| Literature DB >> 35672690 |
David J Barnes1, Peter Dutton2, Øyvind Bruland3, Hans Gelderblom4, Ade Faleti5, Claudia Bühnemann1, Annemiek van Maldegem1,4, Hannah Johnson5, Lisa Poulton5, Sharon Love2, Gesa Tiemeier1,4, Els van Beelen4, Karin Herbschleb5, Caroline Haddon5, Lucinda Billingham6, Kevin Bradley7, Stefano Ferrari8, Emanuela Palmerini8, Piero Picci8, Uta Dirksen9, Sandra J Strauss10, Pancras C W Hogendoorn2,4, Emmeline Buddingh4, Jean-Yves Blay11, Anne Marie Cleton-Jansen4, Andrew Bassim Hassan12,13.
Abstract
The phase III clinical study of adjuvant liposomal muramyl tripeptide (MTP-PE) in resected high-grade osteosarcoma (OS) documented positive results that have been translated into regulatory approval, supporting initial promise for innate immune therapies in OS. There remains, however, no new approved treatment such as MTP-PE for either metastatic or recurrent OS. Whilst the addition of different agents, including liposomal MTP-PE, to surgery for metastatic or recurrent high-grade osteosarcoma has tried to improve response rates, a mechanistic hiatus exists in terms of a detailed understanding the therapeutic strategies required in advanced disease. Here we report a Bayesian designed multi-arm, multi-centre, open-label phase II study with randomisation in patients with metastatic and/or recurrent OS, designed to investigate how patients with OS might respond to liposomal MTP-PE, either given alone or in combination with ifosfamide. Despite the trial closing because of poor recruitment within the allocated funding period, with no objective responses in eight patients, we report the design and feasibility outcomes for patients registered into the trial. We demonstrate the feasibility of the Bayesian design, European collaboration, tissue collection with genomic analysis and serum cytokine characterisation. Further mechanistic investigation of liposomal MTP-PE alone and in combination with other agents remains warranted in metastatic OS.Entities:
Keywords: Bayesian; Bone neoplasm; Muramyl tripeptide; Osteosarcoma; Phase II trial; Rare cancer; Sarcoma
Mesh:
Substances:
Year: 2022 PMID: 35672690 PMCID: PMC9175372 DOI: 10.1186/s12885-022-09697-9
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.638
Fig. 1 a. Flow diagram of the study design with three arms A, B and C. Randomisation is between arm B and C in the deemed un-resectable cohort. b. Consort flow diagram of the study participants. A total of 18 patients assessed, 10 were excluded and 8 registered. Of the latter, 5 were randomised. c. Planned and actual recruitment during the study period
Baseline characteristics of the patients recruited
| Characteristic | Overall ( | |
|---|---|---|
| Age (years, Median (Q1,Q3)) | 24.5 (20.2,34.5) | |
| Gender | Male | 7 (87.5%) |
| Female | 1 (12.5%) | |
| Performance Status | 0 | 6 (75.0%) |
| 1 | 2 (25.0%) | |
| Histology/Cytological type | Chondroblastic OS 9181/3 | 1 (12.5%) |
| Osteoblastic OS 9180/3 | 2 (25.0%) | |
| Osteosarcoma NOS 9180/3 | 5 (62.5%) | |
| Primary Site | axial | 3 (37.5%) |
| limb | 5 (62.5%) | |
| Disease stage at screening | metastatic | 8 (100.0%) |
| Tumour size at baseline (sum of longest diameters) (mm) | 82.0 (51.0,92.0) | |
| Prior radiotherapy | yes | 2 (25.0%) |
| no | 6 (75.0%) | |
| Prior chemotherapy | yes | 8 (100.0%) |
| no | 0 (0.0%) | |
| Prior surgery | yes | 8 (100.0%) |
| no | 0 (0.0%) | |
Fig. 2 a. Summary of treatments administered and major patient events for each patient in all arms. b. Summary of the timing and of worst adverse events for each patient in all arms
Primary response analysis
| Trial Number | Scan 1 (week 6) | Scan 2 | Scan 3 | Scan 4 | Scan 5 |
|---|---|---|---|---|---|
| A1 | PD | ||||
| A2 | PD | ||||
| B2 | SD | SD | SD | SD | PD |
| C2 | SD | SD | PD | ||
| C3 | PD |
PD progressive disease
SD stable disease
Time to event (months) progression free and disease specific survival
| Patient Number | Treatment Stopped | PFS | OS | Cause of death | Last known alive |
|---|---|---|---|---|---|
| A1 | 1.2 | 1.2 | 15.8 | ||
| A2 | Did not start | 0.2 | 11.7 | ||
| A3 | Did not starta | 0.01 | |||
| B1 | 0.8 | 14.1 | |||
| B2 | 9.4 | 9.2 | 10.2 | ||
| C1 | 0.5 | 0.5 | |||
| C2 | 4.2 | 4.1 | 9.4 | Disease related | |
| C3 | 1.7 | 1.5 | 4.6 | Disease related |
aWithdrew after enrolling into the study
Summary of all study tissue samples
| Patient | Treatment Cycle | Gender | Age | Biopsy location | Number of QC samples for RNAseq1 |
|---|---|---|---|---|---|
| A1 | Pre | Male | 20 | Soft tissue rib - core biopsy | 0/2 |
| A3 | Pre | Male | 23 | Lung - core biopsy | 0/2 |
| B1 | Pre | Male | 17 | Lung - core biopsy | 0/2 |
| B2 | Pre | Male | 27 | Lung - core biopsy | 3/3 |
| Post | 27 | Lung - core biopsy | 2/2 | ||
| C1 | Pre | Male | 61 | Bone - core biopsy | 1/1 |
| C2 | Pre | Male | 25 | Lung – excision biopsy | 3/3 |
| C3 | Pre | Female | 56 | Lung & soft tissue – core biopsy | 2/2 |
aSamples with RNA integrity (RIN) > 7 using an Agilent Bioanalyzer 2100
Fig. 3Circos plots of chromosomal rearrangements in all patient tumour core biopsy samples with adequate quality RNA. Fusion genes were identified by carrying out FusionCatcher analysis on RNA-Seq data. Patient B2 and C2 had data from three separate core biopsies, whereas C3 had two and C1 had one core biopsy sample. Patient B2 had two core samples post treatment
Fig. 4Heatmap of the top 50 most differentially expressed genes amongst the patient biopsy samples. Expression values were calculated using Kallisto. Top and left-hand side dendograms indicate hierarchical clustering of columns (patients) and rows (genes). Note similarity of all three B2 core samples, C2 and C3 samples. Expression changes were identified post treatment in patient B2 (B2-PT)
Summary of all study serious adverse events
| Arm A | Arm B | Arm C | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Grade | Grade | Grade | |||||||||||
| Category | Event Term | 2 | 3 | 4 | 5 | 2 | 3 | 4 | 5 | 2 | 3 | 4 | 5 |
| Blood and lymphatic system disorders | Febrile neutropenia | 1 | |||||||||||
| Infections and infestations | Pseudomonas infection | 1 | |||||||||||
| Urinary tract infection | 1 | ||||||||||||
| Metabolism | Hypokalaemia | 1 | |||||||||||
| Hypophosphataemia | 1 | ||||||||||||
| Nervous system disorders | Encephalopathy | 1 | |||||||||||
aNumber at risk
Fig. 5Cytokine activation in peripheral blood samples in different patients (A1 to C3, legend). Results from the Bio-Plex multiplex assay are shown as concentration against time (days) for all collected blood samples for all patients’ available post-randomisation. Samples from specific timepoints are missing either because of failed sample collection or results were below the detection limit of the specific assay