Sorafenib vs chemotherapy in the treatment of locally advanced or metastatic, radioactive iodine-refractory differentiated thyroid cancer: real-world data from Turkey.

Managing locally advanced, or metastatic radioactive iodine-refractory differentiated thyroid cancers (RAIR-DTC) poses substantial challenges, with few available treatment options. The aim of this study was to evaluate clinical outcomes of patients receiving sorafenib as first line treatment. In addition, prognostic markers affecting progression-free survival (PFS) were identified.

HER2 exon 20 mutant non-small cell lung cancer with complete remission of intracranial metastases with trastuzumab deruxtecan: a case report.

Trastuzumab deruxtecan (T-DXd) is a novel anti-HER2 antibody-drug conjugate formed by the combination of trastuzumab and deruxtecan. It is used in human epidermal growth factor 2 receptor (HER2) mutant breast, stomach and colorectal cancers as well as non-small cell lung cancer (NSCLC). The 58-year-old denovo metastatic NSCLC patient we will discuss here progressed with newly developing brain metastasis under first-line carboplatin/paclitaxel treatment.

Which factors help to determine the long-term response to first-line tyrosine kinase inhibitors in patients with metastatic renal cell carcinoma: A Turkish multi-centre study.

Many developing countries lack access to recommended first-line treatments for metastatic renal cell carcinoma (mRCC), such as immune checkpoint inhibitors (ICIs) or ICI-tyrosine kinase inhibitor (TKI) combinations. As a result, predictive markers are necessary to identify patients who may benefit from single-agent TKIs for long-term response. This study aims to identify such parameters.

The effect of parity, breastfeeding history, and duration on clinical and pathological characteristics of breast cancer patients.

Background/aim: The study is aimed to determine the relationship between the delivery and breastfeeding history of the patients and the clinicopathological properties of breast cancer.

Materials And Methods: A questionnaire was utilized for the study, which included the age of diagnosis, the number of children at the time of diagnosis, the age of the children, and the breastfeeding period of each child.

Results: The study included 828 patients.

Clinicopathologic Features and Efficacy of Induction Chemotherapy in Nasopharyngeal Carcinoma: Real-World Experience.

Introduction: Nasopharyngeal carcinoma (NPC) accounts for 0.01% of all carcinomas, and 70% of patients have locally advanced disease with a poor prognosis. The mainstay therapy is chemoradiotherapy (CRT), and concurrent administration of platinum-based agents and irradiation provides high local control rates.

Mathematical modelling of antibiotic interaction on evolution of antibiotic resistance: an analytical approach.

Background: The emergence and spread of antibiotic-resistant pathogens have led to the exploration of antibiotic combinations to enhance clinical effectiveness and counter resistance development. Synergistic and antagonistic interactions between antibiotics can intensify or diminish the combined therapy's impact. Moreover, these interactions can evolve as bacteria transition from wildtype to mutant (resistant) strains.

The Effectiveness of Adjuvant PD-1 Inhibitors in Patients With Surgically Resected Stage III/IV Acral Melanoma.

Our aim was to assess the efficacy of adjuvant programmed cell death protein-1 (PD-1) inhibitors and compare the other adjuvant treatments in patients with surgically resected stage III or IV acral melanoma. This study is a multicenter, retrospective analysis. We included 114 patients with stage III or IV acral malignant melanoma who underwent surgery within the past 10 years.

The prognostic factors in patients with advanced hepatocellular carcinoma: impact of treatment sequencing.

The prognosis of patients with advanced HCC can vary widely depending on factors such as the stage of the cancer, the patient's overall health, and treatment regimens. This study aimed to investigate survival outcomes and associated factors in patients with hepatocellular carcinoma (HCC). In this retrospective study, data from 23 medical oncology clinics were analyzed.

PNI as a Potential Add-On Biomarker to Improve the IMDC Intermediate Prognostic Score.

Introduction: This study aimed to assess the role of the adjusted PNI-IMDC risk scoring system in stratifying the intermediate group of metastatic RCC patients who received TKIS in the first-line setting.

Methods: A total of 185 patients were included. The adjusted PNI and IMDC model was used to divide the intermediate group into two groups: intermediate PNI-high and intermediate PNI-low groups.

Syrian Refugee and Turkish Women with Breast Cancer: A Comparison on Clinicopathological Features and Survival.

Background: Cancer is a significant health problem for refugees and host countries. Breast cancer is the most common cancer among refugees. The subject of our study is to examine the clinical and pathological features of Syrian refugees with breast cancer and compare them with Turkish patients with breast cancer.

The effect of low HER2 expression on treatment outcomes in metastatic hormone receptor positive breast cancer patients treated with a combination of a CDK4/6 inhibitor and endocrine therapy: A multicentric retrospective study.

Background: CDK4/6 inhibitors combined with endocrine therapy have significantly improved treatment outcomes for metastatic hormone receptor-positive (HR+) breast cancer patients. However, the impact of low HER2 expression on treatment response and progression-free survival (PFS) remains unclear.

Methods: This multicenter retrospective study included 204 HR+ breast cancer patients treated with a combination of CDK4/6 inhibitor and endocrine therapy.

Effect of sojourn time distributions on the early dynamics of COVID-19 outbreak.

Compartmental models are commonly used in practice to investigate the dynamical response of infectious diseases such as the COVID-19 outbreak. Such models generally assume exponentially distributed latency and infectiousness periods. However, the exponential distribution assumption fails when the sojourn times are expected to distribute around their means.

Machine learning aided multiscale modelling of the HIV-1 infection in the presence of NRTI therapy.

Human Immunodeficiency Virus (HIV) is one of the most common chronic infectious diseases in humans. Extending the expected lifetime of patients depends on the use of optimal antiretroviral therapies. Emergence of the drug-resistant strains can reduce the effectiveness of treatments and lead to Acquired Immunodeficiency Syndrome (AIDS), even with antiretroviral therapy.

Forecasting contamination in an ecosystem based on a network model.

This paper aims to predict heavy metal pollution based on ecological factors with a new approach, using artificial neural networks (ANNs), by significantly removing typical obstacles like time-consuming laboratory procedures and high implementation costs. Pollution prediction is crucial for the safety of all living things, for sustainable development, and for policymakers to make the right decisions. This study focuses on predicting heavy metal contamination in an ecosystem at a significantly lower cost because pollution assessment still primarily relies on conventional methods, which are recognized to have disadvantages.

Prediction of HIV-1 protease resistance using genotypic, phenotypic, and molecular information with artificial neural networks.

Drug resistance is a primary barrier to effective treatments of HIV/AIDS. Calculating quantitative relations between genotype and phenotype observations for each inhibitor with cell-based assays requires time and money-consuming experiments. Machine learning models are good options for tackling these problems by generalizing the available data with suitable linear or nonlinear mappings.

Effects of kangaroo mother care on feeding intolerance in preterm infants.

Objective: Feeding intolerance (FI) is a common condition in preterm infants because they have an immature gastrointestinal tract. There are studies on the effects of the position on gastric residual volume (GRV) in preterm infants. Kangaroo mother care (KMC) may be an instrument for reducing FI by providing an upright position to infants.

Using a real-world network to model the trade-off between stay-at-home restriction, vaccination, social distancing and working hours on COVID-19 dynamics.

Background: Human behaviour, economic activity, vaccination, and social distancing are inseparably entangled in epidemic management. This study aims to investigate the effects of various parameters such as stay-at-home restrictions, work hours, vaccination, and social distance on the containment of pandemics such as COVID-19.

Methods: To achieve this, we have developed an agent based model based on a time-dynamic graph with stochastic transmission events.

The effectiveness and safety of neoadjuvant pertuzumab and trastuzumab in women with locally advanced, inflammatory, or early-stage human epidermal growth factor receptor 2-positive breast cancer: Turkish Oncology Group study.

In our study, we aimed to evaluate the pathological response rates and side effect profile of adding pertuzumab to the treatment of HER2+ locally advanced, inflammatory, or early-stage breast cancer. This study was conducted by the Turkish Oncology Group (TOG) with data collected from 32 centers. Our study was multicentric, and a total of 364 patients were included.

An investigation on environmental pollution due to essential heavy metals: a prediction model through multilayer perceptrons.

This research is to predict heavy metal levels in plants, particularly in L., and soils using an effective artificial intelligence approach with some ecological parameters, thereby significantly eliminating common defects such as high cost and seriously tedious and time-consuming laboratory procedures. In this respect, the artificial neural network (ANN) is employed to estimate the concentrations of essential heavy metals such as Fe, Mn and Ni, depending on the Cu and Zn concentrations of plant and soil samples collected from five different locations.

Deficient Mismatch Repair and Lymphocytic Response to Tumor as Prognostic Markers in Stage II Colon Cancer Patients.

Objective: To investigate the relationship between colon cancer (CC) subtypes defined by the status of tumor-infiltrating lymphocytes (TIL) and mismatch repair (MMR) combination with clinicopathological features and survival.

Study Design: Observational study.

Place And Duration Of Study: Department of Medical Oncology, Haydarpaşa Numune Research and Training Hospital, Istanbul, Turkey, from July 2010 to March 2020.

The Effect of FDG-PET/CT on Clinical Prognostic Staging of Breast Cancer Patients being Planned Neoadjuvant Treatment.

Objective: To evaluate the effect of FDG-PET/CT in the radiological imaging of breast cancer (BC) patients planned for neoadjuvant treatment (NAT), on the clinical prognostic stage (CPS).

Study Design: A descriptive study.

Place And Duration Of Study: Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey, between June 2014 and September 2020.

The Role of FDG PET/CT to Evaluation of Axillary Lymph Nodes after Neoadjuvant Chemotherapy in Breast Cancer.

Objective: To determine the diagnostic value of breast and axillary maximum standard uptake (SUVmax) values for predicting ypT0 and ypN0 separately.

Study Design: A descriptive study.

Place And Duration Of Study: Department of Medical Oncology, Haydarpasa Numune Training and Research Hospital, between May 2017 and September 2020.

Comparison between body composition parameters and response to neoadjuvant chemotherapy by using pre-treatment PET CT in locally advanced breast cancer.

Purpose: To compare the adipose and muscle tissue areas in patients who responded differently to neoadjuvant chemotherapy.

Methods: One hundred and eighty six patients diagnosed with breast cancer who underwent neoadjuvant chemotherapy between January 2015- October 2019 and were operated after the treatment were retrospectively included in the study. Pathological results were divided into five groups using the Miller-Payne grading systems.