DELFI Diagnostics Licenses GEMINI Technology from Johns Hopkins University: Study Demonstrates High Performance for Early Stage Lung Cancer Detection When Integrated with DELFI Diagnostics's Platform

Error message

Notice: Undefined property: stdClass::$ds_changed in eval() (line 16 of /var/www/7/modules/php/php.module(80) : eval()'d code).
Notice: Undefined property: stdClass::$ss_search_api_url in eval() (line 20 of /var/www/7/modules/php/php.module(80) : eval()'d code).
Notice: Undefined property: stdClass::$tm_title in eval() (line 20 of /var/www/7/modules/php/php.module(80) : eval()'d code).
Notice: Undefined property: stdClass::$ds_changed in eval() (line 16 of /var/www/7/modules/php/php.module(80) : eval()'d code).
Notice: Undefined property: stdClass::$ss_search_api_url in eval() (line 20 of /var/www/7/modules/php/php.module(80) : eval()'d code).
Notice: Undefined property: stdClass::$tm_title in eval() (line 20 of /var/www/7/modules/php/php.module(80) : eval()'d code).

Now, for the first time, researchers have achieved genome-wide detection of tumor-specific mutations from the same low-coverage whole genome sequencing methods that form the basis of the DELFI Diagnostics platform.

Metadata

Provider:

PR Newswire

Retrieved on:

Thursday, July 27, 2023

Information

Tags:

DNA, Nucleic acid thermodynamics, PALO, DELFI, Cancer, Lung cancer, Deletion, Carcinoma, Non-small-cell lung cancer, Doctor of Philosophy, Whole genome sequencing, MD, Algorithm, AUC, Entrepreneurship, GEMINI, Incidence, Medical imaging, Nature Genetics

Geotags:

CALIFORNIA, MARYLAND

Organisation:

DELFI DIAGNOSTICS

Summary

Key Points:

Now, for the first time, researchers have achieved genome-wide detection of tumor-specific mutations from the same low-coverage whole genome sequencing methods that form the basis of the DELFI Diagnostics platform.
The combined technology also showed high performance in other applications including monitoring response to therapy, and distinguishing small-cell lung cancer from non-small cell lung cancer.
"We founded DELFI Diagnostics to address population-health needs in cancer detection with low-cost, flexibly deployable technology," said Nicholas Dracopoli, PhD, DELFI Diagnostics's Chief Scientific Officer and Co-Founder.
"We have already shown that this platform can detect lung cancer with very high sensitivity," said Peter Bach, MD, DELFI Diagnostics's Chief Medical Officer.

DELFI Diagnostics Licenses GEMINI Technology from Johns Hopkins University: Study Demonstrates High Performance for Early Stage Lung Cancer Detection When Integrated with DELFI Diagnostics's Platform

BALTIMORE and PALO ALTO, Calif., July 27, 2023 /PRNewswire/ -- DELFI Diagnostics, a pioneering developer of a new class of high-performance, accessible liquid biopsy tests for early cancer detection and monitoring, has exclusively licensed a new, highly accurate method for identifying somatic genomic alterations in cell-free DNA (cfDNA) known as GEMINI, or GEnome-wide Mutational Incidence for Non Invasive detection of cancer.

Until now, first-generation liquid biopsy technologies relied on expensive, deep, targeted sequencing to detect mutations associated with cancer. Now, for the first time, researchers have achieved genome-wide detection of tumor-specific mutations from the same low-coverage whole genome sequencing methods that form the basis of the DELFI Diagnostics platform.

In a study published today in Nature Genetics, researchers showed that GEMINI, combined with the approach used by DELFI Diagnostics, could successfully identify early stage lung cancers – those cancers that are most critical to detect to change patient outcome. In a cohort of lung cancer cases and non-cancer controls (n=163), combining the GEMINI analysis with DELFI's fragmentomics approach yielded an area under the receiver operator curve (AUC), a common measure of diagnostic accuracy, of 0.93¹. The combined technology also showed high performance in other applications including monitoring response to therapy, and distinguishing small-cell lung cancer from non-small cell lung cancer.

"We founded DELFI Diagnostics to address population-health needs in cancer detection with low-cost, flexibly deployable technology," said Nicholas Dracopoli, PhD, DELFI Diagnostics's Chief Scientific Officer and Co-Founder. "Whenever we evaluate new technology, it must meet multiple criteria: It must help boost early stage cancer detection, and it must be able to be applied to the sequencing data generated from our low-cost platform. GEMINI fulfills both those requirements and shows how we can further refine the performance of our platform without changing our lab processes."

DELFI Diagnostics's fragmentomics-based approach applies machine learning-based algorithms to low-coverage, whole genome sequencing data from cfDNA. Beyond the genome-wide analysis of fragment length profiles that reflect the aberrant packaging of DNA in cancer cells, the whole-genome sequencing approach also reveals many other changes in DNA features including somatic genomic alterations, amplifications, deletions, and more.

"We have already shown that this platform can detect lung cancer with very high sensitivity," said Peter Bach, MD, DELFI Diagnostics's Chief Medical Officer. "This new study shows that what was a first-generation approach to cancer detection -- looking for genomic mutations -- can now be extended genome-wide and enhanced with the DELFI platform, improving early stage cancer detection with no additional sequencing or lab prep cost."

About DELFI Diagnostics

DELFI Diagnostics is developing a new class of liquid biopsy tests for early cancer detection based on altered genome-wide fragmentation profiles, also known as "fragmentomes," representing aberrant packaging of DNA in cancer cells. By applying advanced machine learning algorithms, these fragment patterns are detectable at a very low sequencing cost. DELFI Diagnostics ("DNA EvaLuation of Fragments for early Interception") is using this technology to develop highly sensitive and specific cancer detection assays intended for wide and cost-effective distribution and adoption globally.

Bruhm, Mathios, Foda, et al., Single molecule genome-wide mutation profiles of cell-free DNA for non-invasive detection of cancer. Nature Genetics, 2023.

View original content to download multimedia:https://www.prnewswire.com/news-releases/delfi-diagnostics-licenses-gemini-technology-from-johns-hopkins-university-study-demonstrates-high-performance-for-early-stage-lung-cancer-detection-when-integrated-with-delfi-diagnosticss-platform-301887529.html

SOURCE DELFI Diagnostics