Evidence map›Paper›PMID 28386190›Full record

ArticleSaudi journal of biological sciences2017

Establishment of apoptotic regulatory network for genetic markers of colorectal cancer and optimal selection of traditional Chinese medicine target.

Tongde Tian, Chuanliang Chen, Feng Yang, Jingwen Tang, Junwen Pei, Bian Shi, Ning Zhang, Jianhua Zhang

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Antitumor Effect of Si-Jun-Zi Decoction on SGC7901 Gastric Cancer Cells by CMTM2 Activation.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  2. Article
  3. Article
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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

8 authors at 2 institutions in 1 country.

Tongde TianIntegrated TCM and Western Medicine Department, Cancer Hospital Affiliated to Zhengzhou University, No. 127 Dongming Rd., Zhengzhou, Henan Province 450008, China.
Chuanliang ChenHospital Office, People's Hospital of Zhengzhou University, No. 7 Weiwu Rd., Zhengzhou, Henan Province 450003, China.
Feng YangIntegrated TCM and Western Medicine Department, Cancer Hospital Affiliated to Zhengzhou University, No. 127 Dongming Rd., Zhengzhou, Henan Province 450008, China.
Jingwen TangIntegrated TCM and Western Medicine Department, Cancer Hospital Affiliated to Zhengzhou University, No. 127 Dongming Rd., Zhengzhou, Henan Province 450008, China.
Junwen PeiIntegrated TCM and Western Medicine Department, Cancer Hospital Affiliated to Zhengzhou University, No. 127 Dongming Rd., Zhengzhou, Henan Province 450008, China.
Bian ShiIntegrated TCM and Western Medicine Department, Cancer Hospital Affiliated to Zhengzhou University, No. 127 Dongming Rd., Zhengzhou, Henan Province 450008, China.
Ning ZhangMedical Engineering Technology and Data Mining Institute of Zhengzhou University, No. 100 Science Ave., Gaoxin Dist., Zhengzhou, Henan Province 450001, China.
Jianhua ZhangMedical Engineering Technology and Data Mining Institute of Zhengzhou University, No. 100 Science Ave., Gaoxin Dist., Zhengzhou, Henan Province 450001, China.
Zhengzhou University · CNHenan Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper aimed to screen out genetic markers applicable to early diagnosis for colorectal cancer and establish apoptotic regulatory network model for colorectal cancer, and to analyze the current situation of traditional Chinese medicine (TCM) target, thereby providing theoretical evidence for early diagnosis and targeted therapy of colorectal cancer. Taking databases including CNKI, VIP, Wanfang data, Pub Med, and MEDLINE as main sources of literature retrieval, literatures associated with genetic markers that are applied to early diagnosis of colorectal cancer were searched and performed comprehensive and quantitative analysis by Meta analysis, hence screening genetic markers used in early diagnosis of colorectal cancer. KEGG analysis was employed to establish apoptotic regulatory network model based on screened genetic markers, and optimization was conducted on TCM targets. Through Meta analysis, seven genetic markers were screened out, including WWOX, K-ras, COX-2, P53, APC, DCC and PTEN, among which DCC has the highest diagnostic efficiency. Apoptotic regulatory network was built by KEGG analysis. Currently, it was reported that TCM has regulatory function on gene locus in apoptotic regulatory network. The apoptotic regulatory model of colorectal cancer established in this study provides theoretical evidence for early diagnosis and TCM targeted therapy of colorectal cancer in clinic.

Indexed as

Colorectal cancerKEGG analysisMeta analysisTraditional Chinese medicine

Identifiers

PMID28386190
PMCPMC5372422
OpenAlexW2582954046

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.