Prognostic nomogram based on immune scores for breast cancer patients
Abstract Background Increased attention has been focused on cancer immunity gene signature. However, the threshold of immune scores to predict disease‐free survival (DFS) and overall survival (OS) in breast cancer has not yet been defined. This study aimed to explore the association of immune scores...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-09-01
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| Series: | Cancer Medicine |
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| Online Access: | https://doi.org/10.1002/cam4.2428 |
| _version_ | 1811227348397195264 |
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| author | Ju Wang Yanling Li Wenying Fu Ye Zhang Jun Jiang Yi Zhang Xiaowei Qi |
| author_facet | Ju Wang Yanling Li Wenying Fu Ye Zhang Jun Jiang Yi Zhang Xiaowei Qi |
| author_sort | Ju Wang |
| collection | DOAJ |
| description | Abstract Background Increased attention has been focused on cancer immunity gene signature. However, the threshold of immune scores to predict disease‐free survival (DFS) and overall survival (OS) in breast cancer has not yet been defined. This study aimed to explore the association of immune scores with prognosis and build a clinical nomogram to predict the survival of patients with breast cancer. Methods A total of 986 subjects were analyzed, and clinicopathological characteristics and immune scores were obtained from the TCGA database. Cox proportional hazards regression model was used to estimate the adjusted hazard ratios (HRs). Based on results of multivariate analysis, nomograms were built. The models were subjected to bootstrap internal validation. The predictive accuracy and discriminative ability were measured by concordance index (C‐index) and the calibration curve. Results The patients were divided into three subgroups according to their immune scores. We found that compared with patients with low immune scores, those with intermediate and high immune scores had significantly improved DFS (HR and 95% confidence interval [CI]: 0.439 [0.242‐0.799], 0.541 [0.343‐0.855], respectively), whereas only intermediate immune scores significantly indicated better OS (HR and 95% CI: 0.385 [0.163‐0.910]). The C‐index for DFS and OS prediction was 0.723 (95% CI, 0.661‐0.785) and 0.800 (95% CI, 0.724‐0.877), respectively. The calibration curves for probability of 3‐ and 5‐year DFS showed significant agreement between nomogram predictions and the actual observations. Conclusions High and/or intermediate immune scores are significantly correlated with better DFS and OS in patients with breast cancer. Moreover, the nomograms for predicting prognosis may help to estimate the survival of patients. |
| first_indexed | 2024-04-12T09:41:04Z |
| format | Article |
| id | doaj.art-7d93e1fb75cf45f39856b62c6b498500 |
| institution | Directory Open Access Journal |
| issn | 2045-7634 |
| language | English |
| last_indexed | 2024-04-12T09:41:04Z |
| publishDate | 2019-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj.art-7d93e1fb75cf45f39856b62c6b4985002022-12-22T03:38:04ZengWileyCancer Medicine2045-76342019-09-018115214522210.1002/cam4.2428Prognostic nomogram based on immune scores for breast cancer patientsJu Wang0Yanling Li1Wenying Fu2Ye Zhang3Jun Jiang4Yi Zhang5Xiaowei Qi6Department of Epidemiology and Biostatistics, West China School of Public Health Sichuan University Chengdu Sichuan P.R. ChinaDepartment of Breast and Thyroid Surgery, Southwest Hospital Third Military Medical University (Army Medical University) Chongqing P.R. ChinaDepartment of Breast and Thyroid Surgery, Southwest Hospital Third Military Medical University (Army Medical University) Chongqing P.R. ChinaDepartment of Breast and Thyroid Surgery, Southwest Hospital Third Military Medical University (Army Medical University) Chongqing P.R. ChinaDepartment of Breast and Thyroid Surgery, Southwest Hospital Third Military Medical University (Army Medical University) Chongqing P.R. ChinaDepartment of Breast and Thyroid Surgery, Southwest Hospital Third Military Medical University (Army Medical University) Chongqing P.R. ChinaDepartment of Breast and Thyroid Surgery, Southwest Hospital Third Military Medical University (Army Medical University) Chongqing P.R. ChinaAbstract Background Increased attention has been focused on cancer immunity gene signature. However, the threshold of immune scores to predict disease‐free survival (DFS) and overall survival (OS) in breast cancer has not yet been defined. This study aimed to explore the association of immune scores with prognosis and build a clinical nomogram to predict the survival of patients with breast cancer. Methods A total of 986 subjects were analyzed, and clinicopathological characteristics and immune scores were obtained from the TCGA database. Cox proportional hazards regression model was used to estimate the adjusted hazard ratios (HRs). Based on results of multivariate analysis, nomograms were built. The models were subjected to bootstrap internal validation. The predictive accuracy and discriminative ability were measured by concordance index (C‐index) and the calibration curve. Results The patients were divided into three subgroups according to their immune scores. We found that compared with patients with low immune scores, those with intermediate and high immune scores had significantly improved DFS (HR and 95% confidence interval [CI]: 0.439 [0.242‐0.799], 0.541 [0.343‐0.855], respectively), whereas only intermediate immune scores significantly indicated better OS (HR and 95% CI: 0.385 [0.163‐0.910]). The C‐index for DFS and OS prediction was 0.723 (95% CI, 0.661‐0.785) and 0.800 (95% CI, 0.724‐0.877), respectively. The calibration curves for probability of 3‐ and 5‐year DFS showed significant agreement between nomogram predictions and the actual observations. Conclusions High and/or intermediate immune scores are significantly correlated with better DFS and OS in patients with breast cancer. Moreover, the nomograms for predicting prognosis may help to estimate the survival of patients.https://doi.org/10.1002/cam4.2428breast cancerimmune scoresnomogramprognosis |
| spellingShingle | Ju Wang Yanling Li Wenying Fu Ye Zhang Jun Jiang Yi Zhang Xiaowei Qi Prognostic nomogram based on immune scores for breast cancer patients Cancer Medicine breast cancer immune scores nomogram prognosis |
| title | Prognostic nomogram based on immune scores for breast cancer patients |
| title_full | Prognostic nomogram based on immune scores for breast cancer patients |
| title_fullStr | Prognostic nomogram based on immune scores for breast cancer patients |
| title_full_unstemmed | Prognostic nomogram based on immune scores for breast cancer patients |
| title_short | Prognostic nomogram based on immune scores for breast cancer patients |
| title_sort | prognostic nomogram based on immune scores for breast cancer patients |
| topic | breast cancer immune scores nomogram prognosis |
| url | https://doi.org/10.1002/cam4.2428 |
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