Preclinical Drug Development Must Consider the Impact on Metastasis
Bibliographic record
Abstract
Recently, two landmark reports on antiangiogenic therapy were published: Paez-Ribes and colleagues (1) and Ebos and colleagues (2). The Board of the Metastasis Research Society (MRS) congratulates the authors for their informative articles (1, 2) that help to explain the puzzle of why antiangiogenic agents have had a relatively minor or no significant impact on patient survival. Using four model systems and several different strategies, these researchers showed that inhibition of angiogenesis reduced primary tumor growth and microvessel density in keeping with many earlier reports, but strikingly, accelerated invasion and metastasis.It is well known that the majority of cancer patients who succumb to their disease do so following development of incurable metastatic disease. However, the emphasis on preclinical testing of new compounds still rests on the responses of subcutaneous or orthotopic primary tumors from various mouse models over a relatively short time frame. The reports of both Ebos and colleagues (2) and Paez-Ribes and colleagues (1) elegantly reveal the limitations of this approach, at least with regard to targeting of angiogenesis.It is important to reflect on the fact that other drugs and preclinical compounds, when tested for both primary tumor size and metastasis, have exhibited discordant results. For example, cyclophosphamide inhibited primary lung adenocarcinoma but promoted metastasis to the lung and liver (3), and the Hsp90 inhibitor 17-AAG inhibited primary breast cancer but promoted metastasis to the bone (4). Vandetanib, a vascular endothelial growth factor receptor (VEGFR) inhibitor, reduced the growth of primary fibrosarcomas, but had no effect on their metastasis (5). Interestingly, a number of agents have been shown to exert no significant effects on primary tumor size, but still had the capacity to inhibit metastasis (6–13). Given the fact that primary tumors can often be controlled using conventional therapies, could agents that act specifically on the process of metastasis be more likely to increase long term patient survival?On the basis of these new reports and earlier data, we propose that preclinical drug development in general—and not only for antiangiogenic compounds—be required to show efficacy in at least one metastasis model, preferably incorporating metastasis from an orthotopic site. Robust models are available with relevant histology (i.e., similar to human) and imaging for quantification. The U.S. Food and Drug Administration (FDA), other regulatory agencies and their clients, and patients considering entrance into a clinical trial, currently have access to detailed information such as weight loss in mice exposed to a compound. In our opinion, it is just as important to reveal information on the capacity of a new compound to accelerate or inhibit invasion and tumor metastasis.No potential conflicts of interest were disclosed.
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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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".