Evidence map›Paper›PMID 24798976›Full record

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

Rsf-1 overexpression serves as a prognostic marker in human hepatocellular carcinoma.

Chengyao Xie, Lin Fu, Lingling Xie, Nan Liu, Qingchang Li

Abstract read
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In one paragraph

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 37% 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, 10 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

5 authors at 1 institution in 1 country.

Chengyao XieDepartment of Pathology, The First Affiliated Hospital and College of Basic Medical Sciences of China Medical University, Bei'er Road 92, Heping District, Shenyang, Liaoning Province, People's Republic of China.
Lin Fu
Lingling Xie
Nan Liu
Qingchang Li
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rsf-1 (HBXAP) was recently reported to be overexpressed in various cancers and associated with the malignant behavior of cancer cells. However, the expression of Rsf-1 and its clinical significance in human hepatocellular carcinoma (HCC) have not been reported. In the present study, we analyzed the expression pattern of Rsf-1 in human HCC tissues and found that Rsf-1 was overexpressed in 41.1 % of HCC specimens. There was a significant association between Rsf-1 overexpression and tumor stage (p = 0.0322), AFP (p = 0.0184), and tumor relapse (p = 0.0112). Furthermore, Rsf-1 overexpression correlated with poor overall survival in HCC patients (p < 0.001). Rsf-1 overexpression could serve as an independent predictor for poor recurrence-free survival (p = 0.0079). Small interfering RNA (siRNA) knockdown in SK-Hep-1 cells with high endogenous Rsf-1 expression inhibited cell proliferation and colony formation, with downregulation of cyclin E protein. In conclusion, Rsf-1 is overexpressed in HCCs and serves as a novel tumor marker. Rsf-1 contributes to hepatocellular carcinoma cell growth through regulation of cell cycle proteins.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, HepatocellularCell Line, TumorChromatin Assembly and DisassemblyCyclin D1FemaleHumansLiver NeoplasmsMaleMiddle AgedNuclear ProteinsPrognosisTrans-ActivatorsBiomarkers, TumorCCND1 protein, humanCyclin D1Nuclear ProteinsRSF1 protein, humanTrans-Activators

Identifiers

PMID24798976
OpenAlexW1994668331

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.