ArticleTranslational lung cancer research2022
Plasma extracellular vesicle long RNA profiling identifies a diagnostic signature for stage I lung adenocarcinoma.
Article in Translational lung cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 19 citations in OpenAlex.
- Development of a diagnostic model using the circulating long noncoding RNAs LINC00857 and KLHDC7B-DT in lung adenocarcinoma.Journal of thoracic disease · 2026Article
- [Glycolytic Reprogramming in Lung Adenocarcinoma: Molecular Mechanisms, Metabolic Biomarkers and Targeted Therapeutic Strategies].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Review
- Role of solute carrier family 7 member 7 in cancer: opportunities for tumor microenvironment research.Journal for immunotherapy of cancer · 2026Review
- Stoichiometric constraints for detection of EV-borne biomarkers in blood.Journal of extracellular vesicles · 2025Review
- Plasma Small Extracellular Vesicle microRNAs as Non-Invasive Biomarkers for Lung Cancer Detection.International journal of nanomedicine · 2025Article
- Blood-Derived Extracellular Vesicles as a Promising Liquid Biopsy Diagnostic Tool for Early Cancer Detection.Biomolecules · 2024Review
- DSCC1 interacts with HSP90AB1 and promotes the progression of lung adenocarcinoma via regulating ER stress.Cancer cell international · 2023Article
- Extracellular RNA profiles in non-small cell lung cancer plasma.Journal of thoracic disease · 2023Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The early diagnosis of lung adenocarcinoma (LUAD) is particularly challenging. Recent studies have reported that extracellular vesicles (EVs) include both small and long RNA. However, the profile and diagnosis-related significance of EV long RNA (exLR) profiles for early LUAD remain unclear. Methods: A case-control analysis was carried out involving 110 participants, including 64 stage I LUAD cases, 24 benign pulmonary nodule (BPN) cases, and 22 healthy controls (HCs). The analysis was performed on the plasma samples' exLR profile based on exLR sequencing. The d-signature was identified using the least absolute shrinkage and selection operator (LASSO) method and a training set (n=48), and validation was completed through use of an internal validation set (n=32) and an external validation set (n=30). Results: A diagnostic signature (d-signature) encompassing 8 exLR markers (NFKBIA, NDUFB10, SLC7A7, ARPC5, SEPTIN9, HMGN1, H4C2, and lnc-PLA2G1B-2:3) was identified for the detection of LUAD. This d-signature exhibited a high level of accuracy, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.991 in the training group, 0.921 in the internal validation group, and 0.9 in the external validation group. Moreover, the d-signature could distinguish adenocarcinomas Conclusions: This study initially characterized the plasma exLR profile of early LUAD and reported on an exLR-based diagnostic signature for the detection of LUAD. This d-signature could be a promising noninvasive biomarker for the early detection and routine screening of LUAD.
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.