Zhu Y - Search Results

1

Screening candidate microRNA-mRNA regulatory pairs for predicting the response to chemoradiotherapy in rectal cancer by a bioinformatics approach.

Peng Q, Zhu J, Shen P, Yao W, Lei Y, Zou L, Xu Y, Shen Y, Zhu Y. Peng Q, et al. Among authors: zhu y, zhu j. Sci Rep. 2017 Sep 12;7(1):11312. doi: 10.1038/s41598-017-11840-7. Sci Rep. 2017. PMID: 28900297 Free PMC article.

2

Systemic analysis on risk factors for breast cancer related lymphedema.

Zhu YQ, Xie YH, Liu FH, Guo Q, Shen PP, Tian Y. Zhu YQ, et al. Asian Pac J Cancer Prev. 2014;15(16):6535-41. doi: 10.7314/apjcp.2014.15.16.6535. Asian Pac J Cancer Prev. 2014. PMID: 25169483 Free article.

3

Identification of biomarker microRNAs for predicting the response of colorectal cancer to neoadjuvant chemoradiotherapy based on microRNA regulatory network.

Zhu Y, Peng Q, Lin Y, Zou L, Shen P, Chen F, Min M, Shen L, Chen J, Shen B. Zhu Y, et al. Oncotarget. 2017 Jan 10;8(2):2233-2248. doi: 10.18632/oncotarget.13659. Oncotarget. 2017. PMID: 27903980 Free PMC article.

4

The clinical role of microRNA-21 as a promising biomarker in the diagnosis and prognosis of colorectal cancer: a systematic review and meta-analysis.

Peng Q, Zhang X, Min M, Zou L, Shen P, Zhu Y. Peng Q, et al. Among authors: zhu y. Oncotarget. 2017 Jul 4;8(27):44893-44909. doi: 10.18632/oncotarget.16488. Oncotarget. 2017. PMID: 28415652 Free PMC article. Review.

5

The incidence and risk factors of related lymphedema for breast cancer survivors post-operation: a 2-year follow-up prospective cohort study.

Zou L, Liu FH, Shen PP, Hu Y, Liu XQ, Xu YY, Pen QL, Wang B, Zhu YQ, Tian Y. Zou L, et al. Among authors: zhu yq. Breast Cancer. 2018 May;25(3):309-314. doi: 10.1007/s12282-018-0830-3. Epub 2018 Feb 3. Breast Cancer. 2018. PMID: 29397555

6

Identification of genomic expression differences between right-sided and left-sided colon cancer based on bioinformatics analysis.

Peng Q, Lin K, Chang T, Zou L, Xing P, Shen Y, Zhu Y. Peng Q, et al. Among authors: zhu y. Onco Targets Ther. 2018 Jan 31;11:609-618. doi: 10.2147/OTT.S154207. eCollection 2018. Onco Targets Ther. 2018. PMID: 29430186 Free PMC article.

7

Comprehensive and integrative analysis identifies microRNA-106 as a novel non-invasive biomarker for detection of gastric cancer.

Peng Q, Shen Y, Lin K, Zou L, Shen Y, Zhu Y. Peng Q, et al. Among authors: zhu y. J Transl Med. 2018 May 15;16(1):127. doi: 10.1186/s12967-018-1510-y. J Transl Med. 2018. PMID: 29764446 Free PMC article.

8

Identification of potential genes and pathways for response prediction of neoadjuvant chemoradiotherapy in patients with rectal cancer by systemic biological analysis.

Peng Q, Lin K, Shen Y, Zhou P, Fan S, Shen Y, Zhu Y. Peng Q, et al. Among authors: zhu y. Oncol Lett. 2019 Jan;17(1):492-501. doi: 10.3892/ol.2018.9598. Epub 2018 Oct 18. Oncol Lett. 2019. PMID: 30655792 Free PMC article.

9

Identification of microRNA-92a and the related combination biomarkers as promising substrates in predicting risk, recurrence and poor survival of colorectal cancer.

Peng Q, Shen Y, Lin K, Zou L, Shen Y, Zhu Y. Peng Q, et al. Among authors: zhu y. J Cancer. 2019 Jun 2;10(14):3154-3171. doi: 10.7150/jca.30306. eCollection 2019. J Cancer. 2019. PMID: 31289586 Free PMC article.

10

Integrated analyses of microRNA-29 family and the related combination biomarkers demonstrate their widespread influence on risk, recurrence, metastasis and survival outcome in colorectal cancer.

Peng Q, Feng Z, Shen Y, Zhu J, Zou L, Shen Y, Zhu Y. Peng Q, et al. Among authors: zhu y, zhu j. Cancer Cell Int. 2019 Jul 15;19:181. doi: 10.1186/s12935-019-0907-x. eCollection 2019. Cancer Cell Int. 2019. PMID: 31346316 Free PMC article.

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