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Breast Cancer Research : BCR|March 12, 2025
Molecular determinants of response to neoadjuvant pembrolizumab plus chemotherapy in patients with high-risk, early-stage, triple-negative breast cancer: exploratory analysis of the open-label, multicohort phase 1b KEYNOTE-173 studyRebecca Dent, Javier Cortés, Yeon Hee Park, et al.Korean Journal of Critical Care Medicine|November 15, 2019
The Ability of the Acute Physiology and Chronic Health Evaluation (APACHE) IV Score to Predict Mortality in a Single Tertiary HospitalJae Woo Choi, Young Sun Park, Young Seok Lee, et al.Cancer Research and Treatment|February 25, 2016
Association between Mutation and Expression of TP53 as a Potential Prognostic Marker of Triple-Negative Breast CancerJi-Yeon Kim, Kyunghee Park, Hae Hyun Jung, et al.Breast Cancer Research and Treatment|December 4, 2009
A risk stratification by hormonal receptors (ER, PgR) and HER-2 status in small (< or = 1 cm) invasive breast cancer: who might be possible candidates for adjuvant treatment?Yeon Hee Park, Seung Tae Kim, Eun Yoon Cho, et al.Journal of Surgical Oncology|October 31, 2009
The role of PET CT to evaluate the response to neoadjuvant chemotherapy in advanced breast cancer: comparison with ultrasonography and magnetic resonance imagingJae Hyuck Choi, Hye In Lim, Se Kyung Lee, et al.Oncotarget|May 27, 2015
Molecular characterization of patients with pathologic complete response or early failure after neoadjuvant chemotherapy for locally advanced breast cancer using next generation sequencing and nCounter assayKyunghee Park, Moon Ki Choi, Hae Hyun Jung, et al.Cancer Research and Treatment|January 28, 2015
Impact on Survival of Regular Postoperative Surveillance for Patients with Early Breast CancerJi Yun Lee, Sung Hee Lim, Min-Young Lee, et al.Journal of Breast Cancer|April 13, 2023
Prognostic Impact of Elevation of Cancer Antigen 15-3 (CA15-3) in Patients With Early Breast Cancer With Normal Serum CA15-3 LevelJai Min Ryu, Danbee Kang, Juhee Cho, et al.Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 10, 2025
Machine Learning-Based Prediction of Distant Recurrence Risk and Ribociclib Treatment Effect in HR+/HER2- Early Breast Cancer Using Real-World and NATALEE DataFrederick M Howard, Peter A Fasching, Cesar A Santa-Maria, et al.BMC Cancer|September 24, 2010
Triple-negative, basal-like, and quintuple-negative breast cancers: better prediction model for survivalYoon-La Choi, Ensel Oh, Sarah Park, et al.Pageof 37