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Developing CuS for Predicting Aggressiveness and Prognosis in Lung Adenocarcinoma

  • Honghao Liu
  • , Haijun Che
  • , Mengyan Zhang
  • , Jinyue Lv
  • , Chengjie Pu
  • , Jiawei Wu
  • , Yan Zhang*
  • , Yue Gu*
  • *Corresponding author for this work
  • School of Life Science and Technology, Harbin Institute of Technology
  • Southwest University for Nationalities
  • Chinese University of Hong Kong
  • Qiqihar Medical University

Research output: Contribution to journalArticlepeer-review

Abstract

Cuproptosis is a newfound cell death form that depends on copper (Cu) ionophores to transport Cu into cancer cells. Studies on the relationship have covered most common cancer types and analyzed the links between cuproptosis-related genes (CRGs) and various aspects of tumor characteristics. In this study, we evaluated the role of cuproptosis in lung adenocarcinoma (LUAD) and constructed the cuproptosis-related score (CuS) to predict aggressiveness and prognosis in LUAD, so as to achieve precise treatment for patients. CuS had a better predictive performance than cuproptosis genes, possibly due to the synergy of SLC family genes, and patients with a high CuS had a poor prognosis. Functional enrichment analysis revealed the correlation between CuS and immune and mitochondrial pathways in multiple datasets. Furthermore, we predicted six potential drugs targeting high-CuS patients, including AZD3759, which is a targeted drug for LUAD. In conclusion, cuproptosis is involved in LUAD aggressiveness, and CuS can accurately predict the prognosis of patients. These findings provide a basis for precise treatment of patients with high CuS in LUAD.

Original languageEnglish
Article number1055
JournalGenes
Volume14
Issue number5
DOIs
StatePublished - May 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cuproptosis
  • lung adenocarcinoma
  • potential drugs target
  • prognosis marker
  • single cell expression

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