Publications by authors named "E D A Grassi"
Background: Rectal cancer (RC) commonly affects older patients. Total Neoadjuvant Therapy (TNT) has been introduced to improve local and systemic control of RC. The aim was to present real-world data of older patients receiving TNT followed by surgery after a frailty assessment and verify feasibility and safety of this approach.
View Article and Find Full Text PDFFractures are one of the most common reasons of admission to emergency department affecting individuals of all ages and regions worldwide that can be misdiagnosed during radiologic examination. Accurate and timely diagnosis of fracture is crucial for patients, and artificial intelligence that uses algorithms to imitate human intelligence to aid or enhance human performs is a promising solution to address this issue. In the last few years, numerous commercially available algorithms have been developed to enhance radiology practice and a large number of studies apply artificial intelligence to fracture detection.
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- * The study focuses on 231 colorectal cancer PDXs, analyzing their genetic and molecular profiles, and how they respond to the drug cetuximab, which targets EGFR in metastatic cancer.
- * Researchers developed a predictive model named CeSta that utilizes multi-omic data from PDXs to forecast cetuximab sensitivity, demonstrating better accuracy than traditional models based on cancer cell lines and offering promise for future therapeutic biomarker identification.
Malignant melanoma is an aggressive cancer, with a high risk of metastasis and mortality rates, characterized by cancer cell heterogeneity and complex tumor microenvironment (TME). Single cell biology is an ideal and powerful tool to address these features at a molecular level. However, this approach requires enzymatic cell dissociation that can influence cellular coverage.
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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.