Literature DB >> 24338217

Association of single nucleotide polymorphisms in MTHFR and ABCG2 with the different efficacy of first-line chemotherapy in metastatic colorectal cancer.

Jing Zhao1, Wenhua Li, Dan Zhu, Qihe Yu, Zhe Zhang, Menghong Sun, Sanjun Cai, Wen Zhang.   

Abstract

Either oxaliplatin- or irinotecan-containing regimen could receive a good effectiveness in patients with metastatic colorectal cancer as the first-line chemotherapy, but not all patients would benefit from the treatment they have received. This study was to investigate the role of single nucleotide polymorphisms (SNPs) of methylenetetrahydrofolate reductase (MTHFR) and ATP-binding cassette sub-family G member 2 (ABCG2) in selecting the most appropriate treatment for individual patients. Ninety-two metastatic colorectal cancer patients treated with first-line 5-fluoropyrimidine (5-FU), leucovorin, and oxaliplatin (FOLFOX), capecitabine, and oxaliplatin (XELOX) and sixty-two patients receiving 5-FU, leucovorin, and irinotecan (FOLFIRI) were reviewed. The SNPs of MTHFR and ABCG2 were detected using gene sequencing method after DNA PCR amplification, which was extracted from peripheral blood karyocytes. Clinical characteristics and gene polymorphisms were evaluated in univariate and multivariate analysis as predictive factors for response rate (RR) and progression-free survival (PFS). In patients bearing 2-4 genotypes of MTHFR 677C/C, MTHFR 1298 A/C or C/C, ABCG2 34G/G, and ABCG2 421C/A or A/A, those who received oxaliplatin-based chemotherapy achieved a higher RR (41.7 vs. 18.8 %, P = 0.027) and longer median PFS (mPFS) than irinotecan-based therapy [8.9 vs. 7.1 m, FOLFIRI: hazard ratio (HR) = 1.722, 95 % confidence interval (CI) 1.026-2.892, P = 0.040, compared with FOLFOX/XELOX]; on the contrary, patients carrying 0 or 1 above genotype exhibited better outcomes after receiving FOLFIRI chemotherapy (mPFS: 9.3 vs. 6.4 m, FOLFIRI: HR = 0.422, 95 % CI 0.205-0.870, P = 0.019, compared with FOLFOX/XELOX). Combination of SNPs with MTHFR and ABCG2 may play a role in helping clinicians to select first-line chemotherapy for patients with metastatic colorectal cancer.

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Year:  2013        PMID: 24338217      PMCID: PMC3890033          DOI: 10.1007/s12032-013-0802-6

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


Introduction

Colorectal cancer (CRC) is one of the commonly diagnosed cancers among patients, which ranks the third for males and the second for females worldwide. For the fatality rate, it ranks the fourth and the third for males and females, respectively [1]. Systemic combination chemotherapy is the mainstay of the treatment for patients with metastatic colorectal cancer (mCRC). Treatment for patients with mCRC has evolved significantly over the last 10 years with the use of new active cytotoxic agents, including oxaliplatin and irinotecan plus targeted monoclonal antibodies bevacizumab, cetuximab, and panitumumab; 5-fluoropyrimidine (5-FU), leucovorin (CF), and oxaliplatin (FOLFOX), capecitabine, and oxaliplatin (XELOX) or 5-FU, CF, and irinotecan (FOLFIRI) are the standard chemotherapy treatment for metastatic colorectal cancer in practice with equivalent treatment effectiveness [2-4]. However, some patients do not necessarily benefit from the treatment they have received, but are exposed to the adverse effects nonetheless [5]. Therefore, it is of great importance to identify biomarkers that could help select the optimum regimen for each patient. Genetic polymorphisms in drug target genes, genes encoding DNA repair enzymes, and detoxification pathways may influence the activity of the drug. Single nucleotide polymorphism (SNP) refers to the DNA sequence polymorphisms caused by single nucleotide variations occurred at the genomic level with the probability greater than 1 %, which sometimes can affect the expression or activity of its encoded protein and therefore affects its function. With respect to the cancer treatment, SNP would be related to different therapeutic efficacy and adverse reactions. As the common drug in FOLFOX, XELOX, and FOLFIRI regimens, 5-FU or its derivate remains the basis for colorectal cancer chemotherapy. Optimal cytotoxicity of fluoropyrimidines requires elevated 5, 10-methylenetetrahydrofolate (CH2FH4) tumoral concentrations, controlled by the methylenetetrahydrofolate reductase (MTHFR) enzyme, which irreversibly converts CH2FH4 into 5-methyltetrahydrofolate. The MTHFR gene is subject to several polymorphisms, of which the 677C>T and 1298A>C SNPs are the two most commonly linked with altered enzyme activity. Accordingly, experimental data have shown that rare MTHFR variants in position 677 and 1298 are more sensitive to 5-FU [6-9]. However, results of clinical data do not concord regarding the influence of MTHFR genotype on 5-FU responsiveness or patients’ survival [10-12]. Breast cancer resistance protein (BCRP/ABCG2) is an ATP-binding cassette transporter, which may directly cause resistance of cancer cells by active efflux of anticancer drugs. It has been found that there are more than 40 SNPs in ABCG2 gene, the most common two of which are the 421C>A in exon 5 and 34G>A in exon 2. Numerous in vitro studies have shown that 421A cells have a reduced resistance to irinotecan and its active product SN-38 [13, 14], while the polymorphisms of 421C>A in ABCG2 gene has no effect on the pharmacokinetics of hydrochloric acid irinotecan based on the blood sample from 84 European patients [15]. As for ABCG2 34G>A, Mcleod [16] reported at the 2008 ASCO annual meeting that this polymorphism was associated with relative susceptibility to FOLFOX and resistance to FOLFIRI (P < 0.013, Caucasians only). The research results remind us that the respective benefit populations of different chemotherapy regimens could be distinguished through the study of single nucleotide polymorphisms. If this conclusion could be confirmed by more researches, this SNP may provide evidence for selecting FOLFOX or FOLFIRI therapy for patients with advanced colorectal patients. In the present study, we detected the SNPs in MTHFR 677C>T, 1298A>C, ABCG2 34G>A, and 421C>A in patients with mCRC who had received FOLFOX/XELOX or FOLFIRI as first-line chemotherapy, and combined with the clinical features, we investigated the potential markers for selecting the first-line chemotherapy.

Methods

Patients

We retrospectively collected the data for advanced colorectal cancer patients who received first-line standard FOLFOX, XELOX, or FOLFIRI regimen between January 2009 and May 2011 at Fudan University Shanghai Cancer Center. Subjects eligible for this study must meet the following criteria: (1) pathologically confirmed colorectal adenocarcinoma with unrespectable and appraisable metastasis or relapse; (2) must have received first-line FOLFOX, XELOX, or FOLFIRI chemotherapy for at least 2 cycles; (3) age between 18 and 75; (4) ECOG 0-1; and (5) peripheral blood sample was reserved in our tissue bank. Written informed consent was obtained from all patients as well.

Genotyping

Genomic DNA was isolated from whole blood using the FUJIFILM DNA extraction kit. Based on previous published studies, the single nucleotide polymorphisms selected for testing were MTHFR 677C>T (rs1801133, Ala 222 Val) and 1298A>C (rs1801131, Glu 428 Ala), and ABCG2 34G>A (rs2231137, Val 12 Met) and 421C>A (rs2231142, Gln 141 Lys). Genotyping for the SNPs was determined using pyrosequencing. Primers used were F, 5′-GGAAGGTGCAAGATCAGAGC-3′ and R, 5′-CTGGGAAGAACTCAGCGAAC-3′ for amplification of codon 222 of MTHFR; F, 5′-CCAGACCAAAGAGTTACATCTACCG-3 and R, 5′-CTTACCCTTCTCCCTTTGCCA-3′ for codon 428 of MTHFR; F, 5′-TTCCAAGTTGTGCCTGTC-3′ and R, 5′-AAGCCATTGGTGTTTCC-3′ for codon 12 of ABCG2; and F, 5′-GGATGATGTTGTGATGGGCACTCT-3′ and R, 5′-GGAAAGCAACCATTTTTGACCATAC-3′ for codon 141 of ABCG2.

Statistics

According to RECIST (version 1.1), the response to treatment was assessed by clinical and radiologic examination using CT scan or MRI of the chest, abdomen, and pelvis. Objective response rate (RR) refers to the percentage of patients having complete response (CR) or partial response (PR). Patients with stable disease (SD) or progressive disease (PD) are defined as nonresponders. Progression-free survival (PFS) is defined as the time interval from the start of first-line chemotherapy to first disease progression or death from any cause if disease progression does not occur. Alive patients without progression will be censored at the last follow-up. PFS was estimated by the Kaplan–Meier method. The relationship between prognostic factors and PFS was explored using log-rank test and Cox regression model for univariate and multivariate analyses, respectively. Pearson’s χ 2 test or Fisher’s exact test was used to assess the association between predictive factors and RR, while for multivariate analyses, binary logistic regression model was employed. P values were two-tailed for all the tests, and statistical significance was set as P < 0.05. Analyses were conducted using SPSS 17.0.

Results

Patient characteristics

Of all 154 patients enrolled, ninety (58 %) patients were male, and 64 (42 %) were female, with a median age of 56 (range 30–75). All treated patients had an ECOG PS of 0 or 1. Ninety-two patients were diagnosed with rectal cancer and 62 with colon cancer. Radical resection of the primary tumor had been performed in 86 % of the patients (n = 132). Synchronous metastasis occurred in 78 patients, and metachronous metastasis or relapse occurred in 76 patients. Ninety-five patients had a single metastatic organ, and 59 had more than one metastatic organs. One patient achieved CR (1 %), 48 patients achieved PR (31 %), 75 patients had SD (49 %), and 29 had PD (19 %), with a RR of 32 %. Until March 12, 2012, one hundred and thirty-seven (89 %) patients have progressed, with the mPFS of 8.1 months [95 % confidence interval (CI) 6.9–9.3]. Among them, 92 patients received oxaliplatin-containing regimen (FOLFOX or XELOX), with a RR of 35.9 % and mPFS of 8.3 months; the rest 62 patients were treated with FOLFIRI chemotherapy, with a RR of 26.2 % and mPFS of 8.1 months. No significant differences were observed for either RR (P = 0.211) or PFS (P = 0.443) between the two regimens. Table 1 presents the demographic characteristics of the participants enrolled in the study. There was no significant difference in age, gender, primary site of tumor, radical resection of primary tumor, and the number of metastatic organs, between two groups of patients treated with different regimens, except the time of metastasis. Of all 154 patients, each of the genotypes of MTHFR 1298A>C and ABCG2 34G>A was not available for one patient, respectively. Table 2 illustrates the distributions of genotypes for the SNPs.
Table 1

The characteristics of FOLFOX/XELOX and FOLFIRI groups

CharacteristicFOLFOX/XELOX n (%)FOLFIRI n (%) P value
Age (year)
 Mean ± SD56.07 ± 9.654.98 ± 9.80.826
Gender
 Male56 (60.9)34 (54.8)0.456
 Female36 (39.1)28 (45.2)
Primary site
 Rectum54 (58.7)38 (61.3)0.747
 Colon38 (41.3)24 (38.7)
Radical resection of primary site
 Yes78 (84.8)54 (87.1)0.687
 No14 (15.2)8 (12.9)
Number of metastatic organs
 Single59 (64.1)36 (58.1)0.448
 Multiple33 (35.9)26 (41.9)
Time of metastasis
 Heterochrony29 (31.5)47 (75.8) 0.000
 Synchrony63 (68.5)15 (24.2)

Bold value indicates statistical significance

FOLFOX 5-fluoropyrimidine, leucovorin, and oxaliplatin, XELOX capecitabine and oxaliplatin, FOLFIRI 5-fluoropyrimidine, leucovorin, and irinotecan, SD standard deviation

Table 2

The genotypes distributions of MTHFR and ABCG2 genes

GenotypeCase/nPercentage (%)
MTHFR 677
 C/C5535.7
 C/T7750.0
 T/T2214.3
MTHFR 1298
 A/A10166.0
 A/C4428.8
 C/C85.2
ABCG2 34
 G/G7146.4
 G/A5837.9
 A/A2415.7
ABCG2 421
 C/C6039.0
 C/A7850.6
 A/A1610.4

MTHFR methylenetetrahydrofolate reductase, ABCG2 ATP-binding cassette sub-family G member 2

The characteristics of FOLFOX/XELOX and FOLFIRI groups Bold value indicates statistical significance FOLFOX 5-fluoropyrimidine, leucovorin, and oxaliplatin, XELOX capecitabine and oxaliplatin, FOLFIRI 5-fluoropyrimidine, leucovorin, and irinotecan, SD standard deviation The genotypes distributions of MTHFR and ABCG2 genes MTHFR methylenetetrahydrofolate reductase, ABCG2 ATP-binding cassette sub-family G member 2

Predictive factors

For patients receiving FOLFOX/XELOX chemotherapy, RR was higher and PFS was longer in patients carrying MTHFR 677C/C, 1298 A/C or C/C, ABCG2 34G/G, or 421C/A or A/A; in contrast, for patients treated with FOLFIRI, RR was lower and PFS was shorter in those genotypes, except that there was no difference in PFS between patients bearing MTHFR 677C/C and a genotype containing T. However, there were almost no significant differences, except ABCG2 421C>A in RR for patients treated with FOLFOX/XELOX (seen in Table 3). Based on these results, we defined MTHFR 677C/C, MTHFR 1298 A/C or C/C, ABCG2 34G/G, and ABCG2 421 C/A or A/A as the favorable genotypes for FOLFOX/XELOX regimen, and each was defined as 1 point each, while the opposite genotype was 0 point each. A score of 0–4 was calculated for each patient. Two groups were identified according to the score: a low-score group (0–1 point), and high-score group (2–4 points). The univariate analysis showed that in the low-score group, patients treated with FOLFIRI had a longer mPFS than those administrated by FOLFOX/XELOX (9.3 vs. 6.4 months, P = 0.604, Fig. 1), and PFS was significantly associated with radical resection of primary lesion, the number of metastatic organs, and the time of metastasis, while in the high-score group, patients receiving FOLFIRI had a shorter mPFS than those treated with FOLFOX/XELOX (7.1 vs. 8.9 months, P = 0.192, Fig. 2), and PFS was significantly associated with radical resection of primary lesion. These three variables were introduced in the multivariate analysis, along with the first-line chemotherapy. After being adjusted for radical resection of primary lesion, the number of metastatic organs, and the time of metastasis, patients treated with FOLFIRI were associated with a 57.8 % reduced risk of disease progression [adjusted hazard ratio (HR) = 0.422, 95 % CI 0.205–0.870, P = 0.019] compared with FOLFOX/XELOX, while in the high-score group, patients receiving FOLFIRI were associated with a 72.2 % increased risk of disease progression (adjusted HR = 1.722, 95 % CI 1.026–2.892, P = 0.040) (seen in Tables 4 and 5). As for RR, the univariate analysis showed in the low-score group, patients treated with FOLFIRI had a higher RR than those treated with FOLFOX/XELOX (55.8 vs. 44.4, P = 0.417), while in the high-score group, the RR was significantly higher in patients treated with FOLFOX/XELOX (41.7 vs. 18.8, P = 0.027). However, the multivariate analysis showed no significant differences.
Table 3

The relationship between single SNP and PFS in different chemotherapy regimens

GenotypeRR (%)FOLFOX/XELOX groupFOLFIRI group P value
P valuemPFS (m) P valueRR (%) P valuemPFS (m)
MTHFR-677
 C/C43.60.18510.00.43418.80.4288.10.178
 C/T + T/T30.27.028.38.1
MTHFR-1298
 A/A34.50.8577.60.76330.20.2318.70.199
 A/C + C/C36.40.1088.40.47215.80.3577.20.220
ABCG2-34
 G/G44.48.919.26.3
 G/A + A/A28.36.730.69.3
ABCG2-421
 C/C21.60.0196.60.21230.40.5619.10.757
 C/A + A/A45.58.923.17.5

SNP single nucleotide polymorphism, PFS progression-free survival, FOLFOX 5-fluoropyrimidine, leucovorin, and oxaliplatin, XELOX capecitabine and oxaliplatin, FOLFIRI 5-fluoropyrimidine, leucovorin, and irinotecan, MTHFR methylenetetrahydrofolate reductase, ABCG2 ATP-binding cassette sub-family G member 2

Fig. 1

Kaplan–Meier estimation of PFS by the first-line chemotherapy in low-score group

Fig. 2

Kaplan–Meier estimation of PFS by the first-line chemotherapy in high-score group

Table 4

The multivariate analysis of PFS in low-score group

VariableHR95 % CI P value
First-line FOLFIRI0.4220.205–0.870 0.019
Synchronous metastasis0.2380.094–0.600 0.002
Radical resection of primary site0.1710.061–0.480 0.001
Multiple metastatic organs0.8230.435–1.5540.548

Bold values indicate statistical significance

PFS progression-free survival, HR hazard ratio, CI confidence interval, FOLFIRI 5-fluoropyrimidine, leucovorin, and irinotecan

Table 5

The multivariate analysis of PFS in high-score group

VariableHR95 % CI P value
First-line FOLFIRI1.7221.026–2.892 0.040
Synchronous metastasis1.7571.028–3.003 0.039
Radical resection of primary site0.7260.345–1.5270.399
Multiple metastatic organs1.4240.836–2.4260.194

Bold values indicate statistical significance

PFS progression-free survival, HR hazard ratio, CI confidence interval, FOLFIRI 5-fluoropyrimidine, leucovorin, and irinotecan

The relationship between single SNP and PFS in different chemotherapy regimens SNP single nucleotide polymorphism, PFS progression-free survival, FOLFOX 5-fluoropyrimidine, leucovorin, and oxaliplatin, XELOX capecitabine and oxaliplatin, FOLFIRI 5-fluoropyrimidine, leucovorin, and irinotecan, MTHFR methylenetetrahydrofolate reductase, ABCG2 ATP-binding cassette sub-family G member 2 Kaplan–Meier estimation of PFS by the first-line chemotherapy in low-score group Kaplan–Meier estimation of PFS by the first-line chemotherapy in high-score group The multivariate analysis of PFS in low-score group Bold values indicate statistical significance PFS progression-free survival, HR hazard ratio, CI confidence interval, FOLFIRI 5-fluoropyrimidine, leucovorin, and irinotecan The multivariate analysis of PFS in high-score group Bold values indicate statistical significance PFS progression-free survival, HR hazard ratio, CI confidence interval, FOLFIRI 5-fluoropyrimidine, leucovorin, and irinotecan

Discussion

While the fatality rate for colorectal cancer has been decreasing in several developed countries, the rate continues to increase in many developing countries with limited resources and health infrastructure [1]. Even with the application of the new drugs of oxaliplatin and irinotecan, still nearly half of the advanced colorectal patients could not benefit from the chemotherapy they received. Even though FOLFOX, XELOX, and FOLFIRI have similar efficacy on either RR, PFS, or OS, until recently, little is known about how to select the first-line chemotherapy for patients with metastatic colorectal cancer. We identified two groups suitable for different regimens depending on the SNPs of MTHFR and ABCG2. Patients carrying 0–1 of MTHFR 677C/C, MTHFR 1298A/C or C/C, ABCG2 34G/G, and ABCG2 421C/A or A/A genotypes had higher RR and longer PFS when treated with FOLFIRI regimen as the first-line chemotherapy, while patients carrying 2–4 of above genotypes had higher RR and longer PFS after treated with FOLFOX or XELOX. To our knowledge, this is the first study to explore the predictive biomarkers to select the first-line regimen for patients with mCRC published to date. In this study, we analyzed the data for 154 patients with advanced colorectal cancer who had received FOLFOX, XELOX, or FOLFIRI as the first-line chemotherapy. In the FOLFOX/XELOX group, the RR was 36 %, and the PFS was 8.3 months, while in the FOLFIRI group, the RR and PFS were 26.2 % and 8.1 months, respectively. No significant differences were observed between the two groups, which was similar with the results reported previously. There have been no predictive biomarkers for choosing the first-line chemotherapy for patients. In our study, we investigated the predictive role of SNPs of MTHFR and ABCG2 for selecting the first-line treatment. MTHFR irreversibly converts CH2FH4 into CH3FH4, and intracellular CH2FH4 concentration is mainly controlled by MTHFR [17]. In agreement, experimental [18] and clinical [19] studies have established that optimal 5-FU cytotoxicity requires elevated CH2FH4 tumoral concentrations. A study by Cohen et al. [7] is the first that reported a link between the MTHFR genotype and tumor response to 5-FU-based chemotherapy, among which of 43 metastatic colorectal cancer patients receiving exclusive 5-FU therapy, all five 677TT patients responded to the treatment, whereas the response rate was approximately 50 % in 677CC patients. Terrazzino et al. [8] found that in rectal cancer patients receiving 5-FU-based chemotherapy and radiotherapy, patients not carrying the MTHFR 677T-1298A haplotype exhibited a higher response rate than patients with the MTHFR 677T-1298A haplotype (P = 0.002). By contrast, most studies containing advanced colorectal cancer patients receiving 5-FU associated with irinotecan or oxaliplatin failed to show a link between the two MTHFR polymorphisms (677C>T and 1298A>C) and RR or survival [11, 20, 21]. Thus, some researchers considered that the predictive role of MTHFR polymorphisms on 5-FU responsiveness has been reported in studies where 5-FU was the central drug; however, it would appear that the presence of oxaliplatin or irinotecan in current 5-FU-based treatment could blur the influence of MTHFR polymorphisms on the treatment outcomes [22]. Exact mechanism remains unclear, which is needed elucidating by further studies. ABCG2 is a member of the ABC transporter family, which was first cloned from doxorubicin-resistant human MCF-7 breast cancer cells and was named breast cancer resistance protein (BCRP) [23]. ABCG2 is a transmembrane transporter that carries out many chemotherapy drugs out of cells, including CPT-11 and its active metabolite SN-38 [24]. The SNPs of ABCG2 affect the pharmacokinetics of many drugs by affecting either expression of ABCG2, the activity of ABCG2, or the transport efficiency of substrate. The data presented by Kobayashi suggested that the 421C>A variant in the BCRP gene, a common SNP in both Japanese and Caucasian populations, alters protein levels and lowers the activity of its ATP enzyme, thus increasing the sensitivity of anticancer drugs. Vitro studies indicated that 421A-cells have a lower drug resistance to CPT-11 and SN-38 [13, 14]. The report presented at 2008 ASCO annual meeting, which indicated that ABCG2 34G>A was associated with relative susceptibility to FOLFOX and resistance to FOLFIRI [16], aroused us to analyze the predictive value of SNP for different chemotherapy regimens. Our study found that single SNP has no predictive role on efficacy or survival for the patients treated with FOLFOX/XELOX or FOLFIRI. However, when several SNPs combined, favorable patients for different regimens can be separated: Patients carrying 2–4 of MTHFR 677C/C, MTHFR 1298 A/C or C/C, ABCG2 34G/G, and ABCG2 421C/C or A/A may benefit more from FOLFOX/XELOX regimen as the first-line chemotherapy. On the other side, patients carrying 0–1 above genotype may get more benefits from the chemotherapy of FOLFIRI. Conclusively, the results of the study indicated that the combination of SNPs may play a role in determining the first-line chemotherapy for patients. However, the limitations of the retrospective study, mainly small sample size, could affect final results. Therefore, these results need to be validated in a larger prospective study further to seek the predictive scale to determine the best treatment for patients, combined with other biomarkers, such as microRNA, mRNA, or protein. To elucidate the mechanism underlying the polymorphisms and chemotherapy efficacy, further functional evaluations are needed.
  23 in total

1.  Single nucleotide polymorphisms modify the transporter activity of ABCG2.

Authors:  Kuniaki Morisaki; Robert W Robey; Csilla Ozvegy-Laczka; Yasumasa Honjo; Orsolya Polgar; Kenneth Steadman; Balázs Sarkadi; Susan E Bates
Journal:  Cancer Chemother Pharmacol       Date:  2005-04-19       Impact factor: 3.333

2.  A multidrug resistance transporter from human MCF-7 breast cancer cells.

Authors:  L A Doyle; W Yang; L V Abruzzo; T Krogmann; Y Gao; A K Rishi; D D Ross
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-22       Impact factor: 11.205

3.  Methylenetetrahydrofolate reductase gene polymorphisms: genomic predictors of clinical response to fluoropyrimidine-based chemotherapy?

Authors:  E Marcuello; A Altés; A Menoyo; E Del Rio; M Baiget
Journal:  Cancer Chemother Pharmacol       Date:  2005-09-27       Impact factor: 3.333

4.  Thymidylate synthase and methylenetetrahydrofolate reductase gene polymorphism in normal tissue as predictors of fluorouracil sensitivity.

Authors:  Anders Jakobsen; Jens Nederby Nielsen; Niels Gyldenkerne; Jan Lindeberg
Journal:  J Clin Oncol       Date:  2005-03-01       Impact factor: 44.544

5.  Pharmacogenetic profiling in patients with advanced colorectal cancer treated with first-line FOLFOX-4 chemotherapy.

Authors:  Annamaria Ruzzo; Francesco Graziano; Fotios Loupakis; Eliana Rulli; Emanuele Canestrari; Daniele Santini; Vincenzo Catalano; Rita Ficarelli; Paolo Maltese; Renato Bisonni; Gianluca Masi; Gaia Schiavon; Paolo Giordani; Lucio Giustini; Alfredo Falcone; Giuseppe Tonini; Rosarita Silva; Rodolfo Mattioli; Irene Floriani; Mauro Magnani
Journal:  J Clin Oncol       Date:  2007-04-01       Impact factor: 44.544

Review 6.  Clinical, laboratory and molecular factors predicting chemotherapy efficacy and toxicity in colorectal cancer.

Authors:  Wei Chua; Patricia S Kho; Melissa M Moore; Kellie A Charles; Stephen J Clarke
Journal:  Crit Rev Oncol Hematol       Date:  2010-08-16       Impact factor: 6.312

7.  Methylenetetrahydrofolate reductase polymorphism in advanced colorectal cancer: a novel genomic predictor of clinical response to fluoropyrimidine-based chemotherapy.

Authors:  Victor Cohen; Valerie Panet-Raymond; Nelly Sabbaghian; Isabelle Morin; Gerald Batist; Rima Rozen
Journal:  Clin Cancer Res       Date:  2003-05       Impact factor: 12.531

8.  FOLFIRI followed by FOLFOX6 or the reverse sequence in advanced colorectal cancer: a randomized GERCOR study.

Authors:  Christophe Tournigand; Thierry André; Emmanuel Achille; Gérard Lledo; Michel Flesh; Dominique Mery-Mignard; Emmanuel Quinaux; Corinne Couteau; Marc Buyse; Gérard Ganem; Bruno Landi; Philippe Colin; Christophe Louvet; Aimery de Gramont
Journal:  J Clin Oncol       Date:  2003-12-02       Impact factor: 44.544

9.  ABCG2 pharmacogenetics: ethnic differences in allele frequency and assessment of influence on irinotecan disposition.

Authors:  Floris A de Jong; Sharon Marsh; Ron H J Mathijssen; Cristi King; Jaap Verweij; Alex Sparreboom; Howard L McLeod
Journal:  Clin Cancer Res       Date:  2004-09-01       Impact factor: 12.531

Review 10.  Folate/vitamin B12 inter-relationships.

Authors:  J Scott; D Weir
Journal:  Essays Biochem       Date:  1994       Impact factor: 8.000

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Authors:  Chih-Ching Yeh; Ching-Yu Lai; Shih-Ni Chang; Ling-Ling Hsieh; Reiping Tang; Fung-Chang Sung; Yi-Kuei Lin
Journal:  Int J Clin Oncol       Date:  2017-01-02       Impact factor: 3.402

Review 2.  Pharmacologic resistance in colorectal cancer: a review.

Authors:  William A Hammond; Abhisek Swaika; Kabir Mody
Journal:  Ther Adv Med Oncol       Date:  2016-01       Impact factor: 8.168

3.  Clinical utility of ABCB1 and ABCG2 genotyping for assessing the clinical and pathological response to FAC therapy in Mexican breast cancer patients.

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Review 4.  PharmGKB summary: very important pharmacogene information for ABCG2.

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Journal:  Pharmacogenet Genomics       Date:  2017-11       Impact factor: 2.089

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Authors:  Tian Yang; Bo-Zan Chen; Dan-Feng Li; Huai-Ming Wang; Xiao-Sheng Lin; Hong-Fa Wei; Yong-Ming Zeng
Journal:  Medicine (Baltimore)       Date:  2016-01       Impact factor: 1.889

7.  Clinical Significance of Discordance between Carcinoembryonic Antigen Levels and RECIST in Metastatic Colorectal Cancer.

Authors:  In-Ho Kim; Ji Eun Lee; Ji Hyun Yang; Joon Won Jeong; Sangmi Ro; Seong Taek Oh; Jun-Gi Kim; Moon Hyung Choi; Myung Ah Lee
Journal:  Cancer Res Treat       Date:  2017-05-08       Impact factor: 4.679

8.  Degradation Rate of 5-Fluorouracil in Metastatic Colorectal Cancer: A New Predictive Outcome Biomarker?

Authors:  Andrea Botticelli; Marina Borro; Concetta Elisa Onesti; Lidia Strigari; Giovanna Gentile; Bruna Cerbelli; Adriana Romiti; Mario Occhipinti; Claudia Sebastiani; Luana Lionetto; Luca Marchetti; Maurizio Simmaco; Paolo Marchetti; Federica Mazzuca
Journal:  PLoS One       Date:  2016-09-22       Impact factor: 3.240

9.  Polymorphisms in DNA repair pathway genes and ABCG2 gene in advanced colorectal cancer: correlation with tumor characteristics and clinical outcome in oxaliplatin-based chemotherapy.

Authors:  Xiaoyun Hu; Wenyan Qin; Shanqiong Li; Miao He; Yilin Wang; Shu Guan; Haishan Zhao; Weifan Yao; Minjie Wei; Mingyan Liu; Huizhe Wu
Journal:  Cancer Manag Res       Date:  2018-12-27       Impact factor: 3.989

Review 10.  Cellular Mechanisms Accounting for the Refractoriness of Colorectal Carcinoma to Pharmacological Treatment.

Authors:  Jose J G Marin; Rocio I R Macias; Maria J Monte; Elisa Herraez; Ana Peleteiro-Vigil; Beatriz Sanchez de Blas; Paula Sanchon-Sanchez; Alvaro G Temprano; Ricardo A Espinosa-Escudero; Elisa Lozano; Oscar Briz; Marta R Romero
Journal:  Cancers (Basel)       Date:  2020-09-11       Impact factor: 6.639

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