SLCO1B1 Polymorphism Is a Drug Response Predictive Marker for Advanced Pancreatic Cancer Patients Treated With Gemcitabine, S-1, or Gemcitabine Plus S-1.

OBJECTIVES: The aim of this study was to evaluate the effects of single-nucleotide polymorphisms (SNPs) on advanced pancreatic cancer risk and overall survival (OS) in a candidate-gene approach. METHODS: Overall, 5438 SNPs in 219 candidate genes encoding several drug-metabolizing enzymes or transporters were analyzed. In the screening study, 3 SNPs were found associated with OS (P ≤ 0.0005). We validated these SNPs as part of the randomized phase 3 study (GEST study). The associations between OS and SNPs were investigated using log-rank test and Cox proportional hazards model. RESULTS: From the GEST study, the SNP rs4149086 in the 3' UTR of the solute carrier organic anion transporter family member 1B1 (SLCO1B1) gene showed significant interaction with treatment (P = 0.02). In the gemcitabine group, the SNP was associated with short OS (hazard ratio [HR], 3.75; 95% confidence interval [CI], 1.30-10.8; P = 0.008) even after multiple-comparisons adjustment. In contrast, the SNP was not associated with OS in S-1 (HR, 0.77; 95% CI, 0.33-1.81; P = 0.55) or gemcitabine plus S-1 groups (HR, 1.18; 95% CI, 0.46-3.00; P = 0.72). CONCLUSIONS: Patients with advanced pancreatic cancer with the rs4149086 AG or GG genotype may obtain good clinical results when treated with S-1-containing regimens.

Absence of ethnic differences in the pharmacokinetics of moxifloxacin, simvastatin, and meloxicam among three East Asian populations and Caucasians.

AIM: To examine whether strict control of clinical trial conditions could reduce apparent differences of pharmacokinetic (PK) parameters among ethnic groups. METHODS: Open-label, single dose PK studies of moxifloxacin, simvastatin and meloxicam were conducted in healthy male subjects from three East Asian populations (Japanese, Chinese and Koreans) and one Caucasian population as a control. These three drugs were selected because differences in PK parameters have been reported, even though the backgrounds of these East Asian populations are similar. Moxifloxacin (400 mg) was administered orally to 20 subjects, and plasma and urine levels of moxifloxacin and its metabolite (M2) were measured. Simvastatin (20 mg) was given to 40 subjects, and plasma levels of simvastatin and simvastatin acid were measured. Meloxicam (7.5 mg) was given to 30 subjects and its plasma concentration was determined. Intrinsic factors (polymorphism of UGT1A1 for moxifloxacin, SLCO1B1 for simvastatin, and CYP2C9 for meloxicam) were also examined. RESULTS: AUCinf values for moxifloxacin, simvastatin and meloxicam showed no significant differences among the East Asian groups. Cmax values of moxifloxacin and simvastatin, but not meloxicam, showed significant differences. There were no significant differences of data for M2 or simvastatin acid. Genetic analysis identified significant differences in the frequencies of relevant polymorphisms, but these differences did not affect the PK parameters observed. CONCLUSIONS: Although there were some differences in PK parameters among the three East Asian groups, the present study performed under strictly controlled conditions did not reproduce the major ethnic differences observed in previous studies.

Construction of possible integrated predictive index based on EGFR and ANXA3 polymorphisms for chemotherapy response in fluoropyrimidine-treated Japanese gastric cancer patients using a bioinformatic method.

BACKGROUND: Variability in drug response between individual patients is a serious concern in medicine. To identify single-nucleotide polymorphisms (SNPs) related to drug response variability, many genome-wide association studies have been conducted. METHODS: We previously applied a knowledge-based bioinformatic approach to a pharmacogenomics study in which 119 fluoropyrimidine-treated gastric cancer patients were genotyped at 109,365 SNPs using the Illumina Human-1 BeadChip. We identified the SNP rs2293347 in the human epidermal growth factor receptor (EGFR) gene as a novel genetic factor related to chemotherapeutic response. In the present study, we reanalyzed these hypothesis-free genomic data using extended knowledge. RESULTS: We identified rs2867461 in annexin A3 (ANXA3) gene as another candidate. Using logistic regression, we confirmed that the performance of the rs2867461 + rs2293347 model was superior to those of the single factor models. Furthermore, we propose a novel integrated predictive index (iEA) based on these two polymorphisms in EGFR and ANXA3. The p value for iEA was 1.47 × 10(-8) by Fisher's exact test. Recent studies showed that the mutations in EGFR is associated with high expression of dihydropyrimidine dehydrogenase, which is an inactivating and rate-limiting enzyme for fluoropyrimidine, and suggested that the combination of chemotherapy with fluoropyrimidine and EGFR-targeting agents is effective against EGFR-overexpressing gastric tumors, while ANXA3 overexpression confers resistance to tyrosine kinase inhibitors targeting the EGFR pathway. CONCLUSIONS: These results suggest that the iEA index or a combination of polymorphisms in EGFR and ANXA3 may serve as predictive factors of drug response, and therefore could be useful for optimal selection of chemotherapy regimens.

[Utilization of Genomic Biomarkers for Post-marketing Safety of Drugs].

To prevent adverse drug reactions in the post-marketing phase, therapeutic drug monitoring and various laboratory tests have been used for decades. Recently, data on associations between drug adverse reactions and biomarkers based on "omics" technologies/studies have been increasing. Using genomic biomarkers, patients at high risk for developing side effects can be distinguished before initiating medical treatment, allowing the choice of an appropriate drug/initial dosage regimen. Biomarkers based on proteomics or metabolomics can detect the onset of adverse reactions at an earlier stage than can be accomplished with classical laboratory tests. However, the clinical use of drug safety-related biomarkers is still limited compared with biomarkers that predict drug efficacy of, for example, molecular-targeted drugs. In this symposium, genomic biomarkers associated with the safety of anticancer drugs and idiosyncratic adverse reactions are introduced and compared between Japan and other countries. Prospective studies evaluating the application of screening tests to prevent adverse drug reactions are also shown, and steps necessary to accelerate the use of drug safety-related biomarkers are discussed.

Application of a combination of a knowledge-based algorithm and 2-stage screening to hypothesis-free genomic data on irinotecan-treated patients for identification of a candidate single nucleotide polymorphism related to an adverse effect.

Interindividual variation in a drug response among patients is known to cause serious problems in medicine. Genomic information has been proposed as the basis for "personalized" health care. The genome-wide association study (GWAS) is a powerful technique for examining single nucleotide polymorphisms (SNPs) and their relationship with drug response variation; however, when using only GWAS, it often happens that no useful SNPs are identified due to multiple testing problems. Therefore, in a previous study, we proposed a combined method consisting of a knowledge-based algorithm, 2 stages of screening, and a permutation test for identifying SNPs. In the present study, we applied this method to a pharmacogenomics study where 109,365 SNPs were genotyped using Illumina Human-1 BeadChip in 168 cancer patients treated with irinotecan chemotherapy. We identified the SNP rs9351963 in potassium voltage-gated channel subfamily KQT member 5 (KCNQ5) as a candidate factor related to incidence of irinotecan-induced diarrhea. The p value for rs9351963 was 3.31×10-5 in Fisher's exact test and 0.0289 in the permutation test (when multiple testing problems were corrected). Additionally, rs9351963 was clearly superior to the clinical parameters and the model involving rs9351963 showed sensitivity of 77.8% and specificity of 57.6% in the evaluation by means of logistic regression. Recent studies showed that KCNQ4 and KCNQ5 genes encode members of the M channel expressed in gastrointestinal smooth muscle and suggested that these genes are associated with irritable bowel syndrome and similar peristalsis diseases. These results suggest that rs9351963 in KCNQ5 is a possible predictive factor of incidence of diarrhea in cancer patients treated with irinotecan chemotherapy and for selecting chemotherapy regimens, such as irinotecan alone or a combination of irinotecan with a KCNQ5 opener. Nonetheless, clinical importance of rs9351963 should be further elucidated.

Genetic factors associated with gemcitabine pharmacokinetics, disposition, and toxicity.

AIM: The goal of this work was to investigate the associations of genetic and environmental factors with gemcitabine disposition and toxicity from genomewide data using a novel information theoretic approach. METHODS: We utilized the information theoretic K-way interaction information (KWII) metric to detect gene-gene and gene-environment interactions associated with gemcitabine disposition and gemcitabine-induced neutropenia in genomic and clinical data from Japanese cancer patients. RESULTS: The information theoretic KWII analyses identified age and four genes - DMD, HEXDC, CNTN4, and ALOX5AP - to be associated with gemcitabine pharmacokinetics (PK). The rs4769060 single-nucleotide polymorphism in the ALOX5AP gene was associated with all PK parameters studied. For gemcitabine-induced neutropenia, multiple associations with long intergenic noncoding RNA regions were detected. Pathway analysis identified leukotriene and eoxin synthesis, platelet homeostasis, and L1CAM interactions as potential pathways associated with gemcitabine disposition. CONCLUSION: The KWII analyses detected novel associations with gemcitabine PK and toxicity. These results could be used to inform future investigations involving gemcitabine efficacy in clinical settings.

[Biomarker exploration and its clinical use].

Biomarkers are useful tools as indicators/predictors of disease severity and drug responsiveness, and thus, are expected to make drug development more efficient and to accelerate proper use of approved drugs. Many academic achievements on biomarkers have been reported, but only several biomarkers are used in drug development and clinical settings. We first show our results on the pharmacogenomic analysis of the anti-cancer drug irinotecan and of Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN). UGT1A1*6 and *28 were significantly associated with altered pharmacokinetics of an irinotecan metabolite, SN-38, and with increased frequency of severe neutropenia. HLA* 58:01 and HLA-B*15:11/HLA-A*31:01 were associated with SJS/TEN by allopurinol and carbamazepine, respectively. Our papers have been cited in the package inserts of irinotecan and allopurinol. In addition to these genomic biomarkers, metabolomic biomarkers, which can reflect the disease phenotype and drug responsiveness, have been exploring for 12 major diseases in Japan, as a part of a multi-omics team with multi-national centers. In animal models of dilated cardiomyopathy and Alzheimer's disease, we found several changes in lipid metabolite levels in the diseased tissues. Moreover, two oxidized fatty acids were correlatively changed in the brain and plasma from Alzheimer's model mice before its onset, and thus, could be candidates for predictive biomarkers. Finally, we propose/discuss several key issues for academic researches on biomarker discovery and development, especially for newly coming researchers in the field of pharmaceutical sciences. We hope that this review would help novel biomarker identification and qualification in Japan.

Identification of a candidate single-nucleotide polymorphism related to chemotherapeutic response through a combination of knowledge-based algorithm and hypothesis-free genomic data.

Inter-individual variations in drug responses among patients are known to cause serious problems in medicine. Genome-wide association study (GWAS) is powerful for examining single-nucleotide polymorphisms (SNPs) and their relationships with drug response variations. However, no significant SNP has been identified using GWAS due to multiple testing problems. Therefore, we propose a combination method consisting of knowledge-based algorithm, two stages of screening, and permutation test for identifying SNPs in the present study. We applied this method to a genome-wide pharmacogenomics study for which 109,365 SNPs had been genotyped using Illumina Human-1 BeadChip for 119 gastric cancer patients treated with fluoropyrimidine. We identified rs2293347 in epidermal growth factor receptor (EGFR) is as a candidate SNP related to chemotherapeutic response. The p value for the rs2293347 was 2.19 × 10(-5) for Fisher's exact test, and the p value was 0.00360 for the permutation test (multiple testing problems are corrected). Additionally, rs2293347 was clearly superior to clinical parameters and showed a sensitivity value of 55.0% and specificity value of 94.4% in the evaluation by using multiple regression models. Recent studies have shown that combination chemotherapy of fluoropyrimidine and EGFR-targeting agents is effective for gastric cancer patients highly expressing EGFR. These results suggest that rs2293347 is a potential predictive factor for selecting chemotherapies, such as fluoropyrimidine alone or combination chemotherapies.

Pharmacogenomics of severe cutaneous adverse reactions and drug-induced liver injury.

Rare but severe adverse drug reactions (ADRs) are an important issue in drug development and in the proper usage of drugs during the post-approval phase. The ability to predict patient susceptibility to severe ADRs would prevent drug administration to high-risk patients. This would save lives and ensure the quality of life for these patients, but occurrence of idiosyncratic severe ADRs had been very difficult to predict for a long time. However, in this decade, genetic markers have been found for several ADRs, especially for severe cutaneous adverse reactions (SCARs) and drug-induced liver injury (DILI). In this review, we summarize recent progress in identifying genetic markers for SCARS and DILI, and discuss issues that remain unresolved. As for SCARs, associations of HLA-B*15:02 or HLA-A*31:01 and HLA-B*58:01 have been revealed for carbamazepine- and allopurinol-related Stevens-Johnson syndrome and toxic epidermal neclolysis, respectively. HLA-B*57:01 is strongly associated with abacavir-induced hypersensitivity syndrome. Several HLA alleles also demonstrate drug-specific associations with DILI, such as HLA-A*33:03 for ticlopidine, HLA-B*57:01 for flucloxacillin and HLA-DQA1*02:01 for lapatinib. Efforts should be continued to find other genetic markers to achieve high predictability for ADRs, with the goal being development of genetic tests for use in clinical settings.

Development of a rapid and inexpensive assay for detecting a surrogate genetic polymorphism of HLA-B*58:01: a partially predictive but useful biomarker for allopurinol-related Stevens-Johnson syndrome/toxic epidermal necrolysis in Japanese.

Allopurinol-induced Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN) is strongly associated with HLA-B*58:01 in various populations including Japanese. We demonstrated that several single nucleotide polymorphisms (SNPs) around the HLA region on chromosome 6 were strongly linked with HLA-B*58:01 in a previous study using Japanese allopurinol-related SJS/TEN patients. Their very strong linkage suggests that these SNPs could be used as surrogate biomarkers to find carriers of HLA-B*58:01 to avoid these serious adverse effects. In the present study, to expedite the application of this pharmacogenomic information to the proper usage of allopurinol in a clinical situation, we developed a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay for the genotyping of rs9263726 in the psoriasis susceptibility 1 candidate 1 (PSORS1C1) gene, which is in absolute linkage disequilibrium (r(2) = 1, D' = 1) with HLA-B*58:01. The developed PCR-RFLP assay using FokI restriction enzyme was able to detect three different genotypes, GG, GA, and AA of rs9263726 robustly, and thus to find HLA-B*58:01 carriers. This robust and inexpensive assay would be useful for pre-screening the subjects with HLA-B*58:01, a genetically high risk factor for allopurinol-induced SJS/TEN.

Genetic variation and haplotype structures of the glutathione S-transferase genes GSTA1 and GSTA2 in Japanese colorectal cancer patients.

Glutathione S-transferases (GSTs) play a vital role in the phase II biotransformation of many chemicals, including anticancer drugs. In this study, to elucidate the haplotype structures of the two closely related alpha-class genes GSTA1 and GSTA2, we screened for genetic variation in 214 Japanese colorectal cancer patients who received oxaliplatin-based chemotherapy. By direct resequencing of the 5'-flanking region, all the exons, and their flanking introns for 107 patients, 29 and 27 variants were identified in GSTA1 and GSTA2, respectively. The known functional single nucleotide polymorphisms (SNPs) -567T>G, -69C>T, and -52G>A in GSTA1*B were found at allele frequencies of 0.140. Of the four major GSTA2 allelic variants reported previously (GSTA2*A, *B, *C, and *E), only GSTA2*B (frequency = 0.154), *C (0.706), and *E (0.140) were detected. Following linkage disequilibrium analysis, haplotypes of both genes were separately estimated. Then, rapid genotyping methods for 7 and 6 SNPs tagging common haplotypes of GSTA1 and GSTA2, respectively, were developed using the single-base extension assay, and an additional 107 patients were genotyped. Finally, haplotype combinations of both genes were classified into 3 major types: GSTA1*A-GSTA2*C, GSTA1*A-GSTA2*B, and GSTA1*B-GSTA2*E. These findings will be useful in pharmacogenomic studies on xenobiotics including anticancer drugs.

[Exploratory study on biomarkers associated with severe cutaneous adverse reactions].

Most of adverse drug reactions (ADRs) occur as an extension of pharmacological effects. They occur dependently on their blood concentrations and can be potentially reduced by controlling their dose. On the other hand, ADRs categorized as Type B usually occur irrelevantly to their pharmacological effects at different organs from their target, and are often life-threatening and unpredictable. The incidences of Type B ADRs are very low. Severe cutaneous adverse reactions including Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are delayed allergic reactions in which T-cells are involved and categorized as Type B ADRs. Recent progress of pharmacogenomic studies has revealed that particular types of human leukocyte antigen (HLA) class I antigens have strong associations with severe cutaneous adverse reactions and that the associations are specific to causative drugs, phenotypes of adverse reactions and ethnic groups. We established a research group in 2006 with professionals of pharmacogenomics, dermatologists, ophthalmologists and psychiatrists to explore genetic biomarkers associated with Japanese SJS/TEN patients. To date, we have collected more than 100 Japanese SJS/TEN patients through participating institutes and a case-collecting system covering all over Japan constructed by us. No carriers of HLA-B*1502 which was reported to have extremely strong association with carbamazepine-induced SJS/TEN in Han Chinese and south Asians, although a moderate association between allopurinol-induced SJS/TEN and HLA-B*5801 detected in Han Chinese was observed.

[Current movements of four serious adverse events induced by medicinal drugs based on spontaneous reports in Japan].

Spontaneous reports on suspected serious adverse events caused by medicines from manufacturing/distributing pharmaceutical companies or medical institutions/pharmacies are regulated by the Pharmaceutical Affairs Law of Japan, and this system is important for post-marketing safety features. Although causal relationship between the medicine and the adverse event is not evaluated, and one incidence may be redundantly reported, this information would be useful to roughly grasp the current movements of drug-related serious adverse events, We searched open-source data of the spontaneous reports publicized by Pharmaceutical and Medical Devices Agency for 4 serious adverse events (interstitial lung disease, rhabdomyolysis, anaphylaxis, and Stevens-Johnson syndrome/toxic epidermal necrolysis) from 2004 to 2010 fiscal year (for 2010, from April 1 st to January 31th). Major drug-classes suspected to the adverse events were antineoplastics for interstitial lung disease, hyperlipidemia agents and psychotropics for rhabdomyolysis, antibiotics/chemotherapeutics, antineoplastics and intracorporeal diagnostic agents for anaphylaxis (anaphylactic shock, anaphylactic reactions, anaphylactoid shock and anaphylactoid reactions), and antibiotics/chemotherapeutics, antipyretics and analgesics, anti-inflammatory agents/common cold drugs, and antiepileptics for Stevens-Johnson syndrome/toxic epidermal necrolysis. These results would help understanding of current situations of the 4 drug-related serious adverse events in Japan.

Association of carboxylesterase 1A genotypes with irinotecan pharmacokinetics in Japanese cancer patients.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT * Association of UDP-glucuronosyltransferase 1A1 (UGT1A1) genetic polymorphisms *6 and *28 with reduced clearance of SN-38 and severe neutropenia in irinotecan therapy was demonstrated in Japanese cancer patients. * The detailed gene structure of CES1 has been characterized. * Possible functional SNPs in the promoter region have been reported. WHAT THIS STUDY ADDS * Association of functional CES1 gene number with AUC ratio [(SN-38 + SN-38G)/irinotecan], an in vivo index of CES activity, was observed in patients with irinotecan monotherapy. * No significant effects of major CES1 SNPs on irinotecan PK were detected. AIMS Human carboxylesterase 1 (CES1) hydrolyzes irinotecan to produce an active metabolite SN-38 in the liver. The human CES1 gene family consists of two functional genes, CES1A1 (1A1) and CES1A2 (1A2), which are located tail-to-tail on chromosome 16q13-q22.1 (CES1A2-1A1). The pseudogene CES1A3 (1A3) and a chimeric CES1A1 variant (var1A1) are also found as polymorphic isoforms of 1A2 and 1A1, respectively. In this study, roles of CES1 genotypes and major SNPs in irinotecan pharmacokinetics were investigated in Japanese cancer patients. METHODS CES1A diplotypes [combinations of haplotypes A (1A3-1A1), B (1A2-1A1), C (1A3-var1A1) and D (1A2-var1A1)] and the major SNPs (-75T>G and -30G>A in 1A1, and -816A>C in 1A2 and 1A3) were determined in 177 Japanese cancer patients. Associations of CES1 genotypes, number of functional CES1 genes (1A1, 1A2 and var1A1) and major SNPs, with the AUC ratio of (SN-38 + SN-38G)/irinotecan, a parameter of in vivo CES activity, were analyzed for 58 patients treated with irinotecan monotherapy. RESULTS The median AUC ratio of patients having three or four functional CES1 genes (diplotypes A/B, A/D or B/C, C/D, B/B and B/D; n= 35) was 1.24-fold of that in patients with two functional CES1 genes (diplotypes A/A, A/C and C/C; n= 23) [median (25th-75th percentiles): 0.31 (0.25-0.38) vs. 0.25 (0.20-0.32), P= 0.0134]. No significant effects of var1A1 and the major SNPs examined were observed. CONCLUSION This study suggests a gene-dose effect of functional CES1A genes on SN-38 formation in irinotecan-treated Japanese cancer patients.

Population pharmacokinetics of gemcitabine and its metabolite in Japanese cancer patients: impact of genetic polymorphisms.

BACKGROUND AND OBJECTIVE: Gemcitabine (2',2'-difluorodeoxycytidine) is an anticancer drug, which is effective against solid tumours, including non-small-cell lung cancer and pancreatic cancer. After gemcitabine is transported into cells by equilibrative and concentrative nucleoside transporters, it is phosphorylated by deoxycytidine kinase (DCK) and further phosphorylated to its active diphosphorylated and triphosphorylated forms. Gemcitabine is rapidly metabolized by cytidine deaminase (CDA) to an inactive metabolite, 2',2'-difluorodeoxyuridine (dFdU), which is excreted into the urine. Toxicities of gemcitabine are generally mild, but unpredictable severe toxicities such as myelosuppression and interstitial pneumonia are occasionally encountered. The aim of this study was to determine the factors, including genetic polymorphisms of CDA, DCK and solute carrier family 29A1 (SLC29A1 [hENT1]), that alter the pharmacokinetics of gemcitabine in Japanese cancer patients. PATIENTS AND METHODS: 250 Japanese cancer patients who received 30-minute intravenous infusions of gemcitabine at 800 or 1000 mg/m2 in the period between September 2002 and July 2004 were recruited for this study. However, four patients were excluded from the final model built in this study because they showed bimodal concentration-time curves. Two patients who experienced gemcitabine-derived life-threatening toxicities in October 2006 and January 2008 were added to this analysis. One of these patients received 30-minute intravenous infusions of gemcitabine at 454 mg/m2 instead of the usual dose (1000 mg/m2). Plasma concentrations of gemcitabine and dFdU were measured by high-performance liquid chromatography-photodiode array/mass spectrometry. In total, 1973 and 1975 plasma concentrations of gemcitabine and dFdU, respectively, were used to build population pharmacokinetic models using nonlinear mixed-effects modelling software (NONMEM version V level 1.1). RESULTS AND DISCUSSION: Two-compartment models fitted well to plasma concentration-time curves for both gemcitabine and dFdU. Major contributing factors for gemcitabine clearance were genetic polymorphisms of CDA, including homozygous CDA*3 [208G>A (Ala70Thr)] (64% decrease), heterozygous *3 (17% decrease) and CDA -31delC (an approximate 7% increase per deletion), which has a strong association with CDA*2 [79A>C (Lys27Gln)], and coadministered S-1, an oral, multicomponent anti-cancer drug mixture consisting of tegafur, gimeracil and oteracil (an approximate 19% increase). The estimated contribution of homozygous CDA*3 to gemcitabine clearance provides an explanation for the life-threatening severe adverse reactions, including grade 4 neutropenia observed in three Japanese patients with homozygous CDA*3. Genetic polymorphisms of DCK and SLC29A1 (hENT1) had no significant correlation with gemcitabine pharmacokinetic parameters. Aging and increased serum creatinine levels correlated with decreased dFdU clearance. CONCLUSION: A population pharmacokinetic model that included CDA genotypes as a covariate for gemcitabine and dFdU in Japanese cancer patients was successfully constructed. The model confirms the clinical importance of the CDA*3 genotype.

Survival prediction for pancreatic cancer patients receiving gemcitabine treatment.

Although gemcitabine monotherapy is the standard treatment for advanced pancreatic cancer, patient outcome varies significantly, and a considerable number do not benefit adequately. We therefore searched for new biomarkers predictive of overall patient survival. Using LC-MS, we compared the base-line plasma proteome between 29 representative patients with advanced pancreatic cancer who died within 100 days and 31 patients who survived for more than 400 days after receiving at least two cycles of the same gemcitabine monotherapy. Identified biomarker candidates were then challenged in a larger cohort of 304 patients treated with the same protocol using reverse-phase protein microarray. Among a total of 45,277 peptide peaks, we identified 637 peaks whose intensities differed significantly between the two groups (p < 0.001, Welch's t test). Two MS peaks with the highest statistical significance (p = 2.6 x 10(-4) and p = 5.0 x 10(-4)) were revealed to be derived from alpha(1)-antitrypsin and alpha(1)-antichymotrypsin, respectively. The levels of alpha(1)-antitrypsin (p = 8.9 x 10(-8)) and alpha(1)-antichymotrypsin (p = 0.001) were significantly correlated with the overall survival of the 304 patients. We selected alpha(1)-antitrypsin (p = 0.0001), leukocyte count (p = 0.066), alkaline phosphatase (p = 8.3 x 10(-8)), and performance status (p = 0.003) using multivariate Cox regression analysis and constructed a scoring system (nomogram) that was able to identify a group of high risk patients having a short median survival time of 150 days (95% confidence interval, 123-187 days; p = 2.0 x 10(-15), log rank test). The accuracy of this model for prognostication was internally validated and showed good calibration and discrimination with a bootstrap-corrected concordance index of 0.672. In conclusion, an increased level of alpha(1)-antitrypsin is a biomarker that predicts short overall survival of patients with advanced pancreatic cancer receiving gemcitabine monotherapy. Although an external validation study will be necessary, the current model may be useful for identifying patients unsuitable for the standardized therapy.

Additive effects of drug transporter genetic polymorphisms on irinotecan pharmacokinetics/pharmacodynamics in Japanese cancer patients.

PURPOSE: Effects of genetic polymorphisms/variations of ABCB1, ABCC2, ABCG2 and SLCO1B1 in addition to "UGT1A1*28 or *6" on irinotecan pharmacokinetics/pharmacodynamics in Japanese cancer patients were investigated. METHODS: Associations between transporter haplotypes/variations along with UGT1A1*28 or *6 and SN-38 area under the time-concentration curve (AUC) or neutropenia were examined in irinotecan monotherapy (55 patients) and irinotecan-cisplatin-combination therapy (62 patients). RESULTS: Higher SN-38 AUC values were observed in ABCB1 2677G>T (A893S) (*2 group) for both regimens. Associations of grade 3/4 neutropenia were observed with ABCC2 -1774delG (*1A), ABCG2 421C>A (Q141K) and IVS12 + 49G>T ((#) IIB) and SLCO1B1 521T>C (V174A) (*15 x 17) in the irinotecan monotherapy, while they were evident only in homozygotes of ABCB1*2, ABCG2 (#) IIB, SLCO1B1*15 x 17 in the cisplatin-combination therapy. With combinations of haplotypes/variations of two or more genes, neutropenia incidence increased, but their prediction power for grade 3/4 neutropenia is still unsatisfactory. CONCLUSIONS: Certain transporter genotypes additively increased irinotecan-induced neutropenia, but their clinical importance should be further elucidated.

Identification of a predictive biomarker for hematologic toxicities of gemcitabine.

PURPOSE: Gemcitabine monotherapy is the current standard for patients with advanced pancreatic cancer, but the occurrence of severe neutropenia and thrombocytopenia can sometimes be life threatening. This study aimed to discover a new diagnostic method for predicting the hematologic toxicities of gemcitabine. PATIENTS AND METHODS: Using quantitative mass spectrometry (MS), we compared the baseline plasma proteomes of 25 patients who had developed severe hematologic adverse events (grade 3 to 4 neutropenia and/or grade 2 to 4 thrombocytopenia) within the first two cycles of gemcitabine with those of 22 patients who had not (grade 0). RESULTS: We identified 757 peptide peaks whose intensities were significantly different (P < .001, Welch t test) among a total of 60,888. The MS peak with the highest statistical significance (P = .0000282) was revealed to be derived from haptoglobin by tandem MS. A scoring system (nomogram) based on the values of haptoglobin, haptoglobin phenotype, neutrophil count, platelet count, and body-surface area was constructed to estimate the risk of hematologic adverse events (grade 3 to 4 neutropenia and/or grade 2 to 4 thrombocytopenia) with an area under curve value of 0.782 in a cohort of 166 patients with pancreatic cancer. Predictive ability of the system was confirmed in two independent validation cohorts consisting of 87 and 52 patients with area under the curve values of 0.655 and 0.747, respectively. CONCLUSION: Although the precise mechanism responsible for the correlation of haptoglobin with the future onset of hematologic toxicities remains to be clarified, our prediction model seems to have high practical utility for tailoring the treatment of patients receiving gemcitabine.

Genetic variations and haplotype structures of the glutathione S-transferase genes, GSTT1 and GSTM1, in a Japanese patient population.

Glutathione S-transferases (GSTs) play a vital role in phase II biotransformation of many synthetic chemicals including anticancer drugs. Deletion polymorphisms in GSTT1 and GSTM1 are reportedly associated, albeit controversial, with an increased risk in cancer as well as with altered responses to chemotherapeutic drugs. In this study, to elucidate the haplotype structures of GSTT1 and GSTM1, genetic variations were identified in 194 Japanese cancer patients who received platinum-based chemotherapy. Homozygotes for deletion of GSTT1 (GSTT1(*)0/(*)0 or null) and GSTM1 (GSTM1(*)0/(*)0 or null) were found in 47.4% and 47.9% of the patients, respectively, while 23.2% of the patients had both GSTT1 null and GSTM1 null genotypes. From homozygous (+/+) and heterozygous ((*)0/+) patients bearing GSTT1 and GSTM1 genes, six single nucleotide polymorphisms (SNPs) for GSTT1 and 23 SNPs for GSTM1 were identified. A novel SNP in GSTT1, 226C>A (Arg76Ser), and the known SNP in GSTM1, 519C>G (Asn173Lys, (*)B), were found at frequencies of 0.003 and 0.077, respectively. Using the detected variations, GSTT1 and GSTM1 haplotypes were identified/inferred. Three and six common haplotypes (N> or =10) in GSTT1 and GSTM1, respectively, accounted for most (>95%) inferred haplotypes. This information would be useful in pharmacogenomic studies of xenobiotics including anticancer drugs.

Ethnic differences of two non-synonymous single nucleotide polymorphisms in CDA gene.

Cytidine deaminase, encoded by the CDA gene, catalyzes anti-cancer drugs gemcitabine and ara-C into their respective inactive metabolites. In CDA, two functionally significant non-synonymous polymorphisms, 79A>C (Lys27Gln) and 208G>A (Ala70Thr), have been found and their minor allele frequencies (MAFs) were reported in Japanese and Chinese patients and a relatively small numbers of healthy volunteers in Caucasians and Africans. In this study, we determined the MAFs of both polymorphisms in 200 healthy volunteers of Koreans, along with 206 Japanese, 200 Chinese-Americans, 150 Caucasian-Americans and 150 African-Americans to reveal ethnic differences. MAFs of 79A>C (Lys27Gln) were 0.153 in Koreans and 0.327 in Caucasian-Americans, 0.204 in Japanese, 0.155 in Chinese-Americans and 0.087 in African-Americans. MAFs of 208G>A (Ala70Thr) were 0.005 in Koreans and 0.022 in Japanese and the minor allele was not detected in Chinese-Americans, Caucasian-Americans or African-Americans. Thus possibly, MAF of 208G>A in Japanese is likely to be somewhat higher than in Koreans and Chinese-Americans. These data would provide fundamental and useful information for pharmacogenetic studies on cytidine deaminase-catalyzing drugs.