Evidence map›Paper›PMID 33194726›Full record

ArticleFrontiers in oncology2020

Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.

Wenguo Sun, Hailin Shi, Zhen Yuan, Li Xia, Xuebao Xiang, Xiangfeng Quan, Wenjie Shi, Leiming Jiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Characterization of lncRNA-Based ceRNA Network and Potential Prognostic Hub Genes for Sepsis.Evidence-based complementary and alternative medicine : eCAM · 2022
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  10. Identification of prognostic genes in oral squamous cell carcinoma microenvironment.Cancer biomarkers : section A of Disease markers · 2022
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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 3 institutions in 2 countries.

Wenguo SunDepartment of Urology, Affiliated Hospital of Guilin Medical University, Guilin, China.
Hailin ShiDepartment of Urology, Affiliated Hospital of Guilin Medical University, Guilin, China.
Zhen YuanDepartment of Urology, Fuyang People's Hospital, Fuyang, China.
Li XiaDepartment of Dermatology, Guilin People's Hospital, Guilin, China.
Xuebao XiangDepartment of Urology, Affiliated Hospital of Guilin Medical University, Guilin, China.
Xiangfeng QuanDepartment of Urology, Affiliated Hospital of Guilin Medical University, Guilin, China.
Wenjie ShiDepartment of Gynecology, Pius Hospital of Oldenburg, Oldenburg, Germany.
Leiming JiangDepartment of Urology, Affiliated Hospital of Guilin Medical University, Guilin, China.
Guilin Medical University · CNFuyang City People's Hospital · CNPius Hospital Oldenburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer (PCa) is one of the most common cancers and the fifth leading cause of cancer-related death in men. Immune responses in the tumor microenvironment are hypothesized to be related to the prognosis of PCa patients; however, no studies are available to confirm the same. In this study, we aimed to explore the potential link between these two factors and identify new biomarkers to estimate the survival rate of PCa patients.

methodsA total of 490 cases were obtained from The Cancer Genome Atlas (TCGA) database. The gene expression data were analyzed by the ESTIMATE algorithm to evaluate the immune and stromal scores. The survival rate was calculated according to the case-specific clinical data. Enrichment analysis was performed to discover the main biological processes and signaling pathways of immune responses. We further identified and analyzed hub genes in the protein-protein interaction (PPI) network and evaluated their prognostic values.

resultsImmune score significantly correlated with immune cell infiltration and overall survival of PCa patients. The genes CXCR4 and GPR183, identified as hub genes in the PPI network, correlated with immune cell infiltration and prognosis of PCa patients.

conclusionCXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.

Indexed as

CXCR4GPR183immune infiltrateprognostic genesprostate tumortumor microenvironment

Identifiers

PMID33194726
PMCPMC7662134
OpenAlexW3097774539

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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.