ArticleVirchows Archiv : an international journal of pathology2015
Expression of miRNAs in adenoid cystic carcinomas of the breast and salivary glands.
Article in Virchows Archiv : an international journal of pathology, 2015. 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
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
6 citing papers in PubMed, 10 citations in OpenAlex.
- MicroRNA Profiles Distinguishing Metastatic from Non-Metastatic Salivary Mucoepidermoid Carcinoma.Journal of clinical medicine · 2025Article
- Role of Exosomes in Salivary Gland Tumors and Technological Advances in Their Assessment.Cancers · 2024Review
- Comparison of miRNA Profiles of Primary Tumors and Metastatic Tumors of Salivary Gland Tumors and Their Role in Prognosis: A Systematic Review.Iranian journal of public health · 2024Review
- Article
- MicroRNA in adenoid cystic carcinoma (Review).International journal of oncology · 2023Review
- Comparison of microRNA profiles between benign and malignant salivary gland tumors in tissue, blood and saliva samples: a prospective, case-control study.Brazilian journal of otorhinolaryngologyArticle
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 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite their similar histomorphologic appearance, adenoid cystic carcinomas of the breast and salivary glands (bACCs and sACCs, respectively) are clinically and pathologically diverse. We studied the expression levels of 18 microRNAs (miRNAs) in bACCs and sACCs and control normal breast and salivary gland tissues (bNs and sNs, respectively) by quantitative real-time polymerase chain reaction on formalin-fixed paraffin embedded tissues. miRNAs showing significant differences between the study groups were selected for target prediction. Increased expression of miR-17 and miR-20a was found in bACCs compared with bNs (p(miR-17) = 0.017 and p(miR-20a) = 0.024, respectively), while the expression level of let-7b and miR-193b was lower in sACCs compared with normal sNs (p let-7b = 0.032 and p(miR-193b) = 0.023, respectively). Expression of miR-23b and miR-27b differed between normal breast and normal salivary gland tissue (p(miR-23b) = 0.007 and p(miR-27b) = 0.024, respectively), but not between bACCs and sACCs. The potential target mRNAs CCND1 and BCL2 were identified as reported targets of let-7b, miR-193b, miR-17, and miR-20a. Expression of their corresponding proteins cyclin D1 and Bcl-2 was studied by immunohistochemistry. We found both proteins overexpressed in bACCs as well as sACCs in comparison with corresponding normal tissues. However, expression of cyclin D1 and Bcl-2 proteins was not significantly different between bACCs and sACCs or between bNs and sNs. Although no differences in miRNA levels were found between bACCs and sACCs, in both organs, miRNA expression level was highly different between tumor tissue and control tissue.
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.