# Prospective Evaluation of Cytology, CINtec® and PD-L1 for the Detection of Cervical Intraepithelial Neoplasia: A Single-Center Study

**Authors:** Alexandru Hamod, Mihaela Grigore, Ingrid-Andrada Vasilache, Ramona-Gabriela Ursu, Oancea Mihaela, Razvan Popovici, Ana-Maria Grigore, Ludmila Lozneanu, Dan-Constantin Andronic, Manuela Ciocoiu

PMC · DOI: 10.3390/jcm15031171 · Journal of Clinical Medicine · 2026-02-02

## TL;DR

This study compared the effectiveness of different tests for detecting cervical abnormalities and found that combining cytology with HPV testing worked best for severe cases.

## Contribution

The study provides new evidence on the diagnostic performance of cytology, CINtec®, and PD-L1 in cervical lesion detection when combined with HR-HPV testing.

## Key findings

- Cytology combined with HR-HPV testing showed the highest diagnostic accuracy across all lesion categories.
- CINtec® demonstrated strong performance for high-grade lesions (CIN3) with an AUC of 0.826.
- PD-L1 had consistently lower accuracy compared to cytology and CINtec® across all categories.

## Abstract

Background/Objectives: This study evaluated the diagnostic accuracy of cervical cytology, CINtec® (p16/Ki-67 dual staining), and PD-L1 immunohistochemistry, individually and in combination with high-risk HPV (HR-HPV) testing, for identifying histologically confirmed cervical lesions ranging from CIN1 to invasive carcinoma. Methods: We conducted a prospective cross-sectional study including 114 patients who underwent cervical cytology, CINtec®, PD-L1 staining, HPV genotyping, and histopathologic confirmation at a tertiary clinical center between September 2024 and September 2025. Sensitivity, specificity, PPV, NPV, and ROC performance were calculated for each test across lesion categories. Multivariable logistic regression models incorporating HR-HPV status were used to assess added predictive value. Results: All tests showed poor performance for CIN1 (cytology AUC 0.488; CINtec® 0.374; PD-L1 0.366). Diagnostic accuracy improved markedly with lesion severity. For CIN3, CINtec® demonstrated the highest discriminative ability (AUC 0.826), with cytology and PD-L1 also performing well (AUC 0.820 and 0.753). Cytology achieved the strongest ROC performance for CIN2+ (AUC 0.937), CIN3+ (0.913), and invasive carcinoma (0.887). PD-L1 consistently showed lower accuracy across categories. Cytology + HR-HPV demonstrated the highest AUC across all lesion categories. Conclusions: Cytology and CINtec® exhibited strong diagnostic accuracy for high-grade lesions, while PD-L1 showed limited utility as an independent screening marker. Combining cytology with HR-HPV testing enhanced predictive performance across all lesion categories. These findings support the continued use of cytology-based triage and highlight CINtec® as a valuable adjunct for high-grade disease detection. Because this study used a high-prevalence referral cohort, specificity may be overestimated and not representative of population-based screening.

## Linked entities

- **Proteins:** CDKN2A (cyclin dependent kinase inhibitor 2A), Mki67 (antigen identified by monoclonal antibody Ki 67), CD274 (CD274 molecule)
- **Diseases:** cervical intraepithelial neoplasia (MONDO:0022394), invasive carcinoma (MONDO:0040677)

## Full-text entities

- **Genes:** CD274 (CD274 molecule) [NCBI Gene 29126] {aka ADMIO5, B7-H, B7H1, PD-L1, PDCD1L1, PDCD1LG1}, CDKN2A (cyclin dependent kinase inhibitor 2A) [NCBI Gene 1029] {aka ARF, CAI2, CDK4I, CDKN2, CMM2, INK4}
- **Diseases:** Cervical Intraepithelial Neoplasia (MESH:D002578), invasive carcinoma (MESH:D009361), cervical lesions (MESH:D002575)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC12897607/full.md

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Source: https://tomesphere.com/paper/PMC12897607