ArticleOncology letters2021
High expression of microRNA-1266 in hepatocellular carcinoma is associated with poor prognosis of patients and biological cell growth.
Article in Oncology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 6 citations in OpenAlex.
- Independent Prognosis Prediction of Hepatocellular Carcinoma Using MicroRNA-Based Single and Combined Biomarkers.Canadian journal of gastroenterology & hepatology · 2026Review
- Independent prognostic significance of tissue and circulating microrna biomarkers in hepatocellular carcinoma.Discover oncology · 2025Review
- microRNA-1266-5p directly targets DAB2IP to enhance oncogenicity and metastasis in oral cancer.Journal of dental sciences · 2022Article
- miR-1266-3p Suppresses Epithelial-Mesenchymal Transition in Colon Cancer by Targeting P4HA3.Analytical cellular pathology (Amsterdam) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is a cancer with a poor prognosis and a low survival rate. Previous studies have found that microRNA-1266 (miR-1266) is associated with tumorigenesis and progression of several types of cancer, such as breast cancer and gastric cancer. The aim of the present study was to investigate the effects of miR-1266 on the clinical prognosis and biological behavior of HCC. For this purpose, reverse transcription-quantitative PCR was used to detect the expression of miR-1266 in HCC tissues and HCC cell lines. In addition, Kaplan-Meier survival analysis and Cox regression analysis were used to evaluate the prognostic value of miR-1266. Cell Counting Kit-8 (CCK-8) and Transwell assays were used to analyze the effect of miR-1266 on the biological behavior of cells. The aforementioned assays demonstrated that the examined HCC tissues had a significant upregulation of miR-1266 expression compared with normal tissues (P<0.001). The overexpression of miR-1266 was significantly associated with Tumor-Node-Metastasis stage (P=0.014). The results of the Kaplan-Meier analysis indicated that the 5-year overall survival rate of patients with high expression of miR-1266 was significantly lower compared with patients with low expression of miR-1266 (P=0.015). Cox regression analysis demonstrated that the expression level of miR-1266 could be used as an independent prognostic factor of HCC. CCK-8 and Transwell assays demonstrated that overexpression of miR-1266 promoted the proliferation, migration and invasion of HCC cells. In summary, the findings of the present study indicated that high expression of miR-1266 was positively associated with poor prognosis of patients with HCC and promoted cell proliferation, migration and invasion of HCC cells. miR-1266 may be used as a biomarker for HCC prognosis.
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.