Development of a predictive model for metachronous liver metastasis in gastric cancer
This study successfully developed a predictive nomogram for MLM in gastric cancer. Besides conventional parameters, we identified and incorporated peripheral blood monocyte and lymphocyte counts as novel predictors, demonstrating their independent predictive value. Integrating these factors into nomogram could enhance predictive accuracy of MLM.
Authors
- Yaru Yang (ORCID: https://orcid.org/0000-0002-3170-3572)
- Xinyu Dou
- Ye Tian (ORCID: https://orcid.org/0000-0003-2740-0955)
- Fengsu Wu
- Liaoran Niu
- Hanjun Dan
- Lili Duan (ORCID: https://orcid.org/0000-0003-3838-1956)
- Guangming Ren (ORCID: https://orcid.org/0009-0001-4564-3339)
- Fan Feng (ORCID: https://orcid.org/0000-0001-6756-6293)
- Jianyong Zheng (ORCID: https://orcid.org/0000-0001-9085-3696)
- Xinyu Qiao
- Gaozan Zheng
- Pengfei Wang (ORCID: https://orcid.org/0000-0002-1702-6712)
- Siyuan Wang (ORCID: https://orcid.org/0000-0001-6550-4064)
Institutions
- Pingdingshan University (CN)
- People's Liberation Army No. 150 Hospital (CN)
- People's Liberation Army 401 Hospital (CN)
- Xijing Hospital (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-08-18
- DOI
- https://doi.org/10.3389/fonc.2025.1603471
- Citations
- 1
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- National Natural Science Foundation of China