Circulating Cell-Free Tumor DNA Analysis of 50 Genes by Next-Generation Sequencing in the Prospective MOSCATO Trial

Purpose: Liquid biopsies based on circulating cell-free DNA (cfDNA) analysis are described as surrogate samples for molecular analysis. We evaluated the concordance between tumor DNA (tDNA) and cfDNA analysis on a large cohort of patients with advanced or metastatic solid tumor, eligible for phase I trial and with good performance status, enrolled in MOSCATO 01 trial (clinical trial NCT01566019). Experimental Design: Blood samples were collected at inclusion and cfDNA was extracted from plasma for 334 patients. Hotspot mutations were screened using next-generation sequencing for 50 cancer genes. Results: Among the 283 patients with tDNA–cfDNA pairs, 121 had mutation in both, 99 in tumor only, 5 in cfDNA only, and for 58 patients no mutation was detected, leading to a 55.0% estimated sensitivity [95% confidence interval (CI), 48.4%–61.6%] at the patient level. Among the 220 patients with mutations in tDNA, the sensitivity of cfDNA analysis was significantly linked to the number of metastatic sites, albumin level, tumor type, and number of lines of treatment. A sensitivity prediction score could be derived from clinical parameters. Sensitivity is 83% in patients with a high score (≥8). In addition, we analyzed cfDNA for 51 patients without available tissue sample. Mutations were detected for 22 patients, including 19 oncogenic variants and 8 actionable mutations. Conclusions: Detection of somatic mutations in cfDNA is feasible for prescreening phase I candidates with a satisfactory specificity; overall sensitivity can be improved by a sensitivity score allowing to select patients for whom cfDNA constitutes a reliable noninvasive surrogate to screen mutations. Clin Cancer Res; 22(12); 2960–8. ©2016 AACR.

[1]  H. Akaike A new look at the statistical model identification , 1974 .

[2]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[3]  David W. Hosmer,et al.  Applied Logistic Regression , 1991 .

[4]  L. Schwartz,et al.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). , 2009, European journal of cancer.

[5]  David Olmos,et al.  Prospective validation of a prognostic score to improve patient selection for oncology phase I trials. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[6]  Michael Bittner,et al.  Pilot study using molecular profiling of patients' tumors to find potential targets and select treatments for their refractory cancers. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[7]  Fabrice Andre,et al.  Implications of personalized medicine—perspective from a cancer center , 2011, Nature Reviews Clinical Oncology.

[8]  Klaus Pantel,et al.  Cell-free nucleic acids as biomarkers in cancer patients , 2011, Nature Reviews Cancer.

[9]  Nikhil Wagle,et al.  High-throughput detection of actionable genomic alterations in clinical tumor samples by targeted, massively parallel sequencing. , 2012, Cancer discovery.

[10]  U. Banerji,et al.  Multi-Purpose Utility of Circulating Plasma DNA Testing in Patients with Advanced Cancers , 2012, PloS one.

[11]  P. A. Futreal,et al.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. , 2012, The New England journal of medicine.

[12]  N. Rosenfeld,et al.  Noninvasive Identification and Monitoring of Cancer Mutations by Targeted Deep Sequencing of Plasma DNA , 2012, Science Translational Medicine.

[13]  N. Rosenfeld,et al.  Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA , 2013, Nature.

[14]  Qing He,et al.  CD19-Targeted T Cells Rapidly Induce Molecular Remissions in Adults with Chemotherapy-Refractory Acute Lymphoblastic Leukemia , 2013, Science Translational Medicine.

[15]  Jorge S. Reis-Filho,et al.  Going with the Flow: From Circulating Tumor Cells to DNA , 2013, Science Translational Medicine.

[16]  Carlos Caldas,et al.  Analysis of circulating tumor DNA to monitor metastatic breast cancer. , 2013, The New England journal of medicine.

[17]  F. Nicolantonio,et al.  Liquid biopsy: monitoring cancer-genetics in the blood , 2013, Nature Reviews Clinical Oncology.

[18]  J. Vadgama,et al.  The Clinical Utilization of Circulating Cell Free DNA (CCFDNA) in Blood of Cancer Patients , 2013, International journal of molecular sciences.

[19]  Carlos Caldas,et al.  The implications of clonal genome evolution for cancer medicine. , 2013, The New England journal of medicine.

[20]  N. McGranahan,et al.  The causes and consequences of genetic heterogeneity in cancer evolution , 2013, Nature.

[21]  Nicolai J. Birkbak,et al.  Computational optimisation of targeted DNA sequencing for cancer detection , 2013, Scientific Reports.

[22]  F. André,et al.  The genetic complexity of common cancers and the promise of personalized medicine: is there any hope? , 2014, The Journal of pathology.

[23]  C. Paweletz,et al.  Realizing the potential of plasma genotyping in an age of genotype-directed therapies. , 2014, Journal of the National Cancer Institute.

[24]  C. Paweletz,et al.  Noninvasive Detection of Response and Resistance in EGFR-Mutant Lung Cancer Using Quantitative Next-Generation Genotyping of Cell-Free Plasma DNA , 2014, Clinical Cancer Research.

[25]  L. Guerra,et al.  Crizotinib in advanced, chemoresistant anaplastic lymphoma kinase-positive lymphoma patients. , 2014, Journal of the National Cancer Institute.

[26]  S Michiels,et al.  Plasma circulating tumor DNA as an alternative to metastatic biopsies for mutational analysis in breast cancer. , 2014, Annals of oncology : official journal of the European Society for Medical Oncology.

[27]  Bert Vogelstein,et al.  DETECTION OF CIRCULATING TUMOR DNA IN EARLY AND LATE STAGE HUMAN MALIGNANCIES , 2014 .

[28]  L. Diaz,et al.  Liquid biopsies: genotyping circulating tumor DNA. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[29]  N. Girard,et al.  Noninvasive Diagnosis of Actionable Mutations by Deep Sequencing of Circulating Free DNA in Lung Cancer from Never-Smokers: A Proof-of-Concept Study from BioCAST/IFCT-1002 , 2014, Clinical Cancer Research.

[30]  A. Eggermont,et al.  Abstract CT240: Molecular screening for cancer treatment optimization (MOSCATO 01): a prospective molecular triage trial; Interim analysis of 420 patients , 2014 .

[31]  Thomas Bachelot,et al.  Comparative genomic hybridisation array and DNA sequencing to direct treatment of metastatic breast cancer: a multicentre, prospective trial (SAFIR01/UNICANCER). , 2014, The Lancet. Oncology.

[32]  N. Tunariu,et al.  Serial Next-Generation Sequencing of Circulating Cell-Free DNA Evaluating Tumor Clone Response To Molecularly Targeted Drug Administration , 2015, Clinical Cancer Research.

[33]  I. Bièche,et al.  Circulating tumor DNA as a non‐invasive substitute to metastasis biopsy for tumor genotyping and personalized medicine in a prospective trial across all tumor types , 2015, Molecular oncology.

[34]  A. Bardia O3.1Targeting the estrogen receptor: old receptor, new drug(s) , 2015 .

[35]  C. Massard O3.7Enriching phase I trials with molecular alterations: Interim analysis of 708 patients enrolled in the MOSCATO 01 , 2015 .