ReviewHepatology international2015
Twist in hepatocellular carcinoma: pathophysiology and therapeutics.
Review in Hepatology international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 16 citations in OpenAlex.
- Nanocarrier-mediated targeting of NF-κB and JAK/STAT signaling pathways in hepatocellular carcinoma: mechanisms and therapeutic strategies.Journal of experimental & clinical cancer research : CR · 2026Review
- The prognostic significance of twist in pancreatic cancer and its role in cancer promotion through the regulation of the immune microenvironment and EMT mechanisms.Discover oncology · 2024Article
- Application Value of Antimicrobial Peptides in Gastrointestinal Tumors.International journal of molecular sciences · 2023Review
- ZNF3 regulates proliferation, migration and invasion through MMP1 and TWIST in colorectal cancer.Acta biochimica et biophysica Sinica · 2022Article
- The Characteristics and Mortality of Chinese Herbal Medicine Users among Newly Diagnosed Inoperable Huge Hepatocellular Carcinoma (≥10 cm) Patients: A Retrospective Cohort Study with Exploration of Core Herbs.International journal of environmental research and public health · 2022Article
- PSMC5 Promotes Proliferation and Metastasis of Colorectal Cancer by Activating Epithelial-Mesenchymal Transition Signaling and Modulating Immune Infiltrating Cells.Frontiers in cell and developmental biology · 2021Article
- Targeting liver cancer stem cells for the treatment of hepatocellular carcinoma.Therapeutic advances in gastroenterology · 2019Review
- Article
- The relationship between vasculogenic mimicry and epithelial-mesenchymal transitions.Journal of cellular and molecular medicine · 2016Review
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
Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related disease worldwide. Although HCC is mainly associated with viral hepatitis and alcoholic cirrhosis, numerous physiological and biochemical events are associated with HCC progression. The transcription factor Twist, which plays a key role in epithelial to mesenchymal transition, is reported to be associated with HCC. Overexpression of Twist causes various biochemical changes, such as increase of cell proliferation, reduction of apoptosis, cell cycle deregulation, generation of hepatic cancer stem cells, and in some cases, drug resistance. These changes result in various physiological changes, such as angiogenesis, cellular migration and invasion, and vasculogenic mimicry, which ultimately causes hepatocellular metastasis. Interestingly, targeting Twist via different strategies, especially small RNA technology, has shown promising therapeutic potential for future HCC treatment.
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.