Evidence map›Paper›PMID 35702100›Full record

ArticleAmerican journal of translational research2022

Construction and validation of an eight pyroptosis-related lncRNA risk model for breast cancer.

Miduo Tan, Guo Huang, Jingjing Chen, Jiansheng Yi, Xi Liu, Ni Liao, Yi Hu, Wei Zhou, Qiong Guo

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 36% of its field
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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Miduo TanThe Department of Breast Surgery, The Affiliated Zhuzhou Hospital of Xiang Ya School of Medicine Central South University Zhuzhou 412000, Hunan, P. R. China.
Guo HuangHengyang Medical College, University of South China Hengyang 421001, Hunan, P. R. China.
Jingjing ChenThe Department of Breast Surgery, The Affiliated Zhuzhou Hospital of Xiang Ya School of Medicine Central South University Zhuzhou 412000, Hunan, P. R. China.
Jiansheng YiThe Department of Breast Surgery, The Affiliated Zhuzhou Hospital of Xiang Ya School of Medicine Central South University Zhuzhou 412000, Hunan, P. R. China.
Xi LiuThe Department of Breast Surgery, The Affiliated Zhuzhou Hospital of Xiang Ya School of Medicine Central South University Zhuzhou 412000, Hunan, P. R. China.
Ni LiaoThe Department of Breast Surgery, The Affiliated Zhuzhou Hospital of Xiang Ya School of Medicine Central South University Zhuzhou 412000, Hunan, P. R. China.
Yi HuThe Department of Breast Surgery, The Affiliated Zhuzhou Hospital of Xiang Ya School of Medicine Central South University Zhuzhou 412000, Hunan, P. R. China.
Wei ZhouThe Department of Breast Surgery, The Affiliated Zhuzhou Hospital of Xiang Ya School of Medicine Central South University Zhuzhou 412000, Hunan, P. R. China.
Qiong GuoThe Department of Breast Surgery, The Affiliated Zhuzhou Hospital of Xiang Ya School of Medicine Central South University Zhuzhou 412000, Hunan, P. R. China.
Central South University · CNUniversity of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe developed a risk model based on pyroptosis-related long non-coding RNAs (lncRNAs) and assessed its prognostic value and clinical significance in breast cancer (BRCA).

methodsBRCA RNA sequencing data with corresponding clinical information were retrieved from The Cancer Genome Atlas (TCGA) database. Univariate Cox regression analysis was used to examine correlations between prognosis of BRCA patients and the expression levels of pyroptosis-related lncRNAs. A prognostic model was developed and validated by identifying the correlation of risk scores with tumor immune infiltration and immune cell function through immune response analysis. Functional analyses of focal dysfunction-related lncRNA were also carried out. Lastly, single sample gene set enrichment analysis (ssGSEA) was conducted to determine the differences in immune responses between the low- and high-risk groups.

resultsWe divided the TCGA-BRCA dataset into 3 clusters by consensus clustering, and identified 11 pyroptosis-related lncRNAs that are differentially expressed between tumors and normal tissues. In addition, we determined if PD-L1 expression is associated with clustering and gene expression. The list was further narrowed down to eight pyroptosis-related lncRNAs and their regression coefficients were obtained through LASSO regression analysis. The relative proportion of 22 different immune cells in the BRCA microenvironment was determined using the CIBERSORT algorithm to explore the indicative effects of risk score on the tumor microenvironment (TME). We found that the resting mast cells, M0, and M2 macrophages were positively correlated with the risk scores.

conclusionThe potential role of pyroptosis-related lncRNAs in BRCA prognosis may be exploited as a treatment target for patients with BRCA.

Indexed as

BRCAimmune checkpointlncRNApyroptosistumor microenvironment

Identifiers

PMID35702100
PMCPMC9185044
OpenAlexW4285743222

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.