Cancer-Associated Fibroblasts

Spatially-resolved analyses of muscle invasive bladder cancer microenvironment unveil a distinct fibroblast cluster associated with prognosis.

Frontiers in immunology 39759522

BACKGROUND: Muscle-invasive bladder cancer (MIBC) is a prevalent cancer characterized by molecular and clinical heterogeneity. Assessing the spatial heterogeneity of the MIBC microenvironment is crucial to understand its clinical significance.

Biomarkers, Tumor Cancer-Associated Fibroblasts Female Fibroblasts Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Male Neoplasm Invasiveness Prognosis Single-Cell Analysis Transcriptome Tumor Microenvironment Urinary Bladder Neoplasms

View on PubMed DOI

Cancer-associated fibroblasts are associated with poor prognosis in solid type of lung adenocarcinoma in a machine learning analysis.

Scientific reports 34408230

Cancer-associated fibroblasts (CAFs) participate in critical processes in the tumor microenvironment, such as extracellular matrix remodeling, reciprocal signaling interactions with cancer cells and crosstalk with infiltrating inflammatory cells. How...

Adenocarcinoma of Lung Cancer-Associated Fibroblasts Carcinoma, Non-Small-Cell Lung Disease-Free Survival Female Gene Expression Regulation, Neoplastic Humans Lung Neoplasms Machine Learning Male Survival Rate Tumor Microenvironment

View on PubMed DOI

Automatic detection of circulating tumor cells and cancer associated fibroblasts using deep learning.

Scientific reports 37029224

Circulating tumor cells (CTCs) and cancer-associated fibroblasts (CAFs) from whole blood are emerging as important biomarkers that potentially aid in cancer diagnosis and prognosis. The microfilter technology provides an efficient capture platform fo...

Biomarkers Cancer-Associated Fibroblasts Cell Line, Tumor Deep Learning Humans Neoplastic Cells, Circulating Prognosis

View on PubMed DOI

Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictive value in neuroblastoma via integrated multi-omics analysis and machine learning.

Frontiers in immunology 39703515

INTRODUCTION: Cancer-associated fibroblasts (CAFs) are a diverse group of cells that significantly contribute to reshaping the tumor microenvironment (TME), and no research has systematically explored the molecular landscapes of senescence related CA...

Biomarkers, Tumor Cancer-Associated Fibroblasts Cellular Senescence Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Janus Kinase 1 Machine Learning Multiomics Neuroblastoma Predictive Value of Tests Prognosis Single-Cell Analysis Transcriptome Tumor Microenvironment

View on PubMed DOI

Integrated multi-omics analysis and machine learning identify hub genes and potential mechanisms of resistance to immunotherapy in gastric cancer.

Aging 38656888

BACKGROUND: Patients with gastric cancer respond poorly to immunotherapy. There are still unknowns about the biomarkers associated with immunotherapy sensitivity and their underlying molecular mechanisms.

Biomarkers, Tumor Cancer-Associated Fibroblasts Databases, Genetic Drug Resistance, Neoplasm Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Immunotherapy Machine Learning Multiomics Prognosis Stomach Neoplasms

View on PubMed DOI

Identification of BGN positive fibroblasts as a driving factor for colorectal cancer and development of its related prognostic model combined with machine learning.

BMC cancer 38654221

BACKGROUND: Numerous studies have indicated that cancer-associated fibroblasts (CAFs) play a crucial role in the progression of colorectal cancer (CRC). However, there are still many unknowns regarding the exact role of CAF subtypes in CRC.

Biglycan Biomarkers, Tumor Cancer-Associated Fibroblasts Cell Movement Cell Proliferation Colorectal Neoplasms Female Gene Expression Regulation, Neoplastic Humans Machine Learning Male Prognosis Tumor Microenvironment

View on PubMed DOI

A novel CAF-cancer cell crosstalk-related gene prognostic index based on machine learning: prognostic significance and prediction of therapeutic response in head and neck squamous cell carcinoma.

Journal of translational medicine 38982511

BACKGROUND: Cancer-associated fibroblast (CAF)-cancer cell crosstalk (CCCT) plays an important role in tumor microenvironment shaping and immunotherapy response. Current prognostic indexes are insufficient to accurately assess immunotherapy response ...

Cancer-Associated Fibroblasts Cell Communication Cell Line, Tumor Female Gene Expression Regulation, Neoplastic Head and Neck Neoplasms Humans Immune Checkpoint Inhibitors Machine Learning Male Prognosis Squamous Cell Carcinoma of Head and Neck Treatment Outcome Tumor Microenvironment

View on PubMed DOI

Single-cell and bulk RNA-sequence identiﬁed ﬁbroblasts signature and CD8 + T-cell - ﬁbroblast subtype predicting prognosis and immune therapeutic response of bladder cancer, based on machine learning: bioinformatics multi-omics study.

International journal of surgery (London, England) 38759695

BACKGROUND: Cancer-associated fibroblasts (CAFs) are found in primary and advanced tumours. They are primarily involved in tumour progression through complex mechanisms with other types of cells in the tumour microenvironment. However, essential fibr...

Cancer-Associated Fibroblasts CD8-Positive T-Lymphocytes Computational Biology Female Humans Immunotherapy Machine Learning Male Multiomics Prognosis Sequence Analysis, RNA Single-Cell Analysis Transcriptome Tumor Microenvironment Urinary Bladder Neoplasms

View on PubMed DOI

Bulk integrated single-cell-spatial transcriptomics reveals the impact of preoperative chemotherapy on cancer-associated fibroblasts and tumor cells in colorectal cancer, and construction of related predictive models using machine learning.

Biochimica et biophysica acta. Molecular basis of disease 39374811

BACKGROUND: Preoperative chemotherapy (PC) is an important component of Colorectal cancer (CRC) treatment, but its effects on the biological functions of fibroblasts and epithelial cells in CRC are unclear.

Cancer-Associated Fibroblasts Cell Line, Tumor Colorectal Neoplasms Epithelial Cells Female Gene Expression Regulation, Neoplastic Humans Machine Learning Male Prognosis Receptor, Notch3 Single-Cell Analysis Transcriptome

View on PubMed DOI

A novel cancer-associated fibroblast-related gene signature for predicting diffuse large B cell lymphoma prognosis using weighted gene co-expression network analysis and machine learning.

The Journal of international medical research 40279206

ObjectiveOur objective was to investigate a novel cancer-associated fibroblast-related gene signature for predicting clinical outcomes in patients with diffuse large B cell lymphoma.MethodsThe cancer-associated fibroblast-related module genes were id...

Biomarkers, Tumor Cancer-Associated Fibroblasts Female Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans Kaplan-Meier Estimate Lymphoma, Large B-Cell, Diffuse Machine Learning Male Middle Aged Nomograms Prognosis Retrospective Studies ROC Curve Transcriptome

View on PubMed DOI

AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Spatially-resolved analyses of muscle invasive bladder cancer microenvironment unveil a distinct fibroblast cluster associated with prognosis.

Cancer-associated fibroblasts are associated with poor prognosis in solid type of lung adenocarcinoma in a machine learning analysis.

Automatic detection of circulating tumor cells and cancer associated fibroblasts using deep learning.

Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictive value in neuroblastoma via integrated multi-omics analysis and machine learning.

Integrated multi-omics analysis and machine learning identify hub genes and potential mechanisms of resistance to immunotherapy in gastric cancer.

Identification of BGN positive fibroblasts as a driving factor for colorectal cancer and development of its related prognostic model combined with machine learning.

A novel CAF-cancer cell crosstalk-related gene prognostic index based on machine learning: prognostic significance and prediction of therapeutic response in head and neck squamous cell carcinoma.

Single-cell and bulk RNA-sequence identiﬁed ﬁbroblasts signature and CD8 + T-cell - ﬁbroblast subtype predicting prognosis and immune therapeutic response of bladder cancer, based on machine learning: bioinformatics multi-omics study.

Bulk integrated single-cell-spatial transcriptomics reveals the impact of preoperative chemotherapy on cancer-associated fibroblasts and tumor cells in colorectal cancer, and construction of related predictive models using machine learning.

A novel cancer-associated fibroblast-related gene signature for predicting diffuse large B cell lymphoma prognosis using weighted gene co-expression network analysis and machine learning.

Popular Topics

Recent Journals