ACS Sens. 2025 Apr 25;10(4):3101-3111. doi: 10.1021/acssensors.5c00314. Epub 2025 Apr 7.

ABSTRACT

Early screening of individuals with high-risk lung nodules can significantly improve the prognosis of lung cancer patients, and accurate identification of lung nodule subtypes can provide guidance for medical treatment. Exhaled breath (EB) analysis via eNoses offers a quick and noninvasive approach, but current eNose technology lacks quality control and solid validation in large population studies. Herein, an eNose platform integrated with a metal ion-decorated graphene sensor array and a breath sampling accessory was established. EB samples from 427 healthy subjects and 2586 subjects with lung nodules, including various benign and malignant subtypes, were collected through the breath sampling accessory for quality control. The large-cohort clinical EB samples were analyzed by the eNose platform to acquire the cross-reactive resistance response. Breathprint analysis for high-risk lung nodules using SVM and age-matched training sets yielded strong and robust performance. Combined with baseline data, the model achieved an AUC of 0.93 (95% CI, 0.89-0.96) on the external test set, with 97% sensitivity and 73% specificity. Moreover, dimensionality reduction analysis of breathprints demonstrated separability across different lung nodule subtypes. This study demonstrates the reliability of the graphene eNose platform to identify high-risk lung nodules and classify lung nodule subtypes in a noninvasive and rapid method.

PMID:40193324 | DOI:10.1021/acssensors.5c00314

Tuberc Respir Dis (Seoul). 2025 Apr 8. doi: 10.4046/trd.2024.0146. Online ahead of print.

ABSTRACT

Molecular profiling of tumours from patients plays a crucial role in precision oncology. While tumour tissue-based genomic testing remains the gold standard in clinical management of patients with non-small cell lung cancer, advances in genomic technologies, the analysis of various bodily fluids, mainly blood but also saliva, pleural/ pericardial effusions, urine, and cerebrospinal fluid is now feasible and readily available. In this review, we will focus on the clinical application of circulating tumour DNA in patients with non-small cell lung cancer in the setting of early-stage disease, locally advanced disease with attention to the potential of ctDNA in prognostication, risk stratification, minimal residual disease, and in advanced disease, its role in the detection of genomic markers and mechanisms of acquired resistance. The role of ctDNA and liquid biopsies in lung cancer screening will also be discussed.

PMID:40195729 | DOI:10.4046/trd.2024.0146