Comprehensive Genome Profiling for Treatment Decisions in Patients with Metastatic Tumors: Real-World Evidence Meta-Analysis and Registry Data Implementation.

Background: Although precision oncology has rapidly been developed in recent years, its real-world impact and challenges in healthcare implementation remain underexplored. Through a meta-analysis of real-world evidence (RWE), we aimed at investigating the applicability and clinical impact of comprehensive cancer genome profiling (CGP) in cancer patients with metastatic solid tumors.

Methods: We systematically searched Medline, Embase, and Web of Science for RWE studies on CGP and matched therapies in metastatic solid tumors (publication period: 2012-2023).

Postoperative Radiotherapy ± Cetuximab for Intermediate-Risk Head and Neck Cancer.

Purpose: Radiotherapy (RT)/cetuximab (C) demonstrated superiority over RT alone for locally advanced squamous head and neck cancer. We tested this in completely resected, intermediate-risk cancer.

Methods: Patients had squamous cell carcinoma of the head and neck (SCCHN) of the oral cavity, oropharynx, or larynx, with one or more risk factors warranting postoperative RT.

Integrating univariate and multivariate stability indices for breeding clime-resilient barley cultivars.

Studying genetic variability through the phenotypic performance of genotypes is crucial in the breeding program. Therefore, evaluating both yield performance and stability across diverse environments is essential in yield trials to identify high-yield potential and stable cultivars. In this study, we employed 12 univariate and 10 multivariate stability models to analyze how genotype (G), environment (E), and their interaction (G × E) affect the yield performance of 32 barley genotypes across 10 environments.

Olaparib as treatment for platinum-sensitive relapsed ovarian cancer by BRCA mutation and homologous recombination deficiency: Phase 2 LIGHT study final overall survival analysis.

Background: LIGHT (oLaparib In HRD-Grouped Tumor types; NCT02983799) prospectively evaluated olaparib treatment in patients with platinum-sensitive relapsed ovarian cancer (PSROC) assigned to cohorts by known BRCA mutation (BRCAm) and homologous recombination deficiency (HRD) status: germline BRCAm (gBRCAm), somatic BRCAm (sBRCAm), HRD-positive non-BRCAm, and HRD-negative. At the primary analysis, olaparib treatment demonstrated activity across all cohorts, with greatest efficacy in terms of objective response rate and progression-free survival observed in the g/sBRCAm cohorts. The authors report final overall survival (OS).

Machine Learning Assisted Bithiophene Based Donor Acceptor Selection to Design New Fluoresent Dyes for Photovoltaic Applications.

This study investigates the electronic properties and photovoltaic (PV) performance of newly designed bithiophene-based dyes, focusing on their light harvesting efficiency (LHE), open-circuit voltage (V), fill factor (FF), and short-circuit current density (J).These new dyes are designed with the help of machine learning (ML) to design best donor acceptor designs. For this, we collect 2567 differenr electron donor groups and calculated their bandgap with the help of Random Forest (RF) Regression method.