AIMC Topic: Biomarkers, Tumor

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Computational modeling and experimental validation of the interaction between tumor biomarker mesothelin and an engineered targeting protein with therapeutic activity.

Protein science : a publication of the Protein Society
Mesothelin (MSLN) is a cell surface glycoprotein overexpressed in many solid tumors, which is known to interact with cancer antigen CA125/MUC16, promoting cancer cell adhesion and metastasis. MSLN has been used as a target of multiple antibody-based ...

GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling.

Cancer research communications
UNLABELLED: A subset of cancers present with unclear or potentially incorrect primary histopathologic diagnoses, including cancers of unknown primary (CUP). We aimed to develop and validate an artificial intelligence (AI) tool, Genomic Probability Sc...

Leveraging machine learning and single-cell RNA sequencing strategies to develop a risk prognosis scoring based on liquid-liquid phase separation feature genes in pediatric hepatoblastoma.

Computers in biology and medicine
BACKGROUND: Considerable evidence highlights the intricate association between liquid-liquid phase separation (LLPS) and tumorigenesis, progression, and therapy resistance. However, there has been limited exploration of the role of LLPS in hepatoblas...

An integrated approach for key gene selection and cancer phenotype classification: Improving diagnosis and prediction.

Computers in biology and medicine
The identification of key features and reliable phenotype classification remains pivotal in cancer research, with direct implications for early diagnosis, prognosis, treatment optimization, and cost reduction in healthcare. This study introduces a hy...

A comprehensive targeted panel of 295 genes: Unveiling key disease initiating and transformative biomarkers in multiple myeloma.

Computers in biology and medicine
BACKGROUND: Multiple myeloma (MM) is a hematological malignancy that progresses from a benign precursor stage known as Monoclonal Gammopathy of Undetermined Significance (MGUS). Distinguishing MM from MGUS at the molecular level by identifying key bi...

Genetic features for drug responses in cancer - Investigating an ensemble-feature-selection approach.

Computers in biology and medicine
Predicting drug responses using genetic and transcriptomic features is crucial for enhancing personalized medicine. In this study, we implemented an ensemble of machine learning algorithms to analyze the correlation between genetic and transcriptomic...

Current concepts in the pathogenesis and clinical management of lymphangioleiomyomatosis.

Current opinion in pulmonary medicine
PURPOSE OF REVIEW: Lymphangioleiomyomatosis (LAM) is a systemic, low-grade, metastasizing neoplasm that predominantly affects women. This review demonstrates recent progression in this rare disease, from improved understanding of pathogenesis, to nov...

Cancer in a drop: Advances in liquid biopsy in 2024.

Critical reviews in oncology/hematology
Over the past decade, liquid biopsy (LB) has emerged as a key tool in oncology. Its utility in non-invasive sampling and real-time monitoring has made it a cornerstone in precision medicine. Since 2020, publications on LB in solid tumors have doubled...

Role of machine learning in molecular pathology for breast cancer: A review on gene expression profiling and RNA sequencing application.

Critical reviews in oncology/hematology
INTRODUCTION: Breast cancer is the most prevalent cancer among women, with growing incidence and mortality rates. Regardless of remarkable progress in cancer research, breast cancer remains a major concern due to its complex nature. These factors und...