From rags to riches : cell-free RNA analysis for non-invasive cancer detection and characterization

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Abstract/Contents

Abstract
Cell-free RNA (cfRNA) analysis could allow non-invasive tumor gene expression profiling and monitoring of cancers. Here, we describe RARE-Seq (Random priming & Affinity capture of cell-free RNA fragments for Enrichment analysis by Sequencing), a novel cfRNA profiling platform optimized for the simultaneous noninvasive detection of tissue-derived transcripts and associated somatic mutations. We show that platelet contamination can substantially confound cfRNA analyses and describe a framework to overcome it. In analytical validations, we find RARE-Seq to be ~50-fold more sensitive for detecting tumor-derived transcriptomes than whole transcriptome strategies, corresponding to a limit of detection of 0.05%. To explore the clinical utility of RARE-Seq, we profiled 269 samples from 201 individuals with cancer or non-malignant conditions and controls. Detection of non-small cell lung cancer (NSCLC) expression signatures in cfRNA increased with stage, ranging from 40% in stage I to 87% in stage IV, with driver somatic mutations detectable in cfRNA from 44% of stage IV patients. When applied to EGFR mutant NSCLC patients who developed resistance to tyrosine kinase inhibitors, RARE-Seq detected both histologic transformation and mutation-based resistance mechanisms. Furthermore, RARE-Seq detected other solid tumor types and identified tissue of origin with high accuracy. Lastly, we demonstrate the potential utility of RARE-Seq for assessing benign pulmonary conditions and tracking response to mRNA vaccines. Together, these results highlight the potential value of ultrasensitive cfRNA analysis and provide proof-of-concept for multiple potential clinical applications.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2024; ©2024
Publication date 2024; 2024
Issuance monographic
Language English

Creators/Contributors

Author Nesselbush, Monica Christine
Degree supervisor Diehn, Maximilian
Thesis advisor Diehn, Maximilian
Thesis advisor Alizadeh, Ash
Thesis advisor Gentles, Andrew J
Degree committee member Alizadeh, Ash
Degree committee member Gentles, Andrew J
Associated with Stanford University, School of Medicine
Associated with Stanford University, Cancer Biology Program

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Monica C. Nesselbush.
Note Submitted to the Cancer Biology Program.
Thesis Thesis Ph.D. Stanford University 2024.
Location https://purl.stanford.edu/wx828cp9031

Access conditions

Copyright
© 2024 by Monica Christine Nesselbush
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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