Evidence map›Paper›PMID 35847359›Full record

ArticleJournal of oncology2022

Construction of a Novel MYC-Associated ceRNA Regulatory Network to Identify Prognostic Biomarkers in Colon Adenocarcinoma.

Rui Xin, Xiao-Mei Tang, Ying-Jie Jiang, Fei Yu, Sha Li, Cheng-You Jia, Gao-Ren Wang, Da Fu, Ji-Bin Liu, Yu-Shui Ma

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 5 institutions in 1 country.

Rui XinDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.ORCID https://orcid.org/0000-0002-6479-1070
Xiao-Mei TangDepartment of General Surgery, Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
Ying-Jie JiangDepartment of Pathology, Navy Military Medical University Affiliated Changhai Hospital, Shanghai 200433, China.
Fei YuDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Sha LiInstitute of Oncology, Affiliated Tumor Hospital of Nantong University, Nantong 226631, Jiangsu, China.
Cheng-You JiaDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
Gao-Ren WangInstitute of Oncology, Affiliated Tumor Hospital of Nantong University, Nantong 226631, Jiangsu, China.
Da FuDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.ORCID https://orcid.org/0000-0002-2079-6531
Ji-Bin LiuInstitute of Oncology, Affiliated Tumor Hospital of Nantong University, Nantong 226631, Jiangsu, China.ORCID https://orcid.org/0000-0001-9698-3360
Yu-Shui MaCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.ORCID https://orcid.org/0000-0002-5728-7458
Tongji University · CNNantong University · CNRuijin Hospital · CNSecond Military Medical University · CNShanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) includes colon adenocarcinoma (COAD) and rectal adenocarcinoma (READ). Competitive endogenous RNA (ceRNA) is crucial for cancer pathogenesis. Abnormal expression of MYC is generally associated with a poor colon adenocarcinoma prognosis. The present study aimed to identify a novel MYC-associated ceRNA regulatory network and identify potential prognostic markers associated with COAD. We obtained the transcriptome sequencing profiles of 462 COAD cases from the TCGA database and analyzed differentially expressed genes (DEGs) in MYC high expression (MYC

Identifiers

PMID35847359
PMCPMC9277212
OpenAlexW4284690703

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.