1
|
Chen W, Zheng R, Zhang S, Zhao P, Zeng H
and Zou X: Report of cancer incidence and mortality in China, 2010.
Ann Transl Med. 2:61–85. 2014.PubMed/NCBI
|
2
|
Jordan SJ, Cushing-Haugen KL, Wicklund KG,
Doherty JA and Rossing MA: Breast-feeding and risk of epithelial
ovarian cancer. Cancer Causes Control. 23:919–927. 2012. View Article : Google Scholar : PubMed/NCBI
|
3
|
Zheng L, Song A, Ruan Y, Chen L, Liu D, Li
X, Guo H, Han J, Li Y, Tian X, et al: Genetic polymorphisms in
AURKA, BRCA1, CCNE1 and CDK2 are associated with ovarian cancer
susceptibility among Chinese Han women. Cancer Epidemiol.
37:639–646. 2013. View Article : Google Scholar : PubMed/NCBI
|
4
|
Steiner E, Klubert D and Knutson D:
Assessing breast cancer risk in women. Am Fam Physician.
78:1361–1366. 2008.PubMed/NCBI
|
5
|
Bodelon C, Wentzensen N, Schonfeld SJ,
Visvanathan K, Hartge P, Park Y and Pfeiffer RM: Hormonal risk
factors and invasive epithelial ovarian cancer risk by parity. Br J
Cancer. 109:769–776. 2013. View Article : Google Scholar : PubMed/NCBI
|
6
|
Scollen S, Luccarini C, Baynes C, Driver
K, Humphreys MK, Garcia-Closas M, Figueroa J, Lissowska J, Pharoah
PD, Easton DF, et al: TGF-β signaling pathway and breast cancer
susceptibility. Cancer Epidemiol Biomarkers Prev. 20:1112–1119.
2011. View Article : Google Scholar : PubMed/NCBI
|
7
|
Antoniou A, Pharoah PD, Narod S, Risch HA,
Eyfjord JE, Hopper JL, Loman N, Olsson H, Johannsson O, Borg A, et
al: Average risks of breast and ovarian cancer associated with
BRCA1 or BRCA2 mutations detected in case Series unselected for
family history: A combined analysis of 22 studies. Am J Hum Genet.
72:1117–1130. 2003. View
Article : Google Scholar : PubMed/NCBI
|
8
|
Antoniou AC and Easton DF: Models of
genetic susceptibility to breast cancer. Oncogene. 25:5898–5905.
2006. View Article : Google Scholar : PubMed/NCBI
|
9
|
Yoshida K and Miki Y: Role of BRCA1 and
BRCA2 as regulators of DNA repair, transcription, and cell cycle in
response to DNA damage. Cancer Sci. 95:866–871. 2004. View Article : Google Scholar : PubMed/NCBI
|
10
|
Rahdar M, Inoue T, Meyer T, Zhang J,
Vazquez F and Devreotes PN: A phosphorylation-dependent
intramolecular interaction regulates the membrane association and
activity of the tumor suppressor PTEN. Proc Natl Acad Sci USA.
106:480–485. 2009. View Article : Google Scholar : PubMed/NCBI
|
11
|
Vousden KH: p53: Death star. Cell.
103:691–694. 2000. View Article : Google Scholar : PubMed/NCBI
|
12
|
Hollestelle A, Wasielewski M, Martens JW
and Schutte M: Discovering moderate-risk breast cancer
susceptibility genes. Curr Opin Genet Dev. 20:268–276. 2010.
View Article : Google Scholar : PubMed/NCBI
|
13
|
Schork NJ, Murray SS, Frazer KA and Topol
EJ: Common vs. rare allele hypotheses for complex diseases. Curr
Opin Genet Dev. 19:212–219. 2009. View Article : Google Scholar : PubMed/NCBI
|
14
|
Liu CT and Lin H and Lin H: Functional
analysis of HapMap SNPs. Gene. 511:358–363. 2012. View Article : Google Scholar : PubMed/NCBI
|
15
|
Stram DO, Haiman CA, Hirschhorn JN,
Altshuler D, Kolonel LN, Henderson BE and Pike MC: Choosing
haplotype-tagging SNPS based on unphased genotype data using a
preliminary sample of unrelated subjects with an example from the
Multiethnic Cohort Study. Hum Hered. 55:27–36. 2003. View Article : Google Scholar : PubMed/NCBI
|
16
|
Li Y, Willer C, Sanna S and Abecasis G:
Genotype imputation. Annu Rev Genomics Hum Genet. 10:387–406. 2009.
View Article : Google Scholar : PubMed/NCBI
|
17
|
Nothnagel M, Ellinghaus D, Schreiber S,
Krawczak M and Franke A: A comprehensive evaluation of SNP genotype
imputation. Hum Genet. 125:163–171. 2009. View Article : Google Scholar : PubMed/NCBI
|
18
|
Clark AG: The role of haplotypes in
candidate gene studies. Genet Epidemiol. 27:321–333. 2004.
View Article : Google Scholar : PubMed/NCBI
|
19
|
Wang Y, Shi J, Chai K, Ying X and Zhou BP:
The role of snail in EMT and tumorigenesis. Curr Cancer Drug
Targets. 13:963–972. 2013. View Article : Google Scholar : PubMed/NCBI
|
20
|
Jin H, Yu Y, Zhang T, Zhou X, Zhou J, Jia
L, Wu Y, Zhou BP and Feng Y: Snail is critical for tumor growth and
metastasis of ovarian carcinoma. Int J Cancer. 126:2102–2111.
2010.PubMed/NCBI
|
21
|
Moody SE, Perez D, Pan TC, Sarkisian CJ,
Portocarrero CP, Sterner CJ, Notorfrancesco KL, Cardiff RD and
Chodosh LA: The transcriptional repressor Snail promotes mammary
tumor recurrence. Cancer Cell. 8:197–209. 2005. View Article : Google Scholar : PubMed/NCBI
|
22
|
Jiang X, Guo D, Li W, Yu T, Zhou J and
Gong J: Combination Twist1 and CA15-3 in axillary lymph nodes for
breast cancer prognosis. Mol Med Rep. 15:1123–1134. 2017.
View Article : Google Scholar : PubMed/NCBI
|
23
|
Terauchi M, Kajiyama H, Yamashita M, Kato
M, Tsukamoto H, Umezu T, Hosono S, Yamamoto E, Shibata K, Ino K, et
al: Possible involvement of TWIST in enhanced peritoneal metastasis
of epithelial ovarian carcinoma. Clin Exp Metastasis. 24:329–339.
2007. View Article : Google Scholar : PubMed/NCBI
|
24
|
Hosono S, Kajiyama H, Terauchi M, Shibata
K, Ino K, Nawa A and Kikkawa F: Expression of Twist increases the
risk for recurrence and for poor survival in epithelial ovarian
carcinoma patients. Br J Cancer. 96:314–320. 2007. View Article : Google Scholar : PubMed/NCBI
|
25
|
Matsusaka S, Zhang W, Cao S, Hanna DL,
Sunakawa Y, Sebio A, Ueno M, Yang D, Ning Y, Parekh A, et al:
TWIST1 polymorphisms predict survival in patients with metastatic
colorectal cancer receiving first-line bevacizumab plus
oxaliplatin-based chemotherapy. Mol Cancer Ther. 15:1405–1411.
2016. View Article : Google Scholar : PubMed/NCBI
|
26
|
Grimberg J, Nawoschik S, Belluscio L,
McKee R, Turck A and Eisenberg A: A simple and efficient
non-organic procedure for the isolation of genomic DNA from blood.
Nucleic Acids Res. 17:83901989. View Article : Google Scholar : PubMed/NCBI
|
27
|
Pikor LA, Enfield KSS, Cameron H and Lam
WL: DNA extraction from paraffin embedded material for genetic and
epigenetic analyses. J Vis Exp. 49:e27632011.
|
28
|
Barrett JC, Fry B, Maller J and Daly MJ:
Haploview: Analysis and visualization of LD and haplotype maps.
Bioinformatics. 21:263–265. 2005. View Article : Google Scholar : PubMed/NCBI
|
29
|
Lewis CM: Genetic association studies:
Design, analysis and interpretation. Brief Bioinform. 3:146–153.
2002. View Article : Google Scholar : PubMed/NCBI
|
30
|
He J, Wang F, Zhu J, Zhang R, Yang T, Zou
Y and Xia H: Association of potentially functional variants in the
XPG gene with neuroblastoma risk in a Chinese population. J Cell
Mol Med. 20:1481–1490. 2016. View Article : Google Scholar : PubMed/NCBI
|
31
|
Wacholder S, Chanock S, Garcia-Closas M,
El Ghormli L and Rothman N: Assessing the probability that a
positive report is false: An approach for molecular epidemiology
studies. J Natl Cancer Inst. 96:434–442. 2004. View Article : Google Scholar : PubMed/NCBI
|
32
|
Browning BL and Browning SR: A unified
approach to genotype imputation and haplotype-phase inference for
large data sets of trios and unrelated individuals. Am J Hum Genet.
84:210–223. 2009. View Article : Google Scholar : PubMed/NCBI
|
33
|
Liu L, Wu C, Wang Y, Zhong R, Wang F,
Zhang X, Duan S, Lou J, Yu D, Tan W, et al: Association of
candidate genetic variations with gastric cardia adenocarcinoma in
Chinese population: A multiple interaction analysis.
Carcinogenesis. 32:336–342. 2011. View Article : Google Scholar : PubMed/NCBI
|
34
|
Ghosh J, Pradhan S and Mittal B:
Multilocus analysis of hormonal, neurotransmitter, inflammatory
pathways and genome-wide associated variants in migraine
susceptibility. Eur J Neurol. 21:1011–1020. 2014. View Article : Google Scholar : PubMed/NCBI
|
35
|
Yang L, Wang YJ, Zheng LY, Jia YM, Chen
YL, Chen L, Liu DG, Li XH, Guo HY, Sun YL, et al: Genetic
polymorphisms of TGFB1, TGFBR1, SNAI1 and TWIST1 are associated
with endometrial cancer susceptibility in chinese Han women. PLoS
One. 11:e01552702016. View Article : Google Scholar : PubMed/NCBI
|
36
|
Lee PH and Shatkay H: F-SNP:
Computationally predicted functional SNPs for disease association
studies. Nucleic Acids Res. 36:D820–D824. 2008. View Article : Google Scholar : PubMed/NCBI
|
37
|
Landgraf P, Rusu M, Sheridan R, Sewer A,
Iovino N, Aravin A, Pfeffer S, Rice A, Kamphorst AO, Landthaler M,
et al: A mammalian microRNA expression atlas based on small RNA
library sequencing. Cell. 129:1401–1414. 2007. View Article : Google Scholar : PubMed/NCBI
|
38
|
Zhou Y, Huang Z, Wu S, Zang X, Liu M and
Shi J: miR-33a is up-regulated in chemoresistant osteosarcoma and
promotes osteosarcoma cell resistance to cisplatin by
down-regulating TWIST. J Exp Clin Cancer Res. 33:122014. View Article : Google Scholar : PubMed/NCBI
|
39
|
Dhasarathy A, Phadke D, Mav D, Shah RR and
Wade PA: The transcription factors Snail and Slug activate the
transforming growth factor-beta signaling pathway in breast cancer.
PLoS One. 6:e265142011. View Article : Google Scholar : PubMed/NCBI
|
40
|
Yang L, Yang X, Ji W, Deng J, Qiu F, Yang
R, Fang W, Zhang L, Huang D, Xie C, et al: Effects of a functional
variant c.353T>C in snai1 on risk of two contextual diseases.
Chronic obstructive pulmonary disease and lung cancer. Am J Respir
Crit Care Med. 189:139–148. 2014.PubMed/NCBI
|