Molecular Analysis of Plasma From Patients With ROS1-Positive NSCLC

Ibiayi Dagogo-Jack1, Marguerite Rooney1, Rebecca J Nagy2

  • 1Massachusetts General Hospital Cancer Center and Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.

Abstract

Insights

Plasma genotyping effectively detects ROS1 fusions in non-small cell lung cancer (NSCLC), matching tissue results. This approach shows promise for identifying resistance mutations during targeted therapy.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genetics

Background:

  • Circulating tumor DNA (ctDNA) analysis is an emerging genotyping strategy for detecting tumor-specific genetic alterations in plasma.
  • Experience with detecting ROS1 genetic alterations in plasma, particularly fusions, is limited compared to other non-small cell lung cancer (NSCLC) molecular subsets.

Purpose of the Study:

  • To describe the spectrum of ROS1 fusions in NSCLC.
  • To determine the sensitivity of plasma genotyping for detecting ROS1 fusions.
  • To identify potential genetic mediators of resistance in patients with ROS1-positive NSCLC relapsing on crizotinib.

Main Methods:

  • Queried Guardant Health plasma dataset and an institutional tissue database.
  • Compared plasma findings to tissue results for ROS1 fusions.
  • Utilized Guardant360 NGS assay to detect resistance mutations in plasma post-crizotinib therapy.

Main Results:

  • Seven distinct ROS1 fusion partners were detected in plasma, with CD74-ROS1 fusions predominating (63% in plasma, 50% in tissue).
  • 100% concordance was observed between plasma and tissue-detected ROS1 fusions in seven patients.
  • Plasma genotyping sensitivity for ROS1 fusions at relapse was 50%.
  • Post-crizotinib plasma specimens showed ROS1 kinase domain mutations (33%) and potential ROS1-independent alterations (11%).

Conclusions:

  • Plasma genotyping accurately captures the spectrum of ROS1 fusions found in tissue.
  • Plasma genotyping is a promising method for detecting resistance mutations to ROS1-directed therapies.

Related Concept Videos

Position-effect Variegation02:32

Position-effect Variegation

In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
7.1K
Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
43.7K
Molecular Orbital Theory I02:35

Molecular Orbital Theory I

Overview of Molecular Orbital Theory
47.4K
Serial Position Effect01:03

Serial Position Effect

The serial position effect is a cognitive phenomenon where individuals are more likely to recall the first and last items in a list compared to those in the middle. This effect is divided into the primacy effect and the recency effect. The primacy effect is observed when the initial items in a list are remembered better. This occurs because these items are rehearsed more frequently or receive more elaborative processing, allowing them to be encoded into long-term memory more effectively. For...
542
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
45.8K
Molecular Orbital Theory II03:51

Molecular Orbital Theory II

Molecular Orbital Energy Diagrams
27.3K