4.3 Article

Construction and validation of prognostic nomogram for metaplastic breast cancer

Journal

BOSNIAN JOURNAL OF BASIC MEDICAL SCIENCES
Volume 22, Issue 1, Pages 131-139

Publisher

ASSOC BASIC MEDICAL SCI FEDERATION BOSNIA & HERZEGOVINA SARAJEVO
DOI: 10.17305/bjbms.2021.5911

Keywords

Metaplastic breast cancer; nomogram; overall survival; cancer-specific survival

Funding

  1. Zhejiang Provincial Health Department Foundation [2018ky284]
  2. Natural Science Foundation of Zhejiang Province [LQ17H160013]

Ask authors/readers for more resources

This study aimed to develop nomogram models for predicting overall survival and cancer-specific survival of patients with metaplastic breast carcinoma (MBC). The study collected data from 1973 to 2015 and used Cox analyses and calibration plots to evaluate model performance. The results showed that the nomogram models had good accuracy in predicting patient survival.
In this study, we aimed to develop nomogram models for predicting the overall survival (OS) and cancer-specific survival (CSS) of patients with metaplastic breast carcinoma (MBC). Data of patients diagnosed with MBC from 1973 to 2015 were collected from the Surveillance, Epidemiology, and End Results database. Univariate and multivariate Cox analyses were performed to identify independent prognostic factors for OS and CSS of MBC patients. The obtained prognostic variables were combined to construct nomogram models for predicting OS and CSS in patients with MBC. Model performance was evaluated using concordance index (C-index) and calibration plots. Data from 1125 patients were collected and divided into a training (750) and a validation (375) cohort. The multivariate Cox model identified age, TNM stage, tumor size, and radiotherapy as independent covariates associated with OS and CSS. The nomogram constructed based on these covariates demon-strated excellent accuracy in estimating 3-, and 5-year OS and CSS, with a C-index of 0.769 (95% confidence interval [CI], 0.731-0.808) for OS and 0.761 (95% CI, 0.713-0.809) for CSS in the training cohort. In the validation cohort, the nomogram-predicted C-index was 0.738 (95% CI, 0.676-0.800) for OS and 0.747 (95% CI, 0.667-0.827) for CSS. All calibration curves exhibited good consistency between predicted and actual survival. The nomogram models established in this study may enhance the accuracy of prognosis prediction and therefore may improve indi-vidualized assessment of survival risks and enable constructive therapeutic suggestions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available