Review
Biochemistry & Molecular Biology
Charalabos Antonatos, Paschalia Asmenoudi, Mariza Panoutsopoulou, Yiannis Vasilopoulos
Summary: The emergence of high-throughput approaches in personalized medicine has greatly enhanced our understanding of inheritable variation and facilitated the identification of response biomarkers. The utilization of pharmaco-omics data has allowed for the discovery of key molecular biomarkers that can predict treatment response, optimizing therapy and enabling tailored treatment plans.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Chemistry, Multidisciplinary
Madhura Murar, Lorenzo Albertazzi, Silvia Pujals
Summary: Nanomedicine utilizes nanotechnology for clinical applications and holds promise for improving cancer treatments. Personalized Medicine aims to match the most effective treatment to individual patients, and nanotheranostics, which combine therapy and diagnostic imaging, can help in treatment selection, monitoring response, and planning therapy.
Review
Allergy
Valerie Hox, Simon Beyaert, Dominique Bullens, Mariana Couto, Daniel Langer, Peter--Willem Hellings, Caroline Huart, Philippe Rombaux, Sven F. Seys, Pavol Surda, Abigail Walker, Brecht Steelant
Summary: Proper nasal breathing is essential for athletes, and nasal symptoms can significantly impact their comfort and quality of life. These symptoms can arise from either structural abnormalities or mucosal issues, requiring different treatment approaches. Athletes are more prone to nasal symptoms compared to the general population, with certain sports environments potentially exacerbating these issues.
Review
Biochemistry & Molecular Biology
Giulia De Riso, Sergio Cocozza
Summary: Epigenetics studies reversible, heritable changes in gene function that are not due to modifications of the genomic sequence, capturing the unique regulatory landscape and exposure to environmental stimuli. Machine Learning is emerging as a powerful tool in deciphering epigenomic data for personalized medicine.
CURRENT MEDICINAL CHEMISTRY
(2021)
Review
Clinical Neurology
Anna K. Bonkhoff, Christian Grefkes
Summary: This review focuses on the application of artificial intelligence in stroke outcome research and discusses how a large amount of patient data can be used for individualized predictions. Different types of data, including demographic, clinical, electrophysiological, and various imaging modalities, can be utilized for predicting the outcome of stroke patients. The review also highlights the methodological issues of novel machine learning approaches and the potential of artificial intelligence in improving stroke outcomes.
Article
Oncology
Raquel Pineiro-Perez, Miguel Abal, Laura Muinelo-Romay
Summary: This review provides a global perspective on the evaluation of circulating biomarkers in endometrial tumors, highlighting the key areas where these markers can be developed into a real clinical tool.
Review
Pharmacology & Pharmacy
Melisa Intan Barliana, Nadiya Nurul Afifah, Riezki Amalia, Laniyati Hamijoyo, Rizky Abdulah
Summary: SLE, a chronic autoimmune disease, is primarily influenced by genetic factors affecting treatment response. Research on gene polymorphisms impacting treatment is essential for advancing personalized medicine practices.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Clinical Neurology
Hyo Min Lee, Fatemeh Fadaie, Ravnoor Gill, Benoit Caldairou, Viviane Sziklas, Joelle Crane, Seok-Jun Hong, Boris C. Bernhardt, Andrea Bernasconi, Neda Bernasconi
Summary: In this study, the authors used unsupervised machine learning to analyze structural MRI data in epilepsy patients. They identified four latent disease factors that were predictive of drug response, surgical outcome, and cognitive dysfunction. This data-driven analysis provides insights into the interindividual variability of the disease and could potentially improve clinical prognostics.
Article
Health Care Sciences & Services
Alfredo Cesario, Marika D'Oria, Irene Simone, Stefano Patarnello, Vincenzo Valentini, Giovanni Scambia
Summary: Personalized medicine utilizes digital and technological solutions to drive innovation and generate new knowledge, while the open innovation paradigm effectively manages transformation in healthcare organizations. This article examines the transition from personalized medicine to personalized digital medicine in a large research hospital, discussing methods, challenges, and results.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Review
Microbiology
Tejinder Pal Singh, Basavaprabhu Haranahalli Natraj
Summary: The gut microbiome plays a crucial role in host health, with potential for manipulation to control individual health and design personalized medicine. Next-generation probiotics (NGPs) show promise as new therapeutic agents, but their unique characteristics and growth requirements present challenges for researchers and regulatory agencies.
CRITICAL REVIEWS IN MICROBIOLOGY
(2021)
Article
Biochemical Research Methods
Chen Yang, Xiaowen Huang, Yan Li, Junfei Chen, Yuanyuan Lv, Shixue Dai
Summary: This study retrospectively analyzed 1135 HCC patients and developed a random forest-based prediction model to estimate TP53 mutational status, as well as a robust poor prognosis-associated signature which showed superior ability to predict survival in TP53-mutant patients. In silico screening revealed three targets and two agents that might have potential therapeutic implications in high-PPS patients, presenting a comprehensive view of potential treatment strategy.
BRIEFINGS IN BIOINFORMATICS
(2021)
Review
Biochemical Research Methods
Radia Hassan, Imane Allali, Francis E. Agamah, Samar S. M. Elsheikh, Nicholas E. Thomford, Collet Dandara, Emile R. Chimusa
Summary: Research on the complex interactions between host genetics and microbiome in drug response can improve drug efficacy and personalize drug treatment. However, limited knowledge on the relationship between host genetics and gut microbiota highlights the need for more comprehensive studies and the development of new methods.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Neurosciences
Betul Ceylan, Elif Duz, Tunahan Cakir
Summary: This study adopted a personalized approach to analyze transcriptome data from 403 patients with Alzheimer's disease (AD) and discovered several affected pathways that were consistent with suggested AD subtypes.
MOLECULAR NEUROBIOLOGY
(2023)
Article
Biochemical Research Methods
Lujun Shen, Jinqing Mo, Changsheng Yang, Yiquan Jiang, Liangru Ke, Dan Hou, Jingdong Yan, Tao Zhang, Weijun Fan
Summary: A new survival path mapping approach is proposed for dynamic prognostication of cancer patients using time-series survival data. The SurvivalPath R package facilitates the building of personalized survival path models by converting time-series data into time-slices data and visualizing it as a tree diagram. The package also includes functions for analyzing connections between exposure/treatment and node transitions, as well as screening patient subgroups with specific features.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Review
Pharmacology & Pharmacy
Emanuele Micaglio, Emanuela T. Locati, Michelle M. Monasky, Federico Romani, Francesca Heilbron, Carlo Pappone
Summary: ADRs are significant causes of morbidity and mortality, involving various drugs and organs. Genetic predisposition towards ADRs is a growing focus for preventive measures and safe therapeutic use of common drugs.
FRONTIERS IN PHARMACOLOGY
(2021)
Article
Oncology
Michael A. Gordon, Nicholas C. D'Amato, Haihua Gu, Beatrice Babbs, Julia Wulfkuhle, Emanuel F. Petricoin, Isela Gallagher, Ting Dong, Kathleen Torkko, Bolin Liu, Anthony Elias, Jennifer K. Richer
MOLECULAR CANCER THERAPEUTICS
(2017)
Review
Biochemical Research Methods
Claudius Mueller, Amanda Haymond, Justin B. Davis, Alexa Williams, Virginia Espina
EXPERT REVIEW OF PROTEOMICS
(2018)
Review
Biochemical Research Methods
Amanda Haymond, Justin B. Davis, Virginia Espina
EXPERT REVIEW OF PROTEOMICS
(2019)
Article
Oncology
Denise M. Wolf, Christina Yau, Julia Wulfkuhle, Lamorna Brown-Swigart, Rosa I. Gallagher, Mark Jesus M. Magbanua, Nick O'Grady, Gillian Hirst, Smita Asare, Debu Tripathy, Don Berry, Laura Esserman, A. Jo Chien, Emanuel F. Petricoin, Laura van't Veer
Article
Oncology
Paula Gonzalez-Ericsson, Julia D. Wulfkhule, Rosa Gallagher, Xiaopeng Sun, Margaret L. Axelrod, Quanhu Sheng, Na Luo, Henry Gomez, Violeta Sanchez, Melinda Sanders, Lajos Pusztai, Emanuel Petricoin, Kim R. M. Blenman, Justin M. Balko
Summary: The study investigated the predictive value of MHC-II expression on tumor cells for the benefit of adding immunotherapy to standard neoadjuvant chemotherapy in HER2-negative breast cancer. The findings suggest that quantitative assessment of MHC-II expression can predict the effectiveness of immunotherapy when combined with standard NAC, but not when used alone. Validation in future clinical trials is recommended.
CLINICAL CANCER RESEARCH
(2021)
Article
Oncology
Mariaelena Pierobon, Nicholas J. Robert, Donald W. Northfelt, Mohammad Jahanzeb, Shukmei Wong, Kimberly A. Hodge, Elisa Baldelli, Jessica Aldrich, David W. Craig, Lance A. Liotta, Sanja Avramovic, Janusz Wojtusiak, Farrokh Alemi, Julia D. Wulfkuhle, Angela Bellos, Rosa Gallagher, David Arguello, Amber Conrad, Ariane Kemkes, David M. Loesch, Linda Vocila, Bryant Dunetz, John D. Carpten, Emanuel F. Petricoin, Stephen P. Anthony
Summary: This study confirmed the importance of MoMP in guiding treatment selection for refractory MBC patients, increasing the frequency of identifiable actionable alterations and helping patients potentially achieve clinical benefit. Further research also confirmed the potential of MoMP in informing treatment decisions for MBC patients.
MOLECULAR ONCOLOGY
(2022)
Article
Oncology
Zhen Shi, Julia Wulfkuhle, Malgorzata Nowicka, Rosa Gallagher, Cristina Saura, Paolo G. Nuciforo, Isabel Calvo, Jay Andersen, Jose Luis Passos-Coelho, Miguel J. Gil-Gil, Begona Bermejo, Debra A. Pratt, Eva M. Ciruelos, Patricia Villagrasa, Matthew J. Wongchenko, Emanuel F. Petricoin, Mafalda Oliveira, Steven J. Isakoff
Summary: This study demonstrates the association between high baseline pAKT levels, mutations in PI3K/AKT pathway components, and the enriched benefit of ipatasertib in TNBC.
CLINICAL CANCER RESEARCH
(2022)
Review
Biochemical Research Methods
Lance A. Liotta, Philip A. Pappalardo, Alan Carpino, Amanda Haymond, Marissa Howard, Virginia Espina, Julie Wulfkuhle, Emanuel Petricoin
Summary: LCM is a powerful tool for isolating specific cells in tissue samples for molecular analysis. Recent advancements in LCM technology have enabled in-depth profiling of tissues at the single cell level, with the integration of proteomics, genomics, and transcriptomics data. The future of LCM is envisioned to involve digital and AI-guided imaging, automation, and telepathology to achieve comprehensive multi-omic profiling.
EXPERT REVIEW OF PROTEOMICS
(2021)
Article
Multidisciplinary Sciences
Amy S. Clark, Christina Yau, Denise M. Wolf, Emanuel F. Petricoin, Laura J. van't Veer, Douglas Yee, Stacy L. Moulder, Anne M. Wallace, A. Jo Chien, Claudine Isaacs, Judy C. Boughey, Kathy S. Albain, Kathleen Kemmer, Barbara B. Haley, Hyo S. Han, Andres Forero-Torres, Anthony Elias, Julie E. Lang, Erin D. Ellis, Rachel Yung, Debu Tripathy, Rita Nanda, Julia D. Wulfkuhle, Lamorna Brown-Swigart, Rosa Gallagher, Teresa Helsten, Erin Roesch, Cheryl A. Ewing, Michael Alvarado, Erin P. Crane, Meredith Buxton, Julia L. Clennell, Melissa Paoloni, Smita M. Asare, Amy Wilson, Gillian L. Hirst, Ruby Singhrao, Katherine Steeg, Adam Asare, Jeffrey B. Matthews, Scott Berry, Ashish Sanil, Michelle Melisko, Jane Perlmutter, Hope S. Rugo, Richard B. Schwab, W. Fraser Symmans, Nola M. Hylton, Donald A. Berry, Laura J. Esserman, Angela M. DeMichele
Summary: HER2-targeted therapy significantly improves outcomes in early breast cancer patients. Two HER2-targeted combinations have shown promising efficacy in early breast cancer patients at high risk of recurrence, potentially aiding in identifying patients who can safely reduce cytotoxic chemotherapy without compromising outcomes.
NATURE COMMUNICATIONS
(2021)
Article
Oncology
Elisa Baldelli, K. Alex Hodge, Guido Bellezza, Neil J. Shah, Guido Gambara, Angelo Sidoni, Martina Mandarano, Chamodya Ruhunusiri, Bryant Dunetz, Maysa Abu-Khalaf, Julia Wulfkuhle, Rosa Gallagher, Lance Liotta, Johann de Bono, Niven Mehra, Ruth Riisnaes, Antonella Ravaggi, Franco Odicino, Maria Isabella Sereni, Matthew Blackburn, Angela Zupa, Giuseppina Improta, Perry Demsko, Lucio Crino', Vienna Ludovini, Giuseppe Giaccone, Emanuel F. Petricoin, Mariaelena Pierobon
Summary: This study compared the performance of six anti-PD-L1 antibody clones on 666 tumor samples using RPPA technology. The study found heterogeneous concordance levels between the antibody clones and demonstrated the potential of RPPA to capture a broad dynamic range of PD-L1 expression in human specimens.
JOURNAL FOR IMMUNOTHERAPY OF CANCER
(2021)
Article
Oncology
Nichola Cruickshanks, Ying Zhang, Sarah Hine, Myron Gibert, Fang Yuan, Madison Oxford, Cassandra Grello, Mary Pahuski, Collin Dube, Fadila Guessous, Baomin Wang, Ciana Deveau, Karim Saoud, Isela Gallagher, Julia Wulfkuhle, David Schiff, See Phan, Emanuel Petricoin, Roger Abounader
CLINICAL CANCER RESEARCH
(2019)
Article
Oncology
Julia D. Wulfkuhle, Christina Yau, Denise M. Wolf, Daniel J. Vis, Rosa Gallagher, Lamorna Brown-Swigart, Gillian Hirst, Emile E. Voest, Angela DeMichele, Nola Hylton, Fraser Symmans, Douglas Yee, Laura Esserman, Donald Berry, Minetta Liu, John W. Park, Lodewyk F. A. Wessels, Laura van't Veer, Emanuel E. Petricoin
JCO PRECISION ONCOLOGY
(2018)
Article
Oncology
Ying Zhang, Nichola Cruickshanks, Fang Yuan, Baomin Wang, Mary Pahuski, Julia Wulfkuhle, Isela Gallagher, Alexander F. Koeppel, Sarah Hatef, Christopher Papanicolas, Jeongwu Lee, Eli E. Bar, David Schiff, Stephen D. Turner, Emanuel F. Petricoin, Lloyd S. Gray, Roger Abounader
Article
Hematology
Kallesh D. Jayappa, Craig A. Portell, Vicki L. Gordon, Brian J. Capaldo, Stefan Bekiranov, Mark J. Axelrod, L. Kyle Brett, Julia D. Wulfkuhle, Rosa I. Gallagher, Emanuel F. Petricoin, Timothy P. Bender, Michael E. Williams, Michael J. Weber
Article
Radiology, Nuclear Medicine & Medical Imaging
Adam Olshen, Denise Wolf, Ella F. Jones, David Newitt, Laura van't Veer, Christina Yau, Laura Esserman, Julia D. Wulfkuhle, Rosa I. Gallagher, Lisa Singer, Emanuel F. Petricoin, Nola Hylton, Catherine C. Park
JOURNAL OF MEDICAL IMAGING
(2018)