The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Glycosylation-Dependent Lectin-Receptor Interactions Preserve Angiogenesis in Anti-VEGF Refractory Tumors
Open accessOverview
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
Molecular mechanisms and clinical applications of angiogenesis
Carmeliet, P., & Jain, R. K. (2011) · Nature · doi:10.1038/nature10144 · Cited by 5,467
VEGF receptor signalling ? in control of vascular function
Olsson, A.-K., Dimberg, A., Kreuger, J., & Claesson-Welsh, L. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1911 · Cited by 3,122
Modes of resistance to anti-angiogenic therapy
Bergers, G., & Hanahan, D. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2442 · Cited by 2,953 · cited 10×
“Stimulation of ECs with FGF2 or a combination of IL-10 and TGF-b1 led to reduction of SNA-reactive glyco-epitopes, as compared to resting, IL-17- or IFN-g-treated ECs (Figures 1B and 1C), suggesting that pro- or anti-inflammatory signals may either mask or unmask Gal1-specific binding sites.”
InfluentialVEGF-targeted therapy: mechanisms of anti-tumour activity
Ellis, L. M., & Hicklin, D. J. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2403 · Cited by 1,673
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
Toscano, M. A., Bianco, G. A., Ilarregui, J. M., Croci, D. O., Correale, J., Hernandez, J. D., Zwirner, N. W., Poirier, F., Riley, E. M., Baum, L. G., et al. (2007) · Nature Immunology · doi:10.1038/ni1482 · Cited by 653
Self-citationSuppression of tumor growth and metastasis in Mgat5-deficient mice
Granovsky, M., Fata, J., Pawling, J., Muller, W. J., Khokha, R., & Dennis, J. W. (2000) · Nature Medicine · doi:10.1038/73163 · Cited by 569
Metabolism, Cell Surface Organization, and Disease
Dennis, J. W., Nabi, I. R., & Demetriou, M. (2009) · Cell · doi:10.1016/j.cell.2009.12.008 · Cited by 450
An interleukin-17-mediated paracrine network promotes tumor resistance to anti-angiogenic therapy
Chung, A. S., Wu, X., Zhuang, G., Ngu, H., Kasman, I., Zhang, J., Vernes, J.-M., Jiang, Z., Meng, Y. G., Peale, F. V., et al. (2013) · Nature Medicine · doi:10.1038/nm.3291 · Cited by 445
Song, Y., Aglipay, J. A., Bernstein, J. D., Goswami, S., & Stanley, P. (2010) · Cancer Research · doi:10.1158/0008-5472.can-09-2719 · Cited by 104
Cited by
Glycosylation in cancer: mechanisms and clinical implications
Pinho, S. S., & Reis, C. A. (2015) · Nature Reviews Cancer · doi:10.1038/nrc3982 · Cited by 3,083
Protein Glycosylation in Cancer
Stowell, S. R., Ju, T., & Cummings, R. D. (2015) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-012414-040438 · Cited by 873
Synergistic effect of immune checkpoint blockade and anti-angiogenesis in cancer treatment
Yi, M., Jiao, D., Qin, S., Chu, Q., Wu, K., & Li, A. (2019) · Molecular Cancer · doi:10.1186/s12943-019-0974-6 · Cited by 608
Hallmarks of glycosylation in cancer
Munkley, J., & Elliott, D. J. (2016) · Oncotarget · doi:10.18632/oncotarget.8155 · Cited by 521
Protein Glycosylation and Tumor Microenvironment Alterations Driving Cancer Hallmarks
Peixoto, A., Relvas-Santos, M., Azevedo, R., Santos, L. L., & Ferreira, J. A. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.00380 · Cited by 334
Metadata
- Authors
- Croci, D. O., Cerliani, J. P., Dalotto-Moreno, T., Méndez-Huergo, S. P., Mascanfroni, I. D., Dergan-Dylon, S., Toscano, M. A., Caramelo, J. J., García-Vallejo, J. J., Ouyang, J., Mesri, E. A., Junttila, M. R., Bais, C., Shipp, M. A., Salatino, M., & Rabinovich, G. A.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 156
- Issue
- 4
- Pages
- 744-758
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2134443544
- Cited by
- 505
- References
- 10
- FWCI
- 22.02
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Glycosylation-Dependent Lectin-Receptor Interactions Preserve Angiogenesis in Anti-VEGF Refractory Tumors. https://app.cochat.ai/papers/10.1016/j.cell.2014.01.043
- The paper
- Croci, D. O., Cerliani, J. P., Dalotto-Moreno, T., Méndez-Huergo, S. P., Mascanfroni, I. D., Dergan-Dylon, S., Toscano, M. A., Caramelo, J. J., García-Vallejo, J. J., Ouyang, J., Mesri, E. A., Junttila, M. R., Bais, C., Shipp, M. A., Salatino, M., & Rabinovich, G. A. (2014). Glycosylation-Dependent Lectin-Receptor Interactions Preserve Angiogenesis in Anti-VEGF Refractory Tumors. Cell. https://doi.org/10.1016/j.cell.2014.01.043
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.
