A single digital droplet PCR assay to detect multipleexon 11 mutations in tumor and plasma from patients with gastrointestinal stromal tumors

Pieter A Boonstra, Arja Ter Elst, Marco Tibbesma, Lisette J Bosman, Ron Mathijssen, Florence Atrafi, Frits van Coevorden, Neeltje Steeghs, Sheima Farag, Hans Gelderblom, Winette T A van der Graaf, Ingrid M E Desar, Jacqueline Maier, Jelle Overbosch, Albert J H Suurmeijer, Jourik Gietema, Ed Schuuring, Anna K L Reyners

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Abstract

Background: Gastrointestinal stromal tumors (GISTs) are characterized by oncogenicKITmutations that cluster in two exon 11 hotspots. The aim of this study was to develop a single, sensitive, quantitative digital droplet PCR (ddPCR) assay for the detection of common exon 11 mutations in both GIST tumor tissue and in circulating tumor DNA (ctDNA) isolated from GIST patients' plasma.

Methods: A ddPCR assay was designed using two probes that cover both hotspots. Available archival FFPE tumor tissue from 27 consecutive patients with known KIT exon 11 mutations and 9 randomly selected patients without exon 11 mutations were tested. Plasma samples were prospectively collected in a multicenter bio-databank from December 2014. ctDNA was analyzed of 22 patients with an exon 11 mutation and a baseline plasma sample.

Results: The ddPCR assay detected the exon 11 mutation in 21 of 22 tumors with exon 11 mutations covered by the assay. Mutations in ctDNA were detected at baseline in 13 of 14 metastasized patients, but in only 1 of 8 patients with localized disease. In serial plasma samples from 11 patients with metastasized GIST, a decrease in mutant droplets was detected during treatment. According to RECIST 1.1, 10 patients had radiological treatment response and one patient stable disease.

Conclusion: A single ddPCR assay for the detection of multiple exon 11 mutations in ctDNA is a feasible, promising tool for monitoring treatment response in patients with metastasized GIST and should be further evaluated in a larger cohort.

Original languageEnglish
Pages (from-to)13870-13883
Number of pages14
JournalOncotarget
Volume9
Issue number17
DOIs
Publication statusPublished - 2018

Keywords

  • Journal Article

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