Publications by authors named "Ashley M Cimino-Mathews"
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited treatment options, which warrants the identification of novel therapeutic targets. Deciphering nuances in the tumor microenvironment (TME) may unveil insightful links between antitumor immunity and clinical outcomes; however, such connections remain underexplored. Here, we employed a data set derived from imaging mass cytometry of 71 TNBC patient specimens at single-cell resolution and performed in-depth quantifications with a suite of multiscale computational algorithms.
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- Triple-negative breast cancer (TNBC) is known for its aggressiveness and lack of effective treatments, leading researchers to search for new therapeutic targets by studying the tumor microenvironment (TME).* -
- By analyzing imaging mass cytometry data from 58 TNBC patient samples, distinct patterns in cell distribution were found, revealing important links between tumor characteristics, immune factors, and patient survival.* -
- Using machine learning on engineered spatial data, researchers achieved a predictive accuracy of 0.71 for patient treatment responses based on TME features, highlighting the potential of using TME architecture as a basis for new treatment strategies in TNBC.*
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- Aberrant glycosylation is significant in cancer, but its role in breast cancer metastasis was under-researched; this study aimed to fill that gap by examining N-glycosylation in metastatic breast cancer (BC) patients.
- The research involved analyzing tissue samples from 17 metastatic BC patients using mass spectrometry imaging (MSI) to assess changes in N-glycosylation patterns across different metastatic sites.
- Findings revealed a generalized increase in N-glycan abundance during metastasis, with specific alterations in glycan types; this suggests potential diagnostic and therapeutic applications targeting glycosylation in metastatic breast cancer.
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- The study examined factors that influence treatment responses and survival outcomes in patients with inflammatory breast cancer (IBC) and locally advanced breast cancer (LABC).
- It involved analyzing tumor-infiltrating lymphocytes (TILs), CD20 B-cell frequencies, and PD-L1 expression levels in a cohort of 383 patients to assess their correlation with pathologic complete response (pCR) and survival rates.
- Results indicated that while several immune factors were associated with better outcomes, CD20PD-L1TILs specifically improved disease-free survival in IBC patients, suggesting potential for biomarker-guided therapy approaches.
Overwhelming evidence has shown the significant role of the tumor microenvironment (TME) in governing the triple-negative breast cancer (TNBC) progression. Digital pathology can provide key information about the spatial heterogeneity within the TME using image analysis and spatial statistics. These analyses have been applied to CD8+ T cells, but quantitative analyses of other important markers and their correlations are limited.
View Article and Find Full Text PDFPlasmacytoid urothelial carcinoma (UC) is a rare variant of UC that can histologically mimic metastatic cancer involving the urinary bladder. A total of 45 cases of plasmacytoid UC were collected and reviewed histologically. The following immunohistochemical markers were performed: CDX2; polyclonal carcinoembryonic antigen (p-CEA); gross cystic disease fluid protein 15 (GCDFP-15); mammaglobin; estrogen receptor (ER); progesterone receptor (PR); GATA 3 and uroplakin II.
View Article and Find Full Text PDFThis article presents an overview of the diagnostic categories of benign and malignant nerve sheath tumors, including neuroma, neurofibroma, nerve sheath myxoma, perineurioma, schwannoma, and malignant peripheral nerve sheath tumor. The discussion emphasizes histologic patterns; ancillary studies, such as immunohistochemistry; and differential diagnoses. The information is of value to practicing pathologists in both community and academic settings.
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