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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach
|
|---|---|
| Published in |
Genome Biology, February 2015
|
| DOI | 10.1186/s13059-015-0599-z |
| Pubmed ID | |
| Authors |
Andrés Castellanos-Martín, Sonia Castillo-Lluva, María del Mar Sáez-Freire, Adrián Blanco-Gómez, Lourdes Hontecillas-Prieto, Carmen Patino-Alonso, Purificación Galindo-Villardon, Luis Pérez del Villar, Carmen Martín-Seisdedos, María Isidoro-Garcia, María del Mar Abad-Hernández, Juan Jesús Cruz-Hernández, César Augusto Rodríguez-Sánchez, Rogelio González-Sarmiento, Diego Alonso-López, Javier De Las Rivas, Begoña García-Cenador, Javier García-Criado, Do Yup Lee, Benjamin Bowen, Wolfgang Reindl, Trent Northen, Jian-Hua Mao, Jesús Pérez-Losada |
| Abstract |
An essential question in cancer is why individuals with the same disease have different clinical outcomes. Progress toward a more personalized medicine in cancer patients requires taking into account the underlying heterogeneity at different molecular levels. Here, we present a model in which there are complex interactions at different cellular and systemic levels that account for the heterogeneity of susceptibility to and evolution of ERBB2-positive breast cancers. Our model is based on our analyses of a cohort of mice that are characterized by heterogeneous susceptibility to ERBB2-positive breast cancers. Our analysis reveals that there are similarities between ERBB2 tumors in humans and those of backcross mice at clinical, genomic, expression, and signaling levels. We also show that mice that have tumors with intrinsically high levels of active AKT and ERK are more resistant to tumor metastasis. Our findings suggest for the first time that a site-specific phosphorylation at the serine 473 residue of AKT1 modifies the capacity for tumors to disseminate. Finally, we present two predictive models that can explain the heterogeneous behavior of the disease in the mouse population when we consider simultaneously certain genetic markers, liver cell signaling and serum biomarkers that are identified before the onset of the disease. Considering simultaneously tumor pathophenotypes and several molecular levels, we show the heterogeneous behavior of ERBB2-positive breast cancer in terms of disease progression. This and similar studies should help to better understand disease variability in patient populations. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 49 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 29% |
| Other | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Postgraduate | 3 | 6% |
| Professor | 3 | 6% |
| Other | 10 | 20% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 22% |
| Biochemistry, Genetics and Molecular Biology | 10 | 20% |
| Medicine and Dentistry | 8 | 16% |
| Environmental Science | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 14 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 March 2015.
All research outputs
#7,302,411
of 25,374,647 outputs
Outputs from Genome Biology
#3,294
of 4,467 outputs
Outputs of similar age
#77,724
of 269,371 outputs
Outputs of similar age from Genome Biology
#64
of 67 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 26th percentile – i.e., 26% 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 269,371 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.