AIMC Topic: Molecular Typing

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A Molecular Typing Method for Invasive Breast Cancer by Serum Raman Spectroscopy.

Clinical breast cancer Feb 16, 2024
BACKGROUND: The incidence of breast cancer ranks highest among cancers and is exceedingly heterogeneous. Immunohistochemical staining is commonly used clinically to identify the molecular subtype for subsequent treatment and prognosis.
Humans Prognosis Female Aged Adult Breast Neoplasms Biomarkers, Tumor Middle Aged Spectrum Analysis, Raman Support Vector Machine Neoplasm Invasiveness Receptor, ErbB-2 Molecular Typing
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A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival.

Breast cancer research : BCR Jan 28, 2020
BACKGROUND: Breast cancer intrinsic molecular subtype (IMS) as classified by the expression-based PAM50 assay is considered a strong prognostic feature, even when controlled for by standard clinicopathological features such as age, grade, and nodal s...
Humans Female Survival Rate Breast Neoplasms Biomarkers, Tumor Deep Learning Image Processing, Computer-Assisted Gene Expression Regulation, Neoplastic Neoplasm Grading Receptor, ErbB-2 Molecular Typing
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Identification and transfer of spatial transcriptomics signatures for cancer diagnosis.

Breast cancer research : BCR Jan 13, 2020
BACKGROUND: Distinguishing ductal carcinoma in situ (DCIS) from invasive ductal carcinoma (IDC) regions in clinical biopsies constitutes a diagnostic challenge. Spatial transcriptomics (ST) is an in situ capturing method, which allows quantification ...
Humans Machine Learning Female Breast Neoplasms Biomarkers, Tumor Transcriptome ROC Curve Carcinoma, Intraductal, Noninfiltrating Spatial Analysis Carcinoma, Ductal, Breast Molecular Typing
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