Publications by authors named "Pierluigi Paba"

Comprehensive multivariate models were used to disclose whether any of our previously analyzed 13 markers would be independent predictors of intermediate end point markers in cervical carcinogenesis. The expression of the following biomarkers, E-cadherin, extracellular signal-regulated kinase 1, 67-kd laminin receptor (LR67), matrix metalloproteinase 2, tissue inhibitor of metalloproteinase 2, nuclear factor-kappaB, nm23-H1, p16, proliferating cell nuclear antigen, survivin, human telomerase reverse transcriptase, topoisomerase 2alpha, and vascular endothelial growth factor (VEGF) C in 150 cervical cancer (CC) and 152 cervical intraepithelial neoplasia (CIN) lesions were determined immunohistochemically. Multivariate models were constructed to test predictive power of the markers for 3 outcomes: (1) high-grade CIN, (2) high-risk human papillomavirus (HR-HPV), and (3) CC survival.

View Article and Find Full Text PDF

Objective: To evaluate the 67-kd laminin receptor (67LR) in cervical cancer and its molecular links to oncogenic HPV types.

Study Design: As part of the HPV-PathogenlSS Study, a series of 150 squamous cell carcinomas (SCCs) and 152 carcinoma in situ (CIN) lesions were examined using immunohistochemical staining for LR67 and tested for HPV using polymerase chain reaction (PCR) with 3 primer sets (MY09/11, GP5+/GP6+, SPF). Followup data were available for all SCC patients, and 67 CIN lesions had been monitored with serial PCR for HPV clearance/persistence after cone treatment.

View Article and Find Full Text PDF

We analyzed survivin as a marker of cervical intraepithelial neoplasia (CIN) and high-risk human papillomavirus (HR-HPV) and a predictor of HPV clearance and disease outcome in cervical cancer in 302 samples (squamous cell carcinomas [SCCs], 150; CIN lesions, 152) by immunohistochemical staining with survivin antibody and HPV testing using polymerase chain reaction. HR-HPV types were associated closely with CIN and SCC. There was a significant linear relationship between grade and intensity of survivin expression (P = .

View Article and Find Full Text PDF