| Literature DB >> 34890069 |
Merit E Cudkowicz1, Stacy R Lindborg2, Namita A Goyal3, Robert G Miller4, Matthew J Burford5, James D Berry1, Katharine A Nicholson1, Tahseen Mozaffar3, Jonathan S Katz4, Liberty J Jenkins4, Robert H Baloh5, Richard A Lewis5, Nathan P Staff6, Margaret A Owegi7, Donald A Berry8, Yael Gothelf9, Yossef S Levy10, Revital Aricha2, Ralph Z Kern2, Anthony J Windebank6, Robert H Brown7.
Abstract
INTRODUCTION/AIMS: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative illness with great unmet patient need. We aimed to evaluate whether mesenchymal stem cells induced to secrete high levels of neurotrophic factors (MSC-NTF), a novel autologous cell-therapy capable of targeting multiple pathways, could safely slow ALS disease progression.Entities:
Keywords: ALSFRS-R; amyotrophic lateral sclerosis; biomarker; clinical trial; stem cells
Mesh:
Substances:
Year: 2022 PMID: 34890069 PMCID: PMC9305113 DOI: 10.1002/mus.27472
Source DB: PubMed Journal: Muscle Nerve ISSN: 0148-639X Impact factor: 3.852
FIGURE 1CONSORT diagram. Phase 3 randomized, placebo‐controlled study to evaluate MSC‐NTF effects on safety, tolerability, biomarkers, and clinical outcomes in amyotrophic lateral sclerosis. CONSORT methodology is used for consistent documentation of the flow of participants through a trial. The categories within each box are reported as they were captured on the electronic Case Report Form. There are participants who discontinued the trial reasons other than death and then subsequently died. For a complete list of deaths for all participants randomized in the trial, see Table 2
Safety results
| MSC‐NTF | Placebo | |
|---|---|---|
| (N = 95) | (N = 94) | |
| n (%) | n (%) | |
| Safety overview, safety population | ||
| TEAEs | 94 (98.9) | 92 (97.9) |
| TEAE related to the study medication | 76 (80.0) | 66 (70.2) |
| Severe TEAEs | 29 (30.5) | 19 (20.2) |
| Severe‐related TEAEs | 7 (7.4) | 3 (3.2) |
| Serious TEAEs | 23 (24.2) | 17 (18.1) |
| Serious‐related TEAEs | 1 (1.1) | 1 (1.1) |
| Procedure‐related TEAEs | 89 (93.7) | 82 (87.2) |
| TEAEs leading to treatment withdrawal | 1 (1.1) | 3 (3.2) |
Demography and baseline characteristics
| Characteristic | MSC‐NTF | Placebo |
|---|---|---|
| ( | ( | |
| Age (y), mean (SD) | 48.1 (9.71) | 49.1 (8.38) |
| Sex | ||
| Female, n | 27 (28.4) | 35 (37.2) |
| Male, n (%) | 68 (71.6) | 59 (62.8) |
| Baseline ALSFRS‐R, mean (SD) | 30.3 (6.5) | 31.4 (6.1) |
| ≤25, | 23 (24.2) | 21 (22.3) |
| > 25, | 72 (75.8) | 73 (77.7) |
| Baseline SVC (% predicted), mean (SD) | 76.2 (20.9) | 75.0 (19.8) |
| Time from first symptom to first treatment (mo), mean (SD) | 19.6 (5.17) | 19.1 (4.90) |
| Time from diagnosis (mo), mean (SD) | 6.8 (4.35) | 6.1 (4.80) |
| Site of disease onset | ||
| Limb, n (%) | 80 (84.2) | 73 (77.7) |
| Limb and bulbar, n (%) | 15 (15.8) | 21 (22.3) |
| El Escorial criteria | ||
| Possible, n (%) | 6 (6.3) | 6 (6.4) |
| Lab‐supported probable, n (%) | 15 (15.8) | 23 (24.5) |
| Probable, n (%) | 24 (25.3) | 31 (33.0) |
| Definite, n (%) | 50 (52.6) | 34 (36.2) |
| Use of riluzole at baseline | ||
| Yes, n (%) | 65 (68.4) | 56 (59.6) |
| No, n (%) | 30 (31.6) | 38 (40.4) |
Efficacy results: primary and secondary endpoints at 28 wk, mITT population
| All participants | MSC‐NTF | Placebo |
|---|---|---|
| (N = 95) | (N = 94) | |
| Primary endpoint, through week 28 | ||
| ≥1.25 points improvement in ALSFRS‐R slope, n (%) | 31 (32.6) | 26 (27.7) |
| OR (95% CI), | 1.33 (0.63, 2.80), | |
| Secondary endpoints, through week 28 | ||
| ≥100% improvement in ALSFRS‐R slope, n (%) | 13 (13.7) | 13 (13.8) |
| OR (95% CI), | 0.998 (0.42, 2.40), | |
| ALSFRS‐R Total score, LS mean change from baseline (SE) | −5.52 (0.67) | −5.88 (0.67) |
| LS mean difference (95% CI), | 0.37 (−1.47, 2.20), | |
| CAFS, LS mean at week 28 (SE) | 73.74 (5.21) | 72.21 (4.89) |
| LS mean difference (95% CI), | 1.53 (−10.65, 13.72), P = .80 | |
| Slow vital capacity % predicted, LS mean change from baseline (SE) | −12.94 (1.80) | −11.55 (1.81) |
| LS mean difference (95% CI), | −1.39 (−6.15, 3.38), | |
| Secondary endpoints, through week 32 | ||
| Tracheostomy‐free survival (no tracheostomies during the study) | n/a | n/a |
| Hazard ratio (95% CI) | n/a | |
| Event free probability (K‐M) for deaths due to disease progression | 90.43 | 92.24 |
| (95% CI), | (81.71, 95.12) | (70.98, 98.12) |
|
| .21 | |
| Event free probability (K‐M) for death due to any cause | ||
| (95% CI) |
88.32 (79.32, 93.56) |
89.17 (69.08, 96.51) |
|
| .11 | |
Abbreviations: CI, confidence interval; K‐M, Kaplan Meier.
Note: Results from secondary endpoints through week 32 do not include two deaths that occurred in participants randomized to placebo which occurred prior to treatment.
Efficacy analyses across ALSFRS‐R baseline thresholds
| Percent response across ALSFRS‐R baseline thresholds, primary endpoint | ALSFRS‐R MMRM change from baseline to week 28 secondary endpoint | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| ALSFRS‐R baseline score | n (%) total participants | % MSC‐NTF | % placebo |
| n (%) total participants | MSC‐NTF LS mean (SE) | Placebo LS mean (SE) | Delta |
|
| ≥34 | 68 (36) | 37.9 | 15.4 | .163 | 57 (30) | −1.58 (1.13) | −4.32 (0.96) | 2.74 | 0.057 |
| ≥33 | 83 (44) | 35.1 | 15.2 | .088 | 69 (37) | −2.36 (1.01) | −4.58 (0.91) | 2.23 | 0.092 |
| ≥32 | 96 (51) | 37.0 | 16.0 | .056 | 78 (41) | −2.22 (0.90) | −4.32 (0.87) | 2.10 | 0.081 |
| ≥31 | 100 (53) | 35.4 | 15.4 | .043 | 80 (42) | −2.44 (0.89) | −4.83 (0.86) | 2.39 | 0.045 |
| ≥30 | 115 (61) | 35.7 | 16.9 | .103 | 92 (49) | −3.14 (0.82) | −5.53 (0.81) | 2.39 | 0.032 |
| ≥29 | 123 (65) | 34.5 | 18.5 | .056 | 97 (51) | −3.66 (0.82) | −5.77 (0.78) | 2.11 | 0.054 |
| ≥28 | 131 (69) | 36.5 | 19.1 | .022 | 105 (56) | −3.49 (0.78) | −5.58 (0.75) | 2.09 | 0.048 |
| ≥27 | 138 (73) | 35.4 | 20.5 | .026 | 110 (58) | −3.95 (0.76) | −5.89 (0.72) | 1.94 | 0.06 |
| ≥26 | 145 (77) | 34.7 | 20.5 | .053 | 116 (61) | −4.61 (0.75) | −5.81 (0.75) | 1.20 | 0.247 |
Note: Hypothesis testing performed using logistic regression adjusted for baseline ALSFRS‐R total score, duration from onset of symptoms to first treatment, site of onset (Limb versus Limb & Bulbar). Riluzole use at baseline and ALSFRS‐R slope pre‐treatment were used to test the hypothesis of an OR of 1 between the two treatment groups.
FIGURE 2Longitudinal changes in biomarkers (log transformed). CI, confidence interval. Longitudinal changes in biomarkers (log transformed) over the course of the study in least square mean cerebrospinal fluid levels of VEGF (A), MCP‐1 (B), and NfL (C). *P < .05
Biomarker terms with significant explanatory value for the primary endpoint
| Biomarker (post baseline) | Estimate |
|
|---|---|---|
| BMKCHG‐Fetuin‐A | 1.31 | <.0001 |
| BMKCHG‐MCP‐1 | 1.33 | .0002 |
| Fetuin‐A | −0.50 | .0089 |
| ENCALS | 0.71 | <.0001 |
| MCP‐1 | −1.03 | <.0001 |
| MCP‐1*treatment | −0.53 | .0074 |
| MSR1 | −0.65 | <.0001 |
| NfL | −0.59 | .0006 |
| Treatment | 3.72 | .0027 |
| VEGF‐A | −0.25 | .0248 |
Note: A stepwise forward regression model using the primary endpoint as dependent variable and all the biomarkers as independent variables or predictor variables was performed, in the attempt to build a potential composite index that can predict the outcomes more efficiently than being performed one by one. Along with CSF biomarkers, the European Network to Cure ALS (ENCALS) risk profile was also included as a possible model term. The ENCALS risk profile is a criterion to evaluate the risk of a patient dying (a measure of severity).
Abbreviations: BMKCHG, change in biomarker across the treatment period.