Cancer Research and Treatment

Efficacy, safety, and predictive model of Palbociclib in the treatment of HR-positive and HER2-negative metastatic breast cancer

Wei Wang, Wenqian Lei, Ziru Fang, Ruiyuan Jiang, Xiaojia Wang

Shear-wave elastography-based nomograms predicting 21-gene recurrence score for adjuvant chemotherapy decisions in patients with breast cancer

Ji Hyun Youk, Eun Ju Son, Joon Jeong, Hye Mi Gweon, Na Lae Eun, Jeong-Ah Kim

European Journal of Radiology.2023; 158: 110638. CrossRef

Prediction of Oncotype DX Recurrence Score Using Clinicopathological Variables in Estrogen Receptor-Positive/Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer

Min Chong Kim, Sun Young Kwon, Jung Eun Choi, Su Hwan Kang, Young Kyung Bae

Journal of Breast Cancer.2023; 26(2): 105. CrossRef

Clinicopathological Factors Associated with Oncotype DX Risk Group in Patients with ER+/HER2- Breast Cancer

Ran Song, Dong-Eun Lee, Eun-Gyeong Lee, Seeyoun Lee, Han-Sung Kang, Jai Hong Han, Keun Seok Lee, Sung Hoon Sim, Heejung Chae, Youngmee Kwon, Jaeyeon Woo, So-Youn Jung

A simplified risk scoring system for predicting high-risk groups in gene expression tests for patients with estrogen receptor-positive, human epidermal growth factor receptor 2-negative, and node-positive breast cancer

Kwang Hyun Yoon, Suk Jun Lee, Yujin Kim, Jee Hyun Ahn, Jee Ye Kim, Hyung Seok Park, Seung Il Kim, Seho Park

Annals of Surgical Treatment and Research.2023; 105(6): 360. CrossRef

Deep Learning-Based Pathology Image Analysis Enhances Magee Feature Correlation With Oncotype DX Breast Recurrence Score

Hongxiao Li, Jigang Wang, Zaibo Li, Melad Dababneh, Fusheng Wang, Peng Zhao, Geoffrey H. Smith, George Teodoro, Meijie Li, Jun Kong, Xiaoxian Li

A Novel Surrogate Nomogram Capable of Predicting OncotypeDX Recurrence Score©

Matthew G. Davey, Amirhossein Jalali, Éanna J. Ryan, Ray P. McLaughlin, Karl J. Sweeney, Michael K. Barry, Carmel M. Malone, Maccon M. Keane, Aoife J. Lowery, Nicola Miller, Michael J. Kerin

Journal of Personalized Medicine.2022; 12(7): 1117. CrossRef

Use of a supervised machine learning model to predict Oncotype DX risk category in node-positive patients older than 50 years of age

Austin D. Williams, Kate R. Pawloski, Hannah Y. Wen, Varadan Sevilimedu, Donna Thompson, Monica Morrow, Mahmoud El-Tamer

Breast Cancer Research and Treatment.2022; 196(3): 565. CrossRef

The Role of Oncotype DX® Recurrence Score in Predicting Axillary Response After Neoadjuvant Chemotherapy in Breast Cancer

Jaime A. Pardo, Betty Fan, Alessandra Mele, Stephanie Serres, Monica G. Valero, Isha Emhoff, Amulya Alapati, Ted A. James

Annals of Surgical Oncology.2021; 28(3): 1320. CrossRef

A nomogram to predict the high-risk RS in HR+/HER2-breast cancer patients older than 50 years of age

Jing Yu, Jiayi Wu, Ou Huang, Jianrong He, Li Zhu, Weiguo Chen, Yafen Li, Xiaosong Chen, Kunwei Shen

Journal of Translational Medicine.2021;[Epub] CrossRef

Clinicopathological correlates, oncological impact, and validation of Oncotype DX™ in a European Tertiary Referral Centre

Matthew G. Davey, Éanna J. Ryan, Sami Abd Elwahab, Jessie A. Elliott, Peter F. McAnena, Karl J. Sweeney, Carmel M. Malone, Ray McLaughlin, Michael K. Barry, Maccon M. Keane, Aoife J. Lowery, Michael J. Kerin

Dynamic contrast enhanced-MRI and diffusion-weighted image as predictors of lymphovascular invasion in node-negative invasive breast cancer

World Journal of Surgical Oncology.2021;[Epub] CrossRef

Prognostic value of the 21-gene recurrence score for regional recurrence in patients with estrogen receptor-positive breast cancer

Minji Koh, Jinhong Jung, Su Ssan Kim, Seung Do Ahn, Eun Kyung Choi, Il Yong Chung, Jong Won Lee, Sung-Bae Kim, Jae Ho Jeong

Breast Cancer Research and Treatment.2021; 188(3): 583. CrossRef

A nomogram for predicting probability of low risk of MammaPrint results in women with clinically high-risk breast cancer

Young Joo Lee, Young Sol Hwang, Junetae Kim, Sei-Hyun Ahn, Byung Ho Son, Hee Jeong Kim, Beom Seok Ko, Jisun Kim, Il Yong Chung, Jong Won Lee, Sae Byul Lee

Development of a Nomogram to Predict the Recurrence Score of 21-Gene Prediction Assay in Hormone Receptor–Positive Early Breast Cancer

Shin Hye Yoo, Tae-Yong Kim, Miso Kim, Kyung-Hun Lee, Eunshin Lee, Han-Byoel Lee, Hyeong-Gon Moon, Wonshik Han, Dong-Young Noh, Sae-Won Han, Tae-You Kim, Seock-Ah Im

Ki‐67 index, progesterone receptor expression, histologic grade and tumor size in predicting breast cancer recurrence risk: A consecutive cohort study

Yanna Zhang, Yidong Zhou, Feng Mao, Ru Yao, Qiang Sun

Estrogen and Progesterone Receptor Testing in Breast Cancer: American Society of Clinical Oncology/College of American Pathologists Guideline Update

Kimberly H. Allison, M. Elizabeth H. Hammond, Mitchell Dowsett, Shannon E. McKernin, Lisa A. Carey, Patrick L. Fitzgibbons, Daniel F. Hayes, Sunil R. Lakhani, Mariana Chavez-MacGregor, Jane Perlmutter, Charles M. Perou, Meredith M. Regan, David L. Rimm, W

Archives of Pathology & Laboratory Medicine.2020; 144(5): 545. CrossRef

Oncotype DX Predictive Nomogram for Recurrence Score Output: The Novel System ADAPTED01 Based on Quantitative Immunochemistry Analysis

Fabio Marazzi, Roberto Barone, Valeria Masiello, Valentina Magri, Antonino Mulè, Angela Santoro, Federica Cacciatori, Luca Boldrini, Gianluca Franceschini, Francesca Moschella, Giuseppe Naso, Silverio Tomao, Maria Antonietta Gambacorta, Giovanna Mantini,

Clinical Breast Cancer.2020; 20(5): e600. CrossRef