The Advantages and Disadvantages of Sfrp1 and Sfrp2 Expression in Pathological Events

Esteve, Pilar; Bovolenta, Paola

doi:10.1620/tjem.221.11

Cited by 47 publications

(52 citation statements)

References 88 publications

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“…In different cellular systems, modulation of CD74 ICD generation and release was reflected in corresponding changes of SFRP2 transcript levels. SFRP2 is a secretory protein that has been found to be a negative regulator of Wnt signaling (45,46). Furthermore, among other functions SFRP2 has been suggested to act as a tumor suppressor because it was shown to induce apoptosis and promote tumorigenesis (46,47).…”

Section: Discussionmentioning

confidence: 99%

A Cell‐Based Assay Reveals Nuclear Translocation of Intracellular Domains Released by SPPL Proteases

Mentrup

Häsler

Fluhrer

et al. 2015

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Section: Discussionmentioning

confidence: 99%

A Cell‐Based Assay Reveals Nuclear Translocation of Intracellular Domains Released by SPPL Proteases

Mentrup

Häsler

Fluhrer

et al. 2015

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“…Silencing of SFRP1 leads to Wntpathway activation, whereas overexpression can confer metastatic properties (see review in ref. 44). COL9A3 is one of the three a-chains of type IX collagen, the major collagen component of hyaline cartilage that has roles in locomotion, cell adhesion, and ossification.…”

Section: Discussionmentioning

confidence: 99%

A Poor Prognosis Subtype of HNSCC Is Consistently Observed across Methylome, Transcriptome, and miRNome Analysis

Jung

Job

Ledrappier

et al. 2013

Clinical Cancer Research

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Purpose: Distant metastasis after treatment is observed in about 20% of squamous cell carcinoma of the head and neck (HNSCC). In the absence of any validated robust biomarker, patients at higher risk for metastasis cannot be provided with tailored therapy. To identify prognostic HNSCC molecular subgroups and potential biomarkers, we have conducted genome-wide integrated analysis of four omic sets of data.Experimental Design: Using state-of-the-art technologies, a core set of 45 metastasizing and 55 nonmetastasizing human papillomavirus (HPV)-unrelated HNSCC patient samples were analyzed at four different levels: gene expression (transcriptome), DNA methylation (methylome), DNA copy number (genome), and microRNA (miRNA) expression (miRNome). Molecular subgroups were identified by a model-based clustering analysis. Their clinical relevance was evaluated by survival analysis, and functional significance by pathway enrichment analysis.Results: Patient subgroups selected by transcriptome, methylome, or miRNome integrated analysis are associated with shorter metastasis-free survival (MFS). A common subgroup, R1, selected by all three omic approaches, is statistically more significantly associated with MFS than any of the single omic-selected subgroups. R1 and non-R1 samples display similar DNA copy number landscapes, but more frequent chromosomal aberrations are observed in the R1 cluster (especially loss at 13q14.2-3). R1 tumors are characterized by alterations of pathways involved in cell-cell adhesion, extracellular matrix (ECM), epithelial-to-mesenchymal transition (EMT), immune response, and apoptosis.Conclusions: Integration of data across several omic profiles leads to better selection of patients at higher risk, identification of relevant molecular pathways of metastasis, and potential to discover biomarkers and drug targets. Clin Cancer Res; 19(15); 4174-84. Ó2013 AACR.

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“…The sFRP1 and sFRP2 proteins have active roles in numerous cell systems, primarily in the regulation of canonical Wnt signaling (reviewed in Ref. 41). Wnt signaling through the canonical pathway is important for the maintenance of mESC and hESC self-renewal and pluripotency (42)(43)(44).…”

Section: Discussionmentioning

confidence: 99%

Mass Spectrometry–based Proteomic Analysis of the Matrix Microenvironment in Pluripotent Stem Cell Culture

Hughes

Radan

Chang

et al. 2012

Molecular & Cellular Proteomics

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The cellular microenvironment comprises soluble factors, support cells, and components of the extracellular matrix (ECM) that combine to regulate cellular behavior. Pluripotent stem cells utilize interactions between support cells and soluble factors in the microenvironment to assist in the maintenance of self-renewal and the process of differentiation. However, the ECM also plays a significant role in shaping the behavior of human pluripotent stem cells, including embryonic stem cells (hESCs) and induced pluripotent stem cells. Moreover, it has recently been observed that deposited factors in a hESC-conditioned matrix have the potential to contribute to the reprogramming of metastatic melanoma cells. Therefore, the ECM component of the pluripotent stem cell microenvironment necessitates further analysis.In this study we first compared the self-renewal and differentiation properties of hESCs grown on Matrigel™ pre-conditioned by hESCs to those on unconditioned Matrigel™. We determined that culture on conditioned Matrigel™ prevents differentiation when supportive growth factors are removed from the culture medium. To investigate and identify factors potentially responsible for this beneficial effect, we performed a defined SILAC MSbased proteomics screen of hESC-conditioned Matrigel™. From this proteomics screen, we identified over 80 extracellular proteins in matrix conditioned by hESCs and induced pluripotent stem cells. These included matrixassociated factors that participate in key stem cell pluripotency regulatory pathways, such as Nodal/Activin and canonical Wnt signaling. This work represents the first investigation of stem-cell-derived matrices from human pluripotent stem cells using a defined SILAC MS-based proteomics approach. Molecular & Cellular Proteomics

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The Advantages and Disadvantages of Sfrp1 and Sfrp2 Expression in Pathological Events

Cited by 47 publications

References 88 publications

A Cell‐Based Assay Reveals Nuclear Translocation of Intracellular Domains Released by SPPL Proteases

A Cell‐Based Assay Reveals Nuclear Translocation of Intracellular Domains Released by SPPL Proteases

A Poor Prognosis Subtype of HNSCC Is Consistently Observed across Methylome, Transcriptome, and miRNome Analysis

Mass Spectrometry–based Proteomic Analysis of the Matrix Microenvironment in Pluripotent Stem Cell Culture

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