Intraductal papillary carcinoma of breast with invasion: A nomogram and survival from the analysis of the SEER database
Abstract Background Intraductal papillary carcinoma (IPC) with invasion is a rare type of breast cancer. There have been few studies on its prognosis, and a nomogram that predicts the prognosis of the disease has not been described to date. Methods Patients who were diagnosed with invasive IPC were...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Cancer Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/cam4.5007 |
| _version_ | 1811176417922121728 |
|---|---|
| author | Chenguang Liu Shiyang Liu Lu Zhao Weihong Zheng Kun Wang Yao Tian Zhengwei Gui Lin Zhang |
| author_facet | Chenguang Liu Shiyang Liu Lu Zhao Weihong Zheng Kun Wang Yao Tian Zhengwei Gui Lin Zhang |
| author_sort | Chenguang Liu |
| collection | DOAJ |
| description | Abstract Background Intraductal papillary carcinoma (IPC) with invasion is a rare type of breast cancer. There have been few studies on its prognosis, and a nomogram that predicts the prognosis of the disease has not been described to date. Methods Patients who were diagnosed with invasive IPC were screened from the Surveillance, Epidemiology, and End Results (SEER) database. The screened patients were randomly divided into a training cohort and a verification cohort at 7:3. A Cox proportional hazard regression model was performed to analyze the effects of different variables on the risk of death in invasive IPC. A nomogram was constructed to quantify the possibility of death. The concordance index (C‐index), calibration plots, receiver operating characteristic (ROC) curves, and decision curves analysis (DCA) were used to verify the proposed model. Results We included a total of 803 patients diagnosed with invasive IPC, including 563 patients in the training cohort and 240 patients in the validation cohort. The median follow‐up times in the training cohort and validation cohort were 63 months (range, 2–155 months) and 61 months (range, 1–154 months), respectively. For all patients, the probability of death with invasive IPC was 1.4% within 5 years and 5.4% within 10 years. In multivariate analysis, sex, race, tumor size, lymph node status, type of treatment, and chemotherapy were related to the prognosis of invasive IPC. We constructed a nomogram to predict the possibility of death in patients with invasive IPC. Conclusion Patients with invasive IPC had a high survival rate. The proven nomogram was helpful to both patients and clinical decision makers. |
| first_indexed | 2024-04-10T19:52:17Z |
| format | Article |
| id | doaj.art-eb13f9e11d564e06b47b99c2cd15bce7 |
| institution | Directory Open Access Journal |
| issn | 2045-7634 |
| language | English |
| last_indexed | 2024-04-10T19:52:17Z |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj.art-eb13f9e11d564e06b47b99c2cd15bce72023-01-28T05:30:04ZengWileyCancer Medicine2045-76342023-01-011221305131810.1002/cam4.5007Intraductal papillary carcinoma of breast with invasion: A nomogram and survival from the analysis of the SEER databaseChenguang Liu0Shiyang Liu1Lu Zhao2Weihong Zheng3Kun Wang4Yao Tian5Zhengwei Gui6Lin Zhang7Department of Thyroid and Breast Surgery Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology Wuhan ChinaDepartment of Thyroid and Breast Surgery Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology Wuhan ChinaDepartment of Thyroid and Breast Surgery Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology Wuhan ChinaDepartment of Thyroid and Breast Surgery Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology Wuhan ChinaDepartment of Thyroid and Breast Surgery Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology Wuhan ChinaDepartment of Thyroid and Breast Surgery Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology Wuhan ChinaDepartment of Thyroid and Breast Surgery Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology Wuhan ChinaDepartment of Thyroid and Breast Surgery Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology Wuhan ChinaAbstract Background Intraductal papillary carcinoma (IPC) with invasion is a rare type of breast cancer. There have been few studies on its prognosis, and a nomogram that predicts the prognosis of the disease has not been described to date. Methods Patients who were diagnosed with invasive IPC were screened from the Surveillance, Epidemiology, and End Results (SEER) database. The screened patients were randomly divided into a training cohort and a verification cohort at 7:3. A Cox proportional hazard regression model was performed to analyze the effects of different variables on the risk of death in invasive IPC. A nomogram was constructed to quantify the possibility of death. The concordance index (C‐index), calibration plots, receiver operating characteristic (ROC) curves, and decision curves analysis (DCA) were used to verify the proposed model. Results We included a total of 803 patients diagnosed with invasive IPC, including 563 patients in the training cohort and 240 patients in the validation cohort. The median follow‐up times in the training cohort and validation cohort were 63 months (range, 2–155 months) and 61 months (range, 1–154 months), respectively. For all patients, the probability of death with invasive IPC was 1.4% within 5 years and 5.4% within 10 years. In multivariate analysis, sex, race, tumor size, lymph node status, type of treatment, and chemotherapy were related to the prognosis of invasive IPC. We constructed a nomogram to predict the possibility of death in patients with invasive IPC. Conclusion Patients with invasive IPC had a high survival rate. The proven nomogram was helpful to both patients and clinical decision makers.https://doi.org/10.1002/cam4.5007intraductal papillary carcinomainvasionnomogramprognosisSEER |
| spellingShingle | Chenguang Liu Shiyang Liu Lu Zhao Weihong Zheng Kun Wang Yao Tian Zhengwei Gui Lin Zhang Intraductal papillary carcinoma of breast with invasion: A nomogram and survival from the analysis of the SEER database Cancer Medicine intraductal papillary carcinoma invasion nomogram prognosis SEER |
| title | Intraductal papillary carcinoma of breast with invasion: A nomogram and survival from the analysis of the SEER database |
| title_full | Intraductal papillary carcinoma of breast with invasion: A nomogram and survival from the analysis of the SEER database |
| title_fullStr | Intraductal papillary carcinoma of breast with invasion: A nomogram and survival from the analysis of the SEER database |
| title_full_unstemmed | Intraductal papillary carcinoma of breast with invasion: A nomogram and survival from the analysis of the SEER database |
| title_short | Intraductal papillary carcinoma of breast with invasion: A nomogram and survival from the analysis of the SEER database |
| title_sort | intraductal papillary carcinoma of breast with invasion a nomogram and survival from the analysis of the seer database |
| topic | intraductal papillary carcinoma invasion nomogram prognosis SEER |
| url | https://doi.org/10.1002/cam4.5007 |
| work_keys_str_mv | AT chenguangliu intraductalpapillarycarcinomaofbreastwithinvasionanomogramandsurvivalfromtheanalysisoftheseerdatabase AT shiyangliu intraductalpapillarycarcinomaofbreastwithinvasionanomogramandsurvivalfromtheanalysisoftheseerdatabase AT luzhao intraductalpapillarycarcinomaofbreastwithinvasionanomogramandsurvivalfromtheanalysisoftheseerdatabase AT weihongzheng intraductalpapillarycarcinomaofbreastwithinvasionanomogramandsurvivalfromtheanalysisoftheseerdatabase AT kunwang intraductalpapillarycarcinomaofbreastwithinvasionanomogramandsurvivalfromtheanalysisoftheseerdatabase AT yaotian intraductalpapillarycarcinomaofbreastwithinvasionanomogramandsurvivalfromtheanalysisoftheseerdatabase AT zhengweigui intraductalpapillarycarcinomaofbreastwithinvasionanomogramandsurvivalfromtheanalysisoftheseerdatabase AT linzhang intraductalpapillarycarcinomaofbreastwithinvasionanomogramandsurvivalfromtheanalysisoftheseerdatabase |