Literature DB >> 23053651

A prognostic model of early breast cancer relapse after standard adjuvant therapy and comparison with metastatic disease on initial presentation.

Li Chen1, Edward Romond, Saurin Chokshi, Hayder Saeed, Jacob Hodskins, Mark Stevens, Grace Pasley, Heidi Weiss, Suleiman Massarweh.   

Abstract

Breast cancer can metastasize at any time during its course, but timing of systemic relapse cannot be predicted by traditional TNM staging. Characteristics of distant recurrence within the first 3 years of diagnosis may identify a group of patients who could benefit from novel strategies to prevent systemic relapse. Of 1,089 patients with breast cancer treated at our institution between January 2007 and May 2011, we identified 76 with de novo metastases (on presentation) and 40 with systemic relapse after a median follow up of 2.2 years. Compared to relapse, de novo metastatic disease was more likely to be grade 1 or 2 (43.1 vs. 18.4 %, p = 0.032), estrogen receptor (ER) positive (69.7 vs. 47.5 %, p = 0.019), progesterone receptor (PgR) positive (56.6 vs. 32.5 %, p = 0.014), and HER2-positive (27.5 vs. 10.3 %, p = 0.035). In the 815 patients with stage I-III disease who were at risk of systemic relapse, univariate analyses were performed for age, tumor size, grade, ER, PgR, HER2, lymph nodes, and TNM stage. A multivariate Cox regression model was built using step-wise model selection and identified 4 covariates that were significantly associated with risk of early relapse: stage-III (p < 0.001), grade-III (p = 0.002), PgR-negative status (p = 0.014), and HER2-negative status (p = 0.033). A risk-score was developed based on the linear combination of these covariates and time-dependent predictive curves were used to evaluate the predictive accuracy of the proposed risk-score. The highest risk-score group had a 1, 2, and 3-year relapse probabilities of 11.5, 41.2, and 52.5 %, respectively. The corresponding 1, 2, and 3-year relapse probabilities for the overall population were 1.2, 4.4, and 6.3 %, respectively. Our proposed model can be used to select patients at high-risk of early relapse who could benefit from enrollment on clinical trials with novel therapies designed for this group.

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Year:  2012        PMID: 23053651     DOI: 10.1007/s10549-012-2265-4

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  6 in total

1.  PAX6 overexpression is associated with the poor prognosis of invasive ductal breast cancer.

Authors:  Xianghou Xia; Wenjuan Yin; Xiping Zhang; Xingfei Yu; Chen Wang; Shenhua Xu; Weiliang Feng; Hongjian Yang
Journal:  Oncol Lett       Date:  2015-06-29       Impact factor: 2.967

2.  Factors Associated with Time to Progression and Overall Survival in Patients with De Novo Metastatic Breast Cancer: A Colombian Cohort.

Authors:  Sandra Esperanza Díaz-Casas; Ximena Briceño-Morales; Leidy Juliana Puerto-Horta; Carlos Lehmann-Mosquera; Martha Cecilia Orozco-Ospino; Luis Hernán Guzmán-AbiSaab; Javier Ángel-Aristizábal; Mauricio García-Mora; Carlos Alfonso Duarte-Torres; Iván Fernando Mariño-Lozano; Clara Briceño-Morales; Ricardo Sánchez-Pedraza
Journal:  Oncologist       Date:  2022-03-04       Impact factor: 5.837

3.  Reduced Expression of TET1, TET2, TET3 and TDG mRNAs Are Associated with Poor Prognosis of Patients with Early Breast Cancer.

Authors:  Liu Yang; San-Jian Yu; Qi Hong; Yu Yang; Zhi-Ming Shao
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

4.  Establishing a predicted model to evaluate prognosis for initially diagnosed metastatic Her2-positive breast cancer patients and exploring the benefit from local surgery.

Authors:  Hong Lin; Yanxuan Wu; Guoxi Liang; Liming Chen
Journal:  PLoS One       Date:  2020-11-10       Impact factor: 3.240

5.  Identifying and Validating of an Autophagy-Related Gene Signature for the Prediction of Early Relapse in Breast Cancer.

Authors:  Yu Min; Yang Feng; Haojun Luo; Daixing Hu; Xiaoyuan Wei; Danshuang He; Guobing Yin; Shenghao Fan
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-16       Impact factor: 5.555

6.  Overexpression of HER2/neu as a Prognostic Value in Iranian Women With Early Stage Breast Cancer; A Single Institute Study.

Authors:  Hanifeh Mirtavoos Mahyari; Adnan Khosravi; Zeinab Mirtavoos Mahyari; Zahra Esfahani Monfared; Negin Khosravi
Journal:  Iran Red Crescent Med J       Date:  2014-11-11       Impact factor: 0.611

  6 in total

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