Abstract
Patient-reported outcomes (PROs) are an important tool to assess the impact of a new therapy on symptom burden and health-related quality of life (HRQoL). Chimeric Antigen Receptor-T (CAR-T) cell therapies have been approved for use in relapsed or refractory leukemia and lymphoma based on promising efficacy in clinical trials. However, there is a lack of data on patient-reported toxicity and impact on HRQoL. This review provides an overview of the incorporation of PROs in CAR-T cell therapy and the specific challenges in this context. The first step is to demonstrate feasibility of PRO monitoring in the acute phase after CAR-T cell infusion. Apart from core PRO domains like physical functioning, disease-related symptoms and symptomatic adverse effects, important measures to consider are cognitive functioning and financial toxicity. Since there are no validated PRO instruments in the setting of CAR-T cell therapy, universally validated measures like PROMIS (Patient-Reported Outcomes Measurement Information System) could be considered, which is also recommended in the setting of hematopoietic stem cell transplantation. Given the timeline of toxicities with CAR-T cell therapy, PRO instruments should be administered at baseline and at least weekly in the first 30 days. Subsequently, frequent monitoring of PROs in the first year might be helpful in identifying short and intermediate-term toxicities, functional limitations and neuropsychiatric effects. The major potential challenge in acute phase would be missing data when patients develop severe cytokine release syndrome or neurotoxicity. Designing a strategy for handling missing data is crucial. The long-term safety of CAR-T cell therapy is not well-characterized due to short follow-up in most studies reported thus far. PROs should be measured at least yearly after the 1st year to identify potential late effects like cognitive deficit or auto-immune manifestations. Collaboration between institutions performing cellular therapy and engagement with patients, clinicians and statisticians with expertise in PROs is crucial for setting a comprehensive agenda on integration of PROs with CAR-T cell therapy.
Graphical Abstract

I. Introduction
The development of chimeric antigen receptor-T (CAR-T) cell therapy has revolutionized the treatment of relapsed and refractory malignancies. The Food and Drug Administration (FDA) has approved CD-19 CAR-T cell therapy for treatment of relapsed or refractory B-cell acute lymphoblastic leukemia (ALL) and diffuse large B-cell lymphoma (DLBCL) based on impressive response rates in registration studies1,2. Several clinical trials on CAR-T cells are currently ongoing in multiple hematologic and solid malignancies and the common toxicities associated with this therapy have been well described. However, as clinical trials on CAR-T cells continue to mature with further data on durability of remission and long-term toxicity, it is also critical to measure the patients’ perspective on symptom burden and overall well-being. Patient-reported outcomes (PROs) are a method of measuring health status by information obtained directly from the patient without clinician interpretation. PROs can be used to assess symptom burden, health-related quality of life (HRQoL), comparative effectiveness of treatment strategies and quality of care3. From prior experience in solid tumors and hematopoietic stem cell transplantation (HSCT), we have learned that PROs are a better indicator of treatment toxicity compared to clinician-reported outcomes4–8. Furthermore, multiple randomized controlled trials (RCTs) have demonstrated that systematic surveillance of PROs during cancer therapy leads to improved HRQoL and overall survival (OS)9,10. Information obtained from PROs is highly valued by patients and physicians alike and leads to increased engagement of patients with the healthcare team11.
CAR-T cell therapy is associated with a unique toxicity profile due to activation of the immune system after infusion of engineered T-cells. Although we have a fair amount of data on the acute toxicities of CAR-T cell therapy like cytokine release syndrome (CRS) and CAR-T related encephalopathy syndrome (CRES), certain critical questions from the patients’ perspective remain unanswered: When do patients experience peak symptom burden and how does the trajectory of symptoms look like after CAR-T cell infusion? When can patients expect their physical functioning to return to baseline? What is the impact of therapy on psychosocial health and functioning? Are there any potential long-term effects of therapy? Without rigorously incorporating PRO assessment, we risk missing patients’ perspective of toxicity and efficacy with this new treatment modality. In addition, the U.S. FDA now recognizes PROs as a measure of clinical benefit when pharmaceutical companies seek approval for their products. In the era of value-based medicine, the concept of “clinically meaningful benefit” will be held to higher standards, including demonstration of improvement in PROs in addition to traditional outcomes like response rate, progression-free survival and overall survival (OS).
In this review, we will outline an agenda for incorporation of PROs in different phases of CAR-T cell therapy, propose the time points for measurement of PROs after CAR T-cell therapy (Figure I) and identify the challenges of routinely incorporating PRO measures specific to this therapy.
Figure I.
Potential time-points for measurement of patient-reported outcomes with chimeric antigen receptor-T cell therapy.
QoL: Quality of Life; W indicates Week and M indicates Month
II. Phases of Therapy
Pre-infusion phase
The pre-infusion phase of CAR-T cell therapy consists of optimal patient selection, successful cell manufacturing and administration of lymphodepleting chemotherapy. Currently, most patients arrive to CAR-T cell therapy with relapsed or refractory disease after exhausting multiple lines of treatment. Patients may have existing deficits in multiple dimensions of HRQoL like physical and social functioning due to the disease itself and cumulative toxicity of prior therapies. Furthermore, the long-term implications of therapy, as to whether CAR-T cells will be curative, a bridge to definitive treatment like HSCT in certain malignancies or only provide durable disease control is not known at present12. This can potentially generate anxiety and distress among patients and caregivers.
Two large meta-analyses in solid tumors have shown that baseline PROs are important predictors of OS13,14. The most common PROs which predicted for OS in these studies were global QoL, physical functioning and specific symptoms like appetite loss, fatigue and pain. In a meta-analysis by Quinten et al which included individual patient data from 30 EORTC (European organization for Research and Treatment of Cancer) clinical trials, baseline PRO and not clinician-reported performance status (PS) was a significant predictor of OS in multivariable analysis14. In the setting of HSCT, pre-transplant PROs are known to be associated with post-transplant outcomes15–18. Poor patient-reported physical functioning prior to HSCT and decline in physical functioning early after HSCT are associated with a higher overall mortality18. Pre-transplant depression is also associated with lower OS, higher incidence of acute graft-versus-host-disease (aGVHD) and increased duration of hospitalization in the first 100 days after HSCT19. Furthermore, baseline PROs are valuable for longitudinal analysis of HRQoL trajectory and identification of meaningful benefit or harm from treatment. A meta-analysis by Victorson et al showed that improvement in PRO with therapy correlated well with radiographic complete or partial response in solid tumors20. However, the duration of PRO response was found to be shorter than that of radiographic response, which implies that change in PROs with time might be a more sensitive indicator of disease progression.
Based on available literature in other malignancies and treatment settings, baseline PROs should be routinely captured in patients undergoing CAR-T cell therapy. The objective would be to identify targetable deficits in HRQoL, such as high psychosocial distress, poor physical functioning or high symptom burden. Furthermore, as data matures, specific PRO measures which are most sensitive to change over time can be identified for development of novel patient-centered endpoints. Early symptoms might also be predictive for impending CRS or CRES. The impact of baseline PRO on overall survival and post-treatment HRQoL can also be assessed in future studies.
Acute Phase
The acute toxicities commonly observed after CAR-T cell infusion includes CRS and CRES. CRS is the most common toxicity with incidence of all-grade events ranging from 57–93% and grade 3 or higher events from 13–32% in current trials2,21–24. The most common symptoms of CRS include pyrexia, hypotension, and hypoxia25. In clinical trials thus far, the median time from infusion of CAR-T cells to development of CRS has been around 2–4 days, with the duration of CRS being 5–6 days2,21. Tocilizumab, a humanized monoclonal antibody against Interleukin (IL)-6 receptor is a preferred therapy for the treatment of CRS, apart from supportive care25. In a clinical trial testing tocilizumab prior to allogeneic stem cell transplantation for aGVHD prophylaxis, patients were found to have significantly worse anxiety, depression, pain and sleep compared to historical controls in the short term after transplantation26. Neurologic toxicity or CRES typically manifests as decreased attention span, language disturbance and impaired handwriting. It can also have potentially severe manifestations including obtundation, seizures and cerebral edema25,27. The incidence of all-grade and ≥grade 3 CRES has ranged from 29–64% and 11–42% respectively in clinical trials thus far2,21–24. CRES can manifest within 5 days of infusion concurrently with CRS or can be delayed in some cases, typically after CRS has resolved25. The CAR-T-cell-Therapy-Associated-Toxicity (CARTOX) working group recommends hospitalization for a period of at least 7 days following infusion to monitor closely for potentially severe toxicities. Most clinical trials in CAR-T cell therapies thus far have mandated a minimum duration of hospitalization. In the CAR-T cell study on chronic lymphocytic leukemia (CLL), the median duration of hospitalization was 9 days (range, 0–49 days)24. Data on real world incidence of acute toxicities and duration of hospitalization with the use of FDA-approved CAR-T cell therapies will provide a better understanding of tolerability.
Although the timeline and biology of toxicity is different, the overall trajectory of acute toxicity following CAR-T cell infusion resembles that of HSCT. Monitoring of patient-reported symptoms and HRQoL is feasible in the acute setting of first 100 days after HSCT, with compliance rates of more than 90%28. Furthermore, toxicities like aGVHD after HSCT can lead to a durable decline in HRQoL29, which highlights the importance of measuring patients’ perspective to identify important determinants of QoL. Blinatumomab, a bi-specific monoclonal antibody which activates T-cells, is also known to cause CRS in 2–5% of patients with relapsed or refractory B-ALL30,31. In the phase III TOWER study comparing blinatumomab with chemotherapy in heavily pre-treated B-ALL, baseline and ≥1 post-baseline HRQoL measurement was completed by 91% of patients, which demonstrates the feasibility of obtaining PROs in this patient population receiving immunotherapy32. In patients receiving CAR-T cell therapy, to the best of our knowledge, there are no published data on feasibility of PRO monitoring in the acute phase. Hence, longitudinal studies on PRO monitoring in the acute phase of CAR-T cell infusion should be conducted to demonstrate feasibility and identify important symptoms or concerns that are bothersome to patients and affect their HRQoL. Furthermore, it will help in comprehensive evaluation of neuropsychiatric manifestations from the use of IL-6 antagonists and corticosteroids in the acute phase. The biology of IL-6 receptor modulation and impact on physical and mental health is complex33 and valuable insights could be gained by incorporating patients’ direct input. PRO measurement should be done at least once a week in the acute phase. However, to be able to potentially predict impending CRS or CRES, PROs could be monitored more frequently, like daily or every other day in the acute phase following CAR-T infusion. Pilot studies on PROs as a clinical trigger for comprehensive toxicity assessment should be done to explore this hypothesis. This might be particularly important in the context of outpatient CAR-T cell infusion and monitoring, which is being done with certain CAR constructs like 4–1BB34. One of the potential challenges in the acute phase of CAR-T cell therapy will be missing data in periods when patients develop encephalopathy or severe CRS. This will be discussed in more details in the section on “Challenges”.
The toxicity profile of CAR-T cells in the context of solid tumors might be different from that in hematologic malignancies. The engraftment and proliferation of CAR-T-cells in solid tumors have been found to be low compared to that in leukemia, resulting in low incidence of “on-target on-tumor” toxicities like CRS35,36. However, fatal “on target off-tumor” toxicity has been noted in solid tumors, for example, severe pulmonary toxicity with ERBB2 CARs noted in a patient with metastatic colon cancer37. Hence, the trajectory of toxicities and potential time-points for measurement of PROs in the context of solid tumors remain unclear as of yet.
Financial toxicity due to the high cost of CAR-T cell therapy can potentially lead to increased emotional distress and maladaptive coping, which can adversely affect health outcomes38,39. The price of the CAR-T product ranges from $373,000–$475,000 for currently approved agents. This, however, does not account for additional procedures including lymphodepleting chemotherapy, leukapheresis, management of toxicities like CRS and frequent follow-up visits after hospital discharge. A cost-analysis study has shown that the non-drug cost in patients with CRS is approximately $56,000 higher compared to those without CRS. Furthermore, the proposed outcomes-based pricing arrangement of CAR-T cell therapy does not reimburse the nondrug cost in situations where therapy fails to induce a response40. The out-of-pocket expenditure for patients might vary depending upon their insurance coverage. Hence, screening for financial toxicity could be done using PRO instruments like COST (COmprehensive Score for financial Toxicity)41. It can initiate a conversation between patients and clinicians and facilitate referral to social worker or care navigators who are generally better equipped in handling financial burden issues39. In the long run, it can also provide valuable data to negotiate reimbursement issues with payers including private insurance companies and Centers for Medicare and Medicaid Services (CMS).
The toxicity of treatment, both physical and financial, also impacts caregivers in addition to patients. Caregiver well-being should be taken into consideration while evaluating the outcomes of CAR-T cell therapy. In the setting of HSCT, a large study on more than 800 caregiver-recipient pairs has shown that 1 in 5 caregivers has poor QoL compared to the general population norm. Furthermore, the incidence of depression and sleep disorders was more common in caregivers compared to the general population42. Studies measuring PROs in caregivers of CAR-T cell recipients, especially in the acute phase when major toxicities are anticipated, are needed to better identify specific caregiver populations that might benefit from interventions directed to improve QoL.
Long-term impact
Based on available data thus far, it is unclear whether CAR-T cell therapies will be potentially curative in some cancers or a bridge to a more definitive therapy like HSCT 12. One of the longest follow-ups reported thus far has been from the MSKCC group on the efficacy and toxicity of 19–28z CAR-T cells in relapsed B-ALL22. At a median follow-up of 29 months, the median event-free survival (EFS) and OS in this trial was 6 and 13 months respectively. Although patients who achieved minimal residual disease (MRD) negativity had a superior EFS and OS, 50% with MRD negative complete response have already experienced relapse. With data on longer follow-up in large cohorts, we will have precise estimates of the likelihood of relapse over time and optimal post-remission therapeutic strategies in the context of different malignancies. Based on the meta-analysis by Victorson et al, which showed that change in PROs might be a sensitive indicator of disease relapse20, longitudinal monitoring of PROs after CAR-T cell therapy might help improve outcomes by earlier detection of relapse when patients are in a better PS and eligible for intensive therapies.
Potential long-term concerns after CAR-T cell therapy include increased risk of infection due to B-cell aplasia with CD-19 CARs or plasma cell aplasia with B-cell maturation antigen (BCMA)-CARs, residual cognitive deficit in patients experiencing CRES, emergence of new or exacerbation of existing auto-immune toxicities and development of recurrent or second primary malignancies. Furthermore, PROs might be a sensitive tool to capture potential change in disease-related symptoms after CAR-T cell therapy. Older adults might be at a higher risk of cognitive dysfunction, which is clinically relevant in certain patient populations like MM, with a median age at diagnosis of 69 years43. Another important concern for patients is return to work after therapy. Studies in the HSCT setting have shown that 30–60% of patients return to work by 1 year post-transplant44,45. Similar data in the context of CAR-T therapy will be informative for patients, especially with comparative effectiveness studies of CAR-T versus autologous HSCT already underway in relapsed non-Hodgkin lymphoma. Data on long-term neuropsychiatric manifestations and emotional sequelae of CAR-T cell therapy and associated toxicities by consistent and standardized PRO measurement will also be valuable for survivorship care in this patient population.
The duration of PRO monitoring after CAR-T cell therapy to identify its long-term impact is not yet defined and will partly depend on the goal and outcome of therapy. For example, if it proves to be curative in a situation, long-term PRO monitoring to identify late effects will be important. On the other hand, if the intent of treatment is to delay progression and patients receive multiple lines of therapy after CAR-T cells, data on long-term PRO measures will be contaminated by toxicity of other treatments. For example, preliminary results from the bb121 CAR-T cell therapy in MM showed a median progression-free survival of 11.8 months46, which implies that a large number of patients will subsequently receive non-transplant novel agents at relapse. Important aspects to consider while interpreting long-term PRO data would be subsequent therapies (which might include HSCT), disease status and response shift.
III. Specific Challenges in the Context of CAR-T Cell Therapy:
How to select the domains and instruments to measure PROs?
Successful PRO measurement provides maximal information about patients’ health status with a minimal burden to patients and caregivers. Electronic PRO (ePRO) monitoring is feasible and has been implemented at many institutions and health care systems. Integration of ePRO with electronic medical records can provide easy access to clinicians and generate research quality data47,48.
The PRO domains of interest while designing a study in patients receiving CAR-T cell therapy will depend on the disease and impact of therapy. For example, in patients with MM, bone pain, neuropathy, and fatigue might be important determinants of HRQoL and should be followed longitudinally to assess the impact of therapy on these symptoms. Furthermore, the toxicity profile can vary depending upon the CAR construct, pre-infusion disease burden, CAR-T cell dose, lymphodepleting chemotherapy and use of bulk CD8+T-cell selection25,34,49. The core PRO domains which are important contributors to HRQoL and can be measured with contemporary instruments include physical functioning, disease-related symptoms and symptomatic AEs50. The National Cancer Institute’s Symptom Management and HRQoL steering committee has outlined a set of 12 core PRO-relevant symptoms, which can serve as a guide for inclusion in clinical trials51.
There are a wide variety of instruments designed for measuring PROs, which can be broadly classified into two categories: universal and disease-specific measures. Universal measures are typically designed in a large population of patients with a variety of chronic conditions. Commonly used universal measures include Medical Outcomes Trust Short-Form-36 (SF-36), Euro-QoL EQ-5D and Patient-Reported Outcomes Measurement Information System (PROMIS). SF-36 is a 36-item survey containing several domains, including physical functioning, role functioning, bodily pain, general health perceptions, vitality, social functioning, and general mental health. It generates physical and mental component summary scores, which can be compared with normative scores for general population52. EQ-5D is a generic questionnaire used to measure overall health status and contains 5 dimensions (mobility, self-care, usual activities, pain or discomfort, and anxiety or depression)53. It is a standardized instrument for measuring generic health status and has been widely used for cost-utility analysis. PROMIS questionnaires have been developed using advanced qualitative and quantitative methods and validated in multiple chronic conditions including cancer54–57. Apart from global health questionnaires, PROMIS offers several item banks on important disease related symptoms like fatigue, neuropathy, dyspnea, and cognitive deficit, which can be used to generate customizable hypothesis-driven instruments. Cancer-specific measures which are commonly used in research and clinical practice include Functional assessment of Cancer Therapy-General (FACT-G) and EORTC-Quality of Life Questionnaire (EORTC-QLQ-C30). The EORTC QLQ-C30 questionnaire includes 5 functional scales (physical, role, cognitive, emotional and social), 3 symptom scales (fatigue, pain and nausea/vomiting), a global health/QoL scale and 6 single items for common chemotherapy-related symptoms (dyspnea, sleep disturbance, appetite loss, constipation, diarrhea and financial impact)58. FACT-G contains a total of 27 questions divided into 4 core subscales: physical well-being, social well-being (SWB), emotional well-being and functional well-being59. Even among cancer-specific instruments like FACT-G and EORTC-QLQ-C30, there are differences in scale domains, scale structure and concept or tone of specific measures. For example, SWB (Social Well-Being) domain of FACT-G focusses on social support and relationships, whereas, SF (Social Functioning) domain of EORTC-QLQ-C30 focusses more on the impact of therapy on social activities60.
Currently ongoing clinical trials in CAR-T cell therapy (Table I) are using both cancer-specific instruments like EORTC-QLQ-C30 and universal instruments like PROMIS and Euro-QoL EQ-5D. Furthermore, PRO version of Common Terminology Criteria for Adverse Events (CTCAE) is also being used for toxicity assessment in certain studies. Clinical trials on CAR-T cells are currently measuring PROs up to 15 years from infusion. An optimal PRO instrument should be valid, reliable, responsive to change and generalizable to the target patient population50,61. Furthermore, from a pragmatic standpoint, ease of interpretation of PRO data generated by the desired instrument is critical for increased uptake by clinicians. The use of a similar core questionnaire for measuring PROs in patients receiving CAR-T therapy is important to reduce heterogeneity and facilitate cross-study comparison. In the setting of HSCT, the Center for International Blood and Marrow Transplant Research (CIBMTR) recommends using PROMIS as a core questionnaire in future studies due to its high correlation with traditional measures like SF-36, ease of comparison with general population and free availability62,63. PROMIS-29 can be used as a global profile since it covers important dimensions of HRQoL including physical function, fatigue, anxiety, depression, pain, social well-being and sleep. Furthermore, PROMIS measures also have computerized adaptive testing which can generate dynamic questionnaires accommodating a broad range of patient functioning. On the other hand, cancer-specific measures like FACT might have some advantages including availability of historical data in different cancer subtypes for comparison and tumor-specific supplements like FACT-MM which can added to the core questionnaire depending on the context. Another important tool which could be incorporated for better assessment of treatment toxicity is the PRO version of Common Terminology Criteria for Adverse Events (PRO-CTCAE)64. PRO-CTCAE contains approximately 10% of items included in CTCAE, including 78 symptomatic adverse effects. Relevant adverse effects can be selected individually for inclusion a study. The use of PRO-CTCAE to generate mean symptom scores in the acute phase of HSCT is feasible with a high compliance rate28, which lays the groundwork for its use in the acute phase of CAR-T cell therapy. If this tool is used, an important question going forward would be which of the 78 toxicities to include to minimize patient burden, while still gathering important AEs. Data from clinical trials describing physician reported AEs and pilot studies of patient-reported AEs may provide direction.
Table I.
List of currently ongoing clinical trials in CAR-T cell therapy with PROs as an endpoint
| Clinicaltrials.gov ID | Disease | PRO Instrument (Measures and Domains) | PRO Administration Time-point |
|---|---|---|---|
| NCT03086954 | CD-19 positive Lymphoma | EORTC quality of life of the core scale criteria QLQ-C30(V3.0) | Time-Frame: 3 years |
| NCT03144583 | CD-19+ Leukemia or Lymphoma | Not provided | Time-Frame: Month 3, 6, 12 |
| NCT02919046 | Neuroblastoma | EORTC quality of life measurement scale PedsQL4.0 children’s quality of life of the core scale of the evaluation and comparison of physical condition before and after treatment | Time-Frame: 3 years |
| NCT03355859 | B-cell NHL | Not provided | Time-Frame: 2 years |
| NCT03030001 | Mesothelin positive advanced malignancies | Not provided | Time-Frame: 6 months |
| NCT02690545 | CD30+ HL and NHL | NCI PRO-CTCAE, PROMIS GHS SF v1.0–1.1 (10-item), PROMIS Physical Function SF20a | At baseline and over time |
| NCT03361748 | Multiple Myeloma | EORTC-QLQ-C30, Euro-QoL-EQ-5D-5L and EORTC-QLQ-MY20 | Time-Frame: Minimum of 24 months post-infusion |
| NCT03207178 | B-cell Lymphoma | Not provided (Domains: Appetite, Sleep, Pain and Mental State) | Time-Frame: 1 year |
| NCT03179007 | MUC1 positive advanced solid tumors | Not provided | Time-Frame: 2 years |
| NCT03182816 | EGFR positive advanced solid tumors | EORTC-QLQ-C30 | Time-Frame: 2 years |
| NCT03182803 | Mesothelin-positive advanced solid tumors | EORTC-QLQ-C30 | Time-Frame: 2 years |
| NCT02208362 | Malignant glioma | EORTC-QLQ-C30 and EORTC-QLQ-BN20 | Time-Frame: 15 years [Estimate the mean and standard error for change from baseline during treatment and post treatment in the quality of life functioning scale, symptom scale and item scores from the EORTC QLQ-C30 and the domain scale and items scores from the QLQ-BN20] |
| NCT03484702 | Aggressive B-cell NHL | EORTC-QLQ-C30, Euro-QoL-EQ-5D-5L and FACT-Lym | Time-Frame: 2 years |
| NCT03016377 | ALL | NCI PRO-CTCAE, PROMIS GHS SF v1.0–1.1 (10-item), PROMIS Physical Function SF20a | Time-Frame: 15 years |
| NCT03310619 | B-cell Malignancies | EORTC-QLQ-C30 and Euro-QoL-EQ-5D-5L | Time-Frame: 2 years |
| NCT03331198 | CLL/SLL | EORTC-QLQ-C30, Euro-QoL-EQ-5D-5L and QLQ-CLL | Time-Frame: 2 years |
| NCT03483103 | Aggressive B-cell NHL | EORTC-QLQ-C30 and Euro-QoL-EQ-5D-5L | Time-Frame: 2 years |
Abbreviations: CAR-T: Chimeric antigen receptor-T cell. EORTC: European Organization for Research and Treatment of Cancer. QLQ-C: Quality of Life Questionnaire-Cancer. NCI: National Cancer Institute. PRO-CTCAE: Patient-Reported Outcome-Common Terminology Criteria for Adverse Events. PROMIS: Patient Reported Outcomes Measurement Information System. GHS: Global Health Survey. NHL: Non-Hodgkin’s Lymphoma. CLL: Chronic Lymphocytic Leukemia. SLL: Small Lymphocytic Lymphoma. ALL: Acute Lymphoblastic Leukemia. EGFR: Epidermal Growth Factor Receptor.
The development of an ideal PRO measure which is psychometrically robust and clinically relevant consumes time and resource. With availability of universal measurement systems like PROMIS and PRO-CTCAE which have been adequately validated in cancer population, investigators can develop customized instruments to assess feasibility of PRO monitoring in the context of CAR-T cell therapy. Given the uniqueness of its toxicity profile, the specific things that we want to measure may not be incorporated in just one scale. Hence, the choice of item banks should depend on the hypothesis of a study. Pilot studies to establish feasibility along with input from key stakeholders including patients are urgently needed for standardization of PRO measurement in future clinical trials of CAR-T cell therapy.
How to handle Missing Data?
Missing data (MD) can impose a statistical challenge in interpretation of PROs and introduce bias if the amount of MD is substantial. The PRO extension of Consolidated Standards of Reporting Trials (CONSORT-PRO) requires the statistical approaches for dealing with missing data to be categorically mentioned in the study protocol65. In patients receiving CAR-T cell therapy, it is expected that at least one-third will develop severe CRS or CRES, which might compromise their ability to complete PRO instruments at certain time points in the acute phase. Furthermore, at present, patients are mostly travelling to referral centers for CAR-T cell therapy, where they are typically followed in the acute phase, followed by transition of care to local oncologists. This can result in generation of MD in the long-term. The statistical methods to handle missing data has been reviewed elsewhere66 and is beyond the scope of this paper. Investigators should consider the following pragmatic issues while designing their PRO study in patients receiving CAR-T cell therapy. First, it is important to avoid generation of significant MD by training study personnel, monitoring data compliance in real-time and designing a thoughtful PRO assessment schedule. Second, it is critical to capture auxiliary data to supplement PRO data at missing time points. In the acute phase of therapy, assessment and grading of CRS by one of the grading algorithms and neurologic assessment by CARTOX-10 should be performed at regular intervals25. Since clinician-reported toxicity might be strongly related to the missing data mechanism and outcome, it can function as a proxy for PRO in the appropriate context. It can also be used for multiple imputation and sensitivity analysis. A systematic review on caregiver or proxy responses in adult cancer care has shown mixed results, with clinically important variability67. Hence, the role of proxy PRO response from caregivers in the setting of severe toxicity precluding completion of PRO instrument by patients remain uncertain. Third, the reasons for missing HRQoL questionnaires should be documented to identify the mechanism and pattern of MD. In summary, it is crucial to reduce the magnitude of MD and develop strategies for handling MD while designing PRO studies in recipients of CAR-T cell therapy, especially given the high anticipated incidence of acute toxicities. Furthermore, to avoid survey fatigue especially in the acute phase, designing optimal instruments which are reliable and pose minimal burden to patients is important.
How to handle response shift?
Response shift (RS), a well-recognized phenomenon in quality of life research, is defined as a change in individual’s value, internal standards, and conceptualization of HRQoL, which can make longitudinal comparison challenging68,69. In long-term survivors of HSCT, this phenomenon is well documented, with patients reporting improved psychological and interpersonal growth after transplant despite having a profound negative impact on physical functioning70,71. Although the long-term trajectory of patients receiving CAR-T cell therapy is not known at present, there is a potential for long-lasting remission and possibly cure in a subset of patients. Two commonly used methods for longitudinal analysis of HRQoL are linear mixed model for repeated measures (LRMM) and time-to-event analysis (TTD). One way to address RS is by considering the best previous score instead of baseline score as the reference value in TTD analysis68,69. The International Society of Quality of Life (ISOQOL) has created a special interest group to understand when and why RS occurs, which will enable investigators to recognize and account for RS in appropriate circumstances and develop methodological solutions for dealing with RS. Investigators and clinicians need to be cognizant of this phenomenon while interpreting long-term HRQoL data after CAR-T cell therapy.
IV. General Barriers to Implementation:
The barriers to implementation of PRO has been broadly divided into 2 categories: logistical and technological issues47. Despite robust evidence of the utility of PROs, integrating PRO assessment with routine oncology care remains challenging. It requires engagement of physician and ancillary staff along with a smooth operational workflow. Several institutions and health care systems have successfully integrated ePRO assessment into their workflow, which can inform us regarding the challenges and strategies for successful implementation48. One of the critical components for successful integration of PRO is designing a mechanism to address the issues raised by patients without overwhelming the administrative burden for caregivers. In the organization-wide PRO initiative at Dartmouth-Hitchcock48, one of the key implementation steps is to categorically define roles in the clinic regarding who will be looking at the PRO data and how will that data be used. Clinical trials measuring PROs with CAR-T cell therapy should explicitly mention in the protocol whether collection of data will be solely for research purposes or inform real-time patient care. One of the potential challenges could be that patients may travel to referral centers for CAR-T cell therapy and then transition back to local centers. In that setting, details on who will collect and follow the long-term PRO data should be decided a priori. Our general recommendations on incorporation of PRO in CAR-T cell therapy, both in the setting of clinical trials and routine practice is summarized in Box I.
We recommend measuring PROs at baseline prior to lymphodepleting chemotherapy, at least weekly in the acute phase after CAR-T cell infusion, monthly until 1 year and yearly thereafter.
Core PRO domains to consider are physical functioning, disease symptoms and symptomatic AEs. Since neurotoxicity is a unique adverse effect of CAR-T cell therapy, measurement of cognitive functioning can be considered.
PROMIS questionnaires should be considered for measurement of PROs in CAR-T recipients, which will help in standardization and enable comparative effectiveness studies. Measurement of symptomatic AEs with PRO-CTCAE can provide valuable information on tolerability.
Missing PRO data should be minimized and reasons for missing data should be clearly documented. In the acute phase, when severe toxicity in expected, auxiliary data like CARTOX-10 assessment and CRS grading will be helpful in statistical analysis.
Qualitative studies like structured interviews and focus groups should be performed to obtain direct patient input on PRO domains and instruments.
V. Conclusion
With overwhelming evidence regarding the value of PRO assessment in cancer, it is our responsibility to measure patients’ perspective of the impact of new treatments on their overall health and well-being. Multi-institutional collaboration and creation of a centralized database is needed to characterize core PRO domains including physical function, symptomatic AEs and disease-related symptoms in patients receiving CAR-T cell therapies. Rigorously developed universal PRO tools like PROMIS and PRO-CTCAE are already available that can be used in CAR-T clinical trials. As multiple targets for CAR-T cells are being recognized in various malignancies, future comparative effectiveness studies evaluating different CAR constructs, cell dose, target antigen and conditioning chemotherapy can use PROs as an endpoint for evaluation of toxicity and HRQoL. Qualitative studies like focus groups and structured interviews should be conducted to obtain direct patient input regarding PRO instruments and domains, which will ensure that we are measuring what really matters to our patients.
Highlights:
Measurement of PROs with CAR-T cell therapy will provide valuable information on HRQoL.
Core PRO domains to consider are physical functioning, disease symptoms and symptomatic AEs.
Consistent use of universal PRO instruments like PROMIS and PRO-CTCAE is essential to achieve standardization.
Qualitative studies are needed to identify PRO domains that are meaningful to patients.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Maude SL, Laetsch TW, Buechner J, et al. Tisagenlecleucel in Children and Young Adults with B-Cell Lymphoblastic Leukemia. New England Journal of Medicine 2018;378:439–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Neelapu SS, Locke FL, Bartlett NL, et al. Axicabtagene Ciloleucel CAR T-Cell Therapy in Refractory Large B-Cell Lymphoma. New England Journal of Medicine 2017;377:2531–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Basch E New frontiers in patient-reported outcomes: adverse event reporting, comparative effectiveness, and quality assessment. Annual review of medicine 2014;65:307–17. [DOI] [PubMed] [Google Scholar]
- 4.Di Maio M, Basch E, Bryce J, Perrone F. Patient-reported outcomes in the evaluation of toxicity of anticancer treatments. Nature reviews Clinical oncology 2016;13:319–25. [DOI] [PubMed] [Google Scholar]
- 5.Pidala J, Kurland B, Chai X, et al. Patient-reported quality of life is associated with severity of chronic graft-versus-host disease as measured by NIH criteria: report on baseline data from the Chronic GVHD Consortium. Blood 2011;117:4651–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Pidala J, Kurland BF, Chai X, et al. Sensitivity of changes in chronic graft-versus-host disease activity to changes in patient-reported quality of life: results from the Chronic Graft-versus-Host Disease Consortium. Haematologica 2011;96:1528–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Basch E, Jia X, Heller G, et al. Adverse symptom event reporting by patients vs clinicians: relationships with clinical outcomes. Journal of the National Cancer Institute 2009;101:1624–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Atkinson TM, Li Y, Coffey CW, et al. Reliability of adverse symptom event reporting by clinicians. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation 2012;21:1159–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Basch E, Deal AM, Dueck AC, et al. Overall Survival Results of a Trial Assessing Patient-Reported Outcomes for Symptom Monitoring During Routine Cancer Treatment. Jama 2017;318:197–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Denis F, Lethrosne C, Pourel N, et al. Randomized Trial Comparing a Web-Mediated Follow-up With Routine Surveillance in Lung Cancer Patients. Journal of the National Cancer Institute 2017;109. [DOI] [PubMed]
- 11.Stover A, Irwin DE, Chen RC, et al. Integrating Patient-Reported Outcome Measures into Routine Cancer Care: Cancer Patients’ and Clinicians’ Perceptions of Acceptability and Value. EGEMS (Washington, DC) 2015;3:1169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.June CH, Sadelain M. Chimeric Antigen Receptor Therapy. New England Journal of Medicine 2018;379:64–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Gotay CC, Kawamoto CT, Bottomley A, Efficace F. The prognostic significance of patient-reported outcomes in cancer clinical trials. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2008;26:1355–63. [DOI] [PubMed] [Google Scholar]
- 14.Quinten C, Coens C, Mauer M, et al. Baseline quality of life as a prognostic indicator of survival: a meta-analysis of individual patient data from EORTC clinical trials. The Lancet Oncology 2009;10:865–71. [DOI] [PubMed] [Google Scholar]
- 15.Braamse AM, Gerrits MM, van Meijel B, et al. Predictors of health-related quality of life in patients treated with auto- and allo-SCT for hematological malignancies. Bone marrow transplantation 2012;47:757–69. [DOI] [PubMed] [Google Scholar]
- 16.Hamilton BK, Law AD, Rybicki L, et al. Prognostic significance of pre-transplant quality of life in allogeneic hematopoietic cell transplantation recipients. Bone marrow transplantation 2015;50:1235–40. [DOI] [PubMed] [Google Scholar]
- 17.Shaw BE, Brazauskas R, Millard HR, et al. Centralized patient-reported outcome data collection in transplantation is feasible and clinically meaningful. Cancer 2017;123:4687–700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wood WA, Le-Rademacher J, Syrjala KL, et al. Patient-reported physical functioning predicts the success of hematopoietic cell transplantation (BMT CTN 0902). Cancer 2016;122:91–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.El-Jawahri A, Chen YB, Brazauskas R, et al. Impact of pre-transplant depression on outcomes of allogeneic and autologous hematopoietic stem cell transplantation. Cancer 2017;123:1828–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Victorson D, Soni M, Cella D. Metaanalysis of the correlation between radiographic tumor response and patient-reported outcomes. Cancer 2006;106:494–504. [DOI] [PubMed] [Google Scholar]
- 21.Lee DW, Kochenderfer JN, Stetler-Stevenson M, et al. T cells expressing CD19 chimeric antigen receptors for acute lymphoblastic leukaemia in children and young adults: a phase 1 dose-escalation trial. Lancet (London, England) 2015;385:517–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Park JH, Riviere I, Gonen M, et al. Long-Term Follow-up of CD19 CAR Therapy in Acute Lymphoblastic Leukemia. The New England journal of medicine 2018;378:449–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Schuster SJ, Svoboda J, Chong EA, et al. Chimeric Antigen Receptor T Cells in Refractory B-Cell Lymphomas. The New England journal of medicine 2017;377:2545–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Turtle CJ, Hay KA, Hanafi LA, et al. Durable Molecular Remissions in Chronic Lymphocytic Leukemia Treated With CD19-Specific Chimeric Antigen Receptor-Modified T Cells After Failure of Ibrutinib. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2017;35:3010–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Neelapu SS, Tummala S, Kebriaei P, et al. Chimeric antigen receptor T-cell therapy - assessment and management of toxicities. Nature reviews Clinical oncology 2018;15:47–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Knight J, Costanzo ES, Singh S, et al. 295 - Pre-Transplant Tocilizumab is Associated with More Severe Depression, Anxiety, Pain, and Sleep Following Allogeneic Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation 2018;24:S260–S1. [Google Scholar]
- 27.Kean LS. Defining success with cellular therapeutics: the current landscape for clinical end point and toxicity analysis. Blood 2018;131:2630–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wood WA, Deal AM, Abernethy A, et al. Feasibility of frequent patient-reported outcome surveillance in patients undergoing hematopoietic cell transplantation. Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation 2013;19:450–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Lee SJ, Kim HT, Ho VT, et al. Quality of life associated with acute and chronic graft-versus-host disease. Bone marrow transplantation 2006;38:305–10. [DOI] [PubMed] [Google Scholar]
- 30.Topp MS, Gokbuget N, Stein AS, et al. Safety and activity of blinatumomab for adult patients with relapsed or refractory B-precursor acute lymphoblastic leukaemia: a multicentre, single-arm, phase 2 study. The Lancet Oncology 2015;16:57–66. [DOI] [PubMed] [Google Scholar]
- 31.Kantarjian H, Stein A, Gokbuget N, et al. Blinatumomab versus Chemotherapy for Advanced Acute Lymphoblastic Leukemia. The New England journal of medicine 2017;376:836–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Topp MS, Zimmerman Z, Cannell P, et al. Health-related quality of life in adults with relapsed/refractory acute lymphoblastic leukemia treated with blinatumomab. Blood 2018;131:2906–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Raison CL, Knight JM, Pariante C. Interleukin (IL)-6: A good kid hanging out with bad friends (and why sauna is good for health). Brain, behavior, and immunity 2018;73:1–2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Teachey DT, Bishop MR, Maloney DG, Grupp SA. Toxicity management after chimeric antigen receptor T cell therapy: one size does not fit ‘ALL’. Nature reviews Clinical oncology 2018;15:218. [DOI] [PubMed] [Google Scholar]
- 35.Newick K, O’Brien S, Moon E, Albelda SM. CAR T Cell Therapy for Solid Tumors. Annual review of medicine 2017;68:139–52. [DOI] [PubMed] [Google Scholar]
- 36.D’Aloia MM, Zizzari IG, Sacchetti B, Pierelli L, Alimandi M. CAR-T cells: the long and winding road to solid tumors. Cell death & disease 2018;9:282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Morgan RA, Yang JC, Kitano M, Dudley ME, Laurencot CM, Rosenberg SA. Case report of a serious adverse event following the administration of T cells transduced with a chimeric antigen receptor recognizing ERBB2. Molecular therapy : the journal of the American Society of Gene Therapy 2010;18:843–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Meeker CR, Geynisman DM, Egleston BL, et al. Relationships Among Financial Distress, Emotional Distress, and Overall Distress in Insured Patients With Cancer. Journal of oncology practice 2016;12:e755–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Carrera PM, Kantarjian HM, Blinder VS. The financial burden and distress of patients with cancer: Understanding and stepping-up action on the financial toxicity of cancer treatment. CA: a cancer journal for clinicians 2018;68:153–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Hernandez I, Prasad V, Gellad WF. Total Costs of Chimeric Antigen Receptor T-Cell Immunotherapy. JAMA oncology 2018;4:994–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.de Souza JA, Yap BJ, Wroblewski K, et al. Measuring financial toxicity as a clinically relevant patient-reported outcome: The validation of the COmprehensive Score for financial Toxicity (COST). Cancer 2017;123:476–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Jamani K, Onstad LE, Bar M, et al. Quality of Life of Caregivers of Hematopoietic Cell Transplant Recipients. Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation 2018. [DOI] [PMC free article] [PubMed]
- 43.Cancer Stat Facts: Myeloma (Accessed 9/9/2018, 2018, at https://seer.cancer.gov/statfacts/html/mulmy.html.)
- 44.Kirchhoff AC, Leisenring W, Syrjala KL. Prospective predictors of return to work in the 5 years after hematopoietic cell transplantation. Journal of cancer survivorship : research and practice 2010;4:33–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Socie G, Mary JY, Esperou H, et al. Health and functional status of adult recipients 1 year after allogeneic haematopoietic stem cell transplantation. British journal of haematology 2001;113:194–201. [DOI] [PubMed] [Google Scholar]
- 46.Raje NS, Berdeja JG, Lin Y, et al. bb2121 anti-BCMA CAR T-cell therapy in patients with relapsed/refractory multiple myeloma: Updated results from a multicenter phase I study. Journal of Clinical Oncology 2018;36:8007-. [Google Scholar]
- 47.LeBlanc TW, Abernethy AP. Patient-reported outcomes in cancer care - hearing the patient voice at greater volume. Nature reviews Clinical oncology 2017;14:763–72. [DOI] [PubMed] [Google Scholar]
- 48.Basch E, Barbera L, Kerrigan CL, Velikova G. Implementation of Patient-Reported Outcomes in Routine Medical Care. American Society of Clinical Oncology Educational Book 2018:122–34. [DOI] [PubMed]
- 49.Hay KA, Hanafi LA, Li D, et al. Kinetics and biomarkers of severe cytokine release syndrome after CD19 chimeric antigen receptor-modified T-cell therapy. Blood 2017;130:2295–306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Kluetz PG, Slagle A, Papadopoulos EJ, et al. Focusing on Core Patient-Reported Outcomes in Cancer Clinical Trials: Symptomatic Adverse Events, Physical Function, and Disease-Related Symptoms. Clinical cancer research : an official journal of the American Association for Cancer Research 2016;22:1553–8. [DOI] [PubMed] [Google Scholar]
- 51.Reeve BB, Mitchell SA, Dueck AC, et al. Recommended patient-reported core set of symptoms to measure in adult cancer treatment trials. Journal of the National Cancer Institute 2014;106. [DOI] [PMC free article] [PubMed]
- 52.Ware JESK, Kosinski M, Gandek B. SF-36 Health Survey Manual and Interpretation Guide, Boston, The Health Institute, New England Medical Center; 1993. [Google Scholar]
- 53..(Accessed 9/10/2018, 2018, at https://euroqol.org/eq-5d-instruments/eq-5d-3l-about/.)
- 54.Cella D, Yount S, Rothrock N, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years. Medical care 2007;45:S3–S11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Broderick JE, DeWitt EM, Rothrock N, Crane PK, Forrest CB. Advances in Patient-Reported Outcomes: The NIH PROMIS((R)) Measures. EGEMS (Washington, DC) 2013;1:1015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Jensen RE, Potosky AL, Moinpour CM, et al. United States Population-Based Estimates of Patient-Reported Outcomes Measurement Information System Symptom and Functional Status Reference Values for Individuals With Cancer. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2017;35:1913–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57..(Accessed 8/8/18, 2018, at http://www.healthmeasures.net/explore-measurement-systems/promis.)
- 58.Aaronson NK, Ahmedzai S, Bergman B, et al. The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology. Journal of the National Cancer Institute 1993;85:365–76. [DOI] [PubMed] [Google Scholar]
- 59.2018. (Accessed 9/10/2018, 2018, at http://www.facit.org/facitorg/questionnaires.)
- 60.Luckett T, King MT, Butow PN, et al. Choosing between the EORTC QLQ-C30 and FACT-G for measuring health-related quality of life in cancer clinical research: issues, evidence and recommendations. Annals of oncology : official journal of the European Society for Medical Oncology 2011;22:2179–90. [DOI] [PubMed] [Google Scholar]
- 61..(Accessed 9/10/2018, 2018, at https://www.fda.gov/downloads/drugs/guidances/ucm193282.pdf.)
- 62.Shaw BE, Syrjala KL, Onstad LE, et al. PROMIS measures can be used to assess symptoms and function in long-term hematopoietic cell transplantation survivors. Cancer 2018;124:841–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Shaw BE, Lee SJ, Horowitz MM, Wood WA, Rizzo JD, Flynn KE. Can we agree on patient-reported outcome measures for assessing hematopoietic cell transplantation patients? A study from the CIBMTR and BMT CTN. Bone marrow transplantation 2016;51:1173–9. [DOI] [PubMed] [Google Scholar]
- 64.Dueck AC, Mendoza TR, Mitchell SA, et al. Validity and Reliability of the US National Cancer Institute’s Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). JAMA oncology 2015;1:1051–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Calvert M, Blazeby J, Altman DG, Revicki DA, Moher D, Brundage MD. Reporting of patient-reported outcomes in randomized trials: the CONSORT PRO extension. Jama 2013;309:814–22. [DOI] [PubMed] [Google Scholar]
- 66.Bell ML, Fairclough DL. Practical and statistical issues in missing data for longitudinal patient-reported outcomes. Statistical methods in medical research 2014;23:440–59. [DOI] [PubMed] [Google Scholar]
- 67.Roydhouse JK, Wilson IB. Systematic review of caregiver responses for patient : an international journal of quality of life aspects of treatment, care and rehabilitation 2017;26:1925–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Bonnetain F, Fiteni F, Efficace F, Anota A. Statistical Challenges in the Analysis of Health-Related Quality of Life in Cancer Clinical Trials. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2016;34:1953–6. [DOI] [PubMed] [Google Scholar]
- 69.Anota A, Hamidou Z, Paget-Bailly S, et al. Time to health-related quality of life score deterioration as a modality of longitudinal analysis for health-related quality of life studies in oncology: do we need RECIST for quality of life to achieve standardization? Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation 2015;24:5–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Broers S, Kaptein AA, Le Cessie S, Fibbe W, Hengeveld MW. Psychological functioning and quality of life following bone marrow transplantation: a 3-year follow-up study. Journal of psychosomatic research 2000;48:11–21. [DOI] [PubMed] [Google Scholar]
- 71.Andrykowski MA, Bishop MM, Hahn EA, et al. Long-term health-related quality of life, growth, and spiritual well-being after hematopoietic stem-cell transplantation. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2005;23:599–608. [DOI] [PubMed] [Google Scholar]

