Literature DB >> 25410489

ABCB1 polymorphism as prognostic factor in breast cancer patients treated with docetaxel and doxorubicin neoadjuvant chemotherapy.

Hee-Jun Kim1, Seock-Ah Im, Bhumsuk Keam, Hye Seon Ham, Kyung Hun Lee, Tae Yong Kim, Yu Jung Kim, Do-Youn Oh, Jee Hyun Kim, Wonshik Han, In-Jin Jang, Tae-You Kim, In Ae Park, Dong Young Noh.   

Abstract

Expression of the adenosine triphosphate-binding cassette B1 (ABCB1) transporter and P-glycoprotein are associated with resistance to anticancer drugs. The purpose of this study was to investigate the role of single nucleotide polymorphism in the ABCB1 and CYP3A genes in breast cancer patients who were treated with neoadjuvant chemotherapy. Stage II/III breast cancer patients were treated with three cycles of neoadjuvant, after which the patients received curative surgery and adjuvant chemotherapy. The polymorphisms of ABCB1 and CYP3A were genotyped. The correlation of polymorphism of ABCB1, CYP3A, and clinical outcomes was analyzed. Among the 216 patients, ABCB1 3435TT genotype had a longer overall survival (OS). than CC/CT. Multivariate analyses demonstrated that good PS, invasive ductal carcinoma, non-triple negative phenotype and initial operable stage were significantly associated with a lower death risk. ABCB1 3435TT genotype had a higher AUC than CC/CT for docetaxel. These higher AUCs in the C3435TT was associated with increased toxicities of neutropenia and diarrhea. This study showed that the genetic polymorphism of ABCB1 C3435T might be associated with a longer OS. Our results also suggest that the prediction of docetaxel toxicity might be possible for C3435T polymorphism. This study results provides valuable information on individualized therapy according to genotypes.
© 2014 The Authors. Cancer Science published by Wiley Publishing Asia Pty Ltd on behalf of Japanese Cancer Association.

Entities:  

Keywords:  ABCB1 Gene; C3435T; breast cancer; neoadjuvant chemotherapy; single nucleotide polymorphism

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Substances:

Year:  2014        PMID: 25410489      PMCID: PMC4317776          DOI: 10.1111/cas.12560

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


Randomized trials have proven the safety of neoadjuvant chemotherapy with comparable efficacy to adjuvant chemotherapy.1,2 These studies provide the theoretical roles supporting neoadjuvant chemotherapy. First of all, “downstaging” of the tumor from inoperable to operable stage in select patients may allow a substantial proportion of women to benefit from conservative surgery instead of having to resort to more radical approaches.3 Second, post-surgical treatment strategy could be optimized based on the previous tumor response during neoadjuvant chemotherapy. Last but not least, a subset of patients could achieve pathologic complete remission (pCR) from neoadjuvant therapy, which has been shown to be associated with a good prognosis.4,5 As neoadjuvant chemotherapy is becoming increasingly more important in clinical practice, a disputed issue is the development of resistance to the cytotoxic agents as well as cross-resistance to substances patients have never been exposed to before. Inter-individual variability of pharmacokinetics of anti-cancer drugs constitutes a major limitation to their clinical use. Since a variety of commonly used chemotherapeutic agents such as docetaxel and doxorubicin have narrow therapeutic indices and significant inter-individual variations in drug disposition, great efforts have been put in determining the mechanism of person-to-person pharmacokinetic diversities. Single nucleotide polymorphisms (SNPs) in adenosine triphosphate-binding cassette B1 (ABCB1) and cytochrome P450 (CYP) genes are among potential candidates that explain the inter-individual variations in drug disposition. SNPs in ABCB1 gene are associated with phenotypic variation in P-glycoproteins (P-gp), a membrane-bound efflux pump, which removes chemotherapeutic drugs including docetaxel and doxorubicin from the cells. The intestinal P-gp plays a main role in the fecal elimination of drugs by modulating reabsorption of the drug after hepatobiliary secretion.6 The percentage of tumors expressing P-gp in breast cancer was 41.2% and the expression rate of P-gp increased after treatment which was three times more likely to fail in chemotherapy.7 Recently, SNPs of the ABCB1 gene have been reported to be associated with taxane clearance and the clinical outcome of patients who were treated with taxane.8,9 Doxorubicin was also shown to be functionally affected by SNPs of ABCB1 with regards to the pharmacokinetics.10,11 It has been shown that ABCB1 C3435T polymorphism in exon 26 is significantly related to clinical toxicity and high blood levels of docetaxel.12 ABCB1 G2677T/A polymorphism in exon 21 are associated with treatment outcomes after paclitaxel monotherapy.11 ABCB1 C1236T polymorphism in exon 12 is associated with docetaxel clearance.8,9 Most chemotherapeutic agents are eliminated via hepatic metabolism, which is mediated by cytochrome P450 (CYP), mainly CYP 3A4 and CYP3A5.13 Metabolism of docetaxel consists of CYP3A-mediated oxidation of the tert-butyl propionate side chain, which results in the formation of four metabolites with reduced cytotoxic activity.14 CYP3A4*1B and CYP3A5*3 are common polymorphisms, which have been shown to have clinical implications in some studies.14,15 CYP3A4*1B, an A-392G transition in the 5′-flanking region, is a promoter polymorphism. While the polymorphism is commonly found in the African-American population,14 its minor allele frequency is estimated 0% in Chinese, Taiwanese, Chinese Americans, and Japanese Americans.16,17 On the other hand, the CYP3A5*3 splice site variant that causes loss of hepatic expression of CYP3A5 is common, but does not account for inter-individual variability of docetaxel disposition in Asian populations.18,19 P-gp may affect the extent of CYP3A-mediated metabolism of drugs by limiting the intracellular substrate availability.20 This study hypothesized from the above findings that a genetic variant of ABCB1 and CYP3A5 contributes to the pharmacokinetic variability of docetaxel and doxorubicin. This study investigated the distribution of SNPs in ABCB1 and CYP3A genes in breast cancer patients who were treated with neoadjuvant docetaxel and doxorubicin chemotherapy. The correlation between the genetic polymorphism, plasma concentration of chemotherapeutic agents and clinical outcomes was also explored.

Materials and Methods

Patients and study design

From September 2003 to September 2008, pathologically proven, previously untreated, clinical stage II or III breast cancer patients were enrolled in this prospective study. Patients had to have an Eastern Cooperative Oncology Group (ECOG) performance status (PS) of 0–2, objective measurable disease, and adequate bone marrow, hepatic, cardiac, and renal functions. Initial evaluations included physical examination, mammography, breast ultrasonography, computed tomography (CT) of the chest, bone scan, and breast magnetic resonance imaging (MRI). Initial nodal staging was evaluated by the physical examination and CT. All patients were treated with three cycles of neoadjuvant chemotherapy which consisted of docetaxel (75 mg/m2) and doxorubicin (60 mg/m2) by intravenous infusion.21 Granulocyte colony-stimulating factor as primary prophylaxis was injected for 5 days every cycle. After completion of neoadjuvant treatment, the patients were re-evaluated for the response. After the primary surgery, patients were treated with three more cycles of docetaxel and doxorubicin as the adjuvant chemotherapy.21,22 Adequate radiation or hormonal therapy was performed as indicated.23,24 The radiological response was evaluated using breast MRI for the primary breast lesion and chest CT for the lymph node lesions with RECIST criteria 1.0.25 Pathologic complete response (pCR) was defined as complete disappearance of invasive carcinoma in both breast and axillary lymph nodes after three cycles of chemotherapy. For estrogen receptor (ER) and progesterone receptor (PR), cases with 10% or more positive staining were grouped as positive. Human epidermal growth factor receptor-2 (HER2) overexpression was demonstrated by immunohistochemistry scoring or fluorescence in situ hybridization (FISH) in paraffin sections of their primary carcinomas. Immunohistochemistry scores of only 3+ on a scale of 0 to 3+ or FISH positivity were defined as overexpression of HER2. Triple negative breast cancer was defined as the characteristics of the lack of expression of ER and PR and the absence of HER2 overexpression. Recurrence free survival (RFS) was calculated as the time from the first cycle of chemotherapy to the diagnosis of a recurrent disease in the ipsilateral breast, local, regional, or distant site, and the overall survival (OS) was the time from the first cycle of chemotherapy to death or last follow-up day. Adverse events were assessed in all patients with version 3.0 of the National Cancer Institute's Common Terminology Criteria for Adverse Events. The study protocol was approved by the Institutional Review Board of Seoul National University Hospital (IRB Registration No. H-0510-506-159, H-0610-020-186). This manuscript is a part of a clinical trial (ClinicalTrials.gov Identifier: NCT01396655).

Analysis of ABCB1 and CYP3A genomic polymorphism

Whole blood samples were obtained before the neoadjuvant chemotherapy. Genomic DNA was isolated from mononuclear cells of peripheral blood cells using QiaAmp blood mini kit (Qiagen, Hilden, Germany). ABCB1 C3435T,26,27 G2677T/A11,27 and C1236T28 polymorphisms were genotyped by polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) assays as previously described.29 CYP3A4*1B and CYP3A5*3 polymorphisms were done by the GoldenGate assay (Illumina, San Diego, CA, USA) that consisted of 96 custom selected SNPs within 34 genes. The dissolved biotinylated DNA pellet was extended and ligated. The supernatant was then used in PCR amplification. Double-stranded PCR products were immobilized onto paramagnetic particles, B Reagent (Illumina). The bound PCR products were denatured and the released ssDNAs were tralized with hybridization reagent (Illumina). Hybridization was done and then imaged using a BeadArray Reader (Illumina).

Pharmacokinetic studies

Seventy-two out of 216 patients participated in the prospective pharmacokinetic study of docetaxel and doxorubicin. These patients were grouped as the pharmacokinetic (PK) study group. Pharmacokinetic samplings were done at three time points. The plasma concentrations of docetaxel and doxorubicin at pre-concentration (just before infusion), post-concentration (just after infusion), and 24 h-concentration after infusion were determined by liquid chromatography tandem mass (LC/MS/MS) assays. Mass spectrometric analysis was done using an API 3000 MS system (Applied Biosystems, Foster City, CA, USA). All plasma samples were subjected to the sample preparation procedure described previously.30 With the above three blood samples, a graph was plotted of the sampling point as the x-axis against the drug concentration as the y-axis and was able to draw a diagram corresponding to the area under the plasma concentration (AUC) until 24 h after drug infusion. Based on this diagram, the drug concentration was calculated and was defined as the AUC in this study. The AUC of docetaxel and doxorubicin were dictated as AUCdoc, and AUCdox, respectively. The differences between the AUCs were examined until the 24 h-concentration after infusion, according to the genotypes of ABCB1 and CYP3A5.

Statistical analysis

This is a project of a phase II trial. The primary endpoint in this study was pCR. Secondary end points included rate of breast conserving operation, toxicity, relapse-free survival, overall survival and predictive/prognostic factors. The association between the allelic frequency of ABCB1 and clinical outcomes was assessed by the χ2 test or Fisher's exact test. The RFS and OS were estimated by the Kaplan–Meier method, and the difference in survival was compared using the log-rank test. Cox regression model was used to compare the clinical outcomes among the genotypes of the ABCB1 gene and CYP3A5. The crude hazard ratio (HR) of clinical events and the corresponding 95% confidence intervals (CI) were estimated. For genotype-pharmacokinetic study, Mann–Whitney test or Kruskal–Wallis test was done to compare the AUCs between post-concentration (just after infusion) and 24 h-concentration after infusion in the plasma concentrations according to the genotypes. Odds ratios and their respective 95% confidence intervals were used to show the relationship of the toxicities and covariates including the ABCB1 gene. SPSS program (version 12.0, Chicago, IL, USA) was used for all analyses, and two-sided P-value <0.05 was considered statistically significant.

Results

Patients and treatment outcomes

A total of 216 breast cancer patients were enrolled. The median follow-up duration was 85.4 months (range 26.2–117.8 months) and 75 patients (34.7%) experienced relapse and 43 patients (19.9%) died. Baseline characteristics of the study population are presented in Table1. The median age of the study population was 44 years (range 25–69 years). ABCB1 C3435T and ABCB1 C1236T were divided into two groups as the CC/CT vs. TT genotype and the ABCB1 G2677T/A was grouped into the GG vs. Non-GG group.
Table 1

Baseline characteristics

CharacteristicsTotal population (n = 216) (%)Pharmacokinetic subgroup (n = 72) (%)
Age, (years)
 Age <3525 (11.6)4 (5.6)
 Age ≥35191 (88.4)68 (94.4)
Performance status
 ECOG 0–1213 (98.6)70 (97.2)
 ECOG 23 (1.4)2 (2.8)
Pathologic characteristics
 Invasive ductal carcinoma206 (95.4)69 (95.9)
Others*10 (4.6)3 (4.1)
Initial clinical stage
 Operable(IIA, IIB, IIIA)155 (71.8)53 (73.6)
 Inoperable (IIIB, IIIC)61 (28.2)19 (26.4)
Receptor status
 ER
 Positive99 (45.8)30 (41.7)
 Negative117 (54.2)42 (58.3)
 PR
 Positive73 (33.8)23 (31.9)
 Negative143 (66.2)49 (68.1)
HER2
 Positive67 (31.0)20 (27.8)
 Negative149 (69.0)52 (72.2)
Triple negative phenotype
 Non triple negative148 (68.5)49 (68.1)
 Triple negative68 (31.5)23 (31.9)
ABCB1 C3435T
 CC + CT185 (85.6)65 (90.3)
 TT31 (14.4)7 (9.7)
ABCB1 G2677T/A
 GG38 (17.6)13 (18.1)
 Non-GG178 (82.4)59 (81.9)
ABCB1 C1236T
 CC + CT136 (63.0)48 (66.7)
 TT80 (37.0)24 (33.3)
CYP3A5*3
 AA3 (4.2)
 AG29 (40.3)
 GG40 (55.5)
Type of surgery
 Breast conserving87 (40.3)25 (34.7)
 Mastectomy129 (59.7)47 (65.3)
Menopausal status
 Pre-menopause146 (67.6)50 (69.4)
 Post-menopause70 (32.4)22 (30.6)

ECOG, Eastern Cooperative Oncology Group; ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor.

Among the 10 patients, 7 had invasive lobular carcinomas, 3 medullary carcinomas and 1 tubular carcinoma.

Baseline characteristics ECOG, Eastern Cooperative Oncology Group; ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor. Among the 10 patients, 7 had invasive lobular carcinomas, 3 medullary carcinomas and 1 tubular carcinoma. Pharmacokinetic analysis was done in 72 patients. Baseline characteristics of these patients did not differ greatly from those of the total patient group.

Association between genotypes and treatment outcomes

Frequency of ABCB1 and CYP3A genotypes

The frequency of ABCB1 3435TT genotype was 14.4% in total 216 patients and 9.7% in the PK group of 72 patients. In PK group, the AA genotype of CYP3A4 was 100% and the AA genotype of CYP3A5 had the lowest percentage, 4.2%. The proportion of each genotype was maintained similarly in 72 PK group patients. Each observed genotype distribution of ABCB1 genes conformed to Hardy–Weinberg equilibrium (each P > 0.050). Linkage disequilibrium for all pairs of exons 26, 21, and 12 were observed by use of the PL-EM algorithm (P < 0.001).

Analysis of clinical outcomes of the total patients

The overall clinical response rate (RR) was 76.8%. Twenty patients (9.3%) achieved clinical complete response (cCR) and 18 (8.3%) achieved pCR. Among the PK group, RR was 82.0% with 4.2% of pCR. ABCB1 C3435T, G2677T/A, and C1236T SNPs did not predict the responders. As shown in Figure1, ABCB1 3435TT genotype had a longer OS than the CT/TT genotype with statistical significance (P = 0.024). A similar trend was observed for the RFS, that is, ABCB1 3435TT genotype tended to have a longer RFS although it was not statistically significant (P = 0.234). ABCB1 G2677T/A and C1236T were analyzed, and there were no significant differences in the RFS and OS (Fig. S1).
Figure 1

Overall survival (OS) according to ABCB1 C3435T polymorphism. ABCB1 C3435T TT genotype had longer OS compared to the others (P = 0.024).

Overall survival (OS) according to ABCB1 C3435T polymorphism. ABCB1 C3435T TT genotype had longer OS compared to the others (P = 0.024). With univariate analysis of the OS, good PS (ECOG 0-1), invasive ductal carcinoma, initial operable stage, ER-positivity, non-triple negative phenotype, breast conserving surgery and the TT genotype of ABCB1 C3435T were associated with a lower risk of death (Table2). Multivariate analyses of the OS demonstrated that poor PS (HR 9.526, 95% CI = 2.587–20.493; P = 0.003), triple negative phenotype (HR 2.106, 95% CI = 1.145–3.874; P = 0.017), other histologic type (HR 3.547, 95% CI = 1.205–10.444; P = 0.022), initial locally advanced clinical stage (HR 2.406, CI = 1.270–4.555; P = 0.003) and non-pathologic complete remission (HR 8.204, 95% CI = 1.810–22.112; P = 0.047) were significantly associated with the OS (Table3). The ABCB1 3435TT genotype was also associated with a lower risk of death with marginal significance not shown to be an independent prognostic factor (HR 0.245, 95% CI = 0.059–1.026; P = 0.054). The result was similar when breast cancer staging was adjusted instead of operable staging (HR 0.238; 95% CI, 0.057–0.999; P = 0.050).
Table 2

Univariate analysis for overall survival (OS)

CharacteristicsPatient Number (n = 216) (%)Median OS Hazard ratio95% CIP-value
Age, (years)
 Age <3525 (11.6)10.898
 Age ≥35191 (88.4)1.0630.419–2.696
Performance status
 ECOG 0–1213 (98.6)10.048
 ECOG 23 (1.4)3.7540.904–12.588
Pathologic characteristics
 Invasive ductal carcinoma206 (95.4)10.008
Others*10 (4.6)3.6841.312–10.341
Initial clinical stage
 Operable (IIA, IIB, IIIA)155 (71.8)10.030
 Inoperable (IIIB, IIIC)61 (28.2)2.2831.074–4.242
Receptor status
ER
  Positive99 (45.8)10.049
  Negative117 (54.2)2.0810.996–3.189
PR
  Positive73 (33.8)10.258
  Negative143 (66.2)1.5420.754–2.832
HER2
 Positive67 (31.0)10.730
 Negative149 (69.0)1.1170.697–2.177
Triple negative phenotype
 Non triple negative148 (68.5)10.033
 Triple negative68 (31.5)1.9951.004–3.447
ABCB1 C3435T
 CC + CT185 (85.6)10.024
 TT31 (14.4)0.2230.054–0.972
ABCB1 G2677T/A
 GG38 (17.6)10.566
 Non-GG178 (82.4)1.1680.543–2.510
ABCB1 C1236T
 CC + CT136 (63.0)10.126
 TT80 (37.0)0.6880.335–1.256
Type of surgery
 Breast conserving87 (40.3)10.036
 Mastectomy129 (59.7)2.0831.074–4.022
Menopausal status
 Pre-menopause146 (67.6)10.244
 Post-menopause70 (32.4)1.3230.724–2.419

ECOG, Eastern Cooperative Oncology Group; ER, estrogen receptor; HER2, human epidermal growth factor receptor; PR, progesterone receptor.

Hazard ratio was calculated by Cox's proportional hazard model. If the hazard ratio is >1, the hazard ratio can be thought of as the average increased risk of death compared with the reference group (upper line).

Among the 10 patients, 7 had invasive lobular carcinomas, 3 medullary carcinomas and 1 tubular carcinoma.

Table 3

Multivariate analysis for overall survival

CharacteristicsCategoryHazard ratio95% CIP-value
ECOG0–11
29.5262.587–20.4930.003
HistologyInvasive ductal carcinoma1
Others*3.5471.205–10.4440.022
Triple negativeNon-triple negative1
PhenotypeTriple negative2.1061.145–3.8740.017
Initial stageStage I-IIIA1
Stage IIIB-IIIC2.4061.270–4.5550.007
PathologicpCR1
ResponseNon-pCR8.2041.810–19.1120.047
ABCB1 C3435TCC + CT1
TT0.2450.059–1.0260.054

Eastern Cooperative Oncology Group.

Hazard ratio was calculated by Cox's proportional hazard model. If the hazard ratio is >1, the hazard ratio can be thought of as the average increased risk of death compared with the reference group (upper line).

According to the TNM classification of 2002 AJCC staging.

Among the 10 patients, 7 had invasive lobular carcinomas, 3 medullary carcinomas and 1 tubular carcinoma.

Univariate analysis for overall survival (OS) ECOG, Eastern Cooperative Oncology Group; ER, estrogen receptor; HER2, human epidermal growth factor receptor; PR, progesterone receptor. Hazard ratio was calculated by Cox's proportional hazard model. If the hazard ratio is >1, the hazard ratio can be thought of as the average increased risk of death compared with the reference group (upper line). Among the 10 patients, 7 had invasive lobular carcinomas, 3 medullary carcinomas and 1 tubular carcinoma. Multivariate analysis for overall survival Eastern Cooperative Oncology Group. Hazard ratio was calculated by Cox's proportional hazard model. If the hazard ratio is >1, the hazard ratio can be thought of as the average increased risk of death compared with the reference group (upper line). According to the TNM classification of 2002 AJCC staging. Among the 10 patients, 7 had invasive lobular carcinomas, 3 medullary carcinomas and 1 tubular carcinoma.

Toxicities

Toxicities according to the NCI-CTC version 3.0 are summarized in Table4. One hundred seventeen patients (54.2%) of the studied patients suffered one or more adverse event of any grade. Overall, Grade 3–4 toxicities were observed in 34 patients (15.7%). Grade 3–4 neutropenia developed in 21 patients (9.6%) with 9 (4.2%) febrile episodes, as grade 3–4 diarrhea did in 12 patients (5.6%). No treatment-related mortality was encountered in the study. TT genotype of ABCB1 C3435T was associated with higher frequency of grade 3–4 hematologic and non-hematologic toxicities including neutropenia (P = 0.037) and diarrhea (P = 0.017) compared with CC/CT genotype (Table5).
Table 4

Toxicities in total patients (n = 216)

Grade 1 (%)Grade 2 (%)Grade 3 (%)Grade 4 (%)
 Neutropenia16 (7.4)13 (6.0)14 (6.4)7 (3.2)
 Thrombocytopenia11 (5.1)5 (2.3)
 Febrile neutropenia9 (4.2)
 Nausea28 (13.0)13 (6.0)3 (1.4)
 Vomiting20 (9.3)15 (6.9)
 Stomatitis16 (7.4).6 (2.8)3 (1.4)
 Diarrhea14 (6.5)9 (4.2)12 (5.6)
 Neuropathy22 (10.1)7 (3.2)

Toxicity was evaluated by CTCAE ver. 3. CI, confidence interval; HR, hazard ratio; IDC, invasive ductal carcinoma; OS, overall survival.

Table 5

Toxicities according to the polymorphism of ABCB1 gene

SNPsNeutropenia
Febrile neutropenia
Nausea
Stomatitis
Diarrhea
%RR (95% CI)P%RR (95% CI)P%RR (95% CI)P%RR (95% CI)P%RR (95% CI)P
C3435T
 CC + CT7.010.0373.210.1231.610.2151.63.810.017
 TT19.44.6 (1.3–11.6)9.73.2 (0.7–17.7)6.53.6 (0.5–21.0)0.016.13.3 (1.3–15.1)
G2677T/A
 GG6.710.2013.210.2092.810.1211.610.1145.110.115
 Non-GG11.22.1 (1.6–14.9)8.83.0 (1.2–14.5)5.51.8 (0.4–11.4)4.42.8 (1.3–17.4)8.63.3 (1.3–17.5)
C1236T
 CC + CT8.810.8773.710.6611.510.3271.24.410.367
 TT8.81.1 (0.3–3.7)5.01.4 (0.3–7.5)3.82.9 (0.3–18.6)0.07.53.2 (0.7–10.3)

Grade 3–4 Toxicities.

RR, relative risk; 95% CI, 95% confidence interval.

Toxicities in total patients (n = 216) Toxicity was evaluated by CTCAE ver. 3. CI, confidence interval; HR, hazard ratio; IDC, invasive ductal carcinoma; OS, overall survival. Toxicities according to the polymorphism of ABCB1 gene Grade 3–4 Toxicities. RR, relative risk; 95% CI, 95% confidence interval.

Pharmacokinetics and ABCB1and CYP3A5 genotypes

The ABCB1 3435TT genotype showed a higher AUCdoc than the CC/CT genotype with statistical significance (P = 0.031) (Fig.2). However, the ABCB1 G2677T/A or C1236T genotypes showed no association with AUCdoc or AUCdox. Among the genotypes of CYP3A5, AA (*1/*1)/AG (*1/*3) genotypes had a higher AUC of docetaxel than the GG (*3/*3) genotype with statistical significance (P = 0.024). The ABCB1 3435TT genotype was correlated with neutropenia (P = 0.039), febrile neutropenia (P = 0.218), and diarrhea (P = 0.057). CYP3A5 polymorphism did not affect survival and toxicities.
Figure 2

ABCB1 C3435T polymorphism against plasma drug level. (a) Docetaxel concentration in plasma (P = 0.031). (b) Doxorubicin concentration in plasma (P = 0.104).

ABCB1 C3435T polymorphism against plasma drug level. (a) Docetaxel concentration in plasma (P = 0.031). (b) Doxorubicin concentration in plasma (P = 0.104).

Discussion

In recent years, various genetic variants in ABCB1 have been described to affect the transporter expression and function.31 Docetaxel and doxorubicin are subjected to transport by the ABCB1 transporter. ABCB1 3435C (glutamate) to T (glutamate) substitution does not result in an amino acid sequence change nor is this gene located in a regulatory region.8 This synonymous ABCB1 C3435T polymorphism has been associated with mRNA instability and a lower expression of P-gp in the duodenum.27 P-gp expression and ABCB1 C3435T polymorphism have been identified as an independent factor for RFS and RR for chemotherapy in breast cancer.11 Hoffmeyer et al. reported that the TT genotype of C3435T was correlated with reduced expression of P-gp and, therefore, reduced cellular elimination and maintained higher plasmaconcentrations of chemotherapeutic drugs.27,32 From these results, we hypothesize that patients who have the ABCB1 3435TT genotype might show a better treatment response to docetaxel and doxorubicin chemotherapy and get survival benefit compared to ABCB1 3435 CC/CT. This study was designed to identify the clinical impact of ABCB1 SNPs in Korean patients with breast cancer who were treated with docetaxel and doxorubicin, a regimen widely accepted as neoadjuvant chemotherapeutic agents.21 In accordance with previous studies, this study showed that the TT genotype of ABCB1 3435 was associated with a longer OS and higher plasma concentration of docetaxel than CT/TT.33,34 It also suggests that a higher plasma level of docetaxel was maintained for a longer time in the TT genotype of ABCB1 translating into more intense exposure to docetaxel. As hematopoietic stem cells and intestinal epithelial cells are reported to express P-gp,35 higher drug concentrations in homozygote 3435TT leads to more frequent grade 3–4 neutropenia, febrile neutropenia, and diarrhea. Since the number of patients in the pharmacokinetic group was small, the OS tended to be longer in the ABCB1 3435TT genotype without statistical significance. There was a trend toward a higher percentage of grade 3–4 neutropenia in the ABCB1 3435TT subjects in the PK group (28.6% versus about 3.1% for the CC/CT subjects). It provides valuable information to clinicians that the ABCB1 homozygote carriers have increased efficacy and increased toxicity simultaneously. There were no significant differences in the OS at the analyzed data of G2677T/A and C1236T. To our knowledge, this is the first study demonstrating that ABCB1 C3435T polymorphism is significantly associated with plasma docetaxel concentration and OS after neoadjuvant docetaxel/doxorubicin combination chemotherapy in Asian patients with stage II or III breast cancer. Since liver metabolism of docetaxel to inactive hydroxylated metabolites is mediated by CYP3A4 and CYP3A5,12,36 polymorphisms of such enzymes could affect the survival outcome of the treatment in breast cancer patients. Intuitively, it is reasonable to infer that the side effects of docetaxel treatment could be related to those metabolic enzymes. The most common variant, CYP3A4*1B allele founded in the African-American population, was not detected in the present study as expected based on previously published data.37 In contrast to CYP3A4*1B, the frequency of CYP3A5*3 allele was 65–85% in Asia18 and 76.8% in our study. The CYP3A5 is linked to a common transition in intron 3 of the CYP3A5 gene (CYP3A5*3) which introduces a frameshift during translation and results in a truncated, nonfunctional protein.38 At this point, homozygote (GG genotype,*3/*3) for CYP3A5*3 allele would be expected to be also strongly associated with low CYP3A5 protein content and AUC in a homozygote for the CYP3A5*3 allele which would be higher than CYP3A5*1. However, our findings show somewhat conflicting results: the homozygote of CYP3A5*3 tend to have a lower docetaxel concentration and a higher risk of grade 3 diarrhea than the CYP3A5*1/*1 genotype (P = 0.072). Concordantly, Goh et al. reported the same result that docetaxel clearance in patients with at least one CYP3A5*1 allele was significantly lower than CYP3A5*3 homozygotes.19 What causes this difference in predictions is as follows: the AA genotype (CYP3A5*1/*1) of CYP3A5 was only in three patients (4.2%) and was correlated with the TT genotype of C3435T with statistical significance. So a high docetaxel AUC revealed in the ABCB1 3435TT could be associated with the AA genotype of CYP3A5. Although CYP3A5 can account for >50% of the total CYP3A, we speculate that docetaxel metabolism was affected by the presence of the CYP3A5*3 allele to a small degree. One of the merits of this study is the homogeneity of the population who received the same neoadjuvant chemotherapy followed by surgery for stage II/III breast cancer. Second, the study was designed prospectively; pharmacogenomics samples and plasma drug concentration samples were collected at specific time points according to the written prospective protocol in the chemotherapy-naïve patients. The clinical data were gained through the same therapeutic scheme. With all of these advantages, the major limitation of this study is the relatively small sample size of the pharmacokinetic study population. However, the distribution of genotype in this study was well matched to what has been reported previously in Koreans, and in a line with those with Asian population.39 In a sense, we believe the small sample size of this study did not led to selection bias, and thus does not undermine the significance of the findings. In conclusion, this study shows that the genetic polymorphism of ABCB1 C3435T is associated with higher docetaxel concentration, a longer OS and more frequent toxicities. Our results suggest the future of guided drug selection by predicting drug toxicities according to the patient's genotype. Further prospective trials with large scale as well as in vitro and in vivo functional studies are warranted.
  39 in total

1.  A phase II study of neoadjuvant docetaxel plus doxorubicin (KBCS-01) in stage II, III breast cancer.

Authors:  Sehwan Han; Sung-Bae Kim; Sung Soo Kang; Woo-Chul Noh; Nam-Sun Paik; Eil-Sung Chang; Je-Ryong Kim; Sook-Hyun Lim; Hee-Sook Park
Journal:  Breast Cancer Res Treat       Date:  2006-06-05       Impact factor: 4.872

2.  Pharmacogenetic screening of CYP3A and ABCB1 in relation to population pharmacokinetics of docetaxel.

Authors:  Tessa M Bosch; Alwin D R Huitema; Valerie D Doodeman; Robert Jansen; Els Witteveen; Wim M Smit; Rob L Jansen; Carla M van Herpen; Marcel Soesan; Jos H Beijnen; Jan H M Schellens
Journal:  Clin Cancer Res       Date:  2006-10-01       Impact factor: 12.531

3.  Mdr1 limits CYP3A metabolism in vivo.

Authors:  L B Lan; J T Dalton; E G Schuetz
Journal:  Mol Pharmacol       Date:  2000-10       Impact factor: 4.436

4.  The genetic determinants of the CYP3A5 polymorphism.

Authors:  E Hustert; M Haberl; O Burk; R Wolbold; Y Q He; K Klein; A C Nuessler; P Neuhaus; J Klattig; R Eiselt; I Koch; A Zibat; J Brockmöller; J R Halpert; U M Zanger; L Wojnowski
Journal:  Pharmacogenetics       Date:  2001-12

5.  Multidrug resistance in breast cancer: a meta-analysis of MDR1/gp170 expression and its possible functional significance.

Authors:  B J Trock; F Leonessa; R Clarke
Journal:  J Natl Cancer Inst       Date:  1997-07-02       Impact factor: 13.506

6.  Expression and activity of P-glycoprotein, a multidrug efflux pump, in human hematopoietic stem cells.

Authors:  P M Chaudhary; I B Roninson
Journal:  Cell       Date:  1991-07-12       Impact factor: 41.582

7.  Role of human cytochrome P450 3A4 and 3A5 in the metabolism of taxotere and its derivatives: enzyme specificity, interindividual distribution and metabolic contribution in human liver.

Authors:  M Shou; M Martinet; K R Korzekwa; K W Krausz; F J Gonzalez; H V Gelboin
Journal:  Pharmacogenetics       Date:  1998-10

8.  Effects of CYP2D6 and CYP3A5 genotypes on the plasma concentrations of risperidone and 9-hydroxyrisperidone in Korean schizophrenic patients.

Authors:  Rhee-Hun Kang; Sun-Min Jung; Kyoung-Ah Kim; Duk-Ki Lee; Hyun-Kee Cho; Bong-Joo Jung; Young-Ku Kim; Seung-Hyun Kim; Changsu Han; Min-Soo Lee; Ji-Young Park
Journal:  J Clin Psychopharmacol       Date:  2009-06       Impact factor: 3.153

9.  Explaining interindividual variability of docetaxel pharmacokinetics and pharmacodynamics in Asians through phenotyping and genotyping strategies.

Authors:  Boon-Cher Goh; Soo-Chin Lee; Ling-Zhi Wang; Lu Fan; Jia-Yi Guo; Jatinder Lamba; Erin Schuetz; Robert Lim; Hong-Liang Lim; Ai-Bee Ong; How-Sung Lee
Journal:  J Clin Oncol       Date:  2002-09-01       Impact factor: 44.544

10.  Role of human MDR1 gene polymorphism in bioavailability and interaction of digoxin, a substrate of P-glycoprotein.

Authors:  Yasuo Kurata; Ichiro Ieiri; Miyuki Kimura; Toshihiro Morita; Shin Irie; Akinori Urae; Shigehiro Ohdo; Hisakazu Ohtani; Yasufumi Sawada; Shun Higuchi; Kenji Otsubo
Journal:  Clin Pharmacol Ther       Date:  2002-08       Impact factor: 6.875

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  27 in total

1.  Breast Cancer-Related Low Penetrance Genes.

Authors:  Daehee Kang; Ji-Yeob Choi
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 2.  Use of liposomal doxorubicin for adjuvant chemotherapy of breast cancer in clinical practice.

Authors:  Ming Zhao; Xian-Feng Ding; Jian-Yu Shen; Xi-Ping Zhang; Xiao-Wen Ding; Bin Xu
Journal:  J Zhejiang Univ Sci B       Date:  2017 Jan.       Impact factor: 3.066

3.  A long non-coding RNA contributes to doxorubicin resistance of osteosarcoma.

Authors:  Chun-Lin Zhang; Kun-Peng Zhu; Guo-Qi Shen; Zhong-Sheng Zhu
Journal:  Tumour Biol       Date:  2015-09-25

Review 4.  Impact of Genetic Polymorphisms of ABCB1 (MDR1, P-Glycoprotein) on Drug Disposition and Potential Clinical Implications: Update of the Literature.

Authors:  Stefan Wolking; Elke Schaeffeler; Holger Lerche; Matthias Schwab; Anne T Nies
Journal:  Clin Pharmacokinet       Date:  2015-07       Impact factor: 6.447

5.  Immunohistochemical expression of PD-L1 and MDR1 in breast tumors: association with clinico-pathological parameters and treatment outcome.

Authors:  Gisha Rose Antony; Paul Augustine; Sulfath Thottungal Parambil; Ajeesh Babu Littleflower; Jayasree Kattoor; K M Jagathnath Krishna; Lakshmi Subhadradevi
Journal:  Clin Exp Med       Date:  2022-07-09       Impact factor: 3.984

Review 6.  Pharmacogenetics of Breast Cancer Treatments: A Sub-Saharan Africa Perspective.

Authors:  Keneuoe Cecilia Nthontho; Andrew Khulekani Ndlovu; Kirthana Sharma; Ishmael Kasvosve; Daniel Louis Hertz; Giacomo Maria Paganotti
Journal:  Pharmgenomics Pers Med       Date:  2022-06-21

Review 7.  Association between PNPLA3 rs738409 polymorphisms and risk of hepatocellular carcinoma and its development in patients with cirrhosis: a meta-analysis.

Authors:  Shijie Zhang; Hexing Wu; Xiangwei Wu; Webo Lian; Yanchao Wang; Xiaozhao Zhang; Xinyu Peng
Journal:  Int J Clin Exp Med       Date:  2015-05-15

8.  Comprehensive pharmacogenetic analysis of DPYD, UGT, CDA, and ABCB1 polymorphisms in pancreatic cancer patients receiving mFOLFIRINOX or gemcitabine plus nab-paclitaxel.

Authors:  Caterina Vivaldi; Stefania Crucitta; Silvia Catanese; Federico Cucchiara; Elena Arrigoni; Irene Pecora; Eleonora Rofi; Lorenzo Fornaro; Francesca Salani; Valentina Massa; Enrico Vasile; Riccardo Morganti; Romano Danesi; Marzia Del Re
Journal:  Pharmacogenomics J       Date:  2021-01-18       Impact factor: 3.550

9.  Pharmacogenetics of ATP binding cassette transporter MDR1(1236C>T) gene polymorphism with glioma patients receiving Temozolomide-based chemoradiation therapy in Indian population.

Authors:  Murali Munisamy; Srinivasan Munisamy; Julka Pramod Kumar; Anmi Jose; Levin Thomas; Gayathri Baburaj; Vivekanandhan Subbiah
Journal:  Pharmacogenomics J       Date:  2021-02-15       Impact factor: 3.245

10.  Single-nucleotide polymorphisms and the effectiveness of taxane-based chemotherapy in premenopausal breast cancer: a population-based cohort study in Denmark.

Authors:  Cathrine F Hjorth; Per Damkier; Tore B Stage; Søren Feddersen; Stephen Hamilton-Dutoit; Mikael Rørth; Bent Ejlertsen; Timothy L Lash; Thomas P Ahern; Henrik T Sørensen; Deirdre Cronin-Fenton
Journal:  Breast Cancer Res Treat       Date:  2022-04-30       Impact factor: 4.624

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