ArticleMolecular & cellular proteomics : MCP2013
Grading breast cancer tissues using molecular portraits.
Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 36 citations in OpenAlex.
- Altered Lipolytic Protein Expression in Tumor-Associated Adipose Tissue Correlates with Aggressive Breast Cancer Features.Cancers · 2026Article
- Gene expression profiling and protein-protein interaction analysis reveals the dynamic role of MCM7 in Alzheimer's disorder and breast cancer.3 Biotech · 2022Article
- A High Epigenetic Risk Score Shapes the Non-Inflamed Tumor Microenvironment in Breast Cancer.Frontiers in molecular biosciences · 2021Article
- Implementing liquid biopsies into clinical decision making for cancer immunotherapy.Oncotarget · 2017Review
- Minichromosome maintenance protein 2 and 3 promote osteosarcoma progression via DHX9 and predict poor patient prognosis.Oncotarget · 2017Article
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- Advancement of mass spectrometry-based proteomics technologies to explore triple negative breast cancer.Molecular bioSystems · 2016Review
- Proteomic analysis of breast tumors confirms the mRNA intrinsic molecular subtypes using different classifiers: a large-scale analysis of fresh frozen tissue samples.Breast cancer research : BCR · 2016Article
- Analysis of Reverse Phase Protein Array Data: From Experimental Design towards Targeted Biomarker Discovery.Microarrays (Basel, Switzerland) · 2015Review
- Potential clinical relevance of uPA and PAI-1 levels in node-negative, postmenopausal breast cancer patients bearing histological grade II tumors with ER/PR expression, during an early follow-up.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015Article
- Serial analysis of 38 proteins during the progression of human breast tumor in mice using an antibody colocalization microarray.Molecular & cellular proteomics : MCP · 2015Article
- An Introspective Update on the Influence of miRNAs in Breast Carcinoma and Neuroblastoma Chemoresistance.Genetics research international · 2014Review
- Acquisition of Invasiveness by Breast Adenocarcinoma Cells Engages Established Hallmarks and Novel Regulatory Mechanisms.Cancer genomics & proteomicsArticle
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor progression and prognosis in breast cancer patients are difficult to assess using current clinical and laboratory parameters, where a pathological grading is indicative of tumor aggressiveness. This grading is based on assessments of nuclear grade, tubule formation, and mitotic rate. We report here the first protein signatures associated with histological grades of breast cancer, determined using a novel affinity proteomics approach. We profiled 52 breast cancer tissue samples by combining nine antibodies and label-free LC-MS/MS, which generated detailed quantified proteomic maps representing 1,388 proteins. The results showed that we could define in-depth molecular portraits of histologically graded breast cancer tumors. Consequently, a 49-plex candidate tissue protein signature was defined that discriminated between histological grades 1, 2, and 3 of breast cancer tumors with high accuracy. Highly biologically relevant proteins were identified, and the differentially expressed proteins indicated further support for the current hypothesis regarding remodeling of the tumor microenvironment during tumor progression. The protein signature was corroborated using meta-analysis of transcriptional profiling data from an independent patient cohort. In addition, the potential for using the markers to estimate the likelihood of long-term metastasis-free survival was also indicated. Taken together, these molecular portraits could pave the way for improved classification and prognostication of breast cancer.
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