ReviewTranslational lung cancer research2025
Decoding the enigma of multiple primary lung cancers: from mechanism to bedside-a narrative review.
Review in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Utilizing clinical features, genetic mutations, and a 14-gene molecular assay for optimizing the management of multiple primary lung cancer.Translational lung cancer research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: Lung cancer is the leading cause of global cancer mortality. Multiple primary lung cancer (MPLC) represents a clinically challenging subtype characterized by independent tumor foci. Distinguishing MPLC from intrapulmonary metastases is crucial for prognosis and treatment. This review integrates current evidence on MPLC's etiology, molecular mechanisms, diagnosis, and management, aiming to provide a clinical reference and highlight future precision medicine directions. Methods: We searched PubMed/MEDLINE, Web of Science, and Google Scholar for articles published between January 2000 and September 2024. Search terms included "multiple primary lung cancer", "diagnosis", "molecular characteristics", and "treatment". The selection focused on English-language research and reviews addressing MPLC pathogenesis, diagnosis, or management. Key Content and Findings: The review delineates the multifactorial pathogenesis of MPLC, encompassing genetic susceptibility, somatic heterogeneity, clonal evolution, and epigenetic dysregulation. It frames these mechanisms against a backdrop of "field cancerization" and dynamic tumor microenvironment interactions. The evolution of diagnosis from histology to integrated molecular-artificial intelligence (AI) models is detailed, alongside treatment strategies that must overcome the challenge of inter-lesional heterogeneity. Conclusions: MPLC is a distinct entity arising from genetic, epigenetic, and microenvironmental interplay. Advancing its management requires multi-omics integration to decipher pathology and identify biomarkers. Future work should develop AI-enhanced diagnostics and lesion-specific treatment strategies. This review synthesizes current evidence to inform and direct future research and clinical innovation in MPLC.
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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.