Evidence map›Paper›PMID 31429520›Full record

ArticleJournal of cellular and molecular medicine2019

A prognostic 10-lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients.

Jianing Tang, Jiangbo Ren, Qiuxia Cui, Dan Zhang, Deguang Kong, Xing Liao, Mengxin Lu, Yan Gong, Gaosong Wu

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Jianing TangDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-2707-597X
Jiangbo RenDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qiuxia CuiDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Dan ZhangDepartment of Thyroid and Breast Surgery, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China.
Deguang KongDepartment of General Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xing LiaoDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Mengxin LuDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yan GongDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Gaosong WuDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0001-9296-7080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most frequently diagnosed malignancies and a leading cause of cancer death among females. Multiple molecular alterations are observed in breast cancer. LncRNA transcripts were proved to play important roles in the biology of tumorigenesis. In this study, we aimed to identify lncRNA expression signature that can predict breast cancer patient survival. We developed a 10-lncRNA signature-based risk score which was used to separate patients into high-risk and low-risk groups. Patients in the low-risk group had significantly better survival than those in the high-risk group. Receiver operating characteristic analysis indicated that this signature exhibited excellent diagnostic efficiency for 1-, 3- and 5-year disease-relapse events. Moreover, multivariate Cox regression analysis demonstrated that this 10-lncRNA signature was an independent risk factor when adjusting for several clinical signatures such as age, tumour size and lymph node status. The prognostic value of risk scores was validated in the validation set. In addition, a nomogram was established and the calibration plots analysis indicated the good performance and clinical utility of the nomogram. In conclusion, our results demonstrated that this 10-lncRNA signature effectively grouped patients at low and high risk of disease recurrence.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticBreast NeoplasmsFemaleHumansKaplan-Meier EstimateNeoplasm Recurrence, LocalNomogramsPrognosisProportional Hazards ModelsReproducibility of ResultsRisk FactorsRNA, Long NoncodingRNA, Long Noncodingbreast cancerGEOlncRNAnomogramprognosis

Identifiers

PMID31429520
PMCPMC6787455

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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.