Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Aug 13;26(16):7830.
doi: 10.3390/ijms26167830.

The Roles of PD-L1, Ki-67, P53, and Cyclin D1 in PitNETs: Diagnostic and Prognostic Implications in a Series of 74 Patients

Affiliations

The Roles of PD-L1, Ki-67, P53, and Cyclin D1 in PitNETs: Diagnostic and Prognostic Implications in a Series of 74 Patients

Anna Krzentowska et al. Int J Mol Sci. .

Abstract

Pituitary neuroendocrine tumors (PitNETs), also known as pituitary adenomas, are rare tumors that are usually benign. At present, the WHO PitNET classification based on transcription factors is in force. A problem is caused by invasive tumors and silent tumors which, despite a lack of obvious clinical symptoms, tend to behave aggressively. Factors influencing the clinical course of these tumors are currently being sought. The aim of our study was to assess the expression of programmed death-ligand 1 (PD-L1) and proliferation biomarkers (Ki-67, cyclin D1, and P53) in PitNETs depending on the transcription factor and adenoma subtype. The analysis was performed in seventy-four patients operated on in a single neurosurgical center for pituitary tumors. Immunohistochemistry was performed for transcription factors and biomarkers-PD-L1, Ki-67, P53, and cyclin D1-in tissue microarray format. Membranous expression of PD-L1 was scored as 0 (no expression) and ≥1%. Nuclear expression of Ki-67 was scored at <3% and ≥3%, and the expression of P53 and cyclin D1 was scored at <10% and ≥10%. The following tumors expressed PD-L1 at ≥1%: gonadotroph, 21 (28.4%); corticotroph, 5 (6.7%); gonadotroph/lactotroph, 2 (2.7%); null cell adenoma, 3 (4.0%); multiple synchronous PitNET, 2 (2.7%); immature PIT-1 tumor, 1 (1.3%); mature PIT-1 tumor, 1 (1.5%). Ki-67 ≥ 3% was found in the following PitNETs: gonadotroph, 3 (4.0%); corticotroph, 2 (2.7%); lactotroph, 1 (1.3%); multiple synchronous PitNET, 1 (1.3%); immature PIT-1 tumor, 1 (1.3%); and mature PIT-1 tumor, 1 (1.3%). Patients with Ki-67 ≥ 3% were statistically significantly younger (p = 0.03). All tumors (100%) with a combination of cyclin D1 ≥ 10% and P53 < 10% were invasive on the Hardy scale. Of the four factors, PD-L1 increased the odds of invasiveness the most (adjusted OR = 2.35; 95% CI: 0.56-9.90). PD-L1 expression was present in some types of PitNETs. PD-L1 expression may help in identifying null cell adenomas. High cyclin D1 with low P53 may indicate greater tumor invasiveness.

Keywords: Cyclin D1; Ki-67; P53; PD-L1; PitNETs; biomarkers; invasiveness; transcription factors.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
Results of the multivariate logistic regression analysis: odds ratios (ORs) and 95% confidence intervals (CIs) for biomarkers (PD-L1, P53, Ki-67, cyclin D1) in association with tumor invasiveness. Model fit statistics: Hosmer–Lemeshow χ2 = 3.63, p = 0.60; AUC = 0.64 (SE = 0.10); Cox–Snell R2 = 0.04; Nagelkerke R2 = 0.06.
Figure 2
Figure 2
Microphotographs of immunohistochemical staining of pituitary adenocarcinoma. (A) Membranous staining for PD-L1. (B) Nuclear staining for Ki-67. (C) Nuclear staining for P53. (D) Nuclear staining for cyclin D1. Magnification: 400×. In the upper-right corner of each micrograph, 1000× magnification is shown to visualize individual positively stained cells.

Similar articles

References

    1. Molitch M.E. Diagnosis and treatment of pituitary adenomas: A review. JAMA. 2017;317:516–524. doi: 10.1001/jama.2016.19699. - DOI - PubMed
    1. Melmed S. Pathogenesis of pituitary tumors. Nat. Rev. Endocrinol. 2011;7:257–266. doi: 10.1038/nrendo.2011.40. - DOI - PubMed
    1. Melmed S., Kaiser U.B., Lopes M.B., Bertherat J., Syro L.V., Raverot G., Reincke M., Johannsson G., Beckers A., Fleseriu M., et al. Clinical biology of the pituitary adenoma. Endocr. Rev. 2022;43:1003–1037. doi: 10.1210/endrev/bnac010. - DOI - PMC - PubMed
    1. Asa S.L., Casar-Borota O., Chanson P., Delgrange E., Earls P., Ezzat S., Grossman A., Ikeda H., Inoshita N., Karavitaki N., et al. From pituitary adenoma to pituitary neuroendocrine tumor (PITNET): An International Pituitary Pathology Club proposal. Endocr. Relat. Cancer. 2017;24:C5–C8. doi: 10.1530/ERC-17-0004. - DOI - PubMed
    1. Asa S.L., Mete O., Perry A., Osamura R.Y. Overview of the 2022 WHO classification of pituitary tumors. Endocr. Pathol. 2022;33:6–26. doi: 10.1007/s12022-022-09703-7. - DOI - PubMed

MeSH terms