Role of Ck-19, Hbme-1 and Galectin-3 in Prediction of Prognosis of Papillary Thyroid Carcinoma â€“ An Experience from a Tertiary Care Centre

Dr. Samir Ranjan Bhowmik; Dr. Keya Basu; Dr. Subhrajyoti Karmakar; Dr. Ananya Biswas; Dr. Moumita Sengupta; Dr. Sriranjan Mukherjee; Dr. Sujoy Ghosh

Role of Ck-19, Hbme-1 and Galectin-3 in Prediction of Prognosis of Papillary Thyroid Carcinoma – An Experience from a Tertiary Care Centre

Dr. Samir Ranjan Bhowmik * §

Contact

Dr. Keya Basu

Contact

Dr. Ananya Biswas

Contact

Dr. Moumita Sengupta

Contact

Dr. Sriranjan Mukherjee

Contact

Dr. Sujoy Ghosh

Contact

§ Institute of Postgraduate Medical Education and Rese...

Role of Ck-19, Hbme-1 and Galectin-3 in Prediction of Prognosis of Papillary Thyroid Carcinoma – An Experience from a Tertiary Care Centre

Article Fingerprint

ReserarchID

MRNK849

Role of Ck-19, Hbme-1 and Galectin-3 in Prediction of Prognosis of Papillary Thyroid Carcinoma – An Experience from a Tertiary Care Centre Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant

References

19 Cites in Article

Reference Format

Dina El Demellawy,Ahmed Nasr,Salem Alowami (2008). Application of CD56, P63 and CK19 immunohistochemistry in the diagnosis of papillary carcinoma of the thyroid.
Michel Nasr,Sanjay Mukhopadhyay,Shengle Zhang,Anna-Luise Katzenstein (2006). Immunohistochemical markers in diagnosis of papillary thyroid carcinoma: utility of HBME1 combined with CK19 immunostaining.
David Finley,Nimmi Arora,Baixin Zhu,Lisa Gallagher,Thomas Fahey (2004). Molecular Profiling Distinguishes Papillary Carcinoma from Benign Thyroid Nodules.
A Balta,A Filiz,Kurt Sucullu,I Yucel,E Akin,M (2012). Prognostic value of oncoprotein expressions in thyroid papillary carcinoma.
V Livolsi (1990). Surgical pathology of the thyroid.
J Rosai,M Carcangiu,R Delellis (1992). Unknown Title.
De Matos,P S Ferreira,A Oliveira Facuri,F Assumpcao,L,Metze Ward,L S (2005). Usefulness of HBME-1, cytokeratin 19 and galectin-3 immunostaining in the diagnosis of thyroid malignancy.
Sven Saussez,Daniel Glinoer,Gilbert Chantrain,Francois Pattou,Bruno Carnaille,Sabine André,Hans-Joachim Gabius,Guy Laurent (2008). Serum Galectin-1 and Galectin-3 Levels in Benign and Malignant Nodular Thyroid Disease.
R Delellis,E Williams (2004). The WHO classification of tumours of endocrine organs.
E D Rossi,M Raffaelli,A Mule',A Miraglia,C P Lombardi,F Vecchio,G Fadda (2006). Simultaneous immunohistochemical expression of HBME‐1 and galectin‐3 differentiates papillary carcinomas from hyperfunctioning lesions of the thyroid.
Zubair Baloch,Susan Abraham,Shelly Roberts,Virginia Livolsi (1999). Differential expression of cytokeratins in follicular variant of papillary carcinoma: An immunohistochemical study and its diagnostic utility.
T Yoshii,H Inohara,Y Takenaka,Y Honjo,S Akahani,T Nomura,A Raz,T Kubo (2001). Galectin-3 maintains the transformed phenotype of thyroid papillary carcinoma cells.
Sven Saussez,Daniel Glinoer,Gilbert Chantrain,Francois Pattou,Bruno Carnaille,Sabine André,Hans-Joachim Gabius,Guy Laurent (2008). Serum Galectin-1 and Galectin-3 Levels in Benign and Malignant Nodular Thyroid Disease.
Z Liu,X Xun,Y Wang,L Mei,L He,W Zeng,C Wang,H Tao (2014). MRI and ultrasonography detection of cervical lymph node metastases in differentiated thyroid carcinoma before reoperation.
Sophie Leboulleux,Lars Bastholt,Thomas Krause,Christelle De La Fouchardiere,Jan Tennvall,Ahmad Awada,José Gómez,Françoise Bonichon,Laurence Leenhardt,Christine Soufflet,Muriel Licour,Martin Schlumberger (2012). Vandetanib in locally advanced or metastatic differentiated thyroid cancer: a randomised, double-blind, phase 2 trial.
Tijana Isic Dencic,Dubravka Cvejic,Ivan Paunovic,Svetislav Tatic,Marija Havelka,Svetlana Savin (2013). Cytokeratin19 expression discriminates papillary thyroid carcinoma from other thyroid lesions and predicts its aggressive behavior.
Gomez Saez,J (2010). Diagnostic usefulness of tumor markers in the thyroid cytological samples extracted by fine-needle aspiration biopsy.
M L Prasad,N Pellegata,Y Huang (2005). Galectin-3, fibro -nectin-1, CITED-1, HBME-1 and cytokeratin-19 immunohistochemistry. is useful for the differential diagnosis of thyroid tumors.
Tiziana Pisani,Maria Giovagnoli,Francesco Intrieri,Aldo Vecchione (2004). Tall Cell Variant of Papillary Carcinoma Coexisting with Chronic Lymphocytic Thyroiditis.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Samir Ranjan Bhowmik, Dr. Subhrajyoti Karmakar, Dr. Ananya Biswas, Dr. Moumita Sengupta, Dr. Sriranjan Mukherjee, Dr. Sujoy Ghosh. 2019. "Role of Ck-19, Hbme-1 and Galectin-3 in Prediction of Prognosis of Papillary Thyroid Carcinoma – An Experience from a Tertiary Care Centre". Global Journal of Medical Research - C: Microbiology & Pathology GJMR-C Volume 19 (GJMR Volume 19 Issue C1).

More Citation Formats

Select Citation Style:

Download Citation

GJMR Volume 19 Issue C1

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords

Not Found

Classification

GJMR-C Classification NLMC Code: WQ 4

Submission ReceivedDecember 13, 2018
Peer Review Double Blind
Handling Editor
Accepted January 2, 2019
Published January 15, 2019

Version of record

v1.2

Issue date

August 17, 2019

Language

English

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 182

Country: India

Subject: Global Journal of Medical Research

Authors: Dr. Samir Ranjan Bhowmik, Dr. Keya Basu, Dr. Subhrajyoti Karmakar, Dr. Ananya Biswas, Dr. Moumita Sengupta, Dr. Sriranjan Mukherjee, Dr. Sujoy Ghosh (PhD/Dr. count: 7)

View Count (all-time): 294

Total Views (Real + Logic): 1258

Total Downloads (simulated): 108

Publish Date: 2019 01, Tue

Monthly Totals (Real + Logic):

Month 1: 61 views
Month 2: 53 views
Month 3: 42 views
Month 4: 56 views
Month 5: 36 views
Month 6: 23 views
Month 7: 46 views
Month 8: 25 views
Month 9: 22 views
Month 10: 27 views
Month 11: 34 views
Month 12: 32 views
Month 13: 35 views
Month 14: 35 views
Month 15: 36 views
Month 16: 25 views
Month 17: 25 views
Month 18: 21 views
Month 19: 32 views
Month 20: 13 views
Month 21: 34 views
Month 22: 32 views
Month 23: 40 views
Month 24: 35 views
Month 25: 22 views
Month 26: 25 views
Month 27: 16 views
Month 28: 44 views
Month 29: 18 views
Month 30: 49 views
Month 31: 24 views
Month 32: 38 views
Month 33: 31 views
Month 34: 30 views
Month 35: 40 views
Month 36: 25 views
Month 37: 42 views
Month 38: 21 views
Month 39: 19 views
Month 40: 44 views
Month 41: 20 views
Month 42: 18 views
Month 43: 37 views
Month 44: 31 views
Month 45: 23 views
Month 46: 46 views
Month 47: 29 views
Month 48: 22 views
Month 49: 31 views
Month 50: 17 views
Month 51: 23 views
Month 52: 30 views
Month 53: 37 views
Month 54: 19 views
Month 55: 38 views
Month 56: 20 views
Month 57: 22 views
Month 58: 37 views
Month 59: 17 views
Month 60: 26 views
Month 61: 31 views
Month 62: 36 views
Month 63: 20 views
Month 64: 21 views
Month 65: 38 views
Month 66: 23 views
Month 67: 36 views
Month 68: 41 views
Month 69: 40 views
Month 70: 31 views
Month 71: 44 views
Month 72: 27 views
Month 73: 36 views
Month 74: 37 views
Month 75: 22 views
Month 76: 33 views
Month 77: 51 views
Month 78: 55 views
Month 79: 51 views
Month 80: 33 views
Month 81: 40 views
Month 82: 46 views
Month 83: 29 views
Month 84: 36 views
Month 85: 18 views
Month 86: 32 views
Month 87: 21 views
Month 88: 44 views
Month 89: 48 views
Month 90: 33 views
Month 91: 33 views
Month 92: 45 views
Month 93: 32 views

Total Views: 1.3K

Total Downloads: 108

All Trends