Evidence map›Paper›PMID 39104719›Full record

ArticleFrontiers in oncology2024

Adipose microenvironment promotes hypersialylation of ovarian cancer cells.

Alexandra Fox, Garry D Leonard, Nicholas Adzibolosu, Terrence Wong, Roslyn Tedja, Sapna Sharma, Radhika Gogoi, Robert Morris, Gil Mor, Charlie Fehl and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. High-MannoseJournal of proteome research · 2026
    Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Alexandra Fox *Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States.
Garry D Leonard *Department of Chemistry, Wayne State University, Detroit, MI, United States.
Nicholas AdzibolosuDepartment of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States.
Terrence WongDepartment of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States.
Roslyn TedjaDepartment of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States.
Sapna SharmaDepartment of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States.
Radhika GogoiDepartment of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States.
Robert MorrisKarmanos Cancer Institute, Detroit, MI, United States.
Gil MorDepartment of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States.
Charlie FehlDepartment of Chemistry, Wayne State University, Detroit, MI, United States.
Ayesha B AlveroDepartment of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States.

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI PAUL M STEMMER · 1985 to 2026
$68.4M
Spatiotemporal tools to interrogate O-GlcNAc functions in metabolic signaling and diseaseR35GM142637 · NIGMS · WAYNE STATE UNIVERSITY · PI Charlie Fehl · 2021 to 2026
$2.6M
Training Modules at Wayne State University to Promote Safe and Inclusive EnvironmentsT32GM139807 · NIGMS · WAYNE STATE UNIVERSITY · PI BRYANT-FRIEDRICH, AMANDA C, CHOW, CHRISTINE S · 2021 to 2025
$2.6M
NCI NIH HHS P30 CA022453NIGMS NIH HHS R35 GM142637NIGMS NIH HHS T32 GM139807
6 · The paper itself

Abstract

Introduction: Ovarian and other peritoneal cancers have a strong tendency to metastasize into the surrounding adipose tissue. This study describes an effect of the adipose microenvironment on upregulation of sialic acid-containing glycans in ovarian cancer (OC). Heterogeneous populations of glycosylated OC tumors converged to a highly sialylated cell state that regulates tumorigenesis in an immune-dependent manner. Methods: We modeled the adipose microenvironment by conditioning growth media with human patient-derived adipose tissue. OC cell lines grown in the presence vs. absence of adipose conditioned media (ACM) were characterized by transcriptomics, western blotting, and chemical biology glycan labeling methods. Fluorescence-activated cell sorting was used to separate adipose-driven upregulation of hypersialylated ("SNA-high") vs. hyposialylated ("SNA-low") OC subpopulations. The two subpopulations were characterized by further transcriptomic and quantitative polymerase chain reaction analyses, then injected into a syngeneic mouse model. Immune system involvement was implicated using wild type and athymic nude mice with a primary endpoint of overall survival. Results: Adipose conditioning resulted in upregulation of sialyltransferases ST3GAL1, ST6GAL1, ST6GALNAC3, and ST8Sia1. In culture, OC cells displayed two distinct sialylated subpopulations that were stable for up to 9 passages, suggesting inherent heterogeneity in sialylation that is maintained throughout cell division and media changes. OC tumors that implanted in the omental adipose tissue exclusively reprogrammed to the highly sialylated subpopulation. In wild type C57BL/6 mice, only the hypersialylated SNA-high subpopulation implanted in the adipose, whereas the hyposialylated SNA-low subpopulation failed to be tumorigenic (p=0.023, n=5). In the single case where SNA-low established a tumor, post-mortem analysis revealed reprogramming of the tumor to the SNA-high state in vivo. In athymic nude mice, both subpopulations rapidly formed tumors, implicating a role of the adaptive immune system. Conclusions: These findings suggest a model of glycan-dependent tumor evolution wherein the adipose microenvironment reprograms OC to a tumorigenic state that resists the adaptive immune system. Mechanistically, adipose factors upregulate sialyltransferases. To our knowledge, this is the first demonstration of the effect of adipose microenvironment on OC tumor sialylation. Our results set the stage for translational applications targeting sialic acid pathways in OC and other peritoneal cancer tumorigenesis and metastasis.

Indexed as

adipose microenvironmentmetastasisovarian cancersialic acidsialylationST3GAL1ST6GAL1tumorigenesis

Identifiers

PMID39104719
PMCPMC11299042

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.