AIMC Topic: Tumor Microenvironment

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MX1 is a novel crucial prognostic and therapeutic target inducing chemoresistance in right-sided colon cancer: insights from machine learning-based multi-omics analysis.

Human genomics
BACKGROUND: Recent studies have increasingly emphasized the poorer survival outcomes and reduced treatment responses associated with right-sided colon cancer (RCC). However, the underlying molecular mechanisms remain poorly understood. This study aim...

Ligand-receptor interaction profiling as a predictive biomarker for anti-PD-1 therapy response in melanoma.

Clinical and experimental medicine
Cell-to-cell communication through ligand-receptor (LR) interactions can fundamentally shape the tumor microenvironment and immune responses, but the full spectrum of these interactions in anti-PD-1 therapy remains unexplored. We developed a predicti...

Ultrasound-responsive nanocarriers for cancer therapy: Physiochemical features-directed design.

Journal of controlled release : official journal of the Controlled Release Society
The design of ultrasound (US)-responsive nanocarriers (URNs) guided by their physicochemical characteristics represents a pivotal strategy for advancing cancer therapy. By exploiting the intrinsic physicochemical properties of diverse nanocarriers, i...

Single-cell multi-omics uncovers CPS1 as a breast cancer immune evasion therapeutic target.

Scientific reports
Despite significant advances in early detection and therapeutic interventions, breast cancer persists as the most frequently diagnosed malignancy and the leading cause of cancer-related deaths among women globally. Although multiple prognostic signat...

Cancer Metastasis: Therapeutic Challenges and Opportunities.

Medical oncology (Northwood, London, England)
Metastatic cancer is the leading cause of cancer-related mortality, responsible for nearly 90% of deaths worldwide. Its progression depends on a multistep cascade involving invasion, vascular dissemination, survival in circulation and colonization of...

Pathology image-based predictive model for individual survival time of early-stage lung adenocarcinoma patients.

Scientific reports
The tumor microenvironment (TME) is associated with tumor prognosis, immunotherapy response, and prognosis in patients. Here, we hypothesized that the entire TME in pathology image is associated with the survival time prediction. To address this hypo...

Pan-cancer single-cell and spatial transcriptomics implicate cancer-associated fibroblasts in neutrophil immunosuppressive phenotypic transitions and immunotherapy resistance.

Functional & integrative genomics
Neutrophils are the most abundant granulocyte population and have important functions such as defense against pathogens. However, they show significant Heterogeneity and play more complex roles in tumors. The theory of two-tiered differentiation of n...

Overcoming the tumor microenvironment in pancreatic cancer barrier-specific nanoparticle drug delivery.

Nanoscale
Pancreatic cancer is one of the most lethal malignancies, largely due to the formidable pathophysiological barriers presented by its tumor microenvironment (TME). These include metabolic stress, such as acidosis and elevated reactive oxygen species; ...

Single-cell and spatial transcriptomics reveal post-translational modifications in osteosarcoma progression and tumor microenvironment.

PloS one
Emerging evidence suggests that post-translational modifications (PTMs) contribute to osteosarcoma pathogenesis, yet their exact molecular roles require further elucidation. Using the AddModuleScore method, we classified tumor cells on the basis of P...

Spatial proteomics for investigating solid tumor resistance mechanisms.

Cancer metastasis reviews
Spatial proteomics technologies have been pivotal in profiling tumor immune microenvironments at single-cell resolution, advancing our understanding of cancer biology, identifying key cell populations in solid tumors, and predicting treatment respons...