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Items: 1 to 20 of 97

1.

SNP mutation-related genes in breast cancer for monitoring and prognosis of patients: A study based on the TCGA database.

Gao C, Zhuang J, Zhou C, Li H, Liu C, Liu L, Feng F, Liu R, Sun C.

Cancer Med. 2019 Mar 18. doi: 10.1002/cam4.2065. [Epub ahead of print]

2.

The genetic variants in the PTEN/PI3K/AKT pathway predict susceptibility and CE(A)F chemotherapy response to breast cancer and clinical outcomes.

Li X, Zhang R, Liu Z, Li S, Xu H.

Oncotarget. 2017 Mar 21;8(12):20252-20265. doi: 10.18632/oncotarget.15690.

3.

Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics.

Li CY, Xiong DD, Huang CQ, He RQ, Liang HW, Pan DH, Wang HL, Wang YW, Zhu HW, Chen G.

Med Sci Monit. 2017 Apr 18;23:1857-1871.

4.
5.

Functional SNP in stem of mir-146a affects Her2 status and breast cancer survival.

Meshkat M, Tanha HM, Naeini MM, Ghaedi K, Sanati MH, Meshkat M, Bagheri F.

Cancer Biomark. 2016 Jul 8;17(2):213-22. doi: 10.3233/CBM-160633.

PMID:
27434289
6.

Correlation between activation of PI3K/AKT/mTOR pathway and prognosis of breast cancer in Chinese women.

Deng L, Chen J, Zhong XR, Luo T, Wang YP, Huang HF, Yin LJ, Qiu Y, Bu H, Lv Q, Zheng H.

PLoS One. 2015 Mar 27;10(3):e0120511. doi: 10.1371/journal.pone.0120511. eCollection 2015.

7.

A novel deleterious PTEN mutation in a patient with early-onset bilateral breast cancer.

Pradella LM, Evangelisti C, Ligorio C, Ceccarelli C, Neri I, Zuntini R, Amato LB, Ferrari S, Martelli AM, Gasparre G, Turchetti D.

BMC Cancer. 2014 Feb 6;14:70. doi: 10.1186/1471-2407-14-70.

8.

MicroRNA-1297 contributes to tumor growth of human breast cancer by targeting PTEN/PI3K/AKT signaling.

Liu C, Liu Z, Li X, Tang X, He J, Lu S.

Oncol Rep. 2017 Oct;38(4):2435-2443. doi: 10.3892/or.2017.5884. Epub 2017 Aug 7.

PMID:
28791363
9.

Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.

Fang E, Zhang X.

Cancer Biomark. 2017 Dec 12;21(1):373-381. doi: 10.3233/CBM-170550.

PMID:
29081411
10.

Upregulated miR‑203a‑3p and its potential molecular mechanism in breast cancer: A study based on bioinformatics analyses and a comprehensive meta‑analysis.

Cai KT, Feng CX, Zhao JC, He RQ, Ma J, Zhong JC.

Mol Med Rep. 2018 Dec;18(6):4994-5008. doi: 10.3892/mmr.2018.9543. Epub 2018 Oct 10.

11.

A GG allele of 3'-side AKT1 SNP is associated with decreased AKT1 activation and better prognosis of gastric cancer.

Wang X, Lin Y, Lan F, Yu Y, Ouyang X, Wang X, Huang Q, Wang L, Tan J, Zheng F.

J Cancer Res Clin Oncol. 2014 Aug;140(8):1399-411. doi: 10.1007/s00432-014-1663-x. Epub 2014 Apr 16.

PMID:
24737346
12.

Next generation sequencing profiling identifies miR-574-3p and miR-660-5p as potential novel prognostic markers for breast cancer.

Krishnan P, Ghosh S, Wang B, Li D, Narasimhan A, Berendt R, Graham K, Mackey JR, Kovalchuk O, Damaraju S.

BMC Genomics. 2015 Sep 29;16:735. doi: 10.1186/s12864-015-1899-0.

13.

Identification of hub miRNA biomarkers for bladder cancer by weighted gene coexpression network analysis.

Zhao F, Ge YZ, Zhou LH, Xu LW, Xu Z, Ping WW, Wang M, Zhou CC, Wu R, Jia RP.

Onco Targets Ther. 2017 Nov 22;10:5551-5559. doi: 10.2147/OTT.S146479. eCollection 2017.

14.

Network Meta-Analysis on the Effects of DNA Damage Response-Related Gene Mutations on Overall Survival of Breast Cancer Based on TCGA Database.

Liu C, Chang H, Li XH, Qi YF, Wang JO, Zhang Y, Yang XH.

J Cell Biochem. 2017 Dec;118(12):4728-4734. doi: 10.1002/jcb.26140. Epub 2017 Jun 22.

PMID:
28513990
15.

GATA3 and TRPS1 are distinct biomarkers and prognostic factors in breast cancer: database mining for GATA family members in malignancies.

Lin HY, Zeng, Liang YK, Wei XL, Chen CF.

Oncotarget. 2017 May 23;8(21):34750-34761. doi: 10.18632/oncotarget.16160.

16.

Significant association between ERCC2 and MTHR polymorphisms and breast cancer susceptibility in Moroccan population: genotype and haplotype analysis in a case-control study.

Hardi H, Melki R, Boughaleb Z, El Harroudi T, Aissaoui S, Boukhatem N.

BMC Cancer. 2018 Mar 15;18(1):292. doi: 10.1186/s12885-018-4214-z.

17.

CDH1/E-cadherin and solid tumors. An updated gene-disease association analysis using bioinformatics tools.

Abascal MF, Besso MJ, Rosso M, Mencucci MV, Aparicio E, Szapiro G, Furlong LI, Vazquez-Levin MH.

Comput Biol Chem. 2016 Feb;60:9-20. doi: 10.1016/j.compbiolchem.2015.10.002. Epub 2015 Nov 7.

PMID:
26674224
18.

A comprehensive immunohistochemical and molecular approach to the PI3K/AKT/mTOR (phosphoinositide 3-kinase/v-akt murine thymoma viral oncogene/mammalian target of rapamycin) pathway in bladder urothelial carcinoma.

Korkolopoulou P, Levidou G, Trigka EA, Prekete N, Karlou M, Thymara I, Sakellariou S, Fragkou P, Isaiadis D, Pavlopoulos P, Patsouris E, Saetta AA.

BJU Int. 2012 Dec;110(11 Pt C):E1237-48. doi: 10.1111/j.1464-410X.2012.11569.x. Epub 2012 Oct 29.

19.

Transposon insertional mutagenesis in mice identifies human breast cancer susceptibility genes and signatures for stratification.

Chen L, Jenjaroenpun P, Pillai AM, Ivshina AV, Ow GS, Efthimios M, Zhiqun T, Tan TZ, Lee SC, Rogers K, Ward JM, Mori S, Adams DJ, Jenkins NA, Copeland NG, Ban KH, Kuznetsov VA, Thiery JP.

Proc Natl Acad Sci U S A. 2017 Mar 14;114(11):E2215-E2224. doi: 10.1073/pnas.1701512114. Epub 2017 Mar 1.

20.

Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics.

Yu S, Jiang X, Li J, Li C, Guo M, Ye F, Zhang M, Jiao Y, Guo B.

Sci Rep. 2019 Mar 14;9(1):4467. doi: 10.1038/s41598-019-40811-3.

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