IMPPACT: Pharmacogenomic-Guided Supportive Care in Hematopoietic Cell Transplantation
Study Details
Study Description
Brief Summary
Hematopoietic cell transplantation (HCT) is the only curative treatment modality for many hematologic malignancies. Morbidity and mortality rates have declined drastically over the years, secondary to improvements in both transplant techniques and pharmacotherapies, including immunosuppressants, anti-infectives, analgesics and other supportive care medications. Despite advances in patient care, toxicities associated with HCT (e.g., graft-versus-host disease (GVHD), infection, pain, anxiety, depression, mucositis, nausea/vomiting) continue to pose challenges in patient care and have a significant impact on quality of life. (QOL). A recent study demonstrated subjects randomized to intensive supportive care had a clinically significant improvement in their QOL during hospitalization and up to 3 months post-transplant compared to those receiving standard care.
Further follow up evaluations have evaluated the impact of focused palliative care/symptom management on QOL metrics - inclusive of Edmonton Symptom Assessment surveys (ESAS). In other malignant settings, i.e. solid tumor, ESAS has been noted as an effective measure of symptoms control and the utilization of this assessment is linked to positive outcomes. The American Society of Clinical Oncology (ASCO) has designated QOL as the second most relevant metric for post-transplant patient care behind survival, making the optimization of supportive care pharmacotherapy a clinically relevant subject to investigate. Pharmacogenetics (PGx) uses an individual's genetic factors, such as single nucleotide polymorphisms (SNPs), to personalize therapy or dose selection. SNPs encode drug-metabolizing enzymes, transporters, and targets that can significantly impact drug efficacy and toxicity. With the growing complexity of both antineoplastics and supportive care, oncologists have less time to manage each subject's myriad of supportive care concerns by trial and error. Suboptimal management of symptoms compromises potential benefits from cancer therapy, disrupts clinic workflow, increases emergency room visits, and affects both patient satisfaction and reimbursement. Genetic variation is well documented across the human genome and affects a subject's response to medications regarding efficacy and toxicity. The genome is quickly becoming a pragmatic tool that can assist oncologists and other providers in optimizing supportive care for subjects with cancer.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Detailed Description
The investigators hypothesize that the implementation of a pharmacist-driven precision medicine service guided by HCT clinical pharmacists and Specialty Pharmacy pharmacists using preemptive pharmacogenomic (PGx) testing will identify drug-gene interactions relevant to the supportive care of HCT subjects. This approach to care may improve symptom management and QOL as interpreted via ESAS in adult HCT subjects treated at our institution. With the experience of past studies and a customized genetic panel, the investigators will genotype subjects prior to transplant and identify actionable drug-gene pairs and utilize these to direct supportive therapies. To date no studies have highlighted the significance of incorporating preemptive PGx testing to personalize therapy selection and dosing into the management of adult HCT subjects as a means of improving QOL and symptom management. The primary aim is to estimate the frequency of subjects undergoing PGx testing who receive at least one drug/dose selection or modification based on their test results during the study period (from admission for HCT to HCT D100). Secondarily the investigators will measure improvement in aggregate and individual scores on the ESAS survey and will further use the ESAS in its totality to assess the impact of PGx-guided care as compared to pre-implementation/non-PGx driven strategies through aggregate ESAS scores, individual ESAS scores, and differences between HCT admission (or baseline) and HCT Day 30 scores before and after the intervening program. In the outpatient setting the investigators will utilize planned medication reconciliation (with PGx guidance) by Specialty Pharmacy Service pharmacists to adhere to PGx-recommendations and capture insight into the implementation of this program to share with other practitioners. The implementation of this study will personalize pharmacotherapy, improve symptom management and QOL in adult HCT subjects treated at our institution, and offer guidance globally in supporting the role of the pharmacist in pharmacogenomics (PGx) and management of HCT subjects.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Experimental: Pharmacogenomic Testing A pharmacogenomic (PGx) panel will be performed to test for genetic variations in genes related to drug response. |
Other: Pharmacogenomic-guided supportive care
Patients undergoing hematopoietic stem cell transplantation will be genotyped and supportive care therapies tailored to identified drug-gene pairs and guideline recommendations
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Outcome Measures
Primary Outcome Measures
- Frequency of subjects undergoing PGx testing who receive at least one drug/dose selection or modification. [from admission for HCT to HCT Day +100]
The primary objective is to estimate the frequency of subjects undergoing PGx testing who receive at least one drug/dose selection or modification based on their test results during the study period
Secondary Outcome Measures
- Improvements in symptoms from PGx-guided supportive care [HCT admission]
Determine if PGx-guided supportive care is associated with changes in symptom management following HCT compared to control data attained from subjects not consenting to PGx testing, as assessed by individual and aggregate Edmonton Symptom Assessment Scale (ESAS) scores as well as their changes in ESAS scores (ESAS being an 11-point symptoms assessment with low scores associated with low symptom burden and the high scores associated with significant burden)
- Improvements in symptoms from PGx-guided supportive care [HCT Day +30]
Determine if PGx-guided supportive care is associated with changes in symptom management following HCT compared to control data attained from subjects not consenting to PGx testing, as assessed by individual and aggregate Edmonton Symptom Assessment Scale (ESAS) scores as well as their changes in ESAS scores (ESAS being an 11-point symptoms assessment with low scores associated with low symptom burden and the high scores associated with significant burden)
- Longitudinal symptoms measurements with PGx-guided supportive care [From baseline to Day +30, Day +60 and Day +100 in those who enroll to the study]
Describe longitudinal changes in individual and aggregate Edmonton Symptom Assessment Scale (ESAS) scores as indicative of QOL (ESAS being an 11-point symptoms assessment with low scores associated with low symptom burden and the high scores associated with significant burden)
- Determine the type and frequency of actionable genetic polymorphisms observed in the evaluable population and in the subset that received a drug and/or dose selection/modification [From baseline to Day +30 in those who enroll to the study]
Among the PGx-guided supportive care subjects, investigators will assess the type and frequency of actionable genetic polymorphisms observed in the evaluable population and in the subset that received a drug and/or dose selection/modification based on PGx results
- Determine the type and frequency of actionable genetic polymorphisms observed in the evaluable population and in the subset that received a drug and/or dose selection/modification [From baseline to Day +60 in those who enroll to the study]
Among the PGx-guided supportive care subjects, investigators will assess the type and frequency of actionable genetic polymorphisms observed in the evaluable population and in the subset that received a drug and/or dose selection/modification based on PGx results
- Determine the type and frequency of actionable genetic polymorphisms observed in the evaluable population and in the subset that received a drug and/or dose selection/modification [From baseline to Day +100 in those who enroll to the study]
Among the PGx-guided supportive care subjects, investigators will assess the type and frequency of actionable genetic polymorphisms observed in the evaluable population and in the subset that received a drug and/or dose selection/modification based on PGx results
Eligibility Criteria
Criteria
Inclusion Criteria:
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Written informed consent and HIPAA authorization for release of personal health information
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Age ≥ 18 years at the time of consent
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Scheduled HCT (allogeneic and autologous, any conditioning regimen) treatment for any malignant or non-malignant indications (i.e. aplastic anemia)
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Ability to read and understand English or Spanish
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Able to provide a buccal sample for DNA extraction and genotyping
Exclusion Criteria:
- Psychiatric illness/social situations, or active/recent (within 30 days) history of elicit substance abuse that would limit compliance with study requirements as determined by the investigator
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Levine Cancer Institute | Charlotte | North Carolina | United States | 28204 |
Sponsors and Collaborators
- Wake Forest University Health Sciences
Investigators
- Principal Investigator: Justin R Arnall, PharmD, Wake Forest University Health Sciences
Study Documents (Full-Text)
None provided.More Information
Publications
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- Dunnenberger HM, Crews KR, Hoffman JM, Caudle KE, Broeckel U, Howard SC, Hunkler RJ, Klein TE, Evans WE, Relling MV. Preemptive clinical pharmacogenetics implementation: current programs in five US medical centers. Annu Rev Pharmacol Toxicol. 2015;55:89-106. doi: 10.1146/annurev-pharmtox-010814-124835. Epub 2014 Oct 2. Review.
- El-Jawahri A, LeBlanc T, VanDusen H, Traeger L, Greer JA, Pirl WF, Jackson VA, Telles J, Rhodes A, Spitzer TR, McAfee S, Chen YA, Lee SS, Temel JS. Effect of Inpatient Palliative Care on Quality of Life 2 Weeks After Hematopoietic Stem Cell Transplantation: A Randomized Clinical Trial. JAMA. 2016 Nov 22;316(20):2094-2103. doi: 10.1001/jama.2016.16786.
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- McCabe MS, Bhatia S, Oeffinger KC, Reaman GH, Tyne C, Wollins DS, Hudson MM. American Society of Clinical Oncology statement: achieving high-quality cancer survivorship care. J Clin Oncol. 2013 Feb 10;31(5):631-40. doi: 10.1200/JCO.2012.46.6854. Epub 2013 Jan 7.
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- Nassan M, Nicholson WT, Elliott MA, Rohrer Vitek CR, Black JL, Frye MA. Pharmacokinetic Pharmacogenetic Prescribing Guidelines for Antidepressants: A Template for Psychiatric Precision Medicine. Mayo Clin Proc. 2016 Jul;91(7):897-907. doi: 10.1016/j.mayocp.2016.02.023. Epub 2016 Jun 21. Review.
- Owusu Obeng A, Hamadeh I, Smith M. Review of Opioid Pharmacogenetics and Considerations for Pain Management. Pharmacotherapy. 2017 Sep;37(9):1105-1121. doi: 10.1002/phar.1986. Epub 2017 Sep 6. Review.
- Patel JN, Robinson MM, Hamadeh I, et al: CYP2C19 Genotype-Guided Dosing and Voriconazole Concentrations in Hematopoietic Stem Cell Transplant Patients (HSCT) Receiving Antifungal Prophylaxis. Blood 128, 2016; abstr 3416
- Patel JN, Wiebe LA, Dunnenberger HM, McLeod HL. Value of Supportive Care Pharmacogenomics in Oncology Practice. Oncologist. 2018 Aug;23(8):956-964. doi: 10.1634/theoncologist.2017-0599. Epub 2018 Apr 5. Review.
- Pérez V, Salavert A, Espadaler J, Tuson M, Saiz-Ruiz J, Sáez-Navarro C, Bobes J, Baca-García E, Vieta E, Olivares JM, Rodriguez-Jimenez R, Villagrán JM, Gascón J, Cañete-Crespillo J, Solé M, Saiz PA, Ibáñez Á, de Diego-Adeliño J; AB-GEN Collaborative Group, Menchón JM. Efficacy of prospective pharmacogenetic testing in the treatment of major depressive disorder: results of a randomized, double-blind clinical trial. BMC Psychiatry. 2017 Jul 14;17(1):250. doi: 10.1186/s12888-017-1412-1.
- Quteineh L, Verstuyft C, Furlan V, Durrbach A, Letierce A, Ferlicot S, Taburet AM, Charpentier B, Becquemont L. Influence of CYP3A5 genetic polymorphism on tacrolimus daily dose requirements and acute rejection in renal graft recipients. Basic Clin Pharmacol Toxicol. 2008 Dec;103(6):546-52. doi: 10.1111/j.1742-7843.2008.00327.x.
- Sureda A, Bader P, Cesaro S, Dreger P, Duarte RF, Dufour C, Falkenburg JH, Farge-Bancel D, Gennery A, Kröger N, Lanza F, Marsh JC, Nagler A, Peters C, Velardi A, Mohty M, Madrigal A. Indications for allo- and auto-SCT for haematological diseases, solid tumours and immune disorders: current practice in Europe, 2015. Bone Marrow Transplant. 2015 Aug;50(8):1037-56. doi: 10.1038/bmt.2015.6. Epub 2015 Mar 23. Review.
- Tang HL, Xie HG, Yao Y, Hu YF. Lower tacrolimus daily dose requirements and acute rejection rates in the CYP3A5 nonexpressers than expressers. Pharmacogenet Genomics. 2011 Nov;21(11):713-20. doi: 10.1097/FPC.0b013e32834a48ca.
- Trammel M, Roederer M, Patel J, McLeod H. Does pharmacogenomics account for variability in control of acute chemotherapy-induced nausea and vomiting with 5-hydroxytryptamine type 3 receptor antagonists? Curr Oncol Rep. 2013 Jun;15(3):276-85. doi: 10.1007/s11912-013-0312-x. Review.
- Winner JG, Carhart JM, Altar CA, Allen JD, Dechairo BM. A prospective, randomized, double-blind study assessing the clinical impact of integrated pharmacogenomic testing for major depressive disorder. Discov Med. 2013 Nov;16(89):219-27.
- LCI-HEM-BMT-IMPPACT-001