AIMC Topic: Neoplasms

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DeepExpDR: Drug Response Prediction through Molecular Topological Grouping and Substructure-Aware Expert.

Journal of chemical information and modeling
Cancer remains a major threat to human health. Tumor heterogeneity often leads to differences in tumor growth rate, invasion capacity, drug sensitivity, and prognosis, which complicates treatment strategies. Currently, drug responses are often verifi...

Exosomal biomarkers in cancer: Insights from Multi-OMIC approaches.

Clinica chimica acta; international journal of clinical chemistry
Extracellular vesicles, particularly exosomes, are emerging as powerful tools in cancer research due to their role in intercellular communication and their capacity to reflect the molecular composition of their originating cells. Multi-omic approache...

MorphoITH: a framework for deconvolving intra-tumor heterogeneity using tissue morphology.

Genome medicine
BACKGROUND: Tumor evolution, driven by the emergence of genetically and epigenetically distinct subclones, enables cancers to adapt to selective pressures and become more aggressive, posing a major challenge in oncology. Multi-regional sequencing has...

3D Bioprinting and Artificial Intelligence for Tumor Microenvironment Modeling: A Scoping Review of Models, Methods, and Integration Pathways.

Molecular pharmaceutics
Recent advances in cancer research emphasize the development of physiologically relevant models to better understand tumor behavior and therapeutic responses. The tumor microenvironment (TME) plays a pivotal role in tumor progression, metastasis, and...

Learning the cellular origins across cancers using single-cell chromatin landscapes.

Nature communications
Deciphering the pre-malignant cell of origin (COO) of different cancers is critical for understanding tumor development and improving diagnostic and therapeutic strategies in oncology. Prior work demonstrates that somatic mutations preferentially acc...

Cutting-edge nanobiosensors: Revolutionizing cancer diagnosis and enabling precision medicine.

Clinica chimica acta; international journal of clinical chemistry
Integrating nanotechnology and artificial intelligence (AI) revolutionizes cancer diagnostics, propelling precision medicine into a transformative era. This review examines state-of-the-art nanobiosensors capable of detecting critical biomarkers-circ...

Effect of immune-related intratumoral microbiota and host gene expression on cancer prognosis.

mSystems
UNLABELLED: The intratumoral microbiota has been identified as an indispensable part of the tumor microenvironment (TME). However, the relationship between the intratumoral microbiota and host gene expression, as well as its impact on prognosis and T...

Nuclear receptors in metabolic, inflammatory, and oncologic diseases: mechanisms, therapeutic advances, and future directions.

European journal of medical research
Nuclear receptors (NRs) are a superfamily of ligand-activated transcription factors that regulate gene expression in response to metabolic, hormonal, and environmental signals. These receptors play a critical role in metabolic homeostasis, inflammati...

Predicting mortality dynamics in cancer patients: A machine learning approach to pre-death events.

PloS one
Capturing the dynamic changes in patients' internal states as they approach death due to fatal diseases remains a major challenge in understanding individual pathologies and improving end-of-life care. However, existing methods primarily focus on spe...

INDIGO randomised controlled digital clinical trial: INvestigating DIgital outcomes and quality of life in cancer survivors - a study protocol.

BMJ open
INTRODUCTION: There are estimated to be 3.4 million patients in the UK living after a diagnosis of cancer. We know very little about their quality of life or healthcare usage. Patient-reported outcome measures (PROMs) are tools which help to translat...