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Record W2737655512 · doi:10.18632/oncotarget.19320

Tumacrophage: macrophages transformed into tumor stem-like cells by virulent genetic material from tumor cells

2017· article· en· W2737655512 on OpenAlexafffundabout
Yizhuang Zhang, Na Zhou, Xiuyan Yu, Xuehui Zhang, Shanxin Li, Zhen Lei, Ruobi Hu, Hui Li, Yiqing Mao, Xi Wang, Jinshu Zhang, Yuan Li, Hongyan Guo, David M. Irwin, Gang Niu, Huanran Tan

Bibliographic record

VenueOncotarget · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsCancer stem cellCancer researchBiologyStem cellMetastasisOvarian cancerTumor progressionImmune systemInnate immune systemCancerImmunologyCell biology

Abstract

fetched live from OpenAlex

// Yizhuang Zhang 1, * , Na Zhou 1, * , Xiuyan Yu 1, * , Xuehui Zhang 1 , Shanxin Li 1 , Zhen Lei 5 , Ruobi Hu 1 , Hui Li 1 , Yiqing Mao 1 , Xi Wang 1 , Jinshu Zhang 2 , Yuan Li 3 , Hongyan Guo 3 , David M. Irwin 4 , Gang Niu 5 and Huanran Tan 1 1 Department of Pharmacology, Peking University, Beijing, China 2 Department of Clinical Laboratory, The 305 Hospital of People’s Liberation Army, Beijing, China 3 Department of Gynaecology and Obstetrics, Peking University Third Hospital, Beijing, China 4 Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada 5 N & N Genetech Company, Ltd., Beijing, China * These authors have contributed equally to this work Correspondence to: Huanran Tan, email: tanlab@bjmu.edu.cn Gang Niu, email: nngene@sohu.com David M. Irwin, email: david.irwin@utoronto.ca Keywords: macrophages, circulating tumor cells, apoptosis, phagocytosis, epithelial tumors Received: May 04, 2017      Accepted: June 20, 2017      Published: July 18, 2017 ABSTRACT Tumor-associated macrophages are regarded as tumor-enhancers as they have key roles in the subversion of adaptive immunity and in inflammatory circuits that promote tumor progression. Here, we show that cancer cells can subvert macrophages yielding cells that have gained pro-tumor functions. When macrophages isolated from mice or humans are co-cultured with dead cancer cell line cells, induced to undergo apoptosis to mimic chemotherapy, up-regulation of pro-tumor gene expression was identified. Phagocytosis of apoptotic cancer cells by macrophages resulted in their transformation into tumor stem (initiating)-like cells, as indicated by the expression of epithelial markers (e.g., cytokeratin) and stem cell markers (e.g., Oct4) and their capability to differentiate in vitro and self-renew in serum-free media. Moreover, we identified a subset of monocytes/macrophages cells in the blood of cancer (breast, ovarian and colorectal) patients undergoing chemotherapy that harbor tumor transcripts. Our findings uncover a new role for macrophages in tumor development, where they can be transformed into tumor-like cells, potentially by horizontal gene transfer of tumor-derived genes, thus, by taking advantage of chemotherapy, these transformed macrophages promote tumor metastasis by escaping immune surveillance.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.007
GPT teacher head0.225
Teacher spread0.218 · 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 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

Citations37
Published2017
Admission routes3
Has abstractyes

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