Evidence map›Paper›PMID 26823810›Full record

ArticleInternational journal of clinical and experimental pathology2015

High expression of myofibrillogenesis regulator-1 predicts poor prognosis for patients with hepatocellular carcinoma after curative hepatectomy.

Chunwei Wang, Hua Xiang, Huiyuan Si, Dandan Guo, Mei Sun

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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  2. Article
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

5 authors.

Chunwei WangDepartment of Surgery and Infections Diseases, Chinese PLA Air Force General Hospital Beijing 100142, China.
Hua XiangDepartment of Surgery and Infections Diseases, Chinese PLA Air Force General Hospital Beijing 100142, China.
Huiyuan SiDepartment of Surgery and Infections Diseases, Chinese PLA Air Force General Hospital Beijing 100142, China.
Dandan GuoDepartment of Surgery and Infections Diseases, Chinese PLA Air Force General Hospital Beijing 100142, China.
Mei SunDepartment of Surgery and Infections Diseases, Chinese PLA Air Force General Hospital Beijing 100142, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myofibrillogenesis regulator (MR-1) is overexpressed in human cancer cells and plays an essential role in cancer cell growth. However, its role in hepatocellular carcinoma (HCC) has not yet been explored. The aim of this study was to investigate the association of MR-1 expression with clinicopathologic features and prognosis in patients with HCC. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) was used to detect MR-1 mRNA levels in tissues samples from 120 HCC patients. Results showed that MR-1 expression was significantly higher in HCC tissues when compared with matched adjacent normal tissues (P=0.004). In HCC cancerous tissues, it was also significantly associated with tumor size (P=0.024) and serum AFP level (P=0.003). Moreover, Kaplan-Meier analysis showed that HCC patients with high MR-1 expression had shorter overall survival time than those with low MR-1 expression (P=0.009). When analyzed with a multivariate Cox regression model, MR-1 was identified as an independent prognostic factor for overall survival. Furthermore, when combined with serum AFP level, the median survival time significantly differed between patients with baseline high serum AFP and high MR-1 expression levels and those with normal AFP and low MR-1 levels (P=0.007). Taken together, our results suggest that high expression of MR-1 is involved in HCC progression and could be a novel biomarker of poor prognosis in patients with HCC.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, HepatocellularDisease ProgressionFemaleHepatectomyHumansKaplan-Meier EstimateLiver NeoplasmsMaleMiddle AgedMuscle ProteinsPrognosisProportional Hazards ModelsReverse Transcriptase Polymerase Chain ReactionBiomarkers, TumorMuscle ProteinsPNKD protein, humanhepatocellular carcinomaMyofibrillogenesis regulator-1overall survivalprognosis

Identifiers

PMID26823810
PMCPMC4713596

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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.