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Title

Neuroendocrine tumors: A tertiary care hospital study on clinicopathology features and prognosis

 

Authors

Sreedevi Jakka1,*, Radhika Narayan1, Anil Prasad1, Minakshi Mishra1 & Amitabh Kumar Upadhyay2

 

Affiliation

1Department of Pathology, Tata Main Hospital and Manipal Tata Medical College, Jamshedpur, Jharkhand, India; 2Department of Medical Oncology, Tata Main Hospital, Jamshedpur, Jharkhand, India; *Corresponding author

 

Email

Sreedevi Jakka - E-mail: drjakkasreedevi@gmail.com
Radhika Narayan - E-mail: drrnarayan@tatasteel.com

Anil Prasad - E-mail: ap123890@gmail.com
Minakshi Mishra - E-mail: drmmishra@tatasteel.com
Amitabh Kumar Upadhyay - E-mail: dramit1111@gmail.com

 

Article Type

Research Article

 

Date

Received November 15, 2025; Revised December 15, 2025; Accepted December 15, 2025, Published December 15, 2025

 

Abstract

Neuroendocrine tumors (NETs) are rare, heterogeneous malignancies with variable progression and diverse clinical manifestations. Therefore, it is of interest to analyze 12 histologically and immunohistochemically confirmed NET cases diagnosed between 2021 and 2025. Biopsies were obtained from primary or metastatic sites and tumor grading was determined using histomorphology and Ki-67 index. The median age at diagnosis was 60 years (range 17–87), with a male predominance (M:F = 1.4:1). The stomach was the most common primary site (33%). Seven patients (59%) had nonfunctional symptoms, while five (41%) presented with functional manifestations such as hypoglycemia, abdominal distension and diarrhea. Metastatic disease was noted in 33% of cases. Chemotherapy was administered in two grade III NETs. Overall survival was 100% in grades I and II, whereas grade III had a mean survival of 15 months. NETs require precise histopathologic and immunohistochemical differentiation, particularly in high-grade forms, to enable timely diagnosis and improved management strategies.

 

Keywords

Neuroendocrine tumors, immunohistochemistry, Ki-67 index, tumor grading, survival analysis

 

Citation

Jakka et al. Bioinformation 21(12): 4414-4419 (2025)

 

Edited by

Vini Mehta

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.