2012
DOI: 10.1371/journal.pone.0045969
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Met Kinetic Signature Derived from the Response to HGF/SF in a Cellular Model Predicts Breast Cancer Patient Survival

Abstract: To determine the signaling pathways leading from Met activation to metastasis and poor prognosis, we measured the kinetic gene alterations in breast cancer cell lines in response to HGF/SF. Using a network inference tool we analyzed the putative protein-protein interaction pathways leading from Met to these genes and studied their specificity to Met and prognostic potential. We identified a Met kinetic signature consisting of 131 genes. The signature correlates with Met activation and with response to anti-Met… Show more

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Cited by 6 publications
(5 citation statements)
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References 70 publications
(61 reference statements)
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“…Our results suggest that brain metastatic cells are capable of triggering a phenotypic switch from normal astrocytes to TAAs through IL1β-mediated NF-κB pathway. It is probable that astrocytes exert its anti-tumoral activity at an early stage of metastatic growth as described previously (16). However, at the later stage, they may be transformed to TAAs thorough reciprocal interaction with tumor cells, and this reprogramed TAA gains the ability to support the metastatic growth as we found in this study.…”
Section: Discussionmentioning
confidence: 53%
See 1 more Smart Citation
“…Our results suggest that brain metastatic cells are capable of triggering a phenotypic switch from normal astrocytes to TAAs through IL1β-mediated NF-κB pathway. It is probable that astrocytes exert its anti-tumoral activity at an early stage of metastatic growth as described previously (16). However, at the later stage, they may be transformed to TAAs thorough reciprocal interaction with tumor cells, and this reprogramed TAA gains the ability to support the metastatic growth as we found in this study.…”
Section: Discussionmentioning
confidence: 53%
“…(15) We also expanded the TKR signature genes that were not available from the previous two data sets and these include FGF (GSE17916), TrkA (GSE18409), Axl (GSE30543), EphB2 (GSE66361), Ret (GSE41405) and c-Met (E-MTAB-762) pathways (16). The complete list of signatures is shown in Table S1.…”
Section: Methodsmentioning
confidence: 99%
“…Upregulation of mesenchymal biomarkers and Met activation have both been associated separately with prognosis in several tumor types (6,(31)(32)(33) and coexistence of both markers with stemness (34). One could hypothesize that the presence of a subset of cells with these markers in SCLC at diagnosis could predict the enrichment of this chemoresistant population at progression after chemotherapy and, therefore, explain the poor prognosis of these patients in our study.…”
Section: Discussionmentioning
confidence: 54%
“…One study reveals that a specific c-Met tyrosine kinase activation pathway correlates with high risk patients who will go on to develop an aggressive form of the disease; this also suggests that the determination of this c-Met activation signature pathway may be used as a clinical tool to identify and predict patient response for future personalised anti-Met therapies [ 48 ]. The use of such clinical tools will play a key role in the management of breast cancer and may be used in the process of stratifying patients accordingly.…”
Section: Discussionmentioning
confidence: 99%