Literature DB >> 28194538

The influences of peritumoral lymphatic invasion and vascular invasion on the survival and recurrence according to the molecular subtypes of breast cancer.

Ki-Tae Hwang1, Young A Kim2, Jongjin Kim3, A Jung Chu4, Ji Hyun Chang5, So Won Oh6, Kyu Ri Hwang7, Young Jun Chai3.   

Abstract

PURPOSE: We aimed to compare the influences of lymphatic invasion (LI) and vascular invasion (VI) on survival and recurrence according to the molecular subtypes of breast cancer.
METHODS: We retrospectively analyzed data on 820 breast cancer patients and assessed overall survival (OS) and disease-free survival (DFS) according to LI and VI using the Kaplan-Meier estimator and the Cox proportional hazards model.
RESULTS: Both positive LI and positive VI showed inferior OS and DFS compared with negative LI and negative VI (all p < 0.001). Both positive LI and positive VI showed higher local, regional, and distant recurrence rates (p = 0.002 for regional recurrence of VI, p < 0.001 for all the others). Although LI was a significant independent predictor of OS (hazard ratio [HR] 1.927; 95% confidence interval [CI] 1.046-3.553) and DFS (HR 1.815; 95% CI 1.063-3.096), VI was not in the multivariate analyses. Regarding OS, both positive LI and positive VI showed worse survival rates in the luminal A (p = 0.016 and p = 0.024, respectively) and triple negative subtypes (both p < 0.001). Regarding DFS, LI was a significant prognosticator in the luminal A and triple negative (both p < 0.001) subtypes. VI was a significant prognosticator across all molecular subtypes, although the prognostic impact was most prominent in the luminal A subtype (p < 0.001).
CONCLUSIONS: Both LI and VI were significant, unfavorable prognostic factors of OS and DFS, especially in the luminal A and triple negative breast cancer subtypes. Although LI was a significant independent predictor of OS and DFS, VI was not after the multivariate analyses.

Entities:  

Keywords:  Blood vessels; Breast neoplasms; Lymphatic vessels; Recurrence; Survival

Mesh:

Year:  2017        PMID: 28194538     DOI: 10.1007/s10549-017-4153-4

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  3 in total

1.  Establishment of a model for predicting sentinel lymph node metastasis in early breast cancer based on contrast-enhanced ultrasound and clinicopathological features.

Authors:  Lina Wang; Juntao Li; Jianghua Qiao; Xiaoxia Guo; Xiaolin Bian; Lanwei Guo; Zhenzhen Liu; Zhenduo Lu
Journal:  Gland Surg       Date:  2021-05

2.  Prognostic Nutritional Index (PNI) in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy as a Useful Prognostic Indicator.

Authors:  Li Chen; Ping Bai; Xiangyi Kong; Shaolong Huang; Zhongzhao Wang; Xiangyu Wang; Yi Fang; Jing Wang
Journal:  Front Cell Dev Biol       Date:  2021-03-30

3.  MRI-Based Radiomics for Preoperative Prediction of Lymphovascular Invasion in Patients With Invasive Breast Cancer.

Authors:  Mayidili Nijiati; Diliaremu Aihaiti; Aisikaerjiang Huojia; Abudukeyoumujiang Abulizi; Sailidan Mutailifu; Nueramina Rouzi; Guozhao Dai; Patiman Maimaiti
Journal:  Front Oncol       Date:  2022-06-06       Impact factor: 5.738

  3 in total

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