Evidence map›Paper›PMID 32081834›Full record

ArticleAging2020

Identification of biomarkers related to CD8

Jiaxing Lin, Meng Yu, Xiao Xu, Yutao Wang, Haotian Xing, Jun An, Jieping Yang, Chaozhi Tang, Dan Sun, Yuyan Zhu

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 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 74 citations in OpenAlex.

  1. Establishment of a Seven-Gene Signature Associated with CD8International journal of molecular sciences · 2023
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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

10 authors at 2 institutions in 1 country.

Jiaxing LinDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China.
Meng YuDepartment of Reproductive Biology and Transgenic Animal, China Medical University, Shenyang 110001, Liaoning, China.
Xiao XuDepartment of Pediatric Intensive Care Unit, The Shengjing Hospital of China Medical University, Shenyang 110001, Liaoning, China.
Yutao WangDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China.
Haotian XingDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China.
Jun AnDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China.
Jieping YangDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China.
Chaozhi TangDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China.
Dan SunDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China.
Yuyan ZhuDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, China.
China Medical University · CNFirst Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is an extremely common kind of kidney cancer in adults. Immunotherapy and targeted therapy are particularly effective at treating ccRCC. In this study, weighted gene co-expression network analysis and a deconvolution algorithm that quantifies the cellular composition of immune cells were used to analyze ccRCC expression data from the Gene Expression Omnibus database, and identify modules related to CD8

Indexed as

Lymphocytes, Tumor-InfiltratingAntigens, CDBiomarkers, TumorCarcinoma, Renal CellCD8-Positive T-LymphocytesChemokine CCL5Gene ExpressionGene Regulatory NetworksHumansKidney NeoplasmsPrognosisAntigens, CDBiomarkers, TumorChemokine CCL5CCL5CD8+ T cellsCIBERSORTclear cell renal cell carcinoma (ccRCC)weighted gene co-expression network analysis (WGCNA)

Identifiers

PMID32081834
PMCPMC7066925
OpenAlexW3006999772

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.