Publications by authors named "S J Stoneham"

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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Article Synopsis
  • Women aged 40 years and older diagnosed with malignant ovarian germ cell tumors experience poorer outcomes compared to younger patients (15-39 years), reflecting higher risks and severity of their conditions.
  • The study utilized the National Cancer Database from 2004-2016 to analyze care patterns and survival rates across different age groups, focusing on four common tumor types.
  • Results indicated older women were more likely to face additional health issues, advanced disease stages, and less effective treatments, contributing to a significantly higher risk of death from their diagnosis.
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Background: Qualitative research has explored how some testicular cancer survivors (TCS) experience the psychological impacts of diagnosis and treatment. More research into the impacts of testicular cancer (TC) on adolescent and young adults (AYA) is needed due to the critical period of identity development. The present study aimed to explore how AYA with TC appraise and make sense of their experience and to develop a greater understanding of psychosexual identity development in AYA TCS.

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Ovarian immature teratoma (IT) is a rare neoplasm comprising ∼3% of ovarian cancers, occurring primarily in young females. Management presents several challenges, including those with elevated serum alpha-fetoprotein, potential confusion regarding pathology interpretation, and paucity of data to support decision-making. MaGIC (https://magicconsortium.

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Background: ChatGPT is an online language-based platform designed to answer questions in a human-like way, using deep learning -technology.

Objectives: To examine the diagnostic capabilities of ChatGPT using real-world anonymized medical dermatology cases.

Methods: Clinical information from 90 consecutive patients referred to a single dermatology emergency clinic between June and December 2022 were examined.

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