ArticleThe oncologist2024
Clinical Value of Timely Targeted Therapy for Patients With Advanced Non-Small Cell Lung Cancer With Actionable Driver Oncogenes.
Article in The oncologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 5 citations in OpenAlex.
- [Personalized drug therapy of metastatic lung cancer].Innere Medizin (Heidelberg, Germany) · 2026Review
- Clinical harm from failure to deploy personalized medicine for patients with metastatic non-small cell lung cancer.Journal of managed care & specialty pharmacy · 2026Article
- Biomarker Testing Rates and Patterns in Patients With Metastatic Non-Small Cell Lung Cancer: A Prospective, Observational Study in Community Practices.JCO precision oncology · 2026Observational
- Delay of Systemic Therapy Confers a Survival Benefit in Patients with Stage IV Non-Small-Cell Lung Cancer.Cancers · 2025Article
- Optimal timing of cancer treatments: a call for emerging evidence from clinical trials and real-world studies.British journal of cancer · 2025Review
- A rising tide lifts all boats in the personalized cancer care continuum for mNSCLC: bridging inequities in NGS fosters equity in targeted treatment.The oncologist · 2025Article
- Clinical Implementation of a High-Throughput Automated Comprehensive Genomic Profiling Test: TruSight Oncology 500 HT.The Journal of molecular diagnostics : JMD · 2025Article
Corrections and comments
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Authors and funding
18 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundA recent real-world study observed that 24% of patients with advanced non-small cell lung cancer (aNSCLC) with actionable driver oncogenes (ADOs) initiated nontargeted therapies before biomarker test results became available. This study assessed the clinical impact of the timing of first-line (1L) targeted therapies (TTs) in aNSCLC. MATERIALS AND
methodsThis retrospective analysis of a nationwide electronic health record-derived deidentified database included patients aged ≥18 years diagnosed with aNSCLC with ADOs (ALK, BRAF, EGFR, RET, MET, ROS-1, and NTRK) from January 1, 2015, to October 18, 2022, by biomarker testing within 90 days after advanced diagnosis and received 1L treatment. Cohorts were defined by treatment patterns ≤42 days after test results: "Upfront TT" received 1L TT ≤42 days; "Switchers" initiated 1L non-TT before or after testing but switched to TT ≤42 days; and "Non-switchers" initiated non-TT before or after testing and did not switch at any time. Adjusted multivariate Cox regression evaluated real-world progression-free survival, real-world time to next treatment or death, and real-world overall survival.
resultsA total of 3540 patients met the study criteria; 78% were treated in a community setting, and 50% underwent next-generation sequencing (NGS). There was no significant difference in outcomes between Switchers and Upfront TT; inferior outcomes were observed in Non-switchers versus Upfront TT.
conclusionOur findings demonstrated improved outcomes with upfront 1L TT versus non-TT in patients with aNSCLC with ADOs and observed timely switching to TT after biomarker test result had similar outcomes to Upfront TT. Opportunities remain to improve the use of NGS for early ADO identification and determination of 1L TT.
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Registered trials
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.