Evidence map›Paper›PMID 34002666›Full record

ArticleBioengineered2021

Potential prognostic biomarkers related to immunity in clear cell renal cell carcinoma using bioinformatic strategy.

Zhenfei Xiang, Erdong Shen, Mingyao Li, Danfei Hu, Zhanchun Zhang, Senquan Yu

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 25 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

6 authors at 3 institutions in 1 country.

Zhenfei XiangDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Erdong ShenDepartment of Oncology, The First People's Hospital of Yueyang, Yueyang, Hunan, China.
Mingyao LiDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Danfei HuDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Zhanchun ZhangDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Senquan YuDepartment of Medical Oncology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.ORCID 0000-0001-5293-5666
Ningbo University · CNYueyang Second People's Hospital · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clear cell renal cell carcinoma (ccRCC) is the main pathological subtype of renal cell carcinoma. Immune system evasion, one hallmark of cancer, contributes to cancer cells in escaping from the attack of immune cells. In order to identify potential prognostic biomarkers in ccRCC patients and immune cells fraction, we collected and downloaded profiles from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database. We obtained 2 modules significantly associated with tumor stage and immune cells; functional enrichment analysis showed that genes in the module 'yellow' were significantly enriched in proteins targeting to membrane and ribosome, as well as the oxidative phosphorylation pathway, while genes in the module 'green' mainly participate in molecular functions associated with immunity like activation of T cells. Four LncRNAs (

Indexed as

Computational BiologyImmunityBiomarkers, TumorCarcinoma, Renal CellCluster AnalysisDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateKidney NeoplasmsMultigene FamilyMultivariate AnalysisNeoplasm StagingPrognosisBiomarkers, TumorClear cell renal cell carcinomaimmune infiltrationprognostic biomarkerWGCNA

Identifiers

PMID34002666
PMCPMC8806734
OpenAlexW3160579133

What OpenQuestion holds

Textmetadata
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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.