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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pathology-Driven Comprehensive Proteomic Profiling of the Prostate Cancer Tumor Microenvironment
|
|---|---|
| Published in |
Molecular Cancer Research, February 2017
|
| DOI | 10.1158/1541-7786.mcr-16-0358 |
| Pubmed ID | |
| Authors |
Lisa Staunton, Claire Tonry, Rosina Lis, Virginia Espina, Lance Liotta, Rosanna Inzitari, Michaela Bowden, Aurelie Fabre, John O'Leary, Stephen P Finn, Massimo Loda, Stephen R Pennington |
| Abstract |
Prostate cancer (PCa) is the second most common cancer in men worldwide. Gleason grading is an important predictor of PCa outcomes and is influential in determining patient treatment options. Clinical decisions based on a Gleason score of 7 are difficult as the prognosis for individuals diagnosed with Gleason 4+3 cancer is much worse than for those diagnosed with Gleason 3+4 cancer. Laser capture microdissection (LCM) is a highly precise method to isolate specific cell populations or discrete microregions from tissues. This report undertook a detailed molecular characterization of the tumor microenvironment (TME) in PCa to define the proteome in the epithelial and stromal regions from tumor foci of Gleason grade 3 and 4. Tissue regions of interest were isolated from several Gleason 3+3 and Gleason 4+4 tumors using telepathology to leverage specialized pathology expertise to support LCM. Over 2,000 proteins were identified following liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of all regions of interest. Statistical analysis revealed significant differences in protein expression (>100 proteins) between Gleason 3 and Gleason 4 regions - in both stromal and epithelial compartments. A subset of these proteins has had prior strong association with PCa, thereby providing evidence for the authenticity of the approach. Finally, validation of these proteins by immunohistochemistry (IHC) has been obtained using an independent cohort of PCa tumor specimens. This unbiased strategy provides a strong foundation for the development of biomarker protein panels with significant diagnostic and prognostic potential. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Ireland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 17% |
| Professor > Associate Professor | 5 | 12% |
| Student > Doctoral Student | 5 | 12% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Other | 11 | 26% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 31% |
| Medicine and Dentistry | 6 | 14% |
| Agricultural and Biological Sciences | 6 | 14% |
| Chemistry | 3 | 7% |
| Computer Science | 2 | 5% |
| Other | 1 | 2% |
| Unknown | 11 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 January 2018.
All research outputs
#15,712,315
of 24,892,887 outputs
Outputs from Molecular Cancer Research
#1,290
of 2,004 outputs
Outputs of similar age
#182,610
of 316,253 outputs
Outputs of similar age from Molecular Cancer Research
#17
of 27 outputs
Altmetric has tracked 24,892,887 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,004 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 316,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.