COLORECTAL NEOPLASMS

This study tested a computer tool that automatically shows a cancer survivor's heart health risks using their existing medical records. The goal was to see if this tool helped survivors and their cancer doctors have better conversations about heart health, leading to more referra…

This study tested the safety and effectiveness of a new drug, E7386, combined with an existing immunotherapy (pembrolizumab) for people with advanced melanoma, liver cancer, or colorectal cancer that had worsened after prior treatments. The first part checked for side effects and…

This study tested a new two-step strategy for patients with advanced colorectal cancer that had stopped responding to standard treatments. First, some patients received a chemotherapy drug (temozolomide) with the goal of making their tumors more vulnerable. If that happened, they…

This study tested if giving a cancer drug early could prevent colorectal cancer from returning in patients who had successful surgery. Researchers used a sensitive blood test to find tiny traces of leftover cancer cells that scans couldn't see. About 240 patients who tested posit…

This study tested whether a combination of two drugs, lenvatinib and pembrolizumab, could help people live longer than the standard treatments for metastatic colorectal cancer that has stopped responding to prior therapies. It involved 563 participants whose cancer had spread and…

This study tested an artificial intelligence (AI) system designed to help doctors diagnose colon growths in real-time during a colonoscopy. The AI, called EndoBRAIN, analyzed highly magnified images of the colon lining to predict if a growth was non-cancerous, a benign adenoma, o…

This study investigated whether analyzing the bacteria in a person's stool could help predict their risk for colon cancer or pre-cancerous growths called adenomas. Researchers collected samples from over 1,700 people with different colon health statuses to see if specific bacteri…

This large study tested whether artificial intelligence (AI) computer systems can help doctors find more precancerous growths, called polyps, during routine colonoscopy exams. Over 334,000 colonoscopies at Veterans Affairs hospitals were included, with some hospitals randomly ass…

This study aimed to find the best colonoscopy technique for telling cancerous polyps apart from harmless ones during the procedure. It compared three methods: two using special dyes and one using a special light filter. The goal was to help doctors make more accurate decisions on…

This study tested whether a remote monitoring app could improve quality of life for people with advanced cancer. It involved 411 adults with metastatic breast, lung, colorectal, or prostate cancer. Researchers compared patients using the app to report symptoms from home against p…

This study tested whether a very short training video could help medical students and junior doctors get better at spotting signs of cancer in pictures of colon polyps. Researchers recruited 65 participants with no prior endoscopy training. They compared how accurately the partic…

This French study aimed to understand why some colon cancer cells are more aggressive. Researchers collected tumor samples from 60 patients to identify and study the specific cells responsible for spreading cancer and resisting chemotherapy. The goal was to learn more about these…

This study aimed to find out if two different types of blood tests could predict whether colon cancer would come back after surgery. Researchers followed 216 patients who had their cancer surgically removed. They compared tests that look for tiny pieces of cancer DNA versus whole…