Variant allele frequency: a decision-making tool in precision oncology?

Luca Boscolo Bielo, Dario Trapani, Matteo Repetto, Edoardo Crimini, Carmine Valenza, Carmen Belli, Carmen Criscitiello, Antonio Marra, Vivek Subbiah, Giuseppe Curigliano

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

Precision oncology requires additional predictive biomarkers for targeted therapy selection. Variant allele frequency (VAF), measuring the proportion of variant alleles within a genomic locus, provides insights into tumor clonality in somatic genomic testing, yielding a strong rationale for targeting dominant cancer cell populations. The prognostic and predictive roles of VAF have been evaluated across different studies. Yet, the absence of validated VAF thresholds and a lack of standardization between sequencing assays currently hampers its clinical utility. Therefore, analytical and clinical validation must be further examined. This Review summarizes the evidence regarding the use of VAF as a predictive biomarker and discusses challenges and opportunities for its clinical implementation as a decision-making tool for targeted therapy selection.

Original languageEnglish (US)
Pages (from-to)1058-1068
Number of pages11
JournalTrends in Cancer
Volume9
Issue number12
DOIs
StatePublished - Dec 2023
Externally publishedYes

Keywords

  • biomarker qualification
  • precision oncology
  • predictive biomarker
  • targeted therapy
  • variant allele frequency

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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