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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High fibroblast growth factor 19 (FGF19) expression predicts worse prognosis in invasive ductal carcinoma of breast
|
|---|---|
| Published in |
Tumor Biology, November 2013
|
| DOI | 10.1007/s13277-013-1374-y |
| Pubmed ID | |
| Authors |
Abdelbaset Buhmeida, Ashraf Dallol, Adnan Merdad, Jaudah Al-Maghrabi, Mamdooh A. Gari, Muhammad M. Abu-Elmagd, Adeel G. Chaudhary, Adel M. Abuzenadah, Taoufik Nedjadi, Eramah Ermiah, Fatima Al-Thubaity, Mohammed H. Al-Qahtani |
| Abstract |
Metabolic diseases like diabetes and obesity are major risk factors for breast cancer. Aberrant expression of metabolic effectors such as fibroblast growth factor 19 (FGF19) could be therefore associated with the disease. The expression of FGF19 was examined in 193 archival breast tumor samples by immunohistochemistry and evaluated semi-quantitatively by determining the staining index and correlating it with clinicopathological parameters using Fisher's exact test. The correlation between FGF19 expression and 5-year disease-specific survival rate was determined using the univariate Kaplan-Meier analysis. The prognostic value of FGF19 expression was evaluated using the multivariate Cox regression analysis. Of the 193 tumors analyzed, 40% were classified with low FGF19 expression, whereas 60% were categorized as tumors with high FGF19 expression. There was a highly significant correlation between high FGF19 expression and patients' age (p = 0.008) as well as 5-year disease-specific survival (p = 0.001). However, FGF19 expression did not show any significant correlations with other clinicopathological parameters, including hormonal status, tumor grade, tumor size, or lymph node status. Univariate Kaplan-Meier log rank analysis showed that patients with high FGF19 expression exhibited a significantly shorter disease-specific 5-year survival (p = 0.007). This effect was exacerbated by lymph node metastasis (p = 0.001), negative estrogen receptor (ER) status (p = 0.002), or old age (p = 0.013). Multivariate analysis showed that high FGF19 expression could be an independent prognostic marker of disease-specific survival in breast cancer patients (p = 0.030). Quantification of FGF19 expression appears to provide valuable prognostic information in breast cancer, particularly in older patients with lymph node metastasis and negative ER status. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Romania | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 17% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Lecturer | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 17 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 31% |
| Medicine and Dentistry | 7 | 17% |
| Agricultural and Biological Sciences | 4 | 10% |
| Immunology and Microbiology | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 16 | 38% |
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 08 December 2013.
All research outputs
#15,286,644
of 22,733,113 outputs
Outputs from Tumor Biology
#1,050
of 2,622 outputs
Outputs of similar age
#188,972
of 302,097 outputs
Outputs of similar age from Tumor Biology
#35
of 68 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 302,097 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.