Association between gut microbial dysbiosis and clinical prognosis of advanced colorectal cancer

doi:10.4251/wjgo.122497

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 18, Issue 10

This Article

(13)

(15)

(0)

(1)

(13)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Gastrointestinal Oncology

ISSN

1948-5204

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Cohort Study

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Gastrointest Oncol. Oct 15, 2026; 18(10): 122497
Published online Oct 15, 2026. doi: 10.4251/wjgo.122497

Full Size Figure Download Figure

Figure 1 Comparison of gut microbiota α-diversity indices between the two groups. A: Shannon index; B: Chao1 index; C: Simpson index.

Citation: Wang Y, Dong YW, Wang Y, Jin YY, Zhou YX, Li Y. Association between gut microbial dysbiosis and clinical prognosis of advanced colorectal cancer. World J Gastrointest Oncol 2026; 18(10): 122497
URL: https://www.wjgnet.com/1948-5204/full/v18/i10/122497.htm
DOI: https://dx.doi.org/10.4251/wjgo.122497

Wang Y, Dong YW, Wang Y, Jin YY, Zhou YX, Li Y. Association between gut microbial dysbiosis and clinical prognosis of advanced colorectal cancer. World J Gastrointest Oncol 2026; 18(10): 122497 [DOI: 10.4251/wjgo.122497]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.