Evidence map›Paper›PMID 34291087›Full record

ArticleFrontiers in molecular biosciences2021

Expression Characteristics and Significant Prognostic Values of PGK1 in Breast Cancer.

Yanping Li, Shanshan Wang, Xiaoyuan Zhang, Rui Yang, Xiaonan Wei, Ruirong Yan, Yaru Jiang, Wenzhi Shen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 34 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.

Yanping LiDepartment of Pathology and Institute of Precision Medicine, Jining Medical University, Jining, China.
Shanshan WangDepartment of Pathology and Institute of Precision Medicine, Jining Medical University, Jining, China.
Xiaoyuan ZhangDepartment of Pathology and Institute of Precision Medicine, Jining Medical University, Jining, China.
Rui YangDepartment of Pathology and Institute of Precision Medicine, Jining Medical University, Jining, China.
Xiaonan WeiDepartment of Pathology and Institute of Precision Medicine, Jining Medical University, Jining, China.
Ruirong YanDepartment of Pathology and Institute of Precision Medicine, Jining Medical University, Jining, China.
Yaru JiangDepartment of Pathology and Institute of Precision Medicine, Jining Medical University, Jining, China.
Wenzhi ShenDepartment of Pathology and Institute of Precision Medicine, Jining Medical University, Jining, China.
Jining Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It was proven that PGK1 plays a vital role in the proliferation, migration, and invasion of human breast cancer. However, the correlation of PGK1 mRNA and protein expression with clinicopathologic characteristics and prognostic values according to various kinds of breast cancer patient classifications remains unsufficient. Here, we analyzed data from the Oncomine database, Breast cancer Gene-Expression Miner v4.5, TNMplot, MuTarget, PrognoScan database, and clinical bioinformatics to investigate PGK1 expression distribution and prognostic value in breast cancer patients. Our study revealed that the mRNA and protein expression levels of PGK1 were up-regulated in various clinicopathologic types of breast cancer. Moreover, the expression of PGK1 was correlated with mutations of common tumor suppressor genes TP53 and CDH1. In addition, we found that high mRNA level of PGK1 was significantly associated with poor OS, RFS, and DMFS. Notably, Cox regression analysis showed that PGK1 could be used as an independent prognostic marker. In summary, the aforementioned findings suggested that PGK1 might be not only explored as a potential biomarker, but also combined with TP53/CDH1 for chemotherapy in breast cancer.

Indexed as

breast cancercomprehensive analysis 3PGK1prognosticprognostic valuepublic databases

Identifiers

PMID34291087
PMCPMC8287903
OpenAlexW3186859149

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.