Literature DB >> 20683446

Myelosuppression by sunitinib is flt-3 genotype dependent.

N P van Erp, R H J Mathijssen, A A van der Veldt, J B Haanen, A K L Reyners, K Eechoute, E Boven, J A M Wessels, H-J Guchelaar, H Gelderblom.   

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Year:  2010        PMID: 20683446      PMCID: PMC2938256          DOI: 10.1038/sj.bjc.6605813

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


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Sir, Myelosuppression is frequently observed during treatment with the multi tyrosine kinase inhibitors (TKIs) (Motzer ; Bhojani ). The frequency and severity of myelosuppression varies among the drug class with sunitinib being a relative myelotoxic compound leading to leukopenia and thrombocytopenia in 56–78% and 41–65% of the patients, respectively (Demetri ; Motzer ). In a previous issue of the British Journal of Cancer, Kumar have investigated the potency of three TKIs that target the vascular endothelial growth factor receptor; sunitinib, sorafenib and pazopanib, against a large panel of kinases in in vitro and cellular assays. They further evaluated the potential for myelosuppression by measuring the ability of these TKIs to inhibit human bone marrow progenitor growth. Both c-kit and flt-3 seemed to be important kinases for the development of early stem and progenitor cells, as determined by Kumar . The differences in activity against these kinases provide a plausible explanation for the observed differences in clinical myelosuppression between sunitinib, sorafenib and pazopanib (Hartmann ; Kumar ). As there is considerable variability among patients with regard to sunitinib-induced myelosuppression, additional patient characteristics could very well contribute to the development of bone marrow toxicity. In a recent study, we have investigated the relationship between germ-line variants in genes encoding proteins involved in sunitinib disposition, metabolism and mechanism of action and the development of common toxicities, including haematological toxicities (van Erp ). We found a strong association between the presence of the flt-3 738C-allele, which is a non-synonymous polymorphism in the flt-3 receptor with currently unknown functionality, and a 2.8-fold reduction in the risk for developing leukopenia after one cycle of sunitinib treatment. This finding not only underlines the role of flt-3 in myelosuppression as suggested by Kumar but might also explain the large interpatient variability in sunitinib-related leukopenia response. In our study, only 29% of the patients developed thrombocytopenia in the first treatment cycle as compared with 46% of the patients who developed leukopenia scored according to the criteria of Common Toxicity Criteria for Adverse Events version 3.0. An explanation for this difference might be the high baseline thrombocyte counts (mean: 319 × 109 l–1, range: 92–864 × 109 l–1) in these patients. As a consequence, a larger decrease in thrombocytes is necessary to develop thrombocytopenia. We, therefore, performed a sub-analysis, in 193 patients, in which the thrombocyte count ratios (counts after 4 weeks of treatment/baseline counts) were univariately tested for an association with the flt-3 polymorphism 738T/C. The flt-3 genotype was divided into two groups wild type (TT) (n=59) vs C-allele carriers (CT/CC) (n=134) since a protective effect was observed in C-allele carriers in developing leukopenia in our earlier analysis (van Erp ). In line with our previous analysis, a protective effect in thrombocyte reduction was indeed observed for the flt-3 738C-allele carriers. After 4 weeks of sunitinib treatment, the mean thrombocyte count ratios for carriers of the flt-3 738 TT genotype vs carriers of the flt-3 738 CT/CC genotype were 0.54 vs 0.65 (P=0.024) (Figure 1).
Figure 1

Trombocyte counts decrease after sunitinib start in flt3 738 TT vs CT and CC carriers.

We conclude that the flt-3 738C allele has a protective effect against sunitinib-induced thrombocytopenia. Combined with our earlier finding with regard to leukopenia it seems that the flt-3 738C>T polymorphism has a role in the variability of sunitinib-induced bone marrow toxicities.
  6 in total

1.  Efficacy and safety of sunitinib in patients with advanced gastrointestinal stromal tumour after failure of imatinib: a randomised controlled trial.

Authors:  George D Demetri; Allan T van Oosterom; Christopher R Garrett; Martin E Blackstein; Manisha H Shah; Jaap Verweij; Grant McArthur; Ian R Judson; Michael C Heinrich; Jeffrey A Morgan; Jayesh Desai; Christopher D Fletcher; Suzanne George; Carlo L Bello; Xin Huang; Charles M Baum; Paolo G Casali
Journal:  Lancet       Date:  2006-10-14       Impact factor: 79.321

2.  Sunitinib versus interferon alfa in metastatic renal-cell carcinoma.

Authors:  Robert J Motzer; Thomas E Hutson; Piotr Tomczak; M Dror Michaelson; Ronald M Bukowski; Olivier Rixe; Stéphane Oudard; Sylvie Negrier; Cezary Szczylik; Sindy T Kim; Isan Chen; Paul W Bycott; Charles M Baum; Robert A Figlin
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

3.  Pharmacogenetic pathway analysis for determination of sunitinib-induced toxicity.

Authors:  Nielka P van Erp; Karel Eechoute; Astrid A van der Veldt; John B Haanen; An K L Reyners; Ron H J Mathijssen; Epie Boven; Tahar van der Straaten; Renée F Baak-Pablo; Judith A M Wessels; Henk-Jan Guchelaar; Hans Gelderblom
Journal:  J Clin Oncol       Date:  2009-08-10       Impact factor: 44.544

Review 4.  Tyrosine kinase inhibitors - a review on pharmacology, metabolism and side effects.

Authors:  Jörg Thomas Hartmann; Michael Haap; Hans-Georg Kopp; Hans-Peter Lipp
Journal:  Curr Drug Metab       Date:  2009-06       Impact factor: 3.731

Review 5.  Toxicities associated with the administration of sorafenib, sunitinib, and temsirolimus and their management in patients with metastatic renal cell carcinoma.

Authors:  Naeem Bhojani; Claudio Jeldres; Jean-Jacques Patard; Paul Perrotte; Nazareno Suardi; Georg Hutterer; François Patenaude; Stéphane Oudard; Pierre I Karakiewicz
Journal:  Eur Urol       Date:  2007-11-26       Impact factor: 20.096

6.  Myelosuppression and kinase selectivity of multikinase angiogenesis inhibitors.

Authors:  R Kumar; M-C Crouthamel; D H Rominger; R R Gontarek; P J Tummino; R A Levin; A G King
Journal:  Br J Cancer       Date:  2009-10-20       Impact factor: 7.640

  6 in total
  4 in total

1.  Consequence of dose scheduling of sunitinib on host immune response elements and vaccine combination therapy.

Authors:  Benedetto Farsaci; Jack P Higgins; James W Hodge
Journal:  Int J Cancer       Date:  2011-08-08       Impact factor: 7.396

2.  Characteristics of early-onset hematotoxicity of sunitinib in Japanese patients with renal cell carcinoma.

Authors:  Renpei Kato; Yoichiro Kato; Tomohiko Matsuura; Mitsugu Kanehira; Ryo Takata; Wataru Obara
Journal:  BMC Cancer       Date:  2017-03-23       Impact factor: 4.430

3.  Germline variation in cancer-susceptibility genes in a healthy, ancestrally diverse cohort: implications for individual genome sequencing.

Authors:  Dale L Bodian; Justine N McCutcheon; Prachi Kothiyal; Kathi C Huddleston; Ramaswamy K Iyer; Joseph G Vockley; John E Niederhuber
Journal:  PLoS One       Date:  2014-04-11       Impact factor: 3.240

4.  Nivolumab and sunitinib combination in advanced soft tissue sarcomas: a multicenter, single-arm, phase Ib/II trial.

Authors:  Javier Martin-Broto; Nadia Hindi; Giovanni Grignani; Javier Martinez-Trufero; Andres Redondo; Claudia Valverde; Silvia Stacchiotti; Antonio Lopez-Pousa; Lorenzo D'Ambrosio; Antonio Gutierrez; Herminia Perez-Vega; Victor Encinas-Tobajas; Enrique de Alava; Paola Collini; Maria Peña-Chilet; Joaquin Dopazo; Irene Carrasco-Garcia; Maria Lopez-Alvarez; David S Moura; Jose A Lopez-Martin
Journal:  J Immunother Cancer       Date:  2020-11       Impact factor: 13.751

  4 in total

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