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Record W2317222179 · doi:10.1158/1538-7445.am2012-4844

Abstract 4844: A novel mechanism of immune escape in cancer and its regulation by nitric oxide

2012· article· en· W2317222179 on OpenAlexaff
Ivraym B. Barsoum, Thomas K. Hamilton, Ellen A. Miles, Robert Siemens, Charles H. Graham

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsQueen's University
Fundersnot available
KeywordsDU145Hypoxia (environmental)Immune systemCancer cellCancer researchGene knockdownBiologyCell biologyMHC class IImmunologyChemistryCancerCell cultureMajor histocompatibility complex

Abstract

fetched live from OpenAlex

Abstract One key to malignant progression is the acquired ability of tumor cells to escape immune-mediated lysis. Whereas tumor hypoxia is known to play a causal role in cancer metastasis and resistance to therapy, the link between hypoxia and immune escape in cancer remains poorly understood. Previously, we showed that hypoxia induces resistance to natural killer (NK) cell-mediated lysis in tumour cells through a mechanism that involves the shedding of the NK cell-activating ligand, MHC Class I Chain Related molecule A (MICA), from the cell surface. Additionally, we reported that activation of NO signalling in the tumour cells was able to block this hypoxia-induced shedding of MICA, as well as resistance to NK-mediated lysis. Here, we show that hypoxia-induced tumor resistance to lysis is mediated by a HIF-1-dependent increased expression of the metalloproteinase ADAM10, which is required for the hypoxia-induced shedding of MICA. Our findings demonstrate that HIF-1α knock down attenuated the hypoxia-induced expression of ADAM10 and MICA in tumour cells. Also, siRNA-mediated knockdown of HIF-1α or ADAM10 prevented the hypoxia-induced resistance of DU145 cells to innate immune effector cell-mediated lysis. Treatment with nitric oxide mimetic agents interfered with the hypoxia-induced accumulation of HIF-1α, and with the hypoxia-induced up-regulation of ADAM10 expression required for decreased surface MICA expression and resistance to lysis. To validate the in vitro results, we adopted a model in which human DU145 cells were injected subcutaneously into Swiss nude mice (T and B cell-deficient). Continuous transdermal delivery of nitroglycerine (1.8 µg/h for up to 62 days) significantly attenuated attenuated the tumor growth (P < 0.05). This tumor growth-inhibitory effect of nitroglycerine was absent in mice depleted of innate immune effector cells. Within the tumours, areas of hypoxia co-localized with the metalloproteinase ADAM10 expression. Our results demonstrate a novel mechanism by which hypoxia contributes to immune escape in tumor cells and provide evidence that activation of nitric oxide signalling interferes with this mechanism. The findings described here are important because they indicate that nitric oxide mimetics could potentially be used as immunosensitizers in the treatment and/or prevention of cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4844. doi:1538-7445.AM2012-4844

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.359
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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