Evidence map›Paper›PMID 26239303›Full record

ArticleInternational journal of molecular medicine2015

In-depth analysis of the critical genes and pathways in colorectal cancer.

Fuguo Liu, Fengzhi Ji, Yuling Ji, Yueping Jiang, Xueguo Sun, Yanyan Lu, Lingyun Zhang, Yue Han, Xishuang Liu

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  6. Rapid preliminary purity evaluation of tumor biopsies using deep learning approach.Computational and structural biotechnology journal · 2020
    Article
  7. Article
  8. Hypermethylation ofFrontiers in genetics · 2019
    Article
  9. Article
  10. 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 1 institution in 1 country.

Fuguo LiuDepartment of Gastroenterology, The Affiliated Hospital of Medical College, Qingdao University, Qingdao, Shandong 266003, P.R. China.
Fengzhi JiDepartment of Gastroenterology, The Affiliated Hospital of Medical College, Qingdao University, Qingdao, Shandong 266003, P.R. China.
Yuling JiStatistics Division, The Affiliated Hospital of Medical College, Qingdao University, Qingdao, Shandong 266003, P.R. China.
Yueping JiangDepartment of Gastroenterology, The Affiliated Hospital of Medical College, Qingdao University, Qingdao, Shandong 266003, P.R. China.
Xueguo SunDepartment of Gastroenterology, The Affiliated Hospital of Medical College, Qingdao University, Qingdao, Shandong 266003, P.R. China.
Yanyan LuDepartment of Gastroenterology, The Affiliated Hospital of Medical College, Qingdao University, Qingdao, Shandong 266003, P.R. China.
Lingyun ZhangDepartment of Gastroenterology, The Affiliated Hospital of Medical College, Qingdao University, Qingdao, Shandong 266003, P.R. China.
Yue HanDepartment of Gastroenterology, The Affiliated Hospital of Medical College, Qingdao University, Qingdao, Shandong 266003, P.R. China.
Xishuang LiuDepartment of Gastroenterology, The Affiliated Hospital of Medical College, Qingdao University, Qingdao, Shandong 266003, P.R. China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the molecular targets for colorectal cancer (CRC). Differentially expressed genes (DEGs) were screened between CRC and matched adjacent noncancerous samples. GENETIC_ASSOIATION_DB_DISEASE analysis was performed to identify CRC genes from the identified DEGs using the Database for Annotation, Visualization and Integrated Discovery, followed by Gene Οntology (GO) and Kyoto Encyclopedia of Genes and Genomes analysis for the CRC genes. A protein‑protein interaction (PPI) network was constructed for the CRC genes, followed by determination and analysis of the hub genes, in terms of the protein domains and spatial structure. In total, 35 CRC genes were determined, including 19 upregulated and 16 downregulated genes. Downregulated N‑acetyltransferase (NAT)1 and NAT2 were enriched in the caffeine metabolism pathway. The downregulated and upregulated genes were enriched in a number of GO terms and pathways, respectively. Cyclin D1 (CCND1) and proliferating cell nuclear antigen (PCNA) were identified as the hub genes in the PPI network. The C‑terminal and N‑terminal domains were similar in PCNA, but different in CCND1. The results suggested PCNA, CCND1, NAT1 and NAT2 for use as biomarkers to enable early diagnosis and monitoring of CRC. These results form a basis for developing therapies, which target the unique protein domains of PCNA and CCND1.

Indexed as

Colorectal NeoplasmsDatabases, GeneticGene Expression Regulation, NeoplasticGenes, NeoplasmNeoplasm ProteinsAnimalsDown-RegulationHumansNeoplasm Proteins

Identifiers

PMID26239303
PMCPMC4564077
OpenAlexW2118137855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.