ArticleInternational journal of molecular sciences2023
Identification of MicroRNAs Associated with Histological Grade in Early-Stage Invasive Breast Cancer.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Pulmonary responses to polyacrylic acid with and without carboxyl groups following intratracheal instillation in rats.Archives of toxicology · 2026Article
- miR-4326 predicts adverse outcomes of triple-negative breast cancer and regulates cell growth and motility through modulating MED13.World journal of surgical oncology · 2026Article
- miRNA and Its Implications in the Treatment Resistance in Breast Cancer-Narrative Review of What Do We Know So Far.Non-coding RNA · 2025Review
- Prognostic factors analysis and nomogram construction of breast cancer patients lung metastases and bone metastases.Surgery open science · 2025Article
- The combination of focal breast edema and adjacent vessel sign to assess the behavior of mass-type invasive ductal carcinoma.BMC medical imaging · 2024Article
- The role of circRNAs and miRNAs in drug resistance and targeted therapy responses in breast cancer.Cancer drug resistance (Alhambra, Calif.) · 2024Review
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 3 countries.
Funding
Abstract
This study aimed to identify microRNAs associated with histological grade using comprehensive microRNA analysis data obtained by next-generation sequencing from early-stage invasive breast cancer. RNA-seq data from normal breast and breast cancer samples were compared to identify candidate microRNAs with differential expression using bioinformatics. A total of 108 microRNAs were significantly differentially expressed in normal breast and breast cancer tissues. Using clinicopathological information and microRNA sequencing data of 430 patients with breast cancer from The Cancer Genome Atlas (TCGA), the differences in candidate microRNAs between low- and high-grade tumors were identified. Comparing the expression of the 108 microRNAs between low- and high-grade cases, 25 and 18 microRNAs were significantly upregulated and downregulated, respectively, in high-grade cases. Clustering analysis of the TCGA cohort using these 43 microRNAs identified two groups strongly predictive of histological grade. miR-3677 is a microRNA upregulated in high-grade breast cancer. The outcome analysis revealed that patients with high miR-3677 expression had significantly worse prognosis than those with low miR-3677 expression. This study shows that microRNAs are associated with histological grade in early-stage invasive breast cancer. These findings contribute to the elucidation of a new mechanism of breast cancer growth regulated by specific microRNAs.
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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.