Ferritin as a novel predictive index for nasopharyngeal carcinoma survival and therapeutic efficacy of different chemotherapy regimens

doi:10.5306/wjco.v17.i1.114012

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, Issue 1

This Article

(35)

(30)

(0)

(10)

(770)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials 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 Clinical Oncology

ISSN

2218-4333

Publisher of This Article

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

Retrospective Study

World J Clin Oncol. Jan 24, 2026; 17(1): 114012
Published online Jan 24, 2026. doi: 10.5306/wjco.v17.i1.114012

Full Size Figure Download Figure

Figure 3 Restricted cubic spline analysis of association between the Ferritin index and nasopharyngeal carcinoma mortality. A: Univariable analysis for 3-year mortality; B: Multivariable analysis for 3-year mortality after adjusting covariates.

Citation: Tang Q, Wu Y, Chen L, Jia QY, Tang FQ. Ferritin as a novel predictive index for nasopharyngeal carcinoma survival and therapeutic efficacy of different chemotherapy regimens. World J Clin Oncol 2026; 17(1): 114012
URL: https://www.wjgnet.com/2218-4333/full/v17/i1/114012.htm
DOI: https://dx.doi.org/10.5306/wjco.v17.i1.114012

Tang Q, Wu Y, Chen L, Jia QY, Tang FQ. Ferritin as a novel predictive index for nasopharyngeal carcinoma survival and therapeutic efficacy of different chemotherapy regimens. World J Clin Oncol 2026; 17(1): 114012 [PMID: 41608349 DOI: 10.5306/wjco.v17.i1.114012]

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.