Evidence map›Paper›PMID 35308143›Full record

ArticleDisease markers2022

A Novel Pyroptosis-Related Prognostic Signature for Risk Stratification and Clinical Prognosis in Clear Cell Renal Cell Carcinoma.

Xiao-Qiong Pan, Wen Huang, Ling-Wei Jin, Hua-Zhen Lin, Xiao-Yan Xu

Abstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Mitochondrial function meets oncology: the multifaceted role of TFAM across cancer types.Apoptosis : an international journal on programmed cell death · 2026
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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

5 authors.

Xiao-Qiong PanDepartment of Traditional Chinese Medicine, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Wen HuangDepartment of Nephrology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Ling-Wei JinDepartment of Nephrology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Hua-Zhen LinDepartment of Traditional Chinese Medicine, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Xiao-Yan XuDepartment of Nephrology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-8153-3762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging research has substantiated that pyroptosis-related biomarkers were mightily related to the clinical outcome of patients with clear cell renal cell carcinoma (ccRCC). However, a single-gene biomarker's moderate predictive power is insufficient, and more accurate prognostic models are urgently needed. We conducted this investigation in order to develop a robust pyroptosis-related gene signature for use in risk stratification and survival prognosis in colorectal cancer. We downloaded transcriptomic data and survival information of ccRCC patients from TCGA. Bioinformatic methods were used to generate a pyroptosis-related gene signature based on data from TCGA training cohort. ROC curve, uni- and multivariate regression analyses were used for the prognostic assays. What is more, we explored the relationship between model-based risk score and the tumor microenvironment. Herein, 11 pyroptosis-related hub genes (CASP9, TUBB6, NFKB1, BNIP3, CAPN1, CD14, PRDM1, BST2, SDHB, TFAM, and GSDMB) were determined as risk signature for risk stratification and prognosis prediction for ccRCC. Kaplan-Meier curves, ROC curves, and risk plots were employed to analyze and verify its performance in all groups. Multivariate assays exhibited that risk score could be an independent prognostic factor for patients' OS. ESTIMATE algorithm showed a higher immune score in the group of high-risk. Overall, a novel pyroptosis-related gene signature generated can be employed for prognosis prediction of ccRCC patients. This may assist in individual treatment of clinical decision-making.

Indexed as

Gene Expression ProfilingPrognosisBiomarkers, TumorCarcinoma, Renal CellComputational BiologyDatabases, GeneticFemaleHumansKidney NeoplasmsMaleMiddle AgedPyroptosisRisk AssessmentRisk FactorsTranscriptomeTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID35308143
PMCPMC8927973

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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.