Evidence map›Paper›PMID 36544704›Full record

ArticleFrontiers in oncology2022

Multi-omics profiles refine L-dopa decarboxylase (DDC) as a reliable biomarker for prognosis and immune microenvironment of clear cell renal cell carcinoma.

Kun Chang, Jiaqi Su, Chuanyu Li, Aihetaimujiang Anwaier, Wangrui Liu, Wenhao Xu, Yuanyuan Qu, Hailiang Zhang, Dingwei Ye

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 7 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

9 authors at 4 institutions in 1 country.

Kun ChangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jiaqi SuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Chuanyu LiDepartment of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Aihetaimujiang AnwaierDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Wangrui LiuDepartment of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Wenhao XuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yuanyuan QuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Hailiang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Dingwei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CNShanghai Cancer Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Increasing evidence indicates that L-dopa decarboxylase (DDC), which mediates aberrant amino acid metabolism, is significantly associated with tumor progression. However, the impacts of DDC are not elucidated clearly in clear cell renal cell carcinoma (ccRCC). This study aimed to evaluate DDC prognostic value and potential mechanisms for ccRCC patients. Methods: Transcriptomic and proteomic expressions of and clinical data including 532 patients with ccRCC (The Cancer Genome Atlas RNA-seq data), 226 ccRCC samples (Gene Expression Omnibus), 101 ccRCC patients from the E-MTAB-1980 cohort, and 232 patients with ccRCC with proteogenomic data (Fudan University Shanghai Cancer Center) were downloaded and analyzed to investigate the prognostic implications of DDC expression. Cox regression analyses were implemented to explore the effect of DDC expression on the prognosis of pan-cancer. The "limma" package identified the differentially expressed genes (DEGs) between high DDC subgroups and low DDC groups. Functional enrichments were performed based DEGs between DDC subgroups. The differences of immune cell infiltrations and immune checkpoint genes between DDC subgroups were analyzed to identify potential influence on immune microenvironment. Results: We found significantly decreased DDC expression in ccRCC tissues compared with normal tissues from multiple independent cohorts based on multi-omics data. We also found that DDC expression was correlated with tumor grades and stages.The following findings revealed that lower DDC expression levels significantly correlated with shorter overall survival (P <0.001) of patients with ccRCC. Moreover, we found that DDC expression significantly correlated with an immunosuppressive tumor microenvironment, higher intra-tumoral heterogeneity, elevated expression of immune checkpoint CD274, and possibly mediated malignant behaviors of ccRCC cells via the PI3k/Akt signaling pathway. Conclusion: The present study is the first to our knowledge to indicate that decreased DDC expression is significantly associated with poor survival and an immune-suppressive tumor microenvironment in ccRCC. These findings suggest that DDC could serve as a biomarker for guiding molecular diagnosis and facilitating the development of novel individual therapeutic strategies for patients with advanced ccRCC.

Indexed as

amino acids metabolismbiomarkerclear cell renal cell carcinoma (ccRCC)l-DOPA decarboxylaseprognosistumor microenvironment

Identifiers

PMID36544704
PMCPMC9760914
OpenAlexW4310675976

What Socratic 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 Socratic graph.