Programmed cell death-ligand 1 expression in correlation with human papillomavirus status in cervical cancer: A 1-year retrospective study
Background: Programmed cell death-ligand 1 (PD-L1) is an immunosuppressive molecule which regulates T-cell activation. The objective of the study was to enumerate PD-L1 expression profile of cervical carcinoma and correlate it with various histopathological features along with human papillomavirus (...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2025-01-01
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Series: | Journal of Clinical and Scientific Research |
Subjects: | |
Online Access: | https://journals.lww.com/10.4103/jcsr.jcsr_24_24 |
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Summary: | Background:
Programmed cell death-ligand 1 (PD-L1) is an immunosuppressive molecule which regulates T-cell activation. The objective of the study was to enumerate PD-L1 expression profile of cervical carcinoma and correlate it with various histopathological features along with human papillomavirus (HPV) status.
Methods:
This was a hospital-based retrospective study of 1-year duration. Records of patients with cervical cancer were reviewed, and 40 cases were taken for tissue microarray. Immunohistochemistry with p16 and PD-L1 was done, and association between PD-L1 expression with age, histopathological features and HPV status was studied.
Results:
PD-L1 was positive in 2 (2b), low positive (LP) in 14 and score 1a = 10, 1b = 4 and negative = 24 cases. Squamous cell carcinomas (SCCs) (n = 36), PDL-1 was positive in 2, LP 12 and negative in 22. HPV associated [HPVA] tumours were 36 and HPV independent [HPVI] tumours were 4. PD-L1 expression was more in HPVA (15/36, 41.6%) than HPVI (1/4). Adenocarcinoma (n = 1) was PD-L1 LP (1a) and HPVA. Adenosquamous carcinomas (n = 2), both were negative for PDL-1 and were HPVA. Small-cell neuroendocrine carcinoma (n = 1) was PDL-1 positive (1b) and HPVA.
Conclusion:
PD-L1 expression was 40% and was independent of morphology and grade, more commonly associated with HPV. |
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ISSN: | 2277-5706 2277-8357 |