Evidence map›Paper›PMID 36479976›Full record

ArticleAdvanced healthcare materials2023

Convergent Approaches to Delineate the Metabolic Regulation of Tumor Invasion by Hyaluronic Acid Biosynthesis.

Adrian A Shimpi, Matthew L Tan, Michael Vilkhovoy, David Dai, LaDeidra Monet Roberts, Joe Chin-Hun Kuo, Lingting Huang, Jeffrey D Varner, Matthew Paszek, Claudia Fischbach

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

10 authors.

Adrian A ShimpiNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.
Matthew L TanNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-0176-8615
Michael VilkhovoyRobert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA.
David DaiRobert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA.
LaDeidra Monet RobertsNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.
Joe Chin-Hun KuoRobert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA.
Lingting HuangRobert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA.
Jeffrey D VarnerRobert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA.
Matthew PaszekRobert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA.
Claudia FischbachNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-9368-0150

Funding

Project 3: Physical and Metabolic Constraints of Cancer Cell InvasionU54CA210184 · NCI · CORNELL UNIVERSITY · PI CANTLEY, LEWIS C., FISCHBACH, CLAUDIA · 2016 to 2020
$10.2M
Metabolic regulation of exosome biogenesis as a determinant of cancer cell metastasis.R01CA259195 · NCI · CORNELL UNIVERSITY · PI MARC A ANTONYAK, Claudia Fischbach · 2022 to 2026
$2.1M
Zeiss LSM710 Confocal Microscope for Shared Imaging FacilityS10RR025502 · NCRR · CORNELL UNIVERSITY · PI WILLIAMS, REBECCA M · 2009 to 2009
$500k
Acquisition of an automated phase and fluorescence microscope for Cornell BRC Imaging FacilityS10OD032251 · OD · CORNELL UNIVERSITY · PI WILLIAMS, REBECCA M · 2022 to 2022
$229k
NCI NIH HHS R01 CA259195NCI NIH HHS U54 CA210184NCRR NIH HHS S10 RR025502NIH HHS S10 OD032251
6 · The paper itself

Abstract

Metastasis is the leading cause of breast cancer-related deaths and is often driven by invasion and cancer-stem like cells (CSCs). Both the CSC phenotype and invasion are associated with increased hyaluronic acid (HA) production. How these independent observations are connected, and which role metabolism plays in this process, remains unclear due to the lack of convergent approaches integrating engineered model systems, computational tools, and cancer biology. Using microfluidic invasion models, metabolomics, computational flux balance analysis, and bioinformatic analysis of patient data, the functional links between the stem-like, invasive, and metabolic phenotype of breast cancer cells as a function of HA biosynthesis are investigated. These results suggest that CSCs are more invasive than non-CSCs and that broad metabolic changes caused by overproduction of HA play a role in this process. Accordingly, overexpression of hyaluronic acid synthases (HAS) 2 or 3 induces a metabolic phenotype that promotes cancer cell stemness and invasion in vitro and upregulates a transcriptomic signature predictive of increased invasion and worse patient survival. This study suggests that HA overproduction leads to metabolic adaptations to satisfy the energy demands for 3D invasion of breast CSCs highlighting the importance of engineered model systems and multidisciplinary approaches in cancer research.

Indexed as

Hyaluronic AcidNeoplasmsCell Line, TumorHumansNeoplastic Stem CellsHyaluronic Acidcancer stem-like cellsflux balance analysishyaluronic acidmetabolismtumor invasion

Identifiers

PMID36479976
PMCPMC10238572

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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.