1
|
Hunter E, Salter M, Powell R, Dring A, Naithani T, Chatziioannou ME, Gebregzabhar A, Issa M, Green J, Ng S, Lim CR, Keat CS, Suan AT, Raman R, Fatt HK, Luen FLW, Alshaker H, Pchejetski D, Blum D, Guiel T, Heaton R, Levine J, Akoulitchev A. Development and Validation of Blood-Based Predictive Biomarkers for Response to PD-1/PD-L1 Checkpoint Inhibitors: Evidence of a Universal Systemic Core of 3D Immunogenetic Profiling across Multiple Oncological Indications. Cancers (Basel) 2023; 15:2696. [PMID: 37345033 DOI: 10.3390/cancers15102696] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/06/2023] [Accepted: 05/08/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND Unprecedented advantages in cancer treatment with immune checkpoint inhibitors (ICIs) remain limited to only a subset of patients. Systemic analyses of the regulatory 3D genome architecture linked to individual epigenetic and immunogenetic controls associated with tumour immune evasion mechanisms and immune checkpoint pathways reveal a highly prevalent molecular profile predictive of response to PD-1/PD-L1 ICIs. A clinical blood test based on a set of eight (8) 3D genomic biomarkers has been developed and validated on the basis of an observational trial to predict response to ICI therapy. METHODS The predictive eight biomarker set is derived from prospective observational clinical trials, representing 280 treatments with Pembrolizumab, Atezolizumab, Durvalumab, Nivolumab, and Avelumab in a broad range of indications: melanoma, lung, hepatocellular, renal, breast, bladder, colon, head and neck, bone, brain, lymphoma, prostate, vulvar, and cervical cancers. RESULTS The 3D genomic eight biomarker panel for response to immune checkpoint therapy achieved a high accuracy of 85%, sensitivity of 93%, and specificity of 82%. CONCLUSIONS This study demonstrates that a 3D genomic approach can be used to develop a predictive clinical assay for response to PD-1/PD-L1 checkpoint inhibition in cancer patients.
Collapse
Affiliation(s)
| | | | | | - Ann Dring
- Oxford BioDynamics Plc., Oxford OX4 2WB, UK
| | | | | | | | - Mutaz Issa
- Oxford BioDynamics Plc., Oxford OX4 2WB, UK
| | | | - Serene Ng
- Oxford BioDynamics (M) Sdn Bhd, Penang 10470, Malaysia
| | - Chun Ren Lim
- Oxford BioDynamics (M) Sdn Bhd, Penang 10470, Malaysia
| | - Cheah Soon Keat
- Mount Miriam Cancer Hospital (MMCH), Penang 11200, Malaysia
- Island Hospital, Penang 10450, Malaysia
| | - Ang Tick Suan
- Mount Miriam Cancer Hospital (MMCH), Penang 11200, Malaysia
| | - Rakesh Raman
- Mount Miriam Cancer Hospital (MMCH), Penang 11200, Malaysia
| | - Ho Kean Fatt
- Mount Miriam Cancer Hospital (MMCH), Penang 11200, Malaysia
| | | | - Heba Alshaker
- School of Medicine, University of East Anglia, Norwich NR4 7TJ, UK
| | | | - Dave Blum
- Oxford BioDynamics Inc., Gaithersburg, MD 20878, USA
| | - Thomas Guiel
- Oxford BioDynamics Inc., Gaithersburg, MD 20878, USA
| | - Robert Heaton
- Oxford BioDynamics Inc., Gaithersburg, MD 20878, USA
| | - Jedd Levine
- Oxford BioDynamics Inc., Gaithersburg, MD 20878, USA
| | | |
Collapse
|
2
|
Rakovac Tisdall A, King TFJ, Mahmood WAW, Keat CS, Ali R, Abdin R, Koo CM, Alali M, Sreenan S, McDermott JH. Erectile dysfunction: they don't talk, we don't ask. Diabet Med 2018; 35:667-668. [PMID: 29457841 DOI: 10.1111/dme.13607] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
| | - T F J King
- Department of Endocrinology, Connolly Hospital, Dublin, Ireland
| | - W A W Mahmood
- Department of Endocrinology, Connolly Hospital, Dublin, Ireland
| | - C S Keat
- Department of Endocrinology, Connolly Hospital, Dublin, Ireland
| | - R Ali
- Department of Endocrinology, Connolly Hospital, Dublin, Ireland
| | - R Abdin
- Department of Endocrinology, Connolly Hospital, Dublin, Ireland
| | - C M Koo
- Department of Endocrinology, Connolly Hospital, Dublin, Ireland
| | - M Alali
- Department of Endocrinology, Connolly Hospital, Dublin, Ireland
| | - S Sreenan
- Department of Endocrinology, Connolly Hospital, Dublin, Ireland
| | - J H McDermott
- Department of Endocrinology, Connolly Hospital, Dublin, Ireland
| |
Collapse
|