Publications by authors named "J J Gray"

Osteosarcoma is the most common primary bone cancer, occurring frequently in children and young adults. Patients are treated with surgery and multi-agent chemotherapy, and despite the introduction of mifamurtide in 2011, there has been little improvement in survival for decades. 3-dimensional models offer the potential to understand the complexity of the osteosarcoma tumor microenvironment and aid in developing new treatment approaches.

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We profiled a large heterogenous cohort of matched diagnostic-relapse tumour tissue and paired plasma-derived cell free DNA (cfDNA) from patients with relapsed and progressive solid tumours of childhood. Tissue and cfDNA sequencing results were concordant, with a wider spectrum of mutant alleles and higher degree of intra-tumour heterogeneity captured by the latter, if sufficient circulating tumour-derived DNA (ctDNA) was present. Serial tumour sequencing identified putative drivers of relapse, with alterations in epigenetic drivers being a common feature.

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Purpose: To review biotinidase gene (BTD) variants identified in a large, diverse, reproductive carrier screening (RCS) cohort and outline management of heterozygotes with pathogenic or likely pathogenic (P/LP) variants.

Methods: This retrospective observational study included samples tested from January 2020 to September 2022 in a 274-gene panel. The study involved females aged 18 to 55 years.

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Anti-disialoganglioside (GD2) antibody therapy has provided clinical benefit to patients with neuroblastoma however efficacy is likely impaired by the immunosuppressive tumor microenvironment. We have previously defined a link between intratumoral copper levels and immune evasion. Here, we report that adjuvant copper chelation potentiates anti-GD2 antibody therapy to confer durable tumor control in immunocompetent models of neuroblastoma.

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Article Synopsis
  • Timely estimation of rice yields is essential for food security and agricultural policy development, particularly in countries like Bangladesh, where existing methods lack integration into national reporting systems.
  • This study introduces a new workflow using remote sensing data to estimate boro rice yields at a high spatial resolution of 1,000 meters, achieving a low mean percentage root mean square error (RMSE) compared to district yields.
  • The analysis reveals trends in boro rice yield from 2002 to 2021, showing 23% of the area with an increasing trend, while providing scalable yield estimates that can enhance food security management in Bangladesh.
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