Evidence map›Paper›PMID 34606125›Full record

ArticleJournal of clinical laboratory analysis2021

Identification of potential biomarkers associated with immune infiltration in papillary renal cell carcinoma.

Ran Deng, Jianpeng Li, Hong Zhao, Zhirui Zou, Jiangwei Man, Jinlong Cao, Li Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. BUB1B is a novel prognostic-related biomarker and correlated with immune infiltrates in lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 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

7 authors at 1 institution in 1 country.

Ran DengDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, China.ORCID https://orcid.org/0000-0002-9778-7561
Jianpeng LiDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, China.
Hong ZhaoDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, China.
Zhirui ZouDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, China.
Jiangwei ManDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, China.
Jinlong CaoDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, China.
Li YangDepartment of Urology, Lanzhou University Second Hospital, Lanzhou, China.ORCID https://orcid.org/0000-0003-1151-5942
Gansu Meteorological Bureau · CN

Funding

Gansu Provincial Education Department outstanding graduate "innovation star" project 2021CXZX-154The regulatory mechanism of AMPK in ischemic reperfusion injury and fibrosis in renal transplantation CY2015-YJRC08
6 · The paper itself

Abstract

backgroundImmunotherapeutic approaches have recently emerged as effective treatment regimens against various types of cancer. However, the immune-mediated mechanisms surrounding papillary renal cell carcinoma (pRCC) remain unclear. This study aimed to investigate the tumor microenvironment (TME) and identify the potential immune-related biomarkers for pRCC.

methodsThe CIBERSORT algorithm was used to calculate the abundance ratio of immune cells in each pRCC samples. Univariate Cox analysis was used to select the prognostic-related tumor-infiltrating immune cells (TIICs). Multivariate Cox regression analysis was performed to develop a signature based on the selected prognostic-related TIICs. Then, these pRCC samples were divided into low- and high-risk groups according to the obtained signature. Analyses using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were performed to investigate the biological function of the DEGs (differentially expressed genes) between the high- and low-risk groups. The hub genes were identified using a weighted gene co-expression network analysis (WGCNA) and a protein-protein interaction (PPI) analysis. The hub genes were subsequently validated by multiple clinical traits and databases.

resultsAccording to our analyses, nine immune cells play a vital role in the TME of pRCC. Our analyses also obtained nine potential immune-related biomarkers for pRCC, including TOP2A, BUB1B, BUB1, TPX2, PBK, CEP55, ASPM, RRM2, and CENPF.

conclusionIn this study, our data revealed the crucial TIICs and potential immune-related biomarkers for pRCC and provided compelling insights into the pathogenesis and potential therapeutic targets for pRCC.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAlgorithmsBiomarkers, TumorHumansLymphocytes, Tumor-InfiltratingProtein Interaction MapsTumor MicroenvironmentBiomarkers, Tumorbiomarkershub genepapillary renal cell carcinomatumor-infiltrating immune cellstumor microenvironment

Identifiers

PMID34606125
PMCPMC8605132
OpenAlexW3191689927

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.