Oesophageal adenocarcinoma (OAC) is the 7th most common cancer in the United Kingdom (UK) and remains a significant health challenge. This study presents a proteomic analysis of seven OAC donors complementing our previous neoantigen identification study of their human leukocyte antigen (HLA) immunopeptidomes. Our small UK cohort were selected from donors undergoing treatment for OAC. We used label-free mass spectrometry proteomics to compare OAC tumour tissue to matched normal adjacent tissue (NAT) to quantify expression of 3552 proteins. We identified differential expression of a number of proteins previously linked to OAC and other cancers including common markers of tumourigenesis and immunohistological markers, as well as enrichment of processes and pathways relating to RNA processing and the immune system. Our findings also offer insight into the role of the protein stability in the generation of an OAC neoantigen we previously identified. These results provide independent corroboration of existing oesophageal adenocarcinoma biomarker studies that may inform future diagnostic and therapeutic research.
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PLoS One
March 2025
Centre for Proteomic Research, Biological Sciences and Institute for Life Sciences, Building 85, University of Southampton, Southampton, United Kingdom.
Oesophageal adenocarcinoma (OAC) is the 7th most common cancer in the United Kingdom (UK) and remains a significant health challenge. This study presents a proteomic analysis of seven OAC donors complementing our previous neoantigen identification study of their human leukocyte antigen (HLA) immunopeptidomes. Our small UK cohort were selected from donors undergoing treatment for OAC.
View Article and Find Full Text PDFClin Transl Oncol
March 2025
Pathology Department, Hospital del Mar, Pompeu Fabra University, Hospital del Mar Research Institute, Barcelona, Spain.
Gastroesophageal carcinomas, including gastroesophageal adenocarcinoma (GEA) and esophageal squamous cell carcinoma (ESCC), pose a global health challenge due to their heterogeneity. The approach to diagnosis and treatment should first differentiate between GEA and ESCC. Over the past decade, therapies for metastatic or advanced GEA/ESCC have expanded, with several new therapeutic targets alongside trastuzumab for metastatic HER2-positive GEA.
View Article and Find Full Text PDFSurg Oncol
March 2025
Institute of Surgery, Division of Surgical Oncology, Allegheny Health Network Cancer Institute, Pittsburgh, PA, USA. Electronic address:
Introduction: Compared to open surgery (OS), minimally invasive surgery (MIS) for foregut cancer improves perioperative outcomes. However, the impact of MIS on long-term quality of life (QOL) is unknown. We compare the long-term QOL of patients who underwent MIS and OS for foregut cancer.
View Article and Find Full Text PDFActa Anaesthesiol Scand
April 2025
Surgery Research Unit, Oulu University Hospital and University of Oulu, Oulu, Finland.
Background: The use of epidural analgesia has been proposed to improve the prognosis of esophageal cancer by attenuating the stress response and being less immunosuppressive than opioids. This study aims to evaluate the association, if any, between non-epidural pain management compared to epidural analgesia during minimally invasive or open esophagectomy and esophageal cancer prognosis.
Materials And Methods: This was a population-based nationwide retrospective cohort study in Finland, using the Finnish National Esophago-Gastric Cancer Cohort (FINEGO).
JTCVS Open
February 2025
Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif.
Objective: Radiation after esophagectomy may cause conduit dysfunction with unclear oncologic benefits. We hypothesized that adjuvant chemoradiation does not improve survival over chemotherapy alone for patients with pathologic upstaging after primary surgery for cT1-2N0M0 esophageal adenocarcinoma.
Methods: The impact of adjuvant therapy after primary surgery for cT1-2N0M0 esophageal adenocarcinoma upstaged to pT3-4 or pN+ in the National Cancer Database (2004-2019) was evaluated with logistic regression, Kaplan-Meier analysis, and Cox modeling.
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