| Literature DB >> 33580363 |
Kjetil Boye1,2, Alessandra Longhi3, Tormod Guren4, Susanne Lorenz5, Stine Næss4, Michela Pierini3, Ingeborg Taksdal6, Ingvild Lobmaier7, Marilena Cesari3, Anna Paioli3, Ayca M Løndalen8, Elisabetta Setola3,9, Ivar Hompland4, Leonardo A Meza-Zepeda10,5, Kirsten Sundby Hall4, Emanuela Palmerini3.
Abstract
AIM: To evaluate the activity and safety of the PD-1 antibody pembrolizumab in adult patients with advanced osteosarcoma.Entities:
Keywords: NanoString; Osteosarcoma; PD-1 inhibitor; PD-L1 expression; Pembrolizumab
Mesh:
Substances:
Year: 2021 PMID: 33580363 PMCID: PMC8360887 DOI: 10.1007/s00262-021-02876-w
Source DB: PubMed Journal: Cancer Immunol Immunother ISSN: 0340-7004 Impact factor: 6.968
Baseline patient characteristics
| Number of patients (%)* | |
|---|---|
| Age, median (range) | 43 (19–55) |
| Male | 8 (67) |
| Female | 4 (33) |
| Femur | 5 (42) |
| Tibia | 4 (33) |
| Other | 3 (25) |
| Osteoblastic | 5 (42) |
| Fibroblastic | 3 (25) |
| Other | 4 (33) |
| ECOG 0 | 9 (75) |
| ECOG 1 | 3 (25) |
| ≤ 2 | 2 (17) |
| 3 | 6 (50) |
| ≥ 4 | 4 (33) |
*Unless otherwise specified. ECOG Eastern Cooperative Oncology Group.
Fig. 1Waterfall plot showing best RECIST response. Individual patients are represented by vertical bars and the change in tumor size according to RECIST v1.1 is depicted on the Y-axis. Two patients did not undergo radiological evaluation and are not included
Fig. 2Photomicrographs of immunohistochemical staining with monoclonal anti-PD-L1 antibody (clone 22C3; Dako). a > 50% positive membranous staining of tumor cells. Scale bar 50 μm. b Negative staining. Scale bar 100 μm
Fig. 3Baseline images and response evaluation after treatment with pembrolizumab in study patient 12 (PROMO-12). a CT images and b 18F-FDG PET/CT images at baseline (left panel) and after two cycles of pembrolizumab (right panel). Arrows indicate reduced uptake of 18F-FDG and tumor size in lung and kidney metastases, and arrowheads indicate progressive abdominal and pelvic metastases
Fig. 4Gene expression analysis of tumor samples using the NanoString platform. a Abundance of various cell type populations across different samples. The cell type score is calculated based on cell-type specific gene expression markers. b Pathways showing differential behavior in PROMO-12 compared to the remaining samples. Pathway scores are calculated based on gene expression data using nSolver V4 software and oriented such that increasing score corresponds to increased expression. c Normalized gene expression values of top 28 differential expressed genes involved in these pathways. For both plots, rows are centered and unit variance scaling is applied to rows. Both rows and columns are clustered using correlation distance and average linkage. In b and c, samples were analyzed in duplicate and both duplicates are shown