Publications by authors named "F Fiorica"
Objectives: Liquid biopsy, with its noninvasive nature and ability to detect tumor-specific genetic alterations, emerges as an ideal biomarker for monitoring recurrences for locally advanced rectal cancer (LARC). Completed studies have small sample sizes and different experimental methods. To consolidate and assess the collective evidence regarding the prognostic role of circulating DNA (ctDNA) detection in LARC patients undergoing neoadjuvant chemoradiotherapy (nCRT).
View Article and Find Full Text PDFThe optimal management of rectal cancer remains a subject of ongoing research. This meta-analysis of individual patient data assessed the benefit of chemoradiotherapy (fluorouracil-based) in local advanced rectal cancer: disease-free survival and overall survival. We pooled the data of 6145 patients from 24 studies of rectal cancer who received neoadjuvant radiotherapy with concomitant fluorouracil or capecitabine and surgery.
View Article and Find Full Text PDFBackground & Aims: The average five-year survival of metastatic renal cell carcinoma (mRCC) is 71%. However, there is significant variability in patient prognosis. Immune checkpoint inhibitors (ICIs) have been introduced into the treatment landscape of mRCC.
View Article and Find Full Text PDFCirculating tumor DNA as a biomarker for predicting progression-free survival and overall survival in patients with epithelial ovarian cancer: a systematic review and meta-analysis.
Int J Gynecol Cancer
June 2024
Article Synopsis
- Researchers studied how a special type of DNA found in blood, called ctDNA, could help predict the survival chances of people with a type of cancer called epithelial ovarian cancer.
- They looked at many previous studies to find out if having a lot of ctDNA was linked to shorter survival times for patients.
- The results showed that high levels of ctDNA meant patients were more likely to have a worse prognosis, so more research is needed to understand this better.
Background: The primary objective of this study was to assess the adequacy of analgesic care in radiotherapy (RT) patients, with a secondary objective to identify predictive variables associated with pain management adequacy using a modern statistical approach, integrating the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and the Classification and Regression Tree (CART) analysis.
Methods: This observational, multicenter cohort study involved 1387 patients reporting pain or taking analgesic drugs from 13 RT departments in Italy. The Pain Management Index (PMI) served as the measure for pain control adequacy, with a PMI score < 0 indicating suboptimal management.