Evidence map›Paper›PMID 38069911›Full record

ArticleClinical chemistry2024

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

Timothy Blewett, Justin Rhoades, Ruolin Liu, Kan Xiong, Sainetra Sridhar, Andjela Crnjac, Ju Cheng, Aleigha R Lawless, Dennie T Frederick, Keith T Flaherty and 2 more

Open access · greenAbstract read
In one paragraph

Article in Clinical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Minimal Residual Disease Enhances Prognostic Stratification beyond Pathologic Response in Resectable Non-Small Cell Lung Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Trial
  2. Article
  3. Article
  4. Review
  5. ctDNA MRD after CAR-T.Blood advances · 2025
    Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Timothy BlewettGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Justin RhoadesGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Ruolin LiuGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Kan XiongGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.ORCID 0000-0002-0639-5803
Sainetra SridharGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Andjela CrnjacGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Ju ChengGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Aleigha R LawlessMassachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States.
Dennie T FrederickGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Keith T FlahertyMassachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States.
Gerassimos Mike MakrigiorgosDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, United States.
Viktor A AdalsteinssonGerstner Center for Cancer Diagnostics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Broad Institute · USMassachusetts General Hospital · USBrigham and Women's Hospital · US

Funding

Comprehensive minimal residual disease tracking in cancerR01CA221874 · NCI · DANA-FARBER CANCER INST · PI Viktor Adalsteinsson, G. Mike Makrigiorgos · 2018 to 2026
$2.5M
NCI NIH HHS R01 CA221874NIH HHS R01 CA221874
6 · The paper itself

Abstract

backgroundTracing 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.

methodsMAESTRO (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.

resultsMAESTRO-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.

conclusionsMAESTRO-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.

Indexed as

Cell-Free Nucleic AcidsHigh-Throughput Nucleotide SequencingCohort StudiesHumansMutationNeoplasm, ResidualCell-Free Nucleic Acids

Identifiers

PMID38069911
PMCPMC10847667
OpenAlexW4389509882

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.