Publications by authors named "H Pass"
Lung allograft dysbiosis associates with immune response and primary graft dysfunction.
J Heart Lung Transplant
November 2024
Article Synopsis
- Lower airway dysbiosis, characterized by an increase in specific bacteria, is linked to various severity grades of primary graft dysfunction (PGD) after lung transplantation, particularly in moderate and severe cases.
- A study involving lower airway samples from 96 lung transplant recipients showed correlations between PGD severity and elevated levels of inflammatory markers, particularly neutrophils and specific cytokines, indicating a distinct inflammatory response.
- Results suggest that microbial differences may influence host immune signaling, potentially exacerbating inflammation and contributing to PGD pathogenesis, highlighting the importance of microbial balance in lung health post-transplant.
Background: Pleural mesothelioma (PM) is a cancer with usually a dismal prognosis. However, long-term survivors do exist. Herein, we analyzed long-term survivors (>5 years after surgery) from high-volume centres around the world.
View Article and Find Full Text PDFThe interaction between tumors and their microenvironment is complex and heterogeneous. Recent developments in high-dimensional multiplexed imaging have revealed the spatial organization of tumor tissues at the molecular level. However, the discovery and thorough characterization of the tumor microenvironment (TME) remains challenging due to the scale and complexity of the images.
View Article and Find Full Text PDFLung Microbial and Host Genomic Signatures as Predictors of Prognosis in Early-Stage Adenocarcinoma.
Cancer Epidemiol Biomarkers Prev
November 2024
Article Synopsis
- This study explores the significant risk of recurrence in early-stage lung adenocarcinoma after surgical removal, noting that current methods lack biomarkers for prediction.
- Researchers analyzed 91 patients' tumor and nearby unaffected lung tissue using specialized gene sequencing techniques to identify potential microbial and host genomic factors associated with recurrence.
- Results revealed specific bacterial enrichments linked to recurrence in both tumor (e.g., Dialister) and unaffected lung samples (e.g., Sphingomonas), with a combined model showing strong predictive performance for recurrence using unaffected lung samples (AUC = 0.83).