Not exact matches
Over the years, many
different mathematical
models of
tumor growth have been proposed, but determining which is most accurate at predicting cancer progression is a challenge.
However, when the researchers switched on KRAS in the preclinical
models, an entirely
different kind of
tumor formed, called angiosarcoma.
In this mouse
model, mutations in Kras and p53 genes resulted in the formation of individual
tumor cell populations that were labeled with
different colors.
Efforts aimed at finding better drug regimens would therefore greatly benefit from a mouse
model with an intrinsic marker that can indicate
different stages of pancreatic
tumor formation leading to cancer and reflect the effects exerted by novel drug candidates.
Shah next plans to rationally combine the toxin - secreting stem cells with a number of
different therapeutic stem cells developed by his team to further enhance their positive results in mouse
models of glioblastoma, the most common brain
tumor in human adults.
The researchers then confirmed three properties of cancer: First, they determined that metastases originate along
different paths, or lineages, within primary
tumors, and spread in a «branched,» rather than a linear,
model.
Both Tsigelny and Kurzrock agreed that this finding is an excellent example of the power of collaboration between SDSC and the Moores Cancer Center, and that such
modeling needed to be studied across
tumors and with multiple
different genes involved in cancer.
In experiments with cancer cell lines, the PIM1 inhibitors killed cells in a MYC - dependent manner, and in two
different mouse
models — one in which mice were implanted with patient
tumors and the other in which a genetic alteration of MYC predisposes the mice to
tumor development — the administration of PIM1 inhibitors resulted in significant
tumor regression.
Using all the existing data that was available, Andrechek, along with MSU doctoral student Daniel Hollern, analyzed 1,172 mouse mammary
tumor samples from 26
different preclinical
models and was able to compile one of the largest databases to show which strains of mice were best suited to study a particular type of human breast cancer.
«Having these personalized laboratory
models, which we can make in a matter of weeks, will let us test multiple
different drugs on the
tumor and help us bring precision medicine to individuals with bladder cancer.»
Their recent study, which appears as the cover article in the May issue of Cancer Research, shows that mathematical
models can be used to predict how
different tumor cell populations interact with each other and respond to a changing environment.
The authors note that there are two
different models of metastasis — one in which an advanced primary
tumor disseminates metastatic cells late in its development, which would predict little genetic difference between primary and metastatic cells, and another in which metastasis occurs early in
tumor development, which would predict significant genetic differences in metastatic cells that have evolved separately from those in the primary
tumor.
«Eliminating endothelial CD146 by conditional knockout in two
different mouse
models of colitis significantly reduced the severity of inflammation and decreased
tumor incidence and
tumor progression in a mouse
model of CAC,» reports lead investigator Xiyun Yan, PhD, from the Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing.
The scientists said that while most therapies are based on the on - size - fits - all
model of medicine, «we've long recognized in cancer that every patient's
tumor is
different.
Now we want to extend this technology to animal
models, such as cancer bearing mice, to verify its practical use in
different types of
tumors,» explains Park.
In addition, previous studies done in Wang's lab suggest that BCX, through a
different molecular mechanism, can slow the nicotine - promoted growth of lung
tumors and decrease cigarette smoke - induced lung inflammation in animal
models.
Due to the high efficiency of establishing organoid
models from
different tissues and diseases, such as cancer, organoid technology allows the generation of large living biobanks of
tumor organoids that are amenable for middle - throughput drug screens and may allow personalized therapy design, as a complement to cell line and xenograft - based drug studies (7,19).
In the awarded research, Allison Cleary used the mouse
model MMTV - Wnt1, which spontaneously develop breast
tumors, to explore the relationship between the
different cell clones.