Gastric cancer is classified into intestinal and diffuse types, the latter including a highly malignant form, linitis plastica. A two-stage genome-wide association study (stage 1: 85,576 SNPs on 188 cases and 752 references; stage 2: 2,753 SNPs on 749 cases and 750 controls) in Japan identified a significant association between an intronic SNP (rs2976392) in PSCA (prostate stem cell antigen) and diffuse-type gastric cancer (allele-specific odds ratio (OR) = 1.62, 95% CI = 1.38-1.89, P = 1.11 x 10(-9)). The association was far less significant in intestinal-type gastric cancer. We found that PSCA is expressed in differentiating gastric epithelial cells, has a cell-proliferation inhibition activity in vitro and is frequently silenced in gastric cancer. Substitution of the C allele with the risk allele T at a SNP in the first exon (rs2294008, which has r(2) = 0.995, D' = 0.999 with rs2976392) reduces transcriptional activity of an upstream fragment of the gene. The same risk allele was also significantly associated with diffuse-type gastric cancer in 457 cases and 390 controls in Korea (allele-specific OR = 1.90, 95% CI = 1.56-2.33, P = 8.01 x 10(-11)). The polymorphism of the PSCA gene, which is possibly involved in regulating gastric epithelial-cell proliferation, influences susceptibility to diffuse-type gastric cancer.

Identification of driver genes contributes to the understanding of cancer etiology and is imperative for the development of individualized therapies. Gene amplification is a major event in oncogenesis. Driver genes with tumor-specific amplification-dependent overexpression can be therapeutic targets. In this study, we aimed to identify amplification-dependent driver genes in 1,454 solid tumors, across more than 15 cancer types, by integrative analysis of gene expression and copy number. Amplification-dependent overexpression of 64 known driver oncogenes were found in 587 tumors (40%); genes frequently observed were MYC (25%) and MET (18%) in colorectal cancer; SKP2 (21%) in lung squamous cell carcinoma; HIST1H3B (19%) and MYCN (13%) in liver cancer; KIT (57%) in gastrointestinal stromal tumors; and FOXL2 (12%) in squamous cell carcinoma across tissues. Genomic aberrations in 138 known cancer driver genes and 491 established fusion genes were found in 1,127 tumors (78%). Further analyses of 820 cancer-related genes revealed 16 as potential driver genes, with amplification-dependent overexpression restricted to the remaining 22% of samples (327 tumors) initially undetermined genetic drivers. Among them, AXL, which encodes a receptor tyrosine kinase, was recurrently overexpressed and amplified in sarcomas. Our studies of amplification-dependent overexpression identified potential drug targets in individual tumors.

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Targeting of gene transfer at the level of cell entry is one of the most attractive challenges in vector development. However, attempts to redirect adenovirus vectors to alternative receptors by engineering the capsid-coding region have shown limited success because proper targeting ligand-receptor systems on the cells of interest are generally unknown. Systematic approaches to generate adenovirus vectors targeting any given cell type need to be developed to achieve this goal. Here, we constructed an adenovirus library that was generated by a Cre-lox-mediated in vitro recombination between an adenoviral fiber-modified plasmid library and genomic DNA to display random peptides on a fiber knob. As proof of concept, we screened the adenovirus display library on a glioma cell line and observed selection of several particular peptide sequences. The targeted vector carrying the most frequently isolated peptide significantly enhanced gene transduction in the glioma cell line but not in many other cell lines. Because the insertion of a pre-selected peptide into a fiber knob often fails to generate an adenovirus vector, the selection of targeting peptides is highly useful in the context of the adenoviral capsid. This vector-screening system can facilitate the development of a targeted adenovirus vector for a variety of applications in medicine.

A conditionally replicative adenovirus is a novel anticancer agent designed to replicate selectively in tumor cells. However, a leak of the virus into systemic circulation from the tumors often causes ectopic infection of various organs. Therefore, suppression of naive viral tropism and addition of tumor-targeting potential are necessary to secure patient safety and increase the therapeutic effect of an oncolytic adenovirus in the clinical setting. We have recently developed a direct selection method of targeted vector from a random peptide library displayed on an adenoviral fiber knob to overcome the limitation that many cell type-specific ligands for targeted adenovirus vectors are not known. Here we examined whether the addition of a tumor-targeting ligand to a replication-competent adenovirus ablated for naive tropism enhances its therapeutic index. First, a peptide-display adenovirus library was screened on a pancreatic cancer cell line (AsPC-1), and particular peptide sequences were selected. The replication-competent adenovirus displaying the selected ligand (AdDCAR-SYE) showed higher oncolytic potency in several other pancreatic caner cell lines as well as AsPC-1 compared with the untargeted adenovirus (AdDCAR). An intratumoral injection of AdDCAR-SYE significantly suppressed the growth of AsPC-1 subcutaneous tumors, and an analysis of adenovirus titer in the tumors revealed an effective replication of the virus in the tumors. Ectopic liver gene transduction following the intratumoral injection of AdDCAR-SYE was not increased compared with the AdDCAR. The results showed that a tumor-targeting strategy using an adenovirus library is promising for optimizing the safety and efficacy of oncolytic adenovirus therapy.