Effect of the COVID-19 Pandemic on the Management of Breast Cancer Patients.

The COVID-19 pandemic has significantly affected breast cancer patients by causing delays in diagnosis and treatment processes. This study aims to investigate the effects of the pandemic on the treatment process and short-term outcomes of breast cancer patients. This retrospective, cross-sectional, single-center study included 414 patients who underwent surgery for breast cancer at the Inonu University General Surgery Clinic between March 2018 and June 2021.

Role of Epigenetic Factors in Determining the Biological Behavior and Prognosis of Hepatocellular Carcinoma.

Background: The current study's objective is to evaluate the molecular genetic mechanisms influencing the biological behavior of hepatocellular carcinoma (HCC) by analyzing the transcriptomic and epigenetic signatures of the tumors.

Methods: Transcriptomic data were downloaded from the NCBI GEO database. We investigated the expression differences between the GSE46444 (48 cirrhotic tissues versus 88 HCC tissues) and GSE63898 (168 cirrhotic tissues versus 228 HCC tissues) data sets using GEO2R.

Artificial intelligence-based prediction of molecular and genetic markers for hepatitis C-related hepatocellular carcinoma.

Background: Hepatocellular carcinoma (HCC) is the main cause of mortality from cancer globally. This paper intends to classify public gene expression data of patients with Hepatitis C virus-related HCC (HCV+HCC) and chronic HCV without HCC (HCV alone) through the XGboost approach and to identify key genes that may be responsible for HCC.

Methods: The current research is a retrospective case-control study.

Predicting Duodenal Cancer Risk in Patients with Familial Adenomatous Polyposis Using Machine Learning Model.

Background/aims: The aim of this study was to both classify data of familial adenomatous polyposis patients with and without duode- nal cancer and to identify important genes that may be related to duodenal cancer by XGboost model.

Materials And Methods: The current study was performed using expression profile data from a series of duodenal samples from familial adenomatous polyposis patients to explore variations in the familial adenomatous polyposis duodenal adenoma-carcinoma sequence. The expression profiles obtained from cancerous, adenomatous, and normal tissues of 12 familial adenomatous polyposis patients with duodenal cancer and the tissues of 12 familial adenomatous polyposis patients without duodenal cancer were compared.

Value of fecal calprotectin in prediction of acute appendicitis based on a proposed model of machine learning.

Background: The aim of this study is to apply random forest (RF), one of the machine learning (ML) algorithms, to a dataset consisting of patients with a presumed diagnosis of acute appendicitis (AAp) and to reveal the most important factors associated with the diagnosis of AAp based on the variable importance.

Methods: An open-access dataset comparing two patient groups with (n=40) and without (n=44) AAp to predict biomarkers for AAp was used for this case-control study. RF was used for modeling the data set.

Effect of the COVID-19 Pandemic on the Psychological Health of Patients Who Underwent Liver Transplantation Due to Hepatocellular Carcinoma.

Background: The primary aim of this study was to compare liver transplant (LT) recipients with and without hepatocellular carcinoma (HCC) in terms of COVID-19-related depression, anxiety, and stress.

Method: A total of 504 LT recipients with (HCC group; n = 252) and without HCC (non-HCC group; n = 252) were included in the present case-control study. Depression Anxiety Stress Scales (DASS-21) and Coronavirus Anxiety Scale (CAS) were used to evaluate the depression, stress, and anxiety levels of LT patients.

Modeling Based on Ensemble Learning Methods for Detection of Diagnostic Biomarkers from LncRNA Data in Rats Treated with Cis-Platinum-Induced Hepatotoxicity.

Background: The first aim of this study is to perform bioinformatic analysis of lncRNAs obtained from liver tissue samples from rats treated with cisplatin hepatotoxicity and without pathology. Another aim is to identify possible biomarkers for the diagnosis/early diagnosis of hepatotoxicity by modeling the data obtained from bioinformatics analysis with ensemble learning methods.

Methods: In the study, 20 female Sprague-Dawley rats were divided into a control group and a hepatotoxicity group.

Evaluation of Bone Mineral Metabolism After Liver Transplantation by Bone Mineral Densitometry and Biochemical Markers.

Aim: This study aimed to evaluate the course of bone and mineral metabolism after liver transplantation (LT) in patients with chronic liver disease.

Methods: One hundred four patients who had undergone LT and had a minimum of 6 months of follow-up after LT were included in this prospective cohort study. The following parameters were evaluated for each patient: preoperative and postoperative (postoperative day [POD]30, POD90, POD180) osteocalcin, bone-specific alkaline phosphatase (BALP), type 1 collagen, beta-C-terminal end telopeptide (β-CTx), vitamin D, parathyroid hormone (PTH), ALP, calcium, phosphate, sedimentation, and bone mineral densitometer scores (L2, L4, L total, and F total).

Immunosuppressive Medication Adherence in Patients With Hepatocellular Cancer Who Have Undergo Liver Transplantation: A Case Control Study.

Background: We aimed to compare the adherence to immunosuppressive medication use in patients who underwent liver transplantation (LT) due to hepatocellular carcinoma (HCC) and non-HCC reasons.

Methods: The study population was determined as 242 patients with HCC and 1290 patients with non-HCC who had LT performed in our institute between March 2002 and November 2021; all these patients were contacted by phone in March 2022. The sample size was calculated using the MedCalc software program, and the number of patients required in each group was determined as 111 patients.

Assessment of Liver Regeneration in Patients Who Have Undergone Living Donor Hepatectomy for Living Donor Liver Transplantation.

Background: Inflammation and the associated immune pathways are among the most important factors in liver regeneration after living donor hepatectomy. Various biomarkers, especially liver function tests, are used to show liver regeneration. The aim of this study was to evaluate the course of liver regeneration following donor hepatectomy (LDH) by routine and regeneration-related biomarkers.

Histopathological Features of Gallbladder Specimens Obtained From Liver Recipients.

Background: To evaluate the histopathological features of gallbladder specimens obtained from liver transplantation (LT) recipients and to find the correlation between these findings with the clinical features of patients.

Methods: The 1985 patients who underwent LT in our institute between March 2002 and January 2021 and whose data regarding pathologic analysis of gallbladder could retrospectively be obtained were included in the study. The data of the patients including age, gender, the reason for LT (fulminant or nonfulminant), presence of ascites, macroscopic characteristics of gallbladder (the length, diameter, and wall thickness), and microscopic findings were all obtained and analyzed in the present study.

Machine Learning-based Prediction of HBV-related Hepatocellular Carcinoma and Detection of Key Candidate Biomarkers.

Objective: This study aimed to classify open-access gene expression data of patients with hepatitis B virus-related hepatocellular carcinoma (HBV + HCC) and chronic HBV without HCC (HBV alone) using the XGBoost method, one of the machine learning methods, and reveal important genes that may cause HCC.

Methods: This case-control study used the open-access gene expression data of patients with HBV + HCC and HBV alone. Data from 17 patients with HBV + HCC and 36 patients with HBV were included.

Opinions of nursing and theology faculty students on Xenotransplantation.

Background: It is mentioned that students' opinions about xenotransplantation (XTx) have been explored in a limited manner. In particular, there is no literature in Turkey on Nursing and Theology students' perspectives on XTx. This research aimed to find out what Nursing and Theology students thought about XTx.

Can Temperament and Character Traits Be Used in the Diagnostic Differentiation of Children With ADHD?

In this study, it was aimed to determine the contributions of temperament and character traits to the diagnosis of attention deficit hyperactivity disorder (ADHD) in children. Thirty-six patients between the ages of 9 and 14 with a diagnosis of combined type ADHD and 39 healthy children were included in the study. The Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version-Turkish Version and the Turgay DSM-IV Disruptive Behavior Disorders Rating Scale parent form were used to assess hyperactivity/impulsivity and inattentiveness, and comorbid disorders.