Evidence map›Paper›PMID 37627013›Full record

ArticleBiology2023

Pan-Cancer Identification of Prognostic-Associated Metabolic Pathways.

Wenbo Chen, Xin Chen, Zhenyu Zhao, Menglu Li, Shuang Dong, Sheng Hu, Xiaoyu Li, Mingqian Feng, Ke Chen, Shan Zhong and 1 more

Abstract read
In one paragraph

Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Wenbo ChenSchool of Basic Medical Sciences, Wuhan University, Wuhan 430071, China.ORCID 0000-0001-7220-7156
Xin ChenCollege of Biomedicine and Health, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0001-6930-0923
Zhenyu ZhaoDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430070, China.
Menglu LiCollege of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Shuang DongDepartment of Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430079, China.
Sheng HuDepartment of Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430079, China.
Xiaoyu LiDepartment of Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430079, China.
Mingqian FengCollege of Biomedicine and Health, Huazhong Agricultural University, Wuhan 430070, China.
Ke ChenDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430070, China.ORCID 0000-0002-6914-6257
Shan ZhongSchool of Basic Medical Sciences, Wuhan University, Wuhan 430071, China.
Chunjiang HeSchool of Basic Medical Sciences, Wuhan University, Wuhan 430071, China.ORCID 0000-0002-4868-331X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysregulation has been reported involving in the clinical outcomes of multiple cancers. However, systematical identification of the impact of metabolic pathways on cancer prognosis is still lacking. Here, we performed a pan-cancer analysis of popular metabolic checkpoint genes and pathways with cancer prognosis by integrating information of clinical survival with gene expression and pathway activity in multiple cancer patients. By discarding the effects of age and sex, we revealed extensive and significant associations between the survival of cancer patients and the expression of metabolic checkpoint genes, as well as the activities of three primary metabolic pathways: amino acid metabolism, carbohydrate metabolism, lipid metabolism, and eight nonprimary metabolic pathways. Among multiple cancers, we found the survival of kidney renal clear cell carcinoma and low-grade glioma exhibit high metabolic dependence. Our work systematically assesses the impact of metabolic checkpoint genes and pathways on cancer prognosis, providing clues for further study of cancer diagnosis and therapy.

Indexed as

cancer transcriptomemetabolic pathwaysprognosis

Identifiers

PMID37627013
PMCPMC10452188

What Socratic holds

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LicenceCC BY
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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 Socratic graph.