Primary immunodeficiency disorders (PIDs) represent a range of genetically determined diseases that typically have increased susceptibility to infections and in many cases also have evidence of immune dysregulation that often presents as autoimmunity. Most recently, the concept of gain-of-function mutations associated with PIDs has become well recognized and adds a new dimension to the understanding of this group of disorders, moving beyond the more commonly seen loss-of-function mutations. The rapidly expanding genetic defects that have been identified in patients with previously uncharacterized PIDs has opened up the potential for targeted therapy directed at the specific disease-causing abnormality. This has been driven by linking PID-specific genetic defects to the associated unique abnormalities in cellular signaling pathways amenable to directed therapies. These include agents that either block overactive or enhance underresponsive cellular pathways. Selected primary immunodeficiencies were chosen, the genetic defects of which have been recently characterized and are amenable to targeted therapy, as a reflection of the power of precision medicine.
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http://dx.doi.org/10.1016/j.jaci.2017.01.004 | DOI Listing |
Lung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
Retin Cases Brief Rep
October 2024
Singapore National Eye Centre, Singapore.
Purpose: We describe an atypical presentation of an 11-year-old female with enhanced S-cone syndrome (ESCS).
Methods: Case report. The patient underwent a thorough ophthalmic examination and investigations such as colour fundus photography, optical coherence tomography, fundus autofluorescence, fluorescein and indocyanine angiography, an electroretinogram and genetic testing.
J Craniofac Surg
October 2024
Department of Biomedical and Surgical and Biomedical Sciences, Catania University, Catania, Italy.
Background: With the use of machine learning algorithms, artificial intelligence (AI) has become a viable diagnostic and treatment tool for oral cancer. AI can assess a variety of information, including histopathology slides and intraoral pictures.
Aim: The purpose of this systematic review is to evaluate the efficacy and accuracy of AI technology in the detection and diagnosis of oral cancer between 2020 and 2024.
JCO Oncol Pract
January 2025
Division of Oncology, Stanford University School of Medicine, Stanford, CA.
Purpose: Food insecurity is prevalent among patients with cancer. Gaps in our understanding of preferences for food assistance among Latino or Hispanic, immigrant, and people with multiple races and ethnicities limit uptake of food assistance interventions among these populations. We aimed to deeply understand the needs and preferences and barriers to food assistance intervention uptake among low-income, predominantly Latino or Hispanic, immigrant, and people with multiple races and ethnicities and cancer to inform development of tailored interventions.
View Article and Find Full Text PDFClin Chem Lab Med
January 2025
Clinical Laboratory, Sir Run Run Shaw Hospital, School of Medicine, 56660 Zhejiang University, Hangzhou, Zhejiang, China.
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