PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
July 27, 2024International Journal of Health Sciences1 citationsOpen Access

Ki-67 expression and its correlation with clinicopathological parameters in Iraqi breast cancer patients

View Full Paper
AHAmmar Ahmed HusseinRBRayah BabanQMQahtan A. Mahdi

Key Points

Key points are not available for this paper at this time.

Abstract

Breast cancer is the most common cancer worldwide and the major cause of cancer-related death among women in both developed and developing countries. In Iraq, breast cancer accounted for 37.9% of all malignant cases in 2020 and 15.3% of cancer-related fatalities. Relevant biomarkers play an important role in predicting prognosis and deciding the most effective therapy for each patient to delay metastases and reduce mortality. Objective: This study aimed to assess the significance of Ki-67 expression as a prognostic biomarker in breast cancer patients as well as investigate the correlations between Ki-67 and their clinicopathological features. Methods: The case-control study comprised sixty newly diagnosed breast cancer patients and ten women with benign breast tumors who served as controls. We assessed the tissue expression level of Ki-67 protein using the immunohistochemistry technique. Results: Our results showed that the median immunohistochemical expression scores of Ki-67 in the newly diagnosed breast cancer group were higher than those of the control group; the difference was significant (p < 0.001). The Ki-67 expression score in breast cancer cells increases with tumor size and grade. Ki-67 expression showed a substantial negative correlation with estrogen receptor expression and a significant positive correlation with HER2 expression.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hussein et al. (2024) studied this question.

synapsesocial.com/papers/68e5ed4cb6db643587581e8dhttps://doi.org/10.53730/ijhs.v8n2.14994
Ask AI
Helpful
Bookmark
Share
View Full Paper