Literature DB >> 29721715

A prognostic scoring model for survival after locoregional therapy in de novo stage IV breast cancer.

Anuhya Kommalapati1, Sri Harsha Tella1, Gaurav Goyal2, Apar Kishor Ganti3, Jairam Krishnamurthy3, Pavan Kumar Tandra4.   

Abstract

BACKGROUND: The role of locoregional treatment (LRT) remains controversial in de novo stage IV breast cancer (BC). We sought to analyze the role of LRT and prognostic factors of overall survival (OS) in de novo stage IV BC patients treated with LRT utilizing the National Cancer Data Base (NCDB). The objective of the current study is to create and internally validate a prognostic scoring model to predict the long-term OS for de novo stage IV BC patients treated with LRT.
METHODS: We included de novo stage IV BC patients reported to NCDB between 2004 and 2015. Patients were divided into LRT and no-LRT subsets. We randomized LRT subset to training and validation cohorts. In the training cohort, a seventeen-point prognostic scoring system was developed based on the hazard ratios calculated using Cox-proportional method. We stratified both training and validation cohorts into two "groups" [group 1 (0-7 points) and group 2 (7-17 points)]. Kaplan-Meier method and log-rank test were used to compare OS between the two groups. Our prognostic score was validated internally by comparing the OS between the respective groups in both the training and validation cohorts.
RESULTS: Among 67,978 patients, LRT subset (21,200) had better median OS as compared to that of no-LRT (45 vs. 24 months; p < 0.0001). The group 1 and group 2 in the training cohort showed a significant difference in the 3-year OS (p < 0.0001) (68 vs. 26%). On internal validation, comparable OS was seen between the respective groups in each cohort (p = 0.77).
CONCLUSIONS: Our prognostic scoring system will help oncologists to predict the prognosis in de novo stage IV BC patients treated with LRT. Although firm treatment-related conclusions cannot be made due to the retrospective nature of the study, LRT appears to be associated with a better OS in specific subgroups.

Entities:  

Keywords:  Locoregional therapy; Prediction model; Stage IV breast cancer; Survival

Mesh:

Year:  2018        PMID: 29721715     DOI: 10.1007/s10549-018-4802-2

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


  2 in total

1.  Locoregional therapy of the primary tumour in de novo stage IV breast cancer in 216 066 patients: A meta-analysis.

Authors:  Ritika Gera; Hiba E L Hage Chehade; Umar Wazir; Salim Tayeh; Abdul Kasem; Kefah Mokbel
Journal:  Sci Rep       Date:  2020-02-19       Impact factor: 4.379

2.  Metastatic breast cancer: Who benefits from surgery?

Authors:  Caitlin E Marks; Samantha M Thomas; Oluwadamilola M Fayanju; Gayle DiLalla; Sarah Sammons; E Shelley Hwang; Jennifer K Plichta
Journal:  Am J Surg       Date:  2021-07-22       Impact factor: 2.565

  2 in total

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