Impact of 5-fluorouracil metabolizing enzymes on chemotherapy in patients with resectable colorectal cancer
- Authors:
- Published online on: July 2, 2014 https://doi.org/10.3892/or.2014.3299
- Pages: 887-892
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Copyright: © Ochiai et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY_NC 3.0].
Abstract
Introduction
Various useful biomarkers for molecular targeted drugs have recently been identified in advanced gastrointestinal cancer chemotherapy. For example, human epidermal growth factor receptor 2 (HER2) is involved in the pathogenesis and poor outcomes of several cancer types, including advanced gastric cancer. Molecular targeted drugs, such as trastuzumab, have been shown to prolong overall survival and progression-free survival in HER2-positive gastric cancer (1). In colorectal cancer (CRC) chemotherapy, the Ras status is a very useful biomarker for cetuximab and panitumumab treatment (2–13). The discovery of such biomarkers has led to the advancement of personalized medicine.
5-Fluorouracil (5-FU) is commonly used worldwide for the treatment of various tumors and is a key drug in CRC treatment. However, no useful biomarker is available to predict tumor response to 5-FU treatment. Consequently, individualized therapy with 5-FU is not available, despite extensive investigation on the correlation between 5-FU metabolic enzymes and antitumor effects to predict drug efficacy. Orotate phosphoribosyltransferase (OPRT) mostly converts 5-FU into its active form in the first metabolizing step, whereas dihydropyrimidine dehydrogenase (DPD) is the initial enzyme of 5-FU catabolism. Additionally, these enzymes also convert 5-FU pro-drugs such as S-1 and capecitabine into their active or inactive forms. Therefore, it is important to evaluate the activities of these enzymes to better understand the antitumor effects of 5-FU. Although there are several reports on the correlation between these enzymes and response to 5-FU (14–23), such a correlation has not been prospectively investigated in the adjuvant chemotherapy setting.
In the present study, we aimed to prospectively evaluate whether OPRT and DPD are predictive factors of 5-FU response in patients with resectable CRC.
Patients and methods
Study population
Patients were enrolled in the present study based on the following eligibility criteria: age of 18–75 years, histologically confirmed colon adenocarcinoma after curative surgery, Dukes’ clinical staging of B or C, Eastern Cooperative Oncology Group performance status of 0–1, no prior chemotherapy or radiotherapy, sufficient oral intake capability, and adequate major organ function. Other exclusion criteria were the presence of continuous double cancers and asynchronous multiple cancers.
Study design and treatment
The present investigation was designed as a multicenter prospective cohort study, involving collaborative efforts from 13 centers. All patients provided written informed consent. The institutional review board or independent ethics committees approved the study protocol at each center. The endpoint of this study was the correlation between OPRT/DPD activity ratio and 5-year disease-free survival (DFS) and overall survival (OS). All patients underwent complete CRC resection without preoperative chemotherapy. They subsequently received adjuvant chemotherapy with 5-FU/leucovorin (LV) regimens as follows: bolus 5-FU (333 mg/m2) and a 2-h infusion of LV (167 mg/m2) on day 1 weekly for 6 consecutive weeks postoperatively. Thereafter, the patients were treated with oral 5-FU tablets (200 mg/day) for 2 years. This treatment was changed to other chemotherapy regimens when cancer recurrence was confirmed.
OPRT activity
A tissue sample weighing ~300 mg was obtained from each resected tumor and immediately frozen and stored at −80°C until radioassay for OPRT activity determination (24). Briefly, tissue samples were homogenized and centrifuged to obtain the supernatant. The supernatant was then mixed with an equal volume of a substrate solution containing 100 mM Tris-HCl (pH 7.5), 100 mM MgCl2, 10 mM phosphoribosyl pyrophosphate, 30 mM 2-glycerophosphate, 1.6 mM α,β-methylene adenosine diphosphate, and 8 mM [3H]-5-FU. The reaction was stopped at 0, 5, 10, and 15 min after the addition of the substrate solution. The reaction mixture was then centrifuged to remove unreacted [3H]-5-FU. The reaction rate per minute was calculated by measuring the production of 5-fluorouridine monophosphate over time using a liquid scintillation counter.
DPD activity
A tissue sample weighing ~300 mg was obtained from the resected tumor and immediately frozen and stored until radioassay for DPD activity determination (25,26). DPD activity was calculated by measuring the total production of metabolites after [14C]-5-FU was added to the homogenized tissue sample. These metabolites included dihydrofluorouracil, 2-fluoro-β-ureidopropionate, and α-fluoro-β-alanine. 5-FU and the metabolites were separated by thin-layer chromatography.
Statistical analysis
The cut-off values for the OPRT/DPD ratio against recurrence and death were calculated by using the maximal χ2 statistic method (27,28). Subsequently, patients were classified according to their OPRT/DPD ratios into a group with ratios less than or equal to the cut-off value and another group with ratios above this value. The Pearson’s χ2 test was used to compare the recurrence and death rates of the two cohorts. The OPRT/DPD ratio that yielded the largest χ2 test result was selected as the optimal cut-off value. The DFS and OS rates according to cut-off values of OPRT and DPD activities were determined using Kaplan-Meier analysis. The survival curves of the two cohorts, categorized by cut-off values, were compared by the log-rank test. Cox’s regression method was used for the multivariate analysis of prognostic factors for DFS and OS. Data were analyzed using the Statistical Package for the Social Sciences (SPSS) for Windows version 21 (SPSS Inc., Chicago, IL, USA). A P-value <0.05 was regarded as statistically significant.
Results
Patients
Sixty-eight patients were enrolled from July 2003 to May 2005. Patient characteristics are summarized in Table I. The median follow-up period was 1925 days.
Enzyme activity
The enzyme activities and OPRT/DPD ratio are shown in Table II.
Cut-off values
The cut-off values for the OPRT/DPD ratio against DFS and OS obtained by maximal χ2 statistics were 0.01467 (χ2 value =7.863) and 0.01254 (χ2 value =8.05), respectively.
Correlation between OPRT/DPD ratio and DFS
Patients were divided into high and low OPRT/DPD ratio cohorts using a cut-off value of 0.01467. No significant differences in patient characteristics were observed between the two cohorts (Table III). The DFS rates for each cohort are shown in Fig. 1. Patients in the high OPRT/DPD ratio cohort had a significantly better prognosis for DFS than those in the low OPRT/DPD ratio cohort (P=0.0280). In addition, a high OPRT/DPD ratio [hazard ratio (HR), 0.85; 95% confidence interval (CI), 0.011–0.664; P=0.019] and node status (HR, 2.278; 95% CI, 1.175–4.416; P=0.015) were identified as independent predictive factors for better DFS by multivariate analysis (Table IV).
Correlation between OPRT/DPD ratio and OS
Patients were divided into high and low OPRT/DPD ratio cohorts using a cut-off value of 0.01254. No significant differences in patient characteristics were observed between the two cohorts (Table V). The OS rates for each cohort are shown in Fig. 2. Patients in the high OPRT/DPD ratio cohort had a significantly better prognosis for OS than those in the low OPRT/DPD ratio cohort (P=0.0208). Furthermore, a high OPRT/DPD ratio (HR, 0.112; 95% CI, 0.014–0.911; P=0.041) was identified as an independent predictive factor for better OS by multivariate analysis (Table VI).
Discussion
OPRT is involved in the conversion of 5-FU to the active nucleotide and is considered to be a key enzyme in the first metabolizing step, leading to DNA synthesis inhibition and RNA dysfunction. DPD is the initial enzyme of 5-FU catabolism. Thus, OPRT and DPD are believed to be essentially associated with the antitumor effect of 5-FU (14–23). In the present cohort study, we prospectively evaluated the correlation between tumor OPRT/DPD ratio and response to 5-FU in CRC patients receiving 5-FU-based adjuvant chemotherapy.
We found that patients in the high OPRT/DPD ratio cohort had significantly better DFS and OS than those in the low ratio cohort. These results were consistent with the findings that 5-FU could be more easily metabolized to fluorodeoxyuridine monophosphate in the high OPRT/DPD ratio cohort, thus resulting in the induction of higher antitumor effects by 5-FU.
The nodal status and tumor OPRT/DPD ratio were identified as significant predictive factors for DFS by multivariate analysis in the present prospective study. The identification of nodal status as a predictive factor was quite logical. However, only the OPRT/DPD ratio was identified as a significant independent predictive factor for OS by multivariate analysis. The reason for this finding may be due to the influence of treatment with multiple drug combinations (such as irinotecan, oxaliplatin, molecularly targeted drugs) in addition to 5-FU after disease recurrence.
For all cancer types, the primary purpose of adjuvant chemotherapy is to eliminate traces of residual disease, which are likely to exist in high-risk patients. This prospective study revealed that the tumor OPRT/DPD ratio could be a useful independent factor to select high-risk patients for adjuvant chemotherapy. Thus, the OPRT/DPD ratio could be a predictive factor for 5-FU-based adjuvant chemotherapy. Patients in the low OPRT/DPD ratio cohort had significantly worse DFS and OS. A low OPRT/DPD ratio could be due to low OPRT activity or high DPD activity. In patients with low OPRT activity, the antitumor effects of 5-FU were not expected. Therefore, adjuvant chemotherapy with multiple drug combination (leucovorin and fluorouracil plus oxaliplatin; FOLFOX) was recommended for low OPRT activity patient. In high DPD activity patient, on the other hand, 5-FU involving a DPD inhibitor was recommended (e.g. S-1, leucovorin and S-1 plus oxaliplatin; SOX). S-1 involves gimeracil to inhibit DPD, therefore, the serum 5-FU level is kept high. Recently, the safety profile of S-1 and SOX was disclosed with adjuvant chemotherapy trials for colorectal cancer (29). In advanced CRC chemotherapy, moreover, there are several reports concerning the efficacy of SOX (30,31).
There were several limitations to this prospective study. First, the sample size was small. A larger sample size would have improved the quality of the data. Second, in the present study, 5-FU metabolic enzymes were evaluated in tumor tissue instead of cancer cells. Although 5-FU metabolic enzymes in cancer cells have been previously investigated using the microdissection method, cancerous tissue includes not only cancer cells but also stromal cells such as cancer-associated fibroblasts, tumor endothelial cells, tumor associated macrophages, and many other cells present in the tumor microenvironment. Recently, the tumor microenvironment has been reported to play an extremely important role in the progression of cancer, which suggests that cancer stromal cells contribute to cancer progression (32–38). Nagano et al reported that the DPD mRNA level in cancer stromal tissues was significantly higher than that in cancer cells (39). Since tumor tissue, including cancer stromal cells, was evaluated in the present study, our findings may be extremely important.
In conclusion, our results suggest that patients with a high OPRT/DPD ratio had significantly better DFS and OS than those with a low OPRT/DPD ratio. Moreover, the tumor OPRT/DPD ratio was identified as a significant predictive factor for DFS and OS by multivariate analysis. These results suggest that the tumor OPRT/DPD ratio may be a predictive factor of 5-FU response in patients with resectable CRC. In addition, the tumor OPRT/DPD ratio may contribute to the individualization of 5-FU-based chemotherapy in the clinical setting.
References
Bang YJ, Van Cutsem E, Feyereislova A, et al: Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomised controlled trial. Lancet. 376:687–697. 2010. View Article : Google Scholar | |
Lièvre A, Bachet JB, Le Corre D, et al: KRAS mutation status is predictive of response to cetuximab therapy in colorectal cancer. Cancer Res. 66:3992–3995. 2006.PubMed/NCBI | |
Karapetis CS, Khambata-Ford S, Jonker DJ, et al: K-ras mutations and benefit from cetuximab in advanced colorectal cancer. N Engl J Med. 359:1757–1765. 2008. View Article : Google Scholar : PubMed/NCBI | |
Van Cutsem E, Köhne CH, Hitre E, et al: Cetuximab and chemotherapy as initial treatment for metastatic colorectal cancer. N Engl J Med. 360:1408–1417. 2009.PubMed/NCBI | |
Bokemeyer C, Bondarenko I, Makhson A, et al: Fluorouracil, leucovorin, and oxaliplatin with and without cetuximab in the first-line treatment of metastatic colorectal cancer. J Clin Oncol. 27:663–671. 2009. View Article : Google Scholar : PubMed/NCBI | |
Folprecht G, Gruenberger T, Bechstein WO, et al: Tumour response and secondary resectability of colorectal liver metastases following neoadjuvant chemotherapy with cetuximab: the CELIM randomised phase 2 trial. Lancet Oncol. 11:38–47. 2010. View Article : Google Scholar | |
Hecht JR, Patnaik A, Berlin J, et al: Panitumumab monotherapy in patients with previously treated metastatic colorectal cancer. Cancer. 110:980–988. 2007. View Article : Google Scholar : PubMed/NCBI | |
Van Cutsem E, Peeters M, Siena S, et al: Open-label phase III trial of panitumumab plus best supportive care compared with best supportive care alone in patients with chemotherapy-refractory metastatic colorectal cancer. J Clin Oncol. 25:1658–1664. 2007.PubMed/NCBI | |
Siena S, Peeters M, Van Cutsem E, et al: Association of progression-free survival with patient-reported outcomes and survival: results from a randomised phase 3 trial of panitumumab. Br J Cancer. 97:1469–1474. 2007. View Article : Google Scholar : PubMed/NCBI | |
Weiner LM, Belldegrun AS, Crawford J, et al: Dose and schedule study of panitumumab monotherapy in patients with advanced solid malignancies. Clin Cancer Res. 14:502–508. 2008. View Article : Google Scholar : PubMed/NCBI | |
Amado RG, Wolf M, Peeters M, et al: Wild-type KRAS is required for panitumumab efficacy in patients with metastatic colorectal cancer. J Clin Oncol. 26:1626–1634. 2008. View Article : Google Scholar : PubMed/NCBI | |
Muro K, Yoshino T, Doi T, et al: A phase 2 clinical trial of panitumumab monotherapy in Japanese patients with metastatic colorectal cancer. Jpn J Clin Oncol. 39:321–326. 2009. View Article : Google Scholar : PubMed/NCBI | |
Lacouture ME, Mitchell EP, Piperdi B, et al: Skin toxicity evaluation protocol with panitumumab (STEPP), a phase II, open-label, randomized trial evaluating the impact of a pre-emptive skin treatment regimen on skin toxicities and quality of life in patients with metastatic colorectal cancer. J Clin Oncol. 28:1351–1357. 2010. View Article : Google Scholar | |
Ochiai T, Sugitani M, Nishimura K, et al: Correlation between 5-fluorouracil (5-FU) sensitivity as measured by collagen gel droplet embedded culture drug sensitivity test (CD-DST) and expression of orotate phosphoribosyl transferase (OPRT), thymidylate synthase (TS), and dihydropyrimidine dehydrogenase (DPD) in colorectal cancer. Gan To Kagaku Ryoho. 28:661–667. 2001.(In Japanese). | |
Ochiai T, Sugitani M, Nishimura K, et al: Prognostic impact of orotate phosphoribosyl transferase (OPRT) activity in resectable colorectal cancers (CRC) treated by 5-FU-based adjuvant chemotherapy. ASCO abstract. J Clin Oncol. 22:35742004.PubMed/NCBI | |
Ochiai1 T, Nishimura K, Noguchi1 H, et al: Prognostic impact of orotate phosphoribosyl transferase among 5-fluorouracil metabolic enzymes in resectable colorectal cancers treated by oral 5-fluorouracil-based adjuvant chemotherapy. Int J Cancer. 118:3084–3088. 2006. View Article : Google Scholar | |
Kinoshita M, Kodera Y, Hibi K, et al: Gene expression profile of 5-fluorouracil metabolic enzymes in primary colorectal cancer: potential as predictive parameters for response to fluorouracil-based chemotherapy. Anticancer Res. 27:851–856. 2007. | |
Tokunaga Y, Sasaki H and Saito T: Clinical role of orotate phosphoribosyl transferase and dihydropyrimidine dehydrogenase in colorectal cancer treated with postoperative fluoropyrimidine. Surgery. 141:346–353. 2007. View Article : Google Scholar | |
Ishikawa M, Miyauchi T and Kashiwagi Y: Clinical implications of thymidylate synthetase, dihydropyrimidine dehydrogenase and orotate phosphoribosyl transferase activity levels in colorectal carcinoma following radical resection and administration of adjuvant 5-FU chemotherapy. BMC Cancer. 8:1882008. View Article : Google Scholar | |
Yamada H, Iinuma H and Watanabe T: Prognostic value of 5-fluorouracil metabolic enzyme genes in Dukes’ stage B and C colorectal cancer patients treated with oral 5-fluorouracil-based adjuvant chemotherapy. Oncol Rep. 19:729–735. 2008.PubMed/NCBI | |
Koopman M, Venderbosch S, van Tinteren H, et al: Predictive and prognostic markers for the outcome of chemotherapy in advanced colorectal cancer, a retrospective analysis of the phase III randomised CAIRO study. Eur J Cancer. 45:1999–2006. 2009. View Article : Google Scholar : PubMed/NCBI | |
Koizumi W, Tanabe S, Azuma M, et al: Impacts of fluorouracil-metabolizing enzymes on the outcomes of patients treated with S-1 alone or S-1 plus cisplatin for first-line treatment of advanced gastric cancer. Int J Cancer. 126:162–170. 2010. View Article : Google Scholar : PubMed/NCBI | |
Jeung HC, Rha SY, Shin SJ, et al: Predictive values of 5-fluorouracil pathway genes for S-1 treatment in patients with advanced gastric cancer. Anticancer Drugs. 22:801–810. 2011. View Article : Google Scholar : PubMed/NCBI | |
Laskin JD, Evans RM, Slocum HK, Burke D and Hakala MT: Basis for natural variation in sensitivity to 5-fluorouracil in mouse and human cells in culture. Cancer Res. 39:383–390. 1979.PubMed/NCBI | |
Diasio RB, Beavers TL and Carpenter JT: Familial deficiency of dihydropyridine dehydrogenase: Biochemical basis for familial pyrrimidinemia and severe 5-fluorouracil- induced toxicity. J Clin Invest. 81:47–51. 1988. View Article : Google Scholar : PubMed/NCBI | |
Harris BE, Song R, Soong SJ and Diasio RB: Relationship between dihydropyrimidine dehydrogenase activity and plasma 5-fluorouracil levels with evidence for circadian variation of enzyme activity and plasma drug levels in cancer patients receiving 5-fluorouracil by protracted continuous infusion. Cancer Res. 50:197–201. 1990. | |
Miller RG and Siegmund D: Maximally selected Chi square statistics. Biometrics. 38:1011–1016. 1982. View Article : Google Scholar | |
Halpern J: Maximally selected Chi square statistics for small samples. Biometrics. 38:1017–1023. 1982. View Article : Google Scholar | |
Yamada Y, Takahari D, Matsumoto H, et al: Leucovorin, fluorouracil, and oxaliplatin plus bevacizumab versus S-1 and oxaliplatin plus bevacizumab in patients with metastatic colorectal cancer (SOFT): an open-label, non-inferiority, randomised phase 3 trial. Lancet Oncol. 14:1278–1286. 2013. View Article : Google Scholar | |
Hong YS, Park YS, Lim HY, et al: S-1 plus oxaliplatin versus capecitabine plus oxaliplatin for first-line treatment of patients with metastatic colorectal cancer: a randomised, non-inferiority phase 3 trial. Lancet Oncol. 13:1125–1132. 2012. View Article : Google Scholar : PubMed/NCBI | |
Mochizuki I, Takiuchi H, Ikejiri K, Nakamoto Y, et al: Safety of UFT/LV and S-1 as adjuvant therapy for stage III colon cancer in phase III trial: ACTS-CC trial. Br J Cancer. 106:1268–1273. 2012. View Article : Google Scholar : PubMed/NCBI | |
Orimo A, Gupta PB, Sgroi DC, et al: Stromal fibroblasts present in invasive human breast carcinomas promote tumor growth and angiogenesis through elevated SDF-1/CXCL12 secretion. Cell. 121:335–348. 2005. View Article : Google Scholar : PubMed/NCBI | |
Stuelten CH, DaCosta Byfield SD, Arany PR, et al: Breast cancer cells induce stromal fibroblasts to express MMP-9 via secretion of TNF-alpha and TGF-beta. J Cell Sci. 118:2143–2153. 2005. View Article : Google Scholar : PubMed/NCBI | |
Gaggioli C, Hooper S, Hidalgo-Carcedo C, et al: Fibroblast-led collective invasion of carcinoma cells with differing roles for RhoGTPases in leading and following cells. Nat Cell Biol. 9:1392–1400. 2007. View Article : Google Scholar : PubMed/NCBI | |
Allavena P, Sica A, Solinas G, Porta C and Mantovani A: The inflammatory micro-environment in tumor progression: the role of tumor-associated macrophages. Crit Rev Oncol Hematol. 66:1–9. 2008. View Article : Google Scholar : PubMed/NCBI | |
Ricci-Vitiani L, Pallini R, Biffoni M, et al: Tumour vascularization via endothelial differentiation of glioblastoma stem-like cells. Nature. 468:824–828. 2010. View Article : Google Scholar : PubMed/NCBI | |
Erreni M, Mantovani A and Allavena P: Tumor-associated macrophages (TAM) and inflammation in colorectal cancer. Cancer Microenviron. 4:141–154. 2011. View Article : Google Scholar : PubMed/NCBI | |
Hoshino A, Ishii G, Ito T, et al: Podoplanin-positive fibroblasts enhance lung adenocarcinoma tumor formation: podoplanin in fibroblast functions for tumor progression. Cancer Res. 71:4769–4779. 2011. View Article : Google Scholar : PubMed/NCBI | |
Nagano H, Ichikawa W, Simizu M, et al: Thymidylate synthase and dihydropyrimidine dehydrogenase gene expression in colorectal cancer using the Danenberg tumor profile method. Gan To Kagaku Ryoho. 31:889–892. 2004.(In Japanese). |