Establishment and Validation of Novel Clinical Prognosis Nomograms for Luminal A Breast Cancer Patients with Bone Metastasis

Tu, Qihao; Hu, Chuan; Zhang, Hao; Chen, Peng; Kong, Meng; Song, Mengxiong; Zhao, Chong; Wang, YuJue; Li, Jianyi; Wang, Chao; Ma, Xuexiao

doi:10.1155/2020/1972064

Cited by 12 publications

(11 citation statements)

References 41 publications

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“…A significant difference in survival was not revealed among various races, which was congruent with some previous studies ( 13 , 17 ). However, other studies found race was an independent prognostic factor among BC with bone metastasis ( 15 , 16 ). Tumor grade is usually recognized as an independent risk factor for the prognosis of BC ( 16 , 18 ).…”

Section: Discussionmentioning

confidence: 85%

“…On the whole, the prognosis of male BC with bone metastasis (3-year OS and CSS rates: 36.7% and 39.5%) was worse than that of female patients (3-year OS and CSS rates: 51.7% and 53.6%) ( 13 ), suggesting that the prognosis and treatments of such patients need more attention. Previous studies indicated that older BC patients were prone to bone metastasis ( 14 ) and age was an important independent predictor of survival ( 15 , 16 ). Our multivariable results also highlighted this finding in male BC patients with bone metastasis.…”

Section: Discussionmentioning

confidence: 99%

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Survival Analysis in Male Breast Cancer With Bone Metastasis Based on the SEER Database

et al. 2022

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PurposeBreast cancer (BC) has been extensively and deeply studied as the number one malignant tumor in women, but its status in male patients, especially in male metastatic patients, is rarely reported. Thus, this study aimed to explore the prognosis and risk factors of male BC with bone metastasis.Patients and MethodsWe searched the Surveillance, Epidemiology, and End Results (SEER) database to identify all patients diagnosed with male BC with bone metastasis from 2010 to 2016. Risk factors of overall survival (OS) and cancer-specific survival (CSS) were analyzed by univariable and multivariable Cox analyses. We also drew Kaplan–Meier plots to show the correlation between independent risk factors and survival.ResultsA total of 207 male BC patients with bone metastasis were included for analysis. Approximately one-third of patients also had lung metastasis. Luminal A subtype comprised 58.5% of the overall patient population. These patients had a poor prognosis, with 3-year OS and CSS rates, 36.7% and 39.5%, respectively. Further analysis revealed that age ≤60 years old, luminal A or B, and surgery were independent predictors of prolonged OS and CSS. On Cox multivariable analysis, brain metastasis was associated with OS and not CSS.ConclusionWe identified four independent factors associated with prognosis in male BC patients with bone metastasis, namely age, tumor subtype, surgery, and brain metastasis. Knowing these risk factors will help clinicians make more appropriate treatment plans.

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Section: Discussionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Survival Analysis in Male Breast Cancer With Bone Metastasis Based on the SEER Database

et al. 2022

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“…The nomogram is an intuitive graphical prediction model that provides an accurate, personalized prediction of risk for each individual. 16 Although several nomograms have been established for NAFLD, to our knowledge, a nomogram that predicts the 2-year risk of NAFLD in the non-obese population with normal blood lipid levels has not been reported. Therefore, in this study, we developed and validated a nomogram based on independent predictors to better assess the 2-year risk of NAFLD in the non-obese population with normal blood lipid levels.…”

Section: Introductionmentioning

confidence: 99%

Application of a Novel Prediction Model for Predicting 2-Year Risk of Non-Alcoholic Fatty Liver Disease in the Non-Obese Population with Normal Blood Lipid Levels: A Large Prospective Cohort Study from China

Ji¹,

Cai²,

Bai³

et al. 2021

IJGM

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Purpose The purpose of this study was to develop and validate a nomogram to better assess the 2-year risk of non-alcoholic fatty liver disease (NAFLD) in non-obese population with normal blood lipid levels. Patients and Methods This study was a secondary analysis of a prospective study. We included 3659 non-obese adults with normal blood lipid levels without NAFLD at baseline. A total of 2744 participants were included in the development cohort and 915 participants were included in the validation cohort. The least absolute contraction selection operator (LASSO) regression model was used to identify the best risk factors. Multivariate Cox regression analysis was used to construct the prediction model. The performance of the prediction model was assessed using Harrell’s consistency index (C-index), area under the receiver operating characteristic (AUROC) curve and calibration curve. Decision curve analysis was applied to evaluate the clinical usefulness of the prediction model. Results After LASSO regression analysis and multivariate Cox regression analysis on the development cohort, BMI, TG, DBIL, ALT and GGT were found to be risk predictors and were integrated into the nomogram. The C-index of development cohort and validation cohort was 0.819 (95% CI, 0.798 to 0.840) and 0.815 (95% CI, 0.781 to 0.849), respectively. The AUROC of 2-year NAFLD risk in the development cohort and validation cohort was 0.831 (95% CI, 0.811 to 0.851) and 0.797 (95% CI, 0.765 to 0.829), respectively. From calibration curves, the nomogram showed a good agreement between predicted and actual probabilities. The decision curve analysis indicated that application of the nomogram is more effective than the intervention-for-all-patients scheme. Conclusion We developed and validated a nomogram for predicting 2-year risk of NAFLD in the non-obese population with normal blood lipid levels.

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“…Clinicopathological data, laboratory tests, and genomic data were confirmed as prognostic predictors for BCBM patients, [8][9][10][11][12][13][14][15][16] and several studies aimed to develop prognostic nomograms for BCBM patients. 6,[16][17][18][19] However, elderly BC patients have their own unique characteristics, which suggested that we need to conduct a specific study for this special population. [20][21][22] In this study, we obtained population-based data of BC patients to investigate the characteristics of elderly BC patients and aimed to establish two novel nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) of elderly BCBM patients.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of Prognostic Nomogram for Elderly Breast Cancer: A Large-Cohort Retrospective Study

Li¹,

Zhang²

2022

IJGM

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Purpose: Our research aims to study the bone metastatic patterns and prognostic outcomes in elderly breast cancer (BC) and to develop elder-specific nomograms. Methods: We downloaded the data of BC patients between 2010 and 2016 from the Surveillance, Epidemiology, and End Results database. The differences in clinical features and prognosis between young (age < 65) and elderly (age ≥ 65) BC patients were compared. The univariate and multivariate Cox analyses were used to determine the overall survival (OS)-and cancer-specific survival (CSS)-related variables and establish two nomograms of BC patients with bone metastasis (BCBM). The receiver operating characteristic (ROC) curve with area under the curve (AUC), calibration curve, decision curve analysis (DCA), and Kaplan-Meier survival curve were selected to evaluate nomograms. Results: A total of 230,177 BC patients were enrolled in our research, including 142,025 young and 88,152 elderly patients. The prognosis of elderly BCBM patients was significantly worse than young patients. Age, race, breast subtype, tumor size, tumor grade, brain metastasis, liver metastasis, surgery, and chemotherapy were independent prognostic variables for elderly BCBM patients, including OS and CSS. The AUC values at 12, 18, and 24 months were 0.750, 0.751, and 0.739 for OS nomogram and 0.759, 0.762, and 0.752 for CSS nomogram in the training cohort, which were higher than the AUC values of all single independent prognostic variables. The survival curve showed a distinct prognosis between low-, median-and high-risk groups (p < 0.001). Finally, calibration curves and DCA indicated that both nomograms have favorable performance. Conclusion:Elderly and young patients presented with different bone metastatic frequencies, clinical features, and prognostic outcomes. Two elder-specific nomograms incorporating nine clinical variables were established and validated to be a valuable predictor for elderly BCBM patients.

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Establishment and Validation of Novel Clinical Prognosis Nomograms for Luminal A Breast Cancer Patients with Bone Metastasis

Cited by 12 publications

References 41 publications

Survival Analysis in Male Breast Cancer With Bone Metastasis Based on the SEER Database

Survival Analysis in Male Breast Cancer With Bone Metastasis Based on the SEER Database

Application of a Novel Prediction Model for Predicting 2-Year Risk of Non-Alcoholic Fatty Liver Disease in the Non-Obese Population with Normal Blood Lipid Levels: A Large Prospective Cohort Study from China

Development and Validation of Prognostic Nomogram for Elderly Breast Cancer: A Large-Cohort Retrospective Study

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