Thyroid Cancer Prediction Using Gene Expression Profile, Pharmacogenomic Variants And Quantum Image Processing In Deep Learning Platform-A Theranostic Approach

Author(s):  
Vaishnavi Sajeev ◽  
A M Hima Vyshnavi ◽  
P K Krishnan Namboori
2020 ◽  
Vol 4 (12) ◽  
pp. 1213-1215 ◽  
Author(s):  
T. Y. Alvin Liu ◽  
Hongxi Zhu ◽  
Haomin Chen ◽  
J. Fernando Arevalo ◽  
Ferdinand K. Hui ◽  
...  

2011 ◽  
Vol 47 (3) ◽  
pp. R91-R103 ◽  
Author(s):  
Dagmara Rusinek ◽  
Sylwia Szpak-Ulczok ◽  
Barbara Jarzab

This review describes the gene expression profile changes associated with the presence of different mutations that contribute to thyroid cell carcinogenesis. The results are discussed in the context of thyroid cancer biology and of the implications for disease prognosis, while the diagnostic aspect has been omitted. For papillary thyroid cancer (PTC), the most characteristic gene expression profile is associated with the presence ofBRAFmutation. BRAF-associated PTC differ profoundly from RET/PTC or RAS-associated cancers. Simultaneously, they retain many characteristic gene expression features common for all PTCs, induced by the alternative mutations activating MAPK pathway. Although the difference between papillary and follicular thyroid cancer (FTC) is significant at the gene expression profile level, surprisingly, the RAS-related signature of FTC is not well specified.PAX8/peroxisome proliferator-activated receptor γ (PPARγ) rearrangements, which occur in FTC as an alternative to theRASmutation, are associated with specific changes in gene expression. Furthermore, the difference between well-differentiated thyroid cancers and poorly differentiated and anaplastic thyroid cancers is mainly a reflection of tumor degree of differentiation and may not be attributed to the presence of characteristic mutations.


2005 ◽  
Vol 65 (4) ◽  
pp. 1587-1597 ◽  
Author(s):  
Barbara Jarząb ◽  
Małgorzata Wiench ◽  
Krzysztof Fujarewicz ◽  
Krzysztof Simek ◽  
Michał Jarząb ◽  
...  

Surgery Today ◽  
2021 ◽  
Author(s):  
Masahiro Shibata ◽  
Takahiro Inaishi ◽  
Takahiro Ichikawa ◽  
Dai Shimizu ◽  
Ikumi Soeda ◽  
...  

Pathobiology ◽  
2020 ◽  
Vol 87 (Suppl. 2) ◽  
pp. 143-154 ◽  
Author(s):  
Malgorzata Oczko-Wojciechowska ◽  
Aleksandra Pfeifer ◽  
Michal Jarzab ◽  
Michał Swierniak ◽  
Dagmara Rusinek ◽  
...  

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