Abstract
Methods: We used the Buffa gene signature as a hypoxia score to profile transcriptomics datasets from PDAC cases. We performed cell-type deconvolution and gene expression profiling approaches to compare the immunological phenotypes of cases with low and high hypoxia scores. We further supported our findings by qPCR analyses in PDAC cell lines cultured in hypoxic conditions.
Results: First, we demonstrated that this hypoxia score is associated with increased tumour grade and reduced survival suggesting that this score is correlated to disease progression. Subsequently, we compared the immune phenotypes of cases with high versus low hypoxia score expression (HypoxiaHI vs. HypoxiaLOW) to show that high hypoxia is associated with reduced levels of T cells, NK cells and dendritic cells (DC), including the crucial cDC1 subset. Concomitantly, immune-related gene expression profiling revealed that compared to HypoxiaLOW tumours, mRNA levels for multiple immunosuppressive molecules were notably elevated in HypoxiaHI cases. Using a Random Forest machine learning approach for variable selection, we identified LGALS3 (Galectin-3) as the top gene associated with high hypoxia status and confirmed its expression in hypoxic PDAC cell lines.
Discussion: In summary, we demonstrated novel associations between hypoxia and multiple immunosuppressive mediators in PDAC, highlighting avenues for improving PDAC immunotherapy by targeting these immune molecules in combination with hypoxia-targeted drugs.
Original language | English |
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Article number | 1360629 |
Number of pages | 14 |
Journal | Frontiers in Immunology |
Volume | 15 |
DOIs | |
Publication status | Published - 6 Mar 2024 |
Bibliographical note
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Funder
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. HS and BB have received funding from the Research Excellence Development Fund at Coventry University. AA acknowledges support from the, HYPERMARKER (Grant agreement ID 101095480), and the MRC Health Data Research UK (HDRUK/CFC/01) and HDRUK midlands regional community project [QQ2], initiatives funded by UK Research and Innovation, Department of Health and Social Care (England) and the devolved administrations, and leading medical research charities.Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. HS and BB have received funding from the Research Excellence Development Fund at Coventry University. AA acknowledges support from the, HYPERMARKER (Grant agreement ID 101095480), and the MRC Health Data Research UK (HDRUK/CFC/01) and HDRUK midlands regional community project [QQ2], initiatives funded by UK Research and Innovation, Department of Health and Social Care (England) and the devolved administrations, and leading medical research charities. The views expressed in this publication are those of the authors and not necessarily those of the NHS, the National Institute for Health Research, the Medical Research Council or the Department of Health.
Funders | Funder number |
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Department of Health and Social Care | |
Medical Research Council | HDRUK/CFC/01 |
Coventry University | |
UK Research and Innovation | |
HYPERMARKER | 101095480 |
Keywords
- hypoxia
- tumor microenvironment (TME)
- pancreatic ductal adenocarcinoma (PDAC)
- immune checkpoint
- galectins
- Humans
- Carcinoma, Pancreatic Ductal
- Tumor Microenvironment
- Tumor Microenvironment (Tme)
- Immune Checkpoint
- Disease Progression
- Pancreatic Ductal Adenocarcinoma (Pdac)
- Hypoxia
- Galectins
- Pancreatic Neoplasms