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Record W2561520378 · doi:10.1158/1557-3125.advbc-a108

Abstract A108: Distinct immune suppressive myeloid cell populations are induced by hypoxic mammary tumors and differentially promote metastatic tumor growth

2013· article· en· W2561520378 on OpenAlexaff
Melisa J. Hamilton, Momir Bosiljcic, Nancy E. LePard, Bryant Harbourne, Gerald Krystal, Kevin L. Bennewith

Bibliographic record

VenueMolecular Cancer Research · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMyeloid-derived Suppressor CellImmune systemCancer researchMyeloidMetastasisTumor microenvironmentBiologyPrimary tumorMammary tumorImmunologyCancerSuppressorBreast cancer

Abstract

fetched live from OpenAlex

Abstract Some primary tumors induce the accumulation of myeloid cells in distant tissues, and a role for these cells in promoting metastasis is emerging. However, the identity and function of these myeloid cells in metastatic breast cancer is unclear. Using transplantable and spontaneous metastatic mammary tumor models, we have found that immune suppressive CD11b+Gr1+ myeloid-derived suppressor cells (MDSCs) and CD11b+F4/80+Gr1- macrophages (MΦs) accumulate in the spleens and lungs of tumor-bearing mice due to proteins secreted by poorly oxygenated (hypoxic) cells in primary tumors. We also found that immunosuppressive MDSCs remain elevated in the lungs for several weeks after surgical resection of the primary tumor, and that these MDSCs profoundly enhance subsequent pulmonary metastatic growth. To decrease MDSC levels in tissues, we therapeutically targeted hypoxic tumor cells or used all-trans retinoic acid (ATRA) to differentiate immature MDSCs into mature MΦs. Targeting hypoxic tumor cells or ATRA treatment both decreased MDSC levels in tissues, although ATRA-treated mice had more MΦs and significantly more lung metastases than untreated mice. Consistent with these data, we found that MΦs were 30-fold more potent suppressors of T cell-mediated immune responses than MDSCs on a per cell basis, and that MΦs and MDSCs suppress via different reactive oxygen species (ROS)-mediated mechanisms. Taken together, these data suggest that hypoxia-mediated accumulation of MDSCs in the lungs can have long-lasting implications for the growth of secondary metastatic tumors after treatment. However, due to the immune suppressive function of MΦs, our data caution against inducing the terminal differentiation of MDSCs into MΦs for breast cancer treatment. These studies support the development of therapies to enhance anti-tumor immunity by targeting hypoxic tumor cells, MDSCs, and MΦs for the treatment of metastatic breast cancer. Citation Format: Melisa J. Hamilton, Momir Bosiljcic, Nancy E. LePard, Bryant T. Harbourne, Gerald Krystal, Kevin L. Bennewith. Distinct immune suppressive myeloid cell populations are induced by hypoxic mammary tumors and differentially promote metastatic tumor growth. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications; Oct 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2013;11(10 Suppl):Abstract nr A108.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

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)0.0020.000

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 head0.032
GPT teacher head0.305
Teacher spread0.273 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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
Published2013
Admission routes1
Has abstractyes

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