breast-cancer-and-cancer-science-2019-posters-abstracts

Page 23

J Can Res Metastasis, Volume 3

September 16-17, 2019 | Edinburgh, Scotland

Volume 3

Breast Cancer 2019 & Cancer Science 2019

September 16-17, 2019

Journal of Cancer & Metastasis Research

BREAST CANCER

CANCER SCIENCE AND THERAPY

World Congress on

Risk factors effect on survival of breast cancer females after recurrence

Madiha Liaqat

University of the Punjab, Pakistan

Statement of the Problem

: Women having HER2 positive have a high low survival rate. With all the risk factors including

family history, obesity, late or no pregnancy and age, biomarkers such as ER, PR and Her2.neu consider to make prediction of

women’s survival. Usually recurrence occurs, previous researches have shown that after recurrence chances of survival decline.

But till now no research has shown overall solid results of all the risk factors on survival by including biomarkers. The purpose

of this study is to make solid conclusion after applying statistical methods on data collected from the last five years’ cases of

breast cancer, parameters are all the risk factors, biomarkers and targeted therapy. The main motivation behind this work is

application of modeling to breast cancer data, in order to investigate the abilities of potential biomarkers of breast cancer with

other parameters to predict patients’ survival.

Methodology & Theoretical Orientation

: It is a retrospective study, in this study patients’ followed for 7 years. Sample size of

study is 580. Graphs use to show relationship between different variables. Survival analysis tools and techniques use to depict

patients’ survival based on different variables.

Conclusion & Significance

: Many variables have significant effect on survival. But many others like ER has not significant

effect. Middle ages women have higher probability of death, even after treatment. Recurrence also have significant effect.

Biography

Madiha Liaqat is a biostatistician doing PhD in Statistics from university of the Punjab, Lahore, Pakistan. She is working on breast

cancer, and are developing new statistical tools and techniques which can be used to precisely predict patient's recurrence and survival.