Evidence map›Paper›PMID 39133261›Full record

ArticleDiscover oncology2024

Comprehensive analysis of paraspeckle-associated gene modules unveils prognostic signatures and immunological relevance in multi-cancers.

Zhuoyang Fan, Bowen Yin, Xiaochen Chen, Guowei Yang, Wei Zhang, Xiaodan Ye, Hong Han, Ming Li, Minfeng Shu, Rong Liu

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Zhuoyang FanDepartment of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Bowen YinDepartment of Pharmacology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Xiaochen ChenClinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guowei YangDepartment of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Wei ZhangDepartment of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Xiaodan YeShanghai Institute of Medical Imaging, Fudan University, Shanghai, 200032, China.
Hong HanDepartment of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. han.hong@zs-hospital.sh.cn.
Ming LiDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. li_m14@fudan.edu.cn.
Minfeng ShuDepartment of Pharmacology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China. minfeng_shu@fudan.edu.cn.
Rong LiuDepartment of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. liu.rong@zs-hospital.sh.cn.

Funding

Fellowship of China National Postdoctoral Program for Innovative Talents BX20230083National Natural Science Foundation of China 82073880Natural Science Foundation of Fujian Province 2023J011689Shanghai Municipal Health Commission 201940233
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, characterized by high rates of angiogenesis and immune evasion. Paraspeckle genes, involved in gene regulation and RNA metabolism, have recently been linked to tumor progression. This study aims to elucidate the relationship between paraspeckle genes and HCC prognosis, focusing on SFPQ, DDX39B, and UBAP2.

methodsWe analyzed HCC (LIHC) and prostate cancer (PRAD) samples from the TCGA database to explore the correlation between paraspeckle genes and angiogenesis. We conducted unsupervised clustering, risk scoring, and survival analysis to identify distinct patient groups and their clinical outcomes. Gene expression data were used to perform differential analysis and Gene Ontology (GO) enrichment.

resultsOur analysis identified significant correlations between paraspeckle genes and angiogenesis across multiple cancer types. Elevated expression levels of SFPQ, DDX39B, and UBAP2 were associated with poor prognosis in HCC patients, and all of them has statistical significance. Unsupervised clustering of HCC samples based on paraspeckle gene expression revealed two distinct clusters, with high-risk patients exhibiting stronger immune suppression and tumor immune evasion. GO enrichment highlighted critical pathways related to angiogenesis and immune regulation. Additionally, a risk scoring model based on these genes effectively distinguished high-risk and low-risk patient groups, providing valuable prognostic insights.

conclusionThis study demonstrates that SFPQ, DDX39B, and UBAP2 are significantly associated with poor prognosis in HCC, likely due to their roles in promoting angiogenesis and immune suppression. These findings highlight the potential of paraspeckle genes as prognostic biomarkers and therapeutic targets, offering new avenues for personalized treatment strategies in HCC. Further research into their functional mechanisms and clinical applicability is crucial for advancing HCC treatment and improving patient outcomes.

Indexed as

AngiogenesisDDX39BImmune evasionParaspeckleSFPQUBAP2

Identifiers

PMID39133261
PMCPMC11319543

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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.