ReviewChinese journal of cancer2011
The expression and functions of microRNAs in pancreatic adenocarcinoma and hepatocellular carcinoma.
Review in Chinese journal of cancer, 2011. 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, 20 citations in OpenAlex.
- Expression level of serum miR-374a-5p in patients with acute pancreatitis and its effect on viability, apoptosis, and inflammatory factors of pancreatic acinar cells induced by cerulein.The Kaohsiung journal of medical sciences · 2023Article
- Dual delivery nanoscale device for miR-345 and gemcitabine co-delivery to treat pancreatic cancer.Journal of controlled release : official journal of the Controlled Release Society · 2019Article
- Helicobacter Pylori Promote B7-H1 Expression by Suppressing miR-152 and miR-200b in Gastric Cancer Cells.PloS one · 2017Article
- MiR-502-3P suppresses cell proliferation, migration, and invasion in hepatocellular carcinoma by targeting SET.OncoTargets and therapy · 2016Article
- Interventional Nanotheranostics of Pancreatic Ductal Adenocarcinoma.Theranostics · 2016Review
- Article
- MiR-200b expression in breast cancer: a prognostic marker and act on cell proliferation and apoptosis by targeting Sp1.Journal of cellular and molecular medicine · 2015Article
- Contribution of bioinformatics prediction in microRNA-based cancer therapeutics.Advanced drug delivery reviews · 2015Review
- Targeting microRNAs in pancreatic cancer: microplayers in the big game.Cancer research · 2013Review
- Pancreatic cancer diagnosis by free and exosomal miRNA.World journal of gastrointestinal pathophysiology · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic adenocarcinoma and hepatocellular carcinoma are devastating human malignancies that are characterized by poor prognosis, late onset, and a lack of known biomarkers. New diagnostic and therapeutic molecular targets are desperately needed to develop novel and effective treatment strategies. MicroRNAs (miRNAs) are an emerging class of molecules with roles in various cellular processes, including growth, survival, and apoptosis. Most importantly, aberrant expression of miRNAs has been implicated in cancer pathogenesis. miRNA expression profiles of pancreatic adenocarcinoma and hepatocellular carcinoma indicate selective overexpression of oncogenic miRNAs and down-regulation of tumor suppressive miRNAs in these cancers. This review summarizes results from key studies conducted to characterize the miRNA expression profiles of pancreatic adenocarcinoma and hepatocellular carcinoma and describes the potential mechanisms by which some oncogenic or tumor suppressive miRNAs act. Furthermore, this review outlines novel therapeutic strategies for targeting miRNAs.
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.