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Items: 1 to 20 of 117

1.

Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.

Yu C, Chen F, Jiang J, Zhang H, Zhou M.

Mol Med Rep. 2019 Aug;20(2):1259-1269. doi: 10.3892/mmr.2019.10336. Epub 2019 Jun 4.

PMID:
31173250
2.

Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.

Wen P, Chidanguro T, Shi Z, Gu H, Wang N, Wang T, Li Y, Gao J.

Mol Med Rep. 2018 Aug;18(2):1538-1550. doi: 10.3892/mmr.2018.9095. Epub 2018 May 29.

3.

Identification of key candidate genes and biological pathways in bladder cancer.

Gao X, Chen Y, Chen M, Wang S, Wen X, Zhang S.

PeerJ. 2018 Dec 4;6:e6036. doi: 10.7717/peerj.6036. eCollection 2018.

4.

Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.

Wang Y, Zhang Y, Huang Q, Li C.

Mol Med Rep. 2018 Jun;17(6):8091-8100. doi: 10.3892/mmr.2018.8895. Epub 2018 Apr 19.

5.

Hub genes and key pathways of non-small lung cancer identified using bioinformatics.

Tang Q, Zhang H, Kong M, Mao X, Cao X.

Oncol Lett. 2018 Aug;16(2):2344-2354. doi: 10.3892/ol.2018.8882. Epub 2018 Jun 4.

6.

Identification of key genes and pathways for esophageal squamous cell carcinoma by bioinformatics analysis.

Chen X, Cai S, Li B, Zhang X, Li W, Linag H, Cao X.

Exp Ther Med. 2018 Aug;16(2):1121-1130. doi: 10.3892/etm.2018.6316. Epub 2018 Jun 15.

7.

Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.

Zhou L, Tang H, Wang F, Chen L, Ou S, Wu T, Xu J, Guo K.

Mol Med Rep. 2018 Nov;18(5):4185-4196. doi: 10.3892/mmr.2018.9411. Epub 2018 Aug 21.

8.

Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.

Zhu HM, Fei Q, Qian LX, Liu BL, He X, Yin L.

Oncol Lett. 2019 May;17(5):4683-4694. doi: 10.3892/ol.2019.10133. Epub 2019 Mar 8.

9.

Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.

Liang B, Li C, Zhao J.

Med Oncol. 2016 Oct;33(10):111. doi: 10.1007/s12032-016-0829-6. Epub 2016 Aug 31.

PMID:
27581154
10.

Identification of differentially expressed genes and biological pathways in bladder cancer.

Tang F, He Z, Lei H, Chen Y, Lu Z, Zeng G, Wang H.

Mol Med Rep. 2018 May;17(5):6425-6434. doi: 10.3892/mmr.2018.8711. Epub 2018 Mar 9.

11.

Identification of differentially expressed genes and biological characteristics of colorectal cancer by integrated bioinformatics analysis.

Sun G, Li Y, Peng Y, Lu D, Zhang F, Cui X, Zhang Q, Li Z.

J Cell Physiol. 2019 Jan 16. doi: 10.1002/jcp.28163. [Epub ahead of print]

PMID:
30652311
12.

Identification of key pathways and genes in the progression of cervical cancer using bioinformatics analysis.

Wu K, Yi Y, Liu F, Wu W, Chen Y, Zhang W.

Oncol Lett. 2018 Jul;16(1):1003-1009. doi: 10.3892/ol.2018.8768. Epub 2018 May 22.

13.

Key signaling pathways, genes and transcription factors associated with hepatocellular carcinoma.

Wang J, Tian Y, Chen H, Li H, Zheng S.

Mol Med Rep. 2018 Jun;17(6):8153-8160. doi: 10.3892/mmr.2018.8871. Epub 2018 Apr 12.

14.

The identification of a common different gene expression signature in patients with colorectal cancer.

Zhao ZW, Fan XX, Yang LL, Song JJ, Fang SJ, Tu JF, Chen MJ, Zheng LY, Wu FZ, Zhang DK, Ying XH, Ji JS.

Math Biosci Eng. 2019 Apr 10;16(4):2942-2958. doi: 10.3934/mbe.2019145.

15.

Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.

Vastrad B, Vastrad C, Tengli A, Iliger S.

Arch Gynecol Obstet. 2018 Jan;297(1):161-183. doi: 10.1007/s00404-017-4562-y. Epub 2017 Oct 23.

PMID:
29063236
16.

Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.

Hu S, Liao Y, Chen L.

Med Sci Monit. 2018 Sep 14;24:6438-6448. doi: 10.12659/MSM.910088.

17.

Bioinformatics Analysis of Key Genes and Pathways in Colorectal Cancer.

Qi Y, Qi H, Liu Z, He P, Li B.

J Comput Biol. 2019 Apr;26(4):364-375. doi: 10.1089/cmb.2018.0237. Epub 2019 Feb 27.

PMID:
30810359
18.

Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.

Wang WJ, Li HT, Yu JP, Li YM, Han XP, Chen P, Yu WW, Chen WK, Jiao ZY, Liu HB.

Mol Med Rep. 2018 Nov;18(5):4499-4515. doi: 10.3892/mmr.2018.9457. Epub 2018 Sep 5.

19.

Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.

Zhang T, Guo J, Gu J, Wang Z, Wang G, Li H, Wang J.

Oncol Rep. 2019 Jan;41(1):279-291. doi: 10.3892/or.2018.6840. Epub 2018 Nov 1.

20.

The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.

Zhang C, Peng L, Zhang Y, Liu Z, Li W, Chen S, Li G.

Med Oncol. 2017 Jun;34(6):101. doi: 10.1007/s12032-017-0963-9. Epub 2017 Apr 21.

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