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. 2022 Sep 15;11(9):e36632.
doi: 10.2196/36632.

Individualizing the Oncological Treatment of Patients With Metastatic Non-Clear Cell Renal Cell Carcinoma by Using Gene Sequencing and Patient-Reported Outcomes: Protocol for the INDIGO Study

Affiliations

Individualizing the Oncological Treatment of Patients With Metastatic Non-Clear Cell Renal Cell Carcinoma by Using Gene Sequencing and Patient-Reported Outcomes: Protocol for the INDIGO Study

Ida Marie Lind Rasmussen et al. JMIR Res Protoc. .

Abstract

Background: No phase 3 studies have yet been conducted for patients with non-clear cell (CC) renal cell carcinoma (RCC) exclusively due to the rare occurrence of the disease and the heterogenicity in tumor morphology. Consequently, there is no evidence of the optimal treatment, and new approaches are needed. One approach is individualizing treatment based on the gene sequencing of tumor tissue. Additionally, recent studies involving the patient-reported outcomes (PROs) of patients treated for metastatic cancer have shown significant benefits for quality of life, median overall survival, and overall survival. The use of gene sequencing and PROs can be of great importance to patients with rare cancer types, including patients with non-CC RCC, and should be investigated in clinical trials, especially for cases where evidence based on phase 3 studies is difficult to obtain.

Objective: We describe the INDIGO study, in which patients, based on gene analyses, will be allocated into 4 treatment arms containing 14 treatments and use electronic PROs. We aim to improve the treatment of patients with non-CC RCC. The end points in the study will be the overall response rate (complete and partial) in the total patient population, which will be based on the RECIST (Response Evaluation Criteria in Solid Tumors) version 1.1 criteria, and the time to treatment failure.

Methods: INDIGO is a prospective phase 2 trial, and 30 patients will be enrolled. The patients will receive systemic treatment based on genetic analyses of their tumor tissue. All patients will receive electronic questionnaires in a dedicated app-a questionnaire regarding symptoms and side effects and another regarding health-related quality of life. Depending on the treatment regimen, the patients will be seen by a medical doctor every third, fourth, or sixth week, and the effect of the systemic treatment will be evaluated every 6 weeks via a computed tomography scan. The study has been approved by the Danish Medicines Agency and the National Committee on Health Research Ethics (approval number: H-19041833), complies with good clinical practice guidelines, follows the General Data Protection Regulation, and is registered at the Capital Region of Denmark.

Results: Recruitment started in March 2020, and at the time of submitting this paper (June 2022), a total of 9 patients have been enrolled.

Conclusions: We aim to explore methods for improving the treatment outcomes of patients with non-CC RCC, and the INDIGO study will contribute further data on personalized medicine for rare types of RCC and provide new knowledge on the active use of electronic PROs.

Trial registration: ClinicalTrials.gov NCT04644432, https://clinicaltrials.gov/ct2/show/NCT04644432 ; European Union Drug Regulating Authorities Clinical Trials Database 2019-001316-38, https://tinyurl.com/2p8mb4aw.

International registered report identifier (irrid): DERR1-10.2196/36632.

Keywords: eHealth; electronic patient-reported outcome; health-related quality of life; non–clear cell renal cell carcinoma; oncology; outcome; patient-reported; patient-reported outcome; precision medicine; renal cell carcinoma; targeted therapy.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: The INDIGO study is financially supported by Roche Pharmaceuticals and The Capital Region of Denmark. None of the authors are funded by Roche Pharmaceuticals.

Figures

Figure 1
Figure 1
INDIGO study design and flow. CT: computed tomography; IC: informed consent; NGS: next-generation sequencing; RNA: Ribonucleic Acid.
Figure 2
Figure 2
Patient interface in the Journl app. Text has been translated to English.
Figure 3
Figure 3
Clinician interface in the Journl web application. Text has been translated to English.

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