Evidence map›Paper›PMID 35860590›Full record

ArticleFrontiers in oncology2022

Pyroptosis-Related lncRNA Prognostic Model for Renal Cancer Contributes to Immunodiagnosis and Immunotherapy.

Xuan Zhou, Liangyu Yao, Xiang Zhou, Rong Cong, Jiaochen Luan, Xiyi Wei, Xu Zhang, Ninghong Song

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 13 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

8 authors at 2 institutions in 1 country.

Xuan ZhouDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Liangyu YaoDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiang ZhouDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Rong CongDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiaochen LuanDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiyi WeiDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xu ZhangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ninghong SongDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Renal clear cell cancer (ccRCC) is one of the most common cancers in humans. Thus, we aimed to construct a risk model to predict the prognosis of ccRCC effectively. Methods: We downloaded RNA sequencing (RNA-seq) data and clinical information of 539 kidney renal clear cell carcinoma (KIRC) patients and 72 normal humans from The Cancer Genome Atlas (TCGA) database and divided the data into training and testing groups randomly. Pyroptosis-related lncRNAs (PRLs) were obtained through Pearson correlation between pyroptosis genes and all lncRNAs ( Results: We constructed a prognostic signature composed of six key lncRNAs (U62317.1, MIR193BHG, LINC02027, AC121338.2, AC005785.1, AC156455.1), which significantly predict different overall survival (OS) rates. The efficiency was demonstrated using the receiver operating characteristic (ROC) curve. The signature was observed to be an independent prognostic factor in cohorts. In addition, we found the PRLs promote the tumor progression Conclusion: This study provided a new risk model to evaluate ccRCC and may be pyroptosis-related therapeutic targets in the clinic.

Indexed as

ccRCCimmunelncRNAspyroptosistumor microenvironment

Identifiers

PMID35860590
PMCPMC9291251
OpenAlexW4283803571

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.