Evidence map›Paper›PMID 42821654›Full record

ArticleThe oncologist2026

Precision oncology at speed: workflow design determines clinical utility in rapid molecular testing for lung cancer.

Brandon S Sheffield, Katherina Baranova, Parneet Cheema, Miriam A Bredella, Champica Nicholas, Ibiayi Dagogo-Jack, Jochen K Lennerz

Abstract read
In one paragraph

Article in The oncologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Brandon S SheffieldDivision of Advanced Diagnostics, William Osler Health System, Brampton, Ontario, L6R 3J7, Canada.
Katherina BaranovaSchulich School of Medicine and Dentistry, London, Ontario, N6G 2V4, Canada.ORCID 0000-0003-4740-9789
Parneet CheemaUniversity of Toronto, Toronto, Ontario, M5S 1A1, Canada.ORCID 0000-0002-2666-3481
Miriam A BredellaNYU Langone Health, Grossman School of Medicine, New York, NY 10016, United States.
Champica NicholasDivision of Advanced Diagnostics, William Osler Health System, Brampton, Ontario, L6R 3J7, Canada.
Ibiayi Dagogo-JackMassachusetts General Hospital, Cancer Center, Boston, MA 02114, United States.ORCID 0000-0003-0781-9257
Jochen K LennerzNatera, Austin, Texas, 78753, United States.ORCID 0000-0003-2434-4978

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMatching patients with effective targeted therapies requires timely molecular results; however, the challenge today how to embed it into routine clinical workflows in ways that meaningfully affect patient-level treatment decisions.

methodsBuilding on prior work, the authors systematically reviewed laboratory operations, interdepartmental coordination, and administrative processes from two distinct healthcare settings: a US-based academic tertiary care center and a Canadian community hospital. We identified shared themes, context-specific challenges, and operational elements that distinguished successful integration from assay availability alone.

resultsAcross both environments, the comparison revealed that rapid testing consistently accelerated treatment decisions and facilitated biomarker-informed patient management, but its successful implementation depended on re-engineering laboratory workflows, aligning personnel competencies, and establishing turnaround time monitoring; technical availability alone did not ensure clinically meaningful rapid testing. While the academic context integrated rapid testing within comprehensive molecular pipelines and research frameworks, the community hospital context focused on pragmatic adoption for frontline care, especially in urgent clinical settings and based on the organization of the Canadian health system.

conclusionImplementing rapid molecular testing in NSCLC is fundamentally an implementation and systems-engineering challenge rather than a technical challenge. Clinical speed depended more on system design than assay availability alone and is influenced, in part, by the larger national healthcare context. Addressing laboratory, operational, and administrative barriers is essential to ensure that rapid testing improves outcomes. Lessons learned from both academic and community practice provide a practical, implementation-focused roadmap for broader adoption and equity in access to precision oncology.

Indexed as

Lung NeoplasmsMedical OncologyPrecision MedicineBiomarkers, TumorCanadaHumansWorkflowBiomarkers, Tumorbiomarkerlung cancermolecular testingrapid testing

Identifiers

PMID42821654
PMCPMC13675086

What OpenQuestion holds

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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.