Evidence map›Paper›PMID 32688345›Full record

ArticleAging2020

A new survival model based on ferroptosis-related genes for prognostic prediction in clear cell renal cell carcinoma.

Guangzhen Wu, Qifei Wang, Yingkun Xu, Quanlin Li, Liang Cheng

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
14.4field-weighted citation impact, top 1% 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

68 citing papers in PubMed, 106 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

Guangzhen WuDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Qifei WangDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yingkun XuDepartment of Urology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Quanlin LiDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Liang ChengDepartment of Pathology and Laboratory Medicine, Indianapolis, IN 46202, USA.
First Affiliated Hospital of Dalian Medical University · CNDalian Medical University · CNIndiana University – Purdue University Indianapolis · USShandong Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we analyzed the clinical significance of ferroptosis-related genes (FRGs) in 32 cancer types in the GSCA database. We detected a 2-82% mutation rate among 36 FRGs. In clear cell renal cell carcinoma (ccRCC; n=539) tissues from the The Cancer Genome Atlas database, 30 of 36 FRGs were differentially expressed (up- or down-regulated) compared to normal kidney tissues (n=72). Consensus clustering analysis identified two clusters of FRGs based on similar co-expression in ccRCC tissues. We then used LASSO regression analysis to build a new survival model based on five risk-related FRGs (

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAmino Acid Transport System y+Biomarkers, TumorFanconi Anemia Complementation Group D2 ProteinFerroptosisGene Expression Regulation, NeoplasticHumansHydroxymethylglutaryl CoA ReductasesNuclear Receptor CoactivatorsPrognosisSurvival AnalysisAmino Acid Transport System y+Biomarkers, TumorFANCD2 protein, humanFanconi Anemia Complementation Group D2 ProteinHMGCR protein, humanHydroxymethylglutaryl CoA ReductasesNCOA4 protein, humanNuclear Receptor CoactivatorsSLC7A11 protein, humanclear cell renal cell carcinomaferroptosiskidneypan-cancer biomarkerprognosis/survival

Identifiers

PMID32688345
PMCPMC7425493
OpenAlexW3044484601

What OpenQuestion holds

Textmetadata
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.