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Query: UMLS:C1522282 (
EMT
)
2,868
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
The intrinsic drivers of migration in glioblastoma (GBM) are poorly understood. To better capture the native molecular imprint of GBM and its developmental context, here we isolate human stem cell populations from GBM (
GSC
) and germinal matrix tissues and map their chromatin accessibility via ATAC-seq. We uncover two distinct regulatory
GSC
signatures, a developmentally shared/proliferative and a tumor-specific/migratory one in which TEAD1/4 motifs are uniquely overrepresented. Using ChIP-PCR, we validate TEAD1 trans occupancy at accessibility sites within AQP4, EGFR, and CDH4. To further characterize TEAD's functional role in GBM, we knockout TEAD1 or TEAD4 in patient-derived GBM lines using CRISPR-Cas9. TEAD1 ablation robustly diminishes migration, both in vitro and in vivo, and alters migratory and
EMT
transcriptome signatures with consistent downregulation of its target AQP4. TEAD1 overexpression restores AQP4 expression, and both TEAD1 and AQP4 overexpression rescue migratory deficits in TEAD1-knockout cells, implicating a direct regulatory role for TEAD1-AQP4 in GBM migration.
...
PMID:Analysis of chromatin accessibility uncovers TEAD1 as a regulator of migration in human glioblastoma. 3027 45
Multivariable analyses of global expression profiling are valid indicators of the prognosis of various diseases including brain cancers. To identify the candidates for markers of prognosis of glioblastoma, we performed multivariable analyses on the status of epithelial (EPI)-mesenchymal (MES) transition (
EMT
), glioma (GLI) stem cells (GSCs), molecular target therapy (MTT), and potential glioma biomarkers (PGBs) using the expression data and clinical information from patients. Random forest survival and Cox proportional hazards regression analyses indicated significant variable values for
DSG3
,
CLDN1
,
CDH11
,
FN1
,
HDAC3/7
,
PTEN
,
L1CAM
,
OLIG2
,
TIMP4
,
IGFBP2
, and
GFAP
. The analyses also comprised prognosis prediction formulae that could distinguish between the survival curves of the glioblastoma patients. In addition to the genes mentioned above,
HDAC1
,
FLT1
,
EGFR
,
MGMT
,
PGF
,
STAT3
,
SIRT1
, and
GADD45A
constituted complex genetic interaction networks. The calculated status scores obtained by principal component analysis indicated that GLI genes covered the status of EPI,
GSC
, and MTT-related genes. Moreover, survival tree analyses indicated that MES
high
, MES
high
GLI
low
,
GSC
high
GLI
low
, MES
high
MTT
low
, and PGB
high
showed poor prognoses and MES
middle
,
GSC
low
, and PGB
low
showed good prognoses, suggesting that enhanced
EMT
and
GSC
are associated with poor survival and that lower expression of EPI markers and the pre-stages of
EMT
are relatively less malignant in glioblastoma. These results demonstrate that the assessment of
EMT
and
GSC
enables the prediction of the prognosis of glioblastoma that would help develop novel therapeutics and de novo marker candidates for the prognoses of glioblastoma.
...
PMID:Promising Prognosis Marker Candidates on the Status of Epithelial-Mesenchymal Transition and Glioma Stem Cells in Glioblastoma. 3165 34
Brain, the major organ of the central nervous system controls and processes most of body activities. Therefore, the most aggressive brain tumor - glioblastoma and metastases from other organs to the brain are lethal leaving the patients with very short time of survival. The brain tissue landscape is very different from any other tissues and the specific microenvironment, comprising stem cells niches and blood-brain barrier, significantly influences the low rate of glioblastoma metastasis out of the brain, but better accommodates brain-invading cancer. In contrast to low frequency (0.5%) of all glioblastoma metastases, 10%-45% of other primary cancers do metastasize to the brain. This review addresses general cellular and molecular pathways that are to some extent similar in both types of metastases, involving circulating tumor cells (CTCs) with cancer stem cells (CSCs) characteristics, and metastatic niches. The invasion is a dynamic process involving reversible epithelial-to-mesenchymal (
EMT
) cell process, creating a transient gradient state that is inter-connected with epigenetic plasticity of the metastasizing (m)CSCs. These cells can switch between stationary, low proliferating/dormant state to a migratory, mesenchymal-like state. Settling in their respective niches as dormant CSCs in the secondary organ is a common feature in all types of metastases. In glioblastoma metastasis, the malignant mGSC cells express markers of mesenchymal
GSC
subtype (MES-GSC), such as CD44 and YK-40 and their major obstacle seems to be propagating in the in various organs' microenvironments, different from the niches that home GSCs in the primary glioblastoma. Focusing on one stromal component in the glioblastoma niches, the mesenchymal stem cells (MSCs), we report herein on their differential effects on glioblastoma cells, highly depending on their genetic subtype. On the other hand, in brain metastases, the major hindrance to metastatic progression of mCSCs seem to be crossing the blood-brain-barrier. Novel therapeutic approaches for brain metastases from various cancer types are advancing slowly, and the general trends involve targeting metastatic sub-clones and selective determinants of their niches. The update on the four most common brain metastases from lung, breast, melanoma and colorectal carcinoma is presented.
...
PMID:Brain malignancies: Glioblastoma and brain metastases. 3165 11