MAESTRO-Pool Enables Highly Parallel and Specific Mutation-Enrichment Sequencing for Minimal Residual Disease Detection in Cohort Studies.

Background Tracing patient-specific tumor mutations in cell-free DNA (cfDNA) for minimal residual disease (MRD) detection is promising but challenging. Assaying more mutations and cfDNA stands to improve MRD detection but requires highly accurate, efficient sequencing methods and proper calibration...

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Publicado en:Clinical Chemistry Vol. 70; no. 2; pp. 434 - 444
Autores principales: Blewett, Timothy, Rhoades, Justin, Liu, Ruolin, Xiong, Kan, Sridhar, Sainetra, Crnjac, Andjela, Cheng, Ju, Lawless, Aleigha R, Frederick, Dennie T, Flaherty, Keith T, Makrigiorgos, Gerassimos Mike, Adalsteinsson, Viktor A
Formato: Journal Article
Publicado: Oxford University Press / USA Feb2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2024
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      pub: Oxford University Press / USA
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        10.1093/clinchem/hvad203
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        atl: MAESTRO-Pool Enables Highly Parallel and Specific Mutation-Enrichment Sequencing for Minimal Residual Disease Detection in Cohort Studies.
      aug:
        au:
          Blewett, Timothy
          Rhoades, Justin
          Liu, Ruolin
          Xiong, Kan
          Sridhar, Sainetra
          Crnjac, Andjela
          Cheng, Ju
          Lawless, Aleigha R
          Frederick, Dennie T
          Flaherty, Keith T
          Makrigiorgos, Gerassimos Mike
          Adalsteinsson, Viktor A
        affil: Gerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard , Cambridge, MA , United States
      sug:
      ab: Background Tracing patient-specific tumor mutations in cell-free DNA (cfDNA) for minimal residual disease (MRD) detection is promising but challenging. Assaying more mutations and cfDNA stands to improve MRD detection but requires highly accurate, efficient sequencing methods and proper calibration to prevent false detection with bespoke tests. Methods MAESTRO (Minor Allele Enriched Sequencing Through Recognition Oligonucleotides) uses mutation-specific oligonucleotide probes to enrich cfDNA libraries for tumor mutations and enable their accurate detection with minimal sequencing. A new approach, MAESTRO-Pool, which entails pooling MAESTRO probes for all patients and applying these to all samples from all patients, was used to screen for 22 333 tumor mutations from 9 melanoma patients in 98 plasma samples. This enabled quantification of MRD detection in patient-matched samples and false detection in unmatched samples from other patients. To detect MRD, a new dynamic MRD caller was used that computes a probability for MRD detection based on the number of mutations and cfDNA molecules sequenced, thereby calibrating for variations in each bespoke test. Results MAESTRO-Pool enabled sensitive detection of MRD down to 0.78 parts per million (ppm), reflecting a 10- to 100-fold improvement over existing tests. Of the 8 MRD positive samples with ultra-low tumor fractions <10 ppm, 7 were either in upward-trend preceding recurrence or downward-trend aligning with response. Of 784 patient-unmatched tests, only one was found as MRD positive (tumor fraction = 2.7 ppm), suggesting high specificity. Conclusions MAESTRO-Pool enables massively parallel, tumor-informed MRD testing with concurrent benchmarking of bespoke MRD tests. Meanwhile, our new MRD caller enables more mutations and cfDNA molecules to be tested without compromising specificity. These improve the ability for detecting traces of MRD from blood.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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