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Featured researches published by Spyro Mousses.


Nature | 2007

A Transforming Mutation in the Pleckstrin Homology Domain of Akt1 in Cancer.

John D. Carpten; Andrew L. Faber; Candice Horn; Gregory P. Donoho; Stephen L. Briggs; Christiane M. Robbins; Galen Hostetter; Sophie Boguslawski; Tracy Moses; Stephanie Savage; Mark Uhlik; Aimin Lin; Jian Du; Yue-Wei Qian; Douglas J. Zeckner; Greg Tucker-Kellogg; Jeffrey W. Touchman; Ketan Patel; Spyro Mousses; Michael L. Bittner; Richard W. Schevitz; Mei-Huei T. Lai; Kerry Blanchard; James E. Thomas

Although AKT1 (v-akt murine thymoma viral oncogene homologue 1) kinase is a central member of possibly the most frequently activated proliferation and survival pathway in cancer, mutation of AKT1 has not been widely reported. Here we report the identification of a somatic mutation in human breast, colorectal and ovarian cancers that results in a glutamic acid to lysine substitution at amino acid 17 (E17K) in the lipid-binding pocket of AKT1. Lys 17 alters the electrostatic interactions of the pocket and forms new hydrogen bonds with a phosphoinositide ligand. This mutation activates AKT1 by means of pathological localization to the plasma membrane, stimulates downstream signalling, transforms cells and induces leukaemia in mice. This mechanism indicates a direct role of AKT1 in human cancer, and adds to the known genetic alterations that promote oncogenesis through the phosphatidylinositol-3-OH kinase/AKT pathway. Furthermore, the E17K substitution decreases the sensitivity to an allosteric kinase inhibitor, so this mutation may have important clinical utility for AKT drug development.


Nature Genetics | 2004

Nonsense-mediated decay microarray analysis identifies mutations of EPHB2 in human prostate cancer

Pia Huusko; Damaris Ponciano-Jackson; Maija Wolf; Jeff Kiefer; David O. Azorsa; Sukru Tuzmen; Don Weaver; Christiane M. Robbins; Tracy Moses; Minna Allinen; Sampsa Hautaniemi; Yidong Chen; Abdel G. Elkahloun; Mark Basik; G. Steven Bova; Lukas Bubendorf; Alessandro Lugli; Guido Sauter; Johanna Schleutker; Hilmi Ozcelik; Sabine Elowe; Tony Pawson; Jeffrey M. Trent; John D. Carpten; Olli Kallioniemi; Spyro Mousses

The identification of tumor-suppressor genes in solid tumors by classical cancer genetics methods is difficult and slow. We combined nonsense-mediated RNA decay microarrays and array-based comparative genomic hybridization for the genome-wide identification of genes with biallelic inactivation involving nonsense mutations and loss of the wild-type allele. This approach enabled us to identify previously unknown mutations in the receptor tyrosine kinase gene EPHB2. The DU 145 prostate cancer cell line, originating from a brain metastasis, carries a truncating mutation of EPHB2 and a deletion of the remaining allele. Additional frameshift, splice site, missense and nonsense mutations are present in clinical prostate cancer samples. Transfection of DU 145 cells, which lack functional EphB2, with wild-type EPHB2 suppresses clonogenic growth. Taken together with studies indicating that EphB2 may have an essential role in cell migration and maintenance of normal tissue architecture, our findings suggest that mutational inactivation of EPHB2 may be important in the progression and metastasis of prostate cancer.


Neoplasia | 2004

High-resolution analysis of gene copy number alterations in human prostate cancer using CGH on cDNA microarrays: impact of copy number on gene expression.

Maija Wolf; Spyro Mousses; Sampsa Hautaniemi; Ritva Karhu; Pia Huusko; Minna Allinen; Abdel G. Elkahloun; Outi Monni; Yidong Chen; Anne Kallioniemi; Olli P. Kallioniemi

Identification of target genes for genetic rearrangements in prostate cancer and the impact of copy number changes on gene expression are currently not well understood. Here, we applied high-resolution comparative genomic hybridization (CGH) on cDNA microarrays for analysis of prostate cancer cell lines. CGH microarrays identified most of the alterations detected by classic chromosomal CGH, as well as a number of previously unreported alterations. Specific recurrent regions of gain (28) and loss (18) were found, and their boundaries defined with sub-megabasepair accuracy. The most common changes included copy number decreases at 13q, and gains at 1q and 5p. Refined mapping identified several sites, such as at 13q (33-44, 49-51, and 74-76 Mbp from the p-telomere), which matched with minimal regions of loss seen in extensive loss of heterozygosity mapping studies of large numbers of tumors. Previously unreported recurrent changes were found at 2p, 2q, 3p, and 17q (losses), and at 3q, 5p, and 6p (gains). Integration of genomic and transcriptomic data revealed the role of individual candidate target genes for genomic alterations as well as a highly significant (P <.0001) overall association between copy number levels and the percentage of differentially expressed genes. Across the genome, the overall impact of copy number on gene expression levels was, to a large extent, attributable to low-level gains and losses of copy number, corresponding to common deletions and gains of often large chromosomal regions.


Molecular Cancer Therapeutics | 2013

Genome and Transcriptome Sequencing in Prospective Metastatic Triple-Negative Breast Cancer Uncovers Therapeutic Vulnerabilities

David Craig; Joyce O'Shaughnessy; Jeffrey Kiefer; Jessica Aldrich; Shripad Sinari; Tracy M. Moses; Shukmei Wong; Jennifer Dinh; Alexis Christoforides; Joanne L. Blum; Cristi L Aitelli; Cynthia Osborne; Tyler Izatt; Ahmet Kurdoglu; Angela Baker; Julie Koeman; Catalin Barbacioru; Onur Sakarya; Francisco M. De La Vega; Asim Siddiqui; Linh Hoang; Paul R. Billings; Bodour Salhia; Anthony W. Tolcher; Jeffrey M. Trent; Spyro Mousses; Daniel D. Von Hoff; John D. Carpten

Triple-negative breast cancer (TNBC) is characterized by the absence of expression of estrogen receptor, progesterone receptor, and HER-2. Thirty percent of patients recur after first-line treatment, and metastatic TNBC (mTNBC) has a poor prognosis with median survival of one year. Here, we present initial analyses of whole genome and transcriptome sequencing data from 14 prospective mTNBC. We have cataloged the collection of somatic genomic alterations in these advanced tumors, particularly those that may inform targeted therapies. Genes mutated in multiple tumors included TP53, LRP1B, HERC1, CDH5, RB1, and NF1. Notable genes involved in focal structural events were CTNNA1, PTEN, FBXW7, BRCA2, WT1, FGFR1, KRAS, HRAS, ARAF, BRAF, and PGCP. Homozygous deletion of CTNNA1 was detected in 2 of 6 African Americans. RNA sequencing revealed consistent overexpression of the FOXM1 gene when tumor gene expression was compared with nonmalignant breast samples. Using an outlier analysis of gene expression comparing one cancer with all the others, we detected expression patterns unique to each patients tumor. Integrative DNA/RNA analysis provided evidence for deregulation of mutated genes, including the monoallelic expression of TP53 mutations. Finally, molecular alterations in several cancers supported targeted therapeutic intervention on clinical trials with known inhibitors, particularly for alterations in the RAS/RAF/MEK/ERK and PI3K/AKT/mTOR pathways. In conclusion, whole genome and transcriptome profiling of mTNBC have provided insights into somatic events occurring in this difficult to treat cancer. These genomic data have guided patients to investigational treatment trials and provide hypotheses for future trials in this irremediable cancer. Mol Cancer Ther; 12(1); 104–16. ©2012 AACR.


Oncogene | 2001

Failure of hormone therapy in prostate cancer involves systematic restoration of androgen responsive genes and activation of rapamycin sensitive signaling

Spyro Mousses; Urs Wagner; Yidong Chen; Jin Woo Kim; Lukas Bubendorf; Michael L. Bittner; Thomas G. Pretlow; Abdel G. Elkahloun; Jane B. Trepel; Olli Kallioniemi

Androgen deprivation therapy for advanced prostate cancer is often effective, but not curative. Molecular pathways mediating the therapeutic response and those contributing to the subsequent hormone-refractory cell growth remain poorly understood. Here, cDNA microarray analysis of human CWR22 prostate cancer xenografts during the course of androgen deprivation therapy revealed distinct global gene expression profiles in primary, regressing and recurrent tumors. Elucidation of the genes involved in the transition between these states implicated specific molecular mechanisms in therapy failure and tumor progression. First, we identified a set of androgen-responsive genes whose expression decreased during the therapy response, but was then systematically restored in the recurrent tumors. In addition, altered expression of genes that encode known targets of rapamycin or that converge on the PI3K/AKT/FRAP pathway was observed in the recurrent tumors. Further suggestion for the involvement of these genes in hormone-refractory prostate cancer came from the observation that cells established from the recurrent xenografts were strongly inhibited in vitro by rapamycin. The results of this functional genomic analysis suggest that the combined effect of re-expression of androgen-responsive genes as well as the activation of rapamycin-sensitive signaling may drive prostate cancer progression, and contribute to the failure of androgen-deprivation therapy.


Proceedings of the National Academy of Sciences of the United States of America | 2011

Advancing a clinically relevant perspective of the clonal nature of cancer

Christian Ruiz; Elizabeth Lenkiewicz; Lisa Evers; Tara Holley; Alex Robeson; Jeffrey Kiefer; Michael J. Demeure; Michael A. Hollingsworth; Michael Shen; Donna Prunkard; Peter S. Rabinovitch; Tobias Zellweger; Spyro Mousses; Jeffrey M. Trent; John D. Carpten; Lukas Bubendorf; Daniel D. Von Hoff; Michael T. Barrett

Cancers frequently arise as a result of an acquired genomic instability and the subsequent clonal evolution of neoplastic cells with variable patterns of genetic aberrations. Thus, the presence and behaviors of distinct clonal populations in each patients tumor may underlie multiple clinical phenotypes in cancers. We applied DNA content-based flow sorting to identify and isolate the nuclei of clonal populations from tumor biopsies, which was coupled with array CGH and targeted resequencing. The results produced high-definition genomic profiles of clonal populations from 40 pancreatic adenocarcinomas and a set of prostate adenocarcinomas, including serial biopsies from a patient who progressed to androgen-independent metastatic disease. The genomes of clonal populations were found to have patient-specific aberrations of clinical relevance. Furthermore, we identified genomic aberrations specific to therapeutically responsive and resistant clones arising during the evolution of androgen-independent metastatic prostate adenocarcinoma. We also distinguished divergent clonal populations within single biopsies and mapped aberrations in multiple aneuploid populations arising in primary and metastatic pancreatic adenocarcinoma. We propose that our high-definition analyses of the genomes of distinct clonal populations of cancer cells in patients in vivo can help guide diagnoses and tailor approaches to personalized treatment.


Journal of Translational Medicine | 2009

Synthetic lethal RNAi screening identifies sensitizing targets for gemcitabine therapy in pancreatic cancer

David O. Azorsa; Irma M. Gonzales; Gargi D. Basu; Ashish Choudhary; Shilpi Arora; Kristen M. Bisanz; Jeffrey Kiefer; Meredith C. Henderson; Jeffrey M. Trent; Daniel D. Von Hoff; Spyro Mousses

BackgroundPancreatic cancer retains a poor prognosis among the gastrointestinal cancers. It affects 230,000 individuals worldwide, has a very high mortality rate, and remains one of the most challenging malignancies to treat successfully. Treatment with gemcitabine, the most widely used chemotherapeutic against pancreatic cancer, is not curative and resistance may occur. Combinations of gemcitabine with other chemotherapeutic drugs or biological agents have resulted in limited improvement.MethodsIn order to improve gemcitabine response in pancreatic cancer cells, we utilized a synthetic lethal RNAi screen targeting 572 known kinases to identify genes that when silenced would sensitize pancreatic cancer cells to gemcitabine.ResultsResults from the RNAi screens identified several genes that, when silenced, potentiated the growth inhibitory effects of gemcitabine in pancreatic cancer cells. The greatest potentiation was shown by siRNA targeting checkpoint kinase 1 (CHK1). Validation of the screening results was performed in MIA PaCa-2 and BxPC3 pancreatic cancer cells by examining the dose response of gemcitabine treatment in the presence of either CHK1 or CHK2 siRNA. These results showed a three to ten-fold decrease in the EC50 for CHK1 siRNA-treated cells versus control siRNA-treated cells while treatment with CHK2 siRNA resulted in no change compared to controls. CHK1 was further targeted with specific small molecule inhibitors SB 218078 and PD 407824 in combination with gemcitabine. Results showed that treatment of MIA PaCa-2 cells with either of the CHK1 inhibitors SB 218078 or PD 407824 led to sensitization of the pancreatic cancer cells to gemcitabine.ConclusionThese findings demonstrate the effectiveness of synthetic lethal RNAi screening as a tool for identifying sensitizing targets to chemotherapeutic agents. These results also indicate that CHK1 could serve as a putative therapeutic target for sensitizing pancreatic cancer cells to gemcitabine.


Oncogene | 2012

An integrated genomic approach identifies ARID1A as a candidate tumor-suppressor gene in breast cancer

A Mamo; L Cavallone; Sukru Tuzmen; C Chabot; C Ferrario; S Hassan; Henrik Edgren; Olli Kallioniemi; O Aleynikova; E Przybytkowski; K Malcolm; Spyro Mousses; Patricia N. Tonin; Mark Basik

Tumor-suppressor genes (TSGs) have been classically defined as genes whose loss of function in tumor cells contributes to the formation and/or maintenance of the tumor phenotype. TSGs containing nonsense mutations may not be expressed because of nonsense-mediated RNA decay (NMD). We combined inhibition of the NMD process, which clears transcripts that contain nonsense mutations, with the application of high-density single-nucleotide polymorphism arrays analysis to discriminate allelic content in order to identify candidate TSGs in five breast cancer cell lines. We identified ARID1A as a target of NMD in the T47D breast cancer cell line, likely as a consequence of a mutation in exon-9, which introduces a premature stop codon at position Q944. ARID1A encodes a human homolog of yeast SWI1, which is an integral member of the hSWI/SNF complex, an ATP-dependent, chromatin-remodeling, multiple-subunit enzyme. Although we did not find any somatic mutations in 11 breast tumors, which show DNA copy-number loss at the 1p36 locus adjacent to ARID1A, we show that low ARID1A RNA or nuclear protein expression is associated with more aggressive breast cancer phenotypes, such as high tumor grade, in two independent cohorts of over 200 human breast cancer cases each. We also found that low ARID1A nuclear expression becomes more prevalent during the later stages of breast tumor progression. Finally, we found that ARID1A re-expression in the T47D cell line results in significant inhibition of colony formation in soft agar. These results suggest that ARID1A may be a candidate TSG in breast cancer.


Clinical Cancer Research | 2005

EphB2 expression across 138 human tumor types in a tissue microarray : High levels of expression in gastrointestinal cancers

Alessandro Lugli; Hanspeter Spichtin; Robert Maurer; Martina Mirlacher; Jeff Kiefer; Pia Huusko; David O. Azorsa; Luigi Terracciano; Guido Sauter; Olli-P. Kallioniemi; Spyro Mousses; Luigi Tornillo

Purpose: To comprehensively evaluate ephrin receptor B2 (EphB2) expression in normal and neoplastic tissues. EphB2 is a tyrosine kinase recently implicated in the deregulation of cell-to-cell communication in many tumors. Experimental Design: EphB2 protein expression was analyzed by immunohistochemistry on tissue microarrays that included 76 different normal tissues, >4,000 samples from 138 different cancer types, and 1,476 samples of colon cancer with clinical follow-up data. Results: We found most prominent EphB2 expression in the intestinal epithelium (colonic crypts) with cancer of the colorectum displaying the highest EphB2 positivity of all tumors. Positivity was found in 100% of 118 colon adenomas but in 33.3% of 45 colon carcinomas. EphB2 expression was also observed in 75 tumor categories, including serous carcinoma of the endometrium (34.8%), adenocarcinoma of the esophagus (33.3%), intestinal adenocarcinoma of the stomach (30.2%), and adenocarcinoma of the small intestine (70%). The occasional finding of strong EphB2 positivity in tumors without EphB2 positivity in the corresponding normal cells [adenocarcinoma of the lung (4%) and pancreas (2.2%)] suggests that deregulation of EphB2 signaling may involve up-regulation of the protein expression. In colon carcinoma, loss of EphB2 expression was associated with advanced stage (P < 0.0001) and was an indicator of poor overall survival (P = 0.0098). Conclusions: Our results provide an overview on the EphB2 protein expression in normal and neoplastic tissues. Deregulated EphB2 expression may play a role in several cancer types with loss of EphB2 expression serving as an indicator of the possible pathogenetic role of EphB2 signaling in the maintenance of tissue architecture of colon epithelium.


Annals of the New York Academy of Sciences | 2003

Short interfering RNA (siRNA)-mediated RNA interference (RNAi) in human cells.

Natasha J. Caplen; Spyro Mousses

Abstract: Transient gene silencing in mammalian cells can be mediated by double stranded RNA (dsRNAs) molecules of ∼20–25 nucleotides termed short interfering (siRNAs). Naturally occurring siRNAs in lower eukaryotes have characteristic structural elements; however, little is known about what features are critical for an exogenous siRNA to mediate RNAi in mammals. We have recently determined some of the critical parameters that influence the efficiency of siRNA‐mediated RNAi in mammalian cells and have been considering the use of RNAi as a functional genomics tool, particularly for high throughput analysis, and the potential use of RNAi as a therapeutic tool.

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David O. Azorsa

Translational Genomics Research Institute

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Jeffrey M. Trent

Translational Genomics Research Institute

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Jeffrey Kiefer

Translational Genomics Research Institute

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Daniel D. Von Hoff

Translational Genomics Research Institute

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John D. Carpten

University of Southern California

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Jeff Kiefer

Translational Genomics Research Institute

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Sukru Tuzmen

Translational Genomics Research Institute

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