ABSTRACT
[This corrects the article DOI: 10.3389/fonc.2021.640863.].
ABSTRACT
Acute cardiac rejection remains a significant challenge in the post-transplant period, necessitating meticulous monitoring and timely intervention to prevent graft failure. Thus, the goal of the present study was to identify novel biomarkers involved in acute cardiac rejection, paving the way for personalized diagnostic, preventive, and treatment strategies. A total of 809 differentially expressed genes were identified in the GSE150059 dataset. We intersected genes selected by analysis of variance, recursive feature elimination, least absolute shrinkage and selection operator, and random forest classifier to identify the most relevant genes involved in acute cardiac rejection. Thus, HCP5, KLRD1, GZMB, PLA1A, GNLY, and KLRB1 were used to train eight machine learning models: random forest, logistic regression, decision trees, support vector machines, gradient boosting machines, K-nearest neighbors, XGBoost, and neural networks. Models were trained, tested, and validated on the GSE150059 dataset (MMDx-based diagnosis of rejection). Eight algorithms achieved great performance in predicting acute cardiac rejection. However, all machine learning models demonstrated poor performance in two external validation sets that had rejection diagnosis based on histology: merged GSE2596 and GSE4470 dataset and GSE9377 dataset, thus highlighting differences between these two methods. According to SHAP and LIME, KLRD1 and HCP5 were the most impactful genes.
ABSTRACT
Pancreatic cancer has an extremely low prognosis, which is attributable to its high aggressiveness, invasiveness, late diagnosis, and lack of effective therapies. Among all the drugs joining the fight against this type of cancer, microtubule-targeting agents are considered to be the most promising. They inhibit cancer cells although through different mechanisms such as blocking cell division, apoptosis induction, etc. Hereby, we review the functions of microtubule cytoskeletal proteins in tumor cells and comprehensively examine the effects of microtubule-targeting agents on pancreatic carcinoma.
ABSTRACT
Current strategy for treatment of hepatocellular carcinoma (HCC) based on Barcelona-Clinic Liver Cancer (BCLC) criteria dictates that patients with advanced-stage HCC are to only receive treatment with tyrosine kinase inhibitors. However, they prolong overall survival just by slightly more than 6 months. In this article, we present a patient with HCC diagnosed at an advanced stage who received multidisciplinary treatment consisting of transarterial chemoembolization, hepatic resection, pulmonary resection, radiofrequency ablation, tyrosine kinase inhibitors, and radiotherapy, and has survived for more than 2 years since diagnosis and counting.
