Evidence map›Paper›PMID 38441550›Full record

ArticleAging2024

Single-cell RNA combined with bulk RNA analysis to explore oxidative stress and energy metabolism factors and found a new prostate cancer oncogene

Miao Miao, Yan Song, Mingyue Jin, Yang Du, Peng Xin, Yuanjun Jiang, Hao Zhang

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

6 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

7 authors at 3 institutions in 1 country.

Miao MiaoDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, China.
Yan SongOperating Room, The First Hospital of China Medical University, Shenyang 110001, China.
Mingyue JinDepartment of Endocrinology, Shenzhen University General Hospital, Shenzhen, Guangdong, China.
Yang DuDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, China.
Peng XinDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, China.
Yuanjun JiangDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, China.
Hao ZhangDepartment of Urology, The First Hospital of China Medical University, Shenyang 110001, China.
First Hospital of China Medical University · CNChina Medical University · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer is the most common malignancy among men worldwide, and its diagnosis and treatment are challenging due to its heterogeneity.

methodsIntegrating single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data, we identified two molecular subtypes of prostate cancer based on dysregulated genes involved in oxidative stress and energy metabolism. We constructed a risk score model (OMR) using common differentially expressed genes, which effectively evaluated prostate cancer prognosis.

resultsOur analysis demonstrated a significant correlation between the risk score model and various factors, including tumor immune microenvironment, genomic variations, chemotherapy resistance, and immune response. Notably, patients with low-risk scores exhibited increased sensitivity to chemotherapy and immunotherapy compared to those with high-risk scores, indicating the model's potential to predict patient response to treatment. Additionally, our investigation of

conclusionsOur study highlights the potential of oxidative stress and energy metabolism-related genes as prognostic markers and therapeutic targets in prostate cancer. The integration of scRNA-seq and bulk RNA-seq data enables a better understanding of prostate cancer heterogeneity and promotes personalized treatment development. Additionally, we identified a novel oncogene

Indexed as

OncogenesProstatic NeoplasmsEnergy MetabolismHumansImmunoglobulinsMaleMembrane ProteinsOxidative StressPrognosisReactive Oxygen SpeciesTumor MicroenvironmentImmunoglobulinsMembrane ProteinsMXRA8 protein, humanReactive Oxygen Speciesenergy metabolismMXRA8oxidative stressprognosticprostate cancer

Identifiers

PMID38441550
PMCPMC10968713
OpenAlexW4392380177

What OpenQuestion 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 OpenQuestion graph.