Association between the p73 exon 2 G4C14-to-A4T14 polymorphism and cancer risk: a meta-analysis

Targeted therapy for head and neck cancer: signaling pathways and clinical studies

Head and neck cancer (HNC) is malignant, genetically complex and difficult to treat and is the sixth most frequent cancer, with tobacco, alcohol and human papillomavirus being major risk factors. Based on epigenetic data, HNC is remarkably heterogeneous, and treatment remains challenging. There is a lack of significant improvement in survival and quality of life in patients with HNC. Over half of HNC patients experience locoregional recurrence or distal metastasis despite the current multiple traditional therapeutic strategies and immunotherapy. In addition, resistance to chemotherapy, radiotherapy and some targeted therapies is common. Therefore, it is urgent to explore more effective and tolerable targeted therapies to improve the clinical outcomes of HNC patients. Recent targeted therapy studies have focused on identifying promising biomarkers and developing more effective targeted therapies. A well understanding of the pathogenesis of HNC contributes to learning more about its inner association, which provides novel insight into the development of small molecule inhibitors. In this review, we summarized the vital signaling pathways and discussed the current potential therapeutic targets against critical molecules in HNC, as well as presenting preclinical animal models and ongoing or completed clinical studies about targeted therapy, which may contribute to a more favorable prognosis of HNC. Targeted therapy in combination with other therapies and its limitations were also discussed.

Association between p73 G4C14-to-A4T14 polymorphism and lung cancer risk: A systematic review and meta-analysis

OBJECTIVE

This study was conducted to evaluate the relationship between the p73 G4C14-to-A4T14 polymorphism (hereafter, G4C14-to-A4T14) and lung cancer risk.

METHODS

The studies on the relationship between G4C14-A4T14 and lung cancer risk published as of November 5, 2018, were comprehensively searched in PubMed, Embase, the Cochrane Library, the Chinese Wanfang database, China National Knowledge Infrastructure (CNKI), and China Biology Medicine (CBM). The last update was on May 24, 2019. Statistical analysis was performed using Stata 12.0.

RESULTS

The association between G4C14-A4T14 and lung cancer risk was analyzed in nine studies. The findings indicate no association between G4C14-to-A4T14 and lung cancer risk (allele model: OR = 0.90, 95% CI: 0.73-1.11, I²  = 86.0%, P = .330; dominant model: OR = 0.93, 95% CI: 0.74-1.17, I²  = 82.6%, P = .551; recessive model: OR = 0.75, 95% CI: 0.50-1.13, I²  = 75.2%, P = .165; homozygote model: OR = 0.74, 95% CI: 0.47-1.17, I²  = 79.6%, P = .199; heterozygote model: OR = 0.98, 95% CI: 0.80-1.21, I²  = 75.8%, P = .879). The heterogeneity between subgroups by cancer types and genotyping method was significantly reduced. After the deletion of suspected duplicates, no association was found between G4C14-to-A4T14 and lung cancer susceptibility.

CONCLUSION

Our meta-analysis confirms that G4C14-to-A4T14 is not significantly related to lung cancer risk.

Role of p73 Dinucleotide Polymorphism in Prostate Cancer and p73 Protein Isoform Balance

Background. Molecular markers for prostate cancer (PCa) risks are currently lacking. Here we address the potential association of a dinucleotide polymorphism (DNP) in exon 2 of the p73 gene with PCa risk/progression and discern any disruption of p73 protein isoforms levels in cells harboring a p73 DNP allele. Methods. We investigated the association between p73 DNP genotype and PCa risk/aggressiveness and survival by fitting logistic regression models in 1,292 incident cases and 682 controls. Results. Although we detected no association between p73 DNP and PCa risk, a significant inverse relationship between p73 DNP and PCa aggressiveness (AT/AT + GC/AT versus GC/GC, OR = 0.55, 95%Cl = 0.31–0.99) was detected. Also, p73 DNP is marginally associated with overall death (dominant model, HR = 0.76, 95%Cl = 0.57–1.00, P = 0.053) as well as PCa specific death (HR = 0.69, 95%Cl = 0.45–1.06, P = 0.09). Western blot analyses for p73 protein isoforms indicate that cells heterozygous for the p73 DNP have lower levels of ∆Np73 relative to TAp73 (P < 0.001). Conclusions. Our findings are consistent with an association between p73 DNP and low risk for PCa aggressiveness by increasing the expressed TAp73/∆Np73 protein isoform ratio.

p73 G4C14-to-A4T14 polymorphisms are positively correlated with triple-negative breast cancer in southwestern China

p73 gene shares structural and functional similarities to p53 and plays an important role in modulating cell cycle arrest and apoptosis. A common non-coding polymorphism of p73 G4C14-to-A4T14 (rs2273953 and rs1801173) at exon 2 may affect gene expression, thus, it may lead to functional significance. The correlation of this polymorphism with clinicopathologic variables of patients with breast cancer has not been investigated. In this study, single-nucleotide polymorphisms (SNPs) of p73 G4C14-to-A4T14 were genotyped by Sequenom MassArray-iPLEX GOLD System in 170 patients with breast cancer. Data were analyzed via t test, chi-square test, and logistic regression analysis. There was no significant correlation between p73 G4C14-to-A4T14 polymorphisms and the patient characteristics, such as clinical TNM stage, menopausal status, axillary lymph node metastasis, pathological type, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2). No significant relationship was observed between the p73 G4C14-to-A4T14 polymorphism and p73 protein expression in cancer tissues. The frequency of GC/GC genotype in patients with triple-negative breast cancer (TNBC) was 78.9 %, that of patients with others was 57.6 %, and the difference had statistical significance (χ ( 2 ) = 5.74, P = 0.02). p73 G4C14-to-A4T14 polymorphisms were negatively correlated with chemosensitivity for anthracycline-based chemotherapy in breast cancer (P > 0.05). p73 G4C14-to-A4T14 polymorphisms are positively correlated with TNBC, and p73 gene may play a critical role in a novel therapeutic strategy to TNBC. Additional larger studies are required to test these hypotheses.