Evidence map›Paper›PMID 31612015›Full record

ArticleOncology letters2019

Four targeted genes for predicting the prognosis of colorectal cancer: A bioinformatics analysis case.

Qinglai Bian, Jiaxu Chen, Wenqi Qiu, Chenxi Peng, Meifang Song, Xuebin Sun, Yueyun Liu, Fengmin Ding, Jianbei Chen, Liqing Zhang

Abstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. CEACAM7 Expression and DNA Methylation: Prognostic Biomarkers for Lung Adenocarcinoma in African Americans.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Article
  3. Article
  4. Article
  5. Old and New Blood Markers in Human Colorectal Cancer.International journal of molecular sciences · 2022
    Review
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  15. Article
  16. Review
  17. Article
  18. BioMed research international · 2020
    Article
  19. 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.

Qinglai BianSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.
Jiaxu ChenSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.
Wenqi QiuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.
Chenxi PengSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.
Meifang SongSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.
Xuebin SunSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.
Yueyun LiuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.
Fengmin DingSchool of Basic Medical Science, Hubei University of Chinese Medicine, Wuhan, Hubei 430065, P.R. China.
Jianbei ChenSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.
Liqing ZhangDepartment of Computer Science, Virginia Tech, Blacksburg, VA 24060, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular mechanisms underlying the development and progression of colorectal cancer (CRC) have not been clarified. The purpose of the present study was to identify key genes that may serve as novel therapeutic targets or prognostic predictors in patients with CRC using bioinformatics analysis. Four gene expression datasets were downloaded from the Gene Expression Omnibus database, which revealed 19 upregulated and 34 downregulated differentially expressed genes (DEGs). The downregulated DEGs were significantly enriched in eight pathways according to Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. A protein-protein interaction network was constructed with 52 DEGs and 458 edges. Ten key genes were identified according to the degree value, betweenness centrality and closeness centrality. Survival analysis revealed that low expression of four of the ten genes, carcinoembryonic antigen related cell adhesion molecule 7 (CEACAM7), solute carrier family 4 member 4 (SLC4A4), glucagon (GCG) and chloride channel accessory 1 (CLCA1) genes, were associated with unfavorable prognosis in CRC. Furthermore, gene set enrichment analysis revealed that two pathways were significantly enriched in the CEACAM7 low-expression group. Thus, CEACAM7, SLC4A4, GCG and CLCA1 may be prognostic markers or therapeutic targets of CRC. Low CEACAM7 expression may be associated with the activation of glycosaminoglycan biosynthesis-chondroitin sulfate and extracellular matrix receptor interaction pathways and may affect the prognosis of CRC.

Indexed as

bioinformaticscolorectal cancergenesprognosis

Identifiers

PMID31612015
PMCPMC6781647

What OpenQuestion holds

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Registered trials

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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.