SynthesisJournal of clinical laboratory analysis2022
Circular RNAs as prognostic and diagnostic biomarkers in renal cell carcinoma.
Synthesis in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Circular RNAs as prognostic and diagnostic biomarkers in renal cell carcinoma.Journal of clinical laboratory analysis · 2022Pooled it
- The circular RNA landscape: Biogenesis, functions, identification pipelines, and biomedical applications.Non-coding RNA research · 2026Review
- Review
- Serum Chemokines CCL3 and CCL7 as Complementary Diagnostic Biomarkers Across Tumor Grades in Clear Cell Renal Cell Carcinoma.International journal of molecular sciences · 2026Article
- Circular RNA-based liquid biopsy: a promising approach for monitoring drug resistance in cancer.Cancer drug resistance (Alhambra, Calif.) · 2025Review
- Established and emerging biomarkers of immunotherapy in renal cell carcinoma.Immunotherapy · 2024Review
- Circular RNAs in renal cell carcinoma: from mechanistic to clinical perspective.Cancer cell international · 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
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCircular RNAs (circRNAs) play pivotal roles in proliferation, apoptosis, migration, and invasion of renal cell carcinoma (RCC) cells. This study is aimed to systematically summarize the current evidence regarding the clinical implications of circRNAs in RCC patients.
methodsA systematic search in PubMed, Embase, and Web of Science was performed until January 1, 2022. The correlation between the expression of circRNAs and clinicopathological, prognostic, and diagnostic features of RCC was evaluated using the meta-analysis.
resultsUltimately, 41 studies with 3485 RCC patients were included in this study: 26 studies for clinicopathological features, 31 studies for prognosis, and eight studies for diagnosis. Altered expression of circRNAs was significantly associated with clinicopathological characteristics of RCC, including tumor size, tumor stage, lymph node metastasis, distant metastasis, and TNM stage. The tumor promoter circRNAs were associated with reduced overall survival (OS) (Hazard Ratio (HR) = 1.98, 95% confidence interval [CI] 1.68-2.34) and disease/progression/recurrence-free survival (DFS/PFS/RFS) (HR = 2.34, 95% CI 1.85-2.97). Contrarily, the tumor suppressor circRNAs were linked with better OS (HR = 0.49, 95% CI 0.40-0.60) and DFS/PFS/RFS (HR = 0.40, 95% CI 0.28-0.59). The pooled sensitivity and specificity of circRNAs for RCC diagnosis in tissue samples were both 0.84. These results in fluid samples (serum and urine) were 0.78 and 0.69, respectively.
conclusionCircRNAs can serve as promising diagnostic and prognostic biomarkers for RCC.
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.