Evidence map›Paper›PMID 35281862›Full record

ArticleJournal of Cancer2022

Down-regulated C4orf19 confers poor prognosis in colon adenocarcinoma identified by gene co-expression network.

Wanpeng Wang, Xiaolu Lin, Ran Yu, Suqin Zhou, Yanyan Liu, Haifeng Jia, Feng Han, Yanzhi Bu, Juan Pu

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors at 2 institutions in 1 country.

Wanpeng WangDepartment of Radiotherapy, Lianshui County People's Hospital, Kangda college of Nanjing Medical University, Huai'an city, Jiangsu Province 223400, China.
Xiaolu LinDepartment of Digestive Endoscopy, Fujian Provincial Hospital, Provincial Clinic Medical College, Fujian Medical University, Fuzhou city, Fujian Province 350001, China.
Ran YuDepartment of Central Laboratory, Lianshui County People's Hospital, Kangda college of Nanjing Medical University, Huai'an city, Jiangsu Province 223400, China.
Suqin ZhouDepartment of Central Laboratory, Lianshui County People's Hospital, Kangda college of Nanjing Medical University, Huai'an city, Jiangsu Province 223400, China.
Yanyan LiuDepartment of Radiotherapy, Lianshui County People's Hospital, Kangda college of Nanjing Medical University, Huai'an city, Jiangsu Province 223400, China.
Haifeng JiaDepartment of General Surgery, Lianshui County People's Hospital, Kangda college of Nanjing Medical University, Huai'an city, Jiangsu Province 223400, China.
Feng HanDepartment of General Surgery, Lianshui County People's Hospital, Kangda college of Nanjing Medical University, Huai'an city, Jiangsu Province 223400, China.
Yanzhi BuDepartment of General Surgery, Lianshui County People's Hospital, Kangda college of Nanjing Medical University, Huai'an city, Jiangsu Province 223400, China.
Juan PuDepartment of Radiotherapy, Lianshui County People's Hospital, Kangda college of Nanjing Medical University, Huai'an city, Jiangsu Province 223400, China.
Nanjing Medical University · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon adenocarcinoma (COAD) is the most common histologic subtype of colorectal cancer (CRC), and its prognosis is poor. Unlike traditional research in molecular biology, which is limited to analyzing the function of a single gene or protein in malignant tumors. The Weighted gene correlation network analysis (WGCNA) technique is used to describe the gene association model among different samples in order to identify highly collaborative genes. In this study, a computational strategy was used to conduct a systematic study of prognosis-related genes (PRGs) of COAD from the TCGA database. PRGs were subsequently used for WGCNA, which included 379 COAD patient expression profiles and 39 controls. As a consequence, nine gene modules were built. Among these, the brown module had not only a negative relationship with COAD, but also simultaneously in inverse relationship with the clinical stage, stage T, stage M and stage N. C4orf19, which was identified as one of the DEG and hub genes in the brown module by calculating modular connectivity, has a negative correlation with the clinical stage and TMN stage. In addition, the downward-regulated C4orf19 protein was detected in COAD clinical specimens. Finally,

Indexed as

C4orf19Colon adenocarcinoma (COAD)Colorectal cancer (CRC)Prognosisweighted gene co-expression network analysis (WGCNA)

Identifiers

PMID35281862
PMCPMC8899380
OpenAlexW4210339663

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.