Evidence map›Paper›PMID 31959909›Full record

ArticleCancer gene therapy2020

Prognostic role of minichromosome maintenance family in multiple myeloma.

Liang Quan, Tingting Qian, Longzhen Cui, Yan Liu, Lin Fu, Chaozeng Si

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 9 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

6 authors at 3 institutions in 1 country.

Liang Quan *Department of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China.ORCID http://orcid.org/0000-0002-0478-4952
Tingting Qian *Department of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China.
Longzhen CuiTranslational Medicine Center, Huaihe Hospital of Henan University, 475000, Kaifeng, China.
Yan LiuTranslational Medicine Center, Huaihe Hospital of Henan University, 475000, Kaifeng, China.
Lin FuDepartment of Hematology, The Second Affiliated Hospital of Guangzhou Medical University, 510260, Guangzhou, China. fulin022@126.com.ORCID http://orcid.org/0000-0002-2416-7572
Chaozeng SiDepartment of Operations and Information Management, China-Japan Friendship Hospital, 100029, Beijing, China. supersi@aliyun.com.
Henan University Huaihe Hospital and Huaihe Clinical Institute · CNSecond Affiliated Hospital of Guangzhou Medical University · CNChina-Japan Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a plasma cell malignancy. The minichromosome maintenance (MCM) family involve in DNA replication and is vital in limiting replication in cell cycle. The prognostic role of MCMs in MM is still unclear. We took four independent GEO datasets to analyze the relationship between the expression of MCMs and myeloma progression and survival. The expression of MCMs showed an upward trend with myeloma progression in 205 patients. High MCM2/3/4/6/8 expression was associated with both poor EFS and OS (all p < 0.050). Multivariate analysis demonstrated that high MCM2 expression, B2M, and LDH were independent risk factors. Moreover, the combination of MCM2/B2M and MCM2/LDH was a better tool in prognostication. In conclusion, high MCM2 expression is an independent adverse prognostic factor and could be used as a prognostic biomarker in MM.

Indexed as

AdultAgedBiomarkers, TumorDisease-Free SurvivalFemaleHumansMiddle AgedMultiple MyelomaPrognosisBiomarkers, Tumor

Identifiers

PMID31959909
OpenAlexW2998773323

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.