ArticleOncology letters2022
miR-31-5p-
Article in Oncology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 13 citations in OpenAlex.
- miR-195 and miR-549a Are Essential Biomarkers for Early-Onset Colorectal Cancer.International journal of molecular sciences · 2026Article
- Machine learning-based survival prediction in colorectal cancer combining clinical and biological features.Oncotarget · 2025Article
- Differential Expression of miRNAs Between Young-Onset and Late-Onset Indian Colorectal Carcinoma Patients.Non-coding RNA · 2025Article
- Advances in microRNAs as Emerging Biomarkers for Colorectal Cancer Early Detection and Diagnosis.International journal of molecular sciences · 2024Review
- Anisakis extracellular vesicles elicit immunomodulatory and potentially tumorigenic outcomes on human intestinal organoids.Parasites & vectors · 2024Article
- Prediction of liver and lung metastases in patients with early-onset colorectal cancer by nomograms based on heterogeneous and homogenous risk factors.Cancer medicine · 2023Article
- MicroRNA Biomarkers as Promising Tools for Early Colorectal Cancer Screening-A Comprehensive Review.International journal of molecular sciences · 2023Review
- Molecular genetics of early-onset colorectal cancer.World journal of biological chemistry · 2023Review
- Review
- Differential Analysis of Early-Onset and Late-Onset Colorectal Cancer Based on Multidimensional Evidence Integration: A Review.Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incidence of colorectal cancer (CRC) is increasing in young adults, but knowledge regarding the molecular features of sporadic early-onset colorectal cancer (SEOCRC) is limited. The objective of the present study was to investigate potential key tumorigenesis-associated genes and their regulatory microRNAs (miRNAs) in SEOCRC. Using miRNA and mRNA expression screening of SEOCRC and sporadic late-onset colorectal cancer (SLOCRC) by next generation sequencing (NGS) and bioinformatics, the SEOCRC-associated miRNAome and transcriptome were analyzed. In SEOCRC miRNA and mRNA expression profiles, the tumorigenesis-associated genes and their regulatory miRNAs were analyzed according to the miRTarBase database, and specific miRNA-mRNA pairs were selected as the candidate biomarkers in SEOCRC, which were further verified in another cohort of SEOCRC and SLOCRC patients' colon cancer and paracancerous tissues using reverse transcription-quantitative PCR and immunohistochemistry. Moreover, the clinical relevance of these paired signatures to clinicopathological features was determined in 80 patients with SEOCRC. The expression of dystrophin (
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Identifiers
What Socratic 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 Socratic graph.