Evidence map›Paper›PMID 39277692›Full record

ArticleNPJ precision oncology2024

Pan-tumor validation of a NGS fraction-based MSI analysis as a predictor of response to Pembrolizumab.

Douglas I Lin, Julia C F Quintanilha, Natalie Danziger, Lixin Lang, Diane Levitan, Cynthia Hayne, Matthew C Hiemenz, David L Smith, Lee A Albacker, Jeffrey Leibowitz and 10 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Pan-tumor validation of FoundationOneFrontiers in oncology · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
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

20 authors.

Douglas I LinFoundation Medicine, Inc., Boston, MA, USA. dlin@foundationmedicine.com.ORCID http://orcid.org/0000-0003-0105-9760
Julia C F QuintanilhaFoundation Medicine, Inc., Boston, MA, USA.
Natalie DanzigerFoundation Medicine, Inc., Boston, MA, USA.ORCID http://orcid.org/0000-0003-2642-7160
Lixin LangMerck & Co., Inc., Rahway, NJ, USA.
Diane LevitanMerck & Co., Inc., Rahway, NJ, USA.
Cynthia HayneBeth Israel Deaconess Medical Center, Boston, MA, USA.
Matthew C HiemenzFoundation Medicine, Inc., Boston, MA, USA.
David L SmithFoundation Medicine, Inc., Boston, MA, USA.
Lee A AlbackerFoundation Medicine, Inc., Boston, MA, USA.ORCID http://orcid.org/0000-0002-5070-1783
Jeffrey LeibowitzFoundation Medicine, Inc., Boston, MA, USA.
Douglas A MataFoundation Medicine, Inc., Boston, MA, USA.ORCID http://orcid.org/0000-0002-8059-8668
Brennan DeckerFoundation Medicine, Inc., Boston, MA, USA.
Sotirios LakisFoundation Medicine GmbH, Penzberg, Germany.
Nimesh R PatelFoundation Medicine, Inc., Boston, MA, USA.ORCID http://orcid.org/0000-0001-6013-5562
Ryon P GrafFoundation Medicine, Inc., Boston, MA, USA.
Julia A ElvinFoundation Medicine, Inc., Boston, MA, USA.
Jeffrey S RossFoundation Medicine, Inc., Boston, MA, USA.
Varun PattaniFoundation Medicine, Inc., Boston, MA, USA.
Richard S P HuangFoundation Medicine, Inc., Boston, MA, USA.ORCID http://orcid.org/0000-0001-8395-5168
Amy K WehnMerck & Co., Inc., Rahway, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microsatellite instability high (MSI-H) and mismatch repair deficient (dMMR) tumor status have been demonstrated to predict patient response to immunotherapies. We developed and validated a next-generation sequencing (NGS)-based companion diagnostic (CDx) to detect MSI-H solid tumors via a comprehensive genomic profiling (CGP) assay, FoundationOne®CDx (F1CDx). To determine MSI status, F1CDx calculates the fraction of unstable microsatellite loci across >2000 loci using a fraction-based (FB) analysis. Across solid tumor types, F1CDx demonstrated a high analytical concordance with both PCR (n = 264) and IHC (n = 279) with an overall percent agreement (OPA) of 97.7% and 97.8%, respectively. As part of a retrospective bridging clinical study from KEYNOTE-158 Cohort K and KEYNOTE-164, patients with MSI-H tumors as determined by F1CDx demonstrated an objective response rate (ORR) of 43.0% to pembrolizumab. In real-world cancer patients from a deidentified clinicogenomic database, F1CDx was at least equivalent in assessing clinical outcome following immunotherapy compared with MMR IHC. Demonstrated analytical and clinical performance of F1CDx led to the pan-tumor FDA approval in 2022 of F1CDx to identify MSI-H solid tumor patients for treatment with pembrolizumab. F1CDx is an accurate, reliable, and FDA-approved method for the identification of MSI-H tumors for treatment with pembrolizumab.

Identifiers

PMID39277692
PMCPMC11401835

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Registered trials

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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.