Evidence map›Paper›PMID 41190221›Full record

ArticleInternational journal of genomics2025

Sphingolipid Metabolism Dysregulation Drives Immune Microenvironment Remodeling and Predicts Prognosis in Bladder Cancer.

Zechun Peng, Jie Yang, Ruipeng Jia, Tianshi Wu, Songyun Zhao

Abstract read
In one paragraph

Article in International journal of genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Zechun PengDepartment of Urology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China, hainmc.edu.cn.ORCID https://orcid.org/0009-0009-2244-0633
Jie YangDepartment of Urology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China, hainmc.edu.cn.ORCID https://orcid.org/0009-0004-4721-5866
Ruipeng JiaDepartment of Urology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China, njmu.edu.cn.ORCID https://orcid.org/0000-0002-5532-5641
Tianshi WuDepartment of Urology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China, hainmc.edu.cn.ORCID https://orcid.org/0009-0000-9027-4758
Songyun ZhaoDepartment of Urology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China, hainmc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of sphingolipid metabolism (SM) dysregulation in promoting bladder cancer (BLCA) progression and influencing patient prognosis has been well documented. To enhance therapeutic strategies, we aimed to identify key sphingolipid metabolism-related genes (SMGs) and develop a prognostic signature for personalized BLCA management. In this study, 430 BLCA samples from The Cancer Genome Atlas (TCGA) were analyzed via univariate Cox regression to screen critical SMGs involved in tumor progression. A LASSO regression model was applied to minimize overfitting, followed by multivariable Cox regression to construct and validate a SMG-based prognostic signature in an independent cohort. Key findings revealed that SM dysregulation correlated with poor clinical outcomes and eight pivotal prognostic genes (ATP13A2, PCSK2, NR2F1, GSDMB, NFASC, NTF3, LGALS4, and SREBF1) were identified. The resulting risk model demonstrated robust prognostic performance with AUC values of 0.772 (training cohort) and 0.725 (validation cohort). Notably, high-risk patients exhibited a highly active immunological profile characterized by elevated immune scores and enhanced functionality across 26 immune components, including increased infiltration of NK cells, CD8

Indexed as

bladder cancerimmune microenvironmentpersonalized therapyprognostic modelsphingolipid metabolism

Identifiers

PMID41190221
PMCPMC12580263

What Socratic holds

Textmetadata
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.