Faculty, Staff and Student Publications
Language
English
Publication Date
2-23-2026
Journal
Nature Reviews Clinical Oncology
DOI
10.1038/s41571-026-01131-4
PMID
41731061
PMCID
PMC7618895
PubMedCentral® Posted Date
3-18-2026
PubMedCentral® Full Text Version
Author MSS
Abstract
Lung cancer remains the leading cause of cancer-related deaths worldwide, partly because many patients are diagnosed at late stages, highlighting the urgent need for effective early detection and intervention strategies. Low-dose computed tomography (LDCT)-based screening reduces lung cancer mortality in high-risk populations defined by age and smoking history; however, the uptake of LDCT remains low among eligible individuals. Compounding this issue, modelling studies estimate that nearly half of lung cancers occur in individuals who do not meet eligibility criteria for LDCT-based lung cancer screening under current guidelines. Moreover, LDCT-based screening has inherent limitations, including a high rate of false-positive results that can lead to unnecessary invasive procedures, as well as substantial costs that limit scalability. Major efforts have been made to identify novel biomarkers such as radiomic features and liquid biopsy assays to enhance the accuracy of lung cancer risk prediction. Furthermore, the increasing detection of pulmonary nodules by LDCT or diagnostic CT scans has highlighted the importance of therapeutic interventions that can enable interception of high-risk precancerous nodules and halt their progression to invasive disease. In this Review, we summarize the current state of lung cancer screening, the disparities and infrastructural considerations for optimal implementation, and future directions in the development of biomarkers and design of precancer interception strategies that could transform both lung cancer prevention and early intervention.
Published Open-Access
yes
Recommended Citation
Zhang, Jianjun; Park, Matthew D; Pandya, Tej; et al., "Innovative Approaches for Lung Cancer Screening and Interception" (2026). Faculty, Staff and Student Publications. 6811.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/6811
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Oncology Commons
Comments
This article has been corrected. See Nat Rev Clin Oncol. 2026 Mar 10.