Cuproptosis‐associated <scp>lncRNA</scp> impact prognosis in patients with non‐small cell lung cancer co‐infected with <scp>COVID</scp>‐19

Non-small cell lung cancer (NSCLC) patients infected with COVID-19 experience much worse prognosis. However, the specific mechanisms behind this phenomenon remain unclear. We conducted a multicentre study, collecting surgical tissue samples from a total of 36 NSCLC patients across three centres to analyse. Among the 36 lung cancer patients, 9 were infected with COVID-19. COVID-19 infection (HR = 21.62 [1.58, 296.06], p = 0.021) was an independent risk factor of progression-free survival (PFS). Analysis of RNA-seq data of these cancer tissues demonstrated significantly higher expression levels of cuproptosis-associated genes in COVID-19-infected lung cancer patients. Using Lasso regression and Cox regression analysis, we identified 12 long noncoding RNAs (lncRNA) regulating cuproptosis. A score based on these lncRNA were used to divide patients into high-risk and low-risk groups. The results showed that the high-risk group had lower overall survival and PFS compared to the low-risk group. Furthermore, Tumor Immune Dysfunction and Exclusion (TIDE) database revealed that the high-risk group benefited more from immunotherapy. Drug sensitivity analysis identified cetuximab and gefitinib as potentially effective treatments for the high-risk group. Cuproptosis plays a significant role NSCLC patients infected with COVID-19. Promisingly, cetuximab and gefitinib have shown potential effectiveness for managing these patients.

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Publication Details

Journal
Journal of Cellular and Molecular Medicine
Published
2024-09-01
DOI
https://doi.org/10.1111/jcmm.70059
Citations
3
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.86
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article

Cuproptosis‐associated lncRNA impact prognosis in patients with non‐small cell lung cancer co‐infected with COVID‐19

Junhong Jiang, Guocai Mao, Jiantang Wang, Daxiong Zeng et al.
3 citations
Journal of Cellular and Molecular Medicine
Cancer-related molecular mechanisms research
0.86
article

Cuproptosis‐associated lncRNA impact prognosis in patients with non‐small cell lung cancer co‐infected with COVID‐19

Junhong Jiang, Guocai Mao, Jiantang Wang, Daxiong Zeng, Mengqi Xiang, Nan Wang, Jing Li, Huachuan Zhang, Haitao Ma
article en
3 citations

Abstract

Non-small cell lung cancer (NSCLC) patients infected with COVID-19 experience much worse prognosis. However, the specific mechanisms behind this phenomenon remain unclear. We conducted a multicentre study, collecting surgical tissue samples from a total of 36 NSCLC patients across three centres to analyse. Among the 36 lung cancer patients, 9 were infected with COVID-19. COVID-19 infection (HR = 21.62 [1.58, 296.06], p = 0.021) was an independent risk factor of progression-free survival (PFS). Analysis of RNA-seq data of these cancer tissues demonstrated significantly higher expression levels of cuproptosis-associated genes in COVID-19-infected lung cancer patients. Using Lasso regression and Cox regression analysis, we identified 12 long noncoding RNAs (lncRNA) regulating cuproptosis. A score based on these lncRNA were used to divide patients into high-risk and low-risk groups. The results showed that the high-risk group had lower overall survival and PFS compared to the low-risk group. Furthermore, Tumor Immune Dysfunction and Exclusion (TIDE) database revealed that the high-risk group benefited more from immunotherapy. Drug sensitivity analysis identified cetuximab and gefitinib as potentially effective treatments for the high-risk group. Cuproptosis plays a significant role NSCLC patients infected with COVID-19. Promisingly, cetuximab and gefitinib have shown potential effectiveness for managing these patients.

Journal of Cellular and Molecular MedicineVol. 28(17)
University of Electronic Science and Technology of China (CN), Soochow University (CN), Sichuan Cancer Hospital (CN), First Affiliated Hospital of Soochow University (CN), The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital)
Reduced inequalities
Openalex Percentile: Top 26%
Cancer-related molecular mechanisms research
0.86
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