Evidence map›Paper›PMID 36569910›Full record

ArticleFrontiers in immunology2022

Interaction between glycolysis‒cholesterol synthesis axis and tumor microenvironment reveal that gamma-glutamyl hydrolase suppresses glycolysis in colon cancer.

Yan-Jie Chen, Xi Guo, Meng-Ling Liu, Yi-Yi Yu, Yue-Hong Cui, Xi-Zhong Shen, Tian-Shu Liu, Li Liang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Yan-Jie ChenDepartment of Gastroenterology, Zhongshan Hospital Fudan University, Shanghai, China.
Xi GuoDepartment of Medical Oncology, Zhongshan Hospital Fudan University, Shanghai, China.
Meng-Ling LiuDepartment of Medical Oncology, Zhongshan Hospital Fudan University, Shanghai, China.
Yi-Yi YuDepartment of Medical Oncology, Zhongshan Hospital Fudan University, Shanghai, China.
Yue-Hong CuiDepartment of Medical Oncology, Zhongshan Hospital Fudan University, Shanghai, China.
Xi-Zhong ShenDepartment of Gastroenterology, Zhongshan Hospital Fudan University, Shanghai, China.
Tian-Shu LiuDepartment of Medical Oncology, Zhongshan Hospital Fudan University, Shanghai, China.
Li LiangDepartment of Medical Oncology, Zhongshan Hospital Fudan University, Shanghai, China.
Fudan University · CNSun Yat-sen University · CNZhongshan Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic reprogramming is a feature of cancer. However, colon cancer subtypes based on the glycolysis‒cholesterol synthesis axis have not been identified, and little is known about connections between metabolic features and the tumor microenvironment. Methods: Data for 430 colon cancer cases were extracted from The Cancer Genome Atlas, including transcriptome data, clinical information, and survival outcomes. Glycolysis and cholesterol synthesis-related gene sets were obtained from the Molecular Signatures Database for a gene set variation analysis. The relationship between the genomic landscape and immune landscape were investigated among four metabolic subtypes. Hub genes were determined. The clinical significance of candidate hub gene was evaluated in 264 clinical samples and potential functions were validated Results: Colon cancer cases were clustered into four metabolic subtypes: quiescent, glycolytic, cholesterogenic, and mixed. The metabolic subtypes differed with respect to the immune score, stromal score, and estimate score using the ESTIMATE algorithm, cancer-immunity cycle, immunomodulator signatures, and signatures of immunotherapy responses. Patients in the cholesterogenic group had better survival outcomes than those for other subtypes, especially glycolytic. The glycolytic subtype was related to unfavorable clinical characteristics, including high mutation rates in TTN, APC, and TP53, high mutation burden, vascular invasion, right colon cancer, and low-frequency microsatellite instability. Conclusions: Our results provide insight into the connection between metabolism and the tumor microenvironment in colon cancer and provides preliminary evidence for the role of GGH, providing a basis for subsequent studies.

Indexed as

Colonic Neoplasmsgamma-Glutamyl HydrolaseAnimalsCholesterolCreatine Kinase, Mitochondrial FormGlycolysisHumansMiceTumor MicroenvironmentCholesterolCKMT2 protein, humanCreatine Kinase, Mitochondrial Formgamma-Glutamyl Hydrolasecolon cancer (CC)gamma-glutamyl hydrolase (GGH)glycolysis‒cholesterol synthesis axismetabolic subtypesprognosistumor microenvironment

Identifiers

PMID36569910
PMCPMC9767965
OpenAlexW4311161651

What OpenQuestion holds

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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 OpenQuestion graph.