CC BY 4.0 · Indian J Med Paediatr Oncol 2023; 44(03): 345-352
DOI: 10.1055/s-0043-1761412
Original Article

Prognostic Significance of Various Clinicopathologic Parameters and BRAF V600E Mutation in Papillary Thyroid Microcarcinoma—An Observational Study

Sobiya Mahnaz Ayesha
1   Department of Pathology, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, Telangana, India
,
Monalisa Hui
1   Department of Pathology, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, Telangana, India
,
Shantveer G Uppin
1   Department of Pathology, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, Telangana, India
,
Megha Shantveer Uppin
1   Department of Pathology, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, Telangana, India
,
Shubhranshu Jena
2   Department of Surgical Oncology, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, Telangana, India
,
Rajsekhar Shanthappa Patil
2   Department of Surgical Oncology, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, Telangana, India
,
Ranganath Ratnagiri
2   Department of Surgical Oncology, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, Telangana, India
,
1   Department of Pathology, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, Telangana, India
› Author Affiliations

Abstract

Introduction A specific subset of papillary microcarcinoma of thyroid (PMC) can metastasize regionally and to distant organs, and thus, have a significant effect on the overall survival of the patient cohort.

Objectives We aim to analyze the prognostic significance of various clinicopathologic parameters including BRAFV600E mutation by immunohistochemistry in PMC, in order to identify the subset of cases with aggressive behavior.

Materials and Methods Data regarding the PMC cases was retrieved retrospectively from medical records. The clinicopathologic factors like age, tumor size, focality, capsular invasion, histologic subtype, lymphovascular invasion, perithyroidal fat invasion (PTFI), lymph node (LN) metastasis, and distant metastasis were studied in depth. Tissue microarray was constructed to perform immunohistochemistry with CK19 and BRAFV600E. Information regarding overall survival (OS) and development of metastasis, if any, was noted. Chi-squared test was performed to know the association between various factors. To determine odds ratio, logistic regression was done. Survival analysis was done using Kaplan–Meier and Cox-regression analysis.

Results PMC was diagnosed in 48 patients (M:F = 1:2.4), between 22 and 70 years of age (median = 46.5 years). Chi-squared test showed significant association of fibrosis with tumor size more than or equal to 0.5 cm, infiltrative borders, PTFI, and LN metastasis. Tumor size was also associated with infiltrative borders; and LN metastasis with PTFI. BRAFV600E positivity showed significant association with histologic pattern, PTFI and distant metastasis. On logistic regression, tumor size showed significantly increased odds ratio with presence of fibrosis and infiltrative borders. Presence of fibrosis also showed significant association with infiltrative borders and LN metastasis. BRAF V600E had significantly increased odds ratio with histologic pattern, both on univariate and multivariate logistic regression. Kaplan–Meier analysis revealed significantly reduced OS with presence of LN metastases (p-value = 0.050, log-rank test). Cox-regression did not yield a significant hazard ratio for the various factors studied.

Conclusion This study shows association of LN metastasis with intratumoral fibrosis, PTFI and reduced OS. Intratumoral fibrosis was also associated with tumor size more than 5mm, infiltrative borders and PTFI. Increasing tumor size and infiltrative borders also showed an association. In addition, BRAFV600E positivity was found to be associated with histologic pattern, PTFI and distant metastasis.

Authors' Contributions

Sobiya Mahnaz Ayesha contributed to designing, definition of intellectual content; literature search, experimental studies, data acquisition, data analysis, statistical analysis, manuscript preparation, editing and review; Monalisa Hui helped in designing, definition of intellectual content; literature search, experimental studies, data analysis, statistical analysis, manuscript preparation, editing and review; Shantveer G Uppin helped in conceptualization, designing, definition of intellectual content, literature search, experimental studies, data analysis, statistical analysis, manuscript preparation, editing and review; Megha Shantveer Uppin and Tara Roshni Paul helped in definition of intellectual content, manuscript preparation, editing, and review; Shubhranshu Jena, Rajsekhar Shanthappa Patil, and Ranganath Ratnagiri contributed to definition of intellectual content, clinical studies, manuscript preparation, editing, and review. Shantveer G Uppin has provided guarantee.


Ethics approval obtained from the institutional ethics committee (letter no.EC/NIMS/2809/2021).


Supplementary Material



Publication History

Article published online:
12 May 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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