# Metastatic gastric cancer in fit patients—a practical algorithm of treatment sequencing from the Brazilian Group of Gastrointestinal Tumours (GTG)

## TL;DR

This paper presents a treatment algorithm for metastatic gastric cancer to help doctors choose and sequence therapies for fit patients.

## Contribution

A practical treatment sequencing algorithm for metastatic gastric cancer developed by the Brazilian Group of Gastrointestinal Tumours.

## Key findings

- The algorithm is designed for fit patients with unresectable metastatic gastric cancer.
- It aims to simplify treatment decisions for general oncologists.
- The guidance assumes no access or resource limitations.

## Abstract

Recent advancements in biomarker-driven therapies have significantly transformed the treatment paradigm for unresectable metastatic gastric cancer (mGC). These innovations, however, have introduced not only issues related to accessibility but also complexities for treating physicians, particularly general oncologists, in selecting the most appropriate treatment for each patient and deciding on the best sequencing strategy. This manuscript presents an algorithm developed by the Brazilian Group of Gastrointestinal Tumours, designed to provide straightforward guidance in the management of unresectable mGC. This algorithm, grounded in evidence for fit patients, aims to streamline therapeutic decision-making in clinical practice, assuming the absence of access and resource constraints.