# Editorial: Novel techniques for colorectal cancer

**Authors:** Mauro Podda, Baohong Yang

PMC · DOI: 10.3389/fsurg.2026.1814864 · Frontiers in Surgery · 2026-03-18

## TL;DR

This editorial highlights new approaches to treating colorectal cancer, focusing on surgery, therapies, and machine learning for early detection.

## Contribution

The paper compiles four articles showcasing innovative strategies in colorectal cancer management.

## Key findings

- Multimodal strategies are essential for managing advanced colorectal cancer.
- Machine learning is being explored for early detection of the disease.
- Novel combination therapies are being investigated to improve treatment outcomes.

## Abstract

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. Despite significant advancements in systemic therapies, the management of locally advanced and metastatic disease, including peritoneal and liver metastases, continues to present complex clinical challenges. The evolution of treatment paradigms from purely systemic approaches to aggressive, multimodal strategies underscores the necessity for continuous innovation in surgical techniques, targeted therapies, and diagnostic tools. In this research topic, we present a collection of four insightful articles that address critical aspects of CRC management. These contributions span the spectrum of care, from refining surgical safety and exploring novel combination therapies to leveraging machine learning for early detection, thereby reflecting the multidisciplinary nature of modern oncologic care.

## Linked entities

- **Diseases:** colorectal cancer (MONDO:0005575), metastatic disease (MONDO:0024883)

## Full-text entities

- **Diseases:** cancer (MESH:D009369), CRC (MESH:D015179), metastases (MESH:D009362)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC13040385/full.md

---
Source: https://tomesphere.com/paper/PMC13040385