Evidence map›Paper›PMID 22704489›Full record

ArticleChinese journal of cancer2013

Prognostic value of soluble MICA levels in the serum of patients with advanced hepatocellular carcinoma.

Jian-Jun Li, Ke Pan, Mo-Fa Gu, Min-Shan Chen, Jing-Jing Zhao, Hui Wang, Xiao-Ting Liang, Jian-Cong Sun, Jian-Chuan Xia

Abstract read
In one paragraph

Article in Chinese journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jian-Jun LiDepartment of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China..
Ke Pan
Mo-Fa Gu
Min-Shan Chen
Jing-Jing Zhao
Hui Wang
Xiao-Ting Liang
Jian-Cong Sun
Jian-Chuan Xia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum levels of soluble MHC class I-related chain A (sMICA) are related with the prognosis of various types of cancer; however, few studies on the prognostic value of sMICA in hepatocellular carcinoma (HCC) have been reported. In this study, we retrospectively investigated the relationship between sMICA levels and clinical features of advanced HCC, and we assessed the prognostic value of sMICA in advanced HCC. Furthermore, the relationship of serum sMICA levels and natural killer group 2, member D (NKG2D) expression on natural killer (NK) cells was also evaluated. We detected sMICA levels in the serum of 60 advanced HCC patients using enzyme-linked immunosorbent assay (ELISA) and measured expression levels of NKG2D on NK cells using flow cytometry. We found that serum sMICA levels in HCC patients were in the range of 0.10-6.21 ng/mL. Chi-square analyses showed that sMICA level was significantly related with only tumor size. Survival analysis showed that a high sMICA level was significantly related with poor prognosis among HCC patients. Multivariate analyses indicated that sMICA was an independent prognostic factor. In addition, the levels of CD56+NKG2D+ NK cells were within the range of 11.2%-55.4%, and correlation analyses indicated that sMICA level was negatively correlated with the level of NKG2D+ NK cells. Our results suggest that serum sMICA levels may be an independent prognostic factor for advanced HCC.

Indexed as

AdultCarcinoma, HepatocellularFemaleHistocompatibility Antigens Class IHumansKiller Cells, NaturalLiver NeoplasmsMaleMiddle AgedMultivariate AnalysisNeoplasm StagingNK Cell Lectin-Like Receptor Subfamily KRetrospective StudiesSurvival RateTumor BurdenHistocompatibility Antigens Class IKLRK1 protein, humanMHC class I-related chain ANK Cell Lectin-Like Receptor Subfamily K

Identifiers

PMID22704489
PMCPMC3845598

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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.