The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
VEGF Trap complex formation measures production rates of VEGF, providing a biomarker for predicting efficacious angiogenic blockade
Open accessAbstract
VEGF is the best characterized mediator of tumor angiogenesis. Anti-VEGF agents have recently demonstrated impressive efficacy in human cancer trials, but the optimal dosing of such agents must still be determined empirically, because biomarkers to guide dosing have yet to be established. The widely accepted (but unverified) assumption that VEGF production is quite low in normal adults led to the notion that increased systemic VEGF levels might quantitatively reflect tumor mass and angiogenic activity. We describe an approach to determine host and tumor production of VEGF, using a high-affinity and long-lived VEGF antagonist now in clinical trials, the VEGF Trap. Unlike antibody complexes that are usually rapidly cleared, the VEGF Trap forms inert complexes with tissue- and tumor-derived VEGF that remain stably in the systemic circulation, where they are readily assayable, providing unprecedented capability to accurately measure VEGF production. We report that VEGF production is surprisingly high in non-tumor-bearing rodents and humans, challenging the notion that systemic VEGF levels can serve as a sensitive surrogate for tumor load; tumor VEGF contribution becomes significant only with very large tumor loads. These findings have the important corollary that anti-VEGF therapies must be sufficiently dosed to avoid diversion by host-derived VEGF. We further show that our assay can indicate when VEGF is optimally blocked; such biomarkers to guide dosing do not exist for other anti-VEGF agents. Based on this assay, VEGF Trap doses currently being assessed in clinical trials are in the efficacious range.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bevacizumab plus Irinotecan, Fluorouracil, and Leucovorin for Metastatic Colorectal Cancer
Hurwitz, H., Fehrenbacher, L., Novotny, W., Cartwright, T., Hainsworth, J., Heim, W., Berlin, J., Baron, A., Griffing, S., Holmgren, E., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032691 · Cited by 10,968
Kim, K. J., Li, B., Winer, J., Armanini, M., Gillett, N., Phillips, H. S., & Ferrara, N. (1993) · Nature · doi:10.1038/362841a0 · Cited by 3,605
Transplacental Carcinogenesis by Stilbestrol
Folkman, J. (1971) · New England Journal of Medicine · doi:10.1056/nejm197108122850711 · Cited by 2,640
VEGF-Trap: A VEGF blocker with potent antitumor effects
Holash, J., Davis, S., Papadopoulos, N., Croll, S. D., Ho, L., Russell, M., Boland, P., Leidich, R., Hylton, D., Burova, E., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.172398299 · Cited by 1,691
Self-citationVEGF and the quest for tumour angiogenesis factors
Ferrara, N. (2002) · Nature Reviews Cancer · doi:10.1038/nrc909 · Cited by 1,536
Kabbinavar, F. F., Hambleton, J., Mass, R. D., Hurwitz, H. I., Bergsland, E., & Sarkar, S. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.00.232 · Cited by 686
Cited by
Markers of Response for the Antiangiogenic Agent Bevacizumab
Lambrechts, D., Lenz, H.-J., de Haas, S., Carmeliet, P., & Scherer, S. J. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.46.2762 · Cited by 332
El‐Kenawi, A. E., & El‐Remessy, A. B. (2013) · British Journal of Pharmacology · doi:10.1111/bph.12344 · Cited by 253
Aflibercept for neovascular age-related macular degeneration
Sarwar, S., Clearfield, E., Soliman, M. K., Sadiq, M. A., Baldwin, A. J., Hanout, M., Agarwal, A., Sepah, Y. J., Do, D. V., & Nguyen, Q. D. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011346.pub2 · Cited by 142
A 3D human renal cell carcinoma-on-a-chip for the study of tumor angiogenesis
Miller, C. P., Tsuchida, C., Zheng, Y., Himmelfarb, J., & Akilesh, S. (2018) · Neoplasia · doi:10.1016/j.neo.2018.02.011 · Cited by 105
Metadata
- Authors
- Rudge, J. S., Holash, J., Hylton, D., Russell, M., Jiang, S., Leidich, R., Papadopoulos, N., Pyles, E. A., Torri, A., Wiegand, S. J., Thurston, G., Stahl, N., & Yancopoulos, G. D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-11-20
- Volume
- 104
- Issue
- 47
- Pages
- 18363-18370
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2059889603
- Cited by
- 203
- References
- 6
- FWCI
- 4.55
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: VEGF Trap complex formation measures production rates of VEGF, providing a biomarker for predicting efficacious angiogenic blockade. https://app.cochat.ai/papers/10.1073/pnas.0708865104
- The paper
- Rudge, J. S., Holash, J., Hylton, D., Russell, M., Jiang, S., Leidich, R., Papadopoulos, N., Pyles, E. A., Torri, A., Wiegand, S. J., Thurston, G., Stahl, N., & Yancopoulos, G. D. (2007). VEGF Trap complex formation measures production rates of VEGF, providing a biomarker for predicting efficacious angiogenic blockade. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0708865104
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.