Predictive model using four ferroptosis-related genes accurately predicts gastric cancer prognosis

doi:10.4251/wjgo.v16.i5.2018

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 16, Issue 5

This Article

Academic Content and Language Evaluation 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

Number of Hits and Downloads for This Article

Total Article Views (1082)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-8) series, Tables (1-1) series.

Item

Count

PDF

HTML

645

Figures (1-8)

Tables (1-1)

Sum=768

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

Download

144

Sum=230

Publishing Process of This Article

Item

Count

Browse

Download

Sum=56

May 15, 2024 (publication date) through Jun 29, 2024

Times Cited of This Article

Times Cited (0)

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

Basic Study

World J Gastrointest Oncol. May 15, 2024; 16(5): 2018-2037
Published online May 15, 2024. doi: 10.4251/wjgo.v16.i5.2018

Full Size Figure Download Figure

Figure 1 Flow diagram of data collection and analysis. Co-DEGs: Co-regulated differentially expressed genes; FRGPI: Ferroptosis-related genes prognostic index; GC: Gastric cancer; ROS: Reactive oxygen species; LASSO: Least absolute shrinkage and selection operator; TCGA: The cancer genome atlas.

Citation: Wang L, Gong WH. Predictive model using four ferroptosis-related genes accurately predicts gastric cancer prognosis. World J Gastrointest Oncol 2024; 16(5): 2018-2037
URL: https://www.wjgnet.com/1948-5204/full/v16/i5/2018.htm
DOI: https://dx.doi.org/10.4251/wjgo.v16.i5.2018