Disorders of dysregulated signal traffic through the RAS-MAPK pathway: phenotypic spectrum and molecular mechanisms

Marco Tartaglia1, Bruce D Gelb

  • 1Dipartimento di Ematologia, Oncologia e Medicina Molecolare, Istituto Superiore di Sanità, Rome, Italy. mtartaglia@iss.it

Insights

Germline mutations in RAS GTPases and related proteins cause developmental disorders by disrupting the RAF-MEK-ERK signaling pathway. This overview details the phenotypic spectrum, molecular mechanisms, and genotype-phenotype correlations of these RASopathies.

Area of Science:

  • Molecular Biology
  • Genetics
  • Developmental Biology

Background:

  • RAS GTPases regulate critical cellular functions, including proliferation and differentiation.
  • The RAF-MEK-ERK pathway (a mitogen-activated protein kinase cascade) is central to development and growth.
  • Dysregulation of RAS-MAPK signaling is implicated in oncogenesis.

Purpose of the Study:

  • To review the phenotypic spectrum of disorders caused by germline mutations in the RAS-MAPK pathway.
  • To explore the molecular mechanisms underlying RAS-MAPK pathway dysregulation in inherited conditions.
  • To examine genotype-phenotype correlations in RASopathies.

Main Methods:

  • Literature review of studies on RASopathies and RAS-MAPK signaling.
  • Analysis of genetic mutations affecting RAS proteins, regulators, and downstream effectors.
  • Correlation of genetic findings with clinical phenotypes.

Main Results:

  • Inherited mutations in RAS pathway components lead to a spectrum of disorders (RASopathies).
  • These disorders share features like facial dysmorphism, cardiac defects, and developmental issues.
  • Mutations affect RAS proteins, their regulators, or downstream signal transducers, causing pathway hyperactivation.

Conclusions:

  • Germline mutations in the RAS-MAPK pathway cause a distinct group of developmental disorders.
  • Understanding these RASopathies reveals crucial roles of RAS signaling in human development.
  • Further research into genotype-phenotype correlations can guide clinical management and therapeutic strategies.

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