Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer.

Importance: Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respond to immune checkpoint inhibitor (ICI) treatment. For optimal personalized NSCLC care, it is imperative to identify patients who are most likely to benefit from immunotherapy.

Objective: To develop a supervised deep learning-based ICI response prediction method; evaluate its performance alongside other known predictive biomarkers; and assess its association with clinical outcomes in patients with advanced NSCLC.

Interferon Point Alteration in Hospitalized Patients with and Without COVID-19.

Introduction: Integrating traditional Chinese medicine with Western medicine has been extensively studied in managing respiratory disease. Therefore, in this study, we aimed to examine interferon point alteration (IPA) and its association with disease severity in patients with COVID-19.

Methods: This cross-sectional study was conducted on patients hospitalized due to COVID-19 with lung involvement.

Safety, Efficacy, and Biomarker Analysis of Crizotinib in MET-Mutated Non-Small Cell Lung Cancer-Results from the Drug Rediscovery Protocol.

Purpose: To provide patients with MET-mutated advanced non-small cell lung cancer (METmut aNSCLC) access to crizotinib, further substantiate evidence of its efficacy and safety in this setting, and find potential biomarkers for nonresponse.

Patients And Methods: In the Drug Rediscovery Protocol (NCT0295234), patients with an actionable molecular profile are treated with off-label registered drugs. Both treated and untreated patients with aNSCLC harboring MET exon 14 skipping or other MET mutations received crizotinib 250 mg BID until disease progression or intolerable toxicity.

Single-arm trial of neoadjuvant ipilimumab plus nivolumab with chemoradiotherapy in patients with resectable and borderline resectable lung cancer: the INCREASE study.

Background: In non-small cell lung cancer (NSCLC), chemoradiotherapy (CRT) yields pathological complete response (pCR) rates of approximately 30%. We investigated using ipilimumab plus nivolumab (IPI-NIVO) with neoadjuvant CRT in resectable, and borderline resectable NSCLC.

Methods: This single-arm, phase-II trial enrolled operable T3-4N0-2 patients with NSCLC without oncogenic drivers.

Mobocertinib in Patients with EGFR Exon 20 Insertion-Positive Non-Small Cell Lung Cancer (MOON): An International Real-World Safety and Efficacy Analysis.

EGFR exon 20 (EGFR Ex20) insertion mutations in non-small cell lung cancer (NSCLC) are insensitive to traditional EGFR tyrosine kinase inhibitors (TKIs). Mobocertinib is the only approved TKI specifically designed to target EGFR Ex20. We performed an international, real-world safety and efficacy analysis on patients with EGFR Ex20-positive NSCLC enrolled in a mobocertinib early access program.

Comparison of metabolic risk factors, lipid indices, healthy eating index, and physical activity among premenopausal, menopausal, and postmenopausal women.

Introduction: In this study, we aimed to compare metabolic risk factors, lipid indices, healthy eating index, and physical activity among premenopausal, menopausal, and postmenopausal women.

Methods: In this cross-sectional study, a total of 4,732 women participating in the Hoveyzeh Cohort Study were placed into three groups of premenopausal (n=736), menopausal (n=396), and postmenopausal (n=917) women, according to the inclusion and exclusion criteria .

Results: The prevalence of metabolic syndrome was 43.

A phase 2 trial combining afatinib with cetuximab in patients with EGFR exon 20 insertion-positive non-small cell lung cancer.

Background: Epidermal growth factor receptor (EGFR) exon 20 insertion (ex20ins) mutations are the third most common EGFR mutations in patients with non-small cell lung cancer (NSCLC) and are associated with primary resistance to EGFR tyrosine kinase inhibitors (TKIs). There is evidence of activity of combining EGFR TKIs with monoclonal antibodies. This study reports on the efficacy and safety of afatinib in combination with cetuximab.

Effect of Oral Prednisolone on Pain after Tonsillectomy with Sutures: A Randomized Clinical Trial.

Background: Tonsillectomy, one of the most common otolaryngology surgeries, often results in postoperative complications such as pain and bleeding. Currently, there is no consensus on postoperative pain management. This study aimed to determine the efficacy of oral prednisolone on postoperative pain after tonsillectomy with sutures.

Predictive Value of Combined Positive Score and Tumor Proportion Score for Immunotherapy Response in Advanced NSCLC.

Introduction: In advanced-stage NSCLC, tumor proportion score (TPS) is typically used to predict the efficacy of immune checkpoint inhibitors (ICIs). Nevertheless, in other cancer types, the combined positive score (CPS), which covers programmed death-ligand 1 (PD-L1) expression on both tumor and surrounding immune cells, is used. We investigated the predictive value of CPS in comparison to TPS in advanced NSCLC.

Parallel CRISPR-Cas9 screens identify mechanisms of PLIN2 and lipid droplet regulation.

Despite the key roles of perilipin-2 (PLIN2) in governing lipid droplet (LD) metabolism, the mechanisms that regulate PLIN2 levels remain incompletely understood. Here, we leverage a set of genome-edited human PLIN2 reporter cell lines in a series of CRISPR-Cas9 loss-of-function screens, identifying genetic modifiers that influence PLIN2 expression and post-translational stability under different metabolic conditions and in different cell types. These regulators include canonical genes that control lipid metabolism as well as genes involved in ubiquitination, transcription, and mitochondrial function.

Bisphenol A release from food and beverage containers - A review.

Dietary exposure was introduced as the primary way Bisphenol A (BPA) enters the human body. Although significant efforts have been made to analyze BPA's presence in different foodstuffs, less attention has been given to introducing the conditions that facilitate BPA release. This review aimed to mention possible factors affecting BPA release into foods and beverages.

The Effect of Vitamin D Supplement on the Relapsing Incidence of Rhinosinusitis with Nasal Polyposis after Fuctional Endoscpoic Sinus Surgery.

Background: Nasal polyp (NP) is the most common benign tumor that can cause nasal obstruction and more annoying problems in patients. Recently, investigators have been focusing on complementary therapies alone or in conjunction with endoscopic nasal and sinus surgery. However, given the association of Vitamin D (VD) deficiency and chronic rhinosinusitis with nasal polyposis (CRSwNP) in previous studies, it may be possible to prevent the recurrence of NP and the development of rhinosinusitis by controlling serum levels of VD and maintaining it at a normal level.

Therapeutic drug monitoring guided dosing versus standard dosing of alectinib in advanced ALK positive non-small cell lung cancer patients: Study protocol for an international, multicenter phase IV randomized controlled trial (ADAPT ALEC).

Background: Alectinib is first-line therapy in patients with stage IV non-small cell lung carcinoma (NSCLC) and an anaplastic lymphoma kinase (ALK) fusion. A shorter median progression-free survival (mPFS) was observed when alectinib minimum plasma concentrations during steady state (C) were below 435 ng/mL. This may suggest that patients should have an alectinib C ≥ 435 ng/mL for a more favorable outcome.

Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors.

Introduction: Immunotherapy-induced pneumonitis (IIP) is a serious side-effect which requires accurate diagnosis and management with high-dose corticosteroids. The differential diagnosis between IIP and other types of pneumonitis (OTP) remains challenging due to similar radiological patterns. This study was aimed to develop a prediction model to differentiate IIP from OTP in patients with stage IV non-small cell lung cancer (NSCLC) who developed pneumonitis during immunotherapy.

Identification and prediction of Parkinson's disease subtypes and progression using machine learning in two cohorts.

The clinical manifestations of Parkinson's disease (PD) are characterized by heterogeneity in age at onset, disease duration, rate of progression, and the constellation of motor versus non-motor features. There is an unmet need for the characterization of distinct disease subtypes as well as improved, individualized predictions of the disease course. We used unsupervised and supervised machine learning methods on comprehensive, longitudinal clinical data from the Parkinson's Disease Progression Marker Initiative (n = 294 cases) to identify patient subtypes and to predict disease progression.

Association of Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes on Standard Histologic Images With Outcomes of Immunotherapy in Patients With NSCLC.

Importance: Currently, predictive biomarkers for response to immune checkpoint inhibitor (ICI) therapy in lung cancer are limited. Identifying such biomarkers would be useful to refine patient selection and guide precision therapy.

Objective: To develop a machine-learning (ML)-based tumor-infiltrating lymphocytes (TILs) scoring approach, and to evaluate TIL association with clinical outcomes in patients with advanced non-small cell lung cancer (NSCLC).

Evaluating the Mitigation Effect of Spirulina Against Radiation-Induced Heart Injury.

Background: During a radiological or nuclear disaster, exposure to a high dose of ionizing radiation usually results in cardiovascular diseases such as heart failure, attack, and ischemia.

Objective: The purpose of this study was to examine the mitigation effects of Spirulina in comparison to Metformin's.

Methods: 25 male Wistar rats were randomly assigned to five groups (5 rats in each): for the control group, rats did not receive any intervention.

A CRISPRi/a platform in human iPSC-derived microglia uncovers regulators of disease states.

Microglia are emerging as key drivers of neurological diseases. However, we lack a systematic understanding of the underlying mechanisms. Here, we present a screening platform to systematically elucidate functional consequences of genetic perturbations in human induced pluripotent stem cell-derived microglia.

High dose osimertinib in patients with advanced stage EGFR exon 20 mutation-positive NSCLC: Results from the phase 2 multicenter POSITION20 trial.

Introduction: Patients with life-threatening advanced non-small cell lung cancer (NSCLC) who harbor an exon 20 deletion and/or insertion mutation (EGFRex20 + ) have limited effective treatment options. The high dose 3rd generation tyrosine kinase inhibitor (TKI) osimertinib shows promising in vitro activity in EGFRex20 + NSCLC tumors.

Methods: The POSITION20 is a single arm phase II, multicenter study investigating 160 mg osimertinib in patients with EGFRex20+, T790M negative NSCLC.

Real-world experience with capmatinib in exon 14-mutated non-small cell lung cancer (RECAP): a retrospective analysis from an early access program.

Background: Patients with non-small cell lung cancer (NSCLC) presenting with mesenchymal-epithelial transition () exon 14 skipping mutation have an unfavorable prognosis with standard treatments. Capmatinib is a selective MET inhibitor, which showed promising efficacy in this patient population in early trials.

Methods: We performed a retrospective, international, multicenter efficacy and safety analysis in patients with NSCLC treated with capmatinib in an early access program between March 2019 and December 2021.

Current state and upcoming opportunities for immunoPET biomarkers in lung cancer.

Immune oncology therapy (IO) has now become an important treatment option for patients with a non-small cell lung cancer (NSCLC). However, a substantial proportion of patients still fails to benefit from IO. Predictive biomarkers and biomarkers that provide insights in the biological processes at the tumor microenvironment (TME) level could enhance the beneficial impact of IO, and lead to improved drug development strategies.

Multi-modality machine learning predicting Parkinson's disease.

Personalized medicine promises individualized disease prediction and treatment. The convergence of machine learning (ML) and available multimodal data is key moving forward. We build upon previous work to deliver multimodal predictions of Parkinson's disease (PD) risk and systematically develop a model using GenoML, an automated ML package, to make improved multi-omic predictions of PD, validated in an external cohort.

Treatment patterns for adrenal metastases using surgery and SABR during a 10-year period.

We studied treatment patterns for adrenal metastases using surgery or SABR at a single institution during a 10-year period. The number of patients undergoing SABR doubled since 2016, without a change in numbers undergoing surgery. Both treatments resulted in low rates of acute toxicity and similar survivals.