Evidence map›Paper›PMID 39531849›Full record

ArticleJCO oncology practice2024

Widespread Adoption of Precision Anticancer Therapies After Implementation of Pathologist-Directed Comprehensive Genomic Profiling Across a Large US Health System.

Alexa K Dowdell, Ryan C Meng, Ann Vita, Bela Bapat, Douglas Hanes, Shu-Ching Chang, Lauren Harold, Cliff Wong, Hoifung Poon, Brock Schroeder and 5 more

Abstract read
In one paragraph

Article in JCO oncology practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Genomics and Discrimination in New Zealand Health and Life Insurance.Journal of the Royal Society of New Zealand · 2026
    Article
  9. Article
  10. 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

15 authors.

Alexa K DowdellProvidence Health, Portland, OR.ORCID 0000-0003-4866-6293
Ryan C MengProvidence Health, Portland, OR.ORCID 0000-0003-4168-8916
Ann VitaProvidence Health, Portland, OR.
Bela BapatIllumina, Inc, San Diego, CA.
Douglas HanesProvidence Health, Portland, OR.ORCID 0000-0001-7131-3096
Shu-Ching ChangProvidence Health, Portland, OR.ORCID 0000-0002-6534-0124
Lauren HaroldProvidence Health, Portland, OR.
Cliff WongMicrosoft Research, Redmond, WA.ORCID 0000-0001-7867-090X
Hoifung PoonMicrosoft Research, Redmond, WA.ORCID 0000-0002-9067-0918
Brock SchroederIllumina, Inc, San Diego, CA.
Roshanthi WeerasingheProvidence Health, Portland, OR.
Rom LeidnerProvidence Health, Portland, OR.ORCID 0000-0003-0788-7938
Walter J UrbaProvidence Health, Portland, OR.ORCID 0000-0001-8414-3348
Carlo B BifulcoProvidence Health, Portland, OR.
Brian D PieningProvidence Health, Portland, OR.ORCID 0000-0002-2683-8157

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrecision therapies and immunotherapies have revolutionized cancer care, with novel genomic biomarker-associated therapies being introduced into clinical practice rapidly, resulting in notable gains in patient survival. Despite this, there is significant variability in the utilization of tumor molecular profiling that spans the timing of test ordering, comprehensiveness of gene panels, and clinical decision support through therapy and trial recommendations.

methodsTo standardize testing, we designed a pathologist-directed test ordering system at the time of diagnosis using a 523-gene DNA/RNA hybrid comprehensive genomic profiling (CGP) panel and extensive clinical decision support tools. To comprehensively characterize the clinical impact of this protocol, we developed a novel natural language processing (NLP)-based approach to extract clinical features from physician chart notes. We assessed test actionability rates, therapy choice, and outcomes across a set of 3,216 patients with advanced cancer.

resultsWe observed 49% of patients had at least one actionable genomic biomarker-driven-approved and/or guideline-recommended targeted or immunotherapy (IO) and 53% of patients would have been eligible for a precision therapy clinical trial from three large basket trials. When assessing CGP versus an in silico 50-gene panel, 67% of tumors compared with 33% harbored actionable alterations including clinical trials. Among patients with 6 months or more of follow-up, over 52% received a targeted therapy (TT) or IO, versus 32% who received conventional chemotherapy alone. Furthermore, patients receiving TT had significantly improved overall survival compared with patients receiving chemotherapy alone (

conclusionOverall, these data represent a major shift in standard clinical practice toward molecularly guided treatments (targeted and immunotherapies) over conventional systemic chemotherapy. As guidelines continue to evolve and more precision therapeutics gain approval, we expect this gap to continue to widen.

Indexed as

NeoplasmsPrecision MedicineAdultAgedBiomarkers, TumorFemaleGenomicsHumansImmunotherapyMaleMiddle AgedUnited StatesBiomarkers, Tumor

Identifiers

PMID39531849
PMCPMC11623383

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.