Dai Y - Search Results

1

Development and testing of a random forest-based machine learning model for predicting events among breast cancer patients with a poor response to neoadjuvant chemotherapy.

Jin Y, Lan A, Dai Y, Jiang L, Liu S. Jin Y, et al. Among authors: dai y. Eur J Med Res. 2023 Sep 30;28(1):394. doi: 10.1186/s40001-023-01361-7. Eur J Med Res. 2023. PMID: 37777809 Free PMC article. Clinical Trial.

2

Plasma fibrinogen acts as a predictive factor for pathological complete response to neoadjuvant chemotherapy in breast cancer: a retrospective study of 1004 Chinese breast cancer patients.

Wang Y, Wang Y, Chen R, Tang Z, Peng Y, Jin Y, Lan A, Ding N, Dai Y, Jiang L, Liu S. Wang Y, et al. Among authors: dai y. BMC Cancer. 2021 May 12;21(1):542. doi: 10.1186/s12885-021-08284-8. BMC Cancer. 2021. PMID: 33980202 Free PMC article.

3

Pre-treatment circulating reproductive hormones levels predict pathological and survival outcomes in breast cancer submitted to neoadjuvant chemotherapy.

Lan A, Jin Y, Wang Y, Wang Y, Ding N, Dai Y, Jiang L, Tang Z, Peng Y, Liu S. Lan A, et al. Among authors: dai y. Int J Clin Oncol. 2022 May;27(5):899-910. doi: 10.1007/s10147-022-02141-9. Epub 2022 Mar 3. Int J Clin Oncol. 2022. PMID: 35239089

4

Breast Metastasis From Rectal Signet-Ring Cell Carcinoma: A Case Report and Review of Literature.

Dai Y, Jin Y, Lan A, Ding N, Jiang L, Liu S. Dai Y, et al. Front Oncol. 2022 Apr 4;12:873354. doi: 10.3389/fonc.2022.873354. eCollection 2022. Front Oncol. 2022. PMID: 35444939 Free PMC article. Review.

5

Prognostic Signature and Therapeutic Value Based on Membrane Lipid Biosynthesis-Related Genes in Breast Cancer.

Xu Y, Jin Y, Gao S, Wang Y, Qu C, Wu Y, Ding N, Dai Y, Jiang L, Liu S. Xu Y, et al. Among authors: dai y. J Oncol. 2022 Aug 25;2022:7204415. doi: 10.1155/2022/7204415. eCollection 2022. J Oncol. 2022. PMID: 36059802 Free PMC article.

6

Association of serum reproductive hormones changes after neoadjuvant chemotherapy with hormone receptors expression alterations and survival outcomes in breast cancer.

Lan A, Jin Y, Wang Y, Ding N, Wang Y, Dai Y, Jiang L, Tang Z, Peng Y, Liu S. Lan A, et al. Among authors: dai y. Front Surg. 2022 Aug 31;9:947218. doi: 10.3389/fsurg.2022.947218. eCollection 2022. Front Surg. 2022. PMID: 36117838 Free PMC article.

7

The impact of postmastectomy radiotherapy on cT1-2N1 breast cancer patients with ypN0 after neoadjuvant chemotherapy: a retrospective study based on real-world data.

Dai Y, Ma S, Lan A, Wang Y, Wang Y, Jin Y, Ding N, Jiang L, Tang Z, Yin X, Peng Y, Liu S. Dai Y, et al. Discov Oncol. 2023 Jan 7;14(1):2. doi: 10.1007/s12672-022-00609-8. Discov Oncol. 2023. PMID: 36609653 Free PMC article.

8

Development and Assessment of a Novel Core Biopsy-Based Prediction Model for Pathological Complete Response to Neoadjuvant Chemotherapy in Women with Breast Cancer.

Lan A, Chen J, Li C, Jin Y, Wu Y, Dai Y, Jiang L, Li H, Peng Y, Liu S. Lan A, et al. Among authors: dai y. Int J Environ Res Public Health. 2023 Jan 16;20(2):1617. doi: 10.3390/ijerph20021617. Int J Environ Res Public Health. 2023. PMID: 36674372 Free PMC article.

9

Nomograms for Predicting Disease-Free Survival Based on Core Needle Biopsy and Surgical Specimens in Female Breast Cancer Patients with Non-Pathological Complete Response to Neoadjuvant Chemotherapy.

Lan A, Li H, Chen J, Shen M, Jin Y, Dai Y, Jiang L, Dai X, Peng Y, Liu S. Lan A, et al. Among authors: dai x, dai y. J Pers Med. 2023 Jan 29;13(2):249. doi: 10.3390/jpm13020249. J Pers Med. 2023. PMID: 36836483 Free PMC article.

10

Comparison of the pCR Rate and DFS Among Breast Cancer Patients with Different Hormone Receptor and HER2 Statuses.

Jin Y, Lan A, Dai Y, Jiang L, Liu S. Jin Y, et al. Among authors: dai y. Breast Cancer (Dove Med Press). 2023 May 1;15:327-335. doi: 10.2147/BCTT.S407896. eCollection 2023. Breast Cancer (Dove Med Press). 2023. PMID: 37153867 Free PMC article.

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