Evidence map›Paper›PMID 32567187›Full record

ArticleJournal of cellular and molecular medicine2020

Large-scale transcriptome profiles reveal robust 20-signatures metabolic prediction models and novel role of G6PC in clear cell renal cell carcinoma.

Wen-Hao Xu, Yue Xu, Xi Tian, Aihetaimujiang Anwaier, Wang-Rui Liu, Jun Wang, Wen-Kai Zhu, Da-Long Cao, Hong-Kai Wang, Guo-Hai Shi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 50 citations in OpenAlex.

  1. A FOXO1-G6PC transcriptional axis restrains renal cell carcinoma progression: multi-omics, epigenetic, and mechanistic evidence.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  19. Overexpression of Apolipoprotein C1 (APOC1) in Clear Cell Renal Cell Carcinoma and Its Prognostic Significance.Medical science monitor : international medical journal of experimental and clinical research · 2021
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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

13 authors at 3 institutions in 1 country.

Wen-Hao XuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID 0000-0002-0660-9162
Yue XuDepartment of Ophthalmology, First Affiliated Hospital of Soochow University, Suzhou, China.
Xi TianDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID 0000-0003-1965-0647
Aihetaimujiang AnwaierDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Wang-Rui LiuDepartment of Neurosurgery, Affiliated Hospital of Youjiang Medical College for Nationalities, Guangxi, China.ORCID 0000-0002-0459-4446
Jun WangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Wen-Kai ZhuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Da-Long CaoDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Hong-Kai WangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Guo-Hai ShiDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yuan-Yuan QuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Hai-Liang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Ding-Wei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Shanghai Medical College of Fudan University · CNSoochow University · CNYoujiang Medical College for Nationalities · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is the most common and highly malignant pathological type of kidney cancer. We sought to establish a metabolic signature to improve post-operative risk stratification and identify novel targets in the prediction models for ccRCC patients. A total of 58 metabolic differential expressed genes (MDEGs) were identified with significant prognostic value. LASSO regression analysis constructed 20-mRNA signatures models, metabolic prediction models (MPMs), in ccRCC patients from two cohorts. Risk score of MPMs significantly predicts prognosis for ccRCC patients in TCGA (P < 0.001, HR = 3.131, AUC = 0.768) and CPTAC cohorts (P = 0.046, HR = 2.893, AUC = 0.777). In addition, G6PC, a hub gene in PPI network of MPMs, shows significantly prognostic value in 718 ccRCC patients from multiply cohorts. Next, G6Pase was detected high expressed in normal kidney tissues than ccRCC tissues. It suggested that low G6Pase expression significantly correlated with poor prognosis (P < 0.0001, HR = 0.316) and aggressive progression (P < 0.0001, HR = 0.414) in 322 ccRCC patients from FUSCC cohort. Meanwhile, promoter methylation level of G6PC was significantly higher in ccRCC samples with aggressive progression status. G6PC significantly participates in abnormal immune infiltration of ccRCC microenvironment, showing significantly negative association with check-point immune signatures, dendritic cells, Th1 cells, etc. In conclusion, this study first provided the opportunity to comprehensively elucidate the prognostic MDEGs landscape, established novel prognostic model MPMs using large-scale ccRCC transcriptome data and identified G6PC as potential prognostic target in 1,040 ccRCC patients from multiply cohorts. These finding could assist in managing risk assessment and shed valuable insights into treatment strategies of ccRCC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellCohort StudiesDisease ProgressionFemaleGene Expression Regulation, NeoplasticGlucose-6-PhosphataseHumansKidneyKidney NeoplasmsMalePrognosisTranscriptomeTumor MicroenvironmentBiomarkers, TumorGlucose-6-Phosphataseclear cell renal cell carcinomaG6PCimmune infiltrationmetabolic prediction modelsprognosistumour microenvironment

Identifiers

PMID32567187
PMCPMC7417710
OpenAlexW3035952301

What OpenQuestion holds

Textmetadata
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.