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An ultrasensitive method for detection of cell-free RNA

Author

Listed:
  • Monica C. Nesselbush

    (Stanford University
    Stanford University
    Stanford University)

  • Bogdan A. Luca

    (Stanford University)

  • Young-Jun Jeon

    (Sungkyunkwan University)

  • Isabel Jabara

    (Stanford University
    Stanford University
    Stanford University)

  • Catherine B. Meador

    (Massachusetts General Hospital Cancer Center
    Massachusetts General Hospital and Harvard Medical School)

  • Andrea Garofalo

    (Stanford University
    Stanford University
    Stanford University)

  • Michael S. Binkley

    (Stanford University
    Stanford University)

  • Angela B. Hui

    (Stanford University
    Stanford University)

  • Iris van ‘t Erve

    (Stanford University
    Stanford University)

  • Nova Xu

    (Stanford University
    Stanford University)

  • William Y. Shi

    (Stanford University
    Stanford University
    Stanford University)

  • Kevin J. Liu

    (Stanford University
    Stanford University
    Stanford University)

  • Takeshi Sugio

    (Stanford University
    Stanford University)

  • Noah Kastelowitz

    (Stanford University
    Stanford University)

  • Emily G. Hamilton

    (Stanford University
    Stanford University
    Stanford University)

  • Chih Long Liu

    (Stanford University
    Stanford University)

  • Mari Olsen

    (Stanford University
    Stanford University)

  • Rene F. Bonilla

    (Stanford University
    Stanford University)

  • Yi Peng Wang

    (Stanford University
    Stanford University)

  • Alice Jiang

    (Stanford University
    Stanford University)

  • Brianna Lau

    (Stanford University
    Stanford University)

  • Jordan Eichholz

    (Memorial Sloan Kettering Cancer Center)

  • Mandeep Banwait

    (Massachusetts General Hospital Cancer Center
    Massachusetts General Hospital and Harvard Medical School)

  • Joseph Schroers-Martin

    (Stanford University
    Stanford University
    Stanford University)

  • Jan Boegeholz

    (Stanford University
    Stanford University)

  • Daniel A. King

    (Stanford University)

  • Helen Luikart

    (Stanford University)

  • Mohammad S. Esfahani

    (Stanford University
    Stanford University)

  • Mahya Mehrmohamadi

    (Stanford University
    Stanford University)

  • Henning Stehr

    (Stanford University)

  • Tyler Raclin

    (Stanford University
    Stanford University)

  • Robert Tibshirani

    (Stanford University)

  • Kiran Khush

    (Stanford University)

  • Sandy Srinivas

    (Stanford University)

  • Helena Yu

    (Memorial Sloan Kettering Cancer Center)

  • Angela J. Rogers

    (Stanford University)

  • Viswam S. Nair

    (Fred Hutchinson Cancer Center
    University of Washington)

  • James M. Isbell

    (Memorial Sloan Kettering Cancer Center)

  • Bob T. Li

    (Memorial Sloan Kettering Cancer Center)

  • Zofia Piotrowska

    (Massachusetts General Hospital Cancer Center
    Massachusetts General Hospital and Harvard Medical School)

  • Lecia V. Sequist

    (Massachusetts General Hospital Cancer Center
    Massachusetts General Hospital and Harvard Medical School)

  • Aaron N. Hata

    (Massachusetts General Hospital and Harvard Medical School
    Massachusetts General Hospital)

  • Joel W. Neal

    (Stanford University
    Stanford University)

  • Heather A. Wakelee

    (Stanford University
    Stanford University)

  • Andrew J. Gentles

    (Stanford University)

  • Ash A. Alizadeh

    (Stanford University
    Stanford University
    Stanford University
    Stanford University)

  • Maximilian Diehn

    (Stanford University
    Stanford University
    Stanford University)

Abstract

Sensitive methods for detection of cell-free RNA (cfRNA) could facilitate non-invasive gene expression profiling and monitoring of diseases1–6. Here we describe RARE-seq (random priming and affinity capture of cfRNA fragments for enrichment analysis by sequencing), a method optimized for cfRNA analysis. We demonstrate that platelet contamination can substantially confound cfRNA analyses and develop an approach to overcome it. In analytical validations, we find RARE-seq to be approximately 50-fold more sensitive for detecting tumour-derived cfRNA than whole-transcriptome RNA sequencing (RNA-seq), with a limit of detection of 0.05%. To explore clinical utility, we profiled 437 plasma samples from 369 individuals with cancer or non-malignant conditions and controls. Detection of non-small-cell lung cancer expression signatures in cfRNA increased with stage (6 out of 20 (30%) in stage I; 5 out of 8 (63%) in stage II; 10 out of 15 (67%) in stage III; 80 out of 96 (83% sensitivity) in stage IV at 95% specificity) and RARE-seq was more sensitive than tumour-naive circulating tumour DNA (ctDNA) analysis. In patients with EGFR-mutant non-small-cell lung cancer who developed resistance to tyrosine kinase inhibitors, we detected both histological transformation and mutation-based resistance mechanisms. Finally, we demonstrate the potential utility of RARE-seq for determination of tissue of origin, assessing benign pulmonary conditions and tracking response to mRNA vaccines. These results highlight the potential value of ultrasensitive cfRNA analysis and provide proof of concept for diverse clinical applications.

Suggested Citation

  • Monica C. Nesselbush & Bogdan A. Luca & Young-Jun Jeon & Isabel Jabara & Catherine B. Meador & Andrea Garofalo & Michael S. Binkley & Angela B. Hui & Iris van ‘t Erve & Nova Xu & William Y. Shi & Kevi, 2025. "An ultrasensitive method for detection of cell-free RNA," Nature, Nature, vol. 641(8063), pages 759-768, May.
  • Handle: RePEc:nat:nature:v:641:y:2025:i:8063:d:10.1038_s41586-025-08834-1
    DOI: 10.1038/s41586-025-08834-1
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