Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster session 14

1217P - Clinical evaluation of a CE-IVD liquid biopsy pan cancer genomic profiling test

Date

21 Oct 2023

Session

Poster session 14

Topics

Pathology/Molecular Biology;  Molecular Oncology;  Genetic and Genomic Testing

Tumour Site

Presenters

Timothy Crook

Citation

Annals of Oncology (2023) 34 (suppl_2): S711-S731. 10.1016/S0923-7534(23)01942-7

Authors

T. Crook1, M. Agarwal2, J. Wadhwa3, N. Shrivastava4, S. Apurwa4, H. Darokar4, R. Datar5, D. Akolkar4, S. Schuster6, A. Gaya7, V. Datta4, D.S. Patil8, A. Saha4, S. Sahni9, S. Limaye10

Author affiliations

  • 1 Oncology Department, Cromwell Hospital, SW5 0TU - London/GB
  • 2 Medical Oncology, Fortis Hospital, 122001 - Haryana/IN
  • 3 Medical Oncology, Medanta - The Medicity, Gurugram, 122001 - Gurugram/IN
  • 4 Molecular Oncology, Datar Cancer Genetics, 422010 - Nashik/IN
  • 5 Management Department, Datar Cancer Genetics, 422010 - Nashik/IN
  • 6 Molecular Oncology, Datar Cancer Genetics Europe GmbH, 95488 - Eckersdorf/DE
  • 7 Radiotherapy, The Cromwell Hospital, SW5 0TU - London/GB
  • 8 Molecular Oncology Dept., Datar Cancer Genetics, 422010 - Nashik/IN
  • 9 Surgical Oncology, Indraprastha Apollo Hospital, 110076 - New Delhi/IN
  • 10 Medical Oncology, SIR H N RELIANCE FOUNDATION HOSPITAL, 0000 - MUMBAI/IN

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 1217P

Background

With the accessibility of precision therapies, a robust circulating cell-free total nucleic acid (cfTNA)-based pan-cancer NGS (Next Generation Sequencing) genomic profiling liquid biopsy (LB) test is a valuable addition to identify genomic signatures for the relevant treatment options, where tissue is not available. Liquid biopsy NGS tests also offer the advantage of continual detection of evolving tumor mutations in a minimally invasive way to help inform cancer patient management.

Methods

Here we report an analysis of SNV (Single Nucleotide Variant) hotspots, gene fusion, copy number amplification (CNA) from 52 recurrently mutated oncogenes, and tumor suppressor genes in 3630 cancer patients, belonging to 44 solid organ cancers. The study used a CE-IVD approved in vitro diagnostic Laboratory Developed test (LDT) from Datar Cancer Genetics. The technology employs NGS tag-sequencing approach to detect pan cancer biomarkers that may guide treatment decisions and management of patients. cfTNA was extracted from peripheral whole blood to prepare tag sequencing NGS libraries and the NGS data were processed using a custom analysis pipeline that can detect up to 0.1% mutant allele frequency.

Results

The SNV analysis revealed TP53 (38%) KRAS (11%), PIK3CA (10%) as the most recurrently mutated genes across cancer types. Distinct SNV clusters were observed across major cancer types such as ESR1, PIK3CA, TP53 in breast cancers, EGFR, GNAS, TP53 in lung cancer, APC, KRAS, TP53, PIK3CA in colorectal cancer. The highest CNA prevalence was observed in MYC, FGFR1, ERBB2, CCND1, CDK4 with cancer-specific signatures. TMPRSS2-ERG emerged as the most prevalent gene fusion, followed by MET and EML4-ALK. Cancers harboring most SNV mutations are colorectal, lung, pancreas, and uterine with an average >1 SNVs detected in all patients. Breast cancer patients harbored the highest number of CNAs followed by colorectal, lung and prostate cancer.

Conclusions

This comprehensive pan cancer cfTNA LB test evaluated on Asian and Caucasian cancer patients successfully identified relevant signatures of major genomic alternations of therapeutic, diagnostic, and prognostic significance that can provide confidence to physicians in the use of the test for their patients.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Datar Cancer Genetics, Nasik, India and Datar Cancer Genetics, Guildford, UK.

Funding

Datar Cancer Genetics, Nasik, India and Datar Cancer Genetics, Guildford, UK.

Disclosure

A. Gaya: Financial Interests, Personal, Stocks/Shares: Datar Cancer Genetics Pvt Ltd. All other authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.