Kumaresan Ganesan

Oncogenic pathway combinations predict clinical prognosis in gastric cancer.

Many solid cancers are known to exhibit a high degree of heterogeneity in their deregulation of different oncogenic pathways. We sought to identify major oncogenic pathways in gastric cancer (GC) with significant relationships to patient survival. Using gene expression signatures, we devised an in silico strategy to map patterns of oncogenic pathway activation in 301 primary gastric cancers, the second highest cause of global cancer mortality. We identified three oncogenic pathways (proliferation/stem cell, NF-kappaB, and Wnt/beta-catenin) deregulated in the majority (>70%) of gastric cancers. We functionally validated these pathway predictions in a panel of gastric cancer cell lines. Patient stratification by oncogenic pathway combinations showed reproducible and significant survival differences in multiple cohorts, suggesting that pathway interactions may play an important role in influencing disease behavior. Individual GCs can be successfully taxonomized by oncogenic pathway activity into biologically and clinically relevant subgroups. Predicting pathway activity by expression signatures thus permits the study of multiple cancer-related pathways interacting simultaneously in primary cancers, at a scale not currently achievable by other platforms.

A Precisely Regulated Gene Expression Cassette Potently Modulates Metastasis and Survival in Multiple Solid Cancers

Successful tumor development and progression involves the complex interplay of both pro- and anti-oncogenic signaling pathways. Genetic components balancing these opposing activities are likely to require tight regulation, because even subtle alterations in their expression may disrupt this balance with major consequences for various cancer-associated phenotypes. Here, we describe a cassette of cancer-specific genes exhibiting precise transcriptional control in solid tumors. Mining a database of tumor gene expression profiles from six different tissues, we identified 48 genes exhibiting highly restricted levels of gene expression variation in tumors (n = 270) compared to nonmalignant tissues (n = 71). Comprising genes linked to multiple cancer-related pathways, the restricted expression of this “Poised Gene Cassette” (PGC) was robustly validated across 11 independent cohorts of ∼1,300 samples from multiple cancer types. In three separate experimental models, subtle alterations in PGC expression were consistently associated with significant differences in metastatic and invasive potential. We functionally confirmed this association in siRNA knockdown experiments of five PGC genes (p53CSV, MAP3K11, MTCH2, CPSF6, and SKIP), which either directly enhanced the invasive capacities or inhibited the proliferation of AGS cancer cells. In primary tumors, similar subtle alterations in PGC expression were also repeatedly associated with clinical outcome in multiple cohorts. Taken collectively, these findings support the existence of a common set of precisely controlled genes in solid tumors. Since inducing small activity changes in these genes may prove sufficient to potently influence various tumor phenotypes such as metastasis, targeting such precisely regulated genes may represent a promising avenue for novel anti-cancer therapies.

Inhibition of gastric cancer invasion and metastasis by PLA2G2A, a novel β-catenin/TCF target gene

Elevated expression of the PLA2G2A phospholipase in gastric cancer (GC) is associated with improved patient survival. To elucidate function and regulation of PLA2G2A in GC, we analyzed a panel of GC cell lines. PLA2G2A was specifically expressed in lines with constitutive Wnt activity, implicating beta-catenin-dependent Wnt signaling as a major upstream regulator of PLA2G2A expression. The invasive ability of PLA2G2A-expressing AGS cells was enhanced by PLA2G2A silencing, whereas cellular migration in non-PLA2G2A-expressing N87 cells was inhibited by enforced PLA2G2A expression, indicating that PLA2G2A is both necessary and sufficient to function as an inhibitor of GC invasion in vitro. We provide evidence that antiinvasive effect of PLA2G2A occurs, at least in part, through its ability to inhibit the S100A4 metastasis mediator gene. Consistent with its invasion inhibitor role, PLA2G2A expression was elevated in primary gastric, colon, and prostrate early-stage tumors, but was decreased in metastatic and late-stage tumors. There was a strong association between PLA2G2A promoter methylation status and PLA2G2A expression, suggesting that the loss of PLA2G2A expression in late-stage cancers may be due to epigenetic silencing. Supporting this, among the non-PLA2G2A-expressing lines, pharmacologic inhibition of epigenetic silencing reactivated PLA2G2A in Wnt-active lines, but in non-Wnt-active lines, a combination of Wnt hyperactivation and inhibition of epigenetic silencing were both required for PLA2G2A reactivation. Our results highlight the complexity of PLA2G2A regulation and provide functional evidence for PLA2G2A as an important regulator of invasion and metastasis in GC.

A Modular Analysis of Breast Cancer Reveals a Novel Low-Grade Molecular Signature in Estrogen Receptor–Positive Tumors

Purpose: Previous reports using genome-wide gene expression data to classify breast tumors have typically used standard unsupervised or supervised techniques, both of which have known limitations. We hypothesized that novel clinically relevant information could be revealed in these data sets by an alternative analytic approach. Using a recently described algorithm, signature analysis (SA), we identified “modules,” comprising groups of tightly coexpressed genes that are conditionally linked to particular tumors, in a series of breast tumor gene expression profiles. Experimental Design and Results: The SA successfully identified multiple breast cancer modules specifically linked to distinct biological functions. We identified a novel module, TuM1, whose presence was not readily discernible by conventional clustering techniques. The TuM1 module is expressed in a subset of estrogen receptor (ER)–positive tumors and is significantly enriched with genes involved in apoptosis and cell death. Clinically, TuM1-expressing tumors are associated with low histopathologic grade, and this association is independent of the inherent ER status of a tumor. We confirmed the robustness and general applicability of TuM1 module by demonstrating its association with low tumor grade in multiple independent breast cancer data sets generated using different array technologies. In vitro, the TuM1 module is down-regulated in ER+ MCF7 cells upon treatment with tamoxifen, suggesting that TuM1 expression may be dependent on active signaling by ER. Initial data is also suggestive that TuM1 expression may be clinically associated with a patients response to antihormonal therapy. Conclusion: Our results suggest that modular-based approaches toward gene expression data can prove useful in identifying novel, robust, and biologically relevant signatures even from data sets that have been the subject of substantial prior analysis.

Targets of genome copy number reduction in primary breast cancers identified by integrative genomics

The identification of specific oncogenes and tumor suppressor genes in regions of recurrent aneuploidy is a major challenge of molecular cancer research. Using both oligonucleotide single‐nucleotide polymorphism and mRNA expression arrays, we integrated genomic and transcriptional information to identify and prioritize candidate cancer genes in regions of increased and decreased chromosomal copy number in a cohort of primary breast cancers. Confirming the validity of this approach, several regions of previously‐known copy number (CN) alterations in breast cancer could be successfully reidentified. Focusing on regions of decreased CN, we defined a prioritized list of eighteen candidate genes, which included ARPIN, FBN1, and LZTS1, previously shown to be associated with cancers in breast or other tissue types, and novel genes such as P29, MORF4L1, and TBC1D5. One such gene, the RUNX3 transcription factor, was selected for further study. We show that RUNX3 is present at reduced CNs in proportion to the rest of the tumor genome and that RUNX3 CN reductions can also be observed in a breast cancer series from a different center. Using tissue microarrays, we demonstrate in an independent cohort of over 120 breast tissues that RUNX3 protein is expressed in normal breast epithelium but not fat and stromal tissue, and widely down‐regulated in the majority of breast cancers (>85%). In vitro, RUNX3 overexpression suppressed the invasive potential of MDA‐MB‐231 breast cancer cells in a matrigel assay. Our results demonstrate the utility of integrative genomic approaches to identify novel potential cancer‐related genes in primary tumors. This article contains Supplementary Material available at http://www.interscience.wiley.com/jpages/1045‐2257/suppmat.

Breast tumors with elevated expression of 1q candidate genes confer poor clinical outcome and sensitivity to Ras/PI3K inhibition.

Genomic aberrations are common in cancers and the long arm of chromosome 1 is known for its frequent amplifications in breast cancer. However, the key candidate genes of 1q, and their contribution in breast cancer pathogenesis remain unexplored. We have analyzed the gene expression profiles of 1635 breast tumor samples using meta-analysis based approach and identified clinically significant candidates from chromosome 1q. Seven candidate genes including exonuclease 1 (EXO1) are consistently over expressed in breast tumors, specifically in high grade and aggressive breast tumors with poor clinical outcome. We derived a EXO1 co-expression module from the mRNA profiles of breast tumors which comprises 1q candidate genes and their co-expressed genes. By integrative functional genomics investigation, we identified the involvement of EGFR, RAS, PI3K / AKT, MYC, E2F signaling in the regulation of these selected 1q genes in breast tumors and breast cancer cell lines. Expression of EXO1 module was found as indicative of elevated cell proliferation, genomic instability, activated RAS/AKT/MYC/E2F1 signaling pathways and loss of p53 activity in breast tumors. mRNA–drug connectivity analysis indicates inhibition of RAS/PI3K as a possible targeted therapeutic approach for the patients with activated EXO1 module in breast tumors. Thus, we identified seven 1q candidate genes strongly associated with the poor survival of breast cancer patients and identified the possibility of targeting them with EGFR/RAS/PI3K inhibitors.

Facile synthesis and characterization of bio-organometallic compounds and their biological activity contour against human pathogens

We have reported the synthesis of novel di & trisubstituted pyrroles and their biological activity. Most of the compounds show antibacterial activity towards gram positive and gram negative bacteria. The agar-diffusion method was used for prelude screening studies, which showed a hopeful broad range of antibacterial activity. The minimum inhibitory concentration (MIC) for bacteria was determined by the micro dilution method of selected active compounds. For the same compounds cytotoxicity assay was also performed. The photophysical properties were studied for the selected compounds and their results were suitably supported by DFT computation.

Upregulated, 7q21–22 amplicon candidate gene SHFM1 confers oncogenic advantage by suppressing p53 function in gastric cancer

Chromosomal aberrations are hallmarks of cancers and the locus of frequent genomic amplifications often harbors key cancer driver genes. Many genomic amplicons remain larger with hundreds of genes and the key drivers remain to be identified by an amplification-wide systematic analysis. The 7q21.12-q22.3 genomic amplification is frequent in gastric cancers which occur in ~10% of the patients and multiple cell lines. This 7q21.12-q22.3 amplicon has not yet been completely analyzed towards identifying the driver genes and their functional contribution in oncogenesis. The amplitude and prevalence indicate the important role conferred by this amplicon in gastric cancers. Among the 159 genes of this amplicon, 12 genes are found over-expressed in primary gastric tumors and cell lines. Many of the over-expressed genes show negative association with p53 transcriptional activity. RNAi based functional screening of the genes reveal, SHFM1 as key gastric cancer driver gene. SHFM1 confers cell cycle progression and resistance to p53 stabilizing drugs in gastric cancer cells. SHFM1 also activates Src, MAPK/ERK and PI3K/Akt signaling pathways. This is the first integrative genomic investigation of 7q21.12-q22.3 amplicon revealing the potential oncogenic candidacy of 12 genes. The oncogenic contribution of SHFM1, mediated by the p53 suppressive feature has been demonstrated in gastric cancer cells.

In vitro and preliminary in vivo toxicity screening of high-surface-area TiO2–chondroitin-4-sulfate nanocomposites for bone regeneration application

The goal of this study was to prepare nontoxic, biomimetic TiO2/chondroitin-4-sulfate nanocomposites with osteointegration ability for biomedical applications. Nanocomposites with higher surface area were subjected to bioactivity study and obtained bone-like layer with stoichiometric Ca/P ratio of 1.64 and 1.66. The susceptibility of nanocomposites against Staphylococcus aureus (∼16 mm) and Escherichia coli (∼12 mm) is favorable in preventing the risk of bone diseases and postoperative infections. Adequate swelling and degradations properties were favorably achieved to reduce the risk of nanoparticle accumulation in cell organelles. Moreover, the toxicity in AGS cell line and biocompatibility in osteoblast-like MG-63 cell line showed no significant mitochondrial damage. In addition, the in vitro expression of osteoblast inducing genes (OCN, OPN, ALP and COL 1) and their up-regulation, and 20% of increased hatching rate in preliminary in vivo (zebrafish) analysis were favorable for the nanocomposite at the ratio of 2:0.50 than pure TiO2. Hence, it can be concluded that among the prepared nanocomposites TCs.5 is a promising biomimetic biomaterial that can be used for advanced orthopedic research and other applications.

Stratification and delineation of gastric cancer signaling by in vitro transcription factor activity profiling and integrative genomics

Integrative functional genomic approaches are helpful in delineating the complex dysregulations in cancers. In the present study, in vitro activity profiling of 45 signaling pathway driven transcription factors in eight gastric cancer cell lines and direct comparison with genome-wide profiles of gastric tumors were performed and the integration resulted in the identification of three categories of factors/pathways: i) highly activated signaling pathways that stem from mutations are the critical oncogenic drivers, ii) constitutively activated stress responsive pathways which are activated not due to genetic alterations, and iii) consistently down-regulated nuclear receptor responsive factors. This functional profiling helps in discriminating therapeutic targets and signaling interactions.