Evidence map›Paper›PMID 38081888›Full record

ArticleScientific reports2023

CHEK2 is a potential prognostic biomarker associated with immune infiltration in clear cell renal cell carcinoma.

Qihang Wu, Cheng Fang, Xue Wang, Shuaishuai Huang, Guobin Weng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 9 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

5 authors at 2 institutions in 1 country.

Qihang WuHealth Science Center, Ningbo University, Ningbo, Zhejiang, China.
Cheng FangDepartment of Urology, Ningbo Yinzhou No. 2 Hospital, Ningbo, Zhejiang, China.
Xue WangUrology and Nephrology Institute of Ningbo University, Ningbo Yinzhou No. 2 Hospital, Ningbo, Zhejiang, China.
Shuaishuai HuangUrology and Nephrology Institute of Ningbo University, Ningbo Yinzhou No. 2 Hospital, Ningbo, Zhejiang, China.
Guobin WengDepartment of Urology, Ningbo Yinzhou No. 2 Hospital, Ningbo, Zhejiang, China. nbuurology@126.com.
Ningbo University · CNNingbo No. 2 Hospital · CN

Funding

Medicine and Health Project of Zhejiang Province 2019KY630
6 · The paper itself

Abstract

Checkpoint kinase 2 (CHEK2) plays a crucial role in responding to DNA damage and is linked to diverse cancer types. However, its significance in the prediction of prognosis and impacts on the immune status of clear cell renal cell carcinoma (ccRCC) remains unclear. This study aimed to identify the role of CHEK2 in prognosis and immune microenvironment of ccRCC. We analyzed transcriptome and clinicopathological data from the cancer genome atlas (TCGA) database and conducted functional enrichment analysis to explore molecular mechanisms. The relationship between CHEK2 and immune infiltration was evaluated, and drug sensitivity analysis was performed using the CellMiner database. The results showed that CHEK2 was an independent predictor of ccRCC prognosis and was closely associated with immune-related processes. Additionally, high expression of CHEK2 was linked to resistance to certain targeted drugs. These findings suggest that CHEK2 could serve as a biomarker for ccRCC, providing insights into tumor immune microenvironment alterations and immunotherapeutic response. Further investigation is needed to fully understand the potential of CHEK2 as a prognostic predictor and therapeutic target for ccRCC.

Indexed as

CarcinomaCarcinoma, Renal CellKidney NeoplasmsCheckpoint Kinase 2HumansPrognosisTumor MicroenvironmentCheckpoint Kinase 2CHEK2 protein, human

Identifiers

PMID38081888
PMCPMC10713979
OpenAlexW4389564571

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.