Evidence map›Paper›PMID 33225954›Full record

ArticleJournal of translational medicine2020

Immune-related lncRNAs as predictors of survival in breast cancer: a prognostic signature.

Wei Ma, Fangkun Zhao, Xinmiao Yu, Shu Guan, Huandan Suo, Zuo Tao, Yue Qiu, Yunfei Wu, Yu Cao, Feng Jin

Abstract readClinical Study
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed.

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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Wei MaDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
Fangkun ZhaoDepartment of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
Xinmiao YuDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
Shu GuanDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
Huandan SuoDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
Zuo TaoDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
Yue QiuDepartment of Cardiovascular Ultrasound, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
Yunfei WuDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
Yu CaoDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China. caoyu@cmu.edu.cn.
Feng JinDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China. jinfeng@cmu.edu.cn.ORCID 0000-0002-0325-5362

Funding

National Natural Science Foundation of China 81600777Natural Science Foundation of Liaoning Province 2013225585Natural Science Foundation of Liaoning Province 2020-MS-183Postdoctoral Research Foundation of China 2017M621178Postdoctoral Research Foundation of China 2019M650057
6 · The paper itself

Abstract

backgroundBreast cancer is a highly heterogeneous disease, this poses challenges for classification and management. Long non-coding RNAs play acrucial role in the breast cancersdevelopment and progression, especially in tumor-related immune processes which have become the most rapidly investigated area. Therefore, we aimed at developing an immune-related lncRNA signature to improve the prognosis prediction of breast cancer.

methodsWe obtained breast cancer patient samples and corresponding clinical data from The Cancer Genome Atlas (TCGA) database. Immune-related lncRNAs were screened by co-expression analysis of immune-related genes which were downloaded from the Immunology Database and Analysis Portal (ImmPort). Clinical patient samples were randomly separated into training and testing sets. In the training set, univariate Cox regression analysis and LASSO regression were utilized to build a prognostic immune-related lncRNA signature. The signature was validated in the training set, testing set, and whole cohorts by the Kaplan-Meier log-rank test, time-dependent ROC curve analysis, principal component analysis, univariate andmultivariate Cox regression analyses.

resultsA total of 937 immune- related lncRNAs were identified, 15 candidate immune-related lncRNAs were significantly associated with overall survival (OS). Eight of these lncRNAs (OTUD6B-AS1, AL122010.1, AC136475.2, AL161646.1, AC245297.3, LINC00578, LINC01871, AP000442.2) were selected for establishment of the risk prediction model. The OS of patients in the low-risk group was higher than that of patients in the high-risk group (p = 1.215e - 06 in the training set; p = 0.0069 in the validation set; p = 1.233e - 07 in whole cohort). The time-dependent ROC curve analysis revealed that the AUCs for OS in the first, eighth, and tenth year were 0.812, 0.81, and 0.857, respectively, in the training set, 0.615, 0.68, 0.655 in the validation set, and 0.725, 0.742, 0.741 in the total cohort. Multivariate Cox regression analysis indicated the model was a reliable and independent indicator for the prognosis of breast cancer in the training set (HR = 1.432; 95% CI 1.204-1.702, p < 0.001), validation set (HR = 1.162; 95% CI 1.004-1.345, p = 0.044), and whole set (HR = 1.240; 95% CI 1.128-1.362, p < 0.001). GSEA analysis revealed a strong connection between the signature and immune-related biological processes and pathways.

conclusionsWe constructed and verified a robust signature of 8 immune-related lncRNAs for the prediction of breast cancer patient survival.

Indexed as

Breast NeoplasmsRNA, Long NoncodingBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisBiomarkers, TumorRNA, Long NoncodingBreast cancerImmune-related predictorsLong non-coding RNAOverall survivalPrognostic signatureTCGA

Identifiers

PMID33225954
PMCPMC7681988

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.