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Identification of a Putative Protein Profile Associated with Tamoxifen Therapy Resistance in Breast Cancer

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TLDR
Extracellular matrix metalloproteinase inducer levels were higher in therapy-resistant tumors and significantly associated with an earlier tumor progression following first line tamoxifen treatment (hazard ratio, 1.87) and ENPP1, EIF3E, and GNB4 were significant associated with progression-free survival upon tamoxIFen treatment for recurrent disease.
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This article is published in Molecular & Cellular Proteomics.The article was published on 2009-06-01 and is currently open access. It has received 112 citations till now. The article focuses on the topics: Tamoxifen & Breast cancer.

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Journal ArticleDOI

Translational control in cancer.

TL;DR: Clinical efforts are underway to target specific components of the translation apparatus or unique mRNA translation elements for cancer therapeutics to define a new understanding of the role of mRNA translation and protein synthesis in human cancer.
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Detection of gene pathways with predictive power for breast cancer prognosis

TL;DR: This work analyzes four breast cancer prognosis studies and identifies 97 pathways with significant predictive power for prognosis, providing a useful alternative to existing pathway analysis methods.
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Hydrolysis of 2′3′-cGAMP by ENPP1 and design of nonhydrolyzable analogs

TL;DR: A hydrolysis-resistant bis-phosphothioate analog of 2′3″-cGAMP (2′3′-cGsAsMP) with similar affinity for human STING in vitro and 10 times more potent at inducing IFN-β secretion from human THP1 monocytes is synthesized.
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Quantitative proteomic analysis of single pancreatic islets

TL;DR: A high sensitivity chromatographic system that measures nanogram protein mixtures for 8 h with very high resolution and provides an inherent technical replicate for direct proteomic analysis of functionally distinct cellular structures opens up perspectives in physiology and pathology.
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Plasma Membrane Proteomics and Its Application in Clinical Cancer Biomarker Discovery

TL;DR: Identification of potentially useful proteomics-based biomarkers must be validated in larger, well defined retrospective and prospective clinical studies, and these combined efforts should result in identification of biomarkers that will greatly improve early detection, prognosis, and prediction of treatment response.
References
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Journal ArticleDOI

Molecular portraits of human breast tumours

TL;DR: Variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals were characterized using complementary DNA microarrays representing 8,102 human genes, providing a distinctive molecular portrait of each tumour.
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Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

TL;DR: Survival analyses on a subcohort of patients with locally advanced breast cancer uniformly treated in a prospective study showed significantly different outcomes for the patients belonging to the various groups, including a poor prognosis for the basal-like subtype and a significant difference in outcome for the two estrogen receptor-positive groups.
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Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials

O. Abe, +412 more
- 14 May 2005 - 
TL;DR: The 10-year and 15-year effects of various systemic adjuvant therapies on breast cancer recurrence and survival are reported and it is found that the cumulative reduction in mortality is more than twice as big at 15 years as at 5 years after diagnosis.
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Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.

TL;DR: The results demonstrate that this method for histological grading provides important prognostic information and, if the grading protocol is followed consistently, reproducible results can be obtained.
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Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer.

TL;DR: The ability to identify patients who have a favourable prognosis could, after independent confirmation, allow clinicians to avoid adjuvant systemic therapy or to choose less aggressive therapeutic options.
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