Gene Signature Associated with Ferroptosis for Predicting Overall Survival among Ovarian Cancer Patients
Yanling Li, Yidi Wang, Han Lei, Kai Wai Li, Jingman Tang, Lu Xu, Yan Liu, Jianhong Lu, Yulong Peng, Lili Fan, Xiaojuan Li, Jianbo He
TL;DR
This study identifies a gene signature linked to ferroptosis that can predict survival in ovarian cancer patients.
Contribution
The novel contribution is the identification of a five-gene model associated with ferroptosis for ovarian cancer prognosis.
Findings
Five genes (CD44, FTH1, ALOX12, SLC7A11, CRYAB) form a prognostic model for ovarian cancer.
These genes influence cell cycle, proliferation, invasiveness, immune response, and drug tolerance.
Ferroptosis-related pathways offer potential for improving ovarian cancer treatment outcomes.
Abstract
Distinct from apoptosis, ferroptosis is intricately associated with intracellular iron ions and oxidative stress, representing a unique form of cell demise. In the treatment of ovarian cancer (OC), it assumes a crucial role, as research suggests its association with patient prognosis. This investigation delves into the correlation between genes associated with ferroptosis and the prognosis of OC, providing insights into its pathogenesis. Through the examination of mRNA expression using TCGA, ICGC, and GTEx databases, we identified a set of five pivotal genes (CD44, FTH1, ALOX12, SLC7A11, CRYAB) forming a prognostic model. Their regulation affects various aspects of OC, including the cell cycle, proliferation, invasiveness, immune response, and drug tolerance. To summarize, ferroptosis significantly impacts the prognosis of OC, and the targeting of relevant pathways holds potential for…
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Taxonomy
TopicsFerroptosis and cancer prognosis · Clusterin in disease pathology · Cancer-related molecular mechanisms research