ReviewOncology reviews2024
Biomarker testing in lung cancer: from bench to bedside.
Review in Oncology reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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
8 citing papers in PubMed.
- 5' Rapid Amplification of cDNA Ends (5' RACE)-Based Targeted RNA Sequencing Assay for the Analysis of Clinically Relevant Alterations in Lung Cancer Patients.International journal of molecular sciences · 2026Article
- TCM-Derived Small Molecules Targeting Metabolic Vulnerabilities in NSCLC: Ferroptosis-Centered Mechanisms and Emerging Cuproptosis- and Disulfidptosis-Related Vulnerabilities.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Who Gets Left Out of Precision Oncology? Real-World Driver Mutation Expression Patterns and Therapeutic Eligibility in a Diverse Single-Center Early-Stage Lung Adenocarcinoma Cohort.Journal of racial and ethnic health disparities · 2026Article
- STAS More than a Prognostic Marker-An Evolving Factor in Operative and Adjuvant Treatment Decisions in Early-Stage NSCLC.Cancers · 2026Review
- Identification of key genes as diagnostic biomarkers for lung adenocarcinoma using bioinformatics and machine learning.Discover oncology · 2026Article
- The progress of biomarkers detection to lung cancer.Discover oncology · 2026Review
- Observational
- RT-PCR Misdiagnosis of Patient with Rare EGFR Mutation Lung Adenocarcinoma: Is NGS the Only Solution?Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-small-cell lung cancer (NSCLC) is the poster child of personalized medicine. With increased knowledge about biomarkers and the consequent improvement in survival rates, NSCLC has changed from being a therapeutic nihilistic disease to that characterized by therapeutic enthusiasm. The routine biomarkers tested in NSCLC are EGFR, ALK, and ROS1. However, several additional biomarkers have been added to the diagnostic landscape. Current guidelines recommend testing at least seven biomarkers upfront at the time of NSCLC diagnosis-emphasizing the wide range of targets and corresponding therapies that can be leveraged for disease management. Sequential single-gene testing is not only time-consuming but also leads to tissue exhaustion. Multigene panel testing using next-generation sequencing (NGS) offers an attractive diagnostic substitute that aligns with the evolving dynamics of precision medicine. NGS enables the identification of point mutations, insertions, deletions, copy number alterations, fusion genes, and microsatellite instability information needed to guide the potential use of targeted therapy. This article reviews the existing guidelines, proposed recommendations for NGS in non-squamous NSCLC, real-world data on its use, and the advantages of adopting broader panel-based NGS testing over single-gene testing.
Indexed as
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What OpenQuestion holds
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.