Evidence map›Paper›PMID 34158025›Full record

ReviewJournal of biomedical science2021

Systems glycobiology for discovering drug targets, biomarkers, and rational designs for glyco-immunotherapy.

Austin W T Chiang, Hratch M Baghdassarian, Benjamin P Kellman, Bokan Bao, James T Sorrentino, Chenguang Liang, Chih-Chung Kuo, Helen O Masson, Nathan E Lewis

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of biomedical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Glycoscience in Advancing PD-1/PD-L1-Axis-Targeted Tumor Immunotherapy.International journal of molecular sciences · 2025
    Review
  4. Glycosylation Targeting: A Paradigm Shift in Cancer Immunotherapy.International journal of biological sciences · 2024
    Review
  5. Glycobiology of Cancer: Sugar Drives the Show.Medicines (Basel, Switzerland) · 2022
    Article
  6. Review
  7. Review
  8. 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

9 authors at 3 institutions in 2 countries.

Austin W T Chiang *Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA. w3chiang@health.ucsd.edu.ORCID http://orcid.org/0000-0001-6514-5612
Hratch M Baghdassarian *Department of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.
Benjamin P KellmanDepartment of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.
Bokan BaoDepartment of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.
James T SorrentinoDepartment of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.
Chenguang LiangDepartment of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.
Chih-Chung KuoDepartment of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.
Helen O MassonDepartment of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.
Nathan E LewisDepartment of Pediatrics, University of California, 9500 Gilman Drive MC 0760, La Jolla, San Diego, CA, 92093, USA.
Foundation Center · USUniversity of California San Diego · USNovo Nordisk Foundation · DK

Funding

Unraveling the mammalian secretory pathway through systems biology and algorithm developmentR35GM119850 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEWIS, NATHAN ENOCH · 2016 to 2025
$4.3M
NIGMS NIH HHS R35 GM119850Novo Nordisk Fonden NNF10CC1016517Novo Nordisk Fonden NNF20SA0066621
6 · The paper itself

Abstract

Cancer immunotherapy has revolutionized treatment and led to an unprecedented wave of immuno-oncology research during the past two decades. In 2018, two pioneer immunotherapy innovators, Tasuku Honjo and James P. Allison, were awarded the Nobel Prize for their landmark cancer immunotherapy work regarding "cancer therapy by inhibition of negative immune regulation" -CTLA4 and PD-1 immune checkpoints. However, the challenge in the coming decade is to develop cancer immunotherapies that can more consistently treat various patients and cancer types. Overcoming this challenge requires a systemic understanding of the underlying interactions between immune cells, tumor cells, and immunotherapeutics. The role of aberrant glycosylation in this process, and how it influences tumor immunity and immunotherapy is beginning to emerge. Herein, we review current knowledge of miRNA-mediated regulatory mechanisms of glycosylation machinery, and how these carbohydrate moieties impact immune cell and tumor cell interactions. We discuss these insights in the context of clinical findings and provide an outlook on modulating the regulation of glycosylation to offer new therapeutic opportunities. Finally, in the coming age of systems glycobiology, we highlight how emerging technologies in systems glycobiology are enabling deeper insights into cancer immuno-oncology, helping identify novel drug targets and key biomarkers of cancer, and facilitating the rational design of glyco-immunotherapies. These hold great promise clinically in the immuno-oncology field.

Indexed as

BiomarkersDrug Delivery SystemsGlycomicsImmunotherapyMicroRNAsBiomarkersMicroRNAsAnd Glyco-immunotherapyCancer immunotherapyCAR-T cell therapyGlycosylation machineryImmune checkpointSystems glycobiology

Identifiers

PMID34158025
PMCPMC8218521
OpenAlexW3175519180

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.