AlaaAmin552/BRCA-Clinical-Data-Analysis-Egypt-Digital-Pioneers-Graduation-Project

This repository contains my graduation project from Egypt Digital Pioneers. The project focuses on analyzing clinical data for breast cancer (BRCA) patients, utilizing advanced techniques to uncover insights into disease progression and treatment outcomes. This work contributes to ongoing research efforts aimed at improving healthcare solutions # BRCA Clinical and Protein Data ## Description This dataset contains clinical and protein expression data for patients diagnosed with BRCA (Breast Cancer). The dataset combines various clinical attributes, including patient demographics, tumor characteristics, hormone receptor status, and surgical details, with protein expression data. It is intended for research purposes, particularly for analyzing the relationships between clinical features and molecular data to understand disease progression and treatment outcomes. ## Data Overview The dataset consists of the following columns: 1. **Patient_ID**: Unique identifier assigned to each patient. 2. **Age**: Patient's age at the time of diagnosis. 3. **Gender**: Patient's gender (e.g., FEMALE). 4. **Protein1, Protein2, Protein3, Protein4**: Measured levels of various proteins related to the patient’s condition. These proteins may be biomarkers that help in understanding the biological processes of the cancer. 5. **Tumour_Stage**: The clinical stage of the tumor, which provides insight into how advanced the cancer is (e.g., Stage I, II, III). This is based on criteria such as tumor size and the spread of the disease. 6. **Histology**: The type of tissue abnormality (e.g., Infiltrating Ductal Carcinoma, Mucinous Carcinoma), which helps in classifying the nature of the breast cancer. 7. **ER status (Estrogen Receptor)**: Whether the cancer cells have estrogen receptors (Positive or Negative). This status is crucial for determining whether hormone therapy is suitable. 8. **PR status (Progesterone Receptor)**: Whether the cancer cells have progesterone receptors (Positive or Negative). Like ER status, this helps guide treatment decisions. 9. **HER2 status**: The status of HER2 protein receptors, which can be either Positive or Negative. HER2-positive breast cancers tend to grow more aggressively, and specific therapies target this receptor. 10. **Surgery_type**: The type of surgery the patient underwent (e.g., Lumpectomy …