Evidence map›Paper›PMID 24801907›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Overexpression of SPAG9 correlates with poor prognosis and tumor progression in hepatocellular carcinoma.

Chengyao Xie, Lin Fu, Nan Liu, Qingchang Li

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Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
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  12. Review
  13. Overexpression of SPAG9 in human gastric cancer is correlated with poor prognosis.Virchows Archiv : an international journal of pathology · 2015
    Article
  14. Article
  15. Oncoimmunology
    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

4 authors.

Chengyao XieDepartment of Pathology, First Affiliated Hospital and College of Basic Medical Sciences, China Medical University, Bei'er Road 92, Heping District Shenyang, 110001, Liaoning, People's Republic of China, xiechengyao@yeah.net.
Lin Fu
Nan Liu
Qingchang Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sperm-associated antigen 9 (SPAG9) was reported as a novel biomarker for several cancers and associated with the malignant behavior of cancer cells. However, its expression pattern and biological role in human hepatocellular carcinoma (HCC) have not been reported. In the present study, we analyzed SPAG9 expression in human HCC tissues by immunohistochemistry and found that SPAG9 overexpression is correlated with tumor stage (p < 0.001), tumor multiplicity (p = 0.019), tumor size (p = 0.034), AFP levels (p = 0.006), and tumor relapse (p = 0.0017). Furthermore, SPAG9 overexpression is correlated with poor overall survival (p < 0.001) and relapse-free survival (p = 0.002). Transfection of SPAG9 small interfering RNA (siRNA) was performed in Bel-7402 cell line. Colony formation and MTT showed that SPAG9 siRNA knockdown inhibited HCC cell proliferation. We also found that SPAG9 depletion could increase cell apoptosis. In addition, the level of cyclin D1 and cyclin E protein expression was downregulated after siRNA treatment. In conclusion, SPAG9 is overexpressed in human HCC and serves as a prognostic marker. SPAG9 contributes to cancer cell growth through regulation of cyclin proteins.

Indexed as

Adaptor Proteins, Signal TransducingAdultAgedCarcinoma, HepatocellularCell Line, TumorCyclin D1Disease ProgressionFemaleHumansLiver NeoplasmsMaleMiddle AgedPrognosisProportional Hazards ModelsAdaptor Proteins, Signal TransducingCCND1 protein, humanCyclin D1SPAG9 protein, human

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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.