Nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a SEER population-based study

The clinicopathological features of inflammatory breast carcinoma (IBC), the effect of therapeutic options on survival outcome and the identification of prognostic factors were investigated in this study. Information on IBC patients were extracted from the Surveillance, Epidemiology, and End Results...

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Main Authors: Haige Zhang, Guifen Ma, Shisuo Du, Jing Sun, Qian Zhang, Baoying Yuan, Xiaoyong Luo
Format: Article
Language:English
Published: PeerJ Inc. 2019-09-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/7659.pdf
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spelling doaj-fc637c0684df4c5a9c11fab684ecbc132020-11-24T22:16:22ZengPeerJ Inc.PeerJ2167-83592019-09-017e765910.7717/peerj.7659Nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a SEER population-based studyHaige Zhang0Guifen Ma1Shisuo Du2Jing Sun3Qian Zhang4Baoying Yuan5Xiaoyong Luo6Department of Radiation Oncology, Luoyang Central Hospital affiliated to Zhengzhou University, Luoyang, ChinaDepartment of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, ChinaDepartment of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, ChinaDepartment of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, ChinaDepartment of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, ChinaDepartment of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, ChinaDepartment of Radiation Oncology, Luoyang Central Hospital affiliated to Zhengzhou University, Luoyang, ChinaThe clinicopathological features of inflammatory breast carcinoma (IBC), the effect of therapeutic options on survival outcome and the identification of prognostic factors were investigated in this study. Information on IBC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. Cox proportional hazard regression was used to determine potential significant prognostic factors of IBC. A nomogram was then constructed to evaluate patient survival based on certain variables. Univariate and multivariate analyses revealed that race (p < 0.001), M stage (p < 0.001), surgery (p = 0.010), chemotherapy (CT) (p < 0.001), tumor size (p = 0.010), estrogen receptor (p < 0.001), progesterone receptor (p = 0.04), and human epidermal growth factor receptor 2 (p < 0.001) were all independent risk factors. The concordance index (C-index) of the nomogram was 0.735, which showed good predictive efficiency. Survival analysis indicated that IBC patients without CT had poorer survival than those with CT (p < 0.001). Stratified analyses showed that modified radical mastectomy (MRM) had significant survival advantages over non-MRM in patients with stage IV IBC (p = 0.031). Patients treated with or without CT stratified by stage III and stage IV showed better survival than those without stage III and IV (p < 0.001). Trimodality therapy resulted in better survival than surgery combined with CT or CT alone (p < 0.001). Competing risk analysis also showed the same results. The nomogram was effectively applied to predict the 1, 3 and 5-year survival of IBC. Our nomogram showed relatively good accuracy with a C-index of 0.735 and is a visualized individually predictive tool for prognosis. Treatment strategy greatly affected the survival of patients. Trimodality therapy was the preferable therapeutic strategy for IBC. Further prospective studies are needed to validate these findings.https://peerj.com/articles/7659.pdfInflammatory breast carcinomaPrognostic factorSEERCancer specific survivalNomogram
collection DOAJ
language English
format Article
sources DOAJ
author Haige Zhang
Guifen Ma
Shisuo Du
Jing Sun
Qian Zhang
Baoying Yuan
Xiaoyong Luo
spellingShingle Haige Zhang
Guifen Ma
Shisuo Du
Jing Sun
Qian Zhang
Baoying Yuan
Xiaoyong Luo
Nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a SEER population-based study
PeerJ
Inflammatory breast carcinoma
Prognostic factor
SEER
Cancer specific survival
Nomogram
author_facet Haige Zhang
Guifen Ma
Shisuo Du
Jing Sun
Qian Zhang
Baoying Yuan
Xiaoyong Luo
author_sort Haige Zhang
title Nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a SEER population-based study
title_short Nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a SEER population-based study
title_full Nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a SEER population-based study
title_fullStr Nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a SEER population-based study
title_full_unstemmed Nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a SEER population-based study
title_sort nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a seer population-based study
publisher PeerJ Inc.
series PeerJ
issn 2167-8359
publishDate 2019-09-01
description The clinicopathological features of inflammatory breast carcinoma (IBC), the effect of therapeutic options on survival outcome and the identification of prognostic factors were investigated in this study. Information on IBC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. Cox proportional hazard regression was used to determine potential significant prognostic factors of IBC. A nomogram was then constructed to evaluate patient survival based on certain variables. Univariate and multivariate analyses revealed that race (p < 0.001), M stage (p < 0.001), surgery (p = 0.010), chemotherapy (CT) (p < 0.001), tumor size (p = 0.010), estrogen receptor (p < 0.001), progesterone receptor (p = 0.04), and human epidermal growth factor receptor 2 (p < 0.001) were all independent risk factors. The concordance index (C-index) of the nomogram was 0.735, which showed good predictive efficiency. Survival analysis indicated that IBC patients without CT had poorer survival than those with CT (p < 0.001). Stratified analyses showed that modified radical mastectomy (MRM) had significant survival advantages over non-MRM in patients with stage IV IBC (p = 0.031). Patients treated with or without CT stratified by stage III and stage IV showed better survival than those without stage III and IV (p < 0.001). Trimodality therapy resulted in better survival than surgery combined with CT or CT alone (p < 0.001). Competing risk analysis also showed the same results. The nomogram was effectively applied to predict the 1, 3 and 5-year survival of IBC. Our nomogram showed relatively good accuracy with a C-index of 0.735 and is a visualized individually predictive tool for prognosis. Treatment strategy greatly affected the survival of patients. Trimodality therapy was the preferable therapeutic strategy for IBC. Further prospective studies are needed to validate these findings.
topic Inflammatory breast carcinoma
Prognostic factor
SEER
Cancer specific survival
Nomogram
url https://peerj.com/articles/7659.pdf
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