Evidence map›Paper›PMID 33780364›Full record

ArticleCancer biomarkers : section A of Disease markers2021

Molecular mechanisms, immune cell infiltration, and potential drugs for prostate cancer.

Yunkun Yan, Xingning Mao, Qingyun Zhang, Yu Ye, Yan Dai, Mengying Bao, Yanyu Zeng, Rong Huang, Zengnan Mo

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

19 citing papers in PubMed, 22 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 2 institutions in 1 country.

Yunkun YanInstitute of Urology and Nephrology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.
Xingning MaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Qingyun ZhangInstitute of Urology and Nephrology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.
Yu YeInstitute of Urology and Nephrology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.
Yan DaiCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Mengying BaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Yanyu ZengCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Rong HuangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Zengnan MoInstitute of Urology and Nephrology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe molecular mechanisms involved in the prostate cancer and their relationship with immune cell infiltration are not fully understood. The prostate cancer patients undergoing standard androgen deprivation therapy eventually develop castration resistant prostate cancer (CRPC) for which there is no effective treatment currently available, and the hub genes involved in this process remain unclear.

objectiveTo study prostate cancer systematically and comprehensively.

methodsDifferentially expressed genes (DEGs) of prostate cancer were screened in The Cancer Genome Atlas (TCGA) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. Connectivity Map (Cmap) software was applied to discover potential treatment drugs. A protein-protein interaction (PPI) analysis was performed to obtained the hub genes, and the relationship between hub genes and immune cell infiltration was investigated. Next, RNAseq data of hormone-sensitive prostate cancer samples and CRPC samples obtained from TCGA database was further analyzed to identify DEGs. Finally, a PPI analysis was performed to obtain the hub genes.

resultsA total of 319 DEGs were identified between prostate cancer samples and normal adjacent samples from TCGA database using comparative analysis. The KEGG pathway analysis showed significant correlations with drug metabolism, metabolism of xenobiotics by cytochrome P450, and chemical carcinogenesis. AMACR, FOLH1 and NPY, three hub genes, were found to be upregulated. FOLH1 was positively correlated with CD8+ T cell infiltration. FOLH1, AMACR, and NPY were negatively correlated with CD4+ T cell infiltration. A total of 426 DEGs were identified from RNAseq data of hormone-sensitive prostate cancer samples and CRPC samples using further comparative analysis. KEGG pathway enrichment analysis showed significant correlations with arachidonic acid metabolism, PPAR signaling pathway, AMPK signaling pathway, and metabolic pathways. The top 10 hub genes in PPI network were screened out, including PPARG, SREBF1, SCD, HMGCR, FASN, PTGS2, HMGCS2, SREBF2, FDFT1, and INSIG1. Among them, SCD and FASN are expected to be the potential therapeutic targets for CRPC.

conclusionsAMACR, FOLH1 and NPY may be effective therapeutic targets and specific diagnostic markers for prostate cancer. AMACR, FOLH1, and NPY are also closely associated with immune cell infiltration in prostate cancer. Moreover, aminoglutethimide and resveratrol were found to be the promising drugs for treating prostate cancer. The progression of hormone-sensitive prostate cancer to CRPC may be related to arachidonic acid metabolism, PPAR signaling pathway, AMPK signaling pathway, and other metabolic pathways. SCD and FASN are expected to be the potential therapeutic targets for CRPC.

Indexed as

Computational BiologyHumansMaleProstatic Neoplasmscastration resistant prostate cancerCmapimmune cell infiltrationTCGA

Identifiers

PMID33780364
PMCPMC12500000
OpenAlexW3141686925

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.