Relationship Between Clinical Factors of Lymphoma DLBCL GCB and Non-GCB Subtype with Ki-67 Proliferation Index in Siloam Karawaci Hospital 2014 - 2018

Authors

  • Erna Kristiani Department of Histology, Faculty of Medicine, Pelita Harapan University, Tangerang, Banten, Indonesia
  • Stephanie Marisca Department of Histology, Faculty of Medicine, Pelita Harapan University, Tangerang, Banten, Indonesia
  • Tri Ulfatul Qurro Department of Medicine, Faculty of Medicine, Pelita Harapan University, Tangerang, Banten, Indonesia
  • Natasya Kweeswara Department of Medicine, Faculty of Medicine, Pelita Harapan University, Tangerang, Banten, Indonesia
  • Amos Immanuel Chandra Department of Medicine, Faculty of Medicine, Pelita Harapan University, Tangerang, Banten, Indonesia

DOI:

https://doi.org/10.19166/med.v11i1.7365

Keywords:

DLBCL, GCB, Non-GCB, Proliferation index Ki-67, Age, Gender, Location, Stadium

Abstract

Background: Non-Hodgkin large cell B-lymphoma (DLBCL: Diffuse Large B-cell Lymphoma) were classified into two subtypes of Germinal Center B-Cell Like (GCB) and non-Germinal Center B-Cell Like (non-GCB), which GCB has a better prognosis. The Ki-67 antigen is one of the most reliable markers of cell proliferation. This research aims to establish the relationship between proliferation index Ki-67 with DLBCL subtypes and to evaluate the utility of Ki-67 proliferative index as a predictive marker for predicting stages of lymphoma.

Methods: We obtained 60 cases of patient samples DLBCL in Siloam Hospital Lippo Karawaci in 2014-2018. Clinical and pathological data were obtained from medical records. Chi-square methods were used to analyze data.

Result: There were more ‰¤60 years compared to >60 years. In this study, there were more male patients than female patients. lymphoma provided in extranodal were higher than lymphoma in nodal form.

Conclusions: There is a relationship between Ki-67 proliferation index with lymphoma GCB and non-GCB subtypes and stage of lymphoma, which can be used as a predictive factor in predicting the stage of lymphoma.

References

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Published

2023-07-28

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Section

Clinical Research