keyword
MENU ▼
Read by QxMD icon Read
search

TCGA data ovarian cancer

keyword
https://www.readbyqxmd.com/read/28670762/tribbles-2-mediates-cisplatin-sensitivity-and-dna-damage-response-in-epithelial-ovarian-cancer
#1
Daniel Kritsch, Franziska Hoffmann, Daniel Steinbach, Lars Jansen, Stella Mary Photini, Mieczyslaw Gajda, Alexander S Mosig, Jürgen Sonnemann, Sven Peters, Margarita Melnikova, Jürgen Thomale, Matthias Dürst, Ingo B Runnebaum, Norman Häfner
Aim was to identify methylated genes with functional involvement in cisplatin-resistance development of epithelial ovarian cancer (EOC). Genome-wide analyses of hypermethylated CpG-islands in resistant cell lines in combination with qRT-PCR analyses were used to identify epigenetically silenced genes. EOC-type-II tumors were analyzed for gene methylation and expression and TCGA data were interrogated in-silico. Experiments revealed 37 commonly hypermethylated genes in resistant cells of which Tribbles 2 (TRIB2) showed the most pronounced down-regulation on mRNA level and was characterized further...
July 3, 2017: International Journal of Cancer. Journal International du Cancer
https://www.readbyqxmd.com/read/28627585/role-of-metadherin-in-estrogen-regulated-gene-expression
#2
Yujun Li, Jesus Gonzalez Bosquet, Shujie Yang, Kristina W Thiel, Yuping Zhang, Haitao Liu, Kimberly K Leslie, Xiangbing Meng
The disruption of estrogen signaling is widely associated with the development of breast, endometrial and ovarian cancers. As a multifunctional mediator of carcinogenesis, metadherin (MTDH)/astrocyte elevated gene-1 (AEG-1) overexpression has been associated with numerous types of cancer, with reported roles in tumor initiation, proliferation, invasion, metastasis and chemoresistance. At the molecular level, MTDH has been shown to interact with proteins that drive tumorigenesis, including nuclear factor-κB (NF-κB), promyelocytic leukaemia zinc finger (PLZF), BRCA2- and CDKN1A (p21Cip1/Waf-1/mda-6)-interacting protein α (BCCIPα) and staphylococcal nuclease and tudor domain containing 1 (SND1)...
June 13, 2017: International Journal of Molecular Medicine
https://www.readbyqxmd.com/read/28615526/identifying-prognostic-signature-in-ovarian-cancer-using-dirgenerank
#3
Jian-Yong Wang, Ling-Ling Chen, Xiong-Hui Zhou
Identifying the prognostic genes in cancer is essential not only for the treatment of cancer patients, but also for drug discovery. However, it's still a big challenge to select the prognostic genes that can distinguish the risk of cancer patients across various data sets because of tumor heterogeneity. In this situation, the selected genes whose expression levels are statistically related to prognostic risks may be passengers. In this paper, based on gene expression data and prognostic data of ovarian cancer patients, we used conditional mutual information to construct gene dependency network in which the nodes (genes) with more out-degrees have more chances to be the modulators of cancer prognosis...
July 11, 2017: Oncotarget
https://www.readbyqxmd.com/read/28606096/pan-cancer-analysis-reveals-technical-artifacts-in-tcga-germline-variant-calls
#4
Alexandra R Buckley, Kristopher A Standish, Kunal Bhutani, Trey Ideker, Roger S Lasken, Hannah Carter, Olivier Harismendy, Nicholas J Schork
BACKGROUND: Cancer research to date has largely focused on somatically acquired genetic aberrations. In contrast, the degree to which germline, or inherited, variation contributes to tumorigenesis remains unclear, possibly due to a lack of accessible germline variant data. Here we called germline variants on 9618 cases from The Cancer Genome Atlas (TCGA) database representing 31 cancer types. RESULTS: We identified batch effects affecting loss of function (LOF) variant calls that can be traced back to differences in the way the sequence data were generated both within and across cancer types...
June 12, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28579401/node-based-learning-of-differential-networks-from-multi-platform-gene-expression-data
#5
Le Ou-Yang, Xiao-Fei Zhang, Min Wu, Xiao-Li Li
Recovering gene regulatory networks and exploring the network rewiring between two different disease states are important for revealing the mechanisms behind disease progression. The advent of high-throughput experimental techniques has enabled the possibility of inferring gene regulatory networks and differential networks using computational methods. However, most of existing differential network analysis methods are designed for single-platform data analysis and assume that differences between networks are driven by individual edges...
June 1, 2017: Methods: a Companion to Methods in Enzymology
https://www.readbyqxmd.com/read/28537669/e2f2-induces-mcm4-ccne2-and-whsc1-upregulation-in-ovarian-cancer-and-predicts-poor-overall-survival
#6
L Xie, T Li, L-H Yang
OBJECTIVE: To explore the genes co-upregulated with E2F2 in ovarian cancer and their association with survival outcomes in ovarian cancer patients. MATERIALS AND METHODS: The raw data of GDS3592 was downloaded from GEO datasets for reanalysis. The overlapping subset between the top 150 upregulated genes in ovarian cancer epithelial cells (CEPIs) and the E2F2 positively correlated genes (Pearson's r≥0.5) in ovarian cancer cohort in TCGA was identified. The association between E2F2, MCM4, CCNE2 and WHSC1 and overall survival (OS) and recurrence-free survival (RFS) in ovarian cancer patients were assessed using Kaplan-Meier plotter...
May 2017: European Review for Medical and Pharmacological Sciences
https://www.readbyqxmd.com/read/28520777/network-based-stratification-of-major-cancers-by-integrating-somatic-mutation-and-gene-expression-data
#7
Zongzhen He, Junying Zhang, Xiguo Yuan, Zhaowen Liu, Baobao Liu, Shouheng Tuo, Yajun Liu
The stratification of cancer into subtypes that are significantly associated with clinical outcomes is beneficial for targeted prognosis and treatment. In this study, we integrated somatic mutation and gene expression data to identify clusters of patients. In contrast to previous studies, we constructed cancer-type-specific significant co-expression networks (SCNs) rather than using a fixed gene network across all cancers, such as the network-based stratification (NBS) method, which ignores cancer heterogeneity...
2017: PloS One
https://www.readbyqxmd.com/read/28423358/characterization-of-fusion-genes-in-common-and-rare-epithelial-ovarian-cancer-histologic-subtypes
#8
Madalene A Earp, Rama Raghavan, Qian Li, Junqiang Dai, Stacey J Winham, Julie M Cunningham, Yanina Natanzon, Kimberly R Kalli, Xiaonan Hou, S John Weroha, Paul Haluska, Kate Lawrenson, Simon A Gayther, Chen Wang, Ellen L Goode, Brooke L Fridley
Gene fusions play a critical role in some cancers and can serve as important clinical targets. In epithelial ovarian cancer (EOC), the contribution of fusions, especially by histological type, is unclear. We therefore screened for recurrent fusions in a histologically diverse panel of 220 EOCs using RNA sequencing. The Pipeline for RNA-Sequencing Data Analysis (PRADA) was used to identify fusions and allow for comparison with The Cancer Genome Atlas (TCGA) tumors. Associations between fusions and clinical prognosis were evaluated using Cox proportional hazards regression models...
April 1, 2017: Oncotarget
https://www.readbyqxmd.com/read/28350786/methylation-of-mylk3-gene-promoter-region-a-biomarker-to-stratify-surgical-care-in-ovarian-cancer-in-a-multicentre-study
#9
David L Phelps, Jane V Borley, Kirsty J Flower, Roberto Dina, Silvia Darb-Esfahani, Ioana Braicu, Jalid Sehouli, Christina Fotopoulou, Charlotte S Wilhelm-Benartzi, Hani Gabra, Joseph Yazbek, Jayanta Chatterjee, Jacey Ip, Harun Khan, Marina-Therese Likos-Corbett, Robert Brown, Sadaf Ghaem-Maghami
BACKGROUND: Survival benefit from surgical debulking of ovarian cancer (OC) is well established, but some women, despite total macroscopic clearance of disease, still have poor prognosis. We aimed to identify biomarkers to predict benefit from conventional surgery. METHODS: Clinical data from women debulked for high-stage OC were analysed (Hammersmith Hospital, London, UK; 2001-2014). Infinium's HumanMethylation27 array interrogated tumour DNA for differentially methylated CpG sites, correlated to survival, in patients with the least residual disease (RD; Hammersmith Array)...
May 9, 2017: British Journal of Cancer
https://www.readbyqxmd.com/read/28350120/cross-validation-of-genes-potentially-associated-with-overall-survival-and-drug-resistance-in-ovarian-cancer
#10
Yutao Gao, Xia Liu, Ting Li, Luwei Wei, Antai Yang, Yi Lu, Jian Zhang, Li Li, Sumei Wang, Fuqiang Yin
Ovarian cancer is the leading cause of death among malignancies of the female reproductive system. The 5-year survival rates of ovarian cancer (OC) patients are very poor as a result of recurrent disease and emergence of drug resistance; thus, studies to find predictive markers and factors for drug resistance are ongoing. In the present study, based on the microarrays from The Cancer Genome Atlas (TCGA), and the Gene Expression Omnibus (GEO) profiles covering 1648 OC patients, 11 out of 136 genes that were found to be significantly dysregulated in OC were associated with overall survival (OS) in 489 OC patients of the TCGA cohort...
May 2017: Oncology Reports
https://www.readbyqxmd.com/read/28328815/strobe-compliant-integrin-through-focal-adhesion-involve-in-cancer-stem-cell-and-multidrug-resistance-of-ovarian-cancer
#11
Luwei Wei, Fuqiang Yin, Wei Zhang, Li Li
Cancer stem cells (CSCs) are considered to be the root of carcinoma relapse and drug resistance in ovarian cancer. Hunting for the potential CSC genes and explain their functions would be a feasible strategy to meet the challenge of the drug resistance in ovarian cancer. In this study, we performed bioinformatic approaches such as biochip data extraction and pathway enrichment analyses to elucidate the mechanism of the CSC genes in regulation of drug resistance. Potential key genes, integrins, were identified to be related to CSC in addition to their associations with drug resistance and prognosis in ovarian cancer...
March 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28199976/elf3-is-a-negative-regulator-of-epithelial-mesenchymal-transition-in-ovarian-cancer-cells
#12
Tsz-Lun Yeung, Cecilia S Leung, Kwong-Kwok Wong, Arthur Gutierrez-Hartmann, Joseph Kwong, David M Gershenson, Samuel C Mok
Transcription factors are master switches for various biochemical pathways. However, transcription factors involved in the pathogenesis of ovarian cancer have yet to be explored thoroughly. Therefore, in the present study, we assessed the prognostic value of the transcription factor E74-like factor 3 (ELF3) identified via transcriptome profiling of the epithelial components of microdissected ovarian tumor samples isolated from long- and short-term survivors and determined its roles in ovarian cancer pathogenesis...
March 7, 2017: Oncotarget
https://www.readbyqxmd.com/read/28148395/tissue-factor-factor-viia-complex-triggers-protease-activated-receptor-2-dependent-growth-factor-release-and-migration-in-ovarian-cancer
#13
Alice Chanakira, Pamela R Westmark, Irene M Ong, John P Sheehan
OBJECTIVE: Enhanced tissue factor (TF) expression in epithelial ovarian cancer (EOC) is associated with aggressive disease. Our objective was to evaluate the role of the TF-factor VIIa-protease-activated receptor-2 (PAR-2) pathway in human EOC. METHODS: TCGA RNAseq data from EOC databases were analyzed for PAR expression. Cell and microparticle (MP) associated TF protein expression (Western blot) and MP-associated coagulant activity were determined in human EOC (SKOV-3, OVCAR-3 and CaOV-3) and control cell lines...
April 2017: Gynecologic Oncology
https://www.readbyqxmd.com/read/28118849/distinguishing-potential-bacteria-tumor-associations-from-contamination-in-a-secondary-data-analysis-of-public-cancer-genome-sequence-data
#14
Kelly M Robinson, Jonathan Crabtree, John S A Mattick, Kathleen E Anderson, Julie C Dunning Hotopp
BACKGROUND: A variety of bacteria are known to influence carcinogenesis. Therefore, we sought to investigate if publicly available whole genome and whole transcriptome sequencing data generated by large public cancer genome efforts, like The Cancer Genome Atlas (TCGA), could be used to identify bacteria associated with cancer. The Burrows-Wheeler aligner (BWA) was used to align a subset of Illumina paired-end sequencing data from TCGA to the human reference genome and all complete bacterial genomes in the RefSeq database in an effort to identify bacterial read pairs from the microbiome...
January 25, 2017: Microbiome
https://www.readbyqxmd.com/read/28073598/hdac10-as-a-potential-therapeutic-target-in-ovarian-cancer
#15
Muhtadi M Islam, Tapahsama Banerjee, Colin Z Packard, Shweta Kotian, Karuppaiyah Selvendiran, David E Cohn, Jeffrey D Parvin
OBJECTIVE: We analyzed histone deacetylase 10 (HDAC10) for function in the context of the DNA damage response in BRCA1-null ovarian cancer cells as well as evaluated the potential of general HDAC inhibitors in primary ovarian carcinoma cells. HDAC10 had previously been shown to be highly stimulatory to the process of homology directed repair in HeLa cells, and in this study we investigated whether HDAC10 could impact in vitro the response to anticancer therapies. We hypothesized that the loss of HDAC10 would sensitize cells to platinum therapy...
March 2017: Gynecologic Oncology
https://www.readbyqxmd.com/read/28049703/pathway-structured-predictive-model-for-cancer-survival-prediction-a-two-stage-approach
#16
Xinyan Zhang, Yan Li, Tomi Akinyemiju, Akinyemi I Ojesina, Phillip Buckhaults, Nianjun Liu, Bo Xu, Nengjun Yi
Heterogeneity in terms of tumor characteristics, prognosis, and survival among cancer patients has been a persistent problem for many decades. Currently, prognosis and outcome predictions are made based on clinical factors and/or by incorporating molecular profiling data. However, inaccurate prognosis and prediction may result by using only clinical or molecular information directly. One of the main shortcomings of past studies is the failure to incorporate prior biological information into the predictive model, given strong evidence of the pathway-based genetic nature of cancer, i...
January 2017: Genetics
https://www.readbyqxmd.com/read/28040436/fam98a-associates-with-ddx1-c14orf166-fam98b-in-a-novel-complex-involved-in-colorectal-cancer-progression
#17
Khondker Ayesha Akter, Mohammed A Mansour, Toshinori Hyodo, Takeshi Senga
Protein Arginine Methyl Transferase 1 (PRMT1) is deemed to be a potential oncogenic protein considering its overexpression in several malignancies including colorectal cancer. However, the molecular pathogenesis regarding PRMT1 overexpression and overall poor patient survival involved in this devastating and life threatening cancer remains obscured. In our previous study, we have identified FAM98A as a novel substrate of PRMT1 and also identified its role in ovarian cancer progression. Here, we showed that the two structural homologs FAM98A and FAM98B included in a novel complex with DDX1 and C14orf166 are required for PRMT1 expression...
December 28, 2016: International Journal of Biochemistry & Cell Biology
https://www.readbyqxmd.com/read/27980217/the-association-between-copper-transporters-and-the-prognosis-of-cancer-patients-undergoing-chemotherapy-a-meta-analysis-of-literatures-and-datasets
#18
REVIEW
Si Sun, Jing Cai, Qiang Yang, Simei Zhao, Zehua Wang
Copper transporter 1 (CTR1), copper transporter 2 (CTR2), copper-transporting p-type adenosine triphosphatase 1 and 2 (ATP7A and ATP7B) are key mediators of cellular cisplatin, carboplatin and oxaliplatin accumulation. In this meta-analysis, we aimed to evaluate the relation of CTR1, CTR2, ATP7A and ATP7B to overall survival (OS), progression-free survival (PFS), disease-free survival (DFS) and treatment response (TR) of cancer patients who received chemotherapy based on published literatures, the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) datasets...
February 28, 2017: Oncotarget
https://www.readbyqxmd.com/read/27966459/the-transcription-levels-and-prognostic-values-of-seven-proteasome-alpha-subunits-in-human-cancers
#19
Yunhai Li, Jing Huang, Jiazheng Sun, Shili Xiang, Dejuan Yang, Xuedong Ying, Mengqi Lu, Hongzhong Li, Guosheng Ren
Proteasome alpha subunits (PSMAs) have been shown to participate in the malignant progression of human cancers. However, the expression patterns and prognostic values of individual PSMAs remain elusive in most cancers. In the present study, we investigated the mRNA expression levels of seven PSMAs in different kinds of cancers using Oncomine and The Cancer Genome Atlas (TCGA) databases. The prognostic significance of PSMAs was also determined by Kaplan-Meier Plotter and PrognScan databases. Combined with Oncomine and TCGA, the mRNA expression levels of PSMA1-7 were significantly upregulated in breast, lung, gastric, bladder and head and neck cancer compared with normal tissues...
January 17, 2017: Oncotarget
https://www.readbyqxmd.com/read/27868129/identifying-differential-networks-based-on-multi-platform-gene-expression-data
#20
Le Ou-Yang, Hong Yan, Xiao-Fei Zhang
Exploring how the structure of a gene regulatory network differs between two different disease states is fundamental for understanding the biological mechanisms behind disease development and progression. Recently, with rapid advances in microarray technologies, gene expression profiles of the same patients can be collected from multiple microarray platforms. However, previous differential network analysis methods were usually developed based on a single type of platform, which could not utilize the common information shared across different platforms...
December 20, 2016: Molecular BioSystems
keyword
keyword
88568
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"