B-cell Acute Lymphoblastic Leukemia Clinical Trial
Official title:
Evaluation of ProALL microRNAs in Blood Specimen for Prediction of Acute Lymphoblastic Leukemia Relapse Risk
Previous findings have shown that a biomarker comprised of the three microRNAs (miRs)
miR-451, miR-151-5p and miR-1290 can independently predict precursor B-cell acute
lymphoblastic leukemia (B- ALL) patients' risk for relapse when measured in cells from a bone
marrow (BM) aspiration taken at diagnosis (Avigad et al., 2016: Genes, Chromosomes & Cancer
55:328-339). Curewize Health recognizes that the development of a minimally invasive blood
test for frequent long-term monitoring can greatly benefit pediatric precursor B-ALL
patients. Therefore, the current study will investigate the monitoring ability of miR-451,
miR-151-5p and miR-1290 measured in blood samples. The study will be performed in two stages:
Stage 1-Cross-Sectional Study: Blood samples will be collected from relapsed pediatric B-ALL
patients and B-ALL patients in remission. Blood will be collected from each patient in three
tubes, for serum, plasma and whole blood analysis, in order to interpret the best blood
source for measuring miR-451, miR-151-5p and miR-1290. The level of the miRs in blood will be
compared between relapsed B-ALL patients to B-ALL patients in remission. If the Stage 1
Cross-Sectional study is successful, the investigators will continue the clinical trials to
the Stage 2 Prospective Monitoring study.
Stage 2-Prospective Monitoring Study: Blood will be collected from patients at diagnosis and
at routine clinical follow-up. Patients can be up to five years from diagnosis. The source of
blood found to be most optimal for measuring the miR levels is Stage 1 will be collected. The
final design of the Stage 2 study will be decided after completion of the Stage 1 study.
1. Acute Lymphoblastic Leukemia Risk Based Treatment:
Children with ALL are usually treated according to risk groups defined by both clinical
and laboratory features. This approach allows children with signs of historically very
good outcome to be treated with modest therapy and to be spared more intensive and toxic
treatment, while allowing children with a historically lower probability of long-term
survival to receive more intensive therapy that may increase the ALL patients' chance of
cure. Study groups use varying criteria, with a strong emphasis on minimal residual
disease (MRD) measurements that quantify the number of leukemic cells that remain in the
patient during and after treatment. The most widely used MRD assays are based on
polymerase chain reaction (PCR) amplification of antigen-receptor genes, and on flow
cytometric detection of abnormal immunophenotypes (Campana, 2010). These techniques
identify the patients' specific leukemia clone in bone marrow before induction treatment
and measure the number of residual leukemic cells post-induction. Two widely used
examples of Risk stratification protocols are the Berlin-Frankfurt-Munster (BFM)
Protocol in Europe and the Children's Oncology Group Protocol in USA.
2. Previous ProALL miR Findings:
The ProALL prototype assay microRNAs (miRNAs) (Avigad et al., 2016) were discovered by
microarray analysis by hybridization of BM aspirates taken at diagnosis of 48 ALL
patients to 979 different miRNAs. The down-regulated expression levels of miR-451 and
miR-151-5p and the up-regulated expression level of miR-1290 associated with adverse
prognostic factors.
The second study focused on measuring the three miRs in BM samples taken from B-ALL
patients at diagnosis treated by the BFM protocol. ProALL miRs predicted high risk to
relapse (p<0.0001, n=127). ProALL miRs were found to be an independent predictor when
tested with prognostic factors known at diagnosis and when tested with PCR-MRD. Similar
findings were found for patients treated by the DCOG protocol (n=32, p<0.0001). In a
small feasibility study the investigators showed that ProALL miRs measured in blood
correlated with ProALL miRs measured in bone marrow (Avigad et al. Mir Expression
Profile of Peripheral Blood Lymphocytes Predicts Relapse in Pediatric Acute
Lymphoblastic Leukemia. Blood. 2016;128:1736 - Poster presentation at ASH 2016).
3. Study Rationale:
Though MRD has greatly contributed to the substantial increase in ALL patients' survival
and outcome, nearly 15% to 20% of young ALL patients eventually succumb to relapse,
resulting in relapsed ALL as being the 4th most common childhood malignancy (Locatelli
et al., 2012, Pui et al., 2012, Hunger and Mullighaan, 2015). Once relapse occurs only
30% to 50% of relapsed patients can be cured even with intensive chemotherapy and bone
marrow transplantation (Nguyen et al. 2008 and Locatelli et al., 2012). Relapsed ALL
patients with high MRD prior to hematopoietic stem cell transplantation (HSCT) have a
significantly worse probability of disease-free survival 10 years after relapse
treatment begins (Eckert et al., 2015). Therefore, it stands to reason that early
detection of relapse before a large increase in MRD can improve relapse patients
disease-free survival. Yet, many oncology groups don't incorporate monitoring in ALL
treatment protocols because of the labor intensity of MRD measurement; and the
invalidation of the feasibility of routine MRD monitoring. This is due to factors such
as variable kinetics of leukemic cell regrowth (van Dongen et al., 2015), and that
nearly 50% of ALL patients succumb to relapse from a new leukemia clone not identified
at diagnosis (Choi et al., 2007). The frequency of monitoring may also be limited,
especially in children, due to discomfort and practical difficulties posed by BM
aspiration (Coustan-Smith E. et al., 2002). A simple predictive test for ALL in blood
would increase the practicality of testing ALL patients more frequently and may
eventually lead to prevention of relapse by means of preemptive treatment.
Investigating if ProALL miRs can be measured in blood, in addition to BM, for predicting
relapse risk of ALL patients is vital due to the many advantages of such a blood test.
If ProALL levels can be tested more frequently in blood the probability of successfully
treating the patients' leukemia will increase by potentially enabling the physician to
take preemptive measures to prevent predicted relapse.
4. Study Design:
The study will be performed in two stages:
Stage 1-Cross-Sectional Study: Blood samples will be collected from relapsed pediatric
B-ALL patients and B-ALL patients in remission. Three Blood samples will be collected
from each patient in tubes in order to interpret the best blood source for measuring
miR-451, miR-151-5p and miR-1290. The sources that will be tested are serum, peripheral
blood lymphocytes and whole blood. The level of the miRs in blood will be compared
between relapsed B-ALL patients and B-ALL patients in remission (n=30). If the "Stage 1
Cross-Sectional" study is successful, the investigators will continue the clinical trial
to the "Stage 2 Prospective Monitoring" study.
Stage 2-Prospective Monitoring Study: Blood will be collected from patients at diagnosis
and/or at routine clinical follow-up. Patients can be up to five years from diagnosis
(n≈65 *3 samples). One source of blood will be collected. Patients will be followed for
3 years. The final design of the Stage 2 study will be after the completion of Stage 1
study.
5. Sample Size Considerations:
Stage 1 Cross-Sectional Study: For the sample size calculation the Primary end-point is
to test the ability of ProALL miRs measured in blood to differentiate B-ALL patients at
remission from patients at relapse. The sample size calculation is according to
Sampling: comparison of proportions of MedCalc (MedCalc Statistical Software version
16.1 (MedCalc Software bvba, Ostend, Belgium; https://www.medcalc.org; 2016). Type 1
error was 0.05 and Type 2 error was 0.20. Data for the sample size calculation was
obtained from the DCOG cohort in Avigad et al., 2016, which was chosen as a model for
the feasibility study due to its small size (n=32). Cross sectional analysis of the DCOG
cohort showed that there were significantly more patients with relapse event (p=0.001,
Fisher Exact test) positive for at least one miR (78%) compared to patients with no
relapse event (13%).
Data is taken from Figure 6 (from Avigad et al., 2016):
- Patients at Relapse - At least one miR positive rate 0.78
- Patients at Remission - No miR positive rate 0.13
- Relapse/Remission was 0.39
- The minimum number of enrollees needed are: a. Patients at Relapse - n=8 and b.
Patients at Remission - n=21.
B-ALL patients can be included in the study up to five years from diagnosis. After
completing the enrollment of the cross-sectional study, PI will be queried on
Remission/Relapse status of patients. Above is the minimum number of patients to be
enrolled. Up to 12 patients at relapse and 31 patents at remission can be enrolled.
Stage 2 Prospective Study: The sample size calculation is according to Sampling:
survival analysis (Time-to-Event) of MedCalc. Type 1 error was 0.05 and Type 2 error was
0.20. Data for the sample size calculation was obtained from Figure 3A Kaplan Meir curve
(Avigad et al., 2016).
- Survival rate Profile B was 0.77
- Survival rate Profile A was 0.29
- Profile B/Profile A was 17
- Number of enrollees needed is 62
At least 3 samples from 3 time points should be taken from each patient. A sample can be
taken at relapse if it is the 2nd or 3rd sample. Patients from Stage 1 can continue to
Stage 2. The final design of the study will be after Stage 1.
6. Blood Extraction and Handling of Samples:
No more than 0.8 mL of blood per kilogram of the enrollee's weight will be collected at
one visit. The total amount of blood to be collected for Stage 1 is between 7.5 mL to
10.5 mL according to the following:.
- PaxGene Tube - 2.5 mL
- Tube for Plasma - 2.5 mL to 4 mL
- Tube for Serum - 2.5 mL to 4 mL
7. Biomarker Results and Clinical Data Flow:
- The blood samples will be screened for the ProALL miRs by Curewize Lab.
- Curewize will receive clinical data corresponding to the visit that the screened
blood sample was taken only after sending the clinical site the blood sample's miR
values.
8. Statistical Analysis Plan (SAP) for Stage 1-Cross Sectional Study:
Blood Biomarker Variables:
- miR-451 relative expression (ddCt) level
- miR-151-5p relative expression (ddCt) level
- miR-1290 relative expression (ddCt) level
Covariates:
- Age
- Gender
- MRD-PCR
- BFM risk
- Treatment group
- White blood cell count at diagnosis and at blood collection if routinely tested.
- Steroid response
- Cytogenetic variables
Cross-Sectional Analysis:
Stage-1 is considered exploratory and will be used to design the analysis of Stage-2.
Variables will be tested for normality with Shapiro Wilk's test. The level of expression
of miR-451, miR151-5p and miR-1290 will be compared between patients during remission
and patients during relapse by Mann-Whitney U test. Continuous data will be depicted in
box plots showing median and interquartile range. Logistic regression will be used to
test the miR values [nominal (positive/negative) and continuous] with each other and
with other variables comparing between patients at remission and patients at relapse.
The optimal combination Classifier will be created according to the above analysis.
Categorical variables will be summarized by frequency tables, indicating numbers and
frequencies of miR status (positive versus negative). Data will be compared by Fisher
exact for dichotomous (2x2 tables) values or chi-square or chi-square for trend for
tables. Odds ratios and likelihood ratios will be calculated. Receiver operating
characteristic curves will be created, the independent variables are miR-451 or
miR-151-p, miR-1290 and dependent variable is relapse or remission. Receiver operating
characteristic curves will be created for the combined Classifier. Additional analyses
will be performed if results from planned analyses give reasonable warrant.
9. Statistical Analysis Plan (SAP) for Stage 2-Prospective Study Will be created after
report of results of Stage-1 Cross Section Study.
10. Ethical Considerations The study will be conducted according to the principles of the
World Medical Association Declaration of Helsinki Ethical Principles for Medical
Research Involving Human Subjects JAMA. 2013;310(20):2191-2194 and in accordance with
local GCP regulations.
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