Wu T - Search Results

1

Identification of Personalized Chemoresistance Genes in Subtypes of Basal-Like Breast Cancer Based on Functional Differences Using Pathway Analysis.

Wu T, Wang X, Li J, Song X, Wang Y, Wang Y, Zhang L, Li Z, Tian J. Wu T, et al. PLoS One. 2015 Jun 30;10(6):e0131183. doi: 10.1371/journal.pone.0131183. eCollection 2015. PLoS One. 2015. PMID: 26126114 Free PMC article.

2

The differences in ultrasound and clinicopathological features between basal-like and normal-like subtypes of triple negative breast cancer.

Li Z, Ren M, Tian J, Jiang S, Liu Y, Zhang L, Wang Z, Song Q, Liu C, Wu T. Li Z, et al. Among authors: wu t. PLoS One. 2015 Mar 3;10(3):e0114820. doi: 10.1371/journal.pone.0114820. eCollection 2015. PLoS One. 2015. PMID: 25734578 Free PMC article.

3

Identifying ultrasound and clinical features of breast cancer molecular subtypes by ensemble decision.

Zhang L, Li J, Xiao Y, Cui H, Du G, Wang Y, Li Z, Wu T, Li X, Tian J. Zhang L, et al. Among authors: wu t. Sci Rep. 2015 Jun 5;5:11085. doi: 10.1038/srep11085. Sci Rep. 2015. PMID: 26046791 Free PMC article.

4

Differences in Multi-Modal Ultrasound Imaging between Triple Negative and Non-Triple Negative Breast Cancer.

Li Z, Tian J, Wang X, Wang Y, Wang Z, Zhang L, Jing H, Wu T. Li Z, et al. Among authors: wu t. Ultrasound Med Biol. 2016 Apr;42(4):882-90. doi: 10.1016/j.ultrasmedbio.2015.12.003. Epub 2016 Jan 16. Ultrasound Med Biol. 2016. PMID: 26786891

5

Early Evaluation of Relative Changes in Tumor Stiffness by Shear Wave Elastography Predicts the Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer.

Jing H, Cheng W, Li ZY, Ying L, Wang QC, Wu T, Tian JW. Jing H, et al. Among authors: wu t. J Ultrasound Med. 2016 Aug;35(8):1619-27. doi: 10.7863/ultra.15.08052. Epub 2016 Jun 14. J Ultrasound Med. 2016. PMID: 27302898

6

A pathways-based prediction model for classifying breast cancer subtypes.

Wu T, Wang Y, Jiang R, Lu X, Tian J. Wu T, et al. Oncotarget. 2017 Jun 17;8(35):58809-58822. doi: 10.18632/oncotarget.18544. eCollection 2017 Aug 29. Oncotarget. 2017. PMID: 28938599 Free PMC article.

7

Clinicopathological and Ultrasonic Features of Triple-Negative Breast Cancers: A Comparison with Hormone Receptor-Positive/Human Epidermal Growth Factor Receptor-2-Negative Breast Cancers.

Wang D, Zhu K, Tian J, Li Z, Du G, Guo Q, Wu T, Li J. Wang D, et al. Among authors: wu t. Ultrasound Med Biol. 2018 May;44(5):1124-1132. doi: 10.1016/j.ultrasmedbio.2018.01.013. Epub 2018 Feb 23. Ultrasound Med Biol. 2018. PMID: 29482888

8

Machine learning for diagnostic ultrasound of triple-negative breast cancer.

Wu T, Sultan LR, Tian J, Cary TW, Sehgal CM. Wu T, et al. Breast Cancer Res Treat. 2019 Jan;173(2):365-373. doi: 10.1007/s10549-018-4984-7. Epub 2018 Oct 20. Breast Cancer Res Treat. 2019. PMID: 30343454

9

Identification of a correlation between the sonographic appearance and molecular subtype of invasive breast cancer: A review of 311 cases.

Wu T, Li J, Wang D, Leng X, Zhang L, Li Z, Jing H, Kang J, Tian J. Wu T, et al. Clin Imaging. 2019 Jan-Feb;53:179-185. doi: 10.1016/j.clinimag.2018.10.020. Epub 2018 Oct 24. Clin Imaging. 2019. PMID: 30415183

10

Heterogeneity of Triple-Negative Breast Cancer: Differences in Clinicopathologic and Ultrasound Features Between Premenopausal and Postmenopausal Patients.

Zhu K, Wang D, Li Z, Du G, Guo Q, Wu T, Li J. Zhu K, et al. Among authors: wu t. J Ultrasound Med. 2020 May;39(5):919-927. doi: 10.1002/jum.15174. Epub 2019 Nov 18. J Ultrasound Med. 2020. PMID: 31737929

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