Prediction models for breast cancer prognosis among Asian women. Issue 11 (11th March 2021)
- Record Type:
- Journal Article
- Title:
- Prediction models for breast cancer prognosis among Asian women. Issue 11 (11th March 2021)
- Main Title:
- Prediction models for breast cancer prognosis among Asian women
- Authors:
- Fan, Run
Chen, Yufan
Nechuta, Sarah
Cai, Hui
Gu, Kai
Shi, Liang
Bao, Pingping
Shyr, Yu
Shu, Xiao‐Ou
Ye, Fei - Abstract:
- Abstract : Background: Robust and reliable prognosis prediction models have not been developed and validated for Asian patients with breast cancer, a rapidly growing yet understudied population in the United States. Methods: We used longitudinal data from the Shanghai Breast Cancer Survival Study, a population‐based prospective cohort study (n = 5042), to develop prediction models for 5‐ and 10‐year disease‐free survival (DFS) and overall survival (OS). The initial models considered age at diagnosis, tumor grade, tumor size, number of positive nodes, TNM stage, chemotherapy, tamoxifen therapy, and estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) status. We then evaluated whether the addition of modifiable lifestyle factors (physical activity, soy isoflavones intake, and postdiagnostic weight change) improved the models. All final models have been validated internally and externally in the National Cancer Database when applicable. Results: Our final models included age at diagnosis, tumor grade, tumor size, number of positive nodes, TNM stage, chemotherapy, tamoxifen therapy, ER status, PR status, 6‐month postdiagnostic weight change, interaction between ER status and tamoxifen therapy, and interaction between age and TNM stage. The internal validation yielded C‐statistics of 0.76, 0.74, 0.78, and 0.75 for 5‐year DFS, 10‐year DFS, 5‐year OS, and 10‐year OS, respectively. The external validation yielded C‐statistics of 5‐Abstract : Background: Robust and reliable prognosis prediction models have not been developed and validated for Asian patients with breast cancer, a rapidly growing yet understudied population in the United States. Methods: We used longitudinal data from the Shanghai Breast Cancer Survival Study, a population‐based prospective cohort study (n = 5042), to develop prediction models for 5‐ and 10‐year disease‐free survival (DFS) and overall survival (OS). The initial models considered age at diagnosis, tumor grade, tumor size, number of positive nodes, TNM stage, chemotherapy, tamoxifen therapy, and estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) status. We then evaluated whether the addition of modifiable lifestyle factors (physical activity, soy isoflavones intake, and postdiagnostic weight change) improved the models. All final models have been validated internally and externally in the National Cancer Database when applicable. Results: Our final models included age at diagnosis, tumor grade, tumor size, number of positive nodes, TNM stage, chemotherapy, tamoxifen therapy, ER status, PR status, 6‐month postdiagnostic weight change, interaction between ER status and tamoxifen therapy, and interaction between age and TNM stage. The internal validation yielded C‐statistics of 0.76, 0.74, 0.78, and 0.75 for 5‐year DFS, 10‐year DFS, 5‐year OS, and 10‐year OS, respectively. The external validation yielded C‐statistics of 5‐ and 10‐year OS both at 0.78 for Chinese ethnicity, 0.79 for East Asian ethnicity, and 0.75 and 0.76 for all ethnic groups combined. Conclusion: We developed prediction models for breast cancer prognosis from a large prospective study. Our prognostic models performed very well in women from the United States—particularly in Asian American women—and demonstrated high prediction accuracy and generalizability. Abstract : We developed and validated breast cancer prognosis predictive models for 5‐ and 10‐year overall survival and disease‐free survival using a prospective population‐based cohort study of Asian patients with breast cancer. These models performed well in women from the United States—particularly in Asian American women—and demonstrated high prediction accuracy and generalizability. … (more)
- Is Part Of:
- Cancer. Volume 127:Issue 11(2021)
- Journal:
- Cancer
- Issue:
- Volume 127:Issue 11(2021)
- Issue Display:
- Volume 127, Issue 11 (2021)
- Year:
- 2021
- Volume:
- 127
- Issue:
- 11
- Issue Sort Value:
- 2021-0127-0011-0000
- Page Start:
- 1758
- Page End:
- 1769
- Publication Date:
- 2021-03-11
- Subjects:
- breast cancer prognosis -- disease‐free survival -- lifestyle factors -- model validation -- overall survival -- prediction model
Cancer -- Periodicals
Cancer -- Cytopathology -- Periodicals
616.99405 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0142 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cncr.33425 ↗
- Languages:
- English
- ISSNs:
- 0008-543X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3046.450000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 16765.xml