Dataset Information

Nephronectin is Correlated with Poor Prognosis in Breast Cancer and Promotes Metastasis via its Integrin-Binding Motifs.

ABSTRACT: Most cancer patients with solid tumors who succumb to their illness die of metastatic disease. While early detection and improved treatment have led to reduced mortality, even for those with metastatic cancer, some patients still respond poorly to treatment. Understanding the mechanisms of metastasis is important to improve prognostication, to stratify patients for treatment, and to identify new targets for therapy. We have shown previously that expression of nephronectin (NPNT) is correlated with metastatic propensity in breast cancer cell lines. In the present study, we provide a comprehensive analysis of the expression pattern and distribution of NPNT in breast cancer tissue from 842 patients by immunohistochemical staining of tissue microarrays from a historic cohort. Several patterns of NPNT staining were observed. An association between granular cytoplasmic staining (in <10% of tumor cells) and poor prognosis was found. We suggest that granular cytoplasmic staining may represent NPNT-positive exosomes. We found that NPNT promotes adhesion and anchorage-independent growth via its integrin-binding and enhancer motifs and that enforced expression in breast tumor cells promotes their colonization of the lungs. We propose that NPNT may be a novel prognostic marker in a subgroup of breast cancer patients.

SUBMITTER: Steigedal TS

PROVIDER: S-EPMC5909680 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Nephronectin is Correlated with Poor Prognosis in Breast Cancer and Promotes Metastasis via its Integrin-Binding Motifs.

Steigedal Tonje S TS Toraskar Jimita J Redvers Richard P RP Valla Marit M Magnussen Synnøve N SN Bofin Anna M AM Opdahl Signe S Lundgren Steinar S Eckhardt Bedrich L BL Lamar John M JM Doherty Judy J Hynes Richard O RO Anderson Robin L RL Svineng Gunbjørg G

Neoplasia (New York, N.Y.) 20180311 4

Most cancer patients with solid tumors who succumb to their illness die of metastatic disease. While early detection and improved treatment have led to reduced mortality, even for those with metastatic cancer, some patients still respond poorly to treatment. Understanding the mechanisms of metastasis is important to improve prognostication, to stratify patients for treatment, and to identify new targets for therapy. We have shown previously that expression of nephronectin (NPNT) is correlated wi ...[more]

PMID: 29539586

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Project description:Background:The pathogenesis and developmental mechanism of early-stage (FIGO 2009 IA2-IIA2) cervical cancer (CC) remain unclear. Seeking novel molecular biomarkers based on The Cancer Genome Atlas (TCGA) will facilitate the understanding of CC pathogenesis and help evaluate early-stage CC prognosis. Methods:To identify prognosis-related genes in early-stage CC, we analyzed TCGA mRNA-seq data and clinical data by univariate Cox and Kaplan-Meier plotter analyses. Differential expression analysis identified upregulated genes in early-stage CC. Combined with the genes correlated with unfavorable prognosis, we selected desmoglein-2 (DSG2) for further investigation. To detect DSG2 expression in early-stage CC, we used immunohistochemistry (IHC), quantitative real-time PCR (qRT-PCR) and western blotting. The relationship between the expression of DSG2 and clinical features was analyzed by the Chi square test. Cox analysis was applied to assess the relationship between CC overall survival (OS) and risk factors. The correlations between DSG2 expression and CC cell line proliferation and migration were investigated with Cell Counting Kit-8 (CCK-8) and migration assays. Results:There were 416 prognosis-related genes in early-stage CC. DSG2, matrix metallopeptidase 1 (MMP1), carbonic anhydrase IX (CA9), homeobox A1 (HOXA1), and serine protease inhibitor B3 (SERPINB3) were upregulated in early-stage CC compared with adjacent noncancerous tissue (ANT) and correlated with unfavorable prognosis. Among them, DSG2 was most significantly correlated with patient survival. Coexpression analysis indicated that DSG2 was probably involved in cell division, positive regulation of transferase activity, positive regulation of cell migration, EGFR upregulation pathway and regulation of lymphangiogenesis. IHC, qRT-PCR and western blotting showed that DSG2 expression was higher in CC than in normal tissue. Significant correlations were identified between DSG2 expression and several aggressive clinical features, including pelvic lymph node metastasis (PLNM). Multivariate Cox analysis showed that DSG2 and PLNM were independent prognostic factors for OS. DSG2 knockdown inhibited CC cell proliferation and migration. Conclusions:DSG2 is a biomarker that promotes tumor proliferation and metastasis and is correlated with poor prognosis in early-stage CC.

Dataset Information

Nephronectin is Correlated with Poor Prognosis in Breast Cancer and Promotes Metastasis via its Integrin-Binding Motifs.

Publications

Nephronectin is Correlated with Poor Prognosis in Breast Cancer and Promotes Metastasis via its Integrin-Binding Motifs.

Similar Datasets

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