Prognostic Indicators of Overall Survival in Hepatocellular Carcinoma Patients Undergoing Liver Resection.

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer and the third contributor to malignancy-related deaths worldwide. The hepatic venous pressure gradient (HVPG), transient elastography-liver stiffness measurement (TE-LSM), and the association between TBS (tumor burden score), alpha-fetoprotein levels, and the Child-Pugh classification (TAC score) can serve as valuable prognostic indicators for these patients. Therefore, the main objective of our research was to analyze the prognostic value of the HVPG, TE-LSM, TBS, and TAC scores. An observational and survival study was conducted on 144 subjects. Our findings indicated that HVPG greater than 10 mmHg, AFP surpassing 400 ng/mL, an advanced C-P class, and low TAC score are independent predictors of overall survival. During the multivariate analysis, AFP serum levels and C-P class proved statistically significant. The present study revealed significant differences in overall survival between the two groups divided upon HVPG values and settled by the cutoff of 10 mmHg (p = 0.02). Moreover, by dividing the cohort into three groups based on the TAC score (very low, low, and moderate), statistically significant differences in overall survival were observed across the groups (p = 0.004).

Metabolic Signatures: Pioneering the Frontier of Rectal Cancer Diagnosis and Response to Neoadjuvant Treatment with Biomarkers-A Systematic Review.

Colorectal cancer (CRC) is one of the most aggressive, heterogenous, and fatal types of human cancer for which screening, and more effective therapeutic drugs are urgently needed. Early-stage detection and treatment greatly improve the 5-year survival rate. In the era of targeted therapies for all types of cancer, a complete metabolomic profile is mandatory before neoadjuvant therapy to assign the correct drugs and check the response to the treatment given. The aim of this study is to discover specific metabolic biomarkers or a sequence of metabolomic indicators that possess precise diagnostic capabilities in predicting the efficacy of neoadjuvant therapy. After searching the keywords, a total of 108 articles were identified during a timeframe of 10 years (2013-2023). Within this set, one article was excluded due to the use of non-English language. Six scientific papers were qualified for this investigation after eliminating all duplicates, publications not referring to the subject matter, open access restriction papers, and those not applicable to humans. Biomolecular analysis found a correlation between metabolomic analysis of colorectal cancer samples and poor progression-free survival rates. Biomarkers are instrumental in predicting a patient's response to specific treatments, guiding the selection of targeted therapies, and indicating resistance to certain drugs.

Lockdown, Social Media exposure regarding COVID-19 and the relation with self-assessment depression and anxiety. Is the medical staff different?

INTRODUCTION: Locking the humanity in their homes, COVID-19 forced people to use the technology at hand to keep informed about the outbreak and to keep close to their loved ones. During this time, even if physical health is theoretically unaffected, keeping calm and sane can be challenging. The aim of this research was to evaluate whether exposure to COVID-19 information available in the digital space has a different impact on the mental condition of Romanian medical staff, compared with the general population, particularly searching for depression and anxiety symptoms. MATERIALS AND METHODS: An online survey was conducted from April 6 to 16, 2020 within the Romanian users of Social Media platforms. The questionnaire assessed depression with the WHO-Five Well-Being Index, anxiety with the Generalised Anxiety Disorder Scale and Social Media exposure by asking how often the respondents saw COVID-19 related information on the most popular Social Media channels in Romania. Information about: gender, age, educational level, occupation, area of living and risk category was also collected. The risk categories were defined as no risk, medium risk and medical staff. RESULTS: Almost 90% of the 402 participants received daily through at least one Social Media channel information related to the COVID-19 outbreak. Social Media Exposure significantly associated with the risk group only for Facebook and LinkedIn. However, exposure to information regarding COVID-19 was neither associated with anxiety nor depression. No significant association was identified neither between age class and self-assessed anxiety nor self-assessed depression. The self-assessment of depression was significantly more frequent as compared with the self-assessment of anxiety. CONCLUSION: The results of this research are opposite to most of the already published literature. Depression and anxiety could not be correlated with the context of lockdown and excessive COVID-19-related information.