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Background: With rapid advances in genomic medicine, the complexity of delivering precision medicine to oncology patients across a university health system demanded the creation of a Molecular Tumor Board (MTB) for patient selection and assessment of treatment options. The objective of this report is to analyze our progress to date and discuss the importance of the MTB in the implementation of personalized medicine.
Materials And Methods: Patients were reviewed in the MTB for appropriateness for comprehensive next generation sequencing (NGS) cancer gene set testing based on set criteria that were in place. Because profiling of stage IV lung cancer, colon cancer, and melanoma cancers were standard of care, these cancer types were excluded from this process. We subsequently analyzed the types of cases referred for testing and approved with regards to their results.
Results: 191 cases were discussed at the MTB and 132 cases were approved for testing. Forty-six cases (34.8%) had driver mutations that were associated with an active targeted therapeutic agent, including , and . An additional 56 cases (42.4%) had driver mutations previously reported in some type of cancer. Twenty-two cases (16.7%) did not have any clinically significant mutations. Eight cases did not yield adequate DNA. 15 cases were considered for targeted therapy, 13 of which received targeted therapy. One patient experienced a near complete response. Seven of 13 had stable disease or a partial response.
Conclusions: MTB at University of Alabama-Birmingham is unique because it reviews the appropriateness of NGS testing for patients with recurrent cancer and serves as a forum to educate our physicians about the pathways of precision medicine. Our results suggest that our detection of actionable mutations may be higher due to our careful selection. The application of precision medicine and molecular genetic testing for cancer patients remains a continuous educational process for physicians.
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http://dx.doi.org/10.18632/oncotarget.18471 | DOI Listing |
Am J Clin Pathol
December 2024
Department of Pathology and Laboratory Medicine, Cleveland Clinic Foundation, Cleveland, OH, United States.
Objectives: Urothelial carcinoma in situ (CIS) with early papillary formation is terminology sometimes used to suggest incipient high-grade papillary urothelial carcinoma (PUC) but may lead to confusion between true CIS and lateral flat spread of PUC.
Methods: It remains unclear how pathologists and urologists interpret this scenario, so a survey was circulated to 68 pathologists (group 1 = 28 academic genitourinary pathologists; group 2 = 17 pathologists with a self-reported genitourinary focus; group 3 = 23 pathologists self-reported as not genitourinary specialists) and 32 urologists.
Results: Regarding atypical urothelial lesions that appear mainly flat but contain possible papillae, group 3 was more likely to label this as CIS compared with groups 1 and 2 (35% for group 3 vs 13% for groups 1 and 2), while groups 1 and 2 more often adopted another descriptive diagnosis, such as "CIS with early papillary features" (38% for groups 1 and 2 vs 13% for group 3).
Curr Microbiol
December 2024
Department of Medical Laboratory Technology, Dinabandhu Andrews Institute of Technology and Management, BaishnabghataPatuli Township, Block-S, 1/406A, Near Satyajit Ray Park, Patuli, Kolkata, West Bengal, 700094, India.
This review explores the bidirectional relationship between the human microbiome and SARS-CoV-2 infection, elucidating its implications for COVID-19 susceptibility, severity, and therapeutic strategies. Metagenomic analyses reveal notable alterations in microbiome composition associated with SARS-CoV-2 infection, impacting disease severity and clinical outcomes. Dysbiosis within the respiratory, gastrointestinal, oral, and skin microbiomes exacerbates COVID-19 pathology through immune dysregulation and inflammatory pathways.
View Article and Find Full Text PDFClin Exp Med
December 2024
Department of Virology, National Institute of Public Health NIH-National Research Institute, Warsaw, Poland.
Decades of basic and translational research have led to a momentum shift in dissecting the relationship between immune cells and cancer. This culminated in the emergence of breakthrough immunotherapies that paved the way for oncologists to manage certain hard-to-treat cancers. The application of high-throughput techniques of genomics, transcriptomics, and proteomics was conclusive in making and expediting the manufacturing process of cancer vaccines.
View Article and Find Full Text PDFBiomol Biomed
December 2024
Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan Province Engineering Technology Research Center of Molecular Diagnosis of Clinical Diseases, Molecular Diagnosis of Clinical Diseases Key Laboratory of Luzhou, Sichuan, China.
Breast cancer (BC) is a prevalent malignant tumor that poses a significant health risk to women. The complexity of basic BC research and clinical treatment is influenced by multiple factors, including age, fertility, hormone metabolism, molecular subtypes, and tumor grading and staging. Traditional in vitro models often fall short of meeting modern research demands, whereas organoids-an emerging 3D primary culture technology-offer a unique platform that better replicates the tumor microenvironment (TME).
View Article and Find Full Text PDFHealthc Technol Lett
December 2024
Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems Ulster University, Magee campus Derry∼Londonderry Northern Ireland UK.
Missing Alzheimer's disease (AD) data is prevalent and poses significant challenges for AD diagnosis. Previous studies have explored various data imputation approaches on AD data, but the systematic evaluation of deep learning algorithms for imputing heterogeneous and comprehensive AD data is limited. This study investigates the efficacy of denoising autoencoder-based imputation of missing key features of heterogeneous data that comprised tau-PET, MRI, cognitive and functional assessments, genotype, sociodemographic, and medical history.
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