scholarly journals Systematic review of insulin-like growth factor 1 gene expression in women with breast cancer

2021 ◽  
Vol 67 (9) ◽  
pp. 1372-1376
Author(s):  
Danylo Rafhael Costa-Silva ◽  
Maria da Conceição Barros-Oliveira ◽  
Benedito Borges da Silva
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Systematic Review ◽  
Growth Factor ◽  
Insulin Like Growth Factor

scholarly journals Influence of Insulin-Like Growth Factor 1 Gene Expression in Women with Breast Cancer: A Systematic Review

2020 ◽  
Author(s):  
Danylo Rafhael Costa-Silva ◽  
Francisco Adelton Alves-Ribeiro ◽  
Maria da Conceição Barros-Oliveira ◽  
Larysse Cardoso Campos-Verdes ◽  
Renato de Oliveira Pereira ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Systematic Review ◽  
Growth Factor ◽  
Expression Patterns ◽  
Insulin Like Growth Factor ◽  
Expression Levels ◽  
Cancer Support ◽  
Increased Risk ◽  
Gene Expression Levels

Abstract Background: Breast cancer, the leading cause of cancer death among women worldwide, one of the major risk factors for breast cancer is genetic changes. Changes in the expression levels of the insulin-like growth factor 1 (IGF-1) gene have been associated with increased risk and aggressiveness of breast cancer. The IGF-1 gene encodes the IGF-1 peptide that is present in most human tissues, as in the normal and neoplastic mammary gland. Here, we conducted a systematic review to investigate the influence of IGF-1 gene expression levels in women with breast cancer.Methods: PubMed, Scopus, and Web of Science databases were searched for relevant studies published between February 2 and May 15, 2019, using inclusion and exclusion criteria in accordance with PRISMA guidelines. We analyzed the studies to find association between IGF-1gene expression and breast cancer.Results: A growing number of studies in women with breast cancer support, with controversial results, the influence of IGF-1 gene expression levels on clinical-pathological factors, disease-free survival, overall survival, and resistance to tamoxifen.Conclusions: Therefore, the elucidation of IGF-1 gene expression patterns through further studies may enable the characterization of women at high risk for breast cancer, as well as the development of effective prognostic and therapeutic strategies.

scholarly journals Influence of Insulin-Like Growth Factor 1 Gene Expression in Women with Breast Cancer: A Systematic Review

2020 ◽  
Author(s):  
Danylo Rafhael Costa-Silva ◽  
Maria da Conceição Barros-Oliveira ◽  
Larysse Cardoso Campos-Verdes ◽  
Renato de Oliveira Pereira ◽  
Cleciton Braga Tavares ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Systematic Review ◽  
Growth Factor ◽  
Expression Patterns ◽  
Insulin Like Growth Factor ◽  
Expression Levels ◽  
Cancer Support ◽  
Increased Risk ◽  
Gene Expression Levels

Abstract Background: Breast cancer, the leading cause of cancer death among women worldwide, one of the major risk factors for breast cancer is genetic changes. Changes in the expression levels of the insulin-like growth factor 1 (IGF-1) gene have been associated with increased risk and aggressiveness of breast cancer. The IGF-1 gene encodes the IGF-1 peptide that is present in most human tissues, as in the normal and neoplastic mammary gland. Here, we conducted a systematic review to investigate the influence of IGF-1 gene expression levels in women with breast cancer.Methods: PubMed, Scopus, and Web of Science databases were searched for relevant studies published between February 2 and May 15, 2019, using inclusion and exclusion criteria in accordance with PRISMA guidelines. We analyzed the studies to find association between IGF-1gene expression and breast cancer.Results: A growing number of studies in women with breast cancer support, with controversial results, the influence of IGF-1 gene expression levels on clinical-pathological factors, disease-free survival, overall survival, and resistance to tamoxifen.Conclusions: Therefore, the elucidation of IGF-1 gene expression patterns through further studies may enable the characterization of women at high risk for breast cancer, as well as the development of effective prognostic and therapeutic strategies.

scholarly journals Analysis of Insulin-Like Growth Factor I Gene Expression in Malignancy: Evidence for a Paracrine Role in Human Breast Cancer

1989 ◽  
Vol 3 (3) ◽  
pp. 509-517 ◽  
Author(s):  
Douglas Yee ◽  
Soonmyoung Paik ◽  
Gail S. Lebovic ◽  
Rachel R. Marcus ◽  
Roberto E. Favoni ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Growth Factor ◽  
Human Breast Cancer ◽  
Insulin Like Growth Factor ◽  
Human Breast ◽  
Factor I ◽  
Growth Factor I ◽  
I Gene

scholarly journals Insulin-Like Growth Factor-I Activates Gene Transcription Programs Strongly Associated With Poor Breast Cancer Prognosis

2008 ◽  
Vol 26 (25) ◽  
pp. 4078-4085 ◽  
Author(s):  
Chad J. Creighton ◽  
Angelo Casa ◽  
ZaWaunyka Lazard ◽  
Shixia Huang ◽  
Anna Tsimelzon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Growth Factor ◽  
Breast Tumors ◽  
Gene Signature ◽  
Insulin Like Growth Factor ◽  
Human Breast ◽  
Factor I ◽  
Igf I ◽  
Clinical Breast

Purpose Substantial evidence implicates insulin-like growth factor-I (IGF-I) signaling in the development and progression of breast cancer. To more clearly elucidate the role of IGF in human breast cancer, we identified and then examined gene expression patterns of IGF-I–treated breast cancer cells. Methods MCF-7 cells were stimulated with IGF-I for 3 or 24 hours and were profiled for greater than 22,000 RNA transcripts. We defined an IGF-I signature pattern of more than 800 genes that were up- or downregulated at both time points. The gene signature was examined in clinical breast tumors and in experimental models that represented other oncogenic pathways. The signature was correlated with clinical and pathologic variables and with patient outcome. Results IGF-I caused temporal changes in gene expression that were strongly associated with cell proliferation, metabolism, and DNA repair. Genes with early and sustained regulation by IGF-I were highly enriched for transcriptional targets of the estrogen receptor (ER), Ras/extracellular signal-related kinase 1/2, and phosphatidylinositol 3-kinase/Akt/mammalian target of rapamycin pathways. In three large, independent data sets of profiled human breast tumors, the IGF-I signature was manifested in the majority of ER-negative breast tumors and in a subset (approximately 25%) of ER-positive breast tumors. Patients who had tumors that manifested the IGF-I signature (including patients who did not receive adjuvant therapy) had a shorter time to a poor outcome event. The IGF gene signature was highly correlated with numerous poor prognostic factors and was one of the strongest indicators of disease outcome. Conclusion Transcriptional targets of IGF-I represent pathways of increased aggressiveness and possibly hormone independence in clinical breast cancers.

Gene Modules and Response to Neoadjuvant Chemotherapy in Breast Cancer Subtypes: A Pooled Analysis

2012 ◽  
Vol 30 (16) ◽  
pp. 1996-2004 ◽  
Author(s):  
Michail Ignatiadis ◽  
Sandeep K. Singhal ◽  
Christine Desmedt ◽  
Benjamin Haibe-Kains ◽  
Carmen Criscitiello ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Growth Factor ◽  
Neoadjuvant Chemotherapy ◽  
Predictive Accuracy ◽  
Insulin Like Growth Factor ◽  
Her2 Positive ◽  
Clinicopathologic Characteristics ◽  
Er Positive ◽  
Gene Modules

Purpose To investigate the association between chemotherapy response and gene expression modules describing important biologic processes and druggable oncogenic pathways in breast cancer (BC) subtypes. Patients and Methods We searched for publicly available gene expression studies evaluating anthracycline with or without taxane-based neoadjuvant chemotherapy and identified eight studies with 996 patients. We computed 17 gene modules and calculated odds ratios (ORs) for pathologic complete response (pCR) for one-unit increases in scaled modules with and without adjustment for clinicopathologic characteristics. Added predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUC) and integrated discrimination index (IDI). We used the false discovery rate (FDR) to adjust for multiple testing. Results High immune module scores were associated with increased pCR probability in all BC subtypes. High module scores of chromosomal instability, phosphatase and tensin homolog (PTEN) loss, and E2F3 transcription factor were associated with increased pCR probability in estrogen receptor (ER) –negative/human epidermal growth factor receptor 2 (HER2) –negative and ER-positive/HER2-negative but not in HER2-positive tumors (interactions between HER2 and each of these modules for their association with pCR: P < .05; FDR, 0.17; trend for interaction between HER2 and PTEN). High values of insulin-like growth factor 1 activation module were associated with increased pCR probability only in ER-positive/HER2-negative tumors (interaction between insulin-like growth factor 1 and ER: P = .002; FDR, 0.03). When adding the immune module to clinicopathologic characteristics, we observed substantial increases in predictive accuracy for pCR in the HER2-positive subtype (IDI, 0.093; P = .004; increase in AUC from 0.760 to 0.836). Conclusion Different processes and pathways are associated with pCR in different BC subtypes.

scholarly journals The insulin-like growth factor system is modulated by exercise in breast cancer survivors: a systematic review and meta-analysis

BMC Cancer ◽  
2016 ◽  
Vol 16 (1) ◽  
Author(s):  
José Francisco Meneses-Echávez ◽  
Emilio González Jiménez ◽  
Jacqueline Schmidt Río-Valle ◽  
Jorge Enrique Correa-Bautista ◽  
Mikel Izquierdo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Growth Factor ◽  
Cancer Survivors ◽  
Breast Cancer Survivors ◽  
Meta Analysis ◽  
Insulin Like Growth Factor ◽  
Factor System
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