Publications by authors named "M Linnebacher"
Background: Malignant gliomas represent a heterogenous group of brain cancers that are characterized by infiltrative growth that lacks a clearly identifiable tumor border. The lack of the possibility of radical surgical resection and targeted therapy results in a poor prognosis. Although Temozolomide (TMZ) is still the leading chemotherapeutic agent in glioma treatment, its efficacy is limited due to the development of tumor resistance.
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- Hepatocellular carcinoma (HCC) is a major cause of cancer deaths globally, prompting research for effective treatment options to combat its quick progression.
- This study highlights fangchinoline (FAN), an alkaloid from the plant Stephania tetrandra, which significantly reduces HCC cell migration and invasion by inhibiting inflammation-associated pathways and proteins.
- Findings showed that FAN not only hindered tumor growth and metastasis in animal models but also suggested that targeting the FOXM1 protein could be a viable therapeutic strategy for treating HCC.
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- Liquid biopsy utilizing cell-free DNA (cfDNA) analysis shows potential for non-invasive cancer diagnosis and monitoring, but the mechanisms behind cfDNA release from tumors are not fully understood.
- A study on colorectal cancer cell lines revealed that increased cfDNA levels were linked to slower cell growth and more cell death, with less DNA methylation correlating to higher cfDNA shedding.
- Researchers developed a methylation signature to differentiate between high and low cfDNA releasers, which was validated on additional colorectal cancer cell lines and patient-derived organoids, demonstrating its predictive capability for cfDNA release.
Background: Colorectal cancer (CRC) is a prevalent malignancy and a leading cause of cancer-related mortality. Extensive research into the aetiology of CRC has revealed that somatic mutations in certain genes play a crucial role in CRC development.AIM: In this study, we utilized data from public databases to investigate prevalent mutation patterns in CRC and developed a prognostic predictive model for CRC patients based on mutant genetic characteristics and other relevant clinical features.
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