Abstract
Few patients with cancer, including those with acute myeloid leukemia and high-grade myeloid neoplasms, participate in clinical trials. Broadening standard eligibility criteria may increase clinical trial participation. In this retrospective single-center analysis, we identified 442 consecutive newly diagnosed patients from 2014 to 2016. Patients were considered eligible if they had performance status 0-2, normal renal and hepatic function, no recent solid tumor, left ventricular ejection fraction (EF) ≥ 50%, and no history of congestive heart failure (CHF) or myocardial infarction (MI); ineligible patients failed to meet one or more of these criteria. We included 372 patients who received chemotherapy. Ineligible patients represented 40% of the population and had a 1-79-fold greater risk of death (95% CI 1.37, 2.33) than eligible patients. Very few patients had cardiac co-morbidities, including 2% with low EF, 4% with prior CHF, and 5% with prior MI. In multivariable analysis, ineligibility was associated with decreased survival [HR 1-44 (95% CI 1-07, 1-93)]. Allogeneic transplantation, performed in 150 patients (40%), was associated with improved survival [HR 0-66, 95% CI (0-48, 0-91)]. Therefore, standard eligibility characteristics identify a patient population with improved survival. Further treatment options are needed for patients considered ineligible for clinical trials.Introduction
National Comprehensive Cancer Network guidelines state “the best management of any patient with cancer is in a clinical trial.” Nonetheless, relatively few adults with cancer participate in clinical trials.1 Preferences of patients and physicians, and the distances separating patients from an academic center, undoubtedly contribute and are probably not amenable to change. In contrast, protocol eligibility criteria may be more flexible. These are often stereotypical, ignoring the complexity and individualized nature of clinical care. Oncology clinical trials, particularly those sponsored by industry, are generally written with standard eligibility (and ineligibility) criteria which if anything are becoming more stringent over time.2 The American Society of Clinical Oncology (ASCO) and similar groups have encouraged broader eligibility criteria, thus increasing the relevance of clinical trial results for the great majority of patients who do not participate in trials.3
An analysis by Lichtman et al., published simultaneously with the ASCO recommendations, found 50-85% of over 10,000 patients with breast, colorectal, lung, or bladder cancer seen in 2013 and 2014 at Kaiser Permanente Northern California would not meet standard clinical trial eligibility criteria.4 This analysis defined eligibility as meeting the requirements of younger age, relatively normal heart, kidney, and liver function, and no recent solid tumor. While some investigational agents may have only theoretical organ toxicity, the organ function parameters are infrequently adjusted or waived.
Clinical trial participation by patients with hematologic malignancies has received less attention. Statler et al. found patients retrospectively determined to be ineligible for Soutwest Oncology Group (SWOG) leukemia studies had similar outcomes as eligible patients treated on the same studies. However, many patients were found to be ineligible solely because of such administrative reasons as missing documentation or laboratory values drawn at the wrong time.5 A more recent single-center analysis examining the effect of comorbidities and organ dysfunction found that a very high proportion of acute myeloid leukemia (AML) patients (88%) would have been excluded from many clinical trials, but that outcomes did not differ significantly between eligible and ineligible patients.6 The authors therefore suggested that clinical trial eligibility criteria should be liberalized for AML patients.
In this single-center retrospective analysis, we examined the proportion of patients at our center with newlydiagnosed AML or high-grade myeloid neoplasms who would have met standard clinical trial eligibility criteria. We also compared outcome in patients according to whether they met these criteria.
Methods
Patient population
Consecutive patients diagnosed with AML or high-grade myeloid neoplasms (10-19% blasts) at the University of Washington (UW)/Fred Hutchinson Cancer Research Center (FHCRC) between January 1, 2014 and December 31, 2016 were identified through our institutional database. The study was approved by the UW Institutional Review Board.
We identified 442 patients approximately equally divided between 2014, 2015, and 2016. Data on age, sex, performance status (PS), SWOG cytogenetic risk,7 treatment related mortality (TRM) score,8 induction treatment and intensity, and baseline values for glomerular filtration rate (GFR), creatinine, bilirubin, and alanine aminotransferase (ALT) were collected using the institional database. The TRM score uses pre-treatment patient and disease characteristics to estimate the probability of death within the first 28 days after induction. In a few patients, a single component for TRM calculation was missing so median values from the database as a whole were used. Patients were classified as having secondary disease if they had an antecedent hematologic disorder or previous exposure to chemotherapy. Induction treatment intensity was divided into three categories: high (containing cytarabine at 1g/m2/dose or more); intermediate (including 7+3, CPX-351, or similar); and low (hypomethylating agents, low-dose cytarabine, or similar). We excluded patients from subsequent analysis who received either palliative care alone or unknown treatment in the community (n=70; 16% of the entire population). Additional information regarding prior malignancy (excluding prior AML, myelodysplastic syndrome, myeloproliferative neoplasms, and non-melanoma skin cancer), cardiac disease and/or low ejection fraction (EF) within 3 months of planned treatment, were collected from review of medical charts (performed by MEP). Response to induction chemotherapy was defined as complete remission (CR; absolute neutrophil count [ANC] >1,000/mL and platelet count <100,000/mL), CR with incomplete count recovery (CRi; ANC <1,000/mL), or CR with incomplete platelet recovery (CRp; platelet count <100,000/mL). Measurable residual disease (MRD) was assessed using multiparameter flow cytometry.
Definition of eligibility for clinical trials
Patients were considered “eligible” for the purposes of our retrospective analysis had PS 0-2, GFR ≥60 ml/min, ALT ≤ twice the upper limit of normal (ULN), bilirubin ≤1.5 mg/dL, no solid tumor diagnosed within 2 years preceding the diagnosis of AML, left ventricular ejection fraction (EF) ≥50%, and no history of congestive heart failure (CHF) or myocardial infarction (MI). The criteria are similar to those in a previous analysis of solid tumor patients and mimic standard trial eligibility criteria.4 Patients were classified as “ineligible” if they failed to meet at least one of these eligibility criteria. Unknown values were not considered to make a patient ineligible. Though some trials exclude patients with older age, we did not use age as a criterion in light of the recent drug approvals in AML.9,10
Statistical analysis
Overall survival (OS) was measured from date of first evaluation to date of death, with patients last known to be alive censored at the date of last contact. Fisher’s exact tests and Wilcoxon rank-sum tests were used to compare eligible and ineligible patients. Fisher’s exact test was used to evaluate 28-day mortality; patients censored before day 28 were excluded from the analysis. Fisher’s exact test was used to evaluate response; response was not available on 29 patients. Cox regression models and log-rank tests were used to evaluate associations with OS. All statistical analyses were performed using R.11
Results
Baseline characteristics
We identified 372 patients; 272 patients received intermediate or high intensity induction and 100 low intensity induction (Table 1). Of these, 207 patients (56%) received treatment on a clinical trial at UW/FHCRC.
Using the above-noted criteria (performance status, GFR, ALT, bilirubin, prior solid tumor within 2 years, EF, and history of CHF or MI), 220 patients (60%) would have been considered eligible. The reasons for ineligibility are shown in Table 1. Typically, for a given eligibility criterion <10% of patients were ineligible. For example, only 2% of patients would have been ineligible based on the usual requirement for EF ≥50%, only 4% because of prior CHF, only 5% because of prior MI, only 5% because of elevated ALT, and only 5% because of abnormal bilirubin. Only 3% of patients would have been ineligible because they had a solid tumor in the last 2 years, which is probably the most common solid-tumor free interval included in clinical trial eligibility criteria.
Relationship between ineligibility and survival
Univariate analyses showed strong associations between risk of death and ineligibility criteria including PS 3-4, GFR < 60 mL/min, and prior CHF or MI (Table 1). Associations between survival and abnormal ALT, abnormal bilirubin, or decreased EF were not noted, but there were relatively few patients in these categories. Patients with one or more ineligibility characteristics represented approximately 40% of the study population and had a 1.79-fold greater risk of death (95% Confidence Interval [CI]: 1.37-2.33) than patients who had no ineligibility characteristics (Table 2; Figure 1). Of the 144 ineligible patients, 73% (106) failed to meet only a single eligibility criterion, 26% did not meet two eligibility criteria, while 5% did not meet three criteria (Table 2).
Relationship between ineligibility and baseline characteristics (Table 3)
Although we did not regard secondary AML as a criterion of ineligibility per se, patients with secondary AML were more likely to be ineligible (P<0.001). This is likely because many of the secondary AML patients were classified as such due to receipt of chemotherapy for a prior malignancy, which in itself is a common reason for exclusion from trials. As expected, there were strong associations between ineligibility and higher TRM scores (P<0.001). Nonetheless, rate of 28-day mortality was similar between eligible and ineligible patients (4% vs. 8%, P=0.06). Also as expected, ineligible patients were more likely to receive intermediate and less intense induction therapy, rather than more intense induction (P=0.006). Although we observed no association between eligibility and cytogenetic risk, the rate of CR without MRD was significantly higher in eligible patients (55% vs. 38%). Partly as a consequence, although eligible patients comprised 60% of our population, they comprised 74% of the 140 patients who received allogeneic hematopoietic cell transplantation (HCT) (P=0.004). It is interesting to observe that 39 “ineligible” patients went on to allogeneic HCT, but notably 30 met only one ineligibility criterion at diagnosis.
Ineligibility is associated with decreased survival (Table 4)
A multivariable Cox regression model indicated that the presence of one more ineligible factors was associated with decreased overall survival (HR 1.45, 95% CI: 1.08-1.93) (Table 4), even after accounting for known prognostic factors. Considered as a time-dependent variable, HCT was associated with improved survival (HR 0.67, 95% CI: 0.49-0.93). Tests of interaction between HCT and ineligibility indicated no evidence of a difference in the association between transplant and outcome between eligible and ineligible patients (HR 0.99, P=0.99).
We also examined the effect of participation in clinical trials in our cohort. Many of the clinical trials on which our patients were enrolled were investigator-initiated trials which commonly had more lenient inclusion criteria than the “standard” eligibility criteria defined for the current analysis, perhaps leading our trial patients to have worse prognoses than those more typically enrolled. Examples of clinical trials enrolling during this time period that targeted patients with a high treatment-related mortality include reduced-dose CPX-35112 and a randomized trial for reduced versus full-dose CLAG-M.13 In fact, despite the relation between shorter survival and ineligibility for clinical trials, participation in a clinical trial (207 patients, 56% of the cohort) was not associated with improvement in survival (HR 1.01, 95% CI: 0.76-1.33). Furthermore, of the 207 patients treated on study, 74 (36%) were ineligible by at least one criterion, and the effect of eligibility on overall survival was similar in patients treated on or off a trial (interaction P=0.15).
Discussion
Because overly strict eligibility criteria for clinical trials may lead to unrepresentative study populations, we set out to examine the frequency of characteristics associated with ineligibility. We observed a high percentage of patients with at least one ineligible characteristic (40%), though this finding is somewhat less than the 50-85% ineligible patients identified in the Lichtman analysis of solid tumor trial candidates and less than the 88% ineligible identified in the Statler analysis of AML patients treated with chemotherapy.4,6 Our analysis excluded a subset of patients who received palliative care alone or unknown treatment in the community. Because of the nature of oncology trials, the Lichtman analysis notably also included age over 75 as an exclusion criterion, which was a characteristic of 14% of our final cohort.
Cardiac disease was uncommon in our cohort, at least based on history of CHF (4%) or MI (5%) and decreased EF within 3 months of leukemia diagnosis (2%). The Lichtman analysis was comparable, with CHF/cardiomyopathy observed in 5-11% of patients and prior MI in 1-5%, depending on cancer type.4 In our analysis, EF assessment was done on a routine basis for most patients prior to planned receipt of an anthracycline during induction chemotherapy, even though most cardiac toxicity is only seen after high cumulative anthracycline doses.14 EF evaluation can be expensive and can delay the initiation of life-saving chemotherapy, and these results suggest that it is unnecessary more often than not.15 In contrast, a previous analysis of 97 randomized controlled trials in hematologic malignancies, not limited to AML and MDS, determined that cardiac eligibility criteria were significantly associated with observed adverse events in a way that hepatic and renal eligibility criteria were not.16 Cardiac eligibility criteria may act as a surrogate for other co-morbidities and may predict toxicity, but the authors of that study conclude that exclusion criteria are often too broad and not applicable.
In our analysis, patients with at least one ineligible characteristic had significantly worse survival than patients with no ineligible characteristic (HR 1.79, 95% CI: 1.37-2.33; Table 4). It is likely that all the criteria used to determine ineligibility are not equally unfavorable. Optimally, our models would analyze each criterion separately, rather than combining them together as in this study. However, estimating the contribution of individual ineligibility characteristics would require a larger patient cohort. Our finding that ineligibility is associated with decreased survival suggests that standard clinical trial criteria may identify a population of patients with better outcomes following treatment; improved responses and survival have also been demonstrated in an “on study” population when the same induction regimen was administered to patients both on and off clinical trial at our center and in a national population-based cohort study from Denmark.17,18 These findings contrast some with the Statler analysis of AML patients, which did not identify significant differences in response or survival based on comorbidities other than liver disease and organ dysfunction.6 In the future, evaluation of other factors including travel distance, social support, and frailty level could provide a more nuanced picture of eligibility.
Before performing our analysis, we believed ineligibility would be associated with worse outcomes largely because of its association with early death, or 28-day TRM, based on the sharp decline in death rate after this 28-day period.8 However, though ineligible patients had higher TRM scores and would be more likely to incur TRM,8 the difference in TRM between eligible and ineligible patients was small when contrasted with the much greater differences in survival. This suggests much of the survival difference reflected the considerably higher rate of CR without MRD in eligible patients (55% vs. 38%), since achievement of CR without MRD is associated with longer survival.19 Since cytogenetic risk was similar in eligible and ineligible patients and since none of our ineligibility criteria are known to be associated with resistance to therapy, another explanation is needed for this higher CR without MRD rate. One possibility is the much less frequent use of intense induction in ineligible patients. Ineligible patients were also much less likely to receive allogeneic HCT. Hence while electing not to give ineligible patients intense induction may reduce TRM, this effect may be considerably less than the entailed loss of efficacy (e.g., decreased rate of CR without MRD) and resultant loss of ability to receive HCT.
Most patients with AML are given standard treatment (off trial) in community centers. An important question is whether the effect of “ineligibility” is the same in community and academic centers. Patients treated in community centers are older, have more comorbidities, and travel less distance for treatment than those at academic centers. 20 Although after accounting for these factors survival remained better in academic centers, the negative effect of covariates such as comorbidities and shorter distance traveled was similar in both settings, suggesting that the effect of ineligibility is similar in community and academic centers. Nonetheless, the pre-selection of patients inherent in a retrospective study from an academic medical center undoubtedly adds to the effect of ineligibility in evaluating the relevance of clinical trial outcomes.
As noted in the results, many of the patients entered on trials at our center would have been ineligible for typical trials. The lack of a linkage between participation in a trial and fulfillment of standard eligibility criteria may partially explain the failure of our trials to improve survival, although the trials themselves may have been at fault. Though participation in clinical trials is encouraged, it is also true that not all trials lead to improved outcomes for patients. Patients with characteristics that make them ineligible for most trials may be the very population who would benefit most from novel therapies that are available only within the context of a trial. Additionally, improvements in supportive care over time will benefit all patients, regardless of eligibility. Investigators at MD Anderson Cancer Center published the results of a clinical trial for patients with AML and MDS who were by definition not eligible for standard clinical trials,21 but we are not aware of any other similar studies either completed or enrolling. Future studies with broader inclusion criteria could also include a “correction factor” to help compensate for the expected worse outcomes of patients who would not meet standard eligibility. The recent Food and Drug Admistration approvals in the AML arena have changed the landscape of treatment options, but the real world use of these drugs may not mimic the cohort studied in the clinical trials leading to approval.
Even the possibility of less benefit for “ineligible” patients may not be sufficient justification for their continued exclusion from trials. For many patients with AML, standard treatment is unsatisfactory. Hence, once properly informed, many patients would prefer to enroll on trials rather than receive standard therapy. Extended to many cancers, this fact underlies the “right-to-try” movement. We understand patients are often ineligible for trials because the trials’ sponsors realize inclusion would lead to less encouraging results, harming chances for regulatory approval. A possible means to reconcile the interests of patients and of sponsors would be to make regulatory approval of new drugs might be made conditional on subsequent conduct of trials in patients underrepresented in the trials prompting initial approval, thus potentially increasing the applicability of results to the substantial numbers of patients currently considered “ineligible.”
Footnotes
- Received April 6, 2020
- Accepted July 6, 2020
Correspondence
Disclosures
This study was presented, in part, at the American Society of Hematology 2019 annual meeting in Orlando, FL, USA.
Contributions
MEMP and EHE: conceived and designed the study; data collection was performed by MEMP, SM, KMG, and CS; statistical analysis was performed by MO. The remaining authors enrolled patients and provided feedback and revisions. The final manuscript was approved by all authors.
Funding
The study was supported in part by a Cancer Consortium Grant from the National Institutes of Health (P30 CA015704).
References
- Network NCC. Acute Myeloid Leukemia (version 2.2019). 2019. Publisher Full TextGoogle Scholar
- Srikanthan A, Vera-Badillo F, Ethier J. Evolution in the eligibility criteria of randomized controlled trials for systemic cancer therapies. Cancer Treat Rev. 2016; 43:67-73. https://doi.org/10.1016/j.ctrv.2015.12.006PubMedGoogle Scholar
- Kim ES, Bruinooge SS, Roberts S. Broadening eligibility criteria to make clinical trials more representative: American Society of Clinical Oncology and Friends of Cancer Research Joint Research Statement. J Clin Oncol. 2017; 35(33):3737-3744. https://doi.org/10.1200/JCO.2017.73.7916PubMedPubMed CentralGoogle Scholar
- Lichtman SM, Harvey RD, Damiette Smit MA. Modernizing clinical trial eligibility criteria: recommendations of the American Society of Clinical Oncology- Friends of Cancer Research Organ Dysfunction, Prior or Concurrent Malignancy, and Comorbidities Working Group. J Clin Oncol. 2017; 35(33):3753-3759. https://doi.org/10.1200/JCO.2017.74.4102PubMedGoogle Scholar
- Statler A, Othus M, Erba HP. Comparable outcomes of patients eligible vs ineligible for SWOG leukemia studies. Blood. 2018; 131(25):2782-2788. https://doi.org/10.1182/blood-2018-01-826693PubMedPubMed CentralGoogle Scholar
- Statler A, Hobbs BP, Radivoyevitch T. The impact of comorbidities and organ dysfunction commonly used for clinical trial eligibility criteria on outcome in acute myeloid leukemia (AML) patients receiving induction chemotherapy. Blood. 2019; 134(Suppl 1):S16. https://doi.org/10.1182/blood-2019-130319Google Scholar
- Slovak ML, Kopecky KJ, Cassileth PA. Karyotypic analysis predicts outcome of preremission and postremission therapy in adult acute myeloid leukemia: a Southwest Oncology Group/Eastern Cooperative Oncology Group Study. Blood. 2000; 96(13):4075-4083. https://doi.org/10.1182/blood.V96.13.4075.h8004075_4075_4083Google Scholar
- Walter RB, Othus M, Borthakur G. Prediction of early death after induction therapy for newly diagnosed acute myeloid leukemia with pretreatment risk scores: a novel paradigm for treatment assignment. J Clin Oncol. 2011; 29(33):4417-4423. https://doi.org/10.1200/JCO.2011.35.7525PubMedPubMed CentralGoogle Scholar
- Cortes JE, Heidel FH, Hellmann A. Randomized comparison of low dose cytarabine with or without glasdegib in patients with newly diagnosed acute myeloid leukemia or high-risk myelodysplastic syndrome. Leukemia. 2019; 33(2):379-389. https://doi.org/10.1038/s41375-018-0312-9PubMedPubMed CentralGoogle Scholar
- DiNardo CD, Pratz K, Pullarkat V. Venetoclax combined with decitabine or azacitidine in treatment-naive, elderly patients with acute myeloid leukemia. Blood. 2019; 133(1):7-17. https://doi.org/10.1182/blood-2018-08-868752PubMedPubMed CentralGoogle Scholar
- R: A language and environment for statistical computing. R Foundation for Statistical Computing [computer program]. 2017. Google Scholar
- Walter RB, Othus M, Orlowski KF. Unsatisfactory efficacy in randomized study of reduced-dose CPX-351 for medically less fit adults with newly diagnosed acute myeloid leukemia or other highgrade myeloid neoplasm. Haematologica. 2018; 103(3):e106-e109. https://doi.org/10.3324/haematol.2017.182642PubMedPubMed CentralGoogle Scholar
- Halpern AB, Othus M, Gardner KM. Mini- Vs. Regular-dose CLAG-M (Cladribine, Cytarabine, G-CSF, and Mitoxantrone) in medically less fit adults with newly-diagnosed acute myeloid leukemia (AML) and other high-grade myeloid neoplasms. Blood. 2019; 134(Suppl 1):S1364. https://doi.org/10.1182/blood-2019-123542Google Scholar
- Anderlini P, Benjamin RS, Wong FC. Idarubicin cardiotoxicity: a retrospective study in acute myeloid leukemia and myelodysplasia. J Clin Oncol. 1995; 13(11):2827-2834. https://doi.org/10.1200/JCO.1995.13.11.2827PubMedGoogle Scholar
- Khan HM, Gardner KM, Shaw C. Need for routine examination of left ventricular ejection fraction in patients with AML. Leukemia. 2020; 34(4):1169-1171. https://doi.org/10.1038/s41375-019-0637-zPubMedGoogle Scholar
- Statler A, Radivoyevitch T, Siebenaller C. The relationship between eligibility criteria and adverse events in randomized controlled trials of hematologic malignancies. Leukemia. 2017; 31(8):1808-1815. https://doi.org/10.1038/leu.2016.374PubMedGoogle Scholar
- Buckley SA, Percival ME, Othus M. A comparison of patients with acute myeloid leukemia and high-risk myelodysplastic syndrome treated on versus off study. Leuk Lymphoma. 2019; 60(4):1023-1029. https://doi.org/10.1080/10428194.2018.1516036PubMedPubMed CentralGoogle Scholar
- Ostgard LS, Norgaard M, Sengelov H. Improved outcome in acute myeloid leukemia patients enrolled in clinical trials: a national population-based cohort study of Danish intensive chemotherapy patients. Oncotarget. 2016; 7(44):72044-72056. https://doi.org/10.18632/oncotarget.12495PubMedPubMed CentralGoogle Scholar
- Chen X, Xie H, Wood BL. Relation of clinical response and minimal residual disease and their prognostic impact on outcome in acute myeloid leukemia. J Clin Oncol. 2015; 33(11):1258-1264. https://doi.org/10.1200/JCO.2014.58.3518PubMedGoogle Scholar
- Bhatt VR, Shostrom V, Giri S. Early mortality and overall survival of acute myeloid leukemia based on facility type. Am J Hematol. 2017; 92(8):764-771. https://doi.org/10.1002/ajh.24767PubMedGoogle Scholar
- Montalban-Bravo G, Huang X, Naqvi K. A clinical trial for patients with acute myeloid leukemia or myelodysplastic syndromes not eligible for standard clinical trials. Leukemia. 2017; 31(2):318-324. https://doi.org/10.1038/leu.2016.303PubMedGoogle Scholar
Figures & Tables
Article Information
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.