Renal cell carcinoma (RCC) accounts for about 80% of all renal tumors, and the age of onset is typically 60 to 70 years. The majority of patients have clear cell (CC) histology, but 20% have another histology, and this group is referred to as patients with non-CC RCC [1]. CC histology is mostly characterized by a von Hippel-Lindau gene defect, whereas non-CC histology comprises different subtypes that each have individual morphological and genetic characteristics [2].There is no evidence of the optimum treatment of non-CC RCC. No phase 3 studies have been conducted for patients with non-CC RCC exclusively (ie, not for the individual subtype or for the whole group). Data are available from subgroup analyses and the expanded access programs of large studies [1,3-5]. Generally, patients with non-CC RCC have poorer prognoses than those of patients with CC RCC, with an overall survival of 12.8 versus 22.3 months and a time to treatment failure (TTF) of 4.2 versus 7.8 months [2]. The overall response rate (ORR) has been reported in the range of 10% to 27% for patients with non-CC RCC, whereas an ORR of up to 71% has been reported for patients with CC RCC [2,6-11].
Use of Patient-Reported Outcomes
Throughout several decades, patients’ symptoms and side effects have been assessed by clinicians during consultations. A lexicon—the Common Terminology Criteria for Adverse Events (CTCAE)—that is used to report and grade adverse events was developed in relation to pharmaceutical development, and it is used by clinicians in both clinical trials and daily routines. To date, the CTCAE is the foundation of symptom scoring for patients during active oncological treatment [12]. Nonetheless, research shows a discrepancy between symptoms scored by patients and clinicians where clinicians underscore the severity of the patients’ symptoms [13,14]. Safety and toxicity reports are crucial in clinical trials and must be reliable, making this discrepancy problematic. Since 2009, the incorporation of patient-reported outcomes (PROs) in pharmaceutical research has been a part of guidelines and recommendations [15]. Although the collection of PRO data has taken place for decades, often in terms of quality of life data from patients participating in clinical trials, these data were not being used during data collection, and the focus became benefitting populations of patients instead of directly benefitting the individuals who shared such information. This is called the passive use of PROs.The active use of PROs is now being implemented to a larger extent, and data are being used in real time to give feedback to patients. Recent studies involving the active use of the PROs of patients treated for metastatic cancer have shown significant benefits for health-related quality of life (HRQoL), median overall survival, and overall survival [16,17]. The use of PROs as end points in clinical studies can be of great importance to patients with rare cancer types, including patients with non-CC RCC, for whom treatment is highly individualized, and evidence based on phase 3 studies is difficult to obtain. This approach allows for the individualization of care for each individual patient. Such information strengthens clinical decision-making, as it can be used for detecting changes in a patient’s condition that would otherwise be overlooked or reported later.The National Cancer Institute created the PROs Version of the CTCAE (PRO-CTCAE), which includes adverse events that are appropriate for self-reporting [18]. In 2016, the PRO-CTCAE was translated into Danish and validated by Baeksted et al [19].
Gene Analysis
In the IMmotion150 study [20], it was shown that patients can be divided into groups with either an angiogenic or immune profile, depending on the RNA expression of relevant genes. The study showed that giving patients with a certain profile a treatment that targets the profile had a positive effect on progression-free survival (PFS). These findings have since been validated in the IMmotion151 study [21].At present day, Danish patients with metastatic non-CC RCC who are fit to receive systemic oncological treatment are offered tivozanib, regardless of their histological subtype, unless the patients have a sarcomatoid component or collecting duct RCC.The possibilities for individualizing treatment are increasing, as results of gene analyses can be made available within a few weeks via next-generation sequencing. Instead of treating patients with non-CC RCC as 1 homogeneous group, the INDIGO study will investigate whether patients’ future course of treatment can be individualized based on knowledge about the gene alterations in their tumor tissue and via the active use of PROs.
Hypothesis
Our hypothesis is that basing the choice of first-line treatment on the DNA mutations in and RNA profiles of a heterogeneous patient population will increase the ORR of the total population to 30% (10% has been reported for historical cohorts). To achieve this goal for patients with non-CC RCC, we will give personalized medicine and use electronic PROs (ePROs) actively.
Methods
Recruitment
Patients with non-CC RCC or 100% sarcomatoid RCC who have been referred to the Department of Oncology at Copenhagen University Hospital – Herlev and Gentofte to receive first-line systemic treatment for metastatic disease can participate in the study if the inclusion and exclusion criteria are met. Patients from other centers in Denmark will be offered referral to the department for the purpose of participation in the INDIGO study.The inclusion and exclusion criteria were chosen to mimic the inclusion and exclusion criteria for research on RCC in general. These can be seen in Textbox 1.Inclusion criteriaSigned informed consentThe patient must be willing and able to follow the protocolAge of ≥18 yearsInoperable, locally advanced, or metastatic disease with non-CC RCC found to be unsuited for surgery with a curative intentSufficient tissue for DNA analyses (corresponding to 10 slides) and RNA analyses (corresponding to 1000 tumor cells).Measurable disease according to the RECIST (Response Evaluation Criteria in Solid Tumors) version 1.1 criteriaWomen must have a negative pregnancy test, not be breastfeeding, or be of nonchildbearing potential (menopausal, hysterectomy, or ovariectomy)Women of childbearing potential (<2 years after last menstrual period) and men must use effective contraception (pills, intrauterine device, diaphragm, or condom with spermicide or sterilization) or be sexually abstinent during the treatment with the experiment medicine and up to 7 months after the discontinuation of the medicineKarnofsky performance status of ≥70%Life expectancy longer than 3 monthsBaseline blood samples for hematologyLeucocytes: ≥3.0 × 109/L; platelets: ≥100 × 109/L; hemoglobin: ≥6.2 mmol/LBiochemistry:International normalized ratio of ≤1.5Activated partial thromboplastin clotting time of ≤1.5 times the upper limit of normalTotal bilirubin of ≤1.5 times the upper limit of normalAspartate transaminase and alanine aminotransferase of ≤2.5 times the upper limit of normal for patients without liver metastases and ≤5 times the upper limit of normal for patients with liver metastasesEstimated glomerular filtration rate of >30 mL/minExclusion criteriaPrior systemic treatment for metastatic renal cell carcinomaPrior adjuvant treatment with immune-checkpoint inhibitorsMajor surgical procedure, open surgical biopsy, or significant trauma within 28 days prior to treatment initiationSerious nonhealing wound, ulcer, or bone fractureAutoimmune disease or other condition requiring systemic treatment with either corticosteroids (>10 mg/day of prednisolone or similar) or other immunosuppressive drugsMetastases in the central nervous system; the patient must undergo a magnetic resonance imaging scan (preferred) or computed tomography scan of the brain within 28 prior to treatment initiationSeizures that cannot be managed with standard medical treatmentIf urine dipstick indicates ≥3+ protein, urine must be collected over a period of 24 hours (must be <3.5 g/day of protein), and if dipstick indicates degree 2 proteinuria, urine must be collected over a period of 24 hours prior to each prescriptionOther malignancy within 5 years (except for curatively treated basal cell carcinoma of the skin and/or cervix carcinoma in situ)Uncontrolled hypertension (≥150 mm Hg for systolic blood pressure and/or ≥100 mm Hg for diastolic pressure) despite maximum antihypertensive medical treatment.Treatment using other investigational drugs or participation in other studiesClinically significant (ie, active) cardiovascular disease, such as cerebrovascular conditions (≤6 months), myocardial infarction (≤6 months), unstable angina, New York Heart Association congestive heart failure (degree 3 or greater), or serious cardiac arrhythmia requiring medical treatment; patients with well-managed atrial fibrillation/atrial flutter may be includedPrevious or current other diseases, metabolic dysfunction, clinical findings on physical examination or clinical laboratory findings that give suspicion of a disease or condition that would contraindicate the use of an investigational drug, or a patient with a high risk of treatment complicationsPatient cases where the investigator finds that patient compliance prevents the safe completion of the treatment
Design
Our study is a prospective, 4-arm, single-center, phase 2 trial at Copenhagen University Hospital – Herlev and Gentofte, Denmark.Each enrolled patient will receive oncological treatment based on the results of the genetic analyses of tumor tissue. Next-generation sequencing analyses will be performed with the FoundationOne CDx assay from Foundation Medicine, Inc. The tumor tissue undergo hybridization capture-based targeted sequencing for 324 cancer-related genes; gene alterations; and rearrangements, including microsatellite instability and tumor mutational burden. The RNA analyses will be performed at the hospital’s Department of Pathology to search for an immunogenic or angiogenic RNA profile [20].The results of the RNA and DNA analyses will be discussed by a multidisciplinary tumor board, which decides on the treatment offered to a patient. Patients can be allocated to 4 different treatment arms that represent the flow used to allocate the patients. The study flow and treatment arms are shown in Figure 1. If a patient fits into more than 1 arm, the patient will be assigned to the arm that is closest to the first treatment arm—arm A. It is important to emphasize that the design of the study is not to compare the different treatments. The first treatment arm—arm A—is for patients with a targetable mutation, arm B is for patients with an angiogenic profile, arm C is for patients with an immune profile, and arm D is for patients that do not fit into any of the other treatment arms.
Figure 1
INDIGO study design and flow. CT: computed tomography; IC: informed consent; NGS: next-generation sequencing; RNA: Ribonucleic Acid.
Depending on treatment regimen, patients will be seen by a medical doctor every third, fourth, or sixth week to receive treatment. Additionally, the effect of the systemic treatment will be evaluated every sixth week via a computed tomography scan. The patients will receive treatment until clinical or radiological progression, until the patients experience unacceptable toxicity, or until they withdraw their consent to participate in the study.The intervention in the trial is treatment according to a gene profile combined with the active use of ePROs. Independent of the treatment regimen, the patients will receive 2 electronic questionnaires regarding symptoms, side effects, and HRQoL. At every consultation, the patients’ side effects and symptoms will be discussed and graded by a clinician in accordance with the CTCAE, and a physical examination will be performed.INDIGO study design and flow. CT: computed tomography; IC: informed consent; NGS: next-generation sequencing; RNA: Ribonucleic Acid.
The ePROs
All patients will complete a weekly questionnaire consisting of 32 questions regarding 17 symptoms and side effects, which were chosen from the PRO-CTCAE library. The different symptoms are shown in Textbox 2. Regardless of their treatment, the patients will answer the same questionnaires, which use the same advice algorithm. The questions were selected by a group of experts consisting of 4 experts in the oncological treatment of kidney cancer and 2 experts in PROs. The questions were chosen based on the expected frequencies of the symptoms and side effects in all 4 treatment arms and their possible treatments. Rare but potential critical symptoms were also chosen (eg, hemoptysis). The questions were chosen from the validated PRO-CTCAE library and the validated Danish translation of this library.The questionnaires will be completed in an app, and the patients will immediately receive advice based on their responses. The advice (ie, predefined symptom-handling advice) will be given after an algorithm which is decided on by the expert group. The advice will depend on the severity of the symptoms or side effects reported, and the thresholds for different advice will be decided individually for each question, depending on the symptoms. The questionnaires and advice are in Danish.The European Organization of Research in Treatment of Cancer (EORTC) Quality of Life Questionnaire-C30 (QLQ-C30) will be completed by the patients every 4 weeks from the start of treatment until the end of treatment. The 4-week schedule was chosen as a compromise among the different treatment regimens (3-, 4-, and 6-week schedule) and due to the possible short participation in the study. The collection of HRQoL questionnaires is an example of the passive use of PROs.Health care professionals will assess the incoming responses from the patients daily and can contact the patients if necessary. The health care professionals will not receive an alert when a patient has answered a questionnaire, but patients with the most severe symptoms will appear at the top of the list in the clinician interface. At consultation, the PRO responses will be used as a tool and starting point for conversations between the clinicians and patients.The interfaces for both patients (Figure 2) and clinicians (Figure 3) were specifically developed for the INDIGO study. The questionnaires will be sent to the patients via an app from Journl. Journl is an app provider that specializes in PROs and is International Organization for Standardization (ISO) 13485 and ISO 27001 certified. Before the first treatment, the patients will be instructed to download the app on their smartphones; create a user profile; and complete the first two questionnaires, which represent the baseline. The patients will log onto the app with a personal ID number code. If a patient has uncompleted questionnaires, they will receive daily telephone notifications until the questionnaires are completed. At the end of treatment, the patients will receive a patient-reported experience measure questionnaire in Danish for evaluating patients’ satisfaction with the ePROs [22]. In this questionnaire, the patients will assess, among other things, the length of the questionnaires, whether the questions were understandable, and whether they believed that the questionnaires had a positive influence on their communications with the health care professionals.
Figure 2
Patient interface in the Journl app. Text has been translated to English.
Figure 3
Clinician interface in the Journl web application. Text has been translated to English.
SymptomsDecreased appetiteNauseaVomitingDiarrheaDyspneaCoughPainOral mucositisHypertensionFatigueHeadacheDizzinessRashPruritusSore musclesCoughing bloodBlood in stoolPatient interface in the Journl app. Text has been translated to English.Clinician interface in the Journl web application. Text has been translated to English.
End Points
The INDIGO study is a study in which new workflows, including testing new treatment options based on DNA mutations and RNA profiles, and the ePROs of patients with non-CC RCC will be used. The two primary end points are the ORR (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 TTF. The RECIST version 1.1 criteria are standards for evaluating treatment response by measuring changes in the size of tumor tissue. Computed tomography is the preferred modality, and 2 or more target lesions will be chosen at baseline. Afterward, the lesions will be assessed on an ongoing basis. The following secondary end points will be measured: the use of PRO tools during treatment in terms of the completion of weekly questionnaires, in terms of possible patterns in the completion of questionnaires, and in terms of following the instructions regarding contacting the hospital if a patient receives advice to do so. The HRQoL questionnaire (ie, the EORTC QLQ-C30) responses will be converted to values in a graph. Changes in quality of life will be compared with the completion of the patients’ PRO questionnaires. The patients will evaluate their satisfaction with the use of PROs on the validated Patient Feedback Form [22].Other secondary end points are PFS, overall survival, the disease control rate (ie, complete response, partial response, and stable disease based on the RECIST version 1.1 criteria), the duration of responses, the number of hospital admissions, and the number of adverse events (ie, those in the CTCAE).
Statistical Analysis
The data will be analyzed with the statistical software R Statistics (R Foundation for Statistical Computing).Descriptive statistics will be used to describe symptom patterns based on PROs. Further analysis of covariance and 1-tailed t tests will be used to estimate changes in selected symptoms and HRQoL from baseline.Descriptive statistics will also be used to describe patient characteristics and estimate the clinical end points—the ORR, PFS, the TTF, overall survival, the disease control rate, and response duration. PFS, the TTF, overall survival, and response duration will be calculated by using the Kaplan-Meier method. Patients who are alive or have emigrated will be assessed at the end of the follow-up.Univariate and multivariate analyses will be carried out to assess prognostic factors, based on a Cox proportional hazard regression with 95% CIs. Differences in baseline characteristics will be calculated by using the chi-square test. The case-deletion method will be used in cases of missing laboratory samples, and if possible, multiple imputation will be used.
Power
When the INDIGO protocol was drafted, the ORR was reported in the range of 10% to 16% for patients with non-CC RCC, whereas an ORR of almost 28% has been reported in patients with CC RCC [2,6]. Due to the high proportion of patients in the International Metastatic RCC Database Consortium poor-risk group in Denmark, the response rates were expected to be closer to 10% [23].The sample size calculation was based on the following assumptions: if the true ORR is 30%, then at least 30 patients are required to have an 80% probability of demonstrating that the ORR is greater than 10% at a 5% significance level.The design of the study is not a randomized comparable study.
Ethics Approval
The INDIGO study has been approved by the National Committee on Health Research Ethics (approval number: H-19041833) and is being conducted in accordance with the Helsinki Declaration. Prior to study-related procedures, the patients must sign an informed consent from and must have received oral and written information about the study. The patients will be informed that they can withdraw their consent at any time without any consequences for their future treatment.The study has been approved by the Danish Medicines Agency, follows the General Data Protection Regulation, and is registered at the Capital Region of Denmark (ID number: P-2019-232).
Results
The enrollment of patients started in March 2020, and until June 2022, a total of 9 patients have been included. The inclusion rate has been slower than first expected partly due to the COVID-19 pandemic and fewer patients being diagnosed with non-CC RCC than expected. When the study is completed, the results from the study will be published in international, peer-reviewed journals, and the Vancouver Declaration will be followed in all publications based on the study.
Discussion
Principal Findings
The INDIGO study will contribute knowledge about new treatments for a rare and heterogeneous group of patients with non-CC RCC and a poor prognosis. By using personalized medicine based on DNA mutations and gene profiles and by actively using ePROs, we hope to achieve an increase in the ORR. To our knowledge, there are no previous studies regarding treatments based on gene analyses and non-CC RCC or the combination of the active use of PROs and targeted therapy for patients with RCC. The interactive and real-time feedback with ePROs will benefit the patients, since the data will be used to improve the patients’ trajectories. The use of ePROs gives clinicians better insight into patients’ symptoms and side effects in the time between visits to the hospital.As health care professionals, we should consider whether changing the limits between hospitals and homes (eg, with treatment-related apps on a patient’s private phone) can reduce patients’ quality of life. One can imagine that some patients will find it difficult to maintain their role as a patient when they are at home, while others will see the app, the questionnaires, and the active use of PROs as tools for gaining more influence on their supportive treatment and directing their conversations with health care professionals.
Comparison to Prior Work
In the INDIGO study, we will use ePROs both actively and passively. The active use of ePRO data can have a great impact on the course of treatment in terms of both the length of treatment and survival. By using ePROs, symptoms and side effects might be detected and treated at an earlier stage before they evolve to an extent that may necessitate a break in treatment or the discontinuation of medication. For some patients, longer treatment will result in longer overall survival. Basch et al [16,17] have shown significant benefits for survival and quality of life in a phase 3 study wherein patients undergoing treatment for metastatic cancer received weekly PRO monitoring. In Basch et al’s [16,17] study, the median overall survival increased by 5.2 months in the PRO group when compared to that of the group receiving standard care, and 1-year survival increased by 6.5% in the PRO group.Studies that achieve the successful use of ePROs are characterized by automated, severity-dependent patient advice, like those provided based on the alert algorithm in the INDIGO study. The patient advice will guide patients to either contact health care professionals or undergo self-management. Additionally, the health care professionals can access the patients’ reports. In one study, depending on the severity reported, health care professionals had a predefined period in which to react [17,24-26].
Limitations
First, there are 14 different treatment options, including both immune-checkpoint inhibitors and tyrosine kinase inhibitors, among others, in the INDIGO study. Despite an overlap of side effects among the different treatments, a more specified questionnaire could have been developed for each treatment, which we expect could have been used to detect symptoms earlier. We chose the approach of providing an identical questionnaire to all patients with the expectation that the future will bring more individualized treatment strategies and a demand for a questionnaire that touches on many symptoms without being extensive.Second, the selection of questions for the PRO questionnaire regarding symptoms and side effects in the INDIGO study is not based on a systematic methodology but is based on an expert group’s assessment. A systematic methodology for the selection of PRO-related questions has previously been described in the literature [27].Third, the small number of participants in the INDIGO study limits the power of the results regarding ePROs.
Conclusions
We believe that the addition of the active use of ePROs to the INDIGO study can improve the patients’ trajectories. Our study will contribute further data on personalized medicine for rare types of RCC and provide new knowledge on symptoms reported directly by patients using eHealth tools.
Authors: Anne V Soerensen; Frede Donskov; Gregers G Hermann; Niels V Jensen; Astrid Petersen; Henrik Spliid; Rickard Sandin; Kirsten Fode; Poul F Geertsen Journal: Eur J Cancer Date: 2013-11-08 Impact factor: 9.162
Authors: Ethan Basch; Allison M Deal; Mark G Kris; Howard I Scher; Clifford A Hudis; Paul Sabbatini; Lauren Rogak; Antonia V Bennett; Amylou C Dueck; Thomas M Atkinson; Joanne F Chou; Dorothy Dulko; Laura Sit; Allison Barz; Paul Novotny; Michael Fruscione; Jeff A Sloan; Deborah Schrag Journal: J Clin Oncol Date: 2015-12-07 Impact factor: 44.544
Authors: Nils Kroeger; Wanling Xie; Jae-Lyn Lee; Georg A Bjarnason; Jennifer J Knox; Mary J Mackenzie; Lori Wood; Sandy Srinivas; Ulka N Vaishamayan; Sun-Young Rha; Sumanta K Pal; Takeshi Yuasa; Frede Donskov; Neeraj Agarwal; Christian K Kollmannsberger; Min-Han Tan; Scott A North; Brian I Rini; Toni K Choueiri; Daniel Y C Heng Journal: Cancer Date: 2013-05-21 Impact factor: 6.860
Authors: David F McDermott; Mahrukh A Huseni; Michael B Atkins; Robert J Motzer; Brian I Rini; Bernard Escudier; Lawrence Fong; Richard W Joseph; Sumanta K Pal; James A Reeves; Mario Sznol; John Hainsworth; W Kimryn Rathmell; Walter M Stadler; Thomas Hutson; Martin E Gore; Alain Ravaud; Sergio Bracarda; Cristina Suárez; Riccardo Danielli; Viktor Gruenwald; Toni K Choueiri; Dorothee Nickles; Suchit Jhunjhunwala; Elisabeth Piault-Louis; Alpa Thobhani; Jiaheng Qiu; Daniel S Chen; Priti S Hegde; Christina Schiff; Gregg D Fine; Thomas Powles Journal: Nat Med Date: 2018-06-04 Impact factor: 53.440
Authors: Toni K Choueiri; Thomas Powles; Mauricio Burotto; Bernard Escudier; Maria T Bourlon; Bogdan Zurawski; Victor M Oyervides Juárez; James J Hsieh; Umberto Basso; Amishi Y Shah; Cristina Suárez; Alketa Hamzaj; Jeffrey C Goh; Carlos Barrios; Martin Richardet; Camillo Porta; Rubén Kowalyszyn; Juan P Feregrino; Jakub Żołnierek; David Pook; Elizabeth R Kessler; Yoshihiko Tomita; Ryuichi Mizuno; Jens Bedke; Joshua Zhang; Matthew A Maurer; Burcin Simsek; Flavia Ejzykowicz; Gisela M Schwab; Andrea B Apolo; Robert J Motzer Journal: N Engl J Med Date: 2021-03-04 Impact factor: 91.245
Authors: Robert Motzer; Boris Alekseev; Sun-Young Rha; Camillo Porta; Masatoshi Eto; Thomas Powles; Viktor Grünwald; Thomas E Hutson; Evgeny Kopyltsov; María J Méndez-Vidal; Vadim Kozlov; Anna Alyasova; Sung-Hoo Hong; Anil Kapoor; Teresa Alonso Gordoa; Jaime R Merchan; Eric Winquist; Pablo Maroto; Jeffrey C Goh; Miso Kim; Howard Gurney; Vijay Patel; Avivit Peer; Giuseppe Procopio; Toshio Takagi; Bohuslav Melichar; Frederic Rolland; Ugo De Giorgi; Shirley Wong; Jens Bedke; Manuela Schmidinger; Corina E Dutcus; Alan D Smith; Lea Dutta; Kalgi Mody; Rodolfo F Perini; Dongyuan Xing; Toni K Choueiri Journal: N Engl J Med Date: 2021-02-13 Impact factor: 91.245