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Editorial
©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Apr 15, 2025; 17(4): 103709
Published online Apr 15, 2025. doi: 10.4251/wjgo.v17.i4.103709
Understanding metastatic patterns in gastric cancer: Insights from lymph node distribution and pathology
Brandon Lucke-Wold, Tyler Kashuv, Chris B Lamprecht
Chris B Lamprecht, Tyler Kashuv, Brandon Lucke-Wold, Lillian S. Wells Department of Neurosurgery, University of Florida, Gainesville, FL 32608, United States
Co-first authors: Chris B Lamprecht and Tyler Kashuv.
Author contributions: Lamprecht CB and Kashuv T contributed to literature research, manuscript composition, editing, and revisions following peer review process; Lucke-Wold B contributed to conceptualization and editing the manuscript. Lamprecht CB and Kashuv T contributed equally to this work as co-first authors.
Conflict-of-interest statement: The authors report no conflicts of interest.
Corresponding author: Brandon Lucke-Wold, MD, PhD, Lillian S. Wells Department of Neurosurgery, University of Florida, 1505 SW Archer Rd, Gainesville, FL 32608, United States. brandon.lucke-wold@neurosurgery.ufl.edu
Received: November 28, 2024
Revised: January 26, 2025
Accepted: February 17, 2025
Published online: April 15, 2025
Processing time: 118 Days and 4.4 Hours
Core Tip

Core Tip: Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, underscoring the need for improved detection and management strategies. This editorial emphasizes the importance of personalized approaches to GC management by examining distinct metastatic lymph node distributions and prognostic factors in upper and lower GC. Future research can incorporate critical variables such as genomic and molecular characterization, infection-related factors like Helicobacter pylori and Epstein-Barr virus, and recurrence metrics. Incorporating these factors into patient predictive models offers promising opportunities to enhance understanding of GC and inform tailored, patient-centered treatment modalities across diverse populations.