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Heider K, Wan JC, Gale D, Mouliere FC, Qian W, Kateb A, Doughton G, Ramenatte N, Tysoe R, Smith CG, Rassl DM, Harden S, Rintoul RC, Massie C, Rosenfeld N. Abstract 1377: Improved ctDNA detection in early stage non-small-cell lung cancer. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-1377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Overall survival of non-small-cell lung cancer (NSCLC) patients remains poor as patients are frequently diagnosed at a late stage. The evaluation of circulating tumour DNA (ctDNA) has been shown to offer a non-invasive method for detection of cancer. However, detection rates of ctDNA in patients with early stage cancers, including NSCLC, have been limited due to sampling and sensitivity issues. We developed a novel algorithm for INtegration of VAriant Reads (INVAR), which uses sequencing data across hundreds to thousands of tumour-mutated loci to detect ctDNA in plasma samples at high sensitivity. We applied this to a cohort of stage I-III NSCLC patients recruited in the LUCID study. LUCID is a prospective and observational study of 100 stage I-IIIB NSCLC who are planning to undergo radical treatment (surgery or radiotherapy +/- chemotherapy) with curative intent. Plasma samples were collected before and after treatment with curative intent. We analysed a total of 50 patients using patient specific-sequencing panels and detected ctDNA in 78% of cases before treatment, at ctDNA fractions as low as 1.7x10-5. For 17 of those patients staging information was available. Here, we detected ctDNA in 50% of stage I patients (split evenly between stages IA and B) and 100% of stage II and III patients. We also applied INVAR to whole exome and shallow whole genome sequencing data from plasma samples, and showed that this algorithm can be used to detect low ctDNA fractions in such data. Our findings highlight an opportunity to improve ctDNA detection in early stage NSCLC by using patient specific sequencing information. Additionally, our algorithm has the potential to aid in longitudinal cancer monitoring and is applicable to a variety of sequencing data types. We aim to apply this approach to serial samples obtained through the LUCID study to investigate its application in the treatment management.
Citation Format: Katrin Heider, Jonathan C. Wan, Davina Gale, Florent C. Mouliere, Wendi Qian, Angels Kateb, Gail Doughton, Nicola Ramenatte, Ruth Tysoe, Christopher G. Smith, Doris M. Rassl, Susan Harden, Robert C. Rintoul, Charles Massie, Nitzan Rosenfeld. Improved ctDNA detection in early stage non-small-cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1377.
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Affiliation(s)
- Katrin Heider
- 1CRUK Cambridge Institute, Cambridge, United Kingdom
| | | | - Davina Gale
- 1CRUK Cambridge Institute, Cambridge, United Kingdom
| | | | - Wendi Qian
- 3Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, United Kingdom
| | - Angels Kateb
- 3Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, United Kingdom
| | - Gail Doughton
- 3Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, United Kingdom
| | - Nicola Ramenatte
- 3Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, United Kingdom
| | - Ruth Tysoe
- 3Cambridge Clinical Trials Unit – Cancer Theme, Cambridge, United Kingdom
| | | | - Doris M. Rassl
- 4Royal Papworth Hospital NHS Foundation Trust, Cambridge, United Kingdom
| | - Susan Harden
- 5Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Robert C. Rintoul
- 6Department of Oncology, University of Cambridge Hutchison–MRC Research Centre, Cambridge, United Kingdom
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Pacey S, Linch MD, Kynaston H, Warren A, Freeman A, Tysoe R, Shaw G, Narahari K, Kumar S, Martin H, Kularatne B, Gnanapragasam V, Davies B, Khan J, Bratt O, Dev H, Massie C, Shah N. A study into the pharmacodynamic biomarker effects of olaparib (PARP Inhibitor) ± degarelix (GnRH antagonist) given prior to radical prostatectomy (RP) CANCAP03. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.7_suppl.35] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
35 Background: Novel agents given prior to RP allows the study of drug effect(s) in primary human prostate cancer (PC), supporting future clinical study development. Pre-clinical and clinical data (mostly in setting of castration resistant PC) support PARP ± androgen inhibition as therapy for some patients (pt). We undertook a study of olaparib (O) ± degarelix (D) prior to RP. Methods: 20 evaluable (pre and post RP tissue available with 86% dose compliance) pt randomised 1:1 to O or O+D. Primary endpoint: measure PARP inhibition by IHC. Secondary endpoints were feasibility, safety, tolerability. Exploratory objectives: changes PSA, circulating tumour DNA & intra-tumoral immune cells. Men, due for RP, with high volume or aggressive PC, consented and were treated with O (300mg bd) 15 days ± D (240mg once), prior to RP. Diagnostic biopsy and RP tissue were collected. Adverse events (AE) were graded according to CTCAE v4 and followed up to resolution or 6-weeks post RP. Results: 24 men recruited, 4 not evaluable (opted radiotherapy, surgery date altered, not by AE). Interim results are presented of available data. Conclusions: 2 weeks of O (± D) can be given prior to RP with acceptable safety profile. Exploratory analyses of tumour tissue are ongoing however, preliminary data confirm PSA drop noted for pt on both regimens. While expected for O+D this is the first report of PSA changes following a short course of single agent PARPi (O) in pt with local/ hormone sensitive PC. Clinical trial information: NCT02324998. [Table: see text]
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Affiliation(s)
- Simon Pacey
- University of Cambridge, Cambridge, United Kingdom
| | - Mark David Linch
- University College London Cancer Institute, London, United Kingdom
| | | | - Anne Warren
- Cambridge University Hospitals, Cambridge, United Kingdom
| | - Alex Freeman
- University College London, London, United Kingdom
| | - Ruth Tysoe
- Cambridge University Hospitals, Cambridge, United Kingdom
| | - Greg Shaw
- Department Of Urology, UCLH, London, United Kingdom
| | | | | | - Henno Martin
- Cambridge University Hospital NHS Trust, Cambridge, United Kingdom
| | | | | | | | - Josephine Khan
- MRC-BSU University of Cambridge, Cambridge, United Kingdom
| | | | - Harveer Dev
- Wellcome Trust/ Cancer Research UK Gurdon Institute and Department of Biochemistry, Cambridge, United Kingdom
| | - Charles Massie
- Cancer Research UK Cambridge Institute, Cambridge, United Kingdom
| | - Nimish Shah
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
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