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Arf is a key mammalian tumor suppressor gene known to be activated in response to aberrant mitogenic signals leading to both p53-dependent and -independent effects. We recently uncovered a new and somewhat unexpected function for mouse Arf as a regulator of mural cell accumulation within an ocular vascular bed destined to regress in the postnatal period. We found that the Arf gene product, p19(Arf), blocks mural cell proliferation driven by Platelet-derived growth factor receptor beta (Pdgfrbeta) in the developing vitreous. In vivo studies and analyses of cultured cells indicate that p19(Arf) dampens the expression of Pdgfrbeta. In cultured mouse embryo fibroblasts, p19(Arf) accomplishes this independently of two established effectors - Mdm2 and p53. Our findings indicating that p19(Arf) responds to specific developmental cues to disrupt Pdgfrbeta signaling in the developing eye extend existing paradigms for Arf tumor suppressor gene biology.

We have established that the Arf tumor suppressor gene regulates mural cell biology in the hyaloid vascular system (HVS) of the developing eye. In the absence of Arf, perivascular cells accumulate within the HVS and prevent its involution. We now demonstrate that mural cell accumulation evident at embryonic day (E) 13.5 in Arf(-/-) mice was driven by excess proliferation at E12.5, when Arf expression was detectable in vitreous pericyte-like cells. Their expression of Arf overlapped with Pdgf receptor beta (Pdgfrbeta), which is essential for pericyte accumulation in the mouse. In cultured cells, p19Arf decreased Pdgfrbeta and blocked Pdgf-B-driven proliferation independently of Mdm2 and p53. The presence of a normal Arf allele correlated with decreased Pdgfrbeta in the embryonic vitreous. Pdgfrbeta was required for vitreous cell accumulation in the absence of Arf. Our findings demonstrate a novel, p53- and Mdm2-independent function for p19Arf. Instead of solely sensing excessive mitogenic stimuli, developmental cues induce Arf to block Pdgfrbeta-dependent signals and prevent the accumulation of perivascular cells selectively in a vascular bed destined to regress.

To investigate changes in gene expression associated with ERBB2, expression profiling of immortalized human mammary luminal epithelial cells and variants expressing a moderate and high level of ERBB2 has been carried out using cDNA microarrays corresponding to approximately 6000 unique genes/ESTs. A total of 61 significantly up- or downregulated (2.0-fold) genes were identified and further validated by RT-PCR analysis as well as microarray comparisons with a spontaneously ERBB2- overexpressing breast cancer cell line and ERBB2-positive primary breast tumors. The expression and clinical relevance of proteins predicted to be associated with ERBB2 overexpression in breast cancers were analysed together with their clinical relevance by antibody screening using a tissue array. Differentially regulated genes include those involved in cell-matrix interactions including proline 4-hydroxylase (P4HA2), galectin 1 (LGALS1) and galectin 3 (LGALS3), fibronectin 1 (FN1) and p-cadherin (CDH3), and cell proliferation (CRIP1, IGFBP3) and transformation (S100P, S100A4). A number of genes associated with MYC signalling were also differentially expressed, including NDRG1, USF2 and the epithelial membrane proteins 1 and 3 (EMP1, EMP3). These data represent profiles of the transcriptional changes associated with ERBB2-related pathways in the breast, and identify novel and potentially useful targets for prognosis and therapy.

Using cDNA fragments from the FAPESP/lICR Cancer Genome Project, we constructed a cDNA array having 4512 elements and determined gene expression in six normal and six tumor gastric tissues. Using t-statistics, we identified 80 cDNAs whose expression in normal and tumor samples differed more than 3.5 sample standard deviations. Using Self-Organizing Map, the expression profile of these cDNAs allowed perfect separation of malignant and non-malignant samples. Using the supervised learning procedure Support Vector Machine, we identified trios of cDNAs that could be used to classify samples as normal or tumor, based on single-array analysis. Finally, we identified genes with altered linear correlation when their expression in normal and tumor samples were compared. Further investigation concerning the function of these genes could contribute to the understanding of gastric carcinogenesis and may prove useful in molecular diagnostics.

Deregulation of protein translation is a common event in cancer and occurs frequently as a result of mutational activation of the AKT signaling pathway. We had previously reported the in vivo oncogenic activity of the translation initiation factor eIF4E, which acts downstream AKT and mTOR. We now identified an absolute requirement for Ser209 phosphorylation by the MNK1/2 kinases for eIF4E's oncogenic action. MNK1/2 kinases are dispensable for normal development in mammals. This potential difference between normal and cancer cells may provide a therapeutic avenue for targeting translational requirements in cancer.

The AKT–mTOR pathway harbors several known and putative oncogenes and tumor suppressors. In a phenotypic screen for lymphomagenesis, we tested candidate genes acting upstream of and downstream from mTOR in vivo. We find that Rheb, a proximal activator of mTORC1, can produce rapid development of aggressive and drug-resistant lymphomas. Rheb causes mTORC1-dependent effects on apoptosis, senescence, and treatment responses that resemble those of Akt. Moreover, Rheb activity toward mTORC1 requires farnesylation and is readily blocked by a pharmacological inhibitor of farnesyltransferase (FTI). In Pten-deficient tumor cells, inhibition of Rheb by FTI is responsible for the drug’s anti-tumor effects, such that a farnesylation-independent mutant of Rheb renders these tumors resistant to FTI therapy. Notably, RHEB is highly expressed in some human lymphomas, resulting in mTORC1 activation and increased sensitivity to rapamycin and FTI. Downstream from mTOR, we examined translation initiation factors that have been implicated in transformation in vitro. Of these, only eIF4E was able to enhance lymphomagenesis in vivo. In summary, the Rheb GTPase is an oncogenic activity upstream of mTORC1 and eIF4E and a direct therapeutic target of farnesyltransferase inhibitors in cancer.

Preclinical studies have shown the potential antitumour efficacy of monoclonal antibodies (MAbs) directed to the epidermal growth factor receptor (EGFR). In this report, we investigated the cytotoxic effects of the MAb matuzumab (EMD 72000) towards A431 cells and compared it to cetuximab. While cetuximab induced cell cycle arrest and inhibited A431 cell proliferation, matuzumab did not. Both MAbs inhibited growth factor induced EGFR, HER2 and AKT phosphorylation; however, only cetuximab inhibited ERK 1/2 phosphorylation. Taken together, the data indicate that each antibody may elicit different responses on EGFR downstream signalling pathways with a distinct impact on A431 cell line survival. When combined, MAbs synergistically inhibited cell proliferation and induced EGFR down-regulation with a strong inhibition of ERK1/2 and AKT phosphorylation. In addition, both MAbs efficiently inhibited VEGF expression and induced ADCC, highlighting their therapeutic potential in vivo when used either as a single agent or in combination.

The emergence of dengue hemorrhagic fever in Sri Lanka in 1989 correlated with the appearance of a genetic variant of Dengue 3 virus (DENV-3) subtype III (group B), closely related to the endemic group A variant. We studied the 5' and 3' non-coding regions (NCRs) of 15 DENV-3 subtype III isolates from Sri Lanka, Nicaragua and Martinique and found variability in the 3' NCRs. This included an 11-nucleotide insertion common to all isolates examined and two nucleotide differences that segregated viruses geographically into an American and a Sri Lankan group. Comparisons also identified three nucleotide differences shared by all group A Sri Lankan DENV-3 III isolates linked to mild disease epidemics but not group B Sri Lankan and group B-associated American isolates linked to severe disease epidemics. Clustering of the Latin American/Caribbean isolates with Sri Lankan group B DENV-3 in phylogenetic analyses supports the proposed common East African origin for all these strains and confirms the use of the 3' NCR for molecular epidemiologic studies of DENV-3. The differences in the 3' NCRs reported here, as well as potential alterations in the structural and non-structural coding genes, may contribute to the increased pathogenicity of group B DENV-3.

Genetically engineered mouse models are powerful tools for studying cancer genes and validating targets for cancer therapy. We previously used a mouse lymphoma model to demonstrate that the translation initiation factor eIF4E is a potent oncogene in vivo. Using the same model, we now show that the oncogenic activity of eIF4E correlates with its ability to activate translation and become phosphorylated on Ser 209. Furthermore, constitutively activated MNK1, an eIF4E Ser 209 kinase, promotes tumorigenesis in a manner similar to eIF4E, and a dominant-negative MNK mutant inhibits the in vivo proliferation of tumor cells driven by mutations that deregulate translation. Phosphorylated eIF4E promotes tumorigenesis primarily by suppressing apoptosis and, accordingly, the anti-apoptotic protein Mcl-1 is one target of both phospho-eIF4E and MNK1 that contributes to tumor formation. Our results provide insight into how eIF4E contributes to tumorigenesis and pinpoint a level of translational control that may be suitable for therapeutic intervention.

Limiting amounts of RNA is a major issue in cDNA microarray, especially when one is dealing with fresh tissue samples. Here we describe a protocol based on template switch and T7 amplification that led to efficient and linear amplification of 1300×. Using a glass-array containing 368 genes printed in three or six replicas covering a wide range of expression levels and ratios, we determined quality and reproducibility of the data obtained from one nonamplified and two independently amplified RNAs (aRNA) derived from normal and tumor samples using replicas with dye exchange (dye-swap measurements). Overall, signal-to-noise ratio improved when we used aRNA (1.45-fold for channel 1 and 2.02-fold for channel 2), increasing by 6% the number of spots with meaningful data. Measurements arising from independent aRNA samples showed strong correlation among themselves ( r 2 =0.962) and with those from the nonamplified sample ( r 2 =0.975), indicating the reproducibility and fidelity of the amplification procedure. Measurement differences, i.e, spots with poor correlation between amplified and nonamplified measurements, did not show association with gene sequence, expression intensity, or expression ratio and can, therefore, be compensated with replication. In conclusion, aRNA can be used routinely in cDNA microarray analysis, leading to improved quality of data with high fidelity and reproducibility.