Visualization of intra tumor heterogeneity by simultaneous analysis of tumor and liquid biopsy samples in stage M neuroblastomas

2017 ◽  
Author(s):  
T Gerber ◽  
LJ Barber ◽  
SC Huetter ◽  
D Bogen ◽  
MN Davies ◽  
...  
2017 ◽  
Vol 28 ◽  
pp. v450
Author(s):  
J. Garcia Foncillas ◽  
L. Álvarez ◽  
A. Rodrigo ◽  
A. Terrádez

2018 ◽  
Author(s):  
Mario Terracciano ◽  
Claudio Forcato ◽  
Edoardo Petrini ◽  
Alberto Ferrarini ◽  
Valentina del Monaco ◽  
...  

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 11536-11536
Author(s):  
Joshua K. Sabari ◽  
Ai Ni ◽  
Adrian Lee ◽  
Nick Pavlakis ◽  
Stephen John Clarke ◽  
...  

11536 Background: Liquid biopsy for plasma ctDNA NGS is a rapidly evolving science. Plasma ctDNA assays are commercially available and are increasingly adopted in the community with a paucity of evidence-based guidance. We set out to study the optimal timing and utility of plasma ctDNA NGS in clinic. Methods: Pts with advanced NSCLC who were driver unknown, defined as not having prior tissue NGS or clinical concern for tumor heterogeneity that may affect treatment decisions, were eligible. Peripheral blood was collected in a Streck tube (10mL), DNA extracted, and subjected to a bias-corrected hybrid-capture 21 gene targeted NGS assay in a CLIA lab with unique reads at 3000x and sensitive detection at variant allele frequency above 0.1% (ResolutionBio Bellevue, WA). Pts also had concurrent tissue NGS via MSK IMPACT. Clinical endpoints included detection of oncogenic drivers in plasma, ability to match pts to targeted therapy, concordance and turnaround time of plasma and tissue NGS. Results: Forty-one pts were prospectively accrued. Plasma ctDNA detected an oncogenic driver in 39% (16/41) of pts, of whom 17% (7/41) were matched to targeted therapy; including pts matched to clinical trials for HER2 exon 20 insertionYVMA, BRAF L597Q and MET exon14. Mean turnaround time for plasma was 7 days (4-12) and 28 days (20-43) for tissue. Plasma ctDNA was detected in 56% (23/41) of pts; detection was 40% (8/20) if blood was drawn on active therapy and 71% (15/21) if drawn off therapy, either at diagnosis or progression (Odds ratio 0.28, 95% CI 0.06 - 1.16; p = 0.06). All pts had concurrent tissue NGS; of the 10 samples resulted, there was 100% driver concordance between tissue and plasma in pts drawn off therapy. Conclusions: In pts who were driver unknown or who had clinical concern for tumor heterogeneity, plasma ctDNA NGS identified a variety of oncogenic drivers with a short turnaround time and matched them to targeted therapy. Plasma ctDNA detection was more frequent at diagnosis of metastatic disease or at progression. A positive finding of an oncogenic driver in plasma is highly specific, but a negative finding may still require tissue biopsy.


2019 ◽  
Author(s):  
Aparna R. Parikh ◽  
Ignaty Leshchiner ◽  
Liudmila Elagina ◽  
Lipika Goyal ◽  
Chaya Levovitz ◽  
...  

2019 ◽  
Vol 63 (6) ◽  
pp. 449-455 ◽  
Author(s):  
Geoffroy Poulet ◽  
Joséphine Massias ◽  
Valerie Taly

Liquid biopsy provides the opportunity of detecting, analyzing and monitoring cancer in various body effluents such as blood or urine instead of a fragment of cancer tissue. It is composed of different biological matrices such as circulating tumor cells (CTCs), cell free nucleic acids, exosomes or tumors “educated platelets.” In addition to representing a non- or minimally invasive procedure, it should represent a better view of tumor heterogeneity and allows for real-time monitoring of cancer evolution. Recent technological and molecular advances, greatly facilitated by the use of microfluidics in many cases, have permitted large progresses both in our ability to purify and analyze liquid biopsy components. In particular, the great developments of droplet-based digital PCR and the various optimizations of next generation sequencing technologies are central to the several validations of CTC-free DNA as a strong cancer biomarker. However, complete adoption of liquid biopsy in clinics will require pursuing recent efforts in the standardization of procedures both on the pre-analytical and analytical aspects.


Author(s):  
Marco Russano ◽  
Andrea Napolitano ◽  
Giulia Ribelli ◽  
Michele Iuliani ◽  
Sonia Simonetti ◽  
...  

2019 ◽  
Vol 14 (10) ◽  
pp. S796-S797
Author(s):  
V. De Sa ◽  
H. Freitas ◽  
C. De Paula ◽  
V. Cordeiro De Lima ◽  
D. Carraro

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