Tracking ovine pulmonary adenocarcinoma development using an experimental Jaagsiekte sheep retrovirus infection model

Chris Cousens, James Meehan, David Collie, Steven Wright, Ziyuan Chang, Helen Todd, Jo Moore, Lynn Grant, Carola Daniel, Peter Tennant, Adrian Ritchie, James Nixon, Chris Proudfoot, Stefano Guido, Helen Brown, Calum Gray, Tom MacGillivray, Eddie Clutton, Stephen Greenhalgh, Rachael GregsonDavid J Griffiths, James Spivey, Nicole Storer, Chad Eckert, Mark Gray

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Ovine pulmonary adenocarcinoma (OPA) is an infectious, neoplastic lung disease of sheep that causes significant animal welfare and economic issues throughout the world. Understanding OPA pathogenesis is key to developing tools to control its impact. Central to this need is the availability of model systems that can monitor and track events after Jaagsiekte sheep retrovirus (JSRV) infection. Here, we report the development of an experimentally induced OPA model intended for this purpose. Using three different viral dose groups (low, intermediate and high), localised OPA tumour development was induced by bronchoscopic JSRV instillation into the segmental bronchus of the right cardiac lung lobe. Pre-clinical OPA diagnosis and tumour progression were monitored by monthly computed tomography (CT) imaging and trans-thoracic ultrasound scanning. Post mortem examination and immunohistochemistry confirmed OPA development in 89% of the JSRV-instilled animals. All three viral doses produced a range of OPA lesion types, including microscopic disease and gross tumours; however, larger lesions were more frequently identified in the low and intermediate viral groups. Overall, 31% of JSRV-infected sheep developed localised advanced lesions. Of the sheep that developed localised advanced lesions, tumour volume doubling times (calculated using thoracic CT 3D reconstructions) were 14.8 ± 2.1 days. The ability of ultrasound to track tumour development was compared against CT; the results indicated a strong significant association between paired CT and ultrasound measurements at each time point (R 2 = 0.799, p < 0.0001). We believe that the range of OPA lesion types induced by this model replicates aspects of naturally occurring disease and will improve OPA research by providing novel insights into JSRV infectivity and OPA disease progression.

Original languageEnglish
Article number1019
Pages (from-to)1-21
Number of pages21
JournalGenes
Volume15
Issue number8
Early online date2 Aug 2024
DOIs
Publication statusPublished - 2 Aug 2024

Keywords / Materials (for Non-textual outputs)

  • ovine pulmonary adenocarcinoma
  • computed tomography
  • Ultrasound
  • ANIMAL MODELS

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