Evidence map›Paper›PMID 33042428›Full record

ArticleAmerican journal of translational research2020

Assessment for prognostic value of differentially expressed genes in immune microenvironment of clear cell renal cell carcinoma.

Xiaoxue Yin, Xingming Zhang, Zhenhua Liu, Guangxi Sun, Xudong Zhu, Haoran Zhang, Sha Zhu, Jinge Zhao, Junru Chen, Pengfei Shen and 4 more

Abstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Xiaoxue YinDepartment of Pathology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Xingming ZhangDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Zhenhua LiuDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Guangxi SunDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Xudong ZhuDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Haoran ZhangDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Sha ZhuDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Jinge ZhaoDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Junru ChenDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Pengfei ShenDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Jia WangDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Ni ChenDepartment of Pathology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Qiao ZhouDepartment of Pathology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.
Hao ZengDepartment of Urology, West China Hospital, Sichuan University Chengdu 610041, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-infiltrating immune cells have been recognized to be associated with prognosis and response to immunotherapy; however, genes related to immune microenvironment of clear cell renal cell carcinoma (ccRCC) remains unclear. To better understand the effects of genes involved in immune and stromal cells on prognosis, we used Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma (TCGA-KIRC), DAVID database and ESTMATE algorithm, and divided the patients into low and high groups according to immune (median: 1038.45) and stromal scores (median: 667.945), respectively. We found the immune scores were significantly correlated with clinicopathological parameters and overall survival (OS). Based on immune scores, 890 DEGs were significantly associated with OS among the 1433 up-regulated genes. Based on top 10 DEGs (IL10RA, FCER1G, SASH3, TIGIT, RHOH, IL12RB1, AIF1, LPXN, LAPTM5 and SP140), cases with number of up-regulated genes ≥ 5 were associated poor OS (P = 0.002). In addition, the mean differences of percentages of CD8 T cells (11.32%), CD4 memory resting T cells (-4.52%) and mast resting cells (-3.55%) between low and high immune scores were the most significant. Thus, combination of these genes might use to predict the efficacy of immunotherapy. Further analyses of these genes were warrant to explore their potential association with the prognosis of ccRCC.

Indexed as

Clear cell renal cell carcinomadifferentially expressed genesimmune microenvironmentprognosis

Identifiers

PMID33042428
PMCPMC7540144

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