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https://www.readbyqxmd.com/read/29625048/cell-of-origin-patterns-dominate-the-molecular-classification-of-10-000-tumors-from-33-types-of-cancer
#1
Katherine A Hoadley, Christina Yau, Toshinori Hinoue, Denise M Wolf, Alexander J Lazar, Esther Drill, Ronglai Shen, Alison M Taylor, Andrew D Cherniack, Vésteinn Thorsson, Rehan Akbani, Reanne Bowlby, Christopher K Wong, Maciej Wiznerowicz, Francisco Sanchez-Vega, A Gordon Robertson, Barbara G Schneider, Michael S Lawrence, Houtan Noushmehr, Tathiane M Malta, Joshua M Stuart, Christopher C Benz, Peter W Laird
We conducted comprehensive integrative molecular analyses of the complete set of tumors in The Cancer Genome Atlas (TCGA), consisting of approximately 10,000 specimens and representing 33 types of cancer. We performed molecular clustering using data on chromosome-arm-level aneuploidy, DNA hypermethylation, mRNA, and miRNA expression levels and reverse-phase protein arrays, of which all, except for aneuploidy, revealed clustering primarily organized by histology, tissue type, or anatomic origin. The influence of cell type was evident in DNA-methylation-based clustering, even after excluding sites with known preexisting tissue-type-specific methylation...
April 5, 2018: Cell
https://www.readbyqxmd.com/read/29618931/upregulated-vegfa-and-dll4-act-as-potential-prognostic-genes-for-clear-cell-renal-cell-carcinoma
#2
Xilong Wang, Jun Zhang, Yangyun Wang, Minqi Tu, Ying Wang, Guowei Shi
Purpose: As a typical hypervascular tumor, clear cell renal cell carcinoma (ccRCC) is the most common type of RCC. This study was aimed to explore the prognostic genes for ccRCC, focusing on the roles of vascular endothelial growth factor A ( VEGFA ) and Delta-like ligand 4 ( DLL4 ) in the disease. Materials and methods: The mRNA-sequencing data of kidney renal clear cell carcinoma (KIRC) were obtained from The Cancer Genome Atlas (TCGA) database, including 469 tumor samples and 68 adjacent normal samples...
2018: OncoTargets and Therapy
https://www.readbyqxmd.com/read/29515971/the-expression-and-prognostic-impact-of-immune-cytolytic-activity-related-markers-in-human-malignancies-a-comprehensive-meta-analysis
#3
Constantinos Roufas, Dimitrios Chasiotis, Anestis Makris, Christodoulos Efstathiades, Christos Dimopoulos, Apostolos Zaravinos
Background: Recently, immune-checkpoint blockade has shown striking clinical results in different cancer patients. However, a significant inter-individual and inter-tumor variability exists among different cancers. The expression of the toxins granzyme A (GZMA) and perforin 1 (PRF1), secreted by effector cytotoxic T cells and natural killer (NK) cells, were recently used as a denominator of the intratumoral immune cytolytic activity (CYT). These levels are significantly elevated upon CD8+ T-cell activation as well as during a productive clinical response against immune-checkpoint blockade therapies...
2018: Frontiers in Oncology
https://www.readbyqxmd.com/read/29504244/distinct-chromatin-signatures-of-dna-hypomethylation-in-aging-and-cancer
#4
Raúl F Pérez, Juan Ramón Tejedor, Gustavo F Bayón, Agustín F Fernández, Mario F Fraga
Cancer is an aging-associated disease, but the underlying molecular links between these processes are still largely unknown. Gene promoters that become hypermethylated in aging and cancer share a common chromatin signature in ES cells. In addition, there is also global DNA hypomethylation in both processes. However, the similarity of the regions where this loss of DNA methylation occurs is currently not well characterized, and it is unknown if such regions also share a common chromatin signature in aging and cancer...
March 5, 2018: Aging Cell
https://www.readbyqxmd.com/read/29440068/molecular-characterization-of-renal-cell-carcinoma-a-potential-three-microrna-prognostic-signature
#5
Soum D Lokeshwar, Asif Talukder, Travis J Yates, Martin J P Hennig, Michael Garcia-Roig, Sarrah S Lahorewala, Naureen N Mullani, Zachary Klaassen, Bruce R Kava, Murugesan Manoharan, Mark S Soloway, Vinata B Lokeshwar
Background: Aberrantly expressed miRNAs promote renal cell carcinoma (RCC) growth and metastasis and are potentially useful biomarkers for metastatic disease. However, a consensus clinically significant miRNA signature has not been identified. To identify an miRNA signature for predicting clinical outcome in RCC patients, we used a four-pronged interconnected approach. Methods: Differentially expressed miRNAs were identified and analyzed in 113 specimens (normal kidney: 59; tumor: 54). miRNA profiling was performed in matched normal and tumor specimens from 8 patients and extended to 32 specimens...
April 2018: Cancer Epidemiology, Biomarkers & Prevention
https://www.readbyqxmd.com/read/29340018/survival-prediction-of-kidney-renal-papillary-cell-carcinoma-by-comprehensive-lncrna-characterization
#6
Huihua Lan, Jianghui Zeng, Gang Chen, Huayi Huang
Kidney renal papillary cell carcinoma (KIRP) accounts for 10%-15% of renal cell carcinoma (RCC), patients with KIRP tend to have a poor prognosis, and there was a lack of effective prognostic indicators for this type of cancer. Currently, owing to the availability of The Cancer Genome Atlas (TCGA), long non-coding RNAs (LncRNAs) have been discovered to indicate a prognostic value in some tumors. In that regard, we analyzed lncRNA-sequencing data of KIRP in TCGA, and among 780 differentially-expressed lncRNAs, we selected 37 lncRNAs which were able to assist the prognosis...
December 19, 2017: Oncotarget
https://www.readbyqxmd.com/read/29332336/downregulation-of-guanine-nucleotide-binding-protein-beta-1-gnb1-is-associated-with-worsened-prognosis-of-clearcell-renal-cell-carcinoma-and-is-related-to-vegf-signaling-pathway
#7
C Chen, H Chi, L Min, Z Junhua
PURPOSE: Clear-cell renal cell carcinoma (ccRCC) is characterized by genetic abnormalities, while the role of Guanine Nucleotide-Binding Protein Beta 1 (GNB1) in ccRCC has not been studied. We thus aimed to evaluate the expression and prognostic value of GNB1 in ccRCC. METHODS: A two-stage study (exploration and validation) was conducted using in silico and immunohistochemical (IHC) scoring of ccRCC samples from our institute, to evaluate the association between GNB1 expression and clinicopathological parameters of ccRCC patients...
November 2017: Journal of B.U.ON.: Official Journal of the Balkan Union of Oncology
https://www.readbyqxmd.com/read/29299153/identify-clear-cell-renal-cell-carcinoma-related-genes-by-gene-network
#8
Fangrong Yan, Yue Wang, Chunhui Liu, Huiling Zhao, Liya Zhang, Xiaofan Lu, Chen Chen, Yaoyan Wang, Tao Lu, Fei Wang
Clear cell renal cell carcinoma (ccRCC) is the most prominent type of kidney cancer in adults. The patients within metastatic ccRCC have a poor 5-year survival rate that is less than 10%. It is essential to identify ccRCC -related genes to help with the understanding of molecular mechanism of ccRCC. In this literature, we aim to identify genes related to ccRCC based on a gene network. We collected gene expression level data of ccRCC from the Cancer Genome Atlas (TCGA) for our analysis. We constructed a co-expression gene network as the first step of our study...
December 15, 2017: Oncotarget
https://www.readbyqxmd.com/read/29192325/downregulation-of-microrna-1274a-induces-cell-apoptosis-through-regulation-of-bmpr1b-in-clear-cell-renal-cell-carcinoma
#9
Hirofumi Yoshino, Tomokazu Yonezawa, Masaya Yonemori, Kazutaka Miyamoto, Takashi Sakaguchi, Satoru Sugita, Youichi Osako, Shuichi Tatarano, Masayuki Nakagawa, Hideki Enokida
Our previous studies of the microRNA (miRNA) expression signature in clear cell renal cell carcinoma (ccRCC) indicated that miRNA-1274a (miR-1274a) was significantly upregulated in clinical specimens, suggesting that miR-1274a may act as an oncogenic miRNA in ccRCC. The aim of this study was to investigate the functional roles of miR-1274a and identify downstream tumor-suppressive targets regulated by miR‑1274a in ccRCC cells. Functional studies of miR-1274a were carried out by anti-miRNA to investigate cell proliferation and apoptosis using the A498, ACHN and Caki1 ccRCC cell lines...
January 2018: Oncology Reports
https://www.readbyqxmd.com/read/29176561/hif-drives-lipid-deposition-and-cancer-in-ccrcc-via-repression-of-fatty-acid-metabolism
#10
Weinan Du, Luchang Zhang, Adina Brett-Morris, Brittany Aguila, Janos Kerner, Charles L Hoppel, Michelle Puchowicz, Dolors Serra, Laura Herrero, Brian I Rini, Steven Campbell, Scott M Welford
Clear cell renal cell carcinoma (ccRCC) is histologically defined by its lipid and glycogen-rich cytoplasmic deposits. Alterations in the VHL tumor suppressor stabilizing the hypoxia-inducible factors (HIFs) are the most prevalent molecular features of clear cell tumors. The significance of lipid deposition remains undefined. We describe the mechanism of lipid deposition in ccRCC by identifying the rate-limiting component of mitochondrial fatty acid transport, carnitine palmitoyltransferase 1A (CPT1A), as a direct HIF target gene...
November 24, 2017: Nature Communications
https://www.readbyqxmd.com/read/29158991/ndufa4l2-is-associated-with-clear-cell-renal-cell-carcinoma-malignancy-and-is-regulated-by-elk1
#11
Lei Wang, Zhiqiang Peng, Kaizhen Wang, Yijun Qi, Ying Yang, Yue Zhang, Xinyuan An, Shudong Luo, Junfang Zheng
Background: Clear cell renal cell carcinoma (ccRCC) is the most common and lethal cancer of the adult kidney. However, its pathogenesis has not been fully understood till now, which hinders the therapeutic development of ccRCC. NADH dehydrogenase (ubiquinone) 1 alpha subcomplex 4-like 2 (NDUFA4L2) was found to be upregulated and play an important role in ccRCC. We aimed to further investigate the underlying mechanisms by which NDUFA4L2 exerted function and its expression level was upregulated...
2017: PeerJ
https://www.readbyqxmd.com/read/29104463/plasma-levels-of-endothelial-cell-specific-molecule-1-as-a-potential-biomarker-of-oral-cancer-progression
#12
Wei-En Yang, Ming-Ju Hsieh, Chiao-Wen Lin, Chun-Ying Kuo, Shun-Fa Yang, Chun-Yi Chuang, Mu-Kuan Chen
In Taiwan, oral cancer is the fourth most common cancer and the most common malignancy with a poor prognosis. Endothelial cell-specific molecule-1 (ESM-1) is secreted by vascular endothelial cells in the liver, lungs, kidneys, and gastrointestinal tract. ESM-1 expression is associated with tumor prognosis, metastasis, and angiogenesis in many cancers. However, few studies have examined the association of plasma ESM-1 levels with oral squamous cell carcinoma (OSCC) progression. We measured the plasma ESM-1 levels of 438 male OSCC patients through a commercial enzyme-linked immunosorbent assay...
2017: International Journal of Medical Sciences
https://www.readbyqxmd.com/read/29073199/reduced-expression-of-iqgap2-and-higher-expression-of-iqgap3-correlates-with-poor-prognosis-in-cancers
#13
Dinesh Kumar, Md Khurshidul Hassan, Niharika Pattnaik, Nachiketa Mohapatra, Manjusha Dixit
IQGAPs is a family of proteins which comprises three members, in humans. The expression pattern and role of IQGAP1 has been well established in many cancers, whereas those of IQGAP2 and IQGAP3, have mostly remained unexplored. We used available large datasets, to explore the pan-cancer status of these two genes in-silico. Here we have analysed their mRNA expression and correlation with survivability in eight different cancers, including lung, breast, gastric, brain, colorectal, prostate, liver and kidney cancers and, their subtypes...
2017: PloS One
https://www.readbyqxmd.com/read/29036190/clusternomics-integrative-context-dependent-clustering-for-heterogeneous-datasets
#14
Evelina Gabasova, John Reid, Lorenz Wernisch
Integrative clustering is used to identify groups of samples by jointly analysing multiple datasets describing the same set of biological samples, such as gene expression, copy number, methylation etc. Most existing algorithms for integrative clustering assume that there is a shared consistent set of clusters across all datasets, and most of the data samples follow this structure. However in practice, the structure across heterogeneous datasets can be more varied, with clusters being joined in some datasets and separated in others...
October 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28984208/unique-protein-expression-signatures-of-survival-time-in-kidney-renal-clear-cell-carcinoma-through-a-pan-cancer-screening
#15
Guangchun Han, Wei Zhao, Xiaofeng Song, Patrick Kwok-Shing Ng, Jose A Karam, Eric Jonasch, Gordon B Mills, Zhongming Zhao, Zhiyong Ding, Peilin Jia
BACKGROUND: In 2016, it is estimated that there will be 62,700 new cases of kidney cancer in the United States, and 14,240 patients will die from the disease. Because the incidence of kidney renal clear cell carcinoma (KIRC), the most common type of kidney cancer, is expected to continue to increase in the US, there is an urgent need to find effective diagnostic biomarkers for KIRC that could help earlier detection of and customized treatment strategies for the disease. Accordingly, in this study we systematically investigated KIRC's prognostic biomarkers for survival using the reverse phase protein array (RPPA) data and the high throughput sequencing data from The Cancer Genome Atlas (TCGA)...
October 3, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28984199/roles-of-alternative-splicing-in-modulating-transcriptional-regulation
#16
Jin Li, Yang Wang, Xi Rao, Yue Wang, Weixing Feng, Hong Liang, Yunlong Liu
BACKGROUND: The ability of a transcription factor to regulate its targets is modulated by a variety of genetic and epigenetic mechanisms. Alternative splicing can modulate gene function by adding or removing certain protein domains, and therefore affect the activity of protein. Reverse engineering of gene regulatory networks using gene expression profiles has proven valuable in dissecting the logical relationships among multiple proteins during the transcriptional regulation. However, it is unclear whether alternative splicing of certain proteins affects the activity of other transcription factors...
October 3, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28938536/integrating-omics-data-and-protein-interaction-networks-to-prioritize-driver-genes-in-cancer
#17
Tiejun Zhang, Di Zhang
Although numerous approaches have been proposed to discern driver from passenger, identification of driver genes remains a critical challenge in the cancer genomics field. Driver genes with low mutated frequency tend to be filtered in cancer research. In addition, the accumulation of different omics data necessitates the development of algorithmic frameworks for nominating putative driver genes. In this study, we presented a novel framework to identify driver genes through integrating multi-omics data such as somatic mutation, gene expression, and copy number alterations...
August 29, 2017: Oncotarget
https://www.readbyqxmd.com/read/28912897/genomic-analysis-of-tumor-microenvironment-immune-types-across-14-solid-cancer-types-immunotherapeutic-implications
#18
Yu-Pei Chen, Yu Zhang, Jia-Wei Lv, Ying-Qin Li, Ya-Qin Wang, Qing-Mei He, Xiao-Jing Yang, Ying Sun, Yan-Ping Mao, Jing-Ping Yun, Na Liu, Jun Ma
We performed a comprehensive immuno-genomic analysis of tumor microenvironment immune types (TMITs), which is classified into four groups based on PD-L1+CD8A or PD-L1+cytolytic activity (CYT) expression, across a broad spectrum of solid tumors in order to help identify patients who will benefit from anti- PD-1/PD-L1 therapy. The mRNA sequencing data from The Cancer Genome Atlas (TCGA) of 14 solid cancer types representing 6,685 tumor samples was analyzed. TMIT was classified only for those tumor types that both PD-L1 and CD8A/CYT could prefict mutation and/or neoantigen number...
2017: Theranostics
https://www.readbyqxmd.com/read/28835003/regulation-of-pharmacogene-expression-by-microrna-in-the-cancer-genome-atlas-tcga-research-network
#19
Nayoung Han, Yun-Kyoung Song, Gilbert J Burckart, Eunhee Ji, In-Wha Kim, Jung Mi Oh
Individual differences in drug responses are associated with genetic and epigenetic variability of pharmacogene expression. We aimed to identify the relevant miRNAs which regulate pharmacogenes associated with drug responses. The miRNA and mRNA expression profiles derived from data for normal and solid tumor tissues in The Cancer Genome Atlas (TCGA) Research Network. Predicted miRNAs targeted to pharmacogenes were identified using publicly available databases. A total of 95 pharmacogenes were selected from cholangiocarcinoma and colon adenocarcinoma, as well as kidney renal clear cell, liver hepatocellular, and lung squamous cell carcinomas...
September 1, 2017: Biomolecules & Therapeutics
https://www.readbyqxmd.com/read/28819401/identification-and-validation-of-soluble-carrier-family-expression-signature-for-predicting-poor-outcome-of-renal-cell-carcinoma
#20
Wan Fangning, Ma Chunguang, Zhang Hailiang, Shi Guohai, Zhu Yao, Dai Bo, Shen Yijun, Zhu Yiping, Ye Dingwei
The soluble carrier (SLC) family plays an important role in cell metabolism. The purpose of the current study was to screen SLCs as potential prognostic factors in clear cell renal cell carcinoma (ccRCC). A total of 509 patients with ccRCC from The Cancer Genome Atlas (TCGA) cohort were enrolled in this study. The expression profile of SLCs was obtained from the TCGA RNAseq database. Metadata of the TCGA cohort, including age, sex, TNM stage, tumor grade, American Joint Committee on Cancer stage, laterality, and overall survival, were collected...
2017: Journal of Cancer
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