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Mesenchymal Stromal Cells Engineered To Express IL-12 for Breast Cancer Cellular Immunotherapy.

2007· article· en· W2586788951 on OpenAlexaff
Nicoletta Eliopoulos, Moïra François, Daniel Martineau, Jacques Galipeau

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsJewish General HospitalUniversité de MontréalMcGill University
Fundersnot available
KeywordsMesenchymal stem cellMatrigelCancer researchBreast cancerMedicineStromal cellImmunotherapyBone marrowImmune systemCancerCell therapyCytokineCancer immunotherapyCancer cellImmunologyAngiogenesisBiologyStem cellPathologyInternal medicineCell biology

Abstract

fetched live from OpenAlex

Abstract Interleukin 12 (IL-12), produced mostly by antigen presenting cells, is a heterodimeric Th1 cytokine which has been shown to induce a cellular immune response, cancer cell apoptosis, as well as anti-angiogenesis. Many studies have demonstrated the anti-cancer effectiveness of IL-12. However, significant toxicity from recombinant human IL-12 administration has been noted in phase I/II studies in advanced cancers. Therefore, sustained delivery of IL-12, avoiding toxic peaks seen with intermittent IV infusions, would be desirable. One means of delivering sustained and optimal amounts of IL-12 in cancer patients may be through a gene-enhanced cell therapy approach which our study assessed in a pre-clinical model of breast cancer. More specifically, we tested the use of an injectable subcutaneous implant comprising bone marrow-derived mesenchymal stromal cells (MSCs) gene-modified ex vivo to secrete IL-12 in mice with 4T1 breast cancer. Balb/c mice injected subcutaneously with the syngeneic 4T1 breast cancer cells at 2.5 x 104 cells/mouse received the following day, at the same location, Matrigel-embedded IL-12 gene-modified Balb/c-derived MSCs (IL-12 MSCs) or Matrigel-embedded control-vector modified MSCs (Control MSCs) at 106 cells/mouse. Tumor growth over time was determined in these two groups of mice, as well as in mice that received 4T1 cells only without any implants of MSCs (n=5-9/group). Our results revealed a substantial slowing of tumor progression in mice implanted with IL-12 MSCs as indicated by 100% of IL-12 mice being tumor-free on day 20 post-4T1 cell implantation, versus 0% of mice in both control groups, and with over 50% of IL-12 mice remaining tumor-free for over 50 days. Repeat experiments showed similar results. Analysis of plasma samples demonstrated significantly elevated levels of IL-12 and of interferon-γ in mice that received the implants of IL-12 MSCs, versus mice that received the Control MSCs. However, when tested in immunodeficient NOD-SCID mice, our approach revealed 0% tumor-free mice at day 20 post-implantation for all three groups, thus indicating that the anti-cancer effect seen in normal mice was mediated by bystander immune cells. In addition, we determined that the slowing of tumor growth was not due to systemic but to local delivery of IL-12, since IL-12 MSCs when injected in the flank contralateral to the 4T1 cells did not lead to any beneficial effect, all mice developing tumors similarly within 20 days. In an implant analysis experiment where 4T1 cells were admixed with MSCs in Matrigel and retrieved 2 weeks post-implantation, histopathology revealed substantially less tumor cells in implants with IL-12 MSCs as well as the presence of necrotic capillaries and necrotic tumor islets, in contrast to controls where most of the implant was occupied by tumor cells and with the presence of viable capillaries and tumor islets. Furthermore, we noted the beneficial effect of our gene-enhanced cell therapy strategy in the B16 mouse melanoma model as well. In conclusion, our investigation demonstrates the potential of employing autologous MSCs genetically engineered to secrete a therapeutic protein of interest, in this case IL-12, as part of a cell-based immunotherapy strategy for cancer therapy.

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 score0.001
Threshold uncertainty score0.004

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)0.0010.001

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 head0.019
GPT teacher head0.292
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".

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Citations1
Published2007
Admission routes1
Has abstractyes

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