AIMC Topic: Immunotherapy

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Multimodal radiopathomics signature for prediction of response to immunotherapy-based combination therapy in gastric cancer using interpretable machine learning.

Cancer letters
Immunotherapy has become a cornerstone in the treatment of advanced gastric cancer (GC). However, identifying reliable predictive biomarkers remains a considerable challenge. This study demonstrates the potential of integrating multimodal baseline da...

Integrative analysis of multi-omics data and gut microbiota composition reveals prognostic subtypes and predicts immunotherapy response in colorectal cancer using machine learning.

Scientific reports
Colorectal cancer (CRC) exhibits substantial heterogeneity in molecular subtypes and clinical outcomes. We performed an integrative analysis of multi-omics data from 274 CRC patients to investigate the impact of gut microbiota composition on prognosi...

USP5-Mediated PD-L1 deubiquitination regulates immunotherapy efficacy in melanoma.

Journal of translational medicine
BACKGROUND: The role of post-translational modifications(PTMs) in PD-L1-mediated immune resistance and melanoma progression remains poorly understood.

Single-cell spatial transcriptomics reveals immunotherapy-driven bone marrow niche remodeling in AML.

Science advances
Given the graft-versus-leukemia effect observed with allogeneic hematopoietic stem cell transplantation in refractory or relapsed acute myeloid leukemia (AML), immunotherapies have been explored in nontransplant settings. We applied a multiomic appro...

Cancer Research in the 21st Century: Recent Advances and Future Perspectives.

Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology
INTRODUCTION: Cancer remains a major global health concern, accounting for nearly 10 million deaths annually. Despite its complexity and heterogeneity, significant advancements in cancer research over the past two decades have transformed the landsca...

Comprehensive machine learning analysis of PANoptosis signatures in multiple myeloma identifies prognostic and immunotherapy biomarkers.

Scientific reports
PANoptosis is closely associated with tumorigenesis and therapeutic response, yet its role in multiple myeloma (MM) remains unclear. This study analyzed bulk transcriptomic and clinical data from the TCGA and GEO databases to identify seven PANoptosi...

Recent advances in nanopharmaceutical strategies for cancer treatment.

Biochemical and biophysical research communications
Next-generation cancer nanomedicines are revolutionizing therapeutic precision through multifunctional, adaptive, and tumor-specific strategies. This review discusses emerging innovations in cancer nanomedicine, including stimuli-responsive nanomedic...

SimTA++: Simple attention neural network for clinical asynchronous time series.

Neural networks : the official journal of the International Neural Network Society
The task of modeling asynchronous time series data in clinical practice is a formidable challenge, made even more difficult by the multi-modal and irregular nature of real-world medical time series data. Despite advances in deep learning for sequenti...

Cancer vaccines and the future of immunotherapy.

Lancet (London, England)
Vaccines have had a major impact on the control of infectious disease, most recently by helping to combat the COVID-19 pandemic. Prophylactic cancer vaccines have prevented several malignancies by protecting against cancer-causing pathogens. By contr...

Self-Driving and Detachable Lab-Microrobots Tailor Drug Delivery for Closed-Loop Stimulation of the Antitumor Immune Cycle.

ACS nano
Hypoxia arises in most solid tumors with insufficient blood flow, which hinders the delivery and efficacy of therapeutic agents to tumors. In this work, utilizing anaerobic bacteria capable of seeking out hypoxic areas for flourishing, we constructed...