| Title |
Emerging prognostic markers related to mesenchymal characteristics of poorly differentiated breast cancers
|
|---|---|
| Published in |
Tumor Biology, November 2015
|
| DOI | 10.1007/s13277-015-4361-7 |
| Pubmed ID | |
| Authors |
Manuel Scimeca, Chiara Antonacci, Daniele Colombo, Rita Bonfiglio, Oreste Claudio Buonomo, Elena Bonanno |
| Abstract |
Despite the screening program, breast cancer is the commonest cause of cancer death in women in the industrialized world. In this study, we investigate the correlation among poorly differentiated carcinoma, epithelial to mesenchymal transition (EMT) phenomenon, and expression of NF-kB, Sonic Hedgehog (SHH), K-RAS, and PTX3 in breast cancer in 100 breast biopsies. Samples were classified as follows: 30 benign lesions (BL), 30 ductal infiltrating carcinomas low grade (MLG1), and 40 ductal infiltrating carcinomas high grade (MLG3). Expression of vimentin, CD44, β-catenin, NF-kB, SHH, K-RAS, CD44, and PTX3 was studied by immunohistochemistry. The different rate of cells with vimentin, nuclear β-catenin, and CD44 expression in MLG3 as compared with MLG1 and BL suggested that the process of de-differentiation of breast cancer cells could be related to the EMT. Our results showed a significant increase in NF-kB signal in MLG3 (2.33 ± 0.77) with respect to MLG1 (1.26 ± 0.55) and BL (0.86 ± 0.52). SHH expression appeared low in BL (1.00 ± 0.41) and homogenously widespread in MLG1 (1.23 ± 0.63) and MLG3 (1.56 ± 0.54). An important increase in K-RAS signal was observed in MLG3 compared to that in BL (2.20 ± 0.69 vs 0.82 ± 0.59). As regards PTX3, we observed a strong expression in MLG3 (2.00 ± 0.78) with respect to BL (0.58 ± 0.55) and MLG1 (1.53 ± 0.76). The recurring expression of NF-kB, SHH, K-RAS, and PTX3 in vimentin- and CD44-positive breast cancer cells allows to speculate that breast cells acquire the ability to express these molecules in concomitance to EMT phenomenon. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 34% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 29% |
| Medicine and Dentistry | 5 | 13% |
| Agricultural and Biological Sciences | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 9 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2015.
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#21,423,217
of 23,917,076 outputs
Outputs from Tumor Biology
#1,823
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#243,833
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Outputs of similar age from Tumor Biology
#172
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