mmunohistochemical and molecular genetic profiling in determining pathogenetic variants of malignant epithelial ovarian tumors

Authors

  • I.R. Hrytsay Municipal Non-Profit Enterprise of the Lviv Regional Council “Lviv Oncological Regional Treatment and Diagnostic Center”; Danylo Halytsky Lviv National Medical University, Lviv, Ukraine https://orcid.org/0009-0007-0751-6981
  • O.A. Petronchak “Western Ukrainian Histological Laboratory”, Lviv, Ukraine https://orcid.org/0000-0001-7703-3036
  • N.A. Volodko Danylo Halytsky Lviv National Medical University; Municipal Non-Profit Enterprise of the Lviv Regional Council “Lviv Oncological Regional Treatment and Diagnostic Center”, Lviv, Ukraine https://orcid.org/0000-0002-4478-5554

DOI:

https://doi.org/10.18370/2309-4117.2025.79.65-76

Keywords:

ovarian cancer, histology, carcinoma, immunohistochemistry, biomarkers, pathomorphological types, gene mutations, molecular profiling

Abstract

Objective of the study: to investigate immunohistochemical and molecular markers in tumor samples representing different pathomorphological types of ovarian cancer (OC) and assess their predictive value.
Materials and methods. A retrospective analysis was conducted on 37 tumor samples obtained from patients with OC through primary cytoreductive surgery, diagnostic laparoscopy with biopsy, or trephine biopsy of distant metastases. The study utilized an immunohistochemical panel assessing the expression of WT-1, p53, Napsin A, and progesterone receptors, along with a molecular genetic panel targeting mutations in HRR, TP53, and other key genes.
Results. Histological analysis identified the following tumor distribution: high-grade serous carcinoma (HGSC) – 19 cases (51.4%), endometrioid carcinoma (ENOC) – 7 (18.9%), clear cell carcinoma (CCC) – 7 (18.9%), and unclassified tumors – 4 (10.8%).
The distribution was revised following immunohistochemical analysis: HGSC – 21 cases (56.8%), ENOC – 7 (18.9%), CCC – 6 (16.2%), and low-grade serous carcinoma (LGSC) – 3 (8.1%). A discrepancy between pathomorphological and immunohistochemical diagnoses was observed in 21.6% of cases; however, immunohistochemical technique enabled a definitive subtype diagnosis in 97.3% of cases.
Among 21 HGSC cases, TP53 mutations were detected in 11 (50%) patients, BRCA1 in 5 (22.7%), BRCA2 in 2 (9.1%), CDK12 in 2 (9.1%), and one case each of AR (4.5%) and PIK3CA (4.5%).
In ENOC cases, BRCA1 mutations were found in 2 (25.6%) patients, TP53 in 3 (42.9%), and one case each – RAD51C (14.7%) and KRAS (14.7%).
In CCC, molecular profiling revealed mutations in the following genes: TP53 –1 case (16.7%), NBN – 1 case (16.7%), RAD51C – 1 case (16.7%). Overall, TP53 mutations were identified in 11 (52.4%) cases using next-generation sequencing, while p53 protein abnormalities were observed in 14 (66.7%) cases via immunohistochemical analysis.
Conclusions. Immunohistochemistry is essential for the accurate classification of malignant epithelial ovarian tumors. Concurrently, molecular profiling provides critical insights into homologous recombination repair deficiencies and reveals key mutations not only in HGSC but also in ENOC and CCC subtypes. Together, these tests support personalized treatment selection, including tailored chemotherapy regimens and targeted therapies, potentially enhancing treatment response and patient outcomes.

Author Biographies

I.R. Hrytsay, Municipal Non-Profit Enterprise of the Lviv Regional Council “Lviv Oncological Regional Treatment and Diagnostic Center”; Danylo Halytsky Lviv National Medical University, Lviv

oncologist of chemotherapy;
postgraduate student of the Department of Oncology and Radiology

O.A. Petronchak, “Western Ukrainian Histological Laboratory”, Lviv

pathologist

N.A. Volodko, Danylo Halytsky Lviv National Medical University; Municipal Non-Profit Enterprise of the Lviv Regional Council “Lviv Oncological Regional Treatment and Diagnostic Center”, Lviv

MD, professor, head of the Department of Oncology and Radiology;
gynecological oncologist at the Gynecological Department No. 1

References

  1. The Global Cancer Observatory. Source: Globocan 2018 [Internet]. World Health Organization: Geneva, Switzerland, 2019. Available from: https://gco.iarc.fr/en
  2. Bowtell DD, BГ¶hm S, Ahmed AA, et al. Rethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer. Nat Rev Cancer. 2015;15:668–79. DOI: 10.1038/nrc4019
  3. Jayson GC, Kohn EC, Kitchener HC, Ledermann JA. Ovarian cancer. Lancet. 2014;384(9951):1376–88. DOI: 10.1016/S0140-6736(13)62146-7
  4. Kossaï M, Leary A, Scoazec J-Y, Genestie C. Ovarian Cancer: A Heterogeneous Disease. Pathobiology. 2018;85(1-2):41–9. DOI: 10.1159/000479006.
  5. Reid BM, Permuth JB, Sellers TA. Epidemiology of ovarian cancer: a review. Cancer Biol Med 2017 Feb;14(1):9–32. DOI: 10.20892/j.issn.2095-3941.2016.0084
  6. KГ¶bel M, Kang EY. The Evolution of Ovarian Carcinoma Subclassification. Cancers (Basel). 2022 Jan 14;14(2):416. DOI: 10.3390/cancers14020416
  7. WHO. Classification of Tumours Editorial Board [Internet]. Female Genital Tumours, 5th ed.; International Agency for Research on Cancer: Lyon, France, 2020. Available from: https://publications.iarc.who.int/Book-And-Report-Series/Who-Classification-Of-Tumours/Female-Genital-Tumours-2020
  8. Santandrea G, Piana S, Valli R, et al. Immunohistochemical Biomarkers as a Surrogate of Molecular Analysis in Ovarian Carcinomas: A Review of the Literature. Diagnostics (Basel). 2021 Jan 29;11(2):199. DOI: 10.3390/diagnostics11020199
  9. Prat J, D’Angelo E, Espinosa I. Ovarian carcinomas: At least five different diseases with distinct histological features and molecular genetics. Hum. Pathol. 2018, 80, 11–27. DOI: 10.1016/j.humpath.2018.06.018
  10. Gilks CB, Davidson B, Köbel M, et al. Ovary, Fallopian Tube and Primary Peritoneal Carcinoma Histopathology Reporting Guide; International Collaboration on Cancer Reporting [Internet]. Sydney, Australia, 2021. Available from: https://discovery.ucl. ac.uk/id/eprint/10162283/8/Ledermann_ICCR%20 Ovarian%202nd%20edn%20-%20manuscript%20 2022-03-31%20no%20tracking.pdf
  11. Weren RDA, Mensenkamp AR, Simons M, et al. Novel BRCA1 and BRCA2 Tumor Test as Basis for Treatment Decisions and Referral for Genetic Counselling of Patients with Ovarian Carcinomas. Hum. Mutat. 2017, 38, 226–35. DOI: 10.1002/humu.23137
  12. Crusz SM, Miller RE. Targeted therapies in gynaecological cancers. Histopathology. 2020 Jan;76(1):157–70. DOI: 10.1111/his.14009.
  13. Köbel M, Piskorz AM, Lee S, et al. Optimized p53 immunohistochemistry is an accurate predictor of TP53 mutation in ovarian carcinoma. J. Pathol. Clin. Res. 2016. Jul 13;2(4):247–58. DOI: 10.1002/cjp2.53
  14. Wong RWC, Palicelli A, Hoang L, Singh N. Interpretation of p16, p53 and mismatch repair protein immunohistochemistry in gynaecological neoplasia. Diagn. Histopathol. 2020, 26, 257–77.
  15. Colombo N, Sessa C, du Bois A, et al. ESMO–ESGO consensus conference recommendations on ovarian cancer: pathology and molecular biology, early and advanced stages, borderline tumours and recurrent disease. Ann. Oncol. 2019 May 1;30(5):672–705. DOI: 10.1093/annonc/mdz062
  16. Chui MH, Momeni Boroujeni A, Mandelker D, et al. Characterization of TP53-wildtype tubo-ovarian high-grade serous carcinomas: Rare exceptions to the binary classification of ovarian serous carcinoma. Mod. Pathol. 2021 Feb;34(2):490–501. DOI: 10.1038/s41379-020-00648-y
  17. Santandrea G, Piana S, Valli R, et al. Immunohistochemical biomarkers as a surrogate of molecular analysis in ovarian carcinomas: a review of the literature. Diagnostics (Basel). 2021 Jan 29;11(2):199. DOI: 10.3390/diagnostics11020199.
  18. Zarei S, Wang Y, Jenkins SM, et al. Clinicopathologic, immunohistochemical, and molecular characteristics of ovarian serous carcinoma with mixed morphologic features of high-grade and low-grade serous carcinoma. Am. J. Surg. Pathol. 2020 Mar;44(3):316–28. DOI: 10.1097/PAS.0000000000001419
  19. Coleman RL, Hennessy BT, Coleman RL, Markman M. Ovarian Cancer Version 1.2020—March 11, 2020 [Internet]. NCCN: Plymouth Meeting, PA, USA, 2020. Available from: https://www.nccn.org/professionals/physician_gls/pdf/ovarian.pdf (accessed on 29 January 2021)
  20. Dochez V, Caillon H, Vaucel E, et al. Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review. J. Ovarian Res. 2019 Mar 27;12(1):28. DOI: 10.1186/s13048-019-0503-7.
  21. McCluggage WG, Vosmikova H, Laco J. Ovarian Combined Low-grade Serous and Mesonephric-like Adenocarcinoma. Int. J. Gynecol. Pathol. 2020 Jan;39(1):84–92. DOI: 10.1097/PGP.0000000000000573
  22. Mirkovic J, McFarland M, Garcia E, et al. Targeted Genomic Profiling Reveals Recurrent KRAS Mutations in Mesonephric-like Adenocarcinomas of the Female Genital Tract. Am. J. Surg. Pathol. 2018 Feb;42(2):227–33. DOI: 10.1097/PAS.0000000000000958.
  23. Liu Y, Su Z, Tavana O, Gu W. Understanding the complexity of p53 in a new era of tumor suppression. Cancer Cell. 2024;42:946–67. DOI: 10.1016/j.ccell.2024.04.009.
  24. Peres LC, Cushing-Haugen KL, Köbel M, et al. Invasive Epithelial Ovarian Cancer Survival by Histotype and Disease Stage. JNCI J. Natl. Cancer Inst. 2019 Jan 1;111(1):60–8. DOI: 10.1093/jnci/djy071
  25. Li H, Yang Y, Hong W, et al. Applications of genome editing technology in the targeted therapy of human diseases: mechanisms, advances and prospects. 2020 Jan 3;5(1):1. DOI: 10.1038/s41392-019-0089-y.

Published

2025-09-18

How to Cite

Hrytsay, I., Petronchak, O., & Volodko, N. (2025). mmunohistochemical and molecular genetic profiling in determining pathogenetic variants of malignant epithelial ovarian tumors. REPRODUCTIVE ENDOCRINOLOGY, (79), 65–76. https://doi.org/10.18370/2309-4117.2025.79.65-76

Issue

Section

Tumors and pretumoral pathology