Introducing novel and comprehensive models for predicting recurrence in breast cancer using the group LASSO approach: are estimates of early and late recurrence different?-Reference-Cited by-同舟云学术

Introducing novel and comprehensive models for predicting recurrence in breast cancer using the group LASSO approach: are estimates of early and late recurrence different?

Published:2018-09-12 Issue:1 Volume:16 Page:
ISSN:1477-7819
Container-title:World Journal of Surgical Oncology
language:en
Short-container-title:World J Surg Onc

Author:

Akrami Majid,Arasteh Peyman,Eghbali Tannaz^ORCID,Shahraki Hadi Raeisi,Tahmasebi Sedigheh,Zangouri Vahid,Rezaianzadeh Abbas,Talei Abdolrasoul

Funder

Shiraz Transplant Research Center, Shiraz University of Medical Sciences

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Surgery

Link

http://link.springer.com/content/pdf/10.1186/s12957-018-1489-0.pdf

Reference19 articles.

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3. Zhang Y, Schroeder BE, Jerevall PL, Ly A, Nolan H, Schnabel CA, et al. A novel breast cancer index for prediction of distant recurrence in HR+ early stage breast cancer with 1 to 3 positive nodes. Clin Cancer Res. 2017.

4. Wishart GC, Azzato EM, Greenberg DC, Rashbass J, Kearins O, Lawrence G, et al. PREDICT: a new UK prognostic model that predicts survival following surgery for invasive breast cancer. Breast Cancer Res. 2010;12(1):R1.

5. Wishart GC, Bajdik CD, Dicks E, Provenzano E, Schmidt MK, Sherman M, et al. PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2. Br J Cancer. 2012;107(5):800–7.

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