Evidence map›Paper›PMID 32841536›Full record

ArticleCancer medicine2020

An immune-related prognostic signature for predicting breast cancer recurrence.

Zelin Tian, Jianing Tang, Xing Liao, Qian Yang, Yumin Wu, Gaosong Wu

Abstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

17 citing papers in PubMed.

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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

6 authors.

Zelin TianDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0002-3450-2469
Jianing TangDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-1406-0576
Xing LiaoDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qian YangDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yumin WuDepartment of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0002-7766-7466
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 (BC) is the most common cancer among women worldwide and is the second leading cause of cancer-related deaths in women. Increasing evidence has validated the vital role of the immune system in BC development and recurrence. In this study, we identified an immune-related prognostic signature of BRCA that could help delineate risk scores of poor outcome for each patient. This prognostic signature comprised information on five danger genes-TSLP, BIRC5, S100B, MDK, and S100P-and three protect genes RARRES3, BLNK, and ACO1. Kaplan-Meier survival curve showed that patients classified as low-risk according to optimum cut-off risk score had better prognosis than those identified within the high-risk group. ROC analysis indicated that the identified prognostic signature had excellent diagnostic efficiency for predicting 3- and 5-years relapse-free survival (RFS). Multivariate Cox regression analysis proved that the prognostic signature is independent of other clinical parameters. Stratification analysis demonstrated that the prognostic signature can be used to predict the RFS of BC patients within the same clinical subgroup. We also developed a nomogram to predict the RFS of patients. The calibration plots exhibited outstanding performance. The validation sets (GSE21653, GSE20711, and GSE88770) were used to external validation. More convincingly, the real time RT-PCR results of clinical samples demonstrated that danger genes were significantly upregulated in BC samples, whereas protect genes were downregulated. In conclusion, we developed and validated an immune-related prognostic signature, which exhibited excellent diagnostic efficiency in predicting the recurrence of BC, and will help to make personalized treatment decisions for patients at different risk score.

Indexed as

Biomarkers, TumorBreast NeoplasmsDatabases, GeneticDisease SusceptibilityFemaleGene Expression ProfilingGene Regulatory NetworksHumansKaplan-Meier EstimateNeoplasm Recurrence, LocalPrognosisProportional Hazards ModelsReproducibility of ResultsROC CurveTranscriptomeBiomarkers, Tumorbreast cancerDEGsIRGsprognostic signaturetranscription factor

Identifiers

PMID32841536
PMCPMC7571818

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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.