Evidence map›Paper›PMID 32175564›Full record

ArticleBioscience reports2020

The construction and analysis of tumor-infiltrating immune cells and ceRNA networks in metastatic adrenal cortical carcinoma.

Runzhi Huang, Ziqi Liu, Tingli Tian, Dianwen Song, Penghui Yan, Huabin Yin, Peng Hu, Xiaolong Zhu, Yihan Liu, Zhenyu Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2020. 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
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 13 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

13 authors at 3 institutions in 1 country.

Runzhi HuangDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Ziqi LiuSchool of Mathematical Sciences of Tongji University, Shanghai 200092, China.
Tingli TianTongji University School of Medicine, Tongji University, Shanghai 200092, China.
Dianwen SongDepartment of Orthopedics, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200080, China.
Penghui YanDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Huabin YinDepartment of Orthopedics, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200080, China.
Peng HuDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Xiaolong ZhuDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Yihan LiuTongji University School of Medicine, Tongji University, Shanghai 200092, China.
Zhenyu LiTongji University School of Medicine, Tongji University, Shanghai 200092, China.
Tong MengDivision of Spine, Department of Orthopedics, Tongji Hospital affiliated to Tongji University School of Medicine, Shanghai 200065, China.
Jie ZhangShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Shanghai 200120, China.
Zongqiang HuangDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Tongji University · CNFirst Affiliated Hospital of Zhengzhou University · CNShanghai First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo construct and analyze tumor-infiltrating immune cell and ceRNA (competitive endogenous RNA) networks in metastatic adrenal cortical carcinoma (ACC).

methodsA ceRNA network was established to identify the ceRNAs involved in metastasis of ACC based on 92 samples from TCGA, including 18 cases of metastasis and 74 cases of non-metastatic primary tumors. And the algorithm "cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT)" was used to quantify the proportion of immune cells in ACC. In addition, predictive nomograms based on the types of important immune cells or ceRNAs were constructed to predict ACC prognosis. Moreover, we evaluated the relationships between metastatic ACC-specific immune cells and ceRNA networks to identify the potential immune gene characteristics.

resultsTen prognostic biomarkers were identified as key members of the ceRNA network and three tumor-infiltrating immune cells were identified by CIBERSORT algorithm. Some important co-expression patterns between immune cells and ceRNAs network indicate significant correlation between Macrophages M0 and hsa-miR-130b-3p (P < 0.001), Macrophages M0 and H2AFX (P = 0.003).

conclusionsThe present study inferred that the metastasis-related ceRNAs of H2AFX, hsa-miR-130b-3p and Macrophages M0 might play important roles in ACC metastasis.

Indexed as

Adrenal Cortex NeoplasmsAdrenocortical CarcinomaBiomarkers, TumorGene ExpressionGene Expression ProfilingGene Regulatory NetworksHumansLymphocytes, Tumor-InfiltratingMicroRNAsNeoplasm MetastasisNomogramsPrognosisRNA, Long NoncodingRNA, MessengerBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, MessengerAdrenal cortical carcinomaceRNA networkCIBERSORTImmune cellMetastasisNomogram

Identifiers

PMID32175564
PMCPMC7103591
OpenAlexW3012506191

What OpenQuestion holds

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LicenceCC BY
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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.