Evidence map›Paper›PMID 26933386›Full record

ArticleCancer cell international2016

Decreased expression of Sushi Domain Containing 2 correlates to progressive features in patients with hepatocellular carcinoma.

Xin-Rui Liu, Cui-Xia Cai, Li-Min Luo, Wen-Ling Zheng, Rong Shi, Jun Zeng, You-Qin Xu, Min Wei, Wen-Li Ma

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. SUSD2Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
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  7. Oncotarget · 2020
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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

9 authors at 2 institutions in 1 country.

Xin-Rui LiuInstitute of Genetic Engineering, School of Basic Medical Sciences, Southern Medical University, No.1838, Baiyun Road North, Guangzhou, China.
Cui-Xia CaiInstitute of Genetic Engineering, School of Basic Medical Sciences, Southern Medical University, No.1838, Baiyun Road North, Guangzhou, China.
Li-Min LuoCentre for Liver Disease, 458th Hospital of PLA, Guangzhou, 510602 China.
Wen-Ling ZhengInstitute of Genetic Engineering, School of Basic Medical Sciences, Southern Medical University, No.1838, Baiyun Road North, Guangzhou, China.
Rong ShiInstitute of Genetic Engineering, School of Basic Medical Sciences, Southern Medical University, No.1838, Baiyun Road North, Guangzhou, China.
Jun ZengInstitute of Genetic Engineering, School of Basic Medical Sciences, Southern Medical University, No.1838, Baiyun Road North, Guangzhou, China.
You-Qin XuInstitute of Genetic Engineering, School of Basic Medical Sciences, Southern Medical University, No.1838, Baiyun Road North, Guangzhou, China.
Min WeiInstitute of Genetic Engineering, School of Basic Medical Sciences, Southern Medical University, No.1838, Baiyun Road North, Guangzhou, China.
Wen-Li MaInstitute of Genetic Engineering, School of Basic Medical Sciences, Southern Medical University, No.1838, Baiyun Road North, Guangzhou, China.
Southern Medical University · CN458th Hospital PLA · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSushi Domain Containing 2 (SUSD2) has been identified as a regulator of colon and breast cancer. Increasing evidence suggests that SUSD2 plays a key role in tumorigenesis. However, the SUSD2 expression status and its functions in hepatocellular carcinoma (HCC) are still unrevealed. In the present study, we intended to investigate SUSD2 expression status and its correlation with the clinicopathological features in HCC patients. Furthermore,we examined the influence of SUSD2 on the proliferation, apoptosis, invasion and migration of the HCC cell lines HepG2 and SMMC7721.

methodsWe evaluated the SUSD2 expression in HCC tissues and paired normal liver tissues by quantitative real-time PCR and western blotting analysis. The clinicopathological significance of SUSD2 was investigated by immunohistochemistry (IHC) on a HCC tissue microarray. Receiver operating characteristic (ROC) analysis was applied to determine the optimal cut-off score for positive expression of SUSD2. The correlation between SUSD2 protein expression and clinicopathological features of HCC was analyzed by Chi square test. The cell proliferation, apoptosis, invasion and migration potential were observed to detect the functions of SUSD2 in HCC cells.

resultsDecreased expression of SUSD2 mRNA and protein were observed in the majority of HCC tissues, compared with paired normal liver tissues. When SUSD2 high expression percentage was determined to be above 52.5 % (area under ROC curve = 0.769, P = 0.000), low expression of SUSD2 was observed in 62.2 % (112/180) of HCC tissues and high expression of SUSD2 was observed in all normal liver tissues (16/16) by IHC. Decreased expression of SUSD2 in patients was correlated with high histological grade (χ(2) = 5.198, P = 0.023), advanced clinical stage (χ(2) = 30.244, P = 0.000), pT status (χ(2) = 33.175, P = 0.000), pN status (χ(2) = 4.785, P = 0.029), pM status (χ(2) = 4.620, P = 0.032). Down-regulation of SUSD2 promoted cell proliferation,invasion and migration,reduced the cell apoptosis.

conclusionsOur findings suggest that SUSD2 may play as a tumor suppressor in HCC cells and could be served as an additional potential marker for diagnosis.

Indexed as

ApoptosisCell proliferationHepatocellular carcinomaImmunohistochemistryInvasionMigrationSUSD2Tissue microarray

Identifiers

PMID26933386
PMCPMC4772460
OpenAlexW2290720193

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.