Evidence map›Paper›PMID 36901944›Full record

ArticleInternational journal of molecular sciences2023

Establishing a Proteomics-Based Signature of AKR1C3-Related Genes for Predicting the Prognosis of Prostate Cancer.

Xiaoli Cui, Changcheng Li, Jipeng Ding, Zhou Yao, Tianyu Zhao, Jiahui Guo, Yaru Wang, Jing Li

Open access · goldFull text read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 16 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

8 authors at 1 institution in 1 country.

Xiaoli CuiDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.
Changcheng LiDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.
Jipeng DingDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.
Zhou YaoDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.
Tianyu ZhaoDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.
Jiahui GuoDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.
Yaru WangDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.
Jing LiDepartment of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.ORCID 0000-0001-7573-8876
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aldo-keto reductase family 1 member C3 (AKR1C3) plays an important role in prostate cancer (PCa) progression, particularly in castration-resistant prostate cancer (CRPC). It is necessary to establish a genetic signature associated with AKR1C3 that can be used to predict the prognosis of PCa patients and provide important information for clinical treatment decisions. AKR1C3-related genes were identified via label-free quantitative proteomics of the AKR1C3-overexpressing LNCaP cell line. A risk model was constructed through the analysis of clinical data, PPI, and Cox-selected risk genes. Cox regression analysis, Kaplan-Meier (K-M) curves, and receiver operating characteristic (ROC) curves were used to verify the accuracy of the model, and two external datasets were used to verify the reliability of the results. Subsequently, the tumor microenvironment and drug sensitivity were explored. Moreover, the roles of AKR1C3 in the progression of PCa were verified in LNCaP cells. MTT, colony formation, and EdU assays were conducted to explore cell proliferation and drug sensitivity to enzalutamide. Migration and invasion abilities were measured using wound-healing and transwell assays, and qPCR was used to assess the expression levels of AR target genes and EMT genes. CDC20, SRSF3, UQCRH, INCENP, TIMM10, TIMM13, POLR2L, and NDUFAB1 were identified as AKR1C3-associated risk genes. These risk genes, established using the prognostic model, can effectively predict the recurrence status, immune microenvironment, and drug sensitivity of PCa. Tumor-infiltrating lymphocytes and several immune checkpoints that promote cancer progression were higher in high-risk groups. Furthermore, there was a close correlation between the sensitivity of PCa patients to bicalutamide and docetaxel and the expression levels of the eight risk genes. Moreover, through in vitro experiments, Western blotting confirmed that AKR1C3 enhanced SRSF3, CDC20, and INCENP expression. We found that PCa cells with a high expression of AKR1C3 have high proliferation ability and high migration ability and were insensitive to enzalutamide. AKR1C3-associated genes had a significant role in the process of PCa, immune responses, and drug sensitivity and offer the potential for a novel model for prognostic prediction in PCa.

Indexed as

Prostatic NeoplasmsProteomicsAldo-Keto Reductase Family 1 Member C3BenzamidesCell Line, TumorHumansMaleNitrilesPhenylthiohydantoinReproducibility of ResultsSerine-Arginine Splicing FactorsTumor MicroenvironmentAKR1C3 protein, humanAldo-Keto Reductase Family 1 Member C3BenzamidesenzalutamideNitrilesPhenylthiohydantoinSerine-Arginine Splicing FactorsSRSF3 protein, humanAKR1C3bioinformaticslabel-free quantitative proteomicsprostate cancer

Identifiers

PMID36901944
PMCPMC10003753
OpenAlexW4322501433

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Textfull text, public
LicenceCC BY
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measurements read21
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Read underepoch 390

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.