Prognostic factors of triple-negative inflammatory breast cancer based on SEER database

Objective To investigate the clinicopathological features and survival prognostic factors of patients with triple-negative inflammatory breast cancer (TNIBC). Methods The data of patients with TNIBC from 2010 to 2015 were obtained from SEER database, and univariate analysis, multivariate analysis and Kaplan-Meier survival analysis were performed using the “survival” package in R statistical software. Results A total of 4 268 cases of inflammatory breast cancer were collected, including 1 023 cases of triple-negative subtype. Compared with non-TNIBC patients,TNIBC patients had a lower proportion of whites in ethnic distribution, a higher proportion of histological grade Ⅲ, a higher proportion of AJCC stage Ⅲ, and more patients without distant metastases, and more likely to receive chemotherapy (P<0.05). Univariate Cox analysis showed that laterality, tumor diameter, AJCC stage, M stage, surgery and chemotherapy may be the influencing factors of overall survival (OS) (P<0.05). Multivariate Cox analysis showed that laterality, tumor diameter and surgery were independent risk factors for OS in TNIBC patients, and the smaller the tumor (28-989 mm, HR=1.565, 95%CI: 1.061-2.309, P=0.024; >989 mm, HR=1.911, 95%CI: 1.205-3.030, P=0.006), locating in the right side (HR=0.719, 95%CI: 0.560-0.923, P=0.010), and the surgical treatment (HR=0.609, 95%CI: 0.423-0.876, P=0.008) were associated with better prognosis. Conclusion Laterality, tumor diameter, and surgery are independent influencing factors for survival prognosis in patients with TNIBC, and the smaller the tumor, locating in the right side, and surgery are associated with better prognosis.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
DOI
https://doi.org/10.13429/j.cnki.cjcr.2024.10.006
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic factors of triple-negative inflammatory breast cancer based on SEER database

SHILAP Revista de lepidopterología
Cell Image Analysis Techniques
article

Prognostic factors of triple-negative inflammatory breast cancer based on SEER database

article en

Abstract

Objective To investigate the clinicopathological features and survival prognostic factors of patients with triple-negative inflammatory breast cancer (TNIBC). Methods The data of patients with TNIBC from 2010 to 2015 were obtained from SEER database, and univariate analysis, multivariate analysis and Kaplan-Meier survival analysis were performed using the “survival” package in R statistical software. Results A total of 4 268 cases of inflammatory breast cancer were collected, including 1 023 cases of triple-negative subtype. Compared with non-TNIBC patients,TNIBC patients had a lower proportion of whites in ethnic distribution, a higher proportion of histological grade Ⅲ, a higher proportion of AJCC stage Ⅲ, and more patients without distant metastases, and more likely to receive chemotherapy (P<0.05). Univariate Cox analysis showed that laterality, tumor diameter, AJCC stage, M stage, surgery and chemotherapy may be the influencing factors of overall survival (OS) (P<0.05). Multivariate Cox analysis showed that laterality, tumor diameter and surgery were independent risk factors for OS in TNIBC patients, and the smaller the tumor (28-989 mm, HR=1.565, 95%CI: 1.061-2.309, P=0.024; >989 mm, HR=1.911, 95%CI: 1.205-3.030, P=0.006), locating in the right side (HR=0.719, 95%CI: 0.560-0.923, P=0.010), and the surgical treatment (HR=0.609, 95%CI: 0.423-0.876, P=0.008) were associated with better prognosis. Conclusion Laterality, tumor diameter, and surgery are independent influencing factors for survival prognosis in patients with TNIBC, and the smaller the tumor, locating in the right side, and surgery are associated with better prognosis.

SHILAP Revista de lepidopterología
Nanjing Drum Tower Hospital (CN)
Good health and well-being
Openalex Percentile: Top 49%
Cell Image Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Prognostic factors of triple-negative inflammatory breast cancer based on SEER database · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS