Review
Health Care Sciences & Services
Areej G. Mesleh, Sara A. Abdulla, Omar El-Agnaf
Summary: Autism spectrum disorder (ASD) is a multifactorial neurodevelopmental disorder characterized by impairments in social/communication skills and repetitive behavioral patterns. The prevalence of ASD has increased, with varying severity of symptoms and potential comorbidities. Discovering biomarkers is crucial for early screening of ASD.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Review
Biochemistry & Molecular Biology
Fangyoumin Feng, Bihan Shen, Xiaoqin Mou, Yixue Li, Hong Li
Summary: The response rate of most anti-cancer drugs is limited due to cancer heterogeneity and complex drug mechanisms. Personalized treatment using molecular biomarkers shows promise. Advances in pharmacogenomics, especially computational methods in drug response prediction, have been successful and increasingly utilized in personalized cancer medicine.
JOURNAL OF GENETICS AND GENOMICS
(2021)
Article
Oncology
Yumiko Kawata-Shimamura, Hidetaka Eguchi, Reika Kawabata-Iwakawa, Mitsuhiko Nakahira, Yasushi Okazaki, Tetsuya Yoda, Reidar Grenman, Masashi Sugasawa, Masahiko Nishiyama
Summary: This study aimed to identify predictive markers and/or targets for the cellular response to conventional chemotherapy drugs in hypopharyngeal cancer. Four molecules were found to be the most potent predictive markers, and the study also provided information on the potential action pathways between these markers and the relevant drugs.
Review
Immunology
Chiara Massa, Barbara Seliger
Summary: Personalized cancer treatment is essential due to the differences in tumor characteristics and immune responses among patients. Predictive biomarkers and omics-based analyses can help identify the best therapy for each individual.
FRONTIERS IN IMMUNOLOGY
(2023)
Review
Biochemistry & Molecular Biology
Ethan Hau Yin Lam, Fengqing Yu, Sabrina Zhu, Zongjie Wang
Summary: In the past decade, personalized medicine has made significant progress in addressing patient-specific disease complexities and developing individualized treatment strategies. The emergence of 3D bioprinting has provided novel opportunities for personalized medicine, although current bioprinted constructs have limitations in achieving anatomically realistic organs with mature biological functions. This review discusses the principles and realizations of bioprinting, focusing on techniques such as extrusion printing and digital light processing (DLP). It also explores the applications of bioprinted constructs in regenerative medicine and drug discovery. Despite the challenges, bioprinting shows promise as an empowering technology to overcome critical obstacles in personalized medicine.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Biotechnology & Applied Microbiology
Christine Yee, Kristie-Ann Dickson, Mohammed N. Muntasir, Yue Ma, Deborah J. Marsh
Summary: Ovarian cancer has the highest mortality rate among gynecological malignancies. Different histotypes of the cancer respond differently to treatments, with chemoresistance being a key factor in incurable disease. While PARP inhibitors and bevacizumab are currently used in clinical settings, further research is needed to predict patient responses to these drugs effectively.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Health Care Sciences & Services
Grace S. Shieh
Summary: This article reviews the applications of the synthetic lethal (SL) concept in translational cancer medicine over the past five years. It discusses the use of SL concept in drug combinations to overcome tumor resistance, the identification of prognostic and predictive biomarkers using synthetic lethality, the application of SL interactions in stratifying patients for targeted and immunotherapy, as well as the challenges and future directions in this field.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Review
Pharmacology & Pharmacy
Fabio Boniolo, Emilio Dorigatti, Alexander J. Ohnmacht, Dieter Saur, Benjamin Schubert, Michael P. Menden
Summary: Precision medicine aims to treat diseases based on environmental factors, lifestyles, and molecular profiles of patients. Currently, it only uses a few molecular biomarkers for decision-making, but future applications are expected to leverage artificial intelligence to capture the full molecular landscape of patients.
EXPERT OPINION ON DRUG DISCOVERY
(2021)
Article
Health Care Sciences & Services
Haoyang Zheng, Jeffrey R. Petrella, P. Murali Doraiswamy, Guang Lin, Wenrui Hao
Summary: This study developed an innovative data-driven approach to build a causal model for characterizing the trajectories of AD biomarkers, integrating causal model learning, population parameterization, parameter sensitivity analysis, and personalized prediction, which led to significant progress in the field of AD research.
NPJ DIGITAL MEDICINE
(2022)
Review
Medicine, General & Internal
Yinan Xiao, Meiyu Bi, Hongyan Guo, Mo Li
Summary: This review summarizes the recent advances and perspectives in the use of multi-omics technologies in ovarian cancer research, highlighting their potential applications in identifying novel biomarkers and improving clinical assessments.
Article
Medicine, General & Internal
Nina Bertele, Alexander Karabatsiakis, Claudia Buss, Anat Talmon
Summary: The study used k-mean cluster analytics to identify biochemical clusters and their link to diseases in US and Japanese samples. It found a high-risk cluster with high inflammatory signaling and low cortisol and creatinine concentrations, which also reported the highest childhood maltreatment exposure. These clusters may have predictive character and childhood maltreatment could be a leverage point for disease prevention/intervention.
Review
Health Care Sciences & Services
Francesca Cianci, Ivan Verduci
Summary: The loss of function and aberrant expression of ion channels and transporters, particularly the CLIC1 protein, play a crucial role in the development of diseases such as cancer and neurodegenerative diseases.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Oncology
Nahim Adnan, Tanzira Najnin, Jianhua Ruan
Summary: Accurate prediction of breast cancer metastasis risks is crucial for cancer treatment and overall survival. This study proposes a computational method to construct personalized models for breast cancer prediction, where different models are trained for each patient using a selected group of training patients. Experimental results show that the proposed method achieves significantly better prediction accuracy and identifies robust features associated with subtype-specific metastasis.
Review
Pharmacology & Pharmacy
Katja Goricar, Vita Dolzan, Metka Lenassi
Summary: EVs have emerged as a potential source of biomarkers in liquid biopsy, offering valuable insights for personalized cancer treatment in oncology.
FRONTIERS IN PHARMACOLOGY
(2021)
Review
Gastroenterology & Hepatology
Stephen L. Chan, Nathalie Wong, W. K. Jacky Lam, Ming Kuang
Summary: Advances in systemic treatment for hepatocellular carcinoma (HCC) have introduced more options but personalized treatment approaches are crucial due to differing patient responses. Biomarker data and tumor heterogeneity analysis have proven to be effective methods in guiding treatment decisions for HCC patients.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
(2022)
Article
Dermatology
Matthew J. Davis, Gokul Srinivasan, Rachael Chacko, Sophie Chen, Anish Suvarna, Louis J. Vaickus, Veronica C. Torres, Sassan Hodge, Eunice Y. Chen, Sarah Preum, Kimberley S. Samkoe, Brock C. Christensen, Matthew R. Leboeuf, Joshua J. Levy
Summary: The development and application of AI algorithms are of great significance for the removal of cSCC, as they can improve operational efficiency and accuracy, especially for moderately and poorly differentiated tumors/ neoplasms. Further improvement is needed to maintain sensitivity to surrounding tissue and determine anatomical positioning.
EXPERIMENTAL DERMATOLOGY
(2024)
Article
Dermatology
Lingjing Chen, Qing Yu, Feiying Guo, Xuewen Wang, Zhenying Cai, Qiang Zhou
Summary: This study investigated the role and mechanisms of NTS in stress-induced hair growth inhibition. The results demonstrated that NTS effectively counteracted hair growth inhibition caused by stress and regulated the expression of multiple genes related to hair growth at the transcriptional level.
EXPERIMENTAL DERMATOLOGY
(2024)