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Sensitive detection of tumor mutations from blood and its application to immunotherapy prognosis

Author

Listed:
  • Shuo Li

    (University of California at Los Angeles
    University of California at Los Angeles
    University of California at Los Angeles)

  • Zorawar S. Noor

    (David Geffen School of Medicine at UCLA)

  • Weihua Zeng

    (University of California at Los Angeles)

  • Mary L. Stackpole

    (University of California at Los Angeles
    University of California at Los Angeles
    University of California at Los Angeles)

  • Xiaohui Ni

    (EarlyDiagnostics Inc)

  • Yonggang Zhou

    (University of California at Los Angeles)

  • Zuyang Yuan

    (University of California at Los Angeles)

  • Wing Hung Wong

    (Stanford University
    Stanford University)

  • Vatche G. Agopian

    (David Geffen School of Medicine at UCLA)

  • Steven M. Dubinett

    (University of California at Los Angeles
    David Geffen School of Medicine at UCLA
    David Geffen School of Medicine at UCLA
    VA Greater Los Angeles Health Care System)

  • Frank Alber

    (University of California at Los Angeles
    University of California at Los Angeles)

  • Wenyuan Li

    (University of California at Los Angeles
    University of California at Los Angeles)

  • Edward B. Garon

    (David Geffen School of Medicine at UCLA)

  • Xianghong Jasmine Zhou

    (University of California at Los Angeles
    University of California at Los Angeles)

Abstract

Cell-free DNA (cfDNA) is attractive for many applications, including detecting cancer, identifying the tissue of origin, and monitoring. A fundamental task underlying these applications is SNV calling from cfDNA, which is hindered by the very low tumor content. Thus sensitive and accurate detection of low-frequency mutations (

Suggested Citation

  • Shuo Li & Zorawar S. Noor & Weihua Zeng & Mary L. Stackpole & Xiaohui Ni & Yonggang Zhou & Zuyang Yuan & Wing Hung Wong & Vatche G. Agopian & Steven M. Dubinett & Frank Alber & Wenyuan Li & Edward B. , 2021. "Sensitive detection of tumor mutations from blood and its application to immunotherapy prognosis," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24457-2
    DOI: 10.1038/s41467-021-24457-2
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