A New Ferroptosis-Related Long Non-Coding RNA Risk Model Predicts the Prognosis of Patients With Papillary Thyroid Cancer

  • 0Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Institute of Nephrology, Ji'nan 250014, China.

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Summary

This summary is machine-generated.

This study developed a five-ferroptosis-related long non-coding RNA (lncRNA) risk model for predicting papillary thyroid cancer (PTC) prognosis. The model accurately distinguished high-risk from low-risk patients, with specific lncRNAs showing tumor-suppressive or oncogenic roles.

Area Of Science

  • Oncology
  • Molecular Biology
  • Genetics

Background

  • Ferroptosis, a novel regulated cell death, is implicated in cancer progression.
  • The role of ferroptosis-related long non-coding RNAs (lncRNAs) in papillary thyroid cancer (PTC) remains unclear.
  • This study aimed to clarify the prognostic value of ferroptosis-related lncRNAs in PTC.

Purpose Of The Study

  • To establish and validate a prognostic model based on ferroptosis-related lncRNAs for papillary thyroid cancer (PTC).
  • To investigate the differential expression and functional roles of key lncRNAs in PTC.
  • To explore the relationship between the ferroptosis-related lncRNA risk model and clinicopathological features, immune microenvironment, and m6A modification.

Main Methods

  • Transcriptome data from The Cancer Genome Atlas (TCGA) were analyzed.
  • A five-ferroptosis-related lncRNA risk model was constructed using multivariate Cox regression.
  • Kaplan-Meier survival analysis, ROC curves, and nomograms were used for validation.
  • *In vitro* assays assessed the functional roles of LINC00900, LINC01614, and PARAL1 in cell proliferation, migration, and invasion.

Main Results

  • A five-ferroptosis-related lncRNA risk model (PARAL1, LINC00900, DPH6-DT, LINC01614, LPP-AS2) was successfully constructed.
  • The risk score derived from the model was a more accurate predictor of PTC prognosis than traditional clinicopathological features.
  • LINC00900 exhibited tumor-suppressive functions, while LINC01614 and PARAL1 acted as oncogenic lncRNAs, all influencing ferroptosis.

Conclusions

  • A novel five-ferroptosis-related lncRNA risk model can effectively predict prognosis in papillary thyroid cancer (PTC).
  • The study identified LINC00900 as a tumor suppressor and LINC01614 and PARAL1 as oncogenes in PTC.
  • These findings provide valuable insights into the molecular mechanisms of ferroptosis in PTC and potential therapeutic targets.