ArticleJournal of biological methods2024
Improving CT scan for lung cancer diagnosis with an integromic signature.
Article in Journal of biological methods, 2024. 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.
- Sputum Liquid Biopsy for Lung Cancer Screening, Diagnosis, Subtyping, Surveillance, Response Prediction, and Prognostication: A Scoping Review.Medical sciences (Basel, Switzerland) · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer is the leading cause of cancer-related mortality globally, making early detection crucial for reducing death rates. Low-dose computed tomography (LDCT) screening helps detect lung cancer early but often identifies indeterminate pulmonary nodules (PNs), leading to potential overtreatment. This study aimed to develop a diagnostic test that accurately differentiates malignant from benign PNs detected on LDCT scans by analyzing non-coding RNAs, DNA methylation, and bacterial DNA in patient samples. Using droplet digital polymerase chain reaction, we analyzed samples from a training set of 150 patients with malignant PNs and 250 smokers with benign PNs. Individual biomarkers in plasma and sputum showed moderate effectiveness, with sensitivities ranging from 62% to 77% and specificities from 54% to 87%. We developed an integromic signature by combining two plasma biomarkers and one sputum biomarker, along with additional clinical data, which demonstrated a sensitivity of 90% and specificity of 95%. The signature's diagnostic performance was further validated in a cohort consisting of 30 patients with malignant PNs and 50 smokers with benign PNs. The integromic signature showed high sensitivity and specificity in distinguishing malignant from benign PNs identified through LDCT. This tool has the potential to significantly lower both mortality and health-care costs associated with the overtreatment of benign nodules, offering a promising approach to improving lung cancer screening protocols.
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.