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March 16, 2024European journal of medical researchOpen Access

Machine learning-driven prognostic analysis of cuproptosis and disulfidptosis-related lncRNAs in clear cell renal cell carcinoma: a step towards precision oncology

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Authors

RCRonghui ChenFujian Medical UniversityJWJun WuQingdao UniversityYCYinwei ChePeople’s Hospital of Rizhao

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Cite This Study

Chen et al. (2024) studied this question.

synapsesocial.com/papers/68e73b96b6db6435876b5175https://doi.org/10.1186/s40001-024-01763-1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A new cuproptosis-associated lncRNA signature predicts the prognosis of clear cell renal cell carcinoma patients2026
  2. 2Bioinformatic analysis and experimental validation of cuproptosis-related LncRNA as a novel biomarker for prognosis and immunotherapy of oral squamous cell carcinoma2024 · 3 citations
  3. 3Establishment of a prognostic signature of disulfidptosis-related lncRNAs for predicting survival and immune landscape in clear cell renal cell carcinoma2024 · 2 citations
  4. 4Identification of a cancer driver gene-associated lncRNA signature for prognostic prediction and immune response evaluation in clear cell renal cell carcinoma2024 · 4 citations
  5. 5Bioinformatics analysis and identification of cuproptosis-related long non-coding RNAs in colorectal cancer2024 · 1 citations