Literature DB >> 23912956

Associations with growth factor genes (FGF1, FGF2, PDGFB, FGFR2, NRG2, EGF, ERBB2) with breast cancer risk and survival: the Breast Cancer Health Disparities Study.

Martha L Slattery1, Esther M John, Mariana C Stern, Jennifer Herrick, Abbie Lundgreen, Anna R Giuliano, Lisa Hines, Kathy B Baumgartner, Gabriela Torres-Mejia, Roger K Wolff.   

Abstract

Growth factors (GF) stimulate cell proliferation through binding to cell membrane receptors and are thought to be involved in cancer risk and survival. We examined how genetic variation in epidermal growth factor (EGF), neuregulin 2 (NRG2), ERBB2 (HER2/neu), fibroblast growth factors 1 and 2 (FGF1 and FGF2) and its receptor 2 (FGFR2), and platelet-derived growth factor B (PDGFB) independently and collectively influence breast cancer risk and survival. We analyzed data from the Breast Cancer Health Disparities Study which includes Hispanic (2,111 cases, 2,597 controls) and non-Hispanic white (1,481 cases, 1,586 controls) women. Adaptive rank-truncated product (ARTP) analysis was conducted to determine gene significance. Odds ratios (OR) and 95 % confidence intervals were obtained from conditional logistic regression models to estimate breast cancer risk and Cox proportional hazard models were used to estimate hazard ratios (HR) of dying from breast cancer. We assessed Native American (NA) ancestry using 104 ancestry informative markers. We observed few significant associations with breast cancer risk overall or by menopausal status other than for FGFR2 rs2981582. This SNP was significantly associated with ER+/PR+ (OR 1.66, 95 % CI 1.37-2.00) and ER+/PR- (OR 1.54, 95 % CI 1.03-2.31) tumors. Multiple SNPs in FGF1, FGF2, and NRG2 significantly interacted with multiple SNPs in EGFR, ERBB2, FGFR2, and PDGFB, suggesting that breast cancer risk is dependent on the collective effects of genetic variants in other GFs. Both FGF1 and ERBB2 significantly influenced overall survival, especially among women with low levels of NA ancestry (P ARTP = 0.007 and 0.003, respectively). Our findings suggest that genetic variants in growth factors signaling appear to influence breast cancer risk through their combined effects. Genetic variation in ERBB2 and FGF1 appear to be associated with survival after diagnosis with breast cancer.

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Year:  2013        PMID: 23912956      PMCID: PMC3860319          DOI: 10.1007/s10549-013-2644-5

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  32 in total

1.  Inference of population structure using multilocus genotype data.

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Review 2.  EGFR family signaling and its association with breast cancer development and resistance to chemotherapy (Review).

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Journal:  Int J Oncol       Date:  2003-02       Impact factor: 5.650

3.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

Review 4.  Growth factors and cancer.

Authors:  A S Goustin; E B Leof; G D Shipley; H L Moses
Journal:  Cancer Res       Date:  1986-03       Impact factor: 12.701

5.  Aspirin and other nonsteroidal anti-inflammatory drugs and breast cancer incidence in a large U.S. cohort.

Authors:  Eric J Jacobs; Michael J Thun; Cari J Connell; Carmen Rodriguez; S Jane Henley; Heather S Feigelson; Alpa V Patel; W Dana Flanders; Eugenia E Calle
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-01       Impact factor: 4.254

6.  Genetic variants of fibroblast growth factor receptor 2 (FGFR2) are associated with breast cancer risk in Chinese women of the Han nationality.

Authors:  Fan Chen; Min Lu; Min Lv; Yun Xue; Jing Zhou; Feifei Hu; Xin Chen; Zhanqin Zhao; Yang Li; XingGuo Wang
Journal:  Immunogenetics       Date:  2011-08-06       Impact factor: 2.846

7.  Genetic variation in VEGF family genes and breast cancer risk: a report from the Shanghai Breast Cancer Genetics Study.

Authors:  Alicia Beeghly-Fadiel; Xiao-Ou Shu; Wei Lu; Jirong Long; Qiuyin Cai; Yong-Bing Xiang; Ying Zheng; Zhongming Zhao; Kai Gu; Yu-Tang Gao; Wei Zheng
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-11-30       Impact factor: 4.254

8.  Prognostic significance of TGF-beta 1 and TGF-beta 2 expressions in female breast cancer.

Authors:  P Auvinen; P Lipponen; R Johansson; K Syrjänen
Journal:  Anticancer Res       Date:  1995 Nov-Dec       Impact factor: 2.480

9.  Strong EGFR signaling in cell line models of ERBB2-amplified breast cancer attenuates response towards ERBB2-targeting drugs.

Authors:  F Henjes; C Bender; S von der Heyde; L Braun; H A Mannsperger; C Schmidt; S Wiemann; M Hasmann; S Aulmann; T Beissbarth; U Korf
Journal:  Oncogenesis       Date:  2012-07-02       Impact factor: 7.485

10.  TGF-beta1 genotype and phenotype in breast cancer and their associations with IGFs and patient survival.

Authors:  L Mu; D Katsaros; L Lu; M Preti; A Durando; R Arisio; H Yu
Journal:  Br J Cancer       Date:  2008-09-30       Impact factor: 7.640

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  35 in total

1.  Development of covalent inhibitors that can overcome resistance to first-generation FGFR kinase inhibitors.

Authors:  Li Tan; Jun Wang; Junko Tanizaki; Zhifeng Huang; Amir R Aref; Maria Rusan; Su-Jie Zhu; Yiyun Zhang; Dalia Ercan; Rachel G Liao; Marzia Capelletti; Wenjun Zhou; Wooyoung Hur; NamDoo Kim; Taebo Sim; Suzanne Gaudet; David A Barbie; Jing-Ruey Joanna Yeh; Cai-Hong Yun; Peter S Hammerman; Moosa Mohammadi; Pasi A Jänne; Nathanael S Gray
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-27       Impact factor: 11.205

2.  A role for FGF2 in visceral adiposity-associated mammary epithelial transformation.

Authors:  Vanessa Benham; Debrup Chakraborty; Blair Bullard; Jamie J Bernard
Journal:  Adipocyte       Date:  2018-03-21       Impact factor: 4.534

3.  Genomic Disparities in Breast Cancer Among Latinas.

Authors:  Filipa Lynce; Kristi D Graves; Lina Jandorf; Charite Ricker; Eida Castro; Laura Moreno; Bianca Augusto; Laura Fejerman; Susan T Vadaparampil
Journal:  Cancer Control       Date:  2016-10       Impact factor: 3.302

4.  Expression of signal transducer and activator of transcription 3 and its phosphorylated form is significantly upregulated in patients with papillary thyroid cancer.

Authors:  L I Yan; L I Li; Qinghuai Li; Wang DI; Wei Shen; Linlei Zhang; Hao Guo
Journal:  Exp Ther Med       Date:  2015-04-07       Impact factor: 2.447

Review 5.  Epidermal growth factor signaling in transformed cells.

Authors:  Stephan Lindsey; Sigrid A Langhans
Journal:  Int Rev Cell Mol Biol       Date:  2014-11-18       Impact factor: 6.813

Review 6.  Breast cancer epidemic in the early twenty-first century: evaluation of risk factors, cumulative questionnaires and recommendations for preventive measures.

Authors:  Olga Golubnitschaja; Manuel Debald; Kristina Yeghiazaryan; Walther Kuhn; Martin Pešta; Vincenzo Costigliola; Godfrey Grech
Journal:  Tumour Biol       Date:  2016-07-22

7.  Gene-based analysis of the fibroblast growth factor receptor signaling pathway in relation to breast cancer in African American women: the AMBER consortium.

Authors:  Edward A Ruiz-Narváez; Stephen A Haddad; Kathryn L Lunetta; Song Yao; Jeannette T Bensen; Lara E Sucheston-Campbell; Chi-Chen Hong; Christopher A Haiman; Andrew F Olshan; Christine B Ambrosone; Julie R Palmer
Journal:  Breast Cancer Res Treat       Date:  2016-01-07       Impact factor: 4.872

8.  Breast Cancer Health Disparities in Hispanics/Latinas.

Authors:  Silvia J Serrano-Gomez; Maria Carolina Sanabria-Salas; Laura Fejerman
Journal:  Curr Breast Cancer Rep       Date:  2020-05-28

9.  NRG1 Genetic Variant Influences the Efficacy of Androgen-Deprivation Therapy in Men with Prostate Cancer.

Authors:  Shu-Pin Huang; Yei-Tsung Chen; Lih-Chyang Chen; Cheng-Hsueh Lee; Chao-Yuan Huang; Chia-Cheng Yu; Victor C Lin; Te-Ling Lu; Bo-Ying Bao
Journal:  Biomedicines       Date:  2021-05-10

Review 10.  Fibroblast Growth Factor Receptors (FGFRs) and Noncanonical Partners in Cancer Signaling.

Authors:  Harriet R Ferguson; Michael P Smith; Chiara Francavilla
Journal:  Cells       Date:  2021-05-14       Impact factor: 6.600

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