Evidence map›Paper›PMID 34537809›Full record

ArticleCell death discovery2021

A costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma.

Xiaoliang Hua, Shengdong Ge, Jiong Zhang, Haibing Xiao, Sheng Tai, Cheng Yang, Li Zhang, Chaozhao Liang

Open access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 29 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

8 authors at 2 institutions in 1 country.

Xiaoliang HuaDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.ORCID http://orcid.org/0000-0001-5095-8872
Shengdong GeDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.ORCID http://orcid.org/0000-0001-8187-9894
Jiong ZhangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Haibing XiaoDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Sheng TaiDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Cheng YangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China. chengyang_md@163.com.ORCID http://orcid.org/0000-0002-6663-3017
Li ZhangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China. lzhang@ahmu.edu.cn.ORCID http://orcid.org/0000-0003-2599-952X
Chaozhao LiangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China. liang_chaozhao@ahmu.edu.cn.ORCID http://orcid.org/0000-0003-2317-1323
Anhui Medical University · CNAnhui University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Costimulatory molecules have been proven to enhance antitumor immune responses, but their roles in clear cell renal cell carcinoma (ccRCC) remain unexplored. In this study, we aimed to explore the gene expression profiles of costimulatory molecule genes in ccRCC and construct a prognostic signature to improve treatment decision-making and clinical outcomes. We performed the first comprehensive analysis of costimulatory molecules in patients with ccRCC and identified 13 costimulatory molecule genes with prognostic values and diagnostic values. Consensus clustering analysis based on these 13 costimulatory molecular genes showed different distribution patterns and prognostic differences for the two clusters identified. Then, a costimulatory molecule-related signature was constructed based on these 13 costimulatory molecular genes, and validated in an external dataset, showing good performance for predicting a patient's prognosis. The signature was an independent risk factor for ccRCC patients and was significantly correlated with patients' clinical factors, which could be used as a complement for clinical factors. In addition, the signature was associated with the tumor immune microenvironment and the response to immunotherapy. Patients identified as high-risk based on our signature exhibited a high mutation frequency, a high level of immune cell infiltration, and an immunosuppressive microenvironment. High-risk patients tended to have high cytolytic activity scores and immunophenoscore of CTLA4 and PD1/PD-L1/PD-L2 blocker than low-risk patients, suggesting these patients may be more suitable for immunotherapy. Therefore, our signature could provide clinicians with prognosis predictions and help guide treatment for ccRCC patients.

Identifiers

PMID34537809
PMCPMC8449780
OpenAlexW3200066971

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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.