A Novel Framework to Predict Breast Cancer Prognosis Using Immune-Associated LncRNAs

Overview

Journal Front Genet

Date 2021 Feb 15

PMID 33584821

Citations 7

Authors

Zhijian Huang

Chen Xiao

Fushou Zhang

Zhifeng Zhou

Liang Yu

Changsheng Ye

Weiwei Huang

Nani Li

Affiliations

Soon will be listed here.

Abstract

Breast cancer (BC) is one of the most frequently diagnosed malignancies among females. As a huge heterogeneity of malignant tumor, it is important to seek reliable molecular biomarkers to carry out the stratification for patients with BC. We surveyed immune- associated lncRNAs that may be used as potential therapeutic targets in BC. LncRNA expression data and clinical information of BC patients were downloaded from the TCGA database for a comprehensive analysis of candidate genes. A model consisting of immune-related lncRNAs enriched in BC cancerous tissues was established using the univariate Cox regression analysis and the iterative Lasso Cox regression analysis. The prognostic performance of this model was validated in two independent cohorts (GSE21653 and BC-KR), and compared with known prognostic biomarkers. A nomogram that integrated the immune-related lncRNA signature and clinicopathological factors was constructed to accurately assess the prognostic value of this signature. The correlation between the signature and immune cell infiltration in BC was also analyzed. The Kaplan-Meier analysis showed that the OS of Patients in the low-risk group had significantly better survival than those in the high-risk group, Clinical subgroup analysis showed that the predictive ability was independent of clinicopathological factors. Univariate/multivariate Cox regression analysis showed immune lncRNA signature is an important prognostic factor and an independent prognostic marker. In addition, GSEA and GSVA analysis as well as comprehensive analysis of immune cells showed that the signature was significantly correlated with the infiltration of immune cells. We successfully constructed an immune-associated lncRNA signature that can accurately predict BC prognosis.

Citing Articles

The current advances of lncRNAs in breast cancer immunobiology research.

Fonseca-Montano M, Vazquez-Santillan K, Hidalgo-Miranda A Front Immunol. 2023; 14:1194300.

PMID: 37342324 PMC: 10277570. DOI: 10.3389/fimmu.2023.1194300.

Upregulation of TIMM8A is correlated with prognosis and immune regulation in BC.

Zhang Y, Lin L, Wu Y, Bing P, Zhou J, Yu W Front Oncol. 2022; 12:922178.

PMID: 36248992 PMC: 9559820. DOI: 10.3389/fonc.2022.922178.

Identification of novel cuproptosis-related lncRNA signatures to predict the prognosis and immune microenvironment of breast cancer patients.

Jiang Z, Yang L, Jin L, Yi L, Bing P, Zhou J Front Oncol. 2022; 12:988680.

PMID: 36203428 PMC: 9531154. DOI: 10.3389/fonc.2022.988680.

Sherif S, Mall R, Almeer H, Naik A, Al Homaid A, Thomas R J Transl Med. 2022; 20(1):442.

PMID: 36180904 PMC: 9523969. DOI: 10.1186/s12967-022-03654-7.

A novel signature to predict thyroid cancer prognosis and immune landscape using immune-related LncRNA pairs.

Song B, Tian L, Zhang F, Lin Z, Gong B, Liu T BMC Med Genomics. 2022; 15(1):183.

PMID: 35996170 PMC: 9394074. DOI: 10.1186/s12920-022-01332-7.

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