Correction: Effect of Age and Biological Subtype on the Risk and Timing of Brain Metastasis in Breast Cancer Patients

نویسندگان

  • Man-Hsin Hung
  • Chun-Yu Liu
  • Cheng-Ying Shiau
  • Chin-Yi Hsu
  • Yi-Fang Tsai
  • Yu-Ling Wang
  • Ling-Chen Tai
  • Kuang-Liang King
  • Ta-Chung Chao
  • Jen-Hwey Chiu
  • Cheng-Hsi Su
  • Su-Shun Lo
  • Cheng-Hwai Tzeng
  • Yi-Ming Shyr
  • Ling-Ming Tseng
چکیده

BACKGROUND Brain metastasis is a major complication of breast cancer. This study aimed to analyze the effect of age and biological subtype on the risk and timing of brain metastasis in breast cancer patients. PATIENTS AND METHODS We identified subtypes of invasive ductal carcinoma of the breast by determining estrogen receptor, progesterone receptor and HER2 status. Time to brain metastasis according to age and cancer subtype was analyzed by Cox proportional hazard analysis. RESULTS Of the 2248 eligible patients, 164 (7.3%) developed brain metastasis over a median follow-up of 54.2 months. Age 35 or younger, HER2-enriched subtype, and triple-negative breast cancer were significant risk factors of brain metastasis. Among patients aged 35 or younger, the risk of brain metastasis was independent of biological subtype (P = 0.507). Among patients aged 36-59 or >60 years, those with triple-negative or HER2-enriched subtypes had consistently increased risk of brain metastasis, as compared with those with luminal A tumors. Patients with luminal B tumors had higher risk of brain metastasis than luminal A only in patients >60 years. CONCLUSIONS Breast cancer subtypes are associated with differing risks of brain metastasis among different age groups. Patients age 35 or younger are particularly at risk of brain metastasis independent of biological subtype.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Analyzing the Survival of Patients with Breast Cancer with a Multistate Model

Introduction: Breast cancer is the second most common cancer and one of the most common causes of death in women. Metastasis is also a challenge for breast cancer patients, affecting their survival. This study aimed to determine the survival rate and measure the factors affecting the progression of the disease from the time of diagnosis by considering metastasis as an intermediate condition usi...

متن کامل

تعیین الگوی بروز متاستازهای سرطان پستان وتعیین عوامل پیش آگهی دهنده توسط مدل شرطی PWP

  Background and Aim : identifying the risk factors for metastasis is major concern for treatment processes of cancer patients. Metastasis makes patients frail and increase hazard of death. It also decreases physical and psychological quality of life of patients. Aim of this study is determining of prognostic factors for metastasis of breast cancer using conditional regression model.   Material...

متن کامل

بررسی فراوانی حضور مارکر ایمونوهیستوشیمی فروپورتین در نمونه‌های به‌دست‌آمده از بافت سرطانی بیماران مبتلا به سرطان پستان و ارتباط آن با فاکتورهای پروگنوستیک

 Background & Aims: Breast cancer is the most prevalent malignancy in women. A few articles describe a marked decrease in the levels of ferroportin in breast cancer cells.The presented results demonstrate convincingly the incredible diagnostic and prognostic value of ferroportin expression in breast cancer and suggest that determination of this molecular marker maybe used as guidance toward ind...

متن کامل

Effect of hormone receptors and Her-2 status on metastasis status in patients with breast cancer using logistic regression model

Introduction: Breast cancer is the most common type of cancer and the leading cause of cancer death among women. According to estimates in 2018, the most frequency of cancer in Iranian women was related to breast cancer with 13776 (12.5%) new cases. Metastasis is a complication of this disease that occurs in 1%-5% of patients. The aim of this study was to investigate the effect of hormone recep...

متن کامل

Application of the Weibull Accelerated Failure Time Model in the Determination of Disease-Free Survival Rate of Patients with Breast Cancer

Background and Purpose: The goal of this study is application of the proportional hazards model (PH) and accelerated failure time model (AFT), with consideration Weibull distribution, to determine the level of effectiveness of the factors affecting on the level of disease-free survival (DFS) of the patients with breast cancer. Materials and Methods: Based on the retrospective descriptive stu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2014