Evidence map›Paper›PMID 32850813›Full record

ArticleFrontiers in cell and developmental biology2020

The Construction and Analysis of ceRNA Network and Patterns of Immune Infiltration in Colon Adenocarcinoma Metastasis.

Zhengyan Chang, Runzhi Huang, Wanting Fu, Jiehan Li, Guo Ji, Jinglei Huang, Weijun Shi, Huabin Yin, Weifeng Wang, Tong Meng and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

34 citing papers in PubMed, 44 citations in OpenAlex.

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  12. LncRNA and its role in gastric cancer immunotherapy.Frontiers in cell and developmental biology · 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

13 authors at 4 institutions in 1 country.

Zhengyan ChangDepartment of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Runzhi HuangDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wanting FuDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiehan LiDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Guo JiDepartment of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Jinglei HuangDepartment of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Weijun ShiDepartment of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Huabin YinDepartment of Orthopedics, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Weifeng WangDepartment of Central Laboratory, Shanghai Tenth People's Hospital, Shanghai, China.
Tong MengTongji University Cancer Center, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Tongji University, Shanghai, China.
Zongqiang HuangDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qing WeiDepartment of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Huanlong QinDepartment of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Shanghai Tenth People's Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CNTongji University · CNShanghai First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColon adenocarcinoma (COAD) is a malignant and lethal tumor in digestive system and distance metastasis lead to poor prognosis. The metastasis-specific ceRNAs (competitive endogenous RNAs) and tumor-infiltrating immune cells might associate with tumor prognosis and distance metastasis. Nonetheless, few studies have concentrated on ceRNAs and Immune cells in COAD.

methodsThe gene expression profile and clinical information of COAD were downloaded from TCGA and divided into two groups: primary tumors with or without distance metastasis. We applied comprehensive bioinformatics methods to analyze differential expression genes (DEGs) related to metastasis and establish the ceRNA networks. The Cox analysis and Lasso regression were utilized to screen the pivotal genes and prevent overfitting. Based on them, the prognosis prediction nomograms were established. The cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm was then applied to screen significant tumor immune-infiltrating cells associated with COAD metastasis and established another prognosis prediction model. Ultimately, co-expression analysis was applied to explore the relationship between key genes in ceRNA networks and significant immune cells. Multiple databases and preliminary clinical specimen validation were used to test the expressions of key biomarkers at the cellular and tissue levels.

resultsWe explored 1 significantly differentially expressed lncRNA, 1 significantly differentially expressed miRNA, 8 survival-related immune-infiltrating cells, 5 immune cells associated with distance metastasis. Besides, 3 pairs of important biomarkers associated with COAD metastasis were also identified: T cells follicular helper and hsa-miR-125b-5p (

conclusionIn this research, we found some significant ceRNAs (FAS and hsa-miR-125b-5p) and tumor-infiltrating immune cells (T cells follicular helper and Macrophages M0) might related to distance metastasis and prognosis of COAD. The nomograms could assist scientific and medical researchers in clinical management.

Indexed as

colon adenocarcinomacompeting endogenous RNA networkmetastasisprognosistumor-infiltrating immune cell

Identifiers

PMID32850813
PMCPMC7417319
OpenAlexW3046948258

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.