Interrelationships Between Ki67, HER2/neu, p53, ER, and PR Status and Their Associations With Tumor Grade and Lymph Node Involvement in Breast Carcinoma Subtypes

Taghipour Zahir Shokouh, Aalipour Ezatollah, Poorya Barand
  • Medicine, August 2015, Wolters Kluwer Health
  • DOI: 10.1097/md.0000000000001359

Predictive and Prognostic Factors of Breast Carcinoma

What is it about?

Various predictive and prognostic factors could affect breast carcinoma behavior, but to date no definitive correlation has been established between them and breast carcinoma subtypes. The present study was conducted to examine the interrelationships of these predictive and prognostic factors as well as their effects on breast carcinoma subtypes.

Why is it important?

Breast cancer patients with higher Ki67 expression showed more HER2/neu overexpression, and these cancers may be identified as aggressive tumors. Moreover, in young patients with breast carcinoma, the rates of Ki67 with overexpression of HER2/neu and p53 mutation were higher, and it is shown to be indicative of a more invasive tumor and a higher frequency of metastasis. However, p53 mutation was seen with higher tumor grades, but no significant correlation was obtained between its status and lymph node involvement, so its role in the progression of tumors remains unclear.


Mr Ezatollah Aalipour
Shahid Sadoughi University of Medical Saciences

Breast cancer is the most common cancer among women with a significantly reduced mortality rate in recent years due to its early diagnosis and the advanced methods of treatment available; however, it is still the second cause of death from cancer in women in Europe and Western countries, preceded only by lung cancer. In fact, the age of breast cancer incidence has reduced in the last few years from the fourth decade of life to the second and third decades. Various predictive and prognostic factors affect the course of the disease. Predictive factors are distinguished from prognostic factors in that the latter can be measured and is associated with the nature of the disease while the former determines the response to treatments. Some factors are both prognostic and predictive, including ER status, PR status, p53 mutation status, and Her2neu over-expression. Prognostic factors include the type of tumor, number of involved lymph nodes at the time of tumor diagnosis, size of the tumor, tumor grade, ki67 status and the patient's age. Numerous studies have been conducted on these prognostic factors and their relationship with one another; however, the studies have reported disparate results . The present study was therefore conducted to analyze cases of breast cancer in a university medical center in an effort to find a logical relationship between the type of tumor and these predictive and prognostic factors and perhaps even find a better diagnostic method that increases the patients’ longevity and improves their quality of life.

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The following have contributed to this page: Professor shokouh Taghipour zahir, Mr Ezatollah Aalipour, and mr poorya barand