Evidence map›Paper›PMID 34568718›Full record

ArticleJCO precision oncology2021

Implementation of a Molecular Tumor Registry to Support the Adoption of Precision Oncology Within an Academic Medical Center: The Duke University Experience.

Michelle F Green, Jonathan L Bell, Christopher B Hubbard, Shannon J McCall, Matthew S McKinney, Jinny E Riedel, Carolyn S Menendez, James L Abbruzzese, John H Strickler, Michael B Datto

Open access · greenAbstract read
In one paragraph

Article in JCO precision oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  8. Review
  9. Clinical genetics in breast cancer.Journal of surgical oncology · 2024
    Review
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  11. Impact ofJournal of radiosurgery and SBRT · 2024
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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

10 authors at 1 institution in 1 country.

Michelle F GreenDepartment of Pathology, Duke University Medical Center, Durham, NC.ORCID 0000-0002-6055-4342
Jonathan L BellDepartment of Pathology, Duke University Medical Center, Durham, NC.ORCID 0000-0002-5100-6299
Christopher B HubbardDepartment of Pathology, Duke University Medical Center, Durham, NC.ORCID 0000-0002-0318-3645
Shannon J McCallDepartment of Pathology, Duke University Medical Center, Durham, NC.ORCID 0000-0003-3957-061X
Matthew S McKinneyDivision of Hematologic Malignancies, Department of Medicine, Duke University Medical Center, Durham, NC.
Jinny E RiedelDuke Cancer Institute, Duke University Medical Center, Durham, NC.
Carolyn S MenendezDuke Cancer Institute, Duke University Medical Center, Durham, NC.
James L AbbruzzeseDuke Cancer Institute, Duke University Medical Center, Durham, NC.
John H StricklerDuke Cancer Institute, Duke University Medical Center, Durham, NC.ORCID 0000-0001-7579-1175
Michael B DattoDepartment of Pathology, Duke University Medical Center, Durham, NC.ORCID 0000-0002-9777-383X
Duke Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive genomic profiling to inform targeted therapy selection is a central part of oncology care. However, the volume and complexity of alterations uncovered through genomic profiling make it difficult for oncologists to choose the most appropriate therapy for their patients. Here, we present a solution to this problem, The Molecular Registry of Tumors (MRT) and our Molecular Tumor Board (MTB). PATIENTS AND

methodsMRT is an internally developed system that aggregates and normalizes genomic profiling results from multiple sources. MRT serves as the foundation for our MTB, a team that reviews genomic results for all Duke University Health System cancer patients, provides notifications for targeted therapies, matches patients to biomarker-driven trials, and monitors the molecular landscape of tumors at our institution.

resultsAmong 215 patients reviewed by our MTB over a 6-month period, we identified 176 alterations associated with therapeutic sensitivity, 15 resistance alterations, and 51 alterations with potential germline implications. Of reviewed patients, 17% were subsequently treated with a targeted therapy. For 12 molecular therapies approved during the course of this work, we identified between two and 71 patients who could qualify for treatment based on retrospective MRT data. An analysis of 14 biomarker-driven clinical trials found that MRT successfully identified 42% of patients who ultimately enrolled. Finally, an analysis of 4,130 comprehensive genomic profiles from 3,771 patients revealed that the frequency of clinically significant therapeutic alterations varied from approximately 20% to 70% depending on the tumor type and sequencing test used.

conclusionWith robust informatics tools, such as MRT, and the right MTB structure, a precision cancer medicine program can be developed, which provides great benefit to providers and patients with cancer.

Indexed as

NeoplasmsAcademic Medical CentersHigh-Throughput Nucleotide SequencingHumansPrecision MedicineRegistriesRetrospective StudiesUniversities

Identifiers

PMID34568718
PMCPMC8457820
OpenAlexW3201226665

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.