Evidence map›Paper›PMID 27746583›Full record

ArticleDisease markers2016

Pathway Analysis Based on Attractor and Cross Talk in Colon Cancer.

Yanxia Liu, Lin Wang, Bingping Wang, Meng Yue, Yufeng Cheng

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2016. 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
0.5field-weighted citation impact, top 28% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Standardized Saponin Extract from Baiye No.1 Tea (Molecules (Basel, Switzerland) · 2020
    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

5 authors at 3 institutions in 1 country.

Yanxia LiuDepartment of Radiation Oncology, Qilu Hospital, Shandong University, Jinan, Shandong 250012, China; Department of Oncology, Shengli Oil Central Hospital, Dongying, Shandong 257034, China.ORCID 0000-0001-7311-0006
Lin WangDepartment of Radiation Oncology, Qilu Hospital, Shandong University, Jinan, Shandong 250012, China.ORCID 0000-0001-7069-4835
Bingping WangDepartment of Oncology, Shengli Oil Central Hospital, Dongying, Shandong 257034, China.ORCID 0000-0002-2039-4356
Meng YueDepartment of Gastroenterology, Jinan Central Hospital, Shandong University, Shandong 250013, China.ORCID 0000-0003-1058-054X
Yufeng ChengDepartment of Radiation Oncology, Qilu Hospital, Shandong University, Jinan, Shandong 250012, China.ORCID 0000-0002-8109-5974
Qilu Hospital of Shandong University · CNShengli Oilfield Central Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon cancer is the third and second most common cancer form in men and women worldwide. It is generally accepted that colon cancer mainly results from diet. The aim of this study was to identify core pathways which elucidated the molecular mechanisms in colon cancer. The microarray data of E-GEOD-44861 was downloaded from ArrayExpress database. All human pathways were obtained from Kyoto Encyclopedia of Genes and Genomes database. In total, 135 differential expressed genes (DEG) were identified using Linear Models for Microarray Data package. Differential pathways were identified with the method of attractor after overlapping with DEG. Pathway cross talk network (PCN) was constructed by combining protein-protein interactions and differential pathways. Cross talks of all pathways were obtained in PCN. There were 65 pathways with RankProd (RP) values < 0.05 and 16 pathways with Impact Factors (IF) values > 100. Five pathways were satisfied with

Indexed as

Gene Regulatory NetworksProtein Interaction MapsColonic NeoplasmsHumans

Identifiers

PMID27746583
PMCPMC5056002
OpenAlexW2521588999

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.