Analysis of tumors using liquid biopsy

Characteristics:

  • NGS panel and analysis software to screen for the study of the main biomarkers of clinical interest in non-small cell lung cancer and other solid tumors.
  • Characterization of ctDNA obtained from a liquid biopsy sample.
  • SNV, indel, genetic fusion, and CNV detection in a single DNA sample.
  • Based on high sensitivity RNA-probe technology with UMI barcoding (unique molecular identifiers).
  • Mean coverage: 7300X, with mean coverage after UMI analysis: 2500X.
  • The specificity, sensitivity, and repeatability of this kit are >99% and reproducibility is >97%. Coverage (at a read depth >100X) and uniformity of bases covered at >20X is >96%.
  • Limit of detection: SNVs, indels and structural variants: 1%; CNVs: gains of 2.9 copies.

Turnaround time (TAT): 12 working days

Ref. S-202212577

Whole sequence

Sequencing of whole exonic regions of 13 genes:

  • ALK
  • BRAF
  • EGFR
  • ERBB2
  • KIT
  • KRAS
  • MAP2K1
  • MET
  • NRAS
  • PIK3CA
  • RB1
  • ROS1
  • TP53

Capture of 8 fusion genes with all possible rearrangements covered (including intronic regions with breakpoints previously reported in the literature):

  • ALK
  • EGFR
  • ETV6
  • NRG1
  • NTRK1
  • NTRK2
  • RET
  • ROS1

Sequencing of 7 hotspot regions in the NTRK1 and NTRK3 genes.

Detection of CNVs across the whole genome. Validation of results and detection of copy-neutral LOH through a low-density SNP array spanning the whole genome.

Steps to follow
Click here to see the Guidelines for the collection and transport of biological samples

1) Download & fill out

Please cover as many fields as possible in both documents

2) Sample collection

See sample types in the guidelines

3) Pack the sample

Please pack the sample in a way to prevent leakage

4) Send the sample & the request

Please schedule the delivery for Monday–Friday: 8am – 5pm

5) Result: the report

Via: e-mail and/or through the customer portal

Ask us for more information

Liquid Biopsy – Targeted Liquid Biopsy OncoKit

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