Differences in gene expression in prostate cancer, normal appearing prostate tissue adjacent to cancer and prostate tissue from cancer free organ donors - Wikidata - thesis-toulmin - TriplyDB

Differences in gene expression in prostate cancer, normal appearing prostate tissue adjacent to cancer and prostate tissue from cancer free organ donors

Differences in gene expression in prostate cancer, normal appearing prostate tissue adjacent to cancer and prostate tissue from cancer free organ donors

http://www.wikidata.org/entity/Q24815497

about

The effect of environmental chemicals on the tumor microenvironment Integrative computational biology for cancer research Interactions between cells with distinct mutations in c-MYC and Pten in prostate cancer.Clinical implications and utility of field cancerization Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process.Evolutionary conservation of zinc finger transcription factor binding sites in promoters of genes co-expressed with WT1 in prostate cancer A novel gene signature for molecular diagnosis of human prostate cancer by RT-qPCR.An Integrative Genomics Approach for Associating Genome-Wide Association Studies Information With Localized and Metastatic Prostate Cancer Phenotypes Analysis of gene expression in prostate cancer epithelial and interstitial stromal cells using laser capture microdissection.Differential gene expression in benign prostate epithelium of men with and without prostate cancer: evidence for a prostate cancer field effect.A comparative analysis of gene-expression data of multiple cancer types.Follistatin is a metastasis suppressor in a mouse model of HER2-positive breast cancer.MicroRNA-145 is regulated by DNA methylation and p53 gene mutation in prostate cancer.Analysis of normal-tumour tissue interaction in tumours: prediction of prostate cancer features from the molecular profile of adjacent normal cells.Immunohistochemical analysis of ezrin-radixin-moesin-binding phosphoprotein 50 in prostatic adenocarcinoma.Modulation of androgen receptor signaling in hormonal therapy-resistant prostate cancer cell lines Computational identification of surrogate genes for prostate cancer phases using machine learning and molecular network analysis.Liverome: a curated database of liver cancer-related gene signatures with self-contained context information The presence of telomere fusion in sporadic colon cancer independently of disease stage, TP53/KRAS mutation status, mean telomere length, and telomerase activity Insulin receptor isoforms A and B as well as insulin receptor substrates-1 and -2 are differentially expressed in prostate cancer.Aging and cancer-related loss of insulin-like growth factor 2 imprinting in the mouse and human prostate.The yin and yang of 15-lipoxygenase-1 and delta-desaturases: dietary omega-6 linoleic acid metabolic pathway in prostate.Early growth response 3 (Egr3) is highly over-expressed in non-relapsing prostate cancer but not in relapsing prostate cancer Up-regulation of dicer, a component of the MicroRNA machinery, in prostate adenocarcinoma Diagnosis of prostate cancer using differentially expressed genes in stroma Methylation of APC and GSTP1 in non-neoplastic tissue adjacent to prostate tumour and mortality from prostate cancer.Evidence for field cancerization of the prostate.Identification of Pathogen Signatures in Prostate Cancer Using RNA-seq.Characterization of a Gene Expression Signature in Normal Rat Prostate Tissue Induced by the Presence of a Tumor Elsewhere in the Organ.The awakening of an advanced malignant cancer: an insult to the mitochondrial genome Somatic mitochondrial DNA mutations in prostate cancer and normal appearing adjacent glands in comparison to age-matched prostate samples without malignant histology.AKAP3 correlates with triple negative status and disease free survival in breast cancer.Markers of field cancerization: proposed clinical applications in prostate biopsies Secreted protein, acidic and rich in cysteine-like 1 (SPARCL1) is down regulated in aggressive prostate cancers and is prognostic for poor clinical outcome.Meta-analysis of human lung cancer microRNA expression profiling studies comparing cancer tissues with normal tissues.ProPSA and diagnostic biopsy tissue DNA content combination improves accuracy to predict need for prostate cancer treatment among men enrolled in an active surveillance program.Novel cancerization marker, TP53, and its role in distinguishing normal tissue adjacent to cancerous tissue from normal tissue adjacent to benign tissue Expression of hedgehog pathway components in prostate carcinoma microenvironment: shifting the balance towards autocrine signalling Gene expression analyses support fallopian tube epithelium as the cell of origin of epithelial ovarian cancer.Combining multiple microarray studies using bootstrap meta-analysis.

P2860

Q28085138-97DC3BF6-498E-4558-9E24-A21822190A19 Q28744621-3AD613AB-AEB0-4593-92DE-6E69AC8817B0 Q30866782-C8A9943B-1B46-4A27-8494-FB3182675466 Q33278836-33C1D020-8F5B-42B4-B4C4-84FF2848A536 Q33281964-D2B445E7-972F-4534-BFD7-74D2EE54EBCA Q33352317-13E4CAF0-1F49-437B-98EB-0664D6BF437F Q33381646-285FC8DD-73A1-4E52-8D6B-D7D08CFAC955 Q33565740-346319AB-7984-48E9-A545-E141800A25EB Q33567270-0FA99E0B-9539-49A5-9DEF-B9A8B2876473 Q33714055-98A15B66-601D-441A-9645-557F1FD2C5AD Q33742162-AEEA85F1-EF68-4016-B00D-7FBF81A05517 Q33768293-731D6867-60C5-4555-906A-25F3B4C7333B Q33829462-D14AAB7A-349D-4E65-9162-9F70808C4B7C Q33867402-134B5E57-2E0C-4396-B30E-92DA0C146600 Q33932203-5F147F81-7222-4289-B583-A9092BD7C1FB Q33988757-DAF9BD36-F9C5-46F3-BD28-5C266310F879 Q34155176-42F533F2-8FDB-46EA-99D2-2AD126BF5B76 Q34173509-794973D5-4942-4CAC-9AD0-6825A921A591 Q34417549-7A32DAF6-E8B0-49D5-A085-3BB412B0F1C0 Q34515985-96A2BE1B-EF17-4526-A54D-7C2C80E3D0C3 Q34541779-796624BB-BC93-4DE6-B7C4-4202DE279BBA Q34547497-2EAB3B76-B1BC-406A-8923-B0021DB3672D Q34559139-519E25B7-6265-4850-AB70-8C13F6BDA658 Q34577463-8B27D6D5-7DFD-43F6-9FDD-045C1F9499BB Q34763431-D2B773E6-B832-4D39-B059-FD485DEB04CB Q34847101-92FF27E0-C6C0-43AB-B617-5CAF670EE7C1 Q34982560-79C94C12-3FC6-49D1-8B40-83E84E83905D Q35656247-73351109-A6FF-42C9-B63D-6020A5C17A3F Q35664216-84D7C0C9-25C2-4BB8-8B19-7496F18ED0E3 Q35718294-8E49E4A8-A415-46AB-8E3E-94B89238B49C Q35790237-B2AD5935-F3EC-4189-B747-076D66D1B062 Q35803623-489B9BEF-3DBA-4894-8178-85978AC82FB0 Q35991148-3EE66155-D26A-49B2-BC97-35A0CE39EB93 Q36236135-AF28B281-97A3-48CC-983C-A42D53A31A21 Q36411401-48B7D8E2-C07B-438C-9D53-812C27EF0402 Q36416365-CE7D3837-A87C-4D9C-B6F9-8EBCFD9692D5 Q36531572-406EAD4A-7015-49A3-B6EC-5FA835DE20E4 Q37069074-CA9223CB-C01E-464D-B98F-71D67EB3C5AF Q37091852-0679C65B-C168-4BDC-B2AB-57935DEE81BE Q37213151-1477ADEB-F3B3-46B3-9CAF-A8415DFEDB6B

P2860

Differences in gene expression in prostate cancer, normal appearing prostate tissue adjacent to cancer and prostate tissue from cancer free organ donors

http://www.wikidata.org/entity/Q24815497

description

2005 nî lūn-bûn

@nan

2005 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2005 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2005年の論文

@ja

2005年論文

@yue

2005年論文

@zh-hant

2005年論文

@zh-hk

2005年論文

@zh-mo

2005年論文

@zh-tw

2005年论文

@wuu

name

Differences in gene expression ...... from cancer free organ donors

@ast

Differences in gene expression ...... from cancer free organ donors

@en

Differences in gene expression ...... from cancer free organ donors

@nl

type

label

Differences in gene expression ...... from cancer free organ donors

@ast

Differences in gene expression ...... from cancer free organ donors

@en

Differences in gene expression ...... from cancer free organ donors

@nl

prefLabel

Differences in gene expression ...... from cancer free organ donors

@ast

Differences in gene expression ...... from cancer free organ donors

@en

Differences in gene expression ...... from cancer free organ donors

@nl

P1433

Q24815497-CC693C7D-2BF6-4CA1-8357-762DC517A895

P1476

Q24815497-963F82A9-BB5A-4415-9431-4A9723EE02BE

P2093

Q24815497-23F4EB96-0EA1-46B5-BE3F-A9F28BEAFA0D

Q24815497-2EB54BB8-48F6-495F-8279-AAE4A7EACF7C

Q24815497-41130010-7154-476E-9BC8-B8B3032C9B1B

Q24815497-9A8386D8-43CC-44A3-8FA2-82F360CF1D72

Q24815497-B2D13ED8-95F6-4A63-8CF8-F9B73FE4A3FF

Q24815497-CBD58804-5F99-4CF7-AC27-0FA56FD871E9

P2860

Q24815497-0A0AB804-14CC-47B2-B823-A6DAEE93048E

Q24815497-2A47A2F5-5C27-4713-81AA-A5E85615379C

Q24815497-389C651A-6A58-44CE-8B34-E129BF6B7895

Q24815497-39013763-9F9D-4D3E-A961-499A35BA9446

Q24815497-3CCCCC37-0645-4D1E-9B88-5920F7067B4D

Q24815497-3D89E292-A21D-4B36-8CAB-28B800597437

Q24815497-3F6A14C5-566D-4D79-85DC-C245D5859121

Q24815497-4039A761-3680-45B8-A8D7-F15C52996393

Q24815497-4A0CDB77-4584-4D08-8181-3EE9A0D63EEF

Q24815497-5861A21B-F76D-46C3-A19E-D0A3ACDA90A1

P2888

Q24815497-729F3831-7F46-488E-975D-AECFFD6A2F7A

P304

Q24815497-C1ED457F-7A80-43F2-A7EE-118410786303

P31

Q24815497-C241C5A1-2C39-4B57-A34D-EFDDF3815937

P356

Q24815497-DD655F48-7E81-42E6-8676-7243D9892E85

P407

Q24815497-424EB9AE-2E5F-479C-B12C-1146DCD0D910

P433

Q24815497-D69691B7-B51D-4D43-82B2-086A496F9BB4

P478

Q24815497-32A01C0B-7E12-4715-BAE5-2C94CB8095D4

P577

Q24815497-4C45F954-818E-4749-B38F-EFD1E4D3EB12

P5875

Q24815497-B9ECC8CC-2FFF-49AD-B372-3AA3433EB5E6

P6179

Q24815497-3A05B013-FD44-4833-8F40-C76A8A751784

P698

Q24815497-C7BFFC07-1867-409F-A460-D4D6A9EF0298

P932

Q24815497-B3B61272-FEEC-4850-A0FA-02AEA777FB7A

P356

P1433

P1476

Differences in gene expression ...... from cancer free organ donors

@en

P2093

Changqing Ma

http://www.w3.org/2001/XMLSchema#string

George Michalopoulos

http://www.w3.org/2001/XMLSchema#string

John Gilbertson

http://www.w3.org/2001/XMLSchema#string

Michael Becich

http://www.w3.org/2001/XMLSchema#string

Rajiv Dhir

http://www.w3.org/2001/XMLSchema#string

Uma R Chandran

http://www.w3.org/2001/XMLSchema#string

P2860

Gene ontology: tool for the unification of biology

Significance analysis of microarrays applied to the ionizing radiation response

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

Gene expression profiling predicts clinical outcome of breast cancer

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

Gene-expression profiles predict survival of patients with lung adenocarcinoma

Multiclass cancer diagnosis using tumor gene expression signatures

Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses

Delineation of prognostic biomarkers in prostate cancer

Prediction of central nervous system embryonal tumour outcome based on gene expression

P2888

P304

45

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/1471-2407-5-45

http://www.w3.org/2001/XMLSchema#string

P407

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

5

http://www.w3.org/2001/XMLSchema#string

P577

2005-05-13T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

7848272

http://www.w3.org/2001/XMLSchema#string

P6179

1013311983

http://www.w3.org/2001/XMLSchema#string

P698

15892885

http://www.w3.org/2001/XMLSchema#string

P932

1173092

http://www.w3.org/2001/XMLSchema#string