Evidence map›Paper›PMID 32913492›Full record

ArticleAmerican journal of translational research2020

Identification and validation of novel metastasis-related signatures of clear cell renal cell carcinoma using gene expression databases.

Chun-Guang Ma, Wen-Hao Xu, Yue Xu, Jun Wang, Wang-Rui Liu, Da-Long Cao, Hong-Kai Wang, Guo-Hai Shi, Yi-Ping Zhu, Yuan-Yuan Qu and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  6. Review
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  8. mFrontiers in oncology · 2021
    Article
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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

12 authors at 4 institutions in 1 country.

Chun-Guang MaDepartment of Urology, Fudan University Shanghai Cancer Center Shanghai 200032, P. R. China.
Wen-Hao XuDepartment of Urology, Fudan University Shanghai Cancer Center Shanghai 200032, P. R. China.
Yue XuDepartment of Ophthalmology, The First Affiliated Hospital of Soochow University Suzhou 215000, P. R. China.
Jun WangDepartment of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou 510060, Guangdong, P. R. China.
Wang-Rui LiuDepartment of Neurosurgery, Affiliated Hospital of Youjiang Medical College for Nationalities Guangxi, P. R. China.
Da-Long CaoDepartment of Urology, Fudan University Shanghai Cancer Center Shanghai 200032, P. R. China.
Hong-Kai WangDepartment of Urology, Fudan University Shanghai Cancer Center Shanghai 200032, P. R. China.
Guo-Hai ShiDepartment of Urology, Fudan University Shanghai Cancer Center Shanghai 200032, P. R. China.
Yi-Ping ZhuDepartment of Urology, Fudan University Shanghai Cancer Center Shanghai 200032, P. R. China.
Yuan-Yuan QuDepartment of Urology, Fudan University Shanghai Cancer Center Shanghai 200032, P. R. China.
Hai-Liang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center Shanghai 200032, P. R. China.
Ding-Wei YeDepartment of Urology, Fudan University Shanghai Cancer Center Shanghai 200032, P. R. China.
Shanghai Medical College of Fudan University · CNSoochow University · CNSun Yat-sen University · CNYoujiang Medical College for Nationalities · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with clear cell renal cell carcinoma (ccRCC) typically face aggressive disease progression when metastasis occurs. Here, we screened and identified differentially expressed genes in three microarray datasets from the Gene Expression Omnibus database. We identified 112 differentially expressed genes with functional enrichment as candidate prognostic biomarkers. Lasso Cox regression suggested 10 significant oncogenic hub genes involved in earlier recurrence and poor prognosis of ccRCC. Receiver operating characteristic curves validated the specificity and sensitivity of the Cox regression penalty used to predict prognosis. The area under the curve indexes of the integrated genes scores were 0.758 and 0.772 for overall and disease-free survival, respectively. The prognostic values of

Indexed as

bioinformaticsClear cell renal cell carcinomametastasisprognosissignature

Identifiers

PMID32913492
PMCPMC7476160
OpenAlexW3085816249

What OpenQuestion 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 OpenQuestion graph.