Polymorphisms of Genes Encoding Multidrug Resistance Proteins as a Predictive Factor for Second-Line Docetaxel Therapy in Advanced Non-small Cell Lung Cancer

Prognostic Value of Two Polymorphisms, rs1045642 and rs1128503, in ABCB1 Following Taxane-based Chemotherapy: A Meta-Analysis

Objective:

Genetic polymorphisms can influence the chemotherapeutic response; however, previous studies have produced conflicting results, and have failed to identify the most relevant polymorphisms for predicting the response to treatment in patients with cancer. The present meta-analysis was conducted to determine the correlation between two polymorphisms (rs1045642 and rs1128503) in ATP-binding cassette transporter B subfamily member 1 (ABCB1), which is associated with multidrug resistance, and the survival of patients treated with taxane-containing chemotherapy.

Methods:

Several databases, including PubMed and Embase, were used to retrieve articles evaluating the association between the ABCB1 rs1045642 and rs1128503 polymorphisms and survival, published prior to August 2019. The meta-analysis was conducted using R software to determine the pooled hazard ratio (HR) and 95% confidence intervals (95% CIs).

Results:

Fifteen studies involving 3320 patients were included in the meta-analysis. The effect of the rs1128503 polymorphism on progression-free survival remained significant in the heterozygote (HR 0.81; 95% CI: 0.67–0.98) and homozygote (HR 0.71; 95% CI: 0.58–0.88) models. The TT genotype rs1128503 was associated with better overall survival (HR 0.72; 95% CI: 0.53–0.97).

Conclusion:

Carriers of the rs1128503 T allele of ABCB1 showed a survival benefit after taxane-containing chemotherapy.

Different treatment efficacies and side effects of cytotoxic chemotherapy

Differences in efficacy and toxicity between Asian and Caucasian patients with lung cancer treated with systemic chemotherapy is increasingly recognised. This is a major concern in the clinical setting as it influences outcomes and affect international harmonization of drug development. Interindividual variability of pharmacokinetics, where different genetic polymorphisms affect drug metabolism, transport, and receptor binding may account for the ethnic differences. Treatment efficacy and outcomes may also be explained by differences in diet and lifestyle, access to healthcare, cultural barriers and environmental exposure. Efforts made to design prospective studies investigating ethnic specific determinants to systemic therapy and individualise lung cancer treatment based on genetic makeup of patient are important.

Value of TTF-1 expression in non-squamous non-small-cell lung cancer for assessing docetaxel monotherapy after chemotherapy failure

Docetaxel is one of the standard second/third-line treatments for non-small-cell lung cancer (NSCLC) following a failed response to prior cytotoxic chemotherapy. The predictive biomarker for the effectiveness of docetaxel therapy remains undetermined. However, thyroid transcription factor-1 (TTF-1) is known to be a good prognostic factor for a variety of chemotherapies. To investigate the association between TTF-1 expression and docetaxel monotherapy outcome, 82 patients with non-squamous NSCLC who received second/third-line docetaxel monotherapy were retrospectively screened. All backgrounds were well-balanced whether or not tumor TTF-1 was expressed, and the present clinical outcomes were similar to those reported by previous clinical studies. A better clinical outcome was indicated in TTF-1 positive compared with TTF-1 negative patients, with disease control rates of 69% vs. 42%, respectively (P=0.03) and median overall survival of 393 days vs. 221.5 days, respectively (P<0.01). Furthermore, progression free survival tended to be longer in TTF-1 positive compared with TTF-1 negative patients (median, 100 days vs. 67 days; P=0.09). Multivariate analysis revealed that TTF-1 positivity was a unique significant predictor for assessing overall survival after docetaxel monotherapy. TTF-1 positivity may be useful for predicting survival outcome in patients who received docetaxel monotherapy after failure of prior chemotherapy.

Ethnogeographic and inter-individual variability of human ABC transporters

ATP-binding cassette (ABC) transporters constitute a superfamily of 48 structurally similar membrane transporters that mediate the ATP-dependent cellular export of a plethora of endogenous and xenobiotic substances. Importantly, genetic variants in ABC genes that affect gene function have clinically important effects on drug disposition and can be predictors of the risk of adverse drug reactions and efficacy of chemotherapeutics, calcium channel blockers, and protease inhibitors. Furthermore, loss-of-function of ABC transporters is associated with a variety of congenital disorders. Despite their clinical importance, information about the frequencies and global distribution of functionally relevant ABC variants is limited and little is known about the overall genetic complexity of this important gene family. Here, we systematically mapped the genetic landscape of the entire human ABC superfamily using Next-Generation Sequencing data from 138,632 individuals across seven major populations. Overall, we identified 62,793 exonic variants, 98.5% of which were rare. By integrating five computational prediction algorithms with structural mapping approaches using experimentally determined crystal structures, we found that the functional ABC variability is extensive and highly population-specific. Every individual harbored between 9.3 and 13.9 deleterious ABC variants, 76% of which were found only in a single population. Carrier rates of pathogenic variants in ABC transporter genes associated with autosomal recessive congenital diseases, such as cystic fibrosis or pseudoxanthoma elasticum, closely mirrored the corresponding population-specific disease prevalence, thus providing a novel resource for rare disease epidemiology. Combined, we provide the most comprehensive, systematic, and consolidated overview of ethnogeographic ABC transporter variability with important implications for personalized medicine, clinical genetics, and precision public health.

Association of ABCC2 polymorphism and gender with high-density lipoprotein cholesterol response to simvastatin

Aim: The clinical benefits of lipid-lowering therapy with statins are widely recognized. However, the lipid-lowering efficacy of statins shows significant differences between individuals. ABCC2 has been demonstrated to contribute to the transmembrane transport of the substrate compounds. The ABCC2 SNPs may be important factors that affect individual differences in clinical drug response. The aim of this study was to evaluate the association of rs717620 of ABCC2 with treatment response to simvastatin in a Chinese Han population. Methods: A total of 318 subjects were medicated with simvastatin 20 mg/day for 12 weeks after enrollment. Venous blood was obtained before and after simvastatin treatment for measurement of blood lipid profile. Subjects were classified into high-response and low-response groups depending on whether their lipid profile change was higher or lower than median change values. The ABCC2 SNP rs717620 was genotyped from blood samples with a snapshot assay. Results: A total of 12 weeks of treatment with simvastatin significantly decreased low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TGs) and significantly increased high-density lipoprotein cholesterol (HDL-C; p < 0.05). In multivariate analysis, there were no significant genetic effects of SNP rs717620 on the incidence of high- or low-response patients among TC, TG and LDL-C groups. However, rs717620 A-allele and female gender are significantly associated with the risk of low-response of HDL-C elevation after simvastatin treatment. Conclusion: ABCC2 rs717620 and female gender may be related to the low-effect of simvastatin treatment on the HDL-C level in the Chinese Han population. Female Chinese patients with hyperlipidemia carrying rs717620 GA/AA genotypes might have reduced benefit from simvastatin treatment.

Gambogic acid improves non-small cell lung cancer progression by inhibition of mTOR signaling pathway

Gambogic acid (GA) has been shown to inhibit cancer cell proliferation, induce apoptosis, and enhance reactive oxygen species accumulation. However, whether GA could improve multidrug resistance through modulating autophagy has never been explored. We demonstrated that the combination of GA and cisplatin (CDDP) resulted in a stronger growth inhibition effect on A549 and NCI-H460 cells using the MTT assay. Furthermore, treatment with GA significantly increased autophagy in these cells. More importantly, GA-induced cell death could be largely abolished by 3-methyladenine (3-MA) or chloroquine (CQ) treatment, suggesting that GA-induced cell death was dependent on autophagy. Western blot analysis showed that GA treatment suppressed the activation of Akt, mTOR, and S6. In addition, using a GA and rapamycin combination induced more cell death compared to either GA or rapamycin alone. In summary, GA may have utility as an adjunct therapy for non-small cell lung cancer (NSCLC) patients through autophagy-dependent cell death, even when cancer cells have developed resistance to apoptosis.