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构建与失巢凋亡相关的 lncRNA-miRNA-mRNA 网络揭示β-榄香烯在非小细胞肺癌中的预后作用。

Construction of an anoikis-associated lncRNA-miRNA-mRNA network reveals the prognostic role of β-elemene in non-small cell lung cancer.

机构信息

Hunan University of Chinese Medicine, Changsha, 410208, Hunan, People's Republic of China.

Cancer Research Institute of Hunan Academy of Traditional Chinese Medicine, Changsha, 410006, Hunan, People's Republic of China.

出版信息

Sci Rep. 2023 Nov 18;13(1):20185. doi: 10.1038/s41598-023-46480-7.

DOI:10.1038/s41598-023-46480-7
PMID:37980372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10657389/
Abstract

β-Elemene is the main active ingredient in Curcumae Rhizoma that exerts antitumour effects. Anoikis affects tumour development through various biological pathways in non-small cell lung cancer (NSCLC), but the regulation between β-elemene and anoikis remains to be explored. First, we explored the molecular expression patterns of anoikis-associated genes (AAGs) using consensus clustering and characterized the impact of AAGs on patient prognosis, clinical characteristics, and genomic instability. In addition, we revealed that AAG regulatory genes have rich interactions with β-elemene targets, and established a lncRNA-miRNA-mRNA network to explain the effect of β-elemene on anoikis. Finally, to reveal the prognostic effect of their correlation, the prognostic scoring model and clinical nomogram of β-elemene and anoikis were successfully established by least absolute shrinkage and selection operator (LASSO) and random forest algorithms. This prognostic scoring model containing noncoding RNA (ncRNA) can indicate the immunotherapy and mutational landscape, providing a novel theoretical basis and direction for the study of the antitumour mechanism of β-elemene in NSCLC patients.

摘要

β-榄香烯是莪术的主要活性成分,具有抗肿瘤作用。失巢凋亡通过多种生物学途径影响非小细胞肺癌(NSCLC)的发展,但β-榄香烯与失巢凋亡之间的调节关系仍有待探索。首先,我们使用共识聚类探索了与失巢凋亡相关基因(AAG)的分子表达模式,并描述了 AAG 对患者预后、临床特征和基因组不稳定性的影响。此外,我们揭示了 AAG 调节基因与β-榄香烯靶标之间存在丰富的相互作用,并建立了 lncRNA-miRNA-mRNA 网络来解释β-榄香烯对失巢凋亡的影响。最后,为了揭示它们相关性的预后影响,我们通过最小绝对值收缩和选择算子(LASSO)和随机森林算法成功建立了β-榄香烯和失巢凋亡的预后评分模型和临床列线图。这个包含非编码 RNA(ncRNA)的预后评分模型可以指示免疫治疗和突变景观,为研究β-榄香烯在 NSCLC 患者中的抗肿瘤机制提供了新的理论基础和方向。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dcf/10657389/a2b5cdc9f354/41598_2023_46480_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dcf/10657389/7b09f2e67bde/41598_2023_46480_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dcf/10657389/38b23c13b839/41598_2023_46480_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dcf/10657389/a67db3eeb5ee/41598_2023_46480_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dcf/10657389/ee6ce1826223/41598_2023_46480_Fig9_HTML.jpg
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