A Novel Surrogate Nomogram Capable of Predicting OncotypeDX Recurrence Score

被引:2
|
作者
Davey, Matthew G. [1 ,2 ]
Jalali, Amirhossein [3 ,4 ]
Ryan, Eanna J. [2 ]
McLaughlin, Ray P. [2 ]
Sweeney, Karl J. [2 ]
Barry, Michael K. [2 ]
Malone, Carmel M. [2 ]
Keane, Maccon M. [5 ]
Lowery, Aoife J. [1 ,2 ]
Miller, Nicola [1 ]
Kerin, Michael J. [1 ,2 ]
机构
[1] Natl Univ Ireland, Lambe Inst Translat Res, Galway H91 TK33, Ireland
[2] Galway Univ Hosp, Dept Surg, Galway H91 YR71, Ireland
[3] Univ Limerick, Dept Math & Stat, Limerick V94 T9PX, Ireland
[4] Univ Limerick, Sch Med, Limerick V94 T9PX, Ireland
[5] Galway Univ Hosp, Dept Med Oncol, Galway H91 YR71, Ireland
来源
JOURNAL OF PERSONALIZED MEDICINE | 2022年 / 12卷 / 07期
关键词
breast cancer; genomics; personalized medicine; surgical oncology; INTERNATIONAL CONSENSUS GUIDELINES; BREAST-CANCER RECURRENCE; MOLECULAR PORTRAITS; CLINICAL-PRACTICE; PRIMARY THERAPY; DX; ASSAY; IMPACT; POPULATION; EXPERIENCE;
D O I
10.3390/jpm12071117
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: OncotypeDX Recurrence Score(C) (RS) is a commercially available 21-gene expression assay which estimates prognosis and guides chemoendocrine prescription in early-stage estrogen-receptor positive, human epidermal growth factor receptor-2-negative (ER+/HER2-) breast cancer. Limitations of RS testing include the cost and turnaround time of several weeks. Aim: Our aim is to develop a user-friendly surrogate nomogram capable of predicting RS. Methods: Multivariable linear regression analyses were performed to determine predictors of RS and RS > 25. Receiver operating characteristic analysis produced an area under the curve (AUC) for each model, with training and test sets were composed of 70.3% (n = 315) and 29.7% (n = 133). A dynamic, user-friendly nomogram was built to predict RS using R (version 4.0.3). Results: 448 consecutive patients who underwent RS testing were included (median age: 58 years). Using multivariable regression analyses, postmenopausal status (beta-Coefficient: 0.25, 95% confidence intervals (CIs): 0.03-0.48, p = 0.028), grade 3 disease (beta-Coefficient: 0.28, 95% CIs: 0.03-0.52, p = 0.026), and estrogen receptor (ER) score (beta-Coefficient: -0.14, 95% CIs: -0.22--0.06, p = 0.001) all independently predicted RS, with AUC of 0.719. Using multivariable regression analyses, grade 3 disease (odds ratio (OR): 5.67, 95% CIs: 1.32-40.00, p = 0.037), decreased ER score (OR: 1.33, 95% CIs: 1.02-1.66, p = 0.050) and decreased progesterone receptor score (OR: 1.16, 95% CIs: 1.06-1.25, p = 0.002) all independently predicted RS > 25, with AUC of 0.740 for the static and dynamic online nomogram model. Conclusions: This study designed and validated an online user-friendly nomogram from routinely available clinicopathological parameters capable of predicting outcomes of the 21-gene RS expression assay.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] A novel risk score model based on eight genes and a nomogram for predicting overall survival of patients with osteosarcoma
    Wu, Guangzhi
    Zhang, Minglei
    BMC CANCER, 2020, 20 (01)
  • [42] A novel risk score model based on eight genes and a nomogram for predicting overall survival of patients with osteosarcoma
    Guangzhi Wu
    Minglei Zhang
    BMC Cancer, 20
  • [43] Cellulitis Recurrence Score: A tool for predicting recurrence of lower limb cellulitis
    Tay, Evelyn Yuxin
    Fook-Chong, Stephanie
    Oh, Choon Chiat
    Thirumoorthy, Thamotharampillai
    Pang, Shiu Ming
    Lee, Haur Yueh
    JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 2015, 72 (01) : 140 - 145
  • [44] A novel nomogram for predicting ECE of prostate cancer
    Rocco, Bernardo
    Sighinolfi, Maria Chiara
    Sandri, Marco
    Puliatti, Stefano
    Bianchi, Giampaolo
    BJU INTERNATIONAL, 2018, 122 (06) : 916 - 918
  • [45] OncotypeDX recurrence score and its relationship with basic immunohistochemistry for breast cancer patients in a Colombian cancer unit.
    Herazo-Maya, Fernando
    Ramirez, Claudia
    Garcia, Hector
    Ossa, Carlos Andres
    Madrid, Jorge
    Borrero, Mauricio
    Angel, Gonzalo
    Echeverri, Carolina
    Gil, Monica
    Gomez, Luis Rodolfo
    Gonzalez-Angulo, Ana M.
    JOURNAL OF CLINICAL ONCOLOGY, 2014, 32 (15)
  • [46] A novel nomogram for predicting extraurothelial recurrence in patients with upper urinary tract urothelial carcinoma after radical nephroureterectomy
    Zhenkai Luo
    Binbin Jiao
    Yangxuanyu Yan
    Yuhao Liu
    Haijie Chen
    Yunfan Guan
    Zhenshan Ding
    Guan Zhang
    Journal of Cancer Research and Clinical Oncology, 2023, 149 : 14241 - 14253
  • [47] A novel nomogram for predicting extraurothelial recurrence in patients with upper urinary tract urothelial carcinoma after radical nephroureterectomy
    Luo, Zhenkai
    Jiao, Binbin
    Yan, Yangxuanyu
    Liu, Yuhao
    Chen, Haijie
    Guan, Yunfan
    Ding, Zhenshan
    Zhang, Guan
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (15) : 14241 - 14253
  • [48] Novel risk score for predicting recurrence of atrial fibrillation after the Cryo-Maze procedure
    Kakuta, Takashi
    Fukushima, Satsuki
    Minami, Kimito
    Saito, Tetsuya
    Kawamoto, Naonori
    Tadokoro, Naoki
    Ikuta, Ayumi
    Kobayashi, Junjiro
    Fujita, Tomoyuki
    EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY, 2021, 59 (06) : 1218 - 1225
  • [49] A nomogram for predicting the probability of recurrence in patients with carcinomas located in the ampulla of Vater
    Liu, Keng-Hao
    Hsu, Chih-Ho
    Hsu, Jun-Te
    Tsai, Chun-Yi
    Liu, Yu-Yin
    Hwang, Tsann-Long
    Yeh, Ta-Sen
    Hung, Yu-Shin
    Chou, Wen-Chi
    JOURNAL OF CANCER, 2017, 8 (03): : 425 - 433
  • [50] A Nomogram for Predicting Early Recurrence in Patients with High-Grade Gliomas
    Zhou, Qing
    Ke, Xiaoai
    Xue, Caiqiang
    Li, Shenglin
    Huang, Xiaoyu
    Zhang, Bin
    Zhou, Junlin
    WORLD NEUROSURGERY, 2022, 164 : E619 - E628