Systemic Inflammatory Indices—Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI)—As Potential Rule-Out Biomarkers for Invasive Cervical Carcinoma

Cervical cancer, primarily caused by high-risk Human Papilloma Virus (HPV), remains a global health concern. Prognostic biomarkers reflecting systemic inflammation and immune response-the Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI)-have recently attracted interest for their potential predictive value in cervical cancer. We conducted a retrospective observational study including 344 patients who underwent loop electrosurgical excision of cervical intraepithelial neoplasia at Semmelweis University, Budapest, Hungary, between 2021 and 2024. Demographic, cytologic, histologic, and laboratory data were collected, and SII and SIRI were calculated. Statistical analyses, including Receiver Operating Characteristic (ROC) analyses, were performed. Higher SII and SIRI values were significantly associated with higher-grade lesions and invasive carcinoma. ROC analyses indicated good discriminatory performance, with negative predictive values of 96-100%, suggesting potential utility in ruling out malignant transformation. SII and SIRI are simple, cost-effective, and minimally invasive biomarkers that correlate with lesion severity in cervical disease. Their high negative predictive value supports a potential role as complementary rule-out tools in diagnostic evaluation. Further prospective studies are needed to validate these findings and to define clinically meaningful cut-off values for routine use.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-12-31
DOI
https://doi.org/10.3390/ijms27010435
Citations
1
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
1.05

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article

Systemic Inflammatory Indices—Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI)—As Potential Rule-Out Biomarkers for Invasive Cervical Carcinoma

Márton Keszthelyi, Lotti Lőczi, Réka Eszter Sziva, S. Várbíró et al.
1 citations
International Journal of Molecular Sciences
Inflammatory Biomarkers in Disease Prognosis
1.05
article

Systemic Inflammatory Indices—Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI)—As Potential Rule-Out Biomarkers for Invasive Cervical Carcinoma

Márton Keszthelyi, Lotti Lőczi, Réka Eszter Sziva, S. Várbíró, Richárd Tóth, Barbara Sebők, Noémi Kalas, Petra Merkely, Zsófia Havrán, Nándor Ács, Balázs Lintner, Verita Szabó
article en
1 citations

Abstract

Cervical cancer, primarily caused by high-risk Human Papilloma Virus (HPV), remains a global health concern. Prognostic biomarkers reflecting systemic inflammation and immune response-the Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI)-have recently attracted interest for their potential predictive value in cervical cancer. We conducted a retrospective observational study including 344 patients who underwent loop electrosurgical excision of cervical intraepithelial neoplasia at Semmelweis University, Budapest, Hungary, between 2021 and 2024. Demographic, cytologic, histologic, and laboratory data were collected, and SII and SIRI were calculated. Statistical analyses, including Receiver Operating Characteristic (ROC) analyses, were performed. Higher SII and SIRI values were significantly associated with higher-grade lesions and invasive carcinoma. ROC analyses indicated good discriminatory performance, with negative predictive values of 96-100%, suggesting potential utility in ruling out malignant transformation. SII and SIRI are simple, cost-effective, and minimally invasive biomarkers that correlate with lesion severity in cervical disease. Their high negative predictive value supports a potential role as complementary rule-out tools in diagnostic evaluation. Further prospective studies are needed to validate these findings and to define clinically meaningful cut-off values for routine use.

International Journal of Molecular SciencesVol. 27(1)
Semmelweis University (HU), University of Szeged (HU)
Semmelweis Egyetem
Reduced inequalities
Openalex Percentile: Top 15%
Inflammatory Biomarkers in Disease Prognosis
1.05
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