ArticleFrontiers in immunology2025
Efficacy and prognostic analysis of chemo-immunotherapy after TKI resistance in EGFR-mutant non-small cell lung cancer with TP53 or KRAS co-mutations.
Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Real-World Evaluation of Next-Generation Sequencing in Lung Cancer: Associations Between Histological Subtypes and Genomic Alterations.Current issues in molecular biology · 2026Article
- Lung cancer immunotherapy in 2025: where we stand and what comes next?Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the impact of co-mutations of EGFR with TP53 or KRAS on the prognosis of non-small cell lung cancer (NSCLC) patients, and the efficacy of platinum-based doublet chemotherapy plus immunotherapy after EGFR-TKI resistance. Methods: This was a retrospective study that included 168 patients with locally advanced or advanced NSCLC who had next-generation sequencing (NGS) performed at our institution between January 1, 2021, and October 31, 2023. Based on their genomic profiles, patients were categorized into three groups: EGFR single mutation, EGFR/TP53 co-mutation, and EGFR/KRAS co-mutation. Baseline clinical data were collected, including gender, age, smoking history, histological subtype, clinical stage, ECOG performance status, gene testing results, and treatment regimens. All patients were treated with EGFR tyrosine kinase inhibitors (TKIs) as first-line therapy, including first-, second-, or third-generation agents. Upon disease progression, patients received platinum-based doublet chemotherapy plus immunotherapy as second-line treatment. The primary endpoint was progression-free survival (PFS). Survival curves were generated using the Kaplan-Meier method and compared by log-rank test. Baseline characteristics among the three groups were compared using the chi-square test. Multivariate Cox regression analysis was performed to evaluate independent prognostic factors for PFS by incorporating all baseline clinical variables and gene mutation status into the model. Results: A total of 168 patients were included in the analysis: 36 with EGFR single mutation, 80 with EGFR/TP53 co-mutation, and 52 with EGFR/KRAS co-mutation. There were no statistically significant differences among the three groups with respect to baseline characteristics, including gender, age, smoking history, histological type, clinical stage, and ECOG performance status ( Conclusion: In the first-line setting, patients with an EGFR single mutation treated with EGFR-TKIs had a longer median PFS than those with EGFR/TP53 and EGFR/KRAS co-mutations (14.1 vs 10.4 and 10.9 months, respectively; both
Indexed as
Identifiers
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.