Evidence map›Paper›PMID 35731999›Full record

ArticleJCO precision oncology2022

Programmatic Efforts Increase Adoption of Genomic Precision Medicine in Cancer Care in a Community Cancer Center.

Sourat Darabi, David Braxton, Jeanne Homer, Taylor Brodie, Dori Holnagel, Burton Eisenberg, Michael J Demeure

Abstract read
In one paragraph

Article in JCO precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Sourat DarabiHoag Family Cancer Institute, Newport Beach, CA.ORCID 0000-0002-3395-894X
David BraxtonHoag Family Cancer Institute, Newport Beach, CA.ORCID 0000-0003-2559-2578
Jeanne HomerHoag Family Cancer Institute, Newport Beach, CA.
Taylor BrodieHoag Family Cancer Institute, Newport Beach, CA.
Dori HolnagelHoag Family Cancer Institute, Newport Beach, CA.
Burton EisenbergHoag Family Cancer Institute, Newport Beach, CA.
Michael J DemeureHoag Family Cancer Institute, Newport Beach, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe adoption of precision medicine (PMed) depends on the critical curation of data and interpretation of genomic results. Herein, we sought to study the effect of a coordinated multidisciplinary program to assess results in a community cancer center clinic.

methodsIn a retrospective review from July 2018 to July 2021, we analyzed the implementation of a multidisciplinary PMed program in a tertiary referral community cancer center. Germline genetics test results have been reviewed since 2017.

resultsA total of 3,131 tumor samples were analyzed by large panel somatic genomic testing through commercial laboratories during the study period. The number of reviewed cases rose from 661 in the first year to 1,532 in year 3. Additional recommendations beyond what was reported by the commercial laboratory were made in 42.9% of cases. Referrals to the hereditary cancer program for germline testing increased by 32% from the 2017 baseline. Process improvement efforts reduced the rate of DNA quantity nonsufficient for testing to 3.3% compared with a national average of 4.89%. The average time from receipt of orders to issuing of a report of the somatic panel was 15.5 days, compared with 19.1 days for other institutions using the same laboratory. The PMed team has been critical in support of clinical research by assisting in trial procurement and feasibility assessment to the identification of patients for clinical trials.

conclusionThe use of somatic genomic testing is increasing at our cancer center. Education and in-depth analysis of the data are valued by cancer physicians. The development and implementation of a PMed program has demonstrated improved physicians' understanding of molecular testing, resulting in improved outcomes for patients.

Indexed as

NeoplasmsPrecision MedicineCluster AnalysisGenomicsHumansRetrospective Studies

Identifiers

PMID35731999
PMCPMC9249271

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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.