Project description:Pediatric embryonal brain tumor (PEBT), which includes medulloblastoma (MB), primitive neuroectodermal tumor (PNET) and atypical teratoid/rhabdoid tumor (AT/RT), is the second most prevalent pediatric tumor type among brain tumors of childhood. AT/RT is highly malignant and is often misdiagnosed as MB and PNET. Distinguishing AT/RT from PNET/MB is of clinical significance since the survival rate of AT/RT patients is much lower. The diagnosis of AT/RT relies primarily on the morphologic assessment and immunohistochemistry (IHC) staining on a few known markers such as the lack of INI1 protein expression. However, in our clinical practice we observed several AT/RT-like tumors, which fulfilled histopathologic and all other biomarker criteria for AT/RT diagnosis, still showed retained INI1 immunoreactivity. Recent studies also reported retained INI1 immunoreactivity among certain diagnosed AT/RTs. It is therefore necessary to re-evaluate INI1(+), AT/RT-like cases. Sanger sequencing, array CGH and mRNA microarray analyses were performed on PEBT samples for studying their genomics landscapes. AT/RT and INI(+) AT/RT-like patients had similar survival rate, and global array CGH analysis and INI1 gene sequencing showed there is no differential chromosomal aberration marker between INI1(-) AT/RT and INI(+) AT/RT-like cases. We did not misdiagnose MB or PNET as AT/RT-like cases since transcriptome profiling revealed that not only AT/RT and INI(+) AT/RT-like cases expressed distinct mRNA and microRNA profiles, and their gene expression patterns were different from those of MBs and PNETs. AT/RTs shared the closest transcriptome profile to embryonic stem cells, INI1(+) AT/RT-like tumors were more similar to somatic neural stem cell, while MBs were closer to fetal brain. Novel biomarkers were identified to distinguish INI1(-) AT/RTs, INI1(+) AT/RT-like cases and MBs. Our studies disclosed a novel INI1(+) ATRT-like subtype among Taiwanese pediatric cases. New diagnostic biomarkers, as well as new therapeutic tactics, can be developed according to the transcriptome information unveiled in this work. 2 AT/RT-like cases and 7 AT/RT cases are subjected to transcriptome analysis.
Project description:The tyrosine kinase ErbB2 positive breast tumors have more aggressive tumor growth, poorer clinical outcome, and more resistance to radiotherapy, chemotherapy and hormone therapy. A humanized anti-ErbB2 monoclonal antibody Herceptin and a small molecules inhibitor Lapatinib were developed and approved by FDA to treat patients with ErbB2 amplification and overexpression. Unfortunately, most ErbB2+ breast cancers do not respond to Herceptin and Lapatinib, and the majority of responders become resistant within 12 months of initial therapy (defined as secondary drug resistance). Such differences in response to Lapatinib treatment is contributed by substantial heterogeneity within ErbB2+ breast cancers. To address this possibility, we carried out transcriptomic analysis of mammary tumors from genetically diverse MMTV-ErbB2 mice. This will help us to have a better understanding of the heterogeneous response to ErbB2 targeted therapy and permit us to design better and more individualized (personalized) treatment strategies for human ErbB2 positive breast cancer. 214 MMTV-ErbB2 mammary tumors and 8 normal mammary glands were analyzed by Affymetrix microarrays.
Project description:In this dataset, we include the expression data obtained from KRas expressing tumors, matched Kras expressing tumor spheres, surviving cells and surviving cells after KRas re-expression for 24hs Data reported here are obtained from 5 independent tumors (from 1 to 5). For each tumor, expression data for the original Tumor (in vivo bulk tumor lesion), the KRas Expressing Spheres derived from the bulk tumor, the matched surviving cells after 8 days of KRas ablation (SCs) and Surviving Cells after 24 hours of KRas re-expression are reported.
Project description:Background: Fatal cancer is often the result of spread, or metastasis, of a cancer cell from the site of its origin to a distant anatomic site. While the metastatic process and the foreign environment of the metastatic site impact a tumorâ??s biology, we continue to determine therapy for patients based upon their cancerâ??s site of origin. We have performed an unbiased analysis across metastatic solid tumors from common primary sites to determine the molecular impact of the metastatic process on site-specific biology and to identify novel therapeutic strategies. Methods: Global gene expression was used as a biological phenotype to perform a top-down analysis of 96 metastatic human tumors. Laser capture microdissection, RNA amplification, and microarray analysis were used to measure the transcription patterns of malignant epithelial cells. Genes, multi-gene expression â??signaturesâ??, and pathways associated with site of origin (SOO) and site of metastases (SOM) were identified using established computational approaches. SOO and SOM expression signatures were validated on multiple, independent datasets comprising 1217 samples (1104 samples from GSE2109 (Expression Project for Oncology) and 113 samples from GSE12630 (Monzon FA, Lyons-Weiler M, Buturovic LJ, Rigl CT et al. Multicenter validation of a 1,550-gene expression profile for identification of tumor tissue of origin. J Clin Oncol 2009 May 20;27(15):2503-8. PMID: 19332734). Reverse phase proteomics and in vitro tissue culture were used to validate associations between biological pathways, site of primary, and implicated therapeutic combinations. Findings: SOO has the dominant influence on solid tumor biology as samples segregate based upon their primary site during unsupervised hierarchical clustering. In addition, statistically significant associations are identified between single genes and pathways and each primary site investigated and SOO signatures for colon, breast, ovary, lung, and prostate cancers accurately identify primary site for independent samples of both local and metastatic tumors independent of degree of histological differentiation. The impact of SOM on tumor biology is evident as genes and pathways are significantly associated with metastatic site and SOM signatures can be generated but they are not strongly predictive when applied to localized tumors. Pathway analysis identified relatively increased expression of MYC, beta-catenin, and SRC gene sets in metastatic colorectal cancers which was confirmed with proteomic analysis of a sub-set of the original tumors. Within colorectal cancers, high SRC expression also correlates with predicted oxaliplatin sensitivity and the combination of an SRC inhibitor with oxaliplatin demonstrated synergy in three independent colorectal cancer cell lines. Interpretation: Our findings suggest that the complex alterations required for metastasis do not obscure the impact of a cancer cellâ??s origin. SOO signatures have the potential to be highly accurate diagnostic tools and the underlying site-specific biology can be used to identify novel therapeutic targets for advanced cancers. Keywords: Gene expression analysis Ninety-six laser capture microdissected adenocarcinoma patient tumor samples of various primary and metastatic sites were processed for Total RNA. Our 96-sample datatset was enriched by inclusion of previously deposited microarray data in GEO (reprocessed for this study): A total of 1217 samples (1104 samples from GSE2109, 113 samples from GSE12630) were reprocessed from the CEL files using RMA. Supplementary files: The reprocessed data matrices. A list of the 1217 Samples' GSM accession numbers and the corresponding reprocessed sample IDs.
Project description:Diffuse large B-cell lymphoma (DLBCL) is the most common form of lymphoma in adults. The disease exhibits a striking heterogeneity in gene expression profiles and clinical outcomes, but its genetic causes remain to be fully defined. Through whole genome and exome sequencing, we characterized the genetic diversity of DLBCL. In all, we sequenced 73 DLBCL primary tumors (34 with matched normal DNA). Separately, we sequenced the exomes of 21 DLBCL cell lines. We identified 322 DLBCL cancer genes that were recurrently mutated in primary DLBCLs. We identified recurrent mutations implicating a number of known and not previously identified genes and pathways in DLBCL including those related to chromatin modification (ARID1A and MEF2B), NF-κB (CARD11 and TNFAIP3), PI3 kinase (PIK3CD, PIK3R1, and MTOR), B-cell lineage (IRF8, POU2F2, and GNA13), and WNT signaling (WIF1). We also experimentally validated a mutation in PIK3CD, a gene not previously implicated in lymphomas. The patterns of mutation demonstrated a classic long tail distribution with substantial variation of mutated genes from patient to patient and also between published studies. Thus, our study reveals the tremendous genetic heterogeneity that underlies lymphomas and highlights the need for personalized medicine approaches to treating these patients. 21 DLBCL cell lines and 70 DLBCL patient samples.
Project description:To determine the roles of oncogenic EGFR signaling in gliomagenesis and tumor maintenance, we generated a novel glioma mouse model driven by inducible expression of a mutant EGFR (EGFR*). Genetic suppression of EGFR* induction led to significant tumor regression and prolonged survival. But in spite of the initial response, the tumors relapsed invariably and propagated independent of EGFR*. We used microarrys to directly compare geen expression of control and relapse tumors and identified gene sets specifically activated in relapse tumors. Control and relasped glioma samples upon mutant EGFR extinction were selected for RNA extraction and hybridization on Affymetrix microarrays.
Project description:AZD1208 is a novel PIM kinase inhibitor that we have shown inhibits tumorigenesis in tissue recombination models, Myc-CaP allograft models, and human prostate cancer xenografts. We sought to determine the intracellular pathways that are responsible for the anti-tumor effect. To this end we used the tissue recombination protocol to implant MYCCaP cells into castrated mice. MYCCaP cells are an androgen-dependent mouse cell line that overexpresses the oncogene MYC. The mice used for implantation were castrated, so any tumors that result from the grafting procedure are androgen-independent. The grafted mice were divided into a control population receiving vehicle, and a test population receiving AZD1208. The tumors were harvested and in vitro cell lines were made. The new cell lines have been perpetuated in androgen-depleted media. RNA was harvested from three cell lines from mice receiving vehicle, three cell lines from mice receiving AZD1208, and from the parental MYCCaP cell line which was raised in media containing androgen. The RNA was hybridized to nine Affymetrix Mouse Gene 2.0 ST Arrays in the Vanderbilt University microarray processing core.
Project description:Identification and evaluation of specific molecular markers is of great importance for reliable diagnostics and outcome prediction of renal neoplasms Using the Affymetrix microarray, we established the gene expression signatures of normal kidneys and different types of renal tumors. Keywords: Several different biological groups, several samples per group We analysed several arrays per specific type of renal tumor and normal kidney tissues. This dataset is part of the TransQST collection.
Project description:A suggested role for fibrillr collagen topology in the pregnancy-induced protection and invasive phenotype. Two conditions: RNA was isolated from murine mammary D2.OR cells cultured in fibrillar collagen I and non-fibrillar collagen I in 3D cell culture