|
1
|
Machuca-Aguado J, Conde-Martín AF, Alvarez-Muñoz A, Rodríguez-Zarco E, Polo-Velasco A, Rueda-Ramos A, Rendón-García R, Ríos-Martin JJ, Idoate MA. Machine Learning Quantification of Intraepithelial Tumor-Infiltrating Lymphocytes as a Significant Prognostic Factor in High-Grade Serous Ovarian Carcinomas. Int J Mol Sci 2023; 24:16060. [PMID: 38003250 PMCID: PMC10671555 DOI: 10.3390/ijms242216060] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 10/26/2023] [Accepted: 11/01/2023] [Indexed: 11/26/2023] Open
Abstract
The prognostic and predictive role of tumor-infiltrating lymphocytes (TILs) has been demonstrated in various neoplasms. The few publications that have addressed this topic in high-grade serous ovarian carcinoma (HGSOC) have approached TIL quantification from a semiquantitative standpoint. Clinical correlation studies, therefore, need to be conducted based on more accurate TIL quantification. We created a machine learning system based on H&E-stained sections using 76 molecularly and clinically well-characterized advanced HGSOC. This system enabled immune cell classification. These immune parameters were subsequently correlated with overall survival (OS) and progression-free survival (PFI). An intense colonization of the tumor cords by TILs was associated with a better prognosis. Moreover, the multivariate analysis showed that the intraephitelial (ie) TILs concentration was an independent and favorable prognostic factor both for OS (p = 0.02) and PFI (p = 0.001). A synergistic effect between complete surgical cytoreduction and high levels of ieTILs was evidenced, both in terms of OS (p = 0.0005) and PFI (p = 0.0008). We consider that digital analysis with machine learning provided a more accurate TIL quantification in HGSOC. It has been demonstrated that ieTILs quantification in H&E-stained slides is an independent prognostic parameter. It is possible that intraepithelial TIL quantification could help identify candidate patients for immunotherapy.
Collapse
Affiliation(s)
- Jesús Machuca-Aguado
- Department of Pathology, Virgen Macarena University Hospital & School of Medicine, University of Seville, 41009 Seville, Spain; (J.M.-A.); (A.F.C.-M.); (A.A.-M.); (E.R.-Z.); (R.R.-G.); (J.J.R.-M.)
| | - Antonio Félix Conde-Martín
- Department of Pathology, Virgen Macarena University Hospital & School of Medicine, University of Seville, 41009 Seville, Spain; (J.M.-A.); (A.F.C.-M.); (A.A.-M.); (E.R.-Z.); (R.R.-G.); (J.J.R.-M.)
| | - Alejandro Alvarez-Muñoz
- Department of Pathology, Virgen Macarena University Hospital & School of Medicine, University of Seville, 41009 Seville, Spain; (J.M.-A.); (A.F.C.-M.); (A.A.-M.); (E.R.-Z.); (R.R.-G.); (J.J.R.-M.)
| | - Enrique Rodríguez-Zarco
- Department of Pathology, Virgen Macarena University Hospital & School of Medicine, University of Seville, 41009 Seville, Spain; (J.M.-A.); (A.F.C.-M.); (A.A.-M.); (E.R.-Z.); (R.R.-G.); (J.J.R.-M.)
| | - Alfredo Polo-Velasco
- Gynecology Department, Virgen Macarena University Hospital & School of Medicine, University of Seville, 41009 Seville, Spain;
| | - Antonio Rueda-Ramos
- Oncology Department, Virgen Macarena University Hospital & School of Medicine, University of Seville, 41009 Seville, Spain;
| | - Rosa Rendón-García
- Department of Pathology, Virgen Macarena University Hospital & School of Medicine, University of Seville, 41009 Seville, Spain; (J.M.-A.); (A.F.C.-M.); (A.A.-M.); (E.R.-Z.); (R.R.-G.); (J.J.R.-M.)
| | - Juan José Ríos-Martin
- Department of Pathology, Virgen Macarena University Hospital & School of Medicine, University of Seville, 41009 Seville, Spain; (J.M.-A.); (A.F.C.-M.); (A.A.-M.); (E.R.-Z.); (R.R.-G.); (J.J.R.-M.)
| | - Miguel A. Idoate
- Department of Pathology, Virgen Macarena University Hospital & School of Medicine, University of Seville, 41009 Seville, Spain; (J.M.-A.); (A.F.C.-M.); (A.A.-M.); (E.R.-Z.); (R.R.-G.); (J.J.R.-M.)
| |
Collapse
|