Evidence map›Paper›PMID 34900664›Full record

ArticleFrontiers in oncology2021

Identification of CCL4 as an Immune-Related Prognostic Biomarker Associated With Tumor Proliferation and the Tumor Microenvironment in Clear Cell Renal Cell Carcinoma.

Lu Zhang, Mengzhao Zhang, Lu Wang, Jianlong Li, Tao Yang, Qiuya Shao, Xiao Liang, Minghai Ma, Nan Zhang, Minxuan Jing and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 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
1.8field-weighted citation impact, top 14% 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, 15 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

12 authors at 3 institutions in 1 country.

Lu ZhangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Mengzhao ZhangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Lu WangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jianlong LiDepartment of Urology, Xi'an NO.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, China.
Tao YangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Qiuya ShaoDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiao LiangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Minghai MaDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Nan ZhangDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Minxuan JingDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Rundong SongDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jinhai FanDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNMinistry of Education of the People's Republic of China · CNNorthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The last decade has witnessed revolutionary advances taken in immunotherapy for various malignant tumors. However, immune-related molecules and their characteristics in the prediction of clinical outcomes and immunotherapy response in clear cell renal cell carcinoma (ccRCC) remain largely unclear. C-C Motif Chemokine Ligand 4 (CCL4) was extracted from the intersection analysis of common differentially expressed genes (DEGs) of four microarray datasets from the Gene Expression Omnibus database and immune-related gene lists in the ImmPort database using Cytoscape plug-ins and univariate Cox regression analysis. Subsequential analysis revealed that CCL4 was highly expressed in ccRCC patients, and positively correlated with multiple clinicopathological characteristics, such as grade, stage and metastasis, while negatively with overall survival (OS). We performed gene set enrichment analysis (GSEA) and gene set variant analysis (GSVA) with gene sets coexpressed with CCL4, and observed that gene sets positively related to CCL4 were enriched in tumor proliferation and immune-related pathways while metabolic activities in the negatively one. To further explore the correlation between CCL4 and immune-related biological process, the CIBERSORT algorithm, ESTIMATE method, and tumor mutational burden (TMB) score were employed to evaluate the tumor microenvironment (TME) characteristics of each sample and confirmed that high CCL4 expression might give rise to high immune cell infiltration. Moreover, correlation analysis revealed that CCL4 was positively correlated with common immune checkpoint genes, such as programmed cell death protein 1 (PD-1), cytotoxic T-lymphocyte-associated protein 4 (CTLA4), and lymphocyte activating 3 (LAG3). Overall, this study demonstrated that CCL4 might serve as a potential immune-related prognostic biomarker to predict clinical outcomes and immunotherapy response in ccRCC. Moreover, CCL4 might contribute to TME modulation, indicating the mechanism CCL4 involved in tumor proliferation and metastasis, which could provide novel therapeutic perceptions for ccRCC patients.

Indexed as

CCL4clear cell renal cell carcinomaimmune checkpointsimmune infiltrationtumor microenvironmenttumor proliferation

Identifiers

PMID34900664
PMCPMC8652234
OpenAlexW3215178801

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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.