Suppr超能文献

用于预测三阴性乳腺癌免疫状态和治疗反应的免疫相关lncRNA模型的构建与验证

Construction and validation of immune-associated lncRNA model for predicting immune status and therapeutic reactions of triple-negative breast cancer.

作者信息

Liu Yaqian, Zhang Ming, Sun Jie, Zhang Jinyuan, Gu Boshi, Li Jun, Pan Bo, Zhao Haidong

机构信息

Department of Breast Surgery, The Second Affiliated Hospital of Dalian Medical University Dalian, Liaoning, China.

Department of Pharmacy, The Second Affiliated Hospital of Dalian Medical University Dalian, Liaoning, China.

出版信息

Am J Transl Res. 2024 Sep 15;16(9):4355-4378. doi: 10.62347/VIXN9362. eCollection 2024.

Abstract

OBJECTIVE

The immune status of the tumor microenvironment significantly impacts the clinical prognosis of triple-negative breast cancer (TNBC). The involvement of long noncoding RNAs (lncRNAs) in tumor immune infiltration is widely acknowledged. Therefore, it is crucial to explore the role of significant immune-related lncRNAs in TNBC.

METHODS

We acquired RNA, single-cell sequencing, and clinical information on TNBC from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. To identify immune-related lncRNAs, immune infiltration subgroups were determined and verified using single-sample gene-set enrichment analysis, non-negative matrix factorization, and weighted gene co-expression network analysis. CIBERSORTx, deconvolution, drug sensitivity, and Scissor analyses revealed that differences in cell type and drug efficacy were associated with immune grouping.

RESULTS

TNBC samples were classified into immune-desert (cold) and immune-inflamed (hot) subgroups based on a lncRNA model (including LINC01550, LY86-AS1, LINC00494, LINC00877, CHRM3-AS2, HCP5, MIR155HG, and PIK3CD-AS1). Furthermore, using in vitro experiments, we found that LINC01550 promoted malignant phenotypes, including proliferation, survival, and migration of TNBC. The immune-inflamed subgroup exhibited significantly lower half-maximal inhibitory concentration values for common anti-tumor drugs, including palbociclib, ribociclib, mitoxantrone, and sorafenib (T-test, P < 0.001). This may be related to the fact that the immune-inflamed subgroup has more plasmacytoid dendritic cells (pDCs) and B cells than those in immune-desert subgroups (P < 0.001).

CONCLUSIONS

Differences in specific cell infiltration can lead to increased sensitivity of the immune-inflamed subgroup to anti-tumor drugs. The proposed lncRNA model holds great promise to assess the immune landscapes and therapeutic reactions of TNBC patients.

摘要

目的

肿瘤微环境的免疫状态对三阴性乳腺癌(TNBC)的临床预后有显著影响。长链非编码RNA(lncRNA)参与肿瘤免疫浸润已得到广泛认可。因此,探索重要的免疫相关lncRNA在TNBC中的作用至关重要。

方法

我们从癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)获取了TNBC的RNA、单细胞测序及临床信息。为鉴定免疫相关lncRNA,使用单样本基因集富集分析、非负矩阵分解和加权基因共表达网络分析来确定并验证免疫浸润亚组。CIBERSORTx、反卷积、药物敏感性和Scissor分析表明,细胞类型和药物疗效的差异与免疫分组相关。

结果

基于lncRNA模型(包括LINC01550、LY86-AS1、LINC00494、LINC00877、CHRM3-AS2、HCP5、MIR155HG和PIK3CD-AS1),TNBC样本被分为免疫荒漠(冷)和免疫炎症(热)亚组。此外,通过体外实验,我们发现LINC01550促进了TNBC的恶性表型,包括增殖、存活和迁移。免疫炎症亚组对包括帕博西尼、瑞博西尼、米托蒽醌和索拉非尼在内的常见抗肿瘤药物的半数最大抑制浓度值显著更低(T检验,P < 0.001)。这可能与免疫炎症亚组比免疫荒漠亚组有更多浆细胞样树突状细胞(pDC)和B细胞有关(P < 0.001)。

结论

特定细胞浸润的差异可导致免疫炎症亚组对抗肿瘤药物的敏感性增加。所提出的lncRNA模型在评估TNBC患者的免疫格局和治疗反应方面具有很大潜力。

相似文献

3
Establishment of a Cell Necroptosis Index to Predict Prognosis and Drug Sensitivity for Patients With Triple-Negative Breast Cancer.
Front Mol Biosci. 2022 May 5;9:834593. doi: 10.3389/fmolb.2022.834593. eCollection 2022.
4
A novel model associated with tumor microenvironment on predicting prognosis and immunotherapy in triple negative breast cancer.
Clin Exp Med. 2023 Nov;23(7):3867-3881. doi: 10.1007/s10238-023-01090-5. Epub 2023 May 23.
9
10
A novel immune-related long noncoding RNA (lncRNA) pair model to predict the prognosis of triple-negative breast cancer.
Transl Cancer Res. 2024 Mar 31;13(3):1252-1267. doi: 10.21037/tcr-23-1975. Epub 2024 Mar 11.

本文引用的文献

3
Genome-wide gain-of-function screening characterized lncRNA regulators for tumor immune response.
Sci Adv. 2022 Dec 9;8(49):eadd0005. doi: 10.1126/sciadv.add0005. Epub 2022 Dec 7.
6
TGFB2-AS1 inhibits triple-negative breast cancer progression via interaction with SMARCA4 and regulating its targets and .
Proc Natl Acad Sci U S A. 2022 Sep 27;119(39):e2117988119. doi: 10.1073/pnas.2117988119. Epub 2022 Sep 20.
7
LncRNA SEMA3B-AS1 inhibits breast cancer progression by targeting miR-3940/KLLN axis.
Cell Death Dis. 2022 Sep 19;13(9):800. doi: 10.1038/s41419-022-05189-7.
9
LncRNAs in tumor metabolic reprogramming and immune microenvironment remodeling.
Cancer Lett. 2022 Sep 1;543:215798. doi: 10.1016/j.canlet.2022.215798. Epub 2022 Jun 20.
10
An Immunity-Associated lncRNA Signature for Predicting Prognosis in Gastric Adenocarcinoma.
J Healthc Eng. 2022 Apr 25;2022:3035073. doi: 10.1155/2022/3035073. eCollection 2022.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验