 1Department of Medicine, University of California San Diego School of Medicine, La Jolla, California.

Cancer
|January 3, 2019
PubMed
Summary
This summary is machine-generated.

Higher somatic mutation burden in localized Ewing sarcoma (ES) patients predicts worse outcomes. This finding may improve risk stratification and guide treatment decisions for high-risk individuals.

Keywords:
Ewing sarcomaOncoPanelsomatic mutationssomatic variantsstromal antigen 2 (STAG2)tumor protein 53 (TP53)

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Area of Science:

  • Oncology
  • Genomics
  • Cancer Research

Background:

  • Localized Ewing sarcoma (ES) recurrence affects up to one-third of patients.
  • Current biomarkers lack accuracy in identifying high-risk ES patients.
  • Novel biomarkers are needed for improved risk stratification in localized ES.

Purpose of the Study:

  • To evaluate the utility of mutational burden in predicting outcomes for localized ES.
  • To determine if somatic mutation burden can identify high-risk localized ES patients.
  • To assess the correlation between mutation burden and overall survival (OS) and time to progression (TTP).

Main Methods:

  • Analysis of clinical and genomic data from 99 ES patients (63 with localized disease) via cBioPortal.
  • Somatic mutation counts were determined using cBioPortal mutation calling.
  • Patients were stratified into lower (≤11 mutations) and higher (>11 mutations) burden groups.

Main Results:

  • Higher mutational burden was significantly associated with inferior OS and TTP.
  • In localized ES, higher mutation burden was the sole predictor of inferior OS and TTP.
  • Mutations in STAG2 or TP53 correlated with higher mutational burden and shorter OS.

Conclusions:

  • Elevated somatic mutation burden in localized ES indicates poorer OS and TTP.
  • Somatic mutation burden can enhance risk stratification for localized ES patients.
  • Mutation burden may inform clinical decision-making for localized ES management.