HMGI(Y) gene expression as a potential marker of thyroid follicular carcinoma

2004 ◽  
Vol 389 (3) ◽  
pp. 193-197 ◽  
Author(s):  
W. Czyż ◽  
E. Balcerczak ◽  
M. Jakubiak ◽  
Z. Pasieka ◽  
K. Kuzdak ◽  
...  
Keyword(s):  
Gene Expression ◽  
Follicular Carcinoma ◽  
Potential Marker ◽  
Thyroid Follicular Carcinoma

Clinical Menifestation and Anaylsis of Thyroid Follicular Carcinoma

2010 ◽  
Vol 53 (1) ◽  
pp. 30 ◽  
Author(s):  
Jeong A Mo ◽  
Guk Haeng Lee ◽  
Byeong Chol Lee ◽  
Myung Chul Lee ◽  
Moon Sang Jung ◽  
...  
Keyword(s):  
Follicular Carcinoma ◽  
Thyroid Follicular Carcinoma

scholarly journals Construction of a competitive endogenous RNA network and analysis of potential regulatory axis targets in glioblastoma

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kai Yu ◽  
Huan Yang ◽  
Qiao-li Lv ◽  
Li-chong Wang ◽  
Zi-long Tan ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Differentially Expressed Genes ◽  
Pearson Correlation ◽  
Differentially Expressed ◽  
Migration And Invasion ◽  
Glioblastoma Cells ◽  
Network Chain ◽  
Cerna Network ◽  
Potential Marker

Abstract Background Glioblastoma is the most common primary malignant brain tumor. Because of the limited understanding of its pathogenesis, the prognosis of glioblastoma remains poor. This study was conducted to explore potential competing endogenous RNA (ceRNA) network chains and biomarkers in glioblastoma by performing integrated bioinformatics analysis. Methods Transcriptome expression data from The Cancer Genome Atlas database and Gene Expression Omnibus were analyzed to identify differentially expressed genes between glioblastoma and normal tissues. Biological pathways potentially associated with the differentially expressed genes were explored by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, and a protein-protein interaction network was established using the STRING database and Cytoscape. Survival analysis using Gene Expression Profiling Interactive Analysis was based on the Kaplan–Meier curve method. A ceRNA network chain was established using the intersection method to align data from four databases (miRTarBase, miRcode, TargetScan, and lncBace2.0), and expression differences and correlations were verified by quantitative reverse-transcription polymerase chain reaction analysis and by determining the Pearson correlation coefficient. Additionally, an MTS assay and the wound-healing and transwell assays were performed to evaluate the effects of complement C1s (C1S) on the viability and migration and invasion abilities of glioblastoma cells, respectively. Results We detected 2842 differentially expressed (DE) mRNAs, 2577 DE long non-coding RNAs (lncRNAs), and 309 DE microRNAs (miRNAs) that were dysregulated in glioblastoma. The final ceRNA network consisted of six specific lncRNAs, four miRNAs, and four mRNAs. Among them, four DE mRNAs and one DE lncRNA were correlated with overall survival (p < 0.05). C1S was significantly correlated with overall survival (p= 0.015). In functional assays, knockdown of C1S inhibited the proliferation and invasion of glioblastoma cell lines. Conclusions We established four ceRNA networks that may influence the occurrence and development of glioblastoma. Among them, the MIR155HG/has-miR-129-5p/C1S axis is a potential marker and therapeutic target for glioblastoma. Knockdown of C1S inhibited the proliferation, migration, and invasion of glioblastoma cells. These findings clarify the role of the ceRNA regulatory network in glioblastoma and provide a foundation for further research.

scholarly journals RASPoint Mutations and PAX8-PPARγ Rearrangement in Thyroid Tumors: Evidence for Distinct Molecular Pathways in Thyroid Follicular Carcinoma

2003 ◽  
Vol 88 (5) ◽  
pp. 2318-2326 ◽  
Author(s):  
Marina N. Nikiforova ◽  
Roy A. Lynch ◽  
Paul W. Biddinger ◽  
Erik K. Alexander ◽  
Gerald W. Dorn ◽  
...  
Keyword(s):  
Follicular Carcinoma ◽  
Molecular Pathways ◽  
Thyroid Tumors ◽  
Thyroid Follicular Carcinoma

Metachronous anaplastic sarcoma of the kidney and thyroid follicular carcinoma as manifestations of DICER1 abnormalities

2017 ◽  
Vol 61 ◽  
pp. 205-209 ◽  
Author(s):  
Misa Yoshida ◽  
Satoshi Hamanoue ◽  
Masafumi Seki ◽  
Mio Tanaka ◽  
Kenichi Yoshida ◽  
...  
Keyword(s):  
Follicular Carcinoma ◽  
Thyroid Follicular Carcinoma

p53 in a Thyroid Follicular Carcinoma with Foci of Poorly Differentiated and Anaplastic Carcinoma

1996 ◽  
Vol 192 (12) ◽  
pp. 1242-1249 ◽  
Author(s):  
X. Matias-Guiu ◽  
A. Villanueva ◽  
M. Cuatrecasas ◽  
G. Capella ◽  
A. De_leiva ◽  
...  
Keyword(s):  
Follicular Carcinoma ◽  
Anaplastic Carcinoma ◽  
Thyroid Follicular Carcinoma ◽  
Poorly Differentiated

Thyroid Follicular Carcinoma-like Tumor of Kidney

2006 ◽  
Vol 30 (3) ◽  
pp. 411-415 ◽  
Author(s):  
Soo Jin Jung ◽  
Jae Il Chung ◽  
Sun Hwa Park ◽  
Alberto G. Ayala ◽  
Jae Y. Ro
Keyword(s):  
Follicular Carcinoma ◽  
Thyroid Follicular Carcinoma

scholarly journals Thyroid Follicular Carcinoma in a Fourteen-year-old Girl with Graves’ Disease

2014 ◽  
Vol 23 (2) ◽  
pp. 59-64
Author(s):  
Kanako Kojima-Ishii ◽  
Kenji Ihara ◽  
Kazuhiro Ohkubo ◽  
Terumichi Matsuo ◽  
Naoko Toda ◽  
...  
Keyword(s):  
Follicular Carcinoma ◽  
Graves Disease ◽  
Thyroid Follicular Carcinoma

scholarly journals A case of equine thyroid follicular carcinoma accompanied with adenohypophysial adenoma.

1987 ◽  
Vol 49 (3) ◽  
pp. 551-554 ◽  
Author(s):  
Shuichi CHIBA ◽  
Kosuke OKADA ◽  
Sigeru NUMAKUNAI ◽  
Kan-ichi OHSHIMA
Keyword(s):  
Follicular Carcinoma ◽  
Thyroid Follicular Carcinoma
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