Evidence map›Paper›PMID 31645543›Full record

ArticleCell death & disease2019

Enhanced hexosamine metabolism drives metabolic and signaling networks involving hyaluronan production and O-GlcNAcylation to exacerbate breast cancer.

Chatchadawalai Chokchaitaweesuk, Takashi Kobayashi, Tomomi Izumikawa, Naoki Itano

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

32 citing papers in PubMed, 52 citations in OpenAlex.

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  18. SP and KLF Transcription Factors in Cancer Metabolism.International journal of molecular sciences · 2022
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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

4 authors at 1 institution in 1 country.

Chatchadawalai ChokchaitaweesukDivision of Life Sciences, Kyoto Sangyo University Graduate School, Kyoto, 603-8555, Japan.
Takashi KobayashiDepartment of Molecular Biosciences, Faculty of Life Sciences, Kyoto Sangyo University, Kyoto, 603-8555, Japan.
Tomomi IzumikawaDepartment of Molecular Biosciences, Faculty of Life Sciences, Kyoto Sangyo University, Kyoto, 603-8555, Japan.
Naoki ItanoDivision of Life Sciences, Kyoto Sangyo University Graduate School, Kyoto, 603-8555, Japan. itanon@cc.kyoto-su.ac.jp.
Kyoto Sangyo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hexosamine biosynthetic pathway (HBP) metabolically regulates dynamic cellular events by linking nutrient availability to numerous signaling networks. Significant alterations in the HBP are often associated with cancer pathogenesis. In this study, we investigated the molecular events underlying cancer pathogenesis associated with enhanced HBP flux. Multidimensional analysis of microarray datasets demonstrated up-regulation of genes encoding HBP enzymes in clinical breast cancers and revealed that co-expression of hyaluronan synthase 2 (HAS2) and glutamine:fructose-6-phosphate amidotransferase (GFAT), a rate-limiting enzyme of the HBP, was strongly correlated with a poor prognosis in advanced cancer patients. Consistently with the clinical data, comparative analyses of distinct breast cancer mouse models demonstrated enhancement of the HBP gene expression in primary carcinoma cells, with elevation of Has2 expression and hyaluronan production in aggressive breast cancer cells. The silencing of GFAT reduced CD44

Indexed as

AnimalsBreast NeoplasmsFemaleHexosaminesHumansHyaluronic AcidMiceMice, TransgenicSignal TransductionHexosaminesHyaluronic Acid

Identifiers

PMID31645543
PMCPMC6811536
OpenAlexW2981780907

What OpenQuestion holds

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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.