hTERT and IGF-1R Proteins Expression in Response to Treatment in Patients with HPV Alpha 9-Positive Cervical Cancer.

Human papillomavirus (HPV) infection is strongly associated with cervical cancer (CC). Genomic alterations caused by viral infection and subsequent dysregulation of cellular metabolism under hypoxic conditions could influence the response to treatment. We studied a possible influence of IGF-1Rb, hTERT, HIF1a, GLUT1 protein expression, HPV species presence and relevant clinical parameters on the response to treatment. In 21 patients, HPV infection and protein expression were detected using GP5+/GP6+PCR-RLB and immunohistochemistry, respectively. The worse response was associated with radiotherapy alone compared with chemoradiotherapy (CTX-RT), anemia and HIF1a expression. HPV16 type was the most frequent (57.1%) followed by HPV-58 (14.2%) and HPV-56 (9.5%). The HPV alpha 9 species was the most frequent (76.1%) followed by alpha 6 and alpha 7. IGF-1Rb (85.7%), HIF1a (61.9%), GLUT1 (52.3%), and hTERT expression [cytoplasm and nucleus (90.4%)] were detected. The MCA factorial map showed different relationships, standing out, expression of hTERT and alpha 9 species HPV, expression of hTERT and IGF-1Rb expression [Fisher's exact test (P = 0.04)]. A slight trend of association was observed between, GLUT1 and HIF1 a expression, hTERT and GLUT1 expression. A noteworthy finding was the subcellular localization of hTERT in the nucleus and cytoplasm of CC cells and its possible interaction with IGF-1R in presence of HPV alpha 9 species. Our findings suggest that the expression of HIF1a, hTERT, IGF-1Rb and GLUT1 proteins that interact with some HPV species may contribute to cervical cancer development, and the modu lation of treatment response.

hTERT Protein Expression in Cytoplasm and Nucleus and its Association With HPV Infection in Patients With Cervical Cancer.

BACKGROUND: Few studies have analyzed the association between human telomerase reverse transcriptase (hTERT) protein expression (nuclear and cytoplasmic localization), hTERT methylation status, and human papillomavirus (HPV) genotype infection in cervical cancer. PATIENTS AND METHODS: One hundred seventy-three patients with cervical cancer were analyzed. hTERT protein expression was detected by immunohistochemistry. hTERT DNA methylation analysis was performed using a PCR-RLB-hTERT assay, targeting two regions of the hTERT promoter. Type specific HPV infection was detected by using GP5+/GP6+PCR-RLB. RESULTS: hTERT protein expression was found in both cytoplasm and nucleus (78.0% of the samples showed a cytoplasmic localization and 79.8% had a nuclear localization). A statistically significant association was found between alpha 9 and 7 HPV species with a non-methylation pattern of the hTERT promoter and between these species and high expression of hTERT protein with nuclear localization. CONCLUSION: hTERT protein is found in both the nucleus and cytoplasm of patients with cervical cancer and confirm the relationship between the non-methylated status of hTERT promoter and some HPV species as well as the relationship between these species and hTERT protein expression.

Persistent High-Risk HPV Infection and Molecular Changes Related to the Development of Cervical Cancer.

This article is a preliminary investigational study that is aimed at giving hints about the interesting biomarkers involved in the transition process from low-grade cervix lesion to invasive cervical cancer. Our study focuses on the risk factors and tumour molecular changes in one patient. First in 1986, she was diagnosed a preinvasive cervix lesion. Then, 16 years later, she was diagnosed an invasive cervical cancer. The 2002 diagnosis was a squamous cell carcinoma of the cervix, stage IIIB (FIGO), whereas in 1986, she had been diagnosed a high-grade squamous intraepithelial cervical lesion. Retrospectively, the analysis of samples of preneoplastic lesions and invasive cervical cancer confirmed the histopathological diagnoses and detected the presence of HPV type and HPV-16 variants, as well as the overexpression of proteins such as hTERT, IGF1Rα, IGF1Rß, CAIX, and GLUT1. Finally, the Arg72Pro polymorphism was detected in TP53. The role of high-risk HPV and HPV-16 variants and of hTERT, IGF1Rα, IGF1Rß, CAIX, and GLUT1 variations seemed confirmed in the development and progression of cervical cancer. As a result, analyzing the molecular changes in one and same tumour that progresses from a low-grade cervix lesion to invasive cervical cancer could provide valuable information in order to improve detection, diagnosis, and treatment in the future.

Novel predictive biomarkers for cervical cancer prognosis.

High hypoxic, glycolytic and acidosis metabolisms characterize cervical cancer tumors and have been described to be involved in chemoradioresistance mechanisms. Based on these observations, the present study assessed four selected novel biomarkers on the prognosis of locally advanced cervical carcinoma. A total of 66 patients with stage IIB/IIIB cervical cancer were retrospectively included. The protein expression levels of glucose transporter 1 (GLUT1), carbonic anhydrase 9 (CAIX) and hexokinase 1 (HKII) were investigated by immunohistochemistry on tumor biopsies, hemoglobin was measured and the disease outcome was monitored. A total of 53 patients (80.3%) presented a complete response. For these patients, the protein expression levels of GLUT1, CAIX and HKII were overexpressed. A significant difference was observed (P=0.0127) for hemoglobin levels (≤11 g/dl) in responsive compared with non-responsive patients. The expression of GLUT1 is associated with a lower rate of both overall and disease-free survival, with a trend of decreased risk of 1.1x and 1.5x, respectively. Co-expression of GLUT1 and HKII is associated with a decreased trend risk of 1.6x for overall survival. Patients with hemoglobin levels ≤11 g/dl had a 4.3-fold risk (P=0.02) in decreasing both to the rate of overall and disease-free survival. The presence of anemic hypoxia (hemoglobin ≤11 g/dl) and the expression of GLUT1 and/or HKII influence treatment response and are associated with a lower overall and disease-free survival. The present results demonstrated that these biomarkers may be used as predictive markers and suggested that these metabolic pathways can be used as potential novel therapeutic targets.

IGF1R gene expression as a predictive marker of response to ionizing radiation for patients with locally advanced HPV16-positive cervical cancer.

AIM: The aim of this study was to evaluate the predictive utility of Insulin-like growth factor-1 receptor (IGF1R), IGF1, IGF2, Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) and of hemoglobin levels for tumor response to exclusive radiotherapy, in patients with locally advanced Human papillomavirus (HPV) 16-positive cervical cancer. PATIENTS AND METHODS: From 102 patients treated at our institutes, 38 patients with histologically-proven HPV16-positive cervical cancer were included in this prospective case-controlled study. All patients underwent exclusive radiotherapy-only. Complete response was defined as an absence of residual disease at clinical examination and radiological imaging, three months after the completion of treatment. Gene expression levels, assessed before radiotherapy, were compared between responders and non-responders. Controls consisted of normal cervical tissue samples from 30 patients with non-oncological indications. RESULTS: Twenty patients (52.6%) showed a complete response. Gene expressions of IGF1R (34%), IGF2 (24%), and GAPDH (median=3.26 versus 2.12) were increased in cancer patients, in comparison with the control group. Higher levels of expression of GAPDH were observed in patients co-expressing IGF2 and IGF1R, who had a hemoglobin level ≤ 11 g/dl (p=0.05). Clinical characteristics in the responder and in the non-responder groups were similar. In bi-variate and multi-variate analyses, IGF1R expression was the only factor predictive of response to radiotherapy (p=0.018). Accordingly, patients with IGF1R expression had a 28.6-fold greater risk of treatment failure. CONCLUSION: In our study, IGF1R was a strong predictive marker of lack of response to radiotherapy. Larger prospective trials are needed to validate IGF1R as a biomarker of radiation response for patients with HPV16-positive cervical cancer.