Colorectal cancer (CRC) is a malignant tumor that arises from the colon or rectum, and it is the third most common cancer worldwide, with approximately 1.92 million new cases and 900,000 deaths reported in 2022 . The incidence of CRC has been increasing, particularly among younger populations, with projections indicating a 90% increase in colon cancer rates among individuals aged 20-34 by 2030 .
Colorectal cancer typically develops through a multistep process involving the accumulation of genetic mutations and epigenetic changes. The adenoma-carcinoma sequence is a well-established pathway, where benign adenomatous polyps progress to malignant tumors over several years. Key genetic alterations include mutations in the APC, KRAS, and TP53 genes.
Diagnosis of colorectal cancer often involves a combination of screening tests, including:
Treatment for colorectal cancer depends on the stage of the disease and may include:
Recent studies have focused on the role of the tumor microenvironment and immune response in CRC. For instance, the knockout of Lphn1 has been shown to activate anti-tumor immune responses, suggesting potential new therapeutic targets .
This notebook will utilize genetic and lifestyle data to predict colorectal cancer risk.
import pandas as pd # Load relevant datasets dataset = pd.read_csv('colorectal_cancer_data.csv') # Analyze the data risk_factors = dataset[['age', 'family_history', 'diet', 'exercise']].describe()
The analysis will provide insights into the correlation between lifestyle factors and colorectal cancer risk.
print(risk_factors)