Evidence map›Paper›PMID 31637138›Full record

ArticlePeerJ2019

Identification of key genes and multiple molecular pathways of metastatic process in prostate cancer.

Lihuang Guo, Mingyue Lin, Zhenbo Cheng, Yi Chen, Yue Huang, Keqian Xu

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-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

8 citing papers in PubMed, 19 citations in OpenAlex.

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  6. Genomic pan-cancer classification using image-based deep learning.Computational and structural biotechnology journal · 2021
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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

6 authors at 2 institutions in 1 country.

Lihuang GuoDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Mingyue LinDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Zhenbo ChengDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Yi ChenDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Yue HuangDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Keqian XuDepartment of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Central South University · CNThird Xiangya Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer metastasis is well known as the most adverse outcome and the major cause of mortality in cancer patients, including prostate cancer (PCa). There are no credible predictors, to this day, that can reflect the metastatic ability of localized PCa. In the present study, we firstly identified the differentially expressed genes (DEGs) and molecular pathways involved in the metastaic process of PCa by comparing gene expressions of metastaic PCa with localized PCa directly, with the purpose of identifying potential markers or therapeutic targets.

methodsThe gene expression profiles (GSE6919 and GSE32269) were downloaded from the Gene Expression Omnibus database, which contained 141 tissue samples, including 87 primary localized PCa samples and 54 metastaic PCa samples. After data processing, DEGs were identified by R language using the Student's

resultsA total of 90 DEGs were identified between localized and metastaic PCa, which consisted of 47 upregulated and 43 downregulated genes. The enriched functions and pathways of the DEGs include catabolic process, cell cycle, response to steroid hormone, extracellular matrix (ECM)-receptor interaction and vascular smooth muscle contraction. A total of 10 genes were identified as hub genes and biological process analysis of hub genes showed that cell cycle phase, cell division, and mitotic cell cycle process were mainly enriched. The expression of hub genes were confirmed in metastaic PCa when compared with localized PCa tissues by The Cancer Genome Atlas database. Moreover, the disease-free survival analysis of hub genes revealed that these genes may play an important role in invasion, progression or recurrence. Therefore, these hub genes might be the key genes contributed to tumor progression or metastasis in PCa and provide candidate therapeutic targets for PCa.

conclusionsThe present study identified some DEGs between localized and metastaic PCa tissue samples. These key genes might be potential therapeutic targets and biomarkers for the metastaic process of PCa.

Indexed as

Differentially expressed genesLocalized prostate canerMetastaic prostate cancerMetastasis

Identifiers

PMID31637138
PMCPMC6800981
OpenAlexW2980383173

What OpenQuestion holds

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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.