Title

Role of immunohistochemistry in differentiating between reactive and malignant lymphoid hyperplasia - A cross-sectional study

Authors

Sakshi Chourasia¹, Seema Badkur², Ajit Kumar³ & Mitesh Shah^4,*

Affiliation

¹Department of Pathology, Government Medical College, Satna, Madhya Pradesh, India; ²Department of Community Medicine, Gandhi Medical College, Bhopal, Madhya Pradesh, India; ³Department of Radiation Oncology, SSMC and Sanjay Gandhi Memorial Hospital, Rewa, Madhya Pradesh India; ⁴Department of Pathology, Bundelkhand Medical College, Sagar, Madhya Pradesh, India; *Corresponding author

Email

Sakshi Chourasia - E-mail: sakshi.mbbs@yahoo.in

Seema Badkur - E-mail: dr.seemapatel04@gmail.com
Ajit Kumar - E-mail: dr.ajit.marko@gmail.com
Mitesh Shah - E-mail: drmiteshshah@gmail.com

Article Type

Research Article

Date

Received October 1, 2025; Revised October 31, 2025; Accepted October 31, 2025, Published October 31, 2025

Abstract

Differentiating reactive lymphoid hyperplasia from malignant lymphoma poses a diagnostic challenge due to overlapping clinical and histopathological features. Therefore, it is of interest to evaluate the utility of immunohistochemistry (IHC) in distinguishing benign reactive changes from malignant lymphoid proliferations. Lymph node biopsies from patients presenting with persistent lymphadenopathy were assessed histologically and subjected to a panel of IHC markers including CD3, CD20, CD10, BCL2 and Ki-67. The analysis revealed that IHC not only confirmed lineage specificity but also helped to identify aberrant antigen expression and proliferative indices characteristic of malignancy. Thus, we show the pivotal role of IHC in improving diagnostic accuracy, reducing misclassification and guiding appropriate therapeutic decisions in patients with lymphoid hyperplasia.

Keywords

Immunohistochemistry, reactive lymphoid hyperplasia, malignant lymphoma, diagnostic differentiation, cross-sectional study

Citation

Chourasia et al. Bioinformation 21(10): 3470-3474 (2025)

Edited by

A Prashanth

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.