Vascular pericytes, an important cellular component in the tumor microenvironment, are often associated with tumor vasculatures, and their functions in cancer invasion and metastasis are poorly understood. Here we show that PDGF-BB induces pericyte-fibroblast transition (PFT), which significantly contributes to tumor invasion and metastasis. Gain-and loss-of-function experiments demonstrate that PDGF-BB-PDGFRβ signaling promotes PFT both in vitro and in in vivo tumors. Genome-wide expression analysis indicates that PDGF-BB-activated pericytes acquire mesenchymal progenitor features. Pharmacological inhibition and genetic deletion of PDGFRβ ablate the PDGF-BB-induced PFT. Genetic tracing of pericytes with two independent mouse strains, TN-AP-CreERT2:R26R-tdTomato and NG2-CreERT2:R26R-tdTomato, shows that PFT cells gain stromal fibroblast and myofibroblast markers in tumors. Importantly, coimplantation of PFT cells with less-invasive tumor cells in mice markedly promotes tumor dissemination and invasion, leading to an increased number of circulating tumor cells and metastasis. Our findings reveal a mechanism of vascular pericytes in PDGF-BB-promoted cancer invasion and metastasis by inducing PFT, and thus targeting PFT may offer a new treatment option of cancer metastasis.pericyte | PDGF | fibroblast | metastasis | mesenchymal cell

Spinal muscular atrophies (SMA, also known as hereditary motor neuropathies) and hereditary motor and sensory neuropathies (HMSN) are clinically and genetically heterogeneous disorders of the peripheral nervous system. Here we report that mutations in the TRPV4 gene cause congenital © 2009 Nature America, Inc. All rights reserved.Correspondence should be addressed to M.A.-G. (michaela.auergrumbach@medunigraz.at).. METHODS: Methods and any associated references are available in the online version of the paper at http://www.nature.com/ naturegenetics/. Accession codes. GenBank: human TRPV4 cDNA, NM_021625; human TRPV4, NP_067638 IsoA. Pfam: ankyrin repeat, PF00023.Note: Supplementary information is available on the Nature Genetics website. AUTHOR CONTRIBUTIONS: M.A.-G., S.U., J.S., M.E.M., A.H.C., K.J.D., C.M.A.v.R.-A., N.E.A., H.L., B.S.-W., R.P., C.L., G.W.P., H.J.S., H.K. and T.R.P. recruited the study participants, acquired clinical data, conducted neurological and neurophysiological evaluations and performed linkage analysis. M.A.-G, C.G., L.P. and C.F. carried out the Affymetrix array linkage studies and identified the mutations. A.O., Z.B. and B.T. designed, carried out and analyzed the electrophysiological and Ca 2+ -imaging studies. E.F. conducted immunofluorescence and immunohistochemistry studies. H.S. conducted fluorescence-activated cell sorting (FACS) and biotinylation studies. A.K. performed structural biology and biocomputing analyses. A.H.C., M.E.M. and H.K. participated in the data analysis and reviewed the manuscript. M.A.-G. and C.G. analyzed the data, designed and supervised the study and wrote the manuscript. Supplementary Fig. 1) and observed linkage to three chromosomal regions with log 10 of odds (lod) scores >2 for several SNP markers, including the chromosome 12q23-24 region (data not shown). We constructed haplotypes by including additional distantly related family members (right branch of the pedigree; Supplementary Fig. 1). The genetic interval transmitted with the disease resides between SNPs rs2374688 and rs35426 (Chr. 12: 106,197,054,429 bp; Supplementary Table 1) and overlaps with the intervals reported for risk of congenital distal SMA, SPSMA and HMSN2C 2-4 . Europe PMC Funders GroupIn an affected individual from family FAM_1, we began sequencing all protein-coding exons and exon-intron boundaries of 19 genes but initially observed only known SNPs (Supplementary Table 2). However, sequencing of all protein-coding exons of TRPV4 (transient receptor potential vanilloid 4; chr. 12: 108,705,277-108,755,595; reverse strand) revealed a heterozygous C-to-T nucleotide change at position 943 in exon 6 (Supplementary Fig. 2a), which is predicted to cause the substitution of arginine with tryptophan at position 315 of TRPV4 (R315W). We then screened DNA samples from additional families showing one of the phenotypes described above, including two families previously reported 1,3,4 . All affected individuals from the chromosome 12q23-24-linked family (here called FAM_2) described by...

Fibroblast growth factors (FGFs) and their high-affinity receptors [fibroblast growth factor receptors (FGFRs)] contribute to autocrine and paracrine growth stimulation in several nonliver cancer entities. Here we report that at least one member of the FGF8 subfamily (FGF8, FGF17, and FGF18) was up-regulated in 59% of 34 human hepatocellular carcinoma (HCC) samples that we investigated. The levels of the corresponding receptors (FGFR2, FGFR3, and FGFR4) were also elevated in the great majority of the HCC cases. Overall, 82% of the HCC cases showed overexpression of at least one FGF and/or FGFR. The functional implications of the deregulated FGF/FGFR system were investigated by the simulation of an insufficient blood supply. When HCC-1.2, HepG2, or Hep3B cells were subjected to serum withdrawal or the hypoxia-mimetic drug deferoxamine mesylate, the expression of FGF8 subfamily members increased dramatically. In the serum-starved cells, the incidence of apoptosis was elevated, whereas the addition of FGF8, FGF17, or FGF18 impaired apoptosis, which was associated with phosphorylation of extracellular signal-regulated kinase 1/2 and ribosomal protein S6. In contrast, down-modulation of FGF18 by small interfering RNA (siRNA) significantly reduced the viability of the hepatocarcinoma cells. siRNA targeting FGF18 also impaired the cells' potential to form clones at a low cell density or in soft agar. With respect to the tumor microenvironment, FGF17 and FGF18 stimulated the growth of HCC-derived myofibroblasts, and FGF8, FGF17, and FGF18 induced the proliferation and tube formation of hepatic endothelial cells. Conclusion: FGF8, FGF17, and FGF18 are involved in autocrine and paracrine signaling in HCC and enhance the survival of tumor cells under stress conditions, malignant behavior, and neoangiogenesis. Thus, the FGF8 subfamily supports the development and progression of hepatocellular malignancy. (HEPATOLOGY 2011;53:854-864) H epatocellular carcinoma (HCC) is the thirdleading cause of cancer deaths worldwide. 1 Important risk factors for this disease are persistent infections with hepatitis viruses and chronic steatohepatitis due to ethanol abuse and obesity, which contribute to the increasing incidence of HCC in Abbreviations: AHR, aryl hydrocarbon receptor; AKT, protein kinase B; ERK, extracellular signal-regulated kinase; ETS, E twenty-six; FACS, fluorescenceactivated cell sorting; FBS, fetal bovine serum; FCS, fetal colf serum; FGF, fibroblast growth factor; FGFR, fibroblast growth factor receptor; GSK3b, glycogen synthase kinase 3b; HCC, hepatocellular carcinoma; HIF, hypoxia inducible factor; MAP, mitogen-activated protein; MF, myofibroblast; mRNA, messenger RNA; MTF, metal-responsive transcription factor; pERK, phosphorylated extracellular signal-regulated kinase; pGSK3b, phosphorylated glycogen synthase kinase 3b; pS6, phosphorylated S6; qRT-PCR, quantitative reverse-transcriptase polymerase chain reaction; siFGF18, small interfering RNA targeting fibroblast growth factor 18; siRNA, small interfering RNA;...

Research Methods and Procedures:Within a cluster-sampled quasi-randomized controlled trial, 1764 children at 6 and 10 years of age were assessed between 1996 and 2005 in 32 primary schools in Kiel, North Germany. Six nutrition units followed by 20-minute running games were performed within the first year at school. Prevalence, incidence, and remission of overweight were main outcome measures. Results: The 4-year change in BMI was ϩ11.6%, with increases in prevalence of overweight and obesity from 5.2% to 11.1% and 3.9% to 5.1%, respectively. Cumulative 4-year incidence of overweight and obesity was 9.2% and 3.1%, respectively. Intervention had no effect on mean BMI. The effect on prevalence was significant in children from families with high socioeconomic status [odds ratio (OR), 0.35; 95% confidence interval (CI), 0.14 to 0.91] and marginally significant in children of normal-weight mothers (OR, 0.57; 95% CI, 0.33 to 1.00). Cumulative 4-year incidence of overweight was lower only in intervention children from families with high socioeconomic status (OR, 0.26; 95% CI, 0.07 to 0.87). Remission of overweight was most pronounced in children of normal-weight mothers (OR, 5.43; 95% CI, 1.28 to 23.01). Prevalence of underweight was unchanged. The intervention had minor but favorable effects on lifestyle. Discussion: A school-based health promotion has sustainable effects on remission and incidence of overweight; it was most pronounced in children of normal-weight mothers and children from families with high socioeconomic status. There was no effect on obesity. The data argue in favor of additional measures of prevention.