Evidence map›Paper›PMID 34475953›Full record

ArticleJournal of oncology2021

The Alterations and Potential Roles of MCMs in Breast Cancer.

Xinyu Liu, Ying Liu, Qiangshan Wang, Siqi Song, Lingjun Feng, Chunying Shi

Abstract read
In one paragraph

Article in Journal of oncology, 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
–field-weighted citation impact
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.

  1. Article
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  6. Prognostic and Clinical Significance of the Proliferation Marker MCM7 in Breast Cancer.Pathobiology : journal of immunopathology, molecular and cellular biology · 2025
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  7. Article
  8. Review
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  14. The regulation of PBXs and their emerging role in cancer.Journal of cellular and molecular medicine · 2022
    Review
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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.

Xinyu LiuSchool of Basic Medicine, College of Medicine, Qingdao University, Qingdao 266071, China.ORCID https://orcid.org/0000-0002-8173-1440
Ying LiuSchool of Basic Medicine, College of Medicine, Qingdao University, Qingdao 266071, China.
Qiangshan WangJiaozhou Maternal and Child Health Hospital, Qingdao 266300, China.
Siqi SongSchool of Basic Medicine, College of Medicine, Qingdao University, Qingdao 266071, China.
Lingjun FengThyroid & Breast Surgery, Hospital of Weifang Medical University, Weifang 261031, China.ORCID https://orcid.org/0000-0002-3588-3582
Chunying ShiSchool of Basic Medicine, College of Medicine, Qingdao University, Qingdao 266071, China.ORCID https://orcid.org/0000-0002-5710-8966

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The minichromosome maintenance (MCM) protein family plays a key role in eukaryotic DNA replication and has been confirmed to be associated with the occurrence and progression of many tumors. However, the expression levels, functions, and prognostic values of MCMs in breast cancer (BC) have not been clearly and systematically explained. In this article, we studied the transcriptional levels of MCMs in BC based on the Oncomine database. Kaplan-Meier plotter was used to analyze prognostic value of MCMs in human BC patients. Furthermore, we constructed a MCM coexpression gene network and performed functional annotation analysis through DAVID to reveal the functions of MCMs and coexpressed genes. The data showed that the expression of MCM2-8 and MCM10 but not MCM1 and MCM9 was upregulated in BC. Kaplan-Meier plotter analysis revealed that high transcriptional levels of MCM2, MCM4-7, and MCM10 were significantly related to low relapse-free survival (RFS) in BC patients. In contrast, high levels of MCM1 and MCM9 predicted high RFS for BC patients. This study suggests that MCM2, MCM4-7, and MCM10 possess great potential to be valuable prognostic biomarkers for BC and that MCM1 and MCM9 may serve as potential treatment targets for BC patients.

Identifiers

PMID34475953
PMCPMC8407980

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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.