Enhancing clinical potential of liquid biopsy through a multi-omic approach: A systematic review
G Di Sario, V Rossella, ES Famulari, A Maurizio… - Frontiers in …, 2023 - frontiersin.org
In the last years, liquid biopsy gained increasing clinical relevance for detecting and
monitoring several cancer types, being minimally invasive, highly informative and replicable …
monitoring several cancer types, being minimally invasive, highly informative and replicable …
Unlocking the potential of circulating miRNAs in the breast cancer neoadjuvant setting: a systematic review and meta-analysis
P Tiberio, M Gaudio, S Belloni, S Pindilli, C Benvenuti… - Cancers, 2023 - mdpi.com
Simple Summary In recent decades, neoadjuvant chemotherapy has proven to be a viable
therapeutic option, particularly in cases of high-risk early or locally advanced breast cancer …
therapeutic option, particularly in cases of high-risk early or locally advanced breast cancer …
Reusability report: Evaluating reproducibility and reusability of a fine-tuned model to predict drug response in cancer patient samples
Abstract Machine learning and artificial intelligence methods are increasingly being used in
personalized medicine, including precision oncology. Ma et al.(Nature Cancer 2021) have …
personalized medicine, including precision oncology. Ma et al.(Nature Cancer 2021) have …
Exploring the potential role of circulating microRNAs as biomarkers for predicting clinical response to neoadjuvant therapy in breast cancer
LM Ruiz-Manriquez, C Villarreal-Garza… - International Journal of …, 2023 - mdpi.com
Breast cancer (BC) is a leading cause of cancer-related deaths among women worldwide.
Neoadjuvant therapy (NAT) is increasingly being used to reduce tumor burden prior to …
Neoadjuvant therapy (NAT) is increasingly being used to reduce tumor burden prior to …
Baseline expression of exosomal miR-92a-3p and miR-221-3p could predict the response to first-line chemotherapy and survival in metastatic colorectal cancer
The status of predictive biomarkers in metastatic colorectal cancer is currently
underdeveloped. Our study aimed to investigate the predictive value of six circulating …
underdeveloped. Our study aimed to investigate the predictive value of six circulating …
Potential role of circulating miRNAs for breast cancer management in the neoadjuvant setting: A road to pave
Simple Summary In breast cancer management, neoadjuvant chemotherapy is well
established as therapeutic choice for selected high-risk early or locally advanced breast …
established as therapeutic choice for selected high-risk early or locally advanced breast …
Exploring the cell-free total RNA transcriptome in diffuse large B-cell lymphoma and primary mediastinal B-cell lymphoma patients as biomarker source in blood …
P Decruyenaere, E Giuili, K Verniers, J Anckaert… - Frontiers in …, 2023 - frontiersin.org
Introduction Diffuse large B-cell lymphoma (DLBCL) and primary mediastinal B-cell
lymphoma (PMBCL) are aggressive histological subtypes of non-Hodgkin's lymphoma …
lymphoma (PMBCL) are aggressive histological subtypes of non-Hodgkin's lymphoma …
[HTML][HTML] The emerging role of extracellular vesicles and particles in prostate cancer diagnosis, and risk stratification
Current approaches for prostate cancer (PCa) diagnosis and risk stratification require
greater accuracy. Extracellular vesicles and particles (EVPs) containing diverse cargos from …
greater accuracy. Extracellular vesicles and particles (EVPs) containing diverse cargos from …
[HTML][HTML] Characterizing the Cell-Free Transcriptome in a Humanized Diffuse Large B-Cell Lymphoma Patient-Derived Tumor Xenograft Model for RNA-Based Liquid …
The potential of RNA-based liquid biopsy is increasingly being recognized in diffuse large B-
cell lymphoma (DLBCL), the most common subtype of non-Hodgkin's lymphoma. This study …
cell lymphoma (DLBCL), the most common subtype of non-Hodgkin's lymphoma. This study …
Rank-based sequential feature selection for high-dimensional accelerated failure time models with main and interaction effects
K Yu, S Luo - Computational Statistics & Data Analysis, 2024 - Elsevier
High-dimensional accelerated failure time (AFT) models are commonly used regression
models in survival analysis. Feature selection problem in high-dimensional AFT models is …
models in survival analysis. Feature selection problem in high-dimensional AFT models is …