Incidence and clinicopathological characteristics of breast cancer patients from a single center study
HTML: 14
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Chronic diseases may be associated with adverse clinical characteristics of breast cancer outcomes. This study determined the descriptive association of some chronic diseases and clinicopathological characteristics of breast cancer patients in women diagnosed in a single center in Jeddah, KSA. Retrospective data of 196 patients diagnosed with breast cancer (from 2015-2021) was analyzed. Demographics, patients’ health conditions, and tumor properties were investigated. Most women diagnosed with breast cancer were 40-69 years of age. Women with a body mass index (BMI) classification of overweight/obese were extremely significantly more than those who were classified as lean. The tumors reported show that a significant number of samples (87.0%) had tumors between T1 and T2. Significantly more tumors (61.0%) were of grade V, and ~81.0% were histopathologically classified as invasive ductal carcinoma. A significant majority of breast cancers in this population were human epidermal growth factor receptor 2 negative (70%), progesterone receptor positive (58%), and non-triple negative (~93%). In these patients, a BMI classification of overweight/obese is possibly associated with breast cancer. Awareness and knowledge about the correlation of breast cancer with obesity may help to reduce or delay its presence.
Downloads
PlumX Metrics
PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.
How to Cite
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.