Cordycepin enhances anti-tumor immunity in breast cancer by enhanceing ALB expression

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Objective

The treatment of breast cancer still faces great challenges, and it is necessary to continuously explore effective drugs and targets to promote immune precision medicine. This study aims to investigate the immune-related regulatory mechanism of cordycepin in breast cancer.

Methods

Network pharmacology was employed to discovery the action of cordyceps on breast cancer targets, molecular docking was employed to analyze the interaction pattern between core components and targets, and biological information analysis was used to explore the target-related immune mechanism and verified in vitro experiments.

Results

The results of this study indicate that cordycepin can effectively inhibit breast cancer. The roles of cordycepin's active component and its target gene ALB were elucidated through the combined use of network pharmacology and molecular docking. Bioinformatics analysis revealed convincing associations between ALB and many immune pathway marker genes. ALB was inhibited in tumor expression, and cordycepin was found to enhance the expression of ALB in vitro to play an anti-tumor role.

Conclusion

Cordycepin regulates immune suppression of tumor, which is expected to open a new chapter of breast cancer immunotherapy.

Related collections

Most cited references 28

Record: found
Abstract: found
Article: found

Is Open Access

STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

Damian Szklarczyk, Annika L Gable, David Lyon … (2018)

Abstract Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information on protein–protein associations is incomplete and exhibits varying levels of annotation granularity and reliability. The STRING database aims to collect, score and integrate all publicly available sources of protein–protein interaction information, and to complement these with computational predictions. Its goal is to achieve a comprehensive and objective global network, including direct (physical) as well as indirect (functional) interactions. The latest version of STRING (11.0) more than doubles the number of organisms it covers, to 5090. The most important new feature is an option to upload entire, genome-wide datasets as input, allowing users to visualize subsets as interaction networks and to perform gene-set enrichment analysis on the entire input. For the enrichment analysis, STRING implements well-known classification systems such as Gene Ontology and KEGG, but also offers additional, new classification systems based on high-throughput text-mining as well as on a hierarchical clustering of the association network itself. The STRING resource is available online at https://string-db.org/.

0 comments Cited 6348 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

The Protein Data Bank.

H M Berman, J Westbrook, Z. Feng … (2000)

The Protein Data Bank (PDB; http://www.rcsb.org/pdb/ ) is the single worldwide archive of structural data of biological macromolecules. This paper describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information, and near-term plans for the future development of the resource.

0 comments Cited 3814 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells.

Taiwen Li, Jingyu Fan, Binbin Wang … (2017)

Recent clinical successes of cancer immunotherapy necessitate the investigation of the interaction between malignant cells and the host immune system. However, elucidation of complex tumor-immune interactions presents major computational and experimental challenges. Here, we present Tumor Immune Estimation Resource (TIMER; cistrome.shinyapps.io/timer) to comprehensively investigate molecular characterization of tumor-immune interactions. Levels of six tumor-infiltrating immune subsets are precalculated for 10,897 tumors from 32 cancer types. TIMER provides 6 major analytic modules that allow users to interactively explore the associations between immune infiltrates and a wide spectrum of factors, including gene expression, clinical outcomes, somatic mutations, and somatic copy number alterations. TIMER provides a user-friendly web interface for dynamic analysis and visualization of these associations, which will be of broad utilities to cancer researchers. Cancer Res; 77(21); e108-10. ©2017 AACR.

0 comments Cited 2688 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Beicheng Sun

Rong Deng

Journal

Journal ID (nlm-ta): Heliyon

Journal ID (iso-abbrev): Heliyon

Title: Heliyon

Publisher: Elsevier

ISSN (Electronic): 2405-8440

Publication date PMC-release: 25 April 2024

Publication date Collection: 15 May 2024

Publication date (Electronic): 25 April 2024

Volume: 10

Issue: 9

Electronic Location Identifier: e29903

Affiliations

[a ]Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210008, China

[b ]Department of General Surgery, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210008, China

[c ]Department of General Surgery, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, 210009, China

[d ]The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu 211100, China

Author notes

[* ]Corresponding author. dengrong1977@ 123456163.com

[** ]Corresponding author. sunbc@ 123456nju.edu.cn

[1]

These authors have contributed equally to this work and share first authorship.

Article

Publisher Item ID: S2405-8440(24)05934-6 Publisher ID: e29903

DOI: 10.1016/j.heliyon.2024.e29903

PMC ID: 11076851

PubMed ID: 38720766

SO-VID: 465cde9d-c9cf-4c0e-9d89-82b39c33e3c4

License:

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

History

Date received : 8 February 2024

Date revision received : 17 April 2024

Date accepted : 17 April 2024

Cordycepin enhances anti-tumor immunity in breast cancer by enhanceing ALB expression

Read this article at

Abstract

Objective

Methods

Results

Conclusion

Related collections

Karger: Oncology

Most cited references 28

STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

The Protein Data Bank.

TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells.

Author and article information

Contributors

Journal

Affiliations

Author notes

Article

History

Categories

Comments

Comment on this article

Similar content 492

Most referenced authors 1,104