AI Article Synopsis
- Hepatocellular carcinoma (HCC) has a high mortality rate and is often diagnosed late, highlighting the need for effective biomarkers in cancer research.
- The study focuses on quantifying the mRNA levels of key signaling molecules involved in tumorigenesis, particularly those related to cancer hallmarks and epithelial-mesenchymal transition (EMT), using a murine transplantable hepatocarcinoma model (AS-30D).
- Results showed elevated mRNA levels of master regulators of EMT and a mesenchymal signature in AS-30D cells, indicating they are a useful and cost-effective model for studying HCC-related gene expression changes.
Article Abstract
Hepatocellular carcinoma is one of the cancers with the highest mortality rate worldwide. HCC is often diagnosed when the disease is already in an advanced stage, making the discovery and implementation of biomarkers for the disease a critical aim in cancer research. In this study, we aim to quantify the transcript levels of key signaling molecules relevant to different pathways known to participate in tumorigenesis, with special emphasis on those related to cancer hallmarks and epithelial-mesenchymal transition, using as a model the murine transplantable hepatocarcinoma AS-30D. Using qPCR to quantify the mRNA levels of genes involved in tumorigenesis, we found elevated levels for and , two master regulators of EMT. A mesenchymal signature profile for AS-30D cells is also supported by the overexpression of genes encoding for molecules known to be associated to aggressiveness and metastatic phenotypes such as , , and . This study supports the use of the AS-30D cells as an efficient and cost-effective model to study gene expression changes in HCC, especially those associated with the EMT process.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561839 | PMC |
| http://dx.doi.org/10.3389/fonc.2021.670292 | DOI Listing |
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Article Synopsis
- Hepatocellular carcinoma (HCC) has a high mortality rate and is often diagnosed late, highlighting the need for effective biomarkers in cancer research.
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