New therapeutic approaches in the treatment of node-positive cervical cancer patients based on molecular targets: a systematic review

Programmed cell death 1 (PDCD1) gene haplotypes and susceptibility of patients to basal cell carcinoma

Programmed death-1 (PD-1), as an immunoinhibitory receptor encoded by programmed cell death-1 (PDCD1) gene, has a pivotal role in tolerance to self-antigens. Mutations of PDCD1 may participate in susceptibility to basal cell carcinoma (BCC) as the most common of skin cancer. We studied the impacts of two single nucleotide polymorphisms (SNPs) within PDCD1 and their haplotypes in BCC susceptibility in an Iranian population. The blood samples were collected from 210 BCC and 220 healthy individuals. After the extraction of genomic DNA, the genotypes and alleles of PD1.1 G/A (rs36084323) and PD1.6 G/A (rs10204525) SNPs were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Four haplotypes were estimated by these SNPs. Our data revealed that genotype and allele frequencies of PD1.1 and PD1.6 polymorphisms in BCC patients were similar to those in healthy individuals. The results of estimated haplotypes for PDCD1 indicated that GG and AA haplotypes of PDCD1 had protective effects on BCC susceptibility (OR = 0.7, 95% CI = 0.51-0.96, p = 0.03 and OR = 0.57, 95% CI = 0.35-0.91, p = 0.02, respectively), while GA and AG haplotypes served as the risk factors for developing BCC (OR = 1.76, 95% CI = 1.09-2.84, p = 0.02 and OR = 3.87, 95% CI = 1.95-7.69, p = <0.001, respectively). Based on these findings, frequency distributions of PDCD1 haplotypes have important roles in the determination of BCC development in the Iranian population. However, larger multicenter studies are required to confirm this conclusion.

Should the Number of Metastatic Pelvic Lymph Nodes be Integrated into the 2018 Figo Staging Classification of Early Stage Cervical Cancer?

Introduction: Lymph node status has become part of the new staging system for cervical cancer (CC). It has been shown that patients staged as IIIC1 had heterogeneous prognoses and, in some cases, experienced better outcomes than patients with lower stages. We evaluated the impact of the number of metastatic pelvic lymph nodes (MPLNs) among patients with stage IIIC1 cervical cancer. Methods: Survival analyses were conducted in order to identify the best cut-off prognostic value relative to the number of MPLNs. Disease free survival (DFS) was considered the main outcome. Results: 541 patients were included in the study. Eighty-nine patients were of stage IIIC1. The best prognostic cut-off value of the number of MPLNs was 2. Patients with >2 MPLNs (n > 2 group) had worse DFS compared with those having <2 (N1-2 group) (5 yr DFS: 54.7% vs. 78.1%, p value = 0.006). Multivariate analyses demonstrated that the extent of MPLNs had little impact on DFS and that replacement of IIIC1 staging with N1-2 and n > 2 grouping provided a better, statistically significant model (p value = 0.006). Discussion: Using a cut-off value of 2, the number of MPLNs could better predict prognostic outcomes within stage IIIC1 cervical cancer and have potential implications for therapeutic decision-making in the treatment of patients with stage IIIC1 CC.

Recombinant Viral Capsid Protein L2 (rVL2) of HPV 16 Suppresses Cell Proliferation and Glucose Metabolism via ITGB7/C/EBPβ Signaling Pathway in Cervical Cancer Cell Lines

Purpose

Capsid protein L2 is the minor capsid protein of human papillomavirus 16 (HPV16). Although L2-based vaccines were developed, the therapeutic effect of recombinant viral capsid protein L2 (rVL2) was still to be illustrated.

Methods

We used glucose uptake and lactate production assay to verify the inhibitory effect of rVL2 on the glucose metabolism in cervical cancer cells. Secondly, we performed gene-chip assay, RT-PCR, and Western blot to determine the role of ITGB7/C/EBPβ signaling pathway in rVL2-mediated glucose metabolism in vitro. Finally, we used an animal model to verify the function of rVL2 in cervical cancer.

Results

We found that rVL2 reduced glucose uptake and lactate production levels in cervical cancer cells, which caused the inhibition of cell proliferation. rVL2 decreased the expression levels of key metabolic enzymes, including GLUT1, LDHA, and ALDOA, to affect cell metabolism in cervical cancer cells by inhibiting ITGB7/C/EBPβ signaling pathway in vitro and in vivo.

Conclusion

These results demonstrated the vital role of rVL2 in the glycolysis-induced cell growth and proliferation via suppressing ITGB7/C/EBPβ signaling axis.