Evidence map›Paper›PMID 33937014›Full record

ArticleFrontiers in oncology2021

Systematic Chromatin Accessibility Analysis Based on Different Immunological Subtypes of Clear Cell Renal Cell Carcinoma.

Shiqiang Zhang, Wenzhong Zheng, Donggen Jiang, Haiyun Xiong, Guolong Liao, Xiangwei Yang, He Ma, Jun Li, Miaojuan Qiu, Binbin Li and 4 more

Abstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Establishment of a Seven-Gene Signature Associated with CD8International journal of molecular sciences · 2023
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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

14 authors.

Shiqiang ZhangDepartment of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Wenzhong ZhengDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Donggen JiangDepartment of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Haiyun XiongDepartment of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Guolong LiaoDepartment of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Xiangwei YangDepartment of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
He MaDepartment of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Jun LiDepartment of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Miaojuan QiuResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Binbin LiResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Chunhui SunResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Jing ZhaoResearch Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Liling WangMaternal and Child Health Research Institute, Baoan Women's and Children's Hospital, Jinan University, Shenzhen, China.
Jun PangDepartment of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent research of clear cell renal cell carcinoma (ccRCC) is focused on the tumor immune microenvironment (TIME). Chromatin accessibility is critical for regulation of gene expression. However, its role in different immunological subtypes of ccRCC based on immune cell infiltration has not been systematically studied.

methodsFive hundred thirty patient data from The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma (TCGA-KIRC) were adopted to estimate immune cell infiltration. Twenty-four types of immune cells were evaluated with single-sample Gene Set Enrichment Analysis (ssGSEA). Patients were divided into two clusters based on immune cell infiltration. Systematic chromatin accessibility analysis was conducted based on the two clusters.

resultsWe compared the relative expression of the immune gene signatures among 530 patients of TCGA-KIRC using ssGSEA. Overall survival (OS) analysis revealed 10 types of immune cells were significantly associated with prognosis. Patients were divided into two clusters based on 24 types of immune cell infiltration. Immune cell signals as well as PD-1/PD-L1 signal were higher in cluster 1. Among the two clusters, 2,400 differential peaks were found in TCGA-KIRC Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) data. The distribution of differential peaks and prognosis-related immune cells in 23 chromosomes are essentially the same. There is no peak distribution downstream. The proportion of peaks upstream of the 5' transcription start site decreases, and both sides of binding regions of the TSS 0.1-1 kb becomes smaller. Enrichment analysis of GO and KEGG of these differential peaks showed that they are remarkably related to the immune regulation in tumor microenvironment. Known motifs and

conclusionThe abnormality of chromatin accessibility may play an important regulatory role in ccRCC immunity.

Indexed as

chromatin accessibilityclear cell renal cell carcinomaimmune cell infiltrationthe tumor microenvironmenttranscription factor

Identifiers

PMID33937014
PMCPMC8085385

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