Predictive potential of glutathione S-transferase polymorphisms for prognosis of osteosarcoma patients on chemotherapy

Pharmacogenetics of chemotherapy treatment response and -toxicities in patients with osteosarcoma: a systematic review

BACKGROUND

Osteosarcoma is the most common bone tumor in children and adolescents. Despite multiagent chemotherapy, only 71% of patients survives and these survivors often experience long-term toxicities. The main objective of this systematic review is to provide an overview of the discovery of novel associations of germline polymorphisms with treatment response and/or chemotherapy-induced toxicities in osteosarcoma.  METHODS: MEDLINE and Embase were systematically searched (2010-July 2022). Genetic association studies were included if they assessed > 10 germline genetic variants in > 5 genes in relevant drug pathways or if they used a genotyping array or other large-scale genetic analysis. Quality was assessed using adjusted STrengthening the REporting of Genetic Association studies (STREGA)-guidelines. To find additional evidence for the identified associations, literature was searched to identify replication studies.

RESULTS

After screening 1999 articles, twenty articles met our inclusion criteria. These range from studies focusing on genes in relevant pharmacokinetic pathways to whole genome sequencing. Eleven articles reported on doxorubicin-induced cardiomyopathy. For seven genetic variants in CELF4, GPR35, HAS3, RARG, SLC22A17, SLC22A7 and SLC28A3, replication studies were performed, however without consistent results. Ototoxicity was investigated in one study. Five small studies reported on mucosistis or bone marrow, nephro- and/or hepatotoxicity. Six studies included analysis for treatment efficacy. Genetic variants in ABCC3, ABCC5, FasL, GLDC, GSTP1 were replicated in studies using heterogeneous efficacy outcomes.

CONCLUSIONS

Despite that results are promising, the majority of associations were poorly reproducible due to small patient cohorts. For the future, hypothesis-generating studies in large patient cohorts will be necessary, especially for cisplatin-induced ototoxicity as these are largely lacking. In order to form large patient cohorts, national and international collaboration will be essential.

Pharmacogenomic Profiling of Cisplatin-Resistant and -Sensitive Human Osteosarcoma Cell Lines by Multimodal Targeted Next Generation Sequencing

Cisplatin (CDDP) is a drug for high-grade osteosarcoma (HGOS) treatment. Several germline pharmacogenetic studies have revealed associations between single nucleotide polymorphisms (SNPs) and CDDP-based therapy response or CDDP-related toxicity in patients with HGOS. Whether these variants could play a biological role in HGOS cells has not been studied so far. The aim of this study was to explore 28 SNPs of 14 genes in 6 CDDP-resistant and 12 drug-sensitive human HGOS cell lines. An innovative multimodal targeted next generation sequencing (mmNGS) approach with custom primers designed for the most commonly reported SNPs of genes belonging to DNA repair, CDDP transport or detoxification, or associated with CDPP-related toxicity was applied. The mmNGS approach was validated by TaqMan genotyping assays and emerged to be an innovative, reliable tool to detect genetic polymorphisms at both the DNA and RNA level. Allele changes in three SNPs (ERCC2 rs13181 and rs1799793, ERCC1 rs11615) were identified on both DNA and RNA derived libraries in association with CDDP resistance. A change of the GSTP1 rs1695 polymorphism from AA to AG genotype was observed in the RNA of all six CDDP-resistant variants. These SNPs emerged to be causally associated with CDDP resistance in HGOS cells.

Mechanisms of Resistance to Conventional Therapies for Osteosarcoma

Osteosarcoma (OS) is the most common primary bone tumor, mainly occurring in children and adolescents. Current standard therapy includes tumor resection associated with multidrug chemotherapy. However, patient survival has not evolved for the past decades. Since the 1970s, the 5-year survival rate is around 75% for patients with localized OS but dramatically drops to 20% for bad responders to chemotherapy or patients with metastases. Resistance is one of the biological processes at the origin of therapeutic failure. Therefore, it is necessary to better understand and decipher molecular mechanisms of resistance to conventional chemotherapy in order to develop new strategies and to adapt treatments for patients, thus improving the survival rate. This review will describe most of the molecular mechanisms involved in OS chemoresistance, such as a decrease in intracellular accumulation of drugs, inactivation of drugs, improved DNA repair, modulations of signaling pathways, resistance linked to autophagy, disruption in genes expression linked to the cell cycle, or even implication of the micro-environment. We will also give an overview of potential therapeutic strategies to circumvent resistance development.

Targeting Molecular Mechanisms Underlying Treatment Efficacy and Resistance in Osteosarcoma: A Review of Current and Future Strategies

Osteosarcoma is the most common primary malignant bone tumour in children and adolescents. Due to micrometastatic spread, radical surgery alone rarely results in cure. Introduction of combination chemotherapy in the 1970s, however, dramatically increased overall survival rates from 20% to approximately 70%. Unfortunately, large clinical trials aiming to intensify treatment in the past decades have failed to achieve higher cure rates. In this review, we revisit how the heterogenous nature of osteosarcoma as well as acquired and intrinsic resistance to chemotherapy can account for stagnation in therapy improvement. We summarise current osteosarcoma treatment strategies focusing on molecular determinants of treatment susceptibility and resistance. Understanding therapy susceptibility and resistance provides a basis for rational therapy betterment for both identifying patients that might be cured with less toxic interventions and targeting resistance mechanisms to sensitise resistant osteosarcoma to conventional therapies.

Pharmacogenomics and Pharmacogenetics in Osteosarcoma: Translational Studies and Clinical Impact

High-grade osteosarcoma (HGOS) is a very aggressive bone tumor which primarily affects adolescents and young adults. Although not advanced as is the case for other cancers, pharmacogenetic and pharmacogenomic studies applied to HGOS have been providing hope for an improved understanding of the biology and the identification of genetic biomarkers, which may impact on clinical care management. Recent developments of pharmacogenetics and pharmacogenomics in HGOS are expected to: i) highlight genetic events that trigger oncogenesis or which may act as drivers of disease; ii) validate research models that best predict clinical behavior; and iii) indicate genetic biomarkers associated with clinical outcome (in terms of treatment response, survival probability and susceptibility to chemotherapy-related toxicities). The generated body of information may be translated to clinical settings, in order to improve both effectiveness and safety of conventional chemotherapy trials as well as to indicate new tailored treatment strategies. Here, we review and summarize the current scientific evidence for each of the aforementioned issues in view of possible clinical applications.

GSTP1 and cancer: Expression, methylation, polymorphisms and signaling (Review)

Glutathione S‑transferase Pi (GSTP1) is an isozyme encoded by the GST pi gene that plays an important regulatory role in detoxification, anti‑oxidative damage, and the occurrence of various diseases. The aim of the present study was to review the association between the expression of GSTP1 and the development and treatment of various cancers, and discuss GSTP1 methylation in several malignant tumors, such as prostate, breast and lung cancer, as well as hepatocellular carcinoma; to review the association between polymorphism of the GSTP1 gene and various diseases; and to review the effects of GSTP1 on electrophilic oxidative stress, cell signal transduction, and the regulation of carcinogenic factors. Collectively, GSTP1 plays a major role in the development of various diseases.

Association of GSTM1, GSTT1, GSTM3, and GSTP1 Genes Polymorphisms with Susceptibility to Osteosarcoma: a Case- Control Study and Meta-Analysis

Background: Some studies have investigated the association of GSTM1, GSTT1, GSTM3, and GSTP1 polymorphisms with susceptibility to osteosarcoma; however, these studies results are inconsistent and inconclusive. In order to drive a more precise estimation, the present case-control study and meta-analysis was performed to investigate association of GSTM1, GSTT1, GSTM3, and GSTP1 polymorphisms with osteosarcoma. Methods: Eligible articles were identified by a search of several electronic databases for the period up to May 5, 2018. Odds ratios were pooled using either fixed-effects or random effects models. Results: Finally, a total of 24 case-control studies with 2,405 osteosarcoma cases and 3,293 controls were included in the present meta-analysis. Overall, significantly increased osteosarcoma risk was found when all studies were pooled into the meta-analysis of GSTT1 (Null vs. Present: OR= 1.247 95% CI 1.020-1.524, P= 0.031) and GSTP1 polymorphism (B vs. A: OR= 8.899 95% CI 2.722-29.094, P≤0.001). In the stratified, significantly increased osteosarcoma risk was observed for GSTT1 polymorphism among Asians (Null vs. Present: OR= 1.300 95% CI 1.034-1.635, P= 0.025), but not among Caucasians. Conclusions: This meta-analysis demonstrated that GSTP1 and GSTT1 null genotype are associated with the risk of osteosarcoma. Future large welldesigned epidemiological studies are warranted to validate our results.

Current understanding of pharmacogenetic implications of DNA damaging drugs used in osteosarcoma treatment

INTRODUCTION

DNA damaging drugs are widely used for the chemotherapeutic treatment of high-grade osteosarcoma (HGOS). In HGOS patients, several germline polymorphisms have been reported to impact on the development of adverse toxic events related to DNA damaging drugs treatment. Some of these polymorphisms, when present in tumor cells, may also influence treatment response and prognosis of HGOS patients. Area covered: In this review, the authors have focused on pharmacogenetic markers (mainly germline polymorphisms) described in patients with HGOS, which have proved or indicated to be related to the susceptibility to adverse toxic reactions and/or to influence response to DNA damaging drugs. The concordant and discordant results reported in different studies have also been discussed. Expert opinion: Response and toxicity predisposition to DNA damaging drugs are influenced by genes encoding proteins involved in their uptake, efflux, activation, inactivation, and in DNA repair, activity of which may vary according to specific gene variations. In HGOS, there is a substantial medical need for biomarkers predictive for individual response and toxicity predisposition to DNA-targeting drugs, which may be used to tailor therapy in order to decrease the occurrence of adverse side effects and increase treatment efficacy and safety.

GSTP1 A>G polymorphism and chemosensitivity of osteosarcoma: A meta-analysis

The association between GSTP1 A>G polymorphism and chemosensitivity of osteosarcoma is controversial according to previously published studies. We conducted this meta-analysis to further investigate the role of GSTP1 A>G genetic variation in response to chemotherapy resistance in patients with osteosarcoma. Using the electronic databases of Pubmed, Wanfang and CNIK were searched to find the studies related to the GSTP1 A>G polymorphism and chemosensitivity of osteosarcoma. The genotype of AA, AG and GG were extracted from the chemotherapy sensitivity and chemotherapy resistance group. The association between GSTP1 A>G polymorphism and chemosensitivity was calculated by STATA11.0 software. The correlation between GSTP1 A>G polymorphism and chemotherapy response was assessed by odds ratio (OR) and its 95% confidence interval (95%CI). Four studies with 681 cases were finally included in this meta-analysis. The pooled data indicated that there was no significant association between GSTP1 A>G polymorphism and chemosensitivity in patients with osteosarcoma [Homozygous genetic model (GG vs AA): OR=0.53, 95%CI: 0.25-1.12, P=0.10; recessive genetic model (GG vs GA+AA): OR=0.61, 95%CI:0.34-1.11,P=0.11; and dominant genetic model (GG+AG vs AA): OR=0.67, 95%CI:0.42-1.07,P=0.10]. No correlation between GSTP1 A>G polymorphism and chemosensitivity was found according to this present meta-analysis. However, the small number of cases in each included study and significant statistical heterogeneity among the trials means the conclusion should be regarded as conservative.

The role of pharmacogenetics in the treatment of osteosarcoma

In osteosarcoma, large variation is observed in the efficacy and toxicity of chemotherapeutic drugs among similarly treated patients. Treatment optimization using predictive factors or algorithms is of importance, because there has been a lack of improvement of treatment outcome and survival for decades. The outcome of cancer treatment is influenced by the genome, thus studying genetic variants involved in the efficacy and toxicity of the chemotherapeutic drugs used in the treatment of osteosarcoma could be an opportunity to optimize current treatments and improve our understanding of the individual's drug response in osteosarcoma patients. This review discusses the current insights in the pharmacogenetics of the treatment response of osteosarcoma patients regarding efficacy and toxicity, and implications for future research and treatment.

The pharmacogenomics of osteosarcoma

Osteosarcoma (OS), the most common malignant tumor of bone, is presently treated with multidrug neoadjuvant chemotherapy protocols, which allow to cure 60-65% of patients but also induce toxicity events that cannot be predicted or efficiently prevented. The identification and validation of pharmacogenomic biomarkers is, therefore, absolutely warranted to provide the bases for planning personalized treatments with the aim to increase the therapeutic benefits and to avoid or limit unnecessary toxicities. As several targeted therapies against molecular and immunological markers in OS are presently under clinical investigation, it may be speculated that some new agents for innovative treatments may emerge in the next years. However, the real improvement of therapeutic perspectives for OS is strictly connected to the identification of pharmacogenomic biomarkers that may stratify patients in responders or non-responders and identify those individuals with higher susceptibility to treatment-associated toxicity. This review provides an overview of the pharmacogenomic biomarkers identified so far in OS, which appear to be promising candidates for a translation to clinical practice, after further investigation and/or prospective validation.

Association between GSTP1 polymorphisms and prognosis of osteosarcoma in patients treated with chemotherapy: a meta-analysis

Objective

The aim of this study was to evaluate the relationship between GSTP1 polymorphisms and prognosis of osteosarcoma in patients treated with chemotherapy, by performing a meta-analysis.

Methods

The studies of effects of GSTP1 gene polymorphisms on osteosarcoma survival after chemotherapy were collected. STATA (version 12.0) was used to perform data synthesis.

Results

Six studies involving 898 participants were included. A meta-analysis was performed on studies in GSTP1 313A>G(rs1695) assessing the association between tumor response and the polymorphisms in GSTP1 (AA vs AG, AA vs GG), the pooled odds ratios (ORs) were 2.06 (95% confidence interval [CI]: 1.48–2.86, P=0.628, I²=0.0%). There was significant association between the polymorphisms in GSTP1 (AA vs AG, AA vs GG) and the events that happened, the pooled ORs were 1.86 (95% CI: 1.14–3.06, P=0.034, I²=58.6%), and there was significant association between the polymorphisms in GSTP1 (AA vs AG, AA vs GG) and survival times (overall survival and progression-free survival) in osteosarcoma patients treated with chemotherapy, and the pooled ORs were 2.14 (95% CI: 1.51–3.04, P=0.675, I²=0.0%) and 2.77 (95% CI: 1.56–4.91, P=0.347, I²=9.3%), respectively. Two studies assessed the association of polymorphisms in GSTP1 I105V (IIe/IIe vs IIe/Val, IIe/IIe vs Val/Val) with overall survival in human osteosarcoma. The pooled ORs were 1.20 (95% CI: 0.64–2.27, P=0.010, I²=73.5%). The study showed an insignificant difference in overall survival for the polymorphisms in GSTP1 (IIe/IIe vs IIe/Val, IIe/IIe vs Val/Val).

Conclusion

This meta-analysis indicated that GSTP1 polymorphisms might influence osteosarcoma risk and suggests that GSTP1 polymorphisms may be an important risk factor for osteosarcoma.

Role of pharmacogenetics of drug-metabolizing enzymes in treating osteosarcoma

INTRODUCTION

Drug-metabolizing enzymes (DMEs) biotransform several toxins and xenobiotics in both tumor and normal cells, resulting in either their detoxification or their activation. Since DMEs also metabolize several chemotherapeutic drugs, they can significantly influence tumor response to chemotherapy and susceptibility of normal tissues to collateral toxicity of anticancer treatments.

AREAS COVERED

This review discusses the pharmacogenetics of DMEs involved in the metabolism of drugs which constitute the backbone of osteosarcoma (OS) chemotherapy, highlighting what is presently known for this tumor and their possible impact on the modulation of future treatment approaches.

EXPERT OPINION

Achieving further insight into pharmacogenetic markers and biological determinants related to treatment response in OS may ultimately lead to individualized treatment regimens, based on a combination of genotype and tumor characteristics of each patient.

Role of five small nucleotide polymorphisms in the VEGF gene on the susceptibility to osteosarcoma and overall survival of patients

The present study aimed to investigate the association between five common small nucleotide polymorphisms (SNPs) in the VEGF gene and the risk of osteosarcoma. An additional aim was to investigate the role of these five SNPs on the prognosis of osteosarcoma. A total of 186 patients with osteosarcoma and 186 age- and sex-matched healthy controls were enrolled into the present study. A polymerase chain reaction-restriction fragment length polymorphism assay was conducted to determine the incidence of the VEGF-2578 C/A, -1156 G/A, +1612 G/A, +936 C/T and -634 G/C polymorphisms. Conditional logistic regression analyses revealed that individuals carrying the -634 GG genotype possessed a significantly increased risk of osteosarcoma, with an adjusted odds ratio [(95% confidence interval (CI)] of 2.00 (1.07-3.75). In the Cox proportional hazards model, subsequent to adjusting for potential confounding factors, patients with osteosarcoma carrying the -634 GG genotype were found to demonstrate a shorter overall survival time (hazard ratio, 3.10; 95% CI, 1.17-8.38). The VEGF-634 G/C polymorphism may therefore be used as a genetic marker for the prediction of the risk and clinical outcome of osteosarcoma.

Genetic variability of DNA repair mechanisms and glutathione-S-transferase genes influences treatment outcome in osteosarcoma

BACKGROUND

Osteosarcoma patients are commonly treated with cisplatin-based preoperative and postoperative chemotherapy. Cisplatin binds to DNA and forms both intrastrand and interstrand crosslinks, inhibiting DNA replication. Glutathione-S-transferases (GSTs) participate in cisplatin detoxification, while several independent DNA repair mechanisms repair cisplatin-induced lesions. The aim of our study was to investigate the influence of genetic variability of DNA repair mechanisms and GSTs on efficacy and toxicity of cisplatin-based chemotherapy in osteosarcoma patients.

METHODS

A total of 66 osteosarcoma patients were genotyped for ERCC1, ERCC2, NBN, RAD51, XRCC3, and GSTP1 polymorphisms, as well as GSTM1 and GSTT1 gene deletion. We determined the influence of polymorphisms on survival and treatment outcome using Cox regression and logistic regression.

RESULTS

Carriers of at least one polymorphic ERCC2 rs1799793 allele had longer event-free survival (EFS) (P=0.006; hazard ratio (HR)=0.28; 95% confidence interval (CI)=0.11-0.70). Polymorphic GSTP1 rs1138272 allele was associated with both shorter EFS and OS (P=0.005; HR=3.67; 95%CI=1.47-9.16; and P=0.004; HR=3.52; 95%CI=1.51-8.22, respectively). Compared to the reference NBN CAA haplotype, NBN CGA haplotype was associated with shorter EFS (P=0.001; HR=4.12; 95%CI=1.77-9.56).

CONCLUSIONS

Our results suggest that DNA repair polymorphisms and GST polymorphisms could be used as predictive factors for cisplatin-based chemotherapy in osteosarcoma patients and could contribute to treatment personalization.

Glutathione S-transferase as a toxicity indicator in general anesthesia: genetics and biochemical function

General anesthesia may lead in patients to unexpected and adverse reactions including toxicity. Glutathione S-transferases (GSTs) are enzymes responsible for the detoxification process of anesthetic agents. Plasma and urine GST measurements are used in multiple studies as a hepatocellular integrity or renal injury indicator. The importance of GST enzyme measurements in monitoring the hepatotoxic and nephrotoxic effect in anesthetized patients is presented. The biochemical function and specific properties of GST render it a prognostic biomarker. This review demonstrates that GST can be valuable and promising toxicity indicator in patients undergoing general anesthesia.

Predictive potential of ABCB1, ABCC3, and GSTP1 gene polymorphisms on osteosarcoma survival after chemotherapy

Genetic polymorphisms in drug metabolism and transport genes can influence the pharmacokinetics and pharmacodynamics of chemotherapy drugs. We investigated the role of genes involved in metabolic and transport pathways in response to chemotherapy and clinical outcome of osteosarcoma patients. The association between the eight polymorphisms with response to chemotherapy and clinical outcome of patients was carried out by unconditional logistic regression analysis and Cox proportional hazard models. Of 186 patients, 98 patients showed good response to chemotherapy, 64 died, and 97 showed progression at the end of the study. Patients carrying ABCB1 rs1128503 TT genotype and T allele were more likely to have a good response to chemotherapy. ABCC3 rs4148416 TT genotype and T allele and GSTP1 rs1695 GG genotype and G allele were associated with poor response to chemotherapy. In the Cox proportional hazards model, after adjusting for potential confounding factors, patients carrying ABCB1 rs1128503 TT genotype and T allele were associated with lower risk of progression-free survival (PFS) and overall survival (OS). ABCC3 rs4148416 TT genotype and T allele and GSTP1 rs1695 GG genotype and G allele were correlated with high risk of PFS and OS. The ABCB1 TT and GSTP1 GG genotypes were significantly associated with a shorter OS. In conclusion, variants of ABCB1 rs128503, ABCC3 rs4148416, and GSTP1 rs1695 are associated with response to chemotherapy and PFS and OS of osteosarcoma patients; these gene polymorphisms could help in the design of individualized therapy.

Genetic polymorphisms of interleukin-1 beta and osteosarcoma risk

PURPOSE

Osteosarcoma is the most common childhood bone cancer. Interleukin-1 beta (IL-1B) is crucially involved in osteosarcoma carcinogenesis. Whether genetic polymorphisms of IL-1B also influence osteosarcoma risk is unknown. The aim of this study was to investigate the association between IL-1B gene polymorphisms and osteosarcoma risk in Chinese Han patients.

METHODS

A hospital-based case-control study involving 120 osteosarcoma patients and 120 controls was conducted. Polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) analysis was performed to detect three IL-1B gene polymorphisms (-31 T/C, -511 C/T and +3954 C/T) in these patients.

RESULTS

Patients with osteosarcoma had a significantly lower frequency of -31 CC genotype [odds ratio (OR) = 0.40, 95% confidence interval (CI) = 0.17-0.92; P = 0.03] and -31 C allele (OR = 0.67, 95% CI = 0.46-0.99; P = 0.04) than controls. Patients with osteosarcoma had a significantly lower frequency of -511 TT genotype (OR = 0.40, 95% CI = 0.17-0.95; P = 0.04) than controls. The +3954 C/T gene polymorphisms were not associated with a risk of osteosarcoma. When stratified by Enneking stage, tumour location, histological type, tumour metastasis of osteosarcoma and family history of cancer, no statistically significant results were found.

CONCLUSIONS

This is the first study to provide evidence for an association of IL-1B gene polymorphisms with osteosarcoma risk.

The association of glutathione S-transferase polymorphisms in patients with osteosarcoma: evidence from a meta-analysis

Osteosarcoma is a life-threatening malignancy that often occurs in teenagers. Numerous studies have reported glutathione S-transferase polymorphisms are associated with osteosarcoma, but the results are inconclusive, partially because the sample size in each of published studies is relatively small. Therefore, we performed a meta-analysis of the published studies to estimate the association more accurately. To preciously examine the association between the glutathione S-transferase polymorphisms and osteosarcoma, we undertook a meta-analysis of six case-control studies. The association between the glutathione S-transferase polymorphisms and osteosarcoma risk was assessed by odds ratios together with their 95% confidence intervals using a fixed-effects model or random-effects model. In addition, hazard ratio was used to measure the relationship between glutathione S-transferase polymorphisms and prognosis in patients with osteosarcoma. We found that there was significant association between the polymorphisms in GSTT1 or GSTM3 (AA versus BB) and osteosarcoma risk. In addition, there is no evidence of association on GSTM1, GSTT1, GSTP1 (IIe/IIe versus IIe/Val) or GSTP1 (IIe/IIe versus Val/Val) polymorphisms with prognosis in osteosarcoma. In conclusion, the GSTT1 and GSTM3 polymorphisms might influence osteosarcoma risk.

Molecular mechanisms of chemoresistance in osteosarcoma (Review)

Due to the emergence of adjuvant and neoadjuvant chemotherapy, the survival rate has been greatly improved in osteosarcoma (OS) patients with localized disease. However, this survival rate has remained unchanged over the past 30 years, and the long-term survival rate for OS patients with metastatic or recurrent disease remains poor. To a certain extent, the reason behind this may be ascribed to the chemoresistance to anti-OS therapy. Chemoresistance in OS appears to be mediated by numerous mechanisms, which include decreased intracellular drug accumulation, drug inactivation, enhanced DNA repair, perturbations in signal transduction pathways, apoptosis- and autophagy-related chemoresistance, microRNA (miRNA) dysregulation and cancer stem cell (CSC)-mediated drug resistance. In addition, methods employed to circumvent these resistance mechanism have been shown to be effective in the treatment of OS. However, almost all the current studies on the mechanisms of chemoresistance in OS are in their infancy. Further studies are required to focus on the following aspects: i) Improving the delivery of efficacy through novel delivery patterns; ii) improving the understanding of the signal transduction pathways that regulate the proliferation and growth of OS cells; iii) elucidating the signaling pathways of autophagy and its association with apoptosis in OS cells; iv) utilizing high-throughput miRNA expression analysis to identify miRNAs associated with chemoresistance in OS; and v) identifying the role that CSCs play in tumor metastasis and in-depth study of the mechanism of chemoresistance in the CSCs of OS.

Predictive role of Glutathione S-transferases (GSTs) on the prognosis of osteosarcoma patients treated with chemotherapy

OBJECTIVE

We conducted a comprehensive study to investigate the role of GSTM1, GSTTI and GSTP1 genetic variation involved in transport pathways in response to chemotherapy and clinical outcome of osteosarcoma.

METHODS

A total of 146 patients were included in our study between January 2008 and December 2009. All the patients were followed up to death or January 2012. Genotyping of GSTM1, GSTT1 and GSTP1 was conducted in a 384-well plate format on the Sequenom MassARRAY platform.

RESULTS

Sixty seven patients (45.9%) died during the follow-up period. The median age of patients was 14.2 years and ranged from 9.3 to 38.7 years. The median follow-up time was 29.6 months (range 5 to 60 months). Individuals with GSTP1 G/G genotype tended to live shorter than A/A genotype, and we found a significantly higher risk of death from osteosarcoma (adjusted HR=2.73, 95% CI=1.05-7.45). Individuals with the GSTP GG genotype were more likely to have a poor response to chemotherapy, with an OR of 2.73 (95%CI, 1.07-7.81). However, we did not find association of polymorphisms in GSTM1 and GSTT1 with response to chemotherapy and prognosis of osteosarcoma.

CONCLUSION

Our study provides information for prediction of treatment outcome in clinical oncology. Due to the limited number of samples, the results of our study need to be confirmed by large sample size studies.

Glutathione S-transferase P1 and DNA polymorphisms influence response to chemotherapy and prognosis of bone tumors

Osteosarcoma is the most common primary bone malignancy in children and adolescents, and its clinical outcome is poor. We evaluated the influence of GSTP1, ERCC1 and ERCC2 polymorphisms on response to chemotherapy among osteosarcoma patients, and the significnace of these genes for prognosis. A total of 187 patients with osteosarcoma were administered methotrexate, cisplatin/adriamycin, actinomycin D, cyclophosphamide, or vincristine. GSTP1, ERCC1 and ERCC2 polymorphisms were genotyped by PCR-RFLP assay. The results showed the average survival time of 187 patients were 38.4 months. Some 97 patients showed response to neoadjuvant chemotherapy. The GSTP1 Val and ERCC2 A/A genotypes had significantly higher rates of response to chemotherapy, with adjusted OR (95% CI) of 2.19 (1.15-6.21) and 2.88 (1.14-13.3). Individuals with the ERCC2 A/A genotype were likely to have a lower risk of death from oseosarcoma, and the adjusted HR was 0.32 (0.13-0.95). Our study indicated that GSTP1 and ERCC2 Lys751Gln polymorphisms might be candidate pharmacogenomic factors to be explored in the future to identify osteosarcoma patients who might benefit from chemotherapy.