Evidence map›Paper›PMID 34268107›Full record

ArticleFrontiers in oncology2021

Development and Validation of Novel Biomarkers Related to M2 Macrophages Infiltration by Weighted Gene Co-Expression Network Analysis in Prostate Cancer.

Ning Xu, Ru-Nan Dong, Ting-Ting Lin, Tian Lin, Yun-Zhi Lin, Shao-Hao Chen, Jun-Ming Zhu, Zhi-Bin Ke, Fei Huang, Ye-Hui Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-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

16 citing papers in PubMed, 24 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

11 authors at 2 institutions in 1 country.

Ning XuDepartment of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Ru-Nan DongDepartment of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Ting-Ting LinDepartment of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Tian LinDepartment of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Yun-Zhi LinDepartment of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Shao-Hao ChenDepartment of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Jun-Ming ZhuDepartment of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Zhi-Bin KeDepartment of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Fei HuangFujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Ye-Hui ChenDepartment of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Xue-Yi XueDepartment of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Fujian Medical University · CNFirst Affiliated Hospital of Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

M2-tumor-associated macrophages (TAMs) work as a promoter in the processes of bone metastases, chemotherapy resistance, and castration resistance in prostate cancer (PCa), but how M2-TAMs affect PCa has not been fully understood. In this study, we analyzed the proportion of tumor-infiltrating immune cells using the CIBERSORT algorithm, based on samples from the Cancer Genome Atlas database. Then we performed weighted gene co-expression network analysis to examine the modules concerning infiltrated M2-TAMs. Gene Ontology analysis and pathway enrichment analysis were performed for functional annotation and a protein-protein interaction network was constructed. The International Cancer Genomics Consortium cohort was used as a validation cohort. The red module showed the most correlation with M2-TAMs in PCa. Biological processes and pathways were mainly associated with the immune-related processes, as revealed by functional annotation. Four hub genes were screened: ACSL1, DLGAP5, KIF23 and NCAPG. Further validation showed that the four hub genes had a higher expression level in tumor tissues than that in normal tissues, and they were good prognosis biomarkers for PCa. In conclusion, these findings contribute to understanding the underlying molecular mechanisms of how M2-TAMs affect PCa, and looking for the potential biomarkers and therapeutic targets for PCa patients.

Indexed as

biomarkersCIBERSORT algorithmM2-TAMsprostate cancerweighted gene co-expression network analysis

Identifiers

PMID34268107
PMCPMC8276177
OpenAlexW3174724729

What OpenQuestion holds

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LicenceCC BY
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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.