| Title |
The reciprocal association between mammographic breast density, hyaluronan synthesis and patient outcome
|
|---|---|
| Published in |
Breast Cancer Research and Treatment, September 2015
|
| DOI | 10.1007/s10549-015-3567-0 |
| Pubmed ID | |
| Authors |
Amro Masarwah, Markku Tammi, Mazen Sudah, Anna Sutela, Sanna Oikari, Veli-Matti Kosma, Raija Tammi, Ritva Vanninen, Päivi Auvinen |
| Abstract |
Low mammographic breast density (MBD) and increased hyaluronan (HA) synthesis have been shown to have adverse effects on breast cancer prognosis. We aimed at elucidating the background of risk associated with mammographic characteristics, MBD and HA and its synthesizing isoforms in an attempt to uncover potential underlying biological mechanisms. MBD and mammographic characteristics of 270 patients were classified according to percentile density (very low density VLD, ≤25 %; mixed density MID, >25 %) and the BI-RADS 5th edition lexicon. Breast density and mammographic features were correlated with the localization and expression of HA, CD44, and HAS1-3 isoforms, and their combined effect on patients' survivals was explored. VLD showed an increased level of HA-positive carcinoma cells and stromal HA, HAS2, and HAS3. Tumors presenting as masses had more HA-positive carcinoma cells and more stromal HAS2 and HAS3. Indistinct margin tumors showed more stromal HA and HAS3. Patients who combined both VLD breasts with either high HA in carcinoma cells or stroma showed a worse prognosis compared to low levels (carcinoma cells 58.0 vs. 80.5 %, p = 0.001; stroma 64.2 vs. 79.6 %, p = 0.017), while no similar HA-related effect was observed in MID breasts. Our findings suggest a strong reciprocal relationship between low MBD and HA expression and synthesis. The expression of both factors simultaneously leads to an especially adverse prognostic effect which might have an impact on treatment decision in the future. Moreover, HA around cancer cells may inhibit chemotherapy agents and antibody treatments from reaching cancer cells. |
X Demographics
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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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 22% |
| Student > Bachelor | 3 | 13% |
| Researcher | 3 | 13% |
| Other | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 4 | 17% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 26% |
| Medicine and Dentistry | 4 | 17% |
| Agricultural and Biological Sciences | 2 | 9% |
| Engineering | 2 | 9% |
| Psychology | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 5 | 22% |
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 13 September 2015.
All research outputs
#20,291,881
of 22,828,180 outputs
Outputs from Breast Cancer Research and Treatment
#4,109
of 4,659 outputs
Outputs of similar age
#224,820
of 267,781 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#57
of 86 outputs
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