ReviewCancer cell international2022
Exosomal circular RNA: a signature for lung cancer progression.
Review in Cancer cell international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Diagnostic value of exosomal noncoding RNA in lung cancer: a meta-analysis.Frontiers in oncology · 2024Pooled it
- Exosomes and lung cancer: Biogenesis, pathogenic mechanisms, biomarkers, and therapeutic applications.The Journal of international medical research · 2026Review
- Review
- Review
- Expression characteristics and biological significance of exosome-related genes in lung cancer.Discover oncology · 2025Article
- Advanced approaches of the use of circRNAs as a replacement for cancer therapy.Non-coding RNA research · 2024Review
- Role of circular RNAs and gut microbiome in gastrointestinal cancers and therapeutic targets.Non-coding RNA research · 2024Review
- Non-coding RNAs and exosomal non-coding RNAs in lung cancer: insights into their functions.Frontiers in cell and developmental biology · 2024Review
- Functional analysis of circSNYJ1/miR-142-5p/CCND1 regulatory axis in non-small cell lung cancer.American journal of cancer research · 2024Article
- Exosomal non-coding RNAs: Blueprint in colorectal cancer metastasis and therapeutic targets.Non-coding RNA research · 2023Review
- Exosome derived from tumor-associated macrophages: biogenesis, functions, and therapeutic implications in human cancers.Biomarker research · 2023Review
- Immunomodulatory role of EV-derived non-coding RNA in lung cancer.Extracellular vesicles and circulating nucleic acids · 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
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Membrane vesicles having a diameter of 30-150 nm are known as exosomes. Several cancer types secrete exosomes, which may contain proteins, circular RNAs (circRNAs), microRNAs, or DNA. CircRNAs are endogenous RNAs that do not code for proteins and can create continuous and covalently closed loops. In cancer pathogenesis, especially metastasis, exosomal circRNAs (exo-circRNAs) have a crucial role mainly due to the frequently aberrant expression levels within tumors. However, neither the activities nor the regulatory mechanisms of exo-circRNAs in advancing lung cancer (LC) are obvious. A better understanding of the regulation and network connections of exo-circRNAs will lead to better treatment for LCs. The main objective of the current review is to highlight the functions and mechanisms of exo-circRNAs in LC and assess the relationships between exo-circRNA dysregulation and LC progression. In addition, underline the possible therapeutic targets based on exo-circRNA modulating.
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.