ArticleInternational journal of clinical and experimental pathology2020
Early diagnostic and prognostic value of serum exosomal miR-1246 in non-small cell lung cancer.
Article in International journal of clinical and experimental pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
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
30 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The diagnostic and prognostic value of exosomal microRNAs in lung cancer: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Pooled it
- Diagnostic value of exosomal noncoding RNA in lung cancer: a meta-analysis.Frontiers in oncology · 2024Pooled it
- The Diagnostic Power of Circulating miR-1246 in Screening Cancer: An Updated Meta-analysis.Oxidative medicine and cellular longevity · 2023Pooled it
- Clinical significance of miRNAs and exosomal miRNAs in non-small cell lung cancer: diagnostic, prognostic, and therapeutic perspectives.Journal of human genetics · 2026Review
- Exosome-mimetic nanocarriers in cancer diagnosis and drug delivery: engineering strategies, functional biomimicry, safety considerations, and clinical translation.Journal of nanobiotechnology · 2026Review
- MicroRNA-regulated signaling and tumor microenvironment modulation in lung cancer: mechanistic insights and translational opportunities.Cancer cell international · 2026Review
- Blood-Based miRNA Panels for Timely Detection of Non-Small-Cell Lung Cancer: From Biomarker Discovery to Clinical Translation.International journal of molecular sciences · 2025Review
- Tumor-derived exosomes and their application in cancer treatment.Journal of translational medicine · 2025Review
- The impact of liquid biopsy in breast cancer: Redefining the landscape of non-invasive precision oncology.The journal of liquid biopsy · 2025Review
- Article
- Potential utility of miRNAs derived from pleural fluid extracellular vesicles to differentiate between benign and malignant pleural effusions.Translational lung cancer research · 2025Article
- Exosomal microRNAs: impact on cancer detection, treatment, and monitoring.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Review
- Diagnostic and Prognostic Significance of Exosomes and Their Components in Patients With Cancers.Cancer medicine · 2025Review
- Cancer-derived exosomes: mediators of immune crosstalk and emerging targets for immunotherapy.Frontiers in immunology · 2025Review
- Article
- Article
- MiRNAs and Microbiota in Non-Small Cell Lung Cancer (NSCLC): Implications in Pathogenesis and Potential Role in Predicting Response to ICI Treatment.International journal of molecular sciences · 2024Review
- Exploring the Tumor-Associated Risk of Mesenchymal Stem Cell Therapy in Veterinary Medicine.Animals : an open access journal from MDPI · 2024Article
- The role of mesenchymal stem cells derived exosomes as a novel nanobiotechnology target in the diagnosis and treatment of cancer.Frontiers in bioengineering and biotechnology · 2023Review
- Extracellular circulating miRNAs as potential non-invasive biomarkers in non-small cell lung cancer patients.Frontiers in oncology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer is one of the most common malignant tumors. A growing body of evidence has demonstrated that circulating microRNAs (miRNAs) have great potential for the diagnosis and prognosis of lung cancer. In this study, we aimed to determine the clinical significance of serum exosomal miR-1246 in non-small cell lung cancer (NSCLC). Real-time PCR was performed to measure the expression level of serum exosomal miR-1246 in NSCLC patients. The correlations between the serum exosomal miR-1246 level and prognosis of NSCLC were then investigated. The expression of serum exosomal miR-1246 was significantly increased in NSCLC patients. Receiver operating characteristic (ROC) analysis showed that serum exosomal miR-1246 showed good performance for discriminating NSCLC patients from healthy controls and patients with non-malignant respiratory diseases. The level of serum exosomal miR-1246 was decreased following treatments, but increased in the cases with recurrence. In addition, serum exosomal miR-1246 level was strongly associated with lymph node metastasis and TNM stage. Survival analysis showed that the patients in the high serum exosomal miR-1246 group had poorer overall survival and disease-free survival. Multivariate analysis showed that serum exosomal miR-1246 level was an independent prognostic factor for NSCLC. In conclusion, serum exosomal miR-1246 might be a useful diagnostic and prognostic biomarker for NSCLC.
Indexed as
Identifiers
32782678PMC7414461What 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.