Abstract
Purpose
Capecitabine is important in breast cancer treatment but causes diarrhea and hand-foot syndrome (HFS), affecting adherence and quality of life. We sought to identify pharmacogenomic predictors of capecitabine toxicity using a novel monitoring tool.
Methods
Patients with metastatic breast cancer were prospectively treated with capecitabine (2000 mg/m2/day, 14 days on/7 off). Patients completed in-person toxicity questionnaires (day 1/cycle) and automated phone-in assessments (days 8, 15). Correlation of genotypes with early and overall toxicity was the primary endpoint.
Results
Two hundred and fifty-nine patients were enrolled (14 institutions). Diarrhea and HFS occurred in 52% (17% grade 3) and 69% (9% grade 3), respectively. Only 29% of patients completed four cycles without dose reduction/interruption. In 39%, the highest toxicity grade was captured via phone. Three single nucleotide polymorphisms (SNPs) associated with diarrhea—DPYD*5 (odds ratio [OR] 4.9; P = 0.0005), a MTHFR missense SNP (OR 3.3; P = 0.02), and a SNP upstream of MTRR (OR 3.0; P = 0.03). GWAS elucidated a novel HFS SNP (OR 3.0; P = 0.0007) near TNFSF4 (OX40L), a gene implicated in autoimmunity including autoimmune skin diseases never before implicated in HFS. Genotype-gene expression analyses of skin tissues identified rs11158568 (associated with HFS via GWAS) with expression of CHURC1, a transcriptional activator controlling fibroblast growth factor (beta = − 0.74; P = 1.46 × 10–23), representing a previously unidentified mechanism for HFS.
Conclusions
This is the first cancer pharmacogenomic study to use phone-in self-reporting, permitting augmented toxicity characterization. Three germline toxicity SNPs were replicated, and several novel SNPs/genes having strong functional relevance were discovered. If further validated, these markers could permit personalized capecitabine dosing.
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References
Stockler MR et al (2011) Capecitabine versus classical cyclophosphamide, methotrexate, and fluorouracil as first-line chemotherapy for advanced breast cancer. J Clin Oncol 29(34):4498–4504
O'Shaughnessy J et al (2002) Superior survival with capecitabine plus docetaxel combination therapy in anthracycline-pretreated patients with advanced breast cancer: phase III trial results. J Clin Oncol 20(12):2812–2823
Wang J et al (2015) Capecitabine combined with docetaxel versus vinorelbine followed by capecitabine maintenance medication for first-line treatment of patients with advanced breast cancer: Phase 3 randomized trial. Cancer 121(19):3412–3421
Masuda N et al (2017) Adjuvant capecitabine for breast cancer after preoperative chemotherapy. N Engl J Med 376(22):2147–2159
Ratain MJ (2002) Dear doctor: we really are not sure what dose of capecitabine you should prescribe for your patient. J Clin Oncol 20(6):1434–1435
Rossi D et al (2007) Safety profile and activity of lower capecitabine dose in patients with metastatic breast cancer. Clin Breast Cancer 7(11):857–860
Mackean M et al (1998) Phase I and pharmacologic study of intermittent twice-daily oral therapy with capecitabine in patients with advanced and/or metastatic cancer. J Clin Oncol 16(9):2977–2985
Traina TA et al (2008) Phase I study of a novel capecitabine schedule based on the Norton-Simon mathematical model in patients with metastatic breast cancer. J Clin Oncol 26(11):1797–1802
Lam SW, Guchelaar HJ, Boven E (2016) The role of pharmacogenetics in capecitabine efficacy and toxicity. Cancer Treat Rev 50:9–22
Meulendijks D et al (2015) Clinical relevance of DPYD variants c.1679T%3eG, c.1236G%3eA/HapB3, and c.1601G%3eA as predictors of severe fluoropyrimidine-associated toxicity: a systematic review and meta-analysis of individual patient data. Lancet Oncol 16(16):1639–1650
Henricks LM et al (2015) Translating DPYD genotype into DPD phenotype: using the DPYD gene activity score. Pharmacogenomics 16(11):1277–1286
Offer SM et al (2013) Phenotypic profiling of DPYD variations relevant to 5-fluorouracil sensitivity using real-time cellular analysis and in vitro measurement of enzyme activity. Cancer Res 73(6):1958–1968
Deenen MJ et al (2016) Upfront genotyping of DPYD*2A to individualize fluoropyrimidine therapy: a safety and cost analysis. J Clin Oncol 34(3):227–234
Henricks LM et al (2018) DPYD genotype-guided dose individualisation of fluoropyrimidine therapy in patients with cancer: a prospective safety analysis. Lancet Oncol 19(11):1459–1467
Caudle KE et al (2013) Clinical Pharmacogenetics Implementation Consortium guidelines for dihydropyrimidine dehydrogenase genotype and fluoropyrimidine dosing. Clin Pharmacol Ther 94(6):640–645
Lunenburg CA et al (2016) Prospective DPYD genotyping to reduce the risk of fluoropyrimidine-induced severe toxicity: Ready for prime time. Eur J Cancer 54:40–48
Swen JJ et al (2011) Pharmacogenetics: from bench to byte—an update of guidelines. Clin Pharmacol Ther 89(5):662–673
Amstutz U et al (2018) Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline for dihydropyrimidine dehydrogenase genotype and fluoropyrimidine dosing: 2017 update. Clin Pharmacol Ther 103(2):210–216
Rosmarin D et al (2014) Genetic markers of toxicity from capecitabine and other fluorouracil-based regimens: investigation in the QUASAR2 study, systematic review, and meta-analysis. J Clin Oncol 32(10):1031–1039
O'Donnell PH et al (2012) Identification of novel germline polymorphisms governing capecitabine sensitivity. Cancer 118(16):4063–4073
Wheeler HE et al (2014) Identification of genetic variants associated with capecitabine-induced hand-foot syndrome through integration of patient and cell line genomic analyses. Pharmacogenet Genom 24(5):231–237
GTEx Consortium (2015) Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans. Science 348(6235):648–660
Lu MM et al (2013) Association of TNFSF4 polymorphisms with systemic lupus erythematosus: a meta-analysis. Mod Rheumatol 23(4):686–693
Nguyen CQ et al (2008) Identification of possible candidate genes regulating Sjogren's syndrome-associated autoimmunity: a potential role for TNFSF4 in autoimmune exocrinopathy. Arthritis Res Ther 10(6):R137
Elhai M et al (2016) OX40L blockade protects against inflammation-driven fibrosis. Proc Natl Acad Sci USA 113(27):E3901–E3910
Coustet B et al (2012) Independent replication and meta analysis of association studies establish TNFSF4 as a susceptibility gene preferentially associated with the subset of anticentromere-positive patients with systemic sclerosis. J Rheumatol 39(5):997–1003
Sheng G, dos Reis M, Stern CD (2003) Churchill, a zinc finger transcriptional activator, regulates the transition between gastrulation and neurulation. Cell 115(5):603–613
Belicha-Villanueva A et al (2010) What is the role of alternate splicing in antigen presentation by major histocompatibility complex class I molecules? Immunol Res 46(1–3):32–44
Slomov E et al (2005) Pemphigus vulgaris is associated with the transporter associated with antigen processing (TAP) system. Hum Immunol 66(12):1213–1222
Konstantinou P et al (2013) Transporter associated with antigen processing deficiency syndrome: case report of an adolescent with chronic perforated granulomatous skin lesions due to TAP2 mutation. Pediatr Dermatol 30(6):e223–e225
Gravis G et al (2014) Patients' self-assessment versus investigators' evaluation in a phase III trial in non-castrate metastatic prostate cancer (GETUG-AFU 15). Eur J Cancer 50(5):953–962
Basch E et al (2006) Patient versus clinician symptom reporting using the National Cancer Institute Common Terminology Criteria for Adverse Events: results of a questionnaire-based study. Lancet Oncol 7(11):903–909
Macquart-Moulin G et al (1997) Discordance between physicians' estimations and breast cancer patients' self-assessment of side-effects of chemotherapy: an issue for quality of care. Br J Cancer 76(12):1640–1645
Thanarajasingam G et al (2015) The imperative for a new approach to toxicity analysis in oncology clinical trials. J Natl Cancer Inst. https://doi.org/10.1093/jnci/djv216
Pirmohamed M et al (2011) The phenotype standardization project: improving pharmacogenetic studies of serious adverse drug reactions. Clin Pharmacol Ther 89(6):784–785
Basch E et al (2017) Overall survival results of a trial assessing patient-reported outcomes for symptom monitoring during routine cancer treatment. JAMA 318(2):197–198
Judson TJ et al (2013) Feasibility of long-term patient self-reporting of toxicities from home via the Internet during routine chemotherapy. J Clin Oncol 31(20):2580–2585
Pietanza MC et al (2013) Harnessing technology to improve clinical trials: study of real-time informatics to collect data, toxicities, image response assessments, and patient-reported outcomes in a phase II clinical trial. J Clin Oncol 31(16):2004–2009
Trotti A et al (2007) Patient-reported outcomes and the evolution of adverse event reporting in oncology. J Clin Oncol 25(32):5121–5127
Thorn CF et al (2011) PharmGKB summary: fluoropyrimidine pathways. Pharmacogenet Genom 21(4):237–242
McLeod HL et al (2010) Pharmacogenetic predictors of adverse events and response to chemotherapy in metastatic colorectal cancer: results from North American Gastrointestinal Intergroup Trial N9741. J Clin Oncol 28(20):3227–3233
Zhang H et al (2007) DPYD*5 gene mutation contributes to the reduced DPYD enzyme activity and chemotherapeutic toxicity of 5-FU: results from genotyping study on 75 gastric carcinoma and colon carcinoma patients. Med Oncol 24(2):251–258
Teh LK et al (2013) Potential of dihydropyrimidine dehydrogenase genotypes in personalizing 5-fluorouracil therapy among colorectal cancer patients. Ther Drug Monit 35(5):624–630
Del Re M et al (2019) DPYD*6 plays an important role in fluoropyrimidine toxicity in addition to DPYD*2A and c.2846A%3eT: a comprehensive analysis in 1254 patients. Pharmacogenom J. https://doi.org/10.1038/s41397-019-0077-1
van Huis-Tanja LH et al (2015) Clinical validation study of genetic markers for capecitabine efficacy in metastatic colorectal cancer patients. Pharmacogenet Genom 25(6):279–288
Innocenti F et al (2014) Dose-finding and pharmacokinetic study to optimize the dosing of irinotecan according to the UGT1A1 genotype of patients with cancer. J Clin Oncol 32(22):2328–2334
Morrison G et al (2016) Utility of patient-derived lymphoblastoid cell lines as an ex vivo capecitabine sensitivity prediction model for breast cancer patients. Oncotarget 7(25):38359–38366
Offer SM et al (2013) A DPYD variant (Y186C) in individuals of african ancestry is associated with reduced DPD enzyme activity. Clin Pharmacol Ther 94(1):158–166
Offer SM et al (2014) Comparative functional analysis of DPYD variants of potential clinical relevance to dihydropyrimidine dehydrogenase activity. Cancer Res 74(9):2545–2554
Elraiyah T et al (2017) Novel deleterious dihydropyrimidine dehydrogenase variants may contribute to 5-fluorouracil sensitivity in an East African population. Clin Pharmacol Ther 101(3):382–390
Acknowledgements
We are grateful first to all of the patients who generously volunteered to participate in this study. We thank the TBCRC investigators, research nurses, and study coordinators for their efforts on behalf of the patients. We are appreciative of the funding support provided to the TBCRC by its three foundation partners: The AVON Foundation, The Breast Cancer Research Foundation, and the Susan G. Komen for the Cure. Additional support for this research was provided by NIH/NCI K12 CA139160-01A1 (PHO), NIH/NIGMS U01 GM61393-12 (MJR, NC, MED), a University of Chicago Cancer Research Center Protocol-Specific Award (PHO, MED), and a University of Chicago Clinical and Translational Science Award Pilot and Collaborative Translational and Clinical Studies Award (PHO).
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Conceptualization: PHO, DH, GFF, JNI, GLR, MJR, NC, OIO, ACW, MED. Funding acquisition: PHO, JNI, MJR, NC, OIO, ACW, MED, RN. Enrollment of patients/collection of data: ANP, AN, GFF, JNI, VGA, PKM, AMS, AF, CVP, MCL, JCC, DEM, JMP, HSR, ECD, OMH, PCH, RSH, OIO, ACW, RN. Analysis: PHO, VT, ANP, JPH, AN, RSH, MJR, NC. Original draft: PHO. Review, editing, and approval of final version: all authors.
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Each participating site received approval for the conduct of this study by their respective Institutional Review Board prior to activation (clinicaltrials.gov #NCT00977119).
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O’Donnell, P.H., Trubetskoy, V., Nurhussein-Patterson, A. et al. Clinical evaluation of germline polymorphisms associated with capecitabine toxicity in breast cancer: TBCRC-015. Breast Cancer Res Treat 181, 623–633 (2020). https://doi.org/10.1007/s10549-020-05603-8
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DOI: https://doi.org/10.1007/s10549-020-05603-8