ArticleTranslational lung cancer research2026
Article in Translational lung cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- Revisiting tumor immunogenicity through the lens of mutant p53: Implications for cancer immunotherapy.Apoptosis : an international journal on programmed cell death · 2026Review
- Real-World Evaluation of Next-Generation Sequencing in Lung Cancer: Associations Between Histological Subtypes and Genomic Alterations.Current issues in molecular biology · 2026Article
- MUC16 promotes endometrial cancer progression and modulates sensitivity to lapatinib through the ESR1/PI3K/AKT axis.Translational oncology · 2026Article
- Screening air pollutants-related genes to construct a prognostic risk model for lung adenocarcinoma and analyzing its immune microenvironment.Journal of thoracic disease · 2026Article
- Dacomitinib in Combination with chemotherapy is effective in lung adenocarcinoma with rareFrontiers in oncology · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Precision oncology in non-small cell lung cancer (NSCLC) requires comprehensive genomic characterization to inform therapeutic decisions. However, the spectrum of genomic alterations and their co-mutation patterns, particularly in relation to immunotherapy biomarkers, remains incompletely understood. This study investigated the associations between driver gene alterations and clinicopathological characteristics, and characterized co-mutation patterns in relation to programmed cell death ligand 1 (PD-L1) expression and tumor mutational burden (TMB) levels. Methods: We conducted a retrospective analysis of 431 NSCLC patients, utilizing a comprehensive pan-solid tumor next-generation sequencing (NGS) panel covering 654 genes to characterize genomic alterations. Clinicopathological characteristics were systematically collected and analyzed to identify significant differences across various mutational profiles. Systematic assessments were performed to evaluate interactions between co-mutations and PD-L1 expression as well as TMB. Results: Genomic profiling revealed Conclusions: This study underscores the diverse genetic mutations occurring in NSCLC patients with varying risk factors. The identification of
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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.