Mechanisms of resistance to low-dose metronomic cyclophosphamide
Bibliographic record
Abstract
13079 Background: It has been postulated that antiangiogenic therapies are less susceptible to acquired resistance compared to conventional treatment strategies, which target genetically unstable tumor cells. However, resistance is commonly seen (pre)clinically. A better understanding of the underlying mechanisms is clearly needed to improve such therapies. Methods: We studied mechanisms of acquired resistance to low-dose metronomic (LDM) cyclophosphamide (CTX), the continuous or frequent administration of comparatively low doses of CTX with no extended breaks resulting primarily in antiangiogenic effects, by using LDM CTX relapsed/resistant variants obtained during prolonged in vivo therapy from the human prostate cancer cell line PC-3, which initially is highly responsive. The variants were analyzed for their growth characteristics, angiogenic “phenotype” and impact on circulating endothelial cells (CEC)/endothelial cell progenitors (CEP). Furthermore, we obtained microvessel density (MVD) counts of corresponding xenografts and analyzed in vitro resistance to 4-hydroxycyclophosphamide (4-OH-CTX), hypoxia, acidosis, and glucose as well as serum deprivation. Results: The resistant variants did not show consistent changes in their angiogenic “phenotype”. The decrease in MVD upon LDM CTX treatment was comparable to that obtained in xenografts from parental PC-3, which was reflected by similar changes in the number of CEC and CEP. Despite in vivo resistance to LDM CTX, there was no evidence of in vitro resistance of the variants to 4-OH-CTX. However, they exhibited increased tolerance to microenvironmental stress resulting from sustained antiangiogenic activity. Conclusions: In this model, resistance to LDM CTX develops despite sustained antiangiogenic activity. This provides further evidence that reduced vascular dependence of the tumor cell population may be a basis for the observed resistance. The administration of CTX in a LDM manner does not result in tumor cell CTX resistance, supporting the notion that LDM protocols target primarily the tumor vasculature. If confirmed in ongoing clinical metronomic chemotherapy trials, our results will have major implications for the management of patients that progress under such treatment. No significant financial relationships to disclose.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".