A Review of Practice-Changing Therapies in Oncology in the Era of Personalized Medicine
Curr Oncol. 2024 Apr 2;31(4):1913-1919. doi: 10.3390/curroncol31040143.ABSTRACTIn the past decade, a lot of insight was gathered into the composition of the host and tumor factors that promote oncogenesis and treatment resistance. This in turn has led to the ingenious design of multiple new classes of drugs, which have now become the new standards of care in cancer therapy. These include novel antibody-drug conjugates, chimeric antigen receptor T cell therapies (CAR-T), and bispecific T cell engagers (BitTE). Certain host factors, such as the microbiome composition, are also emerging not only as biomarkers for the response...
Source: Current Oncology - April 26, 2024 Category: Cancer & Oncology Authors: Mariana Pilon Capella Khashayar Esfahani Source Type: research
EZH2: The roles in targeted therapy and mechanisms of resistance in breast cancer
Biomed Pharmacother. 2024 Apr 25;175:116624. doi: 10.1016/j.biopha.2024.116624. Online ahead of print.ABSTRACTDrug resistance presents a formidable challenge in the realm of breast cancer therapy. Accumulating evidence suggests that enhancer of zeste homolog 2 (EZH2), a component of the polycomb repressive complex 2 (PRC2), may serve as a key regulator in controlling drug resistance. EZH2 overexpression has been observed in breast cancer and many other malignancies, showing a strong correlation with poor outcomes. This review aims to summarize the mechanisms by which EZH2 regulates drug resistance, with a specific focus on...
Source: Biomedicine and pharmacotherapy = Biomedecine and pharmacotherapie - April 26, 2024 Category: Drugs & Pharmacology Authors: Yun Chen Hongyan Zhu Yi Luo Shuangmei Tong Yan Liu Source Type: research
Multi-Omics Integration for Liver Cancer Using Regression Analysis
This report elucidates how the integration of comprehensive data on methylation, gene expression, and copy number variations can effectively facilitate the unsupervised clustering of cancer samples. We have identified regressors that can effectively classify tumor and normal samples with an optimal integration of RNA sequencing, DNA methylation, and copy number variation while also achieving significant p-values. Further, these regressors were trained using linear and logistic regression with k-means clustering. For comparison, we employed autoencoder- and stacking-based omics integration and computed silhouette scores to ...
Source: Current Issues in Molecular Biology - April 26, 2024 Category: Molecular Biology Authors: Aditya Raj Ruben C Petreaca Golrokh Mirzaei Source Type: research
A Review of Practice-Changing Therapies in Oncology in the Era of Personalized Medicine
Curr Oncol. 2024 Apr 2;31(4):1913-1919. doi: 10.3390/curroncol31040143.ABSTRACTIn the past decade, a lot of insight was gathered into the composition of the host and tumor factors that promote oncogenesis and treatment resistance. This in turn has led to the ingenious design of multiple new classes of drugs, which have now become the new standards of care in cancer therapy. These include novel antibody-drug conjugates, chimeric antigen receptor T cell therapies (CAR-T), and bispecific T cell engagers (BitTE). Certain host factors, such as the microbiome composition, are also emerging not only as biomarkers for the response...
Source: Current Oncology - April 26, 2024 Category: Cancer & Oncology Authors: Mariana Pilon Capella Khashayar Esfahani Source Type: research
Multi-Omics Integration for Liver Cancer Using Regression Analysis
This report elucidates how the integration of comprehensive data on methylation, gene expression, and copy number variations can effectively facilitate the unsupervised clustering of cancer samples. We have identified regressors that can effectively classify tumor and normal samples with an optimal integration of RNA sequencing, DNA methylation, and copy number variation while also achieving significant p-values. Further, these regressors were trained using linear and logistic regression with k-means clustering. For comparison, we employed autoencoder- and stacking-based omics integration and computed silhouette scores to ...
Source: Current Issues in Molecular Biology - April 26, 2024 Category: Molecular Biology Authors: Aditya Raj Ruben C Petreaca Golrokh Mirzaei Source Type: research
A Review of Practice-Changing Therapies in Oncology in the Era of Personalized Medicine
Curr Oncol. 2024 Apr 2;31(4):1913-1919. doi: 10.3390/curroncol31040143.ABSTRACTIn the past decade, a lot of insight was gathered into the composition of the host and tumor factors that promote oncogenesis and treatment resistance. This in turn has led to the ingenious design of multiple new classes of drugs, which have now become the new standards of care in cancer therapy. These include novel antibody-drug conjugates, chimeric antigen receptor T cell therapies (CAR-T), and bispecific T cell engagers (BitTE). Certain host factors, such as the microbiome composition, are also emerging not only as biomarkers for the response...
Source: Current Oncology - April 26, 2024 Category: Cancer & Oncology Authors: Mariana Pilon Capella Khashayar Esfahani Source Type: research
Multi-Omics Integration for Liver Cancer Using Regression Analysis
This report elucidates how the integration of comprehensive data on methylation, gene expression, and copy number variations can effectively facilitate the unsupervised clustering of cancer samples. We have identified regressors that can effectively classify tumor and normal samples with an optimal integration of RNA sequencing, DNA methylation, and copy number variation while also achieving significant p-values. Further, these regressors were trained using linear and logistic regression with k-means clustering. For comparison, we employed autoencoder- and stacking-based omics integration and computed silhouette scores to ...
Source: Current Issues in Molecular Biology - April 26, 2024 Category: Molecular Biology Authors: Aditya Raj Ruben C Petreaca Golrokh Mirzaei Source Type: research
A Review of Practice-Changing Therapies in Oncology in the Era of Personalized Medicine
Curr Oncol. 2024 Apr 2;31(4):1913-1919. doi: 10.3390/curroncol31040143.ABSTRACTIn the past decade, a lot of insight was gathered into the composition of the host and tumor factors that promote oncogenesis and treatment resistance. This in turn has led to the ingenious design of multiple new classes of drugs, which have now become the new standards of care in cancer therapy. These include novel antibody-drug conjugates, chimeric antigen receptor T cell therapies (CAR-T), and bispecific T cell engagers (BitTE). Certain host factors, such as the microbiome composition, are also emerging not only as biomarkers for the response...
Source: Current Oncology - April 26, 2024 Category: Cancer & Oncology Authors: Mariana Pilon Capella Khashayar Esfahani Source Type: research
Multi-Omics Integration for Liver Cancer Using Regression Analysis
This report elucidates how the integration of comprehensive data on methylation, gene expression, and copy number variations can effectively facilitate the unsupervised clustering of cancer samples. We have identified regressors that can effectively classify tumor and normal samples with an optimal integration of RNA sequencing, DNA methylation, and copy number variation while also achieving significant p-values. Further, these regressors were trained using linear and logistic regression with k-means clustering. For comparison, we employed autoencoder- and stacking-based omics integration and computed silhouette scores to ...
Source: Current Issues in Molecular Biology - April 26, 2024 Category: Molecular Biology Authors: Aditya Raj Ruben C Petreaca Golrokh Mirzaei Source Type: research
A Review of Practice-Changing Therapies in Oncology in the Era of Personalized Medicine
Curr Oncol. 2024 Apr 2;31(4):1913-1919. doi: 10.3390/curroncol31040143.ABSTRACTIn the past decade, a lot of insight was gathered into the composition of the host and tumor factors that promote oncogenesis and treatment resistance. This in turn has led to the ingenious design of multiple new classes of drugs, which have now become the new standards of care in cancer therapy. These include novel antibody-drug conjugates, chimeric antigen receptor T cell therapies (CAR-T), and bispecific T cell engagers (BitTE). Certain host factors, such as the microbiome composition, are also emerging not only as biomarkers for the response...
Source: Current Oncology - April 26, 2024 Category: Cancer & Oncology Authors: Mariana Pilon Capella Khashayar Esfahani Source Type: research
Multi-Omics Integration for Liver Cancer Using Regression Analysis
This report elucidates how the integration of comprehensive data on methylation, gene expression, and copy number variations can effectively facilitate the unsupervised clustering of cancer samples. We have identified regressors that can effectively classify tumor and normal samples with an optimal integration of RNA sequencing, DNA methylation, and copy number variation while also achieving significant p-values. Further, these regressors were trained using linear and logistic regression with k-means clustering. For comparison, we employed autoencoder- and stacking-based omics integration and computed silhouette scores to ...
Source: Current Issues in Molecular Biology - April 26, 2024 Category: Molecular Biology Authors: Aditya Raj Ruben C Petreaca Golrokh Mirzaei Source Type: research
A Review of Practice-Changing Therapies in Oncology in the Era of Personalized Medicine
Curr Oncol. 2024 Apr 2;31(4):1913-1919. doi: 10.3390/curroncol31040143.ABSTRACTIn the past decade, a lot of insight was gathered into the composition of the host and tumor factors that promote oncogenesis and treatment resistance. This in turn has led to the ingenious design of multiple new classes of drugs, which have now become the new standards of care in cancer therapy. These include novel antibody-drug conjugates, chimeric antigen receptor T cell therapies (CAR-T), and bispecific T cell engagers (BitTE). Certain host factors, such as the microbiome composition, are also emerging not only as biomarkers for the response...
Source: Current Oncology - April 26, 2024 Category: Cancer & Oncology Authors: Mariana Pilon Capella Khashayar Esfahani Source Type: research
Cancers, Vol. 16, Pages 1686: Digital Pathology for Better Clinical Practice
Conclusion: The ongoing progress in DP holds the potential to revolutionize pathology practices, emphasizing the need to incorporate powerful AI technologies, including IS, into clinical settings to enhance personalized cancer therapy. (Source: Cancers)
Source: Cancers - April 26, 2024 Category: Cancer & Oncology Authors: Assia Hijazi Carlo Bifulco Pamela Baldin J érôme Galon Tags: Review Source Type: research
Cancers, Vol. 16, Pages 1674: Deciphering the Role of BCAR3 in Cancer Progression: Gene Regulation, Signal Transduction, and Therapeutic Implications
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This review comprehensively explores the gene BCAR3, detailing its regulation at the gene, mRNA, and protein structure levels, and delineating its multifunctional roles in cellular signaling within cancer contexts. The discussion covers BCAR3’s involvement in integrin signaling and its impact on cancer cell migration, its capability to induce anti-estrogen resistance, and its significant functions in cell cycle regulation. Further highlighted is BCAR3’s modulation of immune responses within the tumor microenvironment, a novel area of interest that holds potential for innovative cancer ther...
Source: Cancers - April 26, 2024 Category: Cancer & Oncology Authors: Dong Oh Moon Tags: Review Source Type: research
Molecules, Vol. 29, Pages 2002: Carbon Quantum Dots: Properties, Preparation, and Applications
This article provides an overview of the properties, preparation methods, raw materials for preparation, and the heteroatom doping of carbon quantum dots, and it summarizes the applications in related fields, such as optoelectronics, bioimaging, drug delivery, cancer therapy, sensors, and environmental remediation. Finally, currently encountered issues of carbon quantum dots are presented. The latest research progress in synthesis and application, as well as the challenges outlined in this review, can help and encourage future research on carbon quantum dots. (Source: Molecules)
Source: Molecules - April 26, 2024 Category: Chemistry Authors: Jichuan Kong Yihui Wei Feng Zhou Liting Shi Shuangjie Zhao Mengyun Wan Xiangfeng Zhang Tags: Review Source Type: research
