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Gene expression analyses of primary melanomas reveal CTHRC1 as an important player in melanoma progression.

ABSTRACT: Melanoma is notorious for its high tendency to metastasize and its refractoriness to conventional treatments after metastasis, and the responses to most targeted therapies are short-lived. A better understanding of the molecular mechanisms behind melanoma development and progression is needed to develop more effective therapies and to identify new markers to predict disease behavior. Here, we compared the gene expression profiles of benign nevi, and non-metastatic and metastatic primary melanomas to identify any common changes in disease progression. We identified several genes associated with inflammation, angiogenesis, and extracellular matrix modification to be upregulated in metastatic melanomas. We selected one of these genes, collagen triple helix repeat containing 1 (CTHRC1), for detailed analysis, and found that CTHRC1 was expressed in both melanoma cells and the associated fibroblasts, as well as in the endothelium of tumor blood vessels. Knockdown of CTHRC1 expression by shRNAs in melanoma cells inhibited their migration in Transwell assays and their invasion in three-dimensional collagen and Matrigel matrices. We also elucidated the possible down-stream effectors of CTHRC1 by gene expression profiling of the CTHRC1-knockdown cells. Our analyses showed that CTHRC1 is regulated coordinately with fibronectin and integrin ?3 by the pro-invasive and -angiogenic transcription factor NFATC2. We also found CTHRC1 to be a target of TFG? and BRAF. These data highlight the importance of tumor stroma in melanoma progression. Furthermore, CTHRC1 was recognized as an important mediator of melanoma cell migration and invasion, providing together with its regulators-NFATC2, TGF?, and BRAF-attractive therapeutic targets against metastatic melanomas.

SUBMITTER: Eriksson J

PROVIDER: S-EPMC4924771 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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Gene expression analyses of primary melanomas reveal CTHRC1 as an important player in melanoma progression.

Eriksson Johanna J Le Joncour Vadim V Nummela Pirjo P Jahkola Tiina T Virolainen Susanna S Laakkonen Pirjo P Saksela Olli O Hölttä Erkki E

Oncotarget 20160301 12

Melanoma is notorious for its high tendency to metastasize and its refractoriness to conventional treatments after metastasis, and the responses to most targeted therapies are short-lived. A better understanding of the molecular mechanisms behind melanoma development and progression is needed to develop more effective therapies and to identify new markers to predict disease behavior. Here, we compared the gene expression profiles of benign nevi, and non-metastatic and metastatic primary melanoma ...[more]

PMID: 26918341

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Project description:Little is known about survival after a diagnosis of a second or higher-order (multiple) primary melanoma, and no study has explored survival in a population-based sample that included patients with single primary melanomas (SPMs) and multiple primary melanomas (MPMs) of any stage. Because people with a first primary melanoma are known to have an increased risk of being diagnosed with another, evidence for prognosis is needed.To determine whether survival after diagnosis was better in patients with MPMs than with SPMs, as suggested in a recent study. DESIGN Survival analysis with median follow-up of 7.6 (range, 0.4-10.6) years.The Genes, Environment, and Melanoma Study enrolled incident cases of melanoma from population-based cancer registries in Australia, Canada, Italy, and the United States. Multiple primary melanomas were ascertained during a longer period than SPM.Two thousand three hundred seventy-two patients with SPM and 1206 with MPM.Diagnosis with melanoma.Melanoma-specific fatality hazard ratios (HR) and 95% confidence intervals associated with clinical and pathological characteristics of SPM, MPM, and both in Cox proportional hazards regression models.Melanoma thickness was the main determinant of fatality (HR for >4 mm, 7.68 [95% CI, 4.46-13.23]); other independent predictors were ulceration, mitoses, and scalp location. After adjustment for these other predictors, we found little difference in fatality between MPM and SPM (HR for MPM relative to SPM, 1.24 [95% CI, 0.91-1.69; P?=?.18]). Thicker SPM, however, had higher fatality (HR for >4 mm, 13.56 [95% CI, 6.47-28.40]) than thicker MPM (2.93 [1.17-7.30]).Although overall fatalities due to SPM and MPM were similar, relative fatality for thicker SPM was greater than that for thicker MPM. This finding may offer support for a difference in outcome between patients with SPM and MPM related to factors other than closer surveillance and earlier diagnosis. The better outcomes are worth further exploration.

Project description:Co-expression network analyses provide insights into the molecular interactions underlying complex traits and diseases. In this study, co-expression network analysis was performed to detect expression patterns (modules or clusters) of microRNAs (miRNAs) during lactation, and to identify miRNA regulatory mechanisms for milk yield and component traits (fat, protein, somatic cell count (SCC), lactose, and milk urea nitrogen (MUN)) via miRNA target gene enrichment analysis. miRNA expression (713 miRNAs), and milk yield and components (Fat%, Protein%, lactose, SCC, MUN) data of nine cows at each of six different time points (day 30 (D30), D70, D130, D170, D230 and D290) of an entire lactation curve were used. Four modules or clusters (GREEN, BLUE, RED and TURQUOISE) of miRNAs were identified as important for milk yield and component traits. The GREEN and BLUE modules were significantly correlated (|r| > 0.5) with milk yield and lactose, respectively. The RED and TURQUOISE modules were significantly correlated (|r| > 0.5) with both SCC and lactose. In the GREEN module, three abundantly expressed miRNAs (miR-148a, miR-186 and miR-200a) were most significantly correlated to milk yield, and are probably the most important miRNAs for this trait. DDR1 and DDHX1 are hub genes for miRNA regulatory networks controlling milk yield, while HHEX is an important transcription regulator for these networks. miR-18a, miR-221/222 cluster, and transcription factors HOXA7, and NOTCH 3 and 4, are important for the regulation of lactose. miR-142, miR-146a, and miR-EIA17-14144 (a novel miRNA), and transcription factors in the SMAD family and MYB, are important for the regulation of SCC. Important signaling pathways enriched for target genes of miRNAs of significant modules, included protein kinase A and PTEN signaling for milk yield, eNOS and Noth signaling for lactose, and TGF ?, HIPPO, Wnt/?-catenin and cell cycle signaling for SCC. Relevant enriched gene ontology (GO)-terms related to milk and mammary gland traits included cell differentiation, G-protein coupled receptor activity, and intracellular signaling transduction. Overall, this study uncovered regulatory networks in which miRNAs interacted with each other to regulate lactation traits.

Dataset Information

Gene expression analyses of primary melanomas reveal CTHRC1 as an important player in melanoma progression.

Publications

Gene expression analyses of primary melanomas reveal CTHRC1 as an important player in melanoma progression.

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