This study was designed to quantify and identify differences in protein levels between tumor and adjacent normal breast tissue from the same breast in 18 women with stage I/II ER positive/Her2/neu negative invasive breast cancer. Eighteen separate difference gel electrophoresis (DIGE) gels were run (1 gel per patient). Relative quantification was based on DIGE analysis. After excision and tryptic digestion, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and peptide mass mapping were used to identify protein spots. Two hundred and forty-three spots were differentially abundant between normal and cancer tissues. Fifty spots were identified: 41 were over abundant and nine were less abundant in cancers than in normal breast tissue. Western blotting provided independent confirmation for three of the most biologically and statistically interesting proteins. All 18 gels were replicated by another technician and 32% of the differentially abundant proteins were verified by the duplicate analysis. Follow-up studies are now examining these proteins as biomarkers in blood.
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http://dx.doi.org/10.1007/s10549-009-0721-6 | DOI Listing |
Sci Rep
January 2025
Department of Genetics, The University of Alabama at Birmingham, Birmingham, AL, USA.
Nowadays, chemotherapy and immunotherapy remain the major treatment strategies for Triple-Negative Breast Cancer (TNBC). Identifying biomarkers to pre-select and subclassify TNBC patients with distinct chemotherapy responses is essential. In the current study, we performed an unbiased Reverse Phase Protein Array (RPPA) on TNBC cells treated with chemotherapy compounds and found a leading significant increase of phosphor-AURKA/B/C, AURKA, AURKB, and PLK1, which fall into the mitotic kinase group.
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January 2025
College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the currently existing methods suffer from such issues as overfitting, lack of adaptability, and dependence on massive annotated datasets, the present work introduces a hybrid approach to enhance breast cancer classification accuracy.
View Article and Find Full Text PDFMod Pathol
January 2025
Interdisciplinary Oncology, University of British Columbia, Vancouver, BC, Canada; MAPcore, University of British Columbia, Vancouver, BC, Canada. Electronic address:
Assessment of the tumor immune microenvironment can be used as a prognostic tool for improved survival and as a predictive biomarker for treatment benefit, particularly from immune modulating treatments including cytotoxic chemotherapy. Using Digital Spatial Profiling (DSP), we studied the tumor immune microenvironment of 522 breast cancer cases by quantifying 35 immune biomarkers on tissue microarrays from the MA.5 phase III clinical trial.
View Article and Find Full Text PDFMatrix Biol
January 2025
Department of Pharmacology & Immunology, Proteomics Center, Medical University of South Carolina, Charleston, SC. Electronic address:
Collagen stroma interactions within the extracellular microenvironment of breast tissue play a significant role in breast cancer, including risk, progression, and outcomes. Hydroxylation of proline (HYP) is a common post-translational modification directly linked to breast cancer survival and progression. Changes in HYP status lead to alterations in epithelial cell signaling, extracellular matrix remodeling, and immune cell recruitment.
View Article and Find Full Text PDFTalanta
January 2025
Guangdong Provincial Key Laboratory of New Drug Screening, Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment, NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong-Hong Kong-Macao Joint Laboratory for New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, China. Electronic address:
There is a critical need for inclusive diagnostic platforms to enhance the accuracy of early breast cancer detection. Dysregulated microRNA-1246 (miR-1246), closely linked to the disease progression and recurrence, has emerged as a promising diagnostic and prognostic biomarker for BC. However, achieving simple, rapid, and ultrasensitive quantification of serum miRNAs remains significant challenge.
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