AIMC Topic: Stromal Cells

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Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients.

Clinical cancer research : an official journal of the American Association for Cancer Research Mar 5, 2020
PURPOSE: Between 30%-40% of patients with prostate cancer experience disease recurrence following radical prostatectomy. Existing clinical models for recurrence risk prediction do not account for population-based variation in the tumor phenotype, des...
Machine Learning Prognosis Survival Rate Biomarkers, Tumor Male Middle Aged Prostatic Neoplasms Humans Prostate-Specific Antigen Neoplasm Recurrence, Local Stromal Cells Black or African American Prostatectomy Image Processing, Computer-Assisted Nomograms Risk Assessment Predictive Value of Tests Disease Progression ROC Curve
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Autologous fat graft assisted by stromal vascular fraction improves facial skin quality: A randomized controlled trial.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS Nov 29, 2019
BACKGROUND: Cell-assisted lipotransfer (CAL) promotes the survival of fat grafts with high vascular density and improves skin quality by increasing collagen content. However, no study has quantified the changes on the skin surface, and rigorous metho...
Transplantation, Autologous Graft Survival Young Adult Humans Adipose Tissue Dermatologic Surgical Procedures Female Adult Plastic Surgery Procedures Middle Aged Face Stromal Cells
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Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer.

Cellular oncology (Dordrecht, Netherlands) Mar 1, 2019
PURPOSE: Tumor-stroma ratio (TSR) serves as an independent prognostic factor in colorectal cancer and other solid malignancies. The recent introduction of digital pathology in routine tissue diagnostics holds opportunities for automated TSR analysis....
Prognosis Female Aged Humans Deep Learning Kaplan-Meier Estimate Male Neoplasm Staging Pathology, Clinical Stromal Cells Middle Aged Rectal Neoplasms Multivariate Analysis Diagnosis, Computer-Assisted
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Leveraging deep learning to discover interpretable cellular spatial biomarkers for prognostic predictions based on hepatocellular carcinoma histology.

The journal of pathology. Clinical research Jul 1, 2025
The spatial structure of various cell types in the tumour microenvironment (TME) can provide valuable insights into disease progression. However, identifying the spatial organization of diverse cell types that significantly correlates with patient pr...
Female Tumor Microenvironment Biomarkers, Tumor Humans Liver Neoplasms Prognosis Male Carcinoma, Hepatocellular Middle Aged Stromal Cells Deep Learning
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Construction of a stromal cell-related prognostic signature based on a 101-combination machine learning framework for predicting prognosis and immunotherapy response in triple-negative breast cancer.

Frontiers in immunology Jan 1, 2025
BACKGROUND: Triple-negative breast cancer (TNBC) is a highly aggressive subtype with limited therapeutic targets and poor immunotherapy outcomes. The tumor microenvironment (TME) plays a key role in cancer progression. Advances in single-cell transcr...
Humans Stromal Cells Gene Expression Profiling Female Machine Learning Immunotherapy Transcriptome Tumor Microenvironment Prognosis Single-Cell Analysis Gene Expression Regulation, Neoplastic Biomarkers, Tumor Triple Negative Breast Neoplasms
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Machine learning analyses of highly-multiplexed immunofluorescence identifies distinct tumor and stromal cell populations in primary pancreatic tumors.

Cancer biomarkers : section A of Disease markers Jan 1, 2022
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge for patients and clinicians.
Biomarkers, Tumor Male Middle Aged Aged, 80 and over Tumor Microenvironment Stromal Cells Fluorescent Antibody Technique Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Image Interpretation, Computer-Assisted Humans Machine Learning Female Aged
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Application of a deep learning-based image analysis and live-cell imaging system for quantifying adipogenic differentiation kinetics of adipose-derived stem/stromal cells.

Adipocyte Dec 1, 2021
Quantitative methods for assessing differentiative potency of adipose-derived stem/stromal cells may lead to improved clinical application of this multipotent stem cell, by advancing our understanding of specific processes such as adipogenic differen...
Kinetics Stromal Cells Adipose Tissue Adipogenesis Cell Differentiation Cells, Cultured Deep Learning
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