Literature DB >> 29487697

DPYD and UGT1A1 genotyping to predict adverse events during first-line FOLFIRI or FOLFOXIRI plus bevacizumab in metastatic colorectal cancer.

Chiara Cremolini1, Marzia Del Re2, Carlotta Antoniotti1, Sara Lonardi3, Francesca Bergamo3, Fotios Loupakis1, Beatrice Borelli1, Federica Marmorino1, Valentina Citi2, Enrico Cortesi4, Roberto Moretto1, Monica Ronzoni5, Gianluca Tomasello6, Alberto Zaniboni7, Patrizia Racca8, Angela Buonadonna9, Giacomo Allegrini10, Vincenzo Ricci11, Samantha Di Donato12, Vittorina Zagonel3, Luca Boni13, Alfredo Falcone1, Romano Danesi2.   

Abstract

Our study addresses the issue of the clinical reliability of three candidate DPYD and one UGT single nucleotide polymorphisms in predicting 5-fluorouracil- and irinotecan-related adverse events. To this purpose, we took advantage of a large cohort of metastatic colorectal cancer patients treated with first-line 5-fluorouracil- and irinotecan-based chemotherapy regimens (i.e., FOLFIRI or FOLFOXIRI) plus bevacizumab in the randomized clinical trial TRIBE by GONO (clinicaltrials.gov: NCT00719797), in which adverse events were carefully and prospectively collected at each treatment cycle. Here we show that patients bearing DPYD c.1905+1G/A and c.2846A/T genotypes, together with UGT1A1*28 variant carriers, have an increased risk of experiencing clinically relevant toxicities, including hematological AEs and stomatitis. No carrier of the DPYD c.1679T>G minor allele was identified. Present results support the preemptive screening of mentioned DPYD and UGT1A1 variants to identify patients at risk of clinically relevant 5-fluoruracil- and irinotecan-related AEs, in order to improve treatments' safety through a "genotype-guided" approach.

Entities:  

Keywords:  5-fluorouracil; DPYD; UGT1A1; irinotecan; toxicity

Year:  2017        PMID: 29487697      PMCID: PMC5814264          DOI: 10.18632/oncotarget.23559

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

5-fluorouracil (5-FU) and irinotecan, together with oxaliplatin, are the milestones of the first-line treatment of metastatic colorectal cancer (mCRC) [1]. Around 35–50% of patients treated with combination regimens including 5-FU and irinotecan experience unpredictable and sometimes clinically relevant treatment-related toxicities, mainly diarrhea, stomatitis and myelosuppression [2, 3]. Based on efficacy results of recent randomized trials [3-6], FOLFOXIRI (5-FU, oxaliplatin and irinotecan) plus bevacizumab is now recommended by all major guidelines as upfront regimen for selected mCRC patients [7, 8]. Although feasible, its use is associated with increased grade 3/4 neutropenia, diarrhea and stomatitis, so that tools able to predict the probability to develop potentially severe toxicities would be of major interest in order to better select candidate patients and to properly manage the treatment. A substantial interindividual difference in the occurrence and/or seriousness of 5-FU- and irinotecan-related toxicities may be partially due to clinical factors, including age, sex and performance status [9]. Nonetheless, variability in individuals’ drug-metabolism may contribute as well [10, 11]. Indeed, deficiencies in two key enzymes involved in the first steps of the catabolic pathways of these two drugs, dihydropyrimidine dehydrogenase (DPD) and uridine diphosphate glucuronosyltransferases (UGT) 1A1 [12, 13], lead to increased exposure to the cytotoxic agents and their active metabolites with higher risk of related adverse events (AEs). Most cases of DPD and UGT1A1 deficiency are attributable to germline polymorphisms in their encoding genes, leading to partially non-functional enzymes [10, 14]. Among more than 50 described allelic variants of DPYD [15], only a few of them have clinical relevance, resulting in the synthesis of non-functional or poorly functional enzymes, and thus exposing patients to an increased risk of 5-FU-related AEs [16]. To date, three DPYD variants, clearly affecting DPD activity, have been suggested with the highest level of evidence as predictors of severe toxicity from 5-FU: DPYD*2A (IVS14+1G>A, c.1905+1G>A or rs3918290), DPYD p.D949V (c.2846A>T or rs67376798) and DPYD*13 (p.I560S, c.1679T>G or rs55886062) [17-20]. All three variants have very low estimated frequencies of minor alleles in the Caucasian population (0.1 to 1.0%) [16, 17]. A variable number of TA repeats in the promoter region of UGT1A1 affects its transcriptional efficiency [21, 22]. In particular, when compared with the wild-type six-repeat allele (UGT1A1*1), the seven-repeat variant (UGT1A1*28) is responsible for a dramatically reduced expression of UGT1A1, resulting in poor metabolism of the SN38 active metabolite of irinotecan and increased neutropenia and, to a lesser extent, diarrhea [13, 23]. The present study has been conceived with the purpose to evaluate the individual association of three DPYD single nucleotide polymorphisms (SNPs), whose relation with 5-FU-related toxicity is more robust [17], and of UGT1A1*28 variant with chemotherapy-related AEs experienced by patients treated with first-line FOLFOXIRI plus bevacizumab or FOLFIRI plus bevacizumab in the phase III TRIBE trial.

RESULTS

Four hundred and forty-three (87%) out of 508 randomized patients were tested for DPYD and UGT1A1 variants, and defined as “pharmacogenetic assessable population”. All patients received study treatments at planned dosages and, in the case of pre-specified AEs, treatment modifications were allowed according to study protocol. Main demographic and clinical characteristics at baseline did not differ between the pharmacogenetic assessable and the intention-to-treat population (Supplementary Table 1), as well as the incidence of treatment-related grade ≥ 3 AEs (Supplementary Table 2) [3]. In the pharmacogenetic assessable population, 225 patients (51%) experienced any grade ≥3 AE (overall AEs), with 102 (23%) and 170 (38%) patients reporting grade ≥3 gastrointestinal and hematological AEs, respectively. Most frequent chemotherapy-related toxicities included neutropenia (37%), diarrhea (15%), febrile neutropenia (8%) and stomatitis (7%). Among investigated clinical characteristics, age, sex and treatment arm had a significant impact on the occurrence of grade 3 or greater treatment-related overall AEs in univariate analysis. Associations between clinical variables and AEs are shown in Table 1. Female gender and, to a lesser extent, worst ECOG performance status (PS) and older age were associated with a higher risk of grade ≥ 3 overall gastrointestinal AEs. As expected, patients in the FOLFOXIRI plus bevacizumab arm experienced more frequently grade ≥ 3 neutropenia, overall gastrointestinal and hematological AEs.
Table 1

Association of relevant clinical variables with grade ≥ 3 AEs

Grade ≥ 3 AEsAgeaSex (Male/Female)bTreatment armcECOG PSd
OR (95% CI)P valueOR (95% CI)P valueOR (95% CI)P valueOR (95% CI)P value
Nausea1.08 (0.74–1.58)0.523.93 (1.21–12.74)0.020.96 (0.33–2.78)0.945.23 (1.67–16.35)0.004
Vomit1.14 (0.81–1.59)0.453.16 (1.16–8.58)0.021.21 (0.47–3.12)0.693.58 (1.22–10.56)0.02
Diarrhea1.32 (1.09–1.60)0.0051.31 (0.77–2.21)0.321.58 (0.93–2.69)0.091.44 (0.66–3.15)0.36
Stomatitis1.14 (0.88–1.49)0.323.27 (1.49–7.17)0.0032.01 (0.92–4.40)0.081.35 (0.45–4.06)0.59
Neutropenia1.11b (0.97–1.28)0.141.58 (1.07–2.35)0.023.44 (2.28–5.19)< 0.0010.58 (0.29–1.15)0.12
Febrile neutropenia1.01 (0.79–1.29)0.921.47 (0.73–2.93)0.281.15 (0.58–2.31)0.691.12 (0.38–3.32)0.84
Thrombocytopenia1.24 (0.69–2.22)0.470.75 (0.14–4.14)0.7412.82 (0.71–230.54)0.081.73 (0.20–15.17)0.62
Anemia3.09 (1.16–8.18)0.023.06 (0.55–16.88)0.2012.82 (0.71–230.54)0.080.65 (0.04–11.97)0.77
Overall gastrointestinal AEse1.27 (1.08–1.49)0.0042.00 (1.28–3.13)0.0021.59 (1.01–2.49)0.041.92 (1.00–3.68)0.05
Overall hematological AEsf1.11 (0.97–1.27)0.141.72 (1.16–2.54)0.0073.42 (2.27–5.13)< 0.0010.60 (0.31–1.18)0.14
Overall AEsg1.19 (1.04–1.36)0.011.89 (1.28–2.78)0.0012.80 (1.90–4.11)< 0.0010.97 (0.52–1.78)0.91

Abbreviations: OR, odds ratio; ECOG PS, Eastern Cooperative Oncology Group Performance Status.

areported ORs refer to a quintile increase of the predictor variable; breported ORs refer to female vs male; c: reported ORs refer to arm receiving FOLFOXIRI plus bevacizumab vs arm receiving FOLFIRI plus bevacizumab; dreported ORs refer to ECOG PS 1-2 vs 0; eincluding nausea, vomit, diarrhea, stomatitis; fincluding neutropenia, febrile neutropenia, thrombocytopenia, anemia; gincluding neutropenia, febrile neutropenia, thrombocytopenia, anemia, nausea, vomit, diarrhea, stomatitis. P values in bold indicate statistical significance.

Abbreviations: OR, odds ratio; ECOG PS, Eastern Cooperative Oncology Group Performance Status. areported ORs refer to a quintile increase of the predictor variable; breported ORs refer to female vs male; c: reported ORs refer to arm receiving FOLFOXIRI plus bevacizumab vs arm receiving FOLFIRI plus bevacizumab; dreported ORs refer to ECOG PS 1-2 vs 0; eincluding nausea, vomit, diarrhea, stomatitis; fincluding neutropenia, febrile neutropenia, thrombocytopenia, anemia; gincluding neutropenia, febrile neutropenia, thrombocytopenia, anemia, nausea, vomit, diarrhea, stomatitis. P values in bold indicate statistical significance. Four hundred and thirty-nine (99%) out of 443 patients were successfully genotyped for investigated DPYD variants (DPYD c.1905+1G>A; DPYD c.2846A>T; DPYD c.1679T>G) and 436 (98%) for UGT1A1*28 variant (Table 2).
Table 2

DPYD and UGT1A1 genotypes frequency in the pharmacogenetic assessable population

Variants genotypedTreatment armPharmacogenetic assessable population No. (%) n = 443
Arm A FOLFIRI+bev< No. (%) n = 217Arm B FOLFOXIRI+bev No. (%) n = 226
DPYD c.1905+1G>A
G/G213 (99.1%)222 (98.7%)435 (98.9%)
G/A2 (0.9%)3 (1.3%)5 (1.1%)
A/A000
NE213
DPYD c.2846A>T
A/A213 (99.1%)222 (98.7%)435 (98.9%)
A/T2 (0.9%)3 (1.3%)5 (1.1%)
T/T000
NE213
DPYD c.1679T>G
T/T215 (100%)225 (100%)440 (100%)
T/G000
G/G000
NE213
UGT1A1*28
*1/*174 (34.7%)72 (32.4%)146 (33.5%)
*1/*28119 (55.9%)132 (59.5%)251 (57.6%)
*28/*2820 (9.4%)19 (8.6%)39 (8.9%)
NE437

FOLFIRI: fluorouracil, leucovorin, and irinotecan; FOLFOXIRI: fluorouracil, leucovorin, oxaliplatin and irinotecan; bev: bevacizumab; NE: not evaluable.

FOLFIRI: fluorouracil, leucovorin, and irinotecan; FOLFOXIRI: fluorouracil, leucovorin, oxaliplatin and irinotecan; bev: bevacizumab; NE: not evaluable. Among patients genotyped for DPYD variants, minor alleles for DPYD c.1905+1G>A and DPYD c.2846 A>T were found only in heterozygosis in 5 (1.1%) and 5 (1.1%) patients, respectively; no carriers of DPYD c.1679T>G minor allele were identified (Table 2). Allele frequencies for DPYD c.1905+1G>A, DPYD c.2846A>T and DPYD c.1679T>G were consistent with published data [16, 24] and were in Hardy-Weinberg equilibrium (χ2 test p value: 0.90). Out of 436 patients genotyped for UGT1A1, *1/*1, *1/*28 and *28/*28 genotypes were detected in 146 (33.5%), 251 (57.6%) and 39 (8.9%) cases, respectively (Table 2). Additionally, as detailed in Supplementary Figure 1, seven patients showed the concomitant presence of DPYD and UGT1A1*28 minor variants. In particular, DPYD c.1905+1G/A variant was concomitantly found with UGT1A1 *1/*28 genotype in three patients, and DPYD c.2846A/T was associated with UGT1A1 *1/*28 and *28/*28 in three and one patient, respectively. Eight (80%) out of 10 DPYD c.1905+1G/A (n = 5) or DPYD c.2846A/T (n = 5) carriers experienced at least one grade ≥ 3 AE during the treatment. Seven (70%) out of 10 patients bearing a DPYD variant allele had a grade ≥ 3 AE within the first four cycles of induction therapy (Supplementary Table 3) as compared to 166 (39%) out of 429 patients bearing DPYD c.1905+1G/G and DPYD c.2846A/A genotypes (P = 0.055). Most frequent AEs were neutropenia (70%), stomatitis (40%), diarrhea and febrile neutropenia (20%), and thrombocytopenia (10%). Significant associations were identified between both DPYD c.1905+1G/A (OR, 9.69 [95% CI, 1.56–60.39]; P = 0.02) and DPYD c.2846A/T (OR, 9.69 [95% CI, 1.56–60.39]; P = 0.02) variants and grade ≥3 stomatitis (Supplementary Table 4) and between DPYD c.1905+1G/A and grade ≥ 3 thrombocytopenia (OR, 21.50 [95% CI, 2.02–228.16]; P = 0.01). In the multivariate model, including age, sex, treatment arm and ECOG PS, both DPYD c.1905+1G/A (OR, 17.32 [95% CI, 2.50–120.12]; P = 0.004) and DPYD c.2846A/T (OR, 14.11 [95% CI, 2.01–99.29]; P = 0.008) variants retained their association with grade ≥ 3 stomatitis; the association between DPYD c.1905+1G/A and thrombocytopenia was also confirmed (OR, 62.81 [95% CI, 4.41–895.12]; P = 0.002) (Table 3). Furthermore, at the multivariate analysis, DPYD c.1905+1G/A was significantly associated with a higher risk of anemia (OR, 41.26 [95% CI, 1.74–903.61]; P = 0.04) (Table 3).
Table 3

Multivariate analysis adjusted for age, sex, treatment arm and ECOG PS, testing association hypotheses of DPYD c.1905+1G>A and DPYD c.2846A>T genotypes with AEs

Grade ≥ 3 AEsDPYD c.1905+1G>AdDPYD c.2846A>TeDPYD c.1905+1G>A and DPYD c.2846A>Tf
OR [95% CI]P valueOR [95% CI]P valueOR [95% CI]P value
Nausea5.05 [0.20–128.63]0.333.93 [0.15–104.06]0.412.35 [0.12–46.78]0.58
Vomit3.51 [0.14–88.02]0.442.60 [0.10–68.13]0.571.58 [0.08–31.42]0.77
Diarrhea0.69 [0.03–16.63]0.824.03 [0.65–25.12]0.141.91 [0.42–8.79]0.40
Stomatitis17.32 [2.50–120.12]0.00414.11 [2.01–99.29]0.00816.95 [3.97–72.34]< 0.001
Neutropenia6.23 [0.75–51.52]0.092.42 [0.37–15.95]0.364.14 [1.01–16.95]0.05
Febrile neutropenia4.18 [0.53–33.22]0.184.09 [0.52–32.33]0.183.83 [0.83–17.72]0.09
Thrombocytopenia62.81 [4.41–895.12]0.0025.23 [0.20–138.80]0.3216.17 [1.93–135.85]0.01
Anemia41.26 [1.74–903.61]0.044.96 [0.13–193.65]0.394.81 [0.17–137.96]0.36
Overall3.67 [0.60–22.68]0.165.52 [0.87–34.89]0.074.59 [1.25–16.84]0.02
gastrointestinal AEsa Overall5.96 [0.72–49.43]0.102.31 [0.35–15.29]0.393.98 [0.97–16.33]0.05
hematological AEsb Overall AEsc3.65 [0.46–28.94]0.223.12 [0.38–25.49]0.293.89 [0.85–17.90]0.08

AEs, adverse events; OR, odds ratio. a: including nausea, vomit, diarrhea, stomatitis; b: including neutropenia, febrile neutropenia, thrombocytopenia, anemia.; c: including neutropenia, febrile neutropenia, thrombocytopenia, anemia, nausea, vomit, diarrhea, stomatitis; d: reported ORs refer to DPYD c.1905+1G/A vs DPYD c.1905+1G/G carriers; e: reported ORs refer to DPYD c.2846A/T vs DPYD c.2846A/A carriers; f: reported ORs refer to DPYD c.1905+1G/A or DPYD c.2846A/T vs DPYD c.1905+1G/G and DPYD c.2846A/A carriers. P values in bold indicate statistical significance.

AEs, adverse events; OR, odds ratio. a: including nausea, vomit, diarrhea, stomatitis; b: including neutropenia, febrile neutropenia, thrombocytopenia, anemia.; c: including neutropenia, febrile neutropenia, thrombocytopenia, anemia, nausea, vomit, diarrhea, stomatitis; d: reported ORs refer to DPYD c.1905+1G/A vs DPYD c.1905+1G/G carriers; e: reported ORs refer to DPYD c.2846A/T vs DPYD c.2846A/A carriers; f: reported ORs refer to DPYD c.1905+1G/A or DPYD c.2846A/T vs DPYD c.1905+1G/G and DPYD c.2846A/A carriers. P values in bold indicate statistical significance. Patients bearing DPYD c.1905+1G/A or DPYD c.2846A/T variants (n = 10) had an increased risk of experiencing grade ≥ 3 overall hematological AEs (OR, 3.88 [95% CI, 0.99–15.23]; P = 0.05), neutropenia (OR, 4.12 [95% CI, 1.05–16.17]; P = 0.04), thrombocytopenia (OR, 9.42 [95% CI, 1.00–89.06]; P = 0.05) and stomatitis (OR, 10.33 [95% CI, 2.74–38.91]; P < 0.001), as compared to patients bearing DPYD c.1905+1G/G and DPYD c.2846A/A genotypes (n = 429) (Supplementary Table 4). These associations were confirmed in the multivariate analysis, where increased risk of developing overall gastrointestinal AEs was also reported (OR, 4.59 [95% CI, 1.25–16.84]; P = 0.02) (Table 3). Among patients carrying UGT1A1*1/*28 or UGT1A1*28/*28 genotype, the incidence of grade ≥3 overall AEs was 136/251 (54%) and 24/39 (62%), respectively. Patients bearing UGT1A1*28/*28 genotype experienced more frequently a grade ≥ 3 AE within the first four cycles of induction therapy (22 out of 39, 56.4%) as compared to those carrying UGT1A1*1/*28 (108 out of 251, 43.0%) and UGT1A1*1/*1 genotypes (43 out of 146, 29.5%) (P = 0.002). As shown in Supplementary Table 5, a significant association was found between UGT1A1 variants and neutropenia (P = 0.001) with higher risk for UGT1A1*28/*28 (OR, 3.75 [95% CI, 1.80–7.80]) than UGT1A1*1/*28 variants (OR, 1.66 [95% CI, 1.07–2.59]), both compared with the UGT1A1*1/*1 group. Consistent results were reported in the multivariable model (P = 0.001). UGT1A1 variants were also associated with the overall risk of developing hematological and overall AEs, both in the uni- and multivariable models. Patients carriers of DPYD c.1905+1G/A or DPYD c.2846A/T and/or UGT1A1*28/*28 genotypes (n = 48) had a higher risk of experiencing grade ≥ 3 overall AEs (OR, 1.89 [95% CI, 1.01–3.53]; P = 0.05), overall hematological AEs (OR, 2.79 [95% CI, 1.51–5.15]; P = 0.001), stomatitis (OR, 3.32 [95% CI, 1.39–7.94]; P = 0.007), neutropenia (OR, 2.98 [95% CI, 1.61–5.52]; P< 0.001) and febrile neutropenia (OR, 2.78 [95% CI, 1.18–6.54]; P = 0.02), compared to patients bearing DPYD c.1905+1G/G and DPYD c.2846A/A and UGT1A1*1/− genotypes (n = 387) (Supplementary Table 6). These associations were confirmed in the multivariable models (Supplementary Table 6). The sensitivity and specificity of the combined evaluation of DPYD and UGT1A1 genotypes as predictor of overall grade ≥ 3 AEs were 14% and 92%, respectively.

DISCUSSION

In the last few years, a growing amount of mainly retrospective data suggested the role of DPYD and UGT1A1 variants as potential risk factors for toxicities in patients treated with fluoropyrimidines (i.e., 5-FU and capecitabine) and irinotecan, respectively [19, 23]. Nevertheless, since the current guidelines do not provide a firm consensus on the clinical validity of pretreatment DPYD and UGT1A1 screening [7, 8], the implementation of these pharmacogenetic tests in the daily clinical practice remains a highly debated issue, especially regarding DPYD genotyping [25, 26]. The lack of evidence from prospective studies, together with some inconsistent results from retrospective series, in particular about DPYD, slowed a widespread consensus on these tests and the definition of conclusive recommendations on the implementation in the clinical practice of a “genotype-guided” dosing of cytotoxic agents. Recently, this controversy acquired growing remark in the precision medicine scenario, and in the perspective of individualizing therapies and improving patients’ safety and clinical benefit. Indeed, the preventive identification of patients deemed at risk of developing clinically relevant 5-FU- and irinotecan-related AEs, able to heavily affect treatment feasibility, may represent a useful and rationale tool to drive the therapeutic decision-making process, as well as treatment management. In the present work, we genotyped three DPYD and one UGT1A1 variants in a large cohort of mCRC patients enrolled in the phase III TRIBE trial. With regard to DPYD, we focused on three SNPs whose relation with 5-FU-related toxicities is more robust [17], as recommended by a position paper shared by the Italian societies of Medical Oncology and Pharmacology (AIOM-SIF Working Group) [27]. In our opinion, the main strength point of this analysis lies in the availability of a large cohort of patients enrolled in a clinical trial with homogeneous baseline characteristics, including type of cancer, stage of disease, and line of treatment, and with a careful and uniform assessment of treatment-related AEs, performed at every cycle of therapy and graded according to NCI-CTCAE, version 3.0. Through the analysis of 443 patients from TRIBE trial, we identified statistically significant associations between DPYD c.1905+1G/A and DPYD c.2846A/T genotypes and grade ≥ 3 hematological AEs and stomatitis, and between UGT1A1*28 variant and grade ≥ 3 hematological AEs, in particular neutropenia, regardless of the treatment arm. We were unable to assess any relation between DPYD c.1679T>G and 5-FU-related AEs, because none of our patients harbored a G allele, consistently with its low minor allele frequency (around 0.1% among Caucasians) [16]. In addition, we showed that taking into account both DPYD and UGT1A1 genotypes allows predicting with high specificity grade ≥ 3 hematological AEs, including febrile neutropenia, and stomatitis. Furthermore, in DPYD and UGT1A1 variant allele carriers we observed that grade ≥ 3 AEs occurred more frequently early during the treatment, within the first four cycles of therapy. These events were often clinically relevant, requiring dose modifications and/or delays in therapy administration as well as preventing treatment continuation in more serious cases. In order to prevent the occurrence of treatment-related AEs in patients known to be carriers of DPYD or UGT1A1*28 variants, some reports recommended to adopt a reduced starting dose of 5-FU and irinotecan, respectively, to be then increased based on reported toxicities, while not affecting treatment efficacy [17, 28–32]. The proposed practical approach may be of crucial interest for an optimal and proper management of fluoropyrimidine- and irinotecan-based regimens (i.e., FOLFOXIRI, FOLFIRI, XELIRI), supposing that the personalization of treatment starting doses according to DPYD and UGT1A1 genotypes might contribute to decrease the incidence of some preventable AEs. The lack of planned DPYD and UGT1A1 genotype-guided dose modifications in the TRIBE study clearly prevents us from deriving definitive conclusions about the effectiveness of the dose titration approach in reducing the incidence of AEs and improving treatment adherence, while not compromising its efficacy. A potential contribution to fluoropyrimidines toxicity has been recently hypothesized for other DPYD variants, including c.2194G>A [20, 22]. However, the association of these variants with toxicity has not been consistently replicated in different series [33-35], so that prospective and well-powered studies able to further validate this association are urgently needed. In conclusion, based on present results and consistent with literature data, our work supports the upfront test of DPYD c.1905+1G>A and c.2846A>T and UGT1A1*28 variants for the assessment of the risk of AEs in all mCRC patients candidate to first-line 5-FU- and irinotecan-containing regimens.

MATERIALS AND METHODS

Patients

TRIBE (TRIplet plus BEvacizumab) was a multicenter, randomized, phase III trial conducted by the Italian Cooperative GONO (Gruppo Oncologico Nord Ovest) group (NCT00719797). Five-hundred and eight unresectable mCRC patients, untreated for the metastatic disease were randomized to receive either FOLFOXIRI plus bevacizumab or FOLFIRI plus bevacizumab as initial treatment. Patients received up to 12 cycles of induction treatment according to randomization, followed by maintenance therapy with 5-FU and bevacizumab until evidence of disease progression in both arms. Full details of the TRIBE study have been previously published [3]. The emergence of AEs was biweekly monitored and graded according to National Cancer Institute-Common Toxicity Criteria for Adverse Events (NCI-CTCAE), version 3.0 [36]. Patients enrolled in the TRIBE trial, included in the safety population (i.e., who had received at least one cycle of the assigned study treatment), providing their written informed consent to blood sampling and pharmacogenetic analyses were evaluated. The protocol was approved by local Ethics Committees at each participating site.

Genotyping

One ml of whole blood were taken from all patients, stored in EDTA, and genomic DNA was extracted from 200 μl by the Biorobot EZ1 (Qiagen®, Valencia, CA, USA). The DPYD and UGT1A1 variants were analysed by pyrosequencing method. DNA was amplified using the “Fluoropyrimidines response” and “Irinotecan response” kit (Diatech Pharmacogenomics®, Jesi, Italy) on a RotorGene TM6000 (Corbett Research®, Sydney, Australia), according to the manufacturer's instructions. The reaction products were run on a PyroMark Q69 ID system, and the results were analysed on the PyroMark Q24 1.0.9 software (Biotage®, Uppsala, Sweden).

Statistical analysis

The study endpoints were the development of grade ≥ 3 gastrointestinal AEs, including nausea, vomit, diarrhea and stomatitis, and/or hematological AEs, including neutropenia, febrile neutropenia, thrombocytopenia and anemia. Logistic regression modeling was used to test the hypothesis of associations between the genotypes of each DPYD and UGT1A1 polymorphism and the end points. Firth's penalized maximum likelihood estimation was used to avoid modeling separability issues. Associations of tested polymorphisms were assessed using the Wald chi-square test. Using a sample size of 440, associations with an OR equal to 5 for an overall grade 3 or greater toxicity-related allele of 3% could be detected with an α = 0.05 and a power of 0.80. To account for potential confounding factors, multivariate models were used. A set of 4 relevant clinical variables (sex, age, treatment arm and ECOG PS) was used (Table 1). The frequency of each DPYD variant was compared to the published frequencies in dbSNP [15] and tested for departure from Hardy-Weinberg equilibrium. Sensitivity and specificity were calculated for the combined assessment of DPYD and UGT1A1 genotypes. All statistical tests were two-sided and P values of 0.05 or less were considered statistically significant.
  30 in total

1.  Relationship between single nucleotide polymorphisms and haplotypes in DPYD and toxicity and efficacy of capecitabine in advanced colorectal cancer.

Authors:  Maarten J Deenen; Jolien Tol; Artur M Burylo; Valerie D Doodeman; Anthonius de Boer; Andrew Vincent; Henk-Jan Guchelaar; Paul H M Smits; Jos H Beijnen; Cornelis J A Punt; Jan H M Schellens; Annemieke Cats
Journal:  Clin Cancer Res       Date:  2011-04-15       Impact factor: 12.531

2.  Dose-finding and pharmacokinetic study to optimize the dosing of irinotecan according to the UGT1A1 genotype of patients with cancer.

Authors:  Federico Innocenti; Richard L Schilsky; Jacqueline Ramírez; Linda Janisch; Samir Undevia; Larry K House; Soma Das; Kehua Wu; Michelle Turcich; Robert Marsh; Theodore Karrison; Michael L Maitland; Ravi Salgia; Mark J Ratain
Journal:  J Clin Oncol       Date:  2014-06-23       Impact factor: 44.544

3.  Recommendation on testing for dihydropyrimidine dehydrogenase deficiency in the ESMO consensus guidelines for the management of patients with metastatic colorectal cancer.

Authors:  M J Deenen; D Meulendijks
Journal:  Ann Oncol       Date:  2017-01-01       Impact factor: 32.976

4.  Prevention of fluoropyrimidine toxicity: do we still have to try our patient's luck?

Authors:  R Danesi; M Del Re; J Ciccolini; J H M Schellens; M Schwab; R H N van Schaik; A B P van Kuilenburg
Journal:  Ann Oncol       Date:  2017-01-01       Impact factor: 32.976

Review 5.  Improving safety of fluoropyrimidine chemotherapy by individualizing treatment based on dihydropyrimidine dehydrogenase activity - Ready for clinical practice?

Authors:  Didier Meulendijks; Annemieke Cats; Jos H Beijnen; Jan H M Schellens
Journal:  Cancer Treat Rev       Date:  2016-08-13       Impact factor: 12.111

6.  Beating the odds: efficacy and toxicity of dihydropyrimidine dehydrogenase-driven adaptive dosing of 5-FU in patients with digestive cancer.

Authors:  Manon Launay; Laetitia Dahan; Manon Duval; Anne Rodallec; Gérard Milano; Muriel Duluc; Bruno Lacarelle; Joseph Ciccolini; Jean-Francois Seitz
Journal:  Br J Clin Pharmacol       Date:  2015-11-28       Impact factor: 4.335

7.  Age and sex are independent predictors of 5-fluorouracil toxicity. Analysis of a large scale phase III trial.

Authors:  B N Stein; N J Petrelli; H O Douglass; D L Driscoll; G Arcangeli; N J Meropol
Journal:  Cancer       Date:  1995-01-01       Impact factor: 6.860

8.  Racial variability in the UDP-glucuronosyltransferase 1 (UGT1A1) promoter: a balanced polymorphism for regulation of bilirubin metabolism?

Authors:  E Beutler; T Gelbart; A Demina
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-07       Impact factor: 11.205

9.  Bevacizumab plus mFOLFOX-6 or FOLFOXIRI in patients with initially unresectable liver metastases from colorectal cancer: the OLIVIA multinational randomised phase II trial.

Authors:  T Gruenberger; J Bridgewater; I Chau; P García Alfonso; M Rivoire; S Mudan; S Lasserre; F Hermann; D Waterkamp; R Adam
Journal:  Ann Oncol       Date:  2014-12-23       Impact factor: 32.976

Review 10.  Genetic markers of toxicity from capecitabine and other fluorouracil-based regimens: investigation in the QUASAR2 study, systematic review, and meta-analysis.

Authors:  Dan Rosmarin; Claire Palles; David Church; Enric Domingo; Angela Jones; Elaine Johnstone; Haitao Wang; Sharon Love; Patrick Julier; Claire Scudder; George Nicholson; Anna Gonzalez-Neira; Miguel Martin; Daniel Sargent; Erin Green; Howard McLeod; Ulrich M Zanger; Matthias Schwab; Michael Braun; Matthew Seymour; Lindsay Thompson; Benjamin Lacas; Valérie Boige; Nuria Ribelles; Shoaib Afzal; Henrik Enghusen; Søren Astrup Jensen; Marie-Christine Etienne-Grimaldi; Gérard Milano; Mia Wadelius; Bengt Glimelius; Hans Garmo; Milena Gusella; Thierry Lecomte; Pierre Laurent-Puig; Eva Martinez-Balibrea; Rohini Sharma; Jesus Garcia-Foncillas; Zdenek Kleibl; Alain Morel; Jean-Pierre Pignon; Rachel Midgley; David Kerr; Ian Tomlinson
Journal:  J Clin Oncol       Date:  2014-03-03       Impact factor: 50.717

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  11 in total

Review 1.  DPYD Genotyping in Patients Who Have Planned Cancer Treatment With Fluoropyrimidines: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2021-08-12

2.  Implementing Pharmacogenetic Testing in Gastrointestinal Cancers (IMPACT-GI): Study Protocol for a Pragmatic Implementation Trial for Establishing DPYD and UGT1A1 Screening to Guide Chemotherapy Dosing.

Authors:  Lisa A Varughese; Madhuri Bhupathiraju; Glenda Hoffecker; Shannon Terek; Margaret Harr; Hakon Hakonarson; Christine Cambareri; Jessica Marini; Jeffrey Landgraf; Jinbo Chen; Genevieve Kanter; Kelsey S Lau-Min; Ryan C Massa; Nevena Damjanov; Nandi J Reddy; Randall A Oyer; Ursina R Teitelbaum; Sony Tuteja
Journal:  Front Oncol       Date:  2022-07-05       Impact factor: 5.738

3.  Pathogenic DPYD Variants and Treatment-Related Mortality in Patients Receiving Fluoropyrimidine Chemotherapy: A Systematic Review and Meta-Analysis.

Authors:  Bhavina B Sharma; Karan Rai; Heather Blunt; Wenyan Zhao; Tor D Tosteson; Gabriel A Brooks
Journal:  Oncologist       Date:  2021-09-29       Impact factor: 5.837

4.  Implementing a multidisciplinary approach for older adults with Cancer: geriatric oncology in practice.

Authors:  Carolyn J Presley; Jessica L Krok-Schoen; Sarah A Wall; Anne M Noonan; Desiree C Jones; Edmund Folefac; Nicole Williams; Janine Overcash; Ashley E Rosko
Journal:  BMC Geriatr       Date:  2020-07-06       Impact factor: 3.921

5.  Clinical Value of Pharmacogenomic Testing in a Patient Receiving FOLFIRINOX for Pancreatic Adenocarcinoma.

Authors:  Lisa M Velez-Velez; Caren L Hughes; Pashtoon Murtaza Kasi
Journal:  Front Pharmacol       Date:  2018-11-15       Impact factor: 5.810

6.  Feasibility of Integrating Panel-Based Pharmacogenomics Testing for Chemotherapy and Supportive Care in Patients With Colorectal Cancer.

Authors:  Pashtoon Murtaza Kasi; Tyler Koep; Erica Schnettler; Faisal Shahjehan; Vaishnavi Kamatham; Candice Baldeo; Caren L Hughes
Journal:  Technol Cancer Res Treat       Date:  2019-01-01

7.  DPYD*6 plays an important role in fluoropyrimidine toxicity in addition to DPYD*2A and c.2846A>T: a comprehensive analysis in 1254 patients.

Authors:  Marzia Del Re; Saverio Cinieri; Angela Michelucci; Stefano Salvadori; Fotios Loupakis; Marta Schirripa; Chiara Cremolini; Stefania Crucitta; Cecilia Barbara; Angelo Di Leo; Tiziana Pia Latiano; Filippo Pietrantonio; Samantha Di Donato; Paolo Simi; Alessandro Passardi; Filippo De Braud; Giuseppe Altavilla; Claudio Zamagni; Roberto Bordonaro; Alfredo Butera; Evaristo Maiello; Carmine Pinto; Alfredo Falcone; Valentina Mazzotti; Riccardo Morganti; Romano Danesi
Journal:  Pharmacogenomics J       Date:  2019-02-06       Impact factor: 3.550

Review 8.  Personalized medicine in colorectal cancer.

Authors:  Padina Vaseghi Maghvan; Shabnam Jeibouei; Mohammad Esmael Akbari; Vahid Niazi; Farshid Karami; Alireza Rezvani; Nafiseh Ansarinejad; Masroor Abbasinia; Gisoo Sarvari; Hakimeh Zali; Ramin Talaie
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2020

Review 9.  Colorectal Cancer Biomarkers in the Era of Personalized Medicine.

Authors:  Jai N Patel; Mei Ka Fong; Megan Jagosky
Journal:  J Pers Med       Date:  2019-01-14

10.  FOLFOXIRI vs FOLFIRINOX as first-line chemotherapy in patients with advanced pancreatic cancer: A population-based cohort study.

Authors:  Angélique Vienot; Hortense Chevalier; Clément Bolognini; Elisabeta Gherga; Elodie Klajer; Aurélia Meurisse; Marine Jary; Stefano Kim; Christelle d'Engremont; Thierry Nguyen; Fabien Calcagno; Hamadi Almotlak; Francine Fein; Meher Nasri; Syrine Abdeljaoued; Anthony Turpin; Christophe Borg; Dewi Vernerey
Journal:  World J Gastrointest Oncol       Date:  2020-03-15
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