Using Principal Paths to Walk Through Music and Visual Art Style Spaces Induced by Convolutional Neural Networks

AbstractComputational intelligence, particularly deep learning, offers powerful tools for discriminating and generating samples such as images. Deep learning methods have been used in different artistic contexts for neural style transfer, artistic style recognition, and musical genre recognition. Using a constrained manifold analysis protocol, we discuss to what extent spaces induced by deep-learning convolutional neural networks can capture historical/stylistic progressions in music and visual art. We use a path-finding algorithm, called principal path, to move from one point to another. We apply it to the vector space induced by convolutional neural networks. We perform experiments with visual artworks and songs, considering a subset of classes. Within this simplified scenario, we recover a reasonable historical/stylistic progression in several cases. We use the principal path algorithm to conduct an evolutionary analysis of vector spaces induced by convolutional neural networks. We perform several experiments in the visual art and music spaces. The principal path algorithm finds reasonable connections between visual artworks and songs from different styles/genres with respect to the historical evolution when a subset of classes is considered. This approach could be used in many areas to extract evolutionary information from an arbitrary high-dimensional space and deliver interesting cognitive insights

Spathial: an R package for the evolutionary analysis of biological data

Abstract Summary A primary problem in high-throughput genomics experiments is finding the most important genes involved in biological processes (e.g. tumor progression). In this applications note, we introduce spathial, an R package for navigating high-dimensional data spaces. spathial implements the Principal Path algorithm, which is a topological method for locally navigating on the data manifold. The package, together with the core algorithm, provides several high-level functions for interpreting the results. One of the analyses we propose is the extraction of the genes that are mainly involved in the progress from one state to another. We show a possible application in the context of tumor progression using RNA-Seq and single-cell datasets, and we compare our results with two commonly used algorithms, edgeR and monocle3, respectively. Availability and implementation The R package spathial is available on the Comprehensive R Archive Network (https://cran.r-project.org/web/packages/spathial/index.html) and on GitHub (https://github.com/erikagardini/spathial). It is distributed under the GNU General Public License (version 3). Supplementary information Supplementary data are available at Bioinformatics online

Incorporating alpha-fetoprotein within dimensional criteria for hepatocellular carcinoma transplantation

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BRCA in Gastrointestinal Cancers: Current Treatments and Future Perspectives

: A strong association between pancreatic cancer and BRCA1 and BRCA2 mutations is documented. Based on promising results of breast and ovarian cancers, several clinical trials with poly (ADP-ribose) polymerase inhibitors (PARPi) are ongoing for gastrointestinal (GI) malignancies, especially for pancreatic cancer. Indeed, the POLO trial results provide promising and awaited changes for the pancreatic cancer therapeutic landscape. Contrariwise, for other gastrointestinal tumors, the rationale is currently only alleged. The role of BRCA mutation in gastrointestinal cancers is the subject of this review. In particular, we aim to provide the latest updates about novel therapeutic strategies that, exploiting DNA repair defects, promise to shape the future therapeutic scenario of GI cancers

Treatment of squamous cell carcinoma of the anal canal (SCCA): A new era?

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Preoperative Chemotherapy and Resection Margin Status in Colorectal Liver Metastasis Patients: A Propensity Score-Matched Analysis

In this article, we compared the early and long-term outcomes of patients with metastatic colorectal cancer treated with chemotherapy followed by resection with those of patients undergoing surgery first, focusing our analysis on resection margin status. Patients who underwent liver resection with curative intent for colorectal liver metastases from July 2001 to January 2018 were included in the analysis. Propensity score matching was used to reduce treatment allocation bias. The cohort comprised 164 patients; 117 (71.3%) underwent liver resection first, whereas the remaining 47 (28.7%) had preoperative chemotherapy. After a 1:1 ratio of propensity score matching, 47 patients per group were evaluated. A positive resection margin was found in 13 patients in the surgery-first group (25.5%) versus 4 (8.5%) in the preoperative chemotherapy group (P = 0.029). Postmatched logistic regression analysis showed that only preoperative chemotherapy was significantly associated with the rate of positive resection margin (odds ratio 0.24, 95% confidence interval 0.07-0.81; P = 0.022). Median follow-up was 41 months (interquartile range 8-69). Cox proportional hazard regression analysis revealed that only positive resection margin was a significant negative prognostic factor (hazard ratio 2.2, 95% CI 1.18-4.11; P = 0.014). Within the preoperative chemotherapy group, median overall survival was 40 months in R0 patients and 10 months in R1 patients (P = 0.016). Although preoperative chemotherapy in colorectal liver metastasis patients may affect the rate of positive resection margin, its impact on survival seems to be limited. In the present study, the most important prognostic factor was the resection margin status

Cabozantinib as a second-line treatment option in hepatocellular carcinoma

Introduction: Hepatocellular carcinoma (HCC) is one of the most frequent tumors affecting the gastrointestinal tract and a universal cause of morbidity and mortality. Cabozantinib is a strong multi-inhibitor of receptor tyrosine kinases approved for renal cell carcinoma that could be useful also for the treatment of HCC. Areas covered: This review describes the chemical structure, the pharmacologic properties and current knowledge of the efficacy of cabozantinib in the treatment of HCC based on data available from first phase and later phase clinical trials. The ongoing studies testing cabozantinib, either alone or in combination with other drugs, are also described. Expert opinion: Despite the recent achievements in the use of cabozantinib for patients diagnosed with hepatocellular carcinoma, data are still needed to allow clinicians to make better decisions on how to treat specific patient subgroups.</p

Acute oxaliplatin-induced thrombotic thrombocytopenic purpura: A case report and results from a cytoflourimetric assay of platelet fibrinogen receptor

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Radioembolization versus chemoembolization for unresectable hepatocellular carcinoma: a meta-analysis of randomized trials

PURPOSE: This study aimed to compare clinically relevant outcomes following transarterial chemoembolization (TACE) and transarterial radioembolization (TARE) in patients with unresectable hepatocellular carcinoma (HCC) using only prospective randomized clinical trials as a source of information. MATERIALS AND METHODS: A meta-analysis was performed to compare the efficacy of TARE and TACE in treating patients with unresectable HCC. Only prospective randomized trials were included in the quantitative analysis. Overall and progression-free survival, disease control rate, and transplantation rate were the variables under analysis. RESULTS: Overall survival at 1 year was similar between the two treatment groups (OR =1.31, 95% CI: 0.56-3.04, P=0.53). Progression-free survival at 1 year was also not statistically different between the two treatments (OR =0.23, 95% CI: 0.02-2.45, P=0.22). Although a higher proportion of patients underwent transplantation in the TARE group (30% vs 20.8%), this difference was not statistically significant (OR =0.68, 95% CI: 0.23-2.01; P=0.49). CONCLUSION: TARE and TACE provide similar outcomes in unresectable HCC. The role of TARE should be explored in selected patient subpopulations in future clinical trials