Exhausted and Senescent CD4+ T Cells in Peripheral Blood and Their Impact as a Biological Marker for the Diagnosis of Benign and Malignant Ovarian Tumors
<b>Introduction:</b> Serum biomarkers such as CA-125 and HE4, along with the ROMA score, (which integrates both markers) are widely used to distinguish between benign and malignant ovarian tumors. In ovarian cancer, chronic exposure to tumor-associated antigens (TAAs), such as CA-125 and HE4, can lead to T cell exhaustion and senescence, thereby facilitating immune evasion. This study aimed to evaluate exhausted and senescent T cells in the peripheral blood of patients with benign or malignant ovarian tumors, and compare these findings to those of healthy donors, and assess their correlation with the ROMA score. <b>Methods:</b> The expression of senescent and exhaustion markers was evaluated on peripheral CD4<sup>+</sup> T cells from patients with benign and malignant ovarian tumors, as well as healthy donors. Multicolor flow cytometry was performed to evaluate the expression of CTLA-4, PD-1, Tim3, CD28, CD57, and CD27. <b>Results:</b> PD1<sup>+</sup>Tim3<sup>+</sup>CD4<sup>+</sup> expression was significantly higher in the malignant group compared to both the benign group (<i>p</i> = 0.05) and healthy donors (<i>p</i> = 0.015). A positive and significant correlation was observed between ROMA and PD-1<sup>+</sup>Tim3<sup>+</sup> T cells (r = 0.44, <i>p =</i> 0.0006). The confusion matrix demonstrated good classification accuracy, and in the ROC analysis, the combination of ROMA and PD-1<sup>+</sup>Tim3<sup>+</sup> yielded the highest Youden Index (0.75) and superior specificity (88.8%) compared to ROMA alone, albeit with a slight reduction in sensitivity (86.9% vs. 91.3%). A nomogram integrating ROMA and PD-1<sup>+</sup>Tim3<sup>+</sup> exhibited strong predictive performance, with a concordance index (C-index) of 0.91. <b>Conclusion:</b> The combination of the ROMA score with the expression of PD-1<sup>+</sup> and Tim-3<sup>+</sup> in CD4<sup>+</sup> T cells creates a simple yet highly effective model to differentiate between benign and malignant ovarian tumors.
Authors
- Luis Felipe Jave‐Suárez (ORCID: https://orcid.org/0000-0001-6209-5031)
- Ana Laura Pereira-Suárez (ORCID: https://orcid.org/0000-0002-6310-3715)
- Natali Vega‐Magaña (ORCID: https://orcid.org/0000-0003-4749-2498)
- Adriana Aguilar‐Lemarroy (ORCID: https://orcid.org/0000-0001-9288-4824)
- José Francisco Muñóz-Valle (ORCID: https://orcid.org/0000-0002-2272-9260)
- Mariel García-Chagollán
- Gabriela Nohemi Espinoza-de-León
- Raquel Villegas-Pacheco
Institutions
- Mexican Social Security Institute (MX)
- Universidad de Guadalajara (MX)
Publication Details
- Journal
- Diagnostics
- Published
- 2025-08-12
- DOI
- https://doi.org/10.3390/diagnostics15162019
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Instituto Mexicano del Seguro Social