Navitoclax Enhances the Efficacy of Taxanes in Non — Small
Cell Lung Cancer Models.
Not exact matches
In the
Cell study, Dr. Massagué, with Fellow Manuel Valiente, PhD, and other team members, found that in mouse
models of breast and
lung cancer — two tumor types that often spread to the brain — many
cancer cells that enter the brain are killed by astrocytes.
«Our study results suggest a new drug cocktail that is effective in both human
lung cancer cell lines and fly
models,» says Cagan.
To test this idea, the researchers utilized two mouse
models of human breast
cancer metastasis and found dormant disseminated tumor
cells residing upon the membrane microvasculature of
lung, bone marrow and brain tissue.
One postdoc presents data on her efforts to develop an organoid
model for small -
cell lung cancer; another reports progress on culturing hormone - secreting organoids from human gut tissue.
To determine whether endothelial
cells — the
cells that line the interior surface of blood vessels — directly influence breast
cancer cell growth, they then created unique organotypic
models of
lung and bone marrow microvascular niches, in which endothelial
cells formed blood vessel - like structures in culture as they would in the original organ.
The study, called «Molecular Determinants of Drug - Specific Sensitivity for Epidermal Growth Factor Receptor (EGFR) Exon 19 and 20 Mutants in Non-Small
Cell Lung Cancer,» and published online in the journal Oncotarget, demonstrates how computer modeling of EGFR mutations found in lung cancer can elucidate their molecular mechanism of action and consequently optimize the selection of therapeutic agents to treat patie
Lung Cancer,» and published online in the journal Oncotarget, demonstrates how computer modeling of EGFR mutations found in lung cancer can elucidate their molecular mechanism of action and consequently optimize the selection of therapeutic agents to treat pat
Cancer,» and published online in the journal Oncotarget, demonstrates how computer
modeling of EGFR mutations found in
lung cancer can elucidate their molecular mechanism of action and consequently optimize the selection of therapeutic agents to treat patie
lung cancer can elucidate their molecular mechanism of action and consequently optimize the selection of therapeutic agents to treat pat
cancer can elucidate their molecular mechanism of action and consequently optimize the selection of therapeutic agents to treat patients.
The Manchester researchers tested a new drug that targets one of these molecules, MCT1, in
lung cancer cells and in mouse
models.
The article, titled «Entinostat Neutralizes Myeloid Derived Suppressor
Cells and Enhances the Antitumor Effect of PD - 1 Inhibition in Murine
Models of
Lung and Renal
Cell Carcinoma,» was published in Clinical
Cancer Research and is available online.
We have developed pre-clinical
models to identify genes, both in the tumour
cells and in the microenvironment that regulate the spread of
cancer to specific organs such as the liver,
lungs and brain.
Verma has successfully developed lentiviral vector - mediated mouse
models for glioblastoma,
lung adenocarcinoma and small
cell lung cancer (SCLC).
Patient - derived xenograft
models of non-small
cell lung cancer and their potential utility in personalized medicine.
Life tables were used to
model five year survival for early stage non-small
cell lung cancer and limited stage small
cell lung cancer, using death rates for continuing smokers and quitters obtained from this review.
In project on BRAF - mutant melanoma and EGFR - mutant non-small
cell lung cancer, we conceived a novel drug sensitivity metric, the DIP rate, that makes it possible to incorporate drug - induced proliferation rates in predictive
models of response.
In small
cell lung cancer, starting from bioinformatics analyses of large gene expression datasets, we clustered subsets of co-expressed gene modules, derived networks of transcription factors and simulated their dynamics using logic - based mathematical
modeling.
Life table
modelling on the basis of these data estimated 33 % five year survival in 65 year old patients with early stage non-small
cell lung cancer who continued to smoke compared with 70 % in those who quit smoking.