Song K - Search Results

1

Identification of genes with universally upregulated or downregulated expressions in colorectal cancer.

Song K, Su W, Liu Y, Zhang J, Liang Q, Li N, Guan Q, He J, Bai X, Zhao W, Guo Z. Song K, et al. J Gastroenterol Hepatol. 2019 May;34(5):880-889. doi: 10.1111/jgh.14529. Epub 2018 Dec 11. J Gastroenterol Hepatol. 2019. PMID: 30395690

2

A rank-based transcriptional signature for predicting relapse risk of stage II colorectal cancer identified with proper data sources.

Zhao W, Chen B, Guo X, Wang R, Chang Z, Dong Y, Song K, Wang W, Qi L, Gu Y, Wang C, Yang D, Guo Z. Zhao W, et al. Among authors: song k. Oncotarget. 2016 Apr 5;7(14):19060-71. doi: 10.18632/oncotarget.7956. Oncotarget. 2016. PMID: 26967049 Free PMC article.

3

Statistically controlled identification of differentially expressed genes in one-to-one cell line comparisons of the CMAP database for drug repositioning.

He J, Yan H, Cai H, Li X, Guan Q, Zheng W, Chen R, Liu H, Song K, Guo Z, Wang X. He J, et al. Among authors: song k. J Transl Med. 2017 Sep 29;15(1):198. doi: 10.1186/s12967-017-1302-9. J Transl Med. 2017. PMID: 28962576 Free PMC article.

4

Robust transcriptional signatures for low-input RNA samples based on relative expression orderings.

Liu H, Li Y, He J, Guan Q, Chen R, Yan H, Zheng W, Song K, Cai H, Guo Y, Wang X, Guo Z. Liu H, et al. Among authors: song k. BMC Genomics. 2017 Nov 28;18(1):913. doi: 10.1186/s12864-017-4280-7. BMC Genomics. 2017. PMID: 29179677 Free PMC article.

5

Quantitative or qualitative transcriptional diagnostic signatures? A case study for colorectal cancer.

Guan Q, Yan H, Chen Y, Zheng B, Cai H, He J, Song K, Guo Y, Ao L, Liu H, Zhao W, Wang X, Guo Z. Guan Q, et al. Among authors: song k. BMC Genomics. 2018 Jan 29;19(1):99. doi: 10.1186/s12864-018-4446-y. BMC Genomics. 2018. PMID: 29378509 Free PMC article.

6

A qualitative signature for predicting pathological response to neoadjuvant chemoradiation in locally advanced rectal cancers.

Guo Y, Jiang W, Ao L, Song K, Chen H, Guan Q, Gao Q, Cheng J, Liu H, Wang X, Guan G, Guo Z. Guo Y, et al. Among authors: song k. Radiother Oncol. 2018 Oct;129(1):149-153. doi: 10.1016/j.radonc.2018.01.010. Epub 2018 Feb 3. Radiother Oncol. 2018. PMID: 29402470

7

Individualized predictive signatures for 5-fluorouracil-based chemotherapy in right- and left-sided colon cancer.

Song K, Zhao W, Wang W, Zhang N, Wang K, Chang Z. Song K, et al. Cancer Sci. 2018 Jun;109(6):1939-1948. doi: 10.1111/cas.13622. Epub 2018 May 23. Cancer Sci. 2018. PMID: 29700901 Free PMC article.

8

Transcriptional signatures for coupled predictions of stage II and III colorectal cancer metastasis and fluorouracil-based adjuvant chemotherapy benefit.

Song K, Guo Y, Wang X, Cai H, Zheng W, Li N, Song X, Ao L, Guo Z, Zhao W. Song K, et al. Among authors: song x. FASEB J. 2019 Jan;33(1):151-162. doi: 10.1096/fj.201800222RRR. Epub 2018 Jun 29. FASEB J. 2019. PMID: 29957060

For patients with stage II and III CRC, the coupled signatures can first identify patients with high relapse risk after curative surgery, then predict therapeutic benefit from 5-FU-based ACT.-Song, K., Guo, Y., Wang, X., Cai, H., Zheng, W., Li, N., Song, X., …

For patients with stage II and III CRC, the coupled signatures can first identify patients with high relapse risk after curative surgery, th …

9

Identification and characterization of genes with absolute mRNA abundances changes in tumor cells with varied transcriptome sizes.

Cai H, Li X, He J, Zhou W, Song K, Guo Y, Liu H, Guan Q, Yan H, Wang X, Guo Z. Cai H, et al. Among authors: song k. BMC Genomics. 2019 Feb 13;20(1):134. doi: 10.1186/s12864-019-5502-y. BMC Genomics. 2019. PMID: 30760197 Free PMC article.

10

A qualitative transcriptional signature for determining the grade of colorectal adenocarcinoma.

Zheng H, Song K, Fu Y, You T, Yang J, Guo W, Wang K, Jin L, Gu Y, Qi L, Zhao W, Guo Z. Zheng H, et al. Among authors: song k. Cancer Gene Ther. 2020 Sep;27(9):680-690. doi: 10.1038/s41417-019-0139-1. Epub 2019 Oct 9. Cancer Gene Ther. 2020. PMID: 31595030

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