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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptional Profiling of Breast Cancer Metastases Identifies Liver Metastasis–Selective Genes Associated with Adverse Outcome in Luminal A Primary Breast Cancer
|
|---|---|
| Published in |
Clinical Cancer Research, January 2016
|
| DOI | 10.1158/1078-0432.ccr-15-0487 |
| Pubmed ID | |
| Authors |
Siker Kimbung, in collaboration with the TEX study group, Ida Johansson, Anna Danielsson, Srinivas Veerla, Suzanne Egyhazi Brage, Marianne Frostvik Stolt, Lambert Skoog, Lena Carlsson, Zakaria Einbeigi, Elisabet Lidbrink, Barbro Linderholm, Niklas Loman, Per-Olof Malmström, Martin Söderberg, Thomas M. Walz, Mårten Fernö, Thomas Hatschek, Ingrid Hedenfalk |
| Abstract |
The complete molecular basis of the organ-specificity of metastasis is elusive. This study aimed to provide an independent characterization of the transcriptional landscape of breast cancer metastases with the specific objective to identify liver metastasis-selective genes of prognostic importance following primary tumor diagnosis. A cohort of 304 women with advanced breast cancer was studied. Associations between the site of recurrence and clinico-pathological features were investigated. Fine-needle aspirates of metastases (n=91) were subjected to whole genome transcriptional profiling. Liver metastasis-selective genes were identified by significance analysis of microarray (SAM) analyses and independently validated in external datasets. Finally, the prognostic relevance of the liver metastasis-selective genes in primary breast cancer was tested. Liver relapse was associated with estrogen receptor (ER) expression (P=0.002), luminal B subtype (P=0.01), and was prognostic for an inferior post-relapse survival (P=0.01). The major variation in the transcriptional landscape of metastases was also associated with ER expression and molecular subtype. However, liver metastases displayed unique transcriptional fingerprints, characterized by down-regulation of extracellular matrix (i.e. stromal) genes. Importantly, we identified a 17-gene liver metastasis-selective signature, which was significantly and independently prognostic for shorter relapse-free (P<0.001) and overall (P=0.001) survival in ER positive tumors. Remarkably, this signature remained independently prognostic for shorter relapse-free survival (P=0.001) among luminal A tumors. Extracellular matrix (stromal) genes can be used to partition breast cancer by site of relapse and may be used to further refine prognostication in ER positive primary breast cancer. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Denmark | 1 | 1% |
| Germany | 1 | 1% |
| Norway | 1 | 1% |
| Unknown | 63 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 25% |
| Student > Bachelor | 10 | 15% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Master | 7 | 10% |
| Lecturer | 3 | 4% |
| Other | 10 | 15% |
| Unknown | 13 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 24% |
| Biochemistry, Genetics and Molecular Biology | 14 | 21% |
| Agricultural and Biological Sciences | 11 | 16% |
| Nursing and Health Professions | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 19 | 28% |
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 04 January 2016.
All research outputs
#16,786,929
of 25,464,544 outputs
Outputs from Clinical Cancer Research
#10,838
of 13,236 outputs
Outputs of similar age
#231,131
of 399,910 outputs
Outputs of similar age from Clinical Cancer Research
#116
of 181 outputs
Altmetric has tracked 25,464,544 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 15th percentile – i.e., 15% 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 399,910 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 181 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.