Publications by authors named "D J Mahoney"

Lymphoma is one of the leading causes of cancer and cancer deaths and yet has not been amenable to population screening. The role of methylated DNA markers (MDMs) in the detection of lymphoma has not been extensively studied. We aimed to discover, validate, and test tissue-derived MDMs of lymphoma in archival plasma specimens.

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Oncolytic viruses (OV) are designed to selectively infect and kill cancer cells, while simultaneously eliciting antitumour immunity. The mechanism is expected to originate from infected cancer cells. However, recent reports of tumour regression unaccompanied by cancer cell infection suggest a more complex mechanism of action.

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Objectives: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal disease that is challenging to detect at an early stage. Biomarkers are needed that can detect PDAC early in the course of disease when interventions lead to the best outcomes. We highlight study design and statistical considerations that inform pancreatic cancer early detection biomarker evaluation.

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Conventional dendritic cells (cDCs) generate protective cytotoxic T lymphocyte (CTL) responses against extracellular pathogens and tumors. This is achieved through a process known as cross-presentation (XP), and, despite its biological importance, the mechanism(s) driving XP remains unclear. Here, we show that a cDC-specific pore-forming protein called apolipoprotein L 7C (APOL7C) is up-regulated in response to innate immune stimuli and is recruited to phagosomes.

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Article Synopsis
  • A multicenter study aimed to evaluate the effectiveness of methylated DNA markers (MDMs) found in pancreatic juice (PJ) for detecting pancreatic ductal adenocarcinoma (PDAC) when used alone and in combination with a blood test, CA 19-9.
  • The analysis included DNA samples from 88 confirmed PDAC cases and 134 control cases, utilizing logistic regression to summarize accuracy through the area under the receiver-operating characteristic curve (AUROC).
  • Results showed that the combination model of PJ-MDMs and CA 19-9 achieved a higher accuracy (AUROC of 0.95) compared to using PJ-MDMs (0.87) or CA 19-9 alone (0
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