The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Role of the IGF System in Cancer Growth and Metastasis: Overview and Recent Insights
Abstract
IGF-I receptor (IGF-IR) signaling and functions are mediated through the activities of a complex molecular network of positive (e.g., type I IGF) and negative (e.g., the type II IGF receptor, IGF-IIR) effectors. Under normal physiological conditions, the balance between the expression and activities of these molecules is tightly controlled. Changes in this delicate balance (e.g., overexpression of one effector) may trigger a cascade of molecular events that can ultimately lead to malignancy. In recent years, evidence has been mounting that the IGF axis may be involved in human cancer progression and can be targeted for therapeutic intervention. Here we review old and more recent evidence on the role the IGF system in malignancy and highlight experimental and clinical studies that provide novel insights into the complex mechanisms that contribute to its oncogenic potential. Controversies arising from conflicting evidence on the relevance of IGF-IR and its ligands to human cancer are discussed. Our review highlights the importance of viewing the IGF axis as a complex multifactorial system and shows that changes in the expression levels of any one component of the axis, in a given malignancy, should be interpreted with caution and viewed in a wider context that takes into account the expression levels, state of activation, accessibility, and functionality of other interacting components. Because IGF targeting for anticancer therapy is rapidly becoming a clinical reality, an understanding of this complexity is timely because it is likely to have an impact on the design, mode of action, and clinical outcomes of newly developed drugs.
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
Protein modules and signalling networks
Pawson, T. (1995) · Nature · doi:10.1038/373573a0 · Cited by 2,420
Glycogen synthase kinase-3β regulates cyclin D1 proteolysis and subcellular localization
Diehl, J. A., Cheng, M., Roussel, M. F., & Sherr, C. J. (1998) · Genes & Development · doi:10.1101/gad.12.22.3499 · Cited by 2,130
Metastatic patterns of prostate cancer: an autopsy study of 1,589 patients
Bubendorf, L., Schöpfer, A., Wagner, U., Sauter, G., Moch, H., Willi, N., Gasser, T. C., & Mihatsch, M. J. (2000) · Human Pathology · doi:10.1053/hp.2000.6698 · Cited by 1,895
Cited by
Insulin and insulin-like growth factor signalling in neoplasia
Pollak, M. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2536 · Cited by 2,059
Angiogenic signaling pathways and anti-angiogenic therapy for cancer
Liu, Z.-L., Chen, H.-H., Zheng, L.-L., Sun, L.-P., & Shi, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01460-1 · Cited by 1,300
The influence of glucose-lowering therapies on cancer risk in type 2 diabetes
Currie, C. J., Poole, C. D., & Gale, E. A. M. (2009) · Diabetologia · doi:10.1007/s00125-009-1440-6 · Cited by 1,124
Else, T., Kim, A. C., Sabolch, A., Raymond, V. M., Kandathil, A., Caoili, E. M., Jolly, S., Miller, B. S., Giordano, T. J., & Hammer, G. D. (2014) · Endocrine Reviews · doi:10.1210/er.2013-1029 · Cited by 892
ROS signaling under metabolic stress: cross-talk between AMPK and AKT pathway
Zhao, Y., Hu, X., Liu, Y., Dong, S., Wen, Z., He, W., Zhang, S., Huang, Q., & Shi, M. (2017) · Molecular Cancer · doi:10.1186/s12943-017-0648-1 · Cited by 735
Metadata
- Authors
- Samani, A. A., Yakar, S., LeRoith, D., & Brodt, P.
- Venue
- Endocrine Reviews
- Publisher
- The Endocrine Society
- Published
- 2007-02-01
- Volume
- 28
- Issue
- 1
- Pages
- 20-47
- ISSN
- 0163-769X (ISSN-L)
- 1945-7189
- OpenAlex
- W2051839343
- Cited by
- 1,005
- References
- 3
- FWCI
- 54.99
- Type
- journal article
- Language
- en
- Open access
- closed
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: The Role of the IGF System in Cancer Growth and Metastasis: Overview and Recent Insights. https://app.cochat.ai/papers/10.1210/er.2006-0001
- The paper
- Samani, A. A., Yakar, S., LeRoith, D., & Brodt, P. (2007). The Role of the IGF System in Cancer Growth and Metastasis: Overview and Recent Insights. Endocrine Reviews. https://doi.org/10.1210/er.2006-0001
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.