Evidence map›Paper›PMID 35330401›Full record

ArticleJournal of personalized medicine2022

Bioinformatics Analyses Identify the Therapeutic Potential of ST8SIA6 for Colon Cancer.

Chou-Yuan Ko, Tian-Huei Chu, Ching-Cheng Hsu, Hsin-Pao Chen, Shih-Chung Huang, Chen-Lin Chang, Shiow-Jyu Tzou, Tung-Yuan Chen, Chia-Chen Lin, Pei-Chun Shih and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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  8. Cancer pharmacoinformatics: Databases and analytical tools.Functional & integrative genomics · 2024
    Review
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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

13 authors at 6 institutions in 2 countries.

Chou-Yuan KoDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Kaohsiung Armed Forces General Hospital, Kaohsiung 80284, Taiwan.
Tian-Huei ChuMedical Laboratory, Medical Education and Research Center, Kaohsiung Armed Forces General Hospital, Kaohsiung 80284, Taiwan.
Ching-Cheng HsuDepartment of Internal Medicine, Division of Cardiology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Hsin-Pao ChenDepartment of Surgery, E-DA Hospital, I-Shou University, Kaohsiung 82445, Taiwan.
Shih-Chung HuangInstitute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Chen-Lin ChangInstitute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Shiow-Jyu TzouInstitute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Tung-Yuan ChenDivision of Colorectal Surgery, Department of Surgery, Kaohsiung Armed Forces General Hospital, Kaohsiung 80284, Taiwan.
Chia-Chen LinClinical Pathology Department, Chi Mei Medical Center, Tainan 71004, Taiwan.
Pei-Chun ShihInstitute of Basic Medical Science, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.
Chung-Hsien LinInstitute of Basic Medical Science, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.
Chuan-Fa ChangInstitute of Basic Medical Science, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.
Yung-Kuo LeeMedical Laboratory, Medical Education and Research Center, Kaohsiung Armed Forces General Hospital, Kaohsiung 80284, Taiwan.ORCID 0000-0003-1638-8049
National Sun Yat-sen University · TWKaohsiung Armed Forces General Hospital · TWChi Mei Medical Center · TWI-Shou University · TWNational Cheng Kung University · TWThe University of Texas Southwestern Medical Center · US

Funding

Kaohsiung Armed Forces General Hospital, Taiwan KAFGH_D_111049Ministry of Science and Technology, Taiwan 107-2314-B-650 -013 -; 108-2314-B-650 -010 -
6 · The paper itself

Abstract

Sialylation of glycoproteins is modified by distinct sialyltransferases such as ST3Gal, ST6Gal, ST6GalNAc, or ST8SIA with α2,3-, α2,6-, or α2,8-linkages. Alteration of these sialyltransferases causing aberrant sialylation is associated with the progression of colon cancer. However, among the ST8- sialyltransferases, the role of ST8SIA6 in colon cancer remains poorly understood. In this study, we explored the involvement of ST8SIA6 in colon cancer using multiple gene databases. The relationship between ST8SIA6 expression and tumor stages/grades was investigated by UALCAN analysis, and Kaplan-Meier Plotter analysis was used to analyze the expression of ST8SIA6 on the survival outcome of colon cancer patients. Moreover, the biological functions of ST8SIA6 in colon cancer were explored using LinkedOmics and cancer cell metabolism gene DB. Finally, TIMER and TISMO analyses were used to delineate ST8SIA6 levels in tumor immunity and immunotherapy responses, respectively. ST8SIA6 downregulation was associated with an advanced stage and poorly differentiated grade; however, ST8SIA6 expression did not affect the survival outcomes in patients with colon cancer. Gene ontology analysis suggested that ST8SIA6 participates in cell surface adhesion, angiogenesis, and membrane vesicle trafficking. In addition, ST8SIA6 levels affected immunocyte infiltration and immunotherapy responses in colon cancer. Collectively, these results suggest that ST8SIA6 may serve as a novel therapeutic target towards personalized medicine for colon cancer.

Indexed as

bioinformatics applicationbiological networkcolon adenocarcinoma (COAD)immunotherapy responsesST8 sialyltransferases 6tumor immunity

Identifiers

PMID35330401
PMCPMC8953768
OpenAlexW4221043741

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.