ArticleBMC medicine2010
IGF-I induced genes in stromal fibroblasts predict the clinical outcome of breast and lung cancer patients.
Article in BMC medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 351 citations in OpenAlex.
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- Insulin-Like Growth Factor Signaling in Alzheimer's Disease: Pathophysiology and Therapeutic Strategies.Molecular neurobiology · 2025Review
- Role of Insulin-like Growth Factor-1 Receptor in Tobacco Smoking-Associated Lung Cancer Development.Biomedicines · 2024Review
- SNHG7 is a lncRNA oncogene controlled by Insulin-like Growth Factor signaling through a negative feedback loop to tightly regulate proliferation.Scientific reports · 2020Article
- Leptin stimulates IGF-1 transcription by activating AP-1 in human breast cancer cells.BMB reports · 2019Article
- The role of the insulin-like growth factor-1 system in breast cancer.Molecular cancer · 2015Review
- The role of cancer-associated fibroblasts, solid stress and other microenvironmental factors in tumor progression and therapy resistance.Cancer cell international · 2014Review
- Mechanotransduction and YAP-dependent matrix remodelling is required for the generation and maintenance of cancer-associated fibroblasts.Nature cell biology · 2013Article
- Estrogens need insulin-like growth factor I cooperation to exert their neuroprotective effects in post-menopausal women.Journal of endocrinological investigation · 2013Article
- Maternal BMI, IGF-I Levels, and Birth Weight in African American and White Infants.International journal of pediatrics · 2013Article
- Low ERK phosphorylation in cancer-associated fibroblasts is associated with tamoxifen resistance in pre-menopausal breast cancer.PloS one · 2012Article
- Targeting the insulin-like growth factor receptor: developing biomarkers from gene expression profiling.Critical reviews in oncogenesis · 2012Review
- Global gene expression analysis of the interaction between cancer cells and osteoblasts to predict bone metastasis in breast cancer.PloS one · 2012Article
- Comparison of radioimmuno and carbon nanotube field-effect transistor assays for measuring insulin-like growth factor-1 in a preclinical model of human breast cancer.Journal of nanobiotechnology · 2011Article
- Ordered subset analysis identifies loci influencing lung cancer risk on chromosomes 6q and 12q.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2010Article
- Basic and clinical significance of IGF-I-induced signatures in cancer.BMC medicine · 2010Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInsulin-like growth factor-1 (IGF-I) signalling is important for cancer initiation and progression. Given the emerging evidence for the role of the stroma in these processes, we aimed to characterize the effects of IGF-I on cancer cells and stromal cells separately.
methodsWe used an ex vivo culture model and measured gene expression changes after IGF-I stimulation with cDNA microarrays. In vitro data were correlated with in vivo findings by comparing the results with published expression datasets on human cancer biopsies.
resultsUpon stimulation with IGF-I, breast cancer cells and stromal fibroblasts show some common and other distinct response patterns. Among the up-regulated genes in the stromal fibroblasts we observed a significant enrichment in proliferation associated genes. The expression of the IGF-I induced genes was coherent and it provided a basis for the segregation of the patients into two groups. Patients with tumours with highly expressed IGF-I induced genes had a significantly lower survival rate than patients whose tumours showed lower levels of IGF-I induced gene expression (P = 0.029 - Norway/Stanford and P = 7.96e-09 - NKI dataset). Furthermore, based on an IGF-I induced gene expression signature derived from primary lung fibroblasts, a separation of prognostically different lung cancers was possible (P = 0.007 - Bhattacharjee and P = 0.008 - Garber dataset).
conclusionExpression patterns of genes induced by IGF-I in primary breast and lung fibroblasts accurately predict outcomes in breast and lung cancer patients. Furthermore, these IGF-I induced gene signatures derived from stromal fibroblasts might be promising predictors for the response to IGF-I targeted therapies. See the related commentary by Werner and Bruchim: http://www.biomedcentral.com/1741-7015/8/2.
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