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Record W3612970 · doi:10.1093/neuonc/nor150

IMMUNOLOGY RESEARCH

2011· article· en· W3612970 on OpenAlexaff
Kristine Dziurzynski, Jianmei Wei, M. A. Hatiboglu, Lingqun Kong, A. Wu, Y. Wang, Daniel P. Cahill, Nicholas B. Levine, Sujit S. Prabhu, Geeta Rao, Raymond Sawaya, Amy B. Heimberger, Jeroen de Vrij, Kitty M.C. Kwappenberg, Sybren L. N. Maas, Anne Kleijn, Martine L.M. Lamfers, Clemens M.F. Dirven, Marco W. Schilham, Marike L. D. Broekman, A. García, Ricardo Alvarez, Rafael Fuentes, J. Marruecos, O. Hernando, Carolina Rubio, Javier A. Menéndez, Joan Brunet, Manuel Hidalgo, Thorsten Jung, Y.-H. Kim, Saehoon Jung, W.-Y. Jang, K.-S. Moon, Injeong Kim, M.-C. Lee, J.-J. Lee, Gary Kohanbash, Kayla McKaveney, M. Sakaki, Akiva Mintz, John R. Ohlfest, Melissa L. Bondy, Minoru Fujita, Hideho Okada, Y. Liu, M. Ohno, Baisakhi Raychaudhuri, Michael A. Vogelbaum, Keith Z. Sabin, Danny C. LeBert, Vanessa Loraine Thibado, Richard Rovin, Johnathan E. Lawrence, Robert J. Winn, Jenneke J. Kloezeman, Elike Treffers-Westerlaken, Giulia Fulci, Sieger Leenstra, Reno Debets, Zineb Belcaid, Jillian Phallen, Jintao Zeng, Alfred P. See, Emilia Albesiano, Nicholas M. Durham, Betty Tyler, Henry Brem, Drew M. Pardoll, Charles G. Drake, Michael Lim, Trisha R. Sippel, Janelle White, R. Russel, Allen Waziri, Eiichi Ishikawa, Maki Ikeura, Michael E. Scheurer, Huqiang Yi, Yuyou Duan, Changlin Yang, K. Seo, Gregory A. Bohach, E. Fortunato, Mingzhu Luo

Bibliographic record

VenueNeuro-Oncology · 2011
Typearticle
Languageen
FieldVeterinary
TopicBrucella: diagnosis, epidemiology, treatment
Canadian institutionsRoyal University Hospital
Fundersnot available
KeywordsEngineering ethicsEngineering

Abstract

fetched live from OpenAlex

We have identified a mechanism by which cytomegalovirus (CMV) interleukin-10 (IL-10) is utilized by glioblastoma multiforme (GBM) to maintain the immunosuppressive microenvironment. CMV has been ubiquitously detected within high-grade gliomas, but its role has not been fully elicited. GBMs harvested ex vivo were analyzed by flow cytometry to determine CMV antigen expression. Distinct expressing subsets of cells, such as the myeloid lineage and CD133+ cells, were identified. CMV antigens US28, pp65, IE1, and gB were also present within four individual and fully characterized human GBM-derived glioma cancer stem cell (gCSC) populations as ascertained by flow cytometry. These gCSCs produce CMV IL-10 in a range from 5.62 to 111.11 pg/mL/10 6 cells/day. When human CD14+ monocytes, precursor cells to macrophages/microglia, were exposed to gCSC-conditioned medium or recombinant CMV IL-10, there was a marked increase in the expression of immune-suppressive factors such as B7-H1, p-STAT3, VEGF, and TGF-beta. Concurrently, anti-tumor and pro-immune MHC II and CD86 were down-regulated and the expression pattern of immune markers was similar to the phenotype of glioma-associated macrophages/microglia. Exposure of CD14+ cells to CMV IL-10 induced the up-regulation of IE1, a marker of transcriptional activity of CMV. Chemotaxis assays revealed that the supernatant from CD14+ cells exposed to CMV IL-10 was able to induce the migration of gCSCs compared with the supernatant from CD14+ cells cultured in medium alone. This result indicates that CMV subverts GBM-associated macrophages/microglia to support the immune-suppressive microenvironment by shifting their phenotype to the immune-suppressive M2. The shift is subsequent to activation of the STAT3 pathway, resulting in the propagation of glioma angiogenesis via an increase in VEGF and by increasing glioma invasion. Therapeutic strategies involving immune-mediated cytotoxic responses now include strategies to reverse tumor-mediated immune suppression. This study suggests that including CMV as a target could enhance the effectiveness of immunotherapy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.008

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 head0.347
GPT teacher head0.455
Teacher spread0.108 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations2
Published2011
Admission routes1
Has abstractyes

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