The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Anti-angiogenic agents for the treatment of solid tumors: Potential pathways, therapy and current strategies – A review
Open accessAbstract
Recent strategies for the treatment of cancer, other than just tumor cell killing have been under intensive development, such as anti-angiogenic therapeutic approach. Angiogenesis inhibition is an important strategy for the treatment of solid tumors, which basically depends on cutting off the blood supply to tumor micro-regions, resulting in pan-hypoxia and pan-necrosis within solid tumor tissues. The differential activation of angiogenesis between normal and tumor tissues makes this process an attractive strategic target for anti-tumor drug discovery. The principles of anti-angiogenic treatment for solid tumors were originally proposed in 1972, and ever since, it has become a putative target for therapies directed against solid tumors. In the early twenty first century, the FDA approved anti-angiogenic drugs, such as bevacizumab and sorafenib for the treatment of several solid tumors. Over the past two decades, researches have continued to improve the performance of anti-angiogenic drugs, describe their drug interaction potential, and uncover possible reasons for potential treatment resistance. Herein, we present an update to the pre-clinical and clinical situations of anti-angiogenic agents and discuss the most recent trends in this field.
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
Siegel, R. L., Miller, K. D., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21332 · Cited by 16,003
Isolation of Putative Progenitor Endothelial Cells for Angiogenesis
Asahara, T., Murohara, T., Sullivan, A., Silver, M., van der Zee, R., Li, T., Witzenbichler, B., Schatteman, G., & Isner, J. M. (1997) · Science · doi:10.1126/science.275.5302.964 · Cited by 8,725
Normalization of Tumor Vasculature: An Emerging Concept in Antiangiogenic Therapy
Jain, R. K. (2005) · Science · doi:10.1126/science.1104819 · Cited by 5,527 · cited 1×
“Vascular normalization is accompanied by improved intratumoral perfusion characteristics and better delivery of nutrients, oxygen and chemotherapeutic agents themselves to deeper micro-regions of solid tumors [159].”
BackgroundMolecular mechanisms and clinical applications of angiogenesis
Carmeliet, P., & Jain, R. K. (2011) · Nature · doi:10.1038/nature10144 · Cited by 5,467
Modes of resistance to anti-angiogenic therapy
Bergers, G., & Hanahan, D. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2442 · Cited by 2,953 · cited 4×
“Resistance to angiogenic therapy is widely believed to be mediated by several mechanisms that fall into two main categories; adaptive and intrinsic resistance [178].”
BackgroundInfluentialYang, L., DeBusk, L. M., Fukuda, K., Fingleton, B., Green-Jarvis, B., Shyr, Y., Matrisian, L. M., Carbone, D. P., & Lin, P. C. (2004) · Cancer Cell · doi:10.1016/j.ccr.2004.08.031 · Cited by 1,140
Tumor refractoriness to anti-VEGF treatment is mediated by CD11b+Gr1+ myeloid cells
Shojaei, F., Wu, X., Malik, A. K., Zhong, C., Baldwin, M. E., Schanz, S., Fuh, G., Gerber, H.-P., & Ferrara, N. (2007) · Nature Biotechnology · doi:10.1038/nbt1323 · Cited by 849
Tumor-associated stromal cells as key contributors to the tumor microenvironment
Bussard, K. M., Mutkus, L., Stumpf, K., Gomez-Manzano, C., & Marini, F. C. (2016) · Breast Cancer Research · doi:10.1186/s13058-016-0740-2 · Cited by 746
Chronic DLL4 blockade induces vascular neoplasms
Yan, M., Callahan, C. A., Beyer, J. C., Allamneni, K. P., Zhang, G., Ridgway, J. B., Niessen, K., & Plowman, G. D. (2010) · Nature · doi:10.1038/nature08751 · Cited by 280
Kienast, Y., Klein, C., Scheuer, W., Raemsch, R., Lorenzon, E., Bernicke, D., Herting, F., Yu, S., The, H. H., Martarello, L., et al. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-0081 · Cited by 201
Cited by
Garcia, J., Hurwitz, H. I., Sandler, A. B., Miles, D., Coleman, R. L., Deurloo, R., & Chinot, O. L. (2020) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2020.102017 · Cited by 1,159
Tumor immunotherapies by immune checkpoint inhibitors (ICIs); the pros and cons
Naimi, A., Mohammed, R. N., Raji, A., Chupradit, S., Yumashev, A. V., Suksatan, W., Shalaby, M. N., Thangavelu, L., Kamrava, S., Shomali, N., et al. (2022) · Cell Communication and Signaling · doi:10.1186/s12964-022-00854-y · Cited by 507
El-Sawy, H. S., Al-Abd, A. M., Ahmed, T. A., El-Say, K. M., & Torchilin, V. P. (2018) · ACS Nano · doi:10.1021/acsnano.8b06104 · Cited by 431
Self-citationCancer combination therapies by angiogenesis inhibitors; a comprehensive review
Ansari, M. J., Bokov, D., Markov, A., Jalil, A. T., Shalaby, M. N., Suksatan, W., Chupradit, S., AL-Ghamdi, H. S., Shomali, N., Zamani, A., et al. (2022) · Cell Communication and Signaling · doi:10.1186/s12964-022-00838-y · Cited by 197
Recent updates on innovative approaches to overcome drug resistance for better outcomes in cancer
Sharma, M., Bakshi, A. K., Mittapelly, N., Gautam, S., Marwaha, D., Rai, N., Singh, N., Tiwari, P., Agarwal, N., Kumar, A., et al. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.04.007 · Cited by 84
Metadata
- Authors
- Al-Abd, A. M., Alamoudi, A. J., Abdel-Naim, A. B., Neamatallah, T. A., & Ashour, O. M.
- Venue
- Journal of Advanced Research
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 8
- Issue
- 6
- Pages
- 591-605
- ISSN
- 2090-1224 (ISSN-L)
- 2090-1232
- OpenAlex
- W2728245744
- Cited by
- 198
- References
- 12
- FWCI
- 7.38
- Type
- journal article
- Language
- en
- Open access
- gold
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: Anti-angiogenic agents for the treatment of solid tumors: Potential pathways, therapy and current strategies – A review. https://app.cochat.ai/papers/10.1016/j.jare.2017.06.006
- The paper
- Al-Abd, A. M., Alamoudi, A. J., Abdel-Naim, A. B., Neamatallah, T. A., & Ashour, O. M. (2017). Anti-angiogenic agents for the treatment of solid tumors: Potential pathways, therapy and current strategies – A review. Journal of Advanced Research. https://doi.org/10.1016/j.jare.2017.06.006
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.