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Bioinformatics Training and Education Program

may, 2021

03may3:00 pm4:00 pmSignatera – A Personalized Tumor-informed Approach to Detect Molecular Residual Disease

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Event Details

Abstract:
We will discuss technical advantages of a personalized and tumor-informed multiplex PCR next generation sequencing assay, called Signatera™, that enables a sensitive, specific, and dynamic detection of molecular disease burden in cell-free DNA (cfDNA) samples. The tumor-informed approach offers detection of circulating tumor DNA (ctDNA) by tracking tumor-specific clonal variants in plasma based on up front tumor tissue and matched normal sequencing data. Signatera test performance has been clinically validated in multiple cancer types including colorectal, non-small cell lung, breast, and bladder cancers. Unlike a standard liquid biopsy, Signatera is not intended to match patients with any particular therapy; rather it is intended to detect and quantify residual disease, detect recurrence earlier, assess therapy effectiveness, and help optimize treatment decisions.

Bio:
Raheleh Salari is the Senior Director of Bioinformatics at Natera, where she leads a team of Bioinformatics Scientists working on cfDNA-based diagnostic tests. Natera is a global leader in cell-free DNA testing with a mission to transform the diagnosis and management of genetic diseases. Natera’s Signatera is at the forefront of innovation, representing a breakthrough technology that provides clinicians with an invaluable tool for sensitive, specific, and dynamic detection of molecular disease burden. Raheleh holds a PhD in Computer Science from Simon Fraser University, Canada, with a background on data structure and algorithm design. After her PhD, she continued her research at the National Center for Biotechnology and Information (NCBI) for slightly over a year.

Lecture by Dr. Raheleh Salari from Natera Inc.

 

Meeting details:

Topic: CDSL webinar
Time: May 3, 2021 03:00 PM Eastern Time (US and Canada)

Join Zoom Meeting
https://umd.zoom.us/j/97941931766

Meeting ID: 979 4193 1766
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+13017158592,,97941931766# US (Washington DC)
+13126266799,,97941931766# US (Chicago)

Time

(Monday) 3:00 pm - 4:00 pm

Location

Online

Organizer

CDSLNCI CCR Cancer Data Science Lab

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