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Barna AJ, Herold Z, Acs M, Bazsa S, Gajdacsi J, Garay TM, Herold M, Madaras L, Muhl D, Nagy A, Szasz AM, Dank M. High Tumor-Infiltrating Lymphocyte Count Is Associated with Distinct Gene Expression Profile and Longer Patient Survival in Advanced Ovarian Cancer. Int J Mol Sci 2023; 24:13684. [PMID: 37761986 PMCID: PMC10530512 DOI: 10.3390/ijms241813684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/26/2023] [Accepted: 09/03/2023] [Indexed: 09/29/2023] Open
Abstract
Cancer-related immunity plays a significant role in the outcome of ovarian cancer, but the exact mechanisms are not fully explored. A retrospective, real-life observational study was conducted including 57 advanced ovarian cancer patients. Immunohistochemistry for CD4+, CD8+, and CD45+ was used for assessing tumor-infiltrating immune cells. Furthermore, an immune-related gene expression assay was performed on 12-10 samples from patients with less than and more than 1-year overall survival (OS), respectively. A higher number of CD4+ (p = 0.0028) and CD45+ (p = 0.0221) immune cells within the tumor microenvironment were associated with longer OS of patients. In a multivariate setting, higher CD4+ T cell infiltration predicted longer OS (p = 0.0392). Twenty-three differentially expressed genes-involved in antigen presentation, costimulatory signaling, matrix remodeling, metastasis formation, and myeloid cell activity-were found when comparing the prognostic groups. It was found that tumor-infiltrating immune cell counts are associated with peculiar gene expression patterns and bear prognostic information in ovarian cancer. SOX11 expression emerged and was validated as a predictive marker for OS.
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Affiliation(s)
- Andras Jozsef Barna
- Department of Obstetrics and Gynecology, Saint Pantaleon Hospital, H-2400 Dunaujvaros, Hungary
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, H-1083 Budapest, Hungary
| | - Zoltan Herold
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, H-1083 Budapest, Hungary
| | - Miklos Acs
- Department of Surgery, University Hospital, D-93053 Regensburg, Germany
| | - Sandor Bazsa
- Department of Obstetrics and Gynecology, Saint Pantaleon Hospital, H-2400 Dunaujvaros, Hungary
| | - Jozsef Gajdacsi
- Directorate General of Medical Quality Assurance, Semmelweis University, H-1085 Budapest, Hungary
| | - Tamas Marton Garay
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, H-1083 Budapest, Hungary
- Faculty of Information Technology and Bionics, Pazmany Peter Catholic University, H-1083 Budapest, Hungary
| | - Magdolna Herold
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, H-1083 Budapest, Hungary
- Department of Internal Medicine and Hematology, Semmelweis University, H-1088 Budapest, Hungary
| | - Lilla Madaras
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, H-1091 Budapest, Hungary
| | - Dorottya Muhl
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, H-1083 Budapest, Hungary
| | - Akos Nagy
- Department of Pathology and Experimental Cancer Research, Semmelweis University, H-1085 Budapest, Hungary
| | - Attila Marcell Szasz
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, H-1083 Budapest, Hungary
| | - Magdolna Dank
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, H-1083 Budapest, Hungary
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