The study and comprehension of the molecular mechanisms underlying cancer biology strongly rely on mouse modeling. An ideal mouse model should have molecular, histopathological, and etiological characteristics as close as possible to those of the corresponding human tumors. Among solid tumors, colorectal cancer (CRC) is one of the malignancies that best suits reproduction in an animal model: it evolves through a progressive set of molecular events and is generally associated with a precise histopathology and a neat cataloging of stages and grades. The development of refined CRC mouse models over several decades has seen them recently evolve toward sophisticated systems that ever more closely approximate the human pathology, with different models addressing different human CRC subtypes. In particular, a metastatic CRC model has been seen as a "holy grail" in this field, and we describe in this review the path taken to achieve metastatic models and discuss the path forward.
Pharmacology, Toxicology and Pharmaceutical Science
3
3%
Other
5
4%
Unknown
35
30%
Attention Score in Context
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 26 February 2018.
All research outputs
#25,299,414
of 28,110,440 outputs
Outputs from Oncogene
#11,056
of 11,542 outputs
Outputs of similar age
#311,162
of 349,527 outputs
Outputs of similar age from Oncogene
#131
of 140 outputs
Altmetric has tracked 28,110,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 1st percentile – i.e., 1% 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 349,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
