Evidence map›Paper›PMID 32934749›Full record

ArticleOncology letters2020

Expression of SLC17A9 in hepatocellular carcinoma and its clinical significance.

Jingdong Wu, Yongfei Yang, Jiansheng Song

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

8 citing papers in PubMed, 13 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

3 authors at 2 institutions in 1 country.

Jingdong WuDepartment of Emergency Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hebei 430010, P.R. China.
Yongfei YangDepartment of Emergency Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hebei 430010, P.R. China.
Jiansheng SongDepartment of Emergency Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hebei 430010, P.R. China.
Huazhong University of Science and Technology · CNCentral Hospital of Wuhan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the expression and clinical significance of solute carrier family 17 member 9 (SLC17A9) in cancer tissues of patients with hepatocellular carcinoma (HCC). Ninety-eight patients with HCC were admitted to our hospital from January 2010 to December 2014. Their clinical data was retrospectively analyzed. The expression of SLC17A9 in HCC cancer tissues was detected by immunohistochemistry. Kaplan-Meier curve, log-rank test and Cox proportional hazard model analysis were used to analyze the tumor-free survival rate and overall survival rate. SLC17A9 expression was associated with Edmondson grade (P=0.04) and distant metastasis (P=0.03). The tumor-free survival (P=0.03) and overall survival (P=0.01) of SLC17A9-high expression patients were significantly lower than those in SLC17A9-low expression patients. Multivariate analysis revealed that SLC17A9 expression (HR, 0.77; 95% CI, 0.27-2.47, P=0.02) was an independent risk factor for tumor-free survival in patients with HCC, and the expression of SLC17A9 (HR, 1.81; 95% CI, 0.99-3.77, P=0.04) was an independent risk factor for overall survival in patients with HCC. In conclusion, SLC17A9 can be used as a new molecular marker to predict the poor prognosis of patients with HCC.

Indexed as

hepatocellular carcinomaimmunohistochemistrymolecular markerprognosisSLC17A9

Identifiers

PMID32934749
PMCPMC7471742
OpenAlexW3081854063

What OpenQuestion holds

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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.