Evidence map›Paper›PMID 33195415›Full record

ArticleFrontiers in molecular biosciences2020

Systematic Analysis of Coronavirus Disease 2019 (COVID-19) Receptor ACE2 in Malignant Tumors: Pan-Cancer Analysis.

Jukun Song, Jing Han, Feng Liu, Xianlin Chen, Shenqi Qian, Yadong Wang, Zhenyu Jia, Xiaofeng Duan, Xiangyan Zhang, Jianguo Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

12 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

10 authors at 2 institutions in 2 countries.

Jukun SongDepartment of Oral and Maxillofacial Surgery, Guizhou Provincial People's Hospital, Guizhou, China.
Jing HanDepartment of Respiratory and Critical Care Medicine, Guizhou Provincial People's Hospital, Guizhou, China.
Feng LiuDepartment of B Ultrasound, Guizhou Provincial People's Hospital, Guizhou, China.
Xianlin ChenDepartment of Oral and Maxillofacial Surgery, Guizhou Provincial People's Hospital, Guizhou, China.
Shenqi QianDepartment of Stomatology, Changshun County Medical Group Central Hospital, Guizhou, China.
Yadong WangDepartment of Oral and Maxillofacial Surgery, Guizhou Provincial People's Hospital, Guizhou, China.
Zhenyu JiaDepartment of Botany and Plant Sciences, University of California, Riverside, Riverside, CA, United States.
Xiaofeng DuanDepartment of Oral and Maxillofacial Surgery, Guizhou Provincial People's Hospital, Guizhou, China.
Xiangyan ZhangDepartment of Respiratory and Critical Care Medicine, Guizhou Provincial People's Hospital, Guizhou, China.
Jianguo ZhuDepartment of Urology, Guizhou Provincial People's Hospital, Guizhou, China.
Guizhou Provincial People's Hospital · CNUniversity of California, Riverside · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) was first detected in patients with pneumonia in December 2019 in China and it spread rapidly to the rest of the world becoming a global pandemic. Several observational studies have reported that cancer is a risk factor for COVID-19. On the other hand, ACE2, a receptor for the SARS-CoV-2 virus, was found to be aberrantly expressed in many tumors. However, the characterization of aberrant ACE2 expression in malignant tumors has not been elucidated. Here, we conducted a systematic analysis of the ACE2 expression profile across 31 types of tumors.

methodsDistribution of ACE2 expression was analyzed using the GTEx, CCLE, TCGA pan-cancer databases. We evaluated the effect of ACE2 on clinical prognosis using the Kaplan-Meier survival plot and COX regression analysis. Correlation between ACE2 and immune infiltration levels was investigated in various cancer types. Additionally, the correlation between ACE2 and immune neoantigen, TMB, microsatellite instability, Mismatch Repair Genes (MMRs), HLA gene members, and DNA Methyltransferase (DNMT) was investigated. The frequency of ACE2 gene mutation in various tumors was analyzed. Functional enrichment analysis was conducted in various cancer types using the GSEA method.

resultsIn normal tissues, ACE2 was highly expressed in almost all 31 organs tested. In cancer cell lines, the expression level of ACE2 was low to medium. Although aberrant expression was observed in most cancer types, high expression of ACE2 was not linked to OS, DFS, RFS, and DFI in most tumors in TCGA pan-cancer data. We found that ACE2 expression was significantly correlated with the infiltrating levels of macrophages and dendritic cells, CD4+ T cells, CD8+ T cells, and B cells in multiple tumors. A positive correlation between ACE2 expression and immune neoantigen, TMB, and microsatellite instability was found in multiple cancers. GSEA analysis which was carried out to determine the effect of ACE2 on tumors indicated that several cancer-associated pathways and immune-related pathways were hyperactivated in the high ACE2 expression group of most tumors.

conclusionThese findings suggest that ACE2 is not correlated with prognosis in most cancer types. However, elevated ACE2 is significantly correlated with immune infiltrating levels, including those of CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and DCs in multiple cancers, especially in lung and breast cancer patients. These findings suggest that ACE2 may affect the tumor environment in cancer patients with COVID-19.

Indexed as

ACE2COVID-19Pan-cancer analysisSARS-CoV-2TCGA

Identifiers

PMID33195415
PMCPMC7649796
OpenAlexW3093594599

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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.