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Taxanes Induce a Rapid Mobilization of Different Populations of Circulating Endothelial Progenitors by SDF-1 Modulation in Cancer Patients.

2008· article· en· W2548996487 on OpenAlexaff
Anna Bono, Jessica Quarna, Paola Marighetti, Angelica Calleri, Pierluigi Antoniotti, Patrizia Mancuso, Emile E. Voest, Marlies H.G. Langenberg, Jeanine M.L. Roodhart, Yuval Shaked, Robert S. Kerbel, Francesco Bertolini

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicinePharmacologyGemcitabineCancerCyclophosphamideProgenitor cellDrugChemotherapyCancer researchInternal medicineStem cellBiology

Abstract

fetched live from OpenAlex

Abstract There is increasing clinical evidence that the addition of certain anti-angiogenic drugs can enhance the anti-cancer activity of many different chemotherapeutic drugs. Hypotheses to explain how anti-angiogenic drugs act as chemosensitizing agents include the “cancer vessel normalization” scenario and the ability of anti-angiogenic drugs to slow down tumor regrowth and thus increase the degree and durability of the tumor response. We have previously observed in preclinical studies a mobilization of circulating endothelial progenitors (CEPs) several days after the administration of maximum tolerable dose (MTD) cyclophosphamide (Bertolini et al, 2003), and suggested that such a CEP mobilization may facilitate tumor cell repopulation during the subsequent drug-free break that is necessary to allow recovery from the toxic side effects of such therapy. We report here preclinical and clinical evidence that several chemotherapeutics, and in particular taxanes, induce a rapid CEP increase. In previous mouse studies (Shaked et al, Cancer Cell, in press 2008), 4–24 hours after MTD administration of taxanes we observed a 3–8 fold CEP increase (depending on the mice strain, drug and dose administered). A similarly rapid CEP mobilization was observed (albeit at a less relevant level) after 5-FU administration, but not after the administration of drugs such as gemcitabine, anthracycline derivates or topo-isomerase inhibitors. The rapid mobilization induced by taxanes resulted in a colonization of treated tumors by CEPs, that was abrogated by the previous administration of anti-angiogenic drugs blocking VEGF or VEGFR2. A rapid increase in circulating SDF-1 levels was similarly observed after taxane administration, and inhibition of the CXCR4-SDF-1 axis by monoclonal antibodies blocked CEP mobilization and significantly enhanced the anti-tumor activity of taxanes. In clinical studies in cancer patients in Milan and Utrecht (n=54), we observed that MTD taxanes induced a rapid (by 4 hours) increase in circulating SDF-1 levels and a parallel 2–4 fold increase in a variety of different CEP populations (evaluated by six-colour flow cytometry as viable CD45- CD34+VEGFR2+ cells, CD133+ cells, CD45-CD133+ cells, CD45-CD34+CD133+ cells and CD45-CD34+CD133+CXCR4+ cells). Circulating levels of G-CSF, VEGF, VEGFR1 and VEGFR2 were not significantly modulated 4–24 hours after taxane administration. Taken together, our data indicate a novel SDF-1-related mechanism explaining the chemosensitizing activity of anti-angiogenic drugs and suggest that VEGF/VEGFR and SDF-1 inhibition can increase the anti-cancer efficacy of taxanes. Further investigations about chemotherapy-induced CEP mobilization might have a clinical impact in cancer and vascular medicine.

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 score0.004
Threshold uncertainty score0.012

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.259
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 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

Citations1
Published2008
Admission routes1
Has abstractyes

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