scholarly journals Loss of Integrase Interactor 1 (INI1) Expression in a Subset of Differentiated Thyroid Cancer

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 280 ◽  
Author(s):  
Kung-Chen Ho ◽  
Jie-Jen Lee ◽  
Chi-Hsin Lin ◽  
Ching-Hsiang Leung ◽  
Shih-Ping Cheng

Alterations in the switching defective/sucrose non-fermenting (SWI/SNF) chromatin-remodeling complex are enriched in advanced thyroid cancer. Integrase interactor 1 (INI1), encoded by the SMARCB1 gene on the long arm of chromosome 22, is one of the core subunits of the SWI/SNF complex. INI1 immunohistochemistry is frequently used for the diagnosis of malignant rhabdoid neoplasms. In the present study, we found normal and benign thyroid tissues generally had diffusely intense nuclear immunostaining. Loss of INI1 immunohistochemical expression was observed in 8% of papillary thyroid cancer and 30% of follicular thyroid cancer. Furthermore, loss of INI1 expression was associated with extrathyroidal extension (p < 0.001) and lymph node metastasis (p = 0.038). Analysis of The Cancer Genome Atlas database revealed that SMARCB1 underexpression was associated with the follicular variant subtype and aneuploidy in papillary thyroid cancer. We speculate that SMARCB1 is an important effector in addition to NF2 and CHEK2 inactivation among thyroid cancers with chromosome 22q loss.

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Tomasz Stokowy ◽  
Danuta Gawel ◽  
Bartosz Wojtas

Papillary thyroid cancer (PTC) can be divided into classical variant of PTC (cPTC), follicular variant of PTC (fvPTC), and tall cell variant (tcPTC). These variants differ in their histopathology and cytology; however, their molecular background is not clearly understood. Our results shed some new light on papillary thyroid cancer biology as new direct miRNA-gene regulations are discovered. The Cancer Genome Atlas (TCGA) 466 thyroid cancer samples were studied in parallel datasets to discover potential miRNA-mRNA regulations. Additionally, miRNAs and genes differentiating PTC variants (cPTC, fvPTC, and tcPTC) were indicated. Putative miRNA regulatory pairs were discovered: hsa-miR-146b-5p with PHKB and IRAK1, hsa-miR-874-3p with ITGB4 characteristic for classic PTC samples, and hsa-miR-152-3p with TGFA characteristic for follicular variant PTC samples. MiRNA-mRNA regulations discovery opens a new perspective in understanding of PTC biology. Furthermore, our successful pipeline of miRNA-mRNA regulatory pathways discovery could serve as a universal tool to find new miRNA-mRNA regulations, also in different datasets.


2020 ◽  
Vol 21 (17) ◽  
pp. 6445
Author(s):  
Aistė Kondrotienė ◽  
Albertas Daukša ◽  
Daina Pamedytytė ◽  
Mintautė Kazokaitė ◽  
Aurelija Žvirblienė ◽  
...  

We analyzed five miRNA molecules (miR-221; miR-222; miR-146b; miR-21; miR-181b) in the plasma of patients with papillary thyroid cancer (PTC), nodular goiter (NG) and healthy controls (HC) and evaluated their diagnostic value for differentiation of PTC from NG and HC. Preoperative PTC plasma miRNA expression (n = 49) was compared with plasma miRNA in the HC group (n = 57) and patients with NG (n = 23). It was demonstrated that miR-221; miR-222; miR-146b; miR-21 and miR-181b were overexpressed in preoperative PTC plasma samples compared to HC (p < 0.0001; p < 0.0001; p < 0.0001; p < 0.0001; p < 0.002; respectively). The upregulation in tumor tissue of these miRNAs was consistent with The Cancer Genome Atlas Thyroid Carcinoma dataset. A significant decrease in miR-21; miR-221; miR-146b and miR-181b expression was observed in the plasma of PTC patients after total thyroidectomy (p = 0.004; p = 0.001; p = 0.03; p = 0.036; respectively). The levels of miR-222 were significantly higher in the preoperative PTC compared to the NG group (p = 0.004). ROC curve (receiver operating characteristic curve) analysis revealed miR-222 as a potential marker in distinguishing PTC from NG (AUC 0.711; p = 0.004). In conclusion; circulating miR-222 profiles might be useful in discriminating PTC from NG.


Surgery ◽  
2017 ◽  
Vol 161 (6) ◽  
pp. 1642-1650 ◽  
Author(s):  
Ming-Nan Chien ◽  
Po-Sheng Yang ◽  
Jie-Jen Lee ◽  
Tao-Yeuan Wang ◽  
Yi-Chiung Hsu ◽  
...  

2018 ◽  
Vol 59 (6) ◽  
pp. 746 ◽  
Author(s):  
Sunghwan Suh ◽  
Yun Hak Kim ◽  
Tae Sik Goh ◽  
Dae Cheon Jeong ◽  
Chi-Seung Lee ◽  
...  

2016 ◽  
Vol 7 (3) ◽  
pp. 356-358
Author(s):  
Syed Nusrath ◽  
Munish Mahajan ◽  
T. Subramanyeshwar Rao ◽  
K. V. V. N. Raju ◽  
Sudha S. Murthy

2015 ◽  
Vol 16 (6) ◽  
pp. 1349 ◽  
Author(s):  
Jin Woo Choi ◽  
Tae Hyung Kim ◽  
Hong Gee Roh ◽  
Won-Jin Moon ◽  
Sang Hwa Lee ◽  
...  

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