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Record W2908142050 · doi:10.1097/prs.0000000000005142

Promotion of Primary Murine Breast Cancer Growth and Metastasis by Adipose-Derived Stem Cells Is Reduced in the Presence of Autologous Fat Graft

2018· article· en· W2908142050 on OpenAlexaff
Simon Gebremeskel, John Gencarelli, Alison J. Gareau, Terry L. LeVatte, B.Sc. Anton Dugandzic, Brent Johnston, Michael Bezuhly

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsBeatrice Hunter Cancer Research Institute
Fundersnot available
KeywordsAdipose tissueStem cellMedicineMetastasisCancer researchAngiogenesisVascular endothelial growth factorCancer stem cellPathologyCancerInternal medicineBiologyCell biology

Abstract

fetched live from OpenAlex

BACKGROUND: Cell-assisted lipotransfer involves enrichment of autologous fat with supraphysiologic numbers of adipose-derived stem cells to improve graft take. Adipose-derived stem cells have been shown to promote cancer progression, raising concerns over the safety of adipose-derived stem cells and cell-assisted lipotransfer in postoncologic breast reconstruction. The authors compared the effect of adipose-derived stem cells alone, cell-assisted lipotransfer, and conventional fat grafting on breast cancer growth and metastasis. METHODS: Proliferation and migration of murine 4T1 breast cancer cells cultured in control medium or mouse adipose-derived stem cell- or fat graft-conditioned medium were assessed by flow cytometry and scratch assay, respectively. Transcription levels of arginase-1, transforming growth factor-β, and vascular endothelial growth factor were assessed in adipose-derived stem cells and fat graft by quantitative reverse transcription polymerase chain reaction. An orthotopic mouse tumor model was used to evaluate breast cancer progression and metastasis. 4T1 cells were injected into the mammary pad of female BALB/c mice. Six days later, tumors were injected with saline, adipose-derived stem cells, fat graft, or cell-assisted lipotransfer (n = 7 per group). Two weeks later, primary tumors were examined by immunohistochemistry and lung metastasis was quantified. RESULTS: Adipose-derived stem cell-conditioned medium increased cancer cell proliferation (p = 0.03); migration (p < 0.01); and transcription of arginase-1, transforming growth factor-β, and vascular endothelial growth factor compared to fat graft-conditioned or control medium (p < 0.02). Tumor-site injection with adipose-derived stem cells alone led to increased primary tumor growth and lung metastasis compared to control, fat graft, or cell-assisted lipotransfer groups (p < 0.05). Adipose-derived stem cell injection increased CD31 vascular density in tumors (p < 0.01). CONCLUSION: Adipose-derived stem cells alone, but not conventional fat graft or cell-assisted lipotransfer, promote breast cancer cell proliferation and invasiveness in vitro and in vivo.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.116
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.270
Teacher spread0.237 · 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 teacher head, 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

Citations21
Published2018
Admission routes1
Has abstractyes

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