Evidence map›Paper›PMID 23696020›Full record

ArticleMedical oncology (Northwood, London, England)2013

High SKIP expression is correlated with poor prognosis and cell proliferation of hepatocellular carcinoma.

Guoliang Liu, Xiaodong Huang, Xiaopeng Cui, Jing Zhang, Lixian Wei, Runzhou Ni, Cuihua Lu

Abstract read
PubMed Publisher
In one paragraph

Article in Medical oncology (Northwood, London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. SKIP expression is correlated with clinical prognosis in patients with bladder cancer.International journal of clinical and experimental pathology · 2014
    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

7 authors at 2 institutions in 1 country.

Guoliang LiuDepartment of Digestion, Affiliated Hospital of Nantong University, Medical College of Nantong University, Nantong 226001, Jiangsu, People's Republic of China.
Xiaodong Huang
Xiaopeng Cui
Jing Zhang
Lixian Wei
Runzhou Ni
Cuihua Lu
Nantong University · CNAffiliated Hospital of Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ski-interacting protein (SKIP) is a transcriptional cofactor distinct from other cofactors and involved in the regulation of many cancer-related proteins. This study investigated the expression of SKIP and its potential clinical and biological significances in hepatocellular carcinoma (HCC). Immunohistochemistry and Western blot were performed to detect the expression of SKIP in clinical HCC samples and adjacent noncancerous tissues. In addition, expression of SKIP was correlated with clinicopathological variables, and univariate and multivariate survival analyses were performed to determine the prognostic significance. Moreover, the biological significance of the aberrant expression of SKIP was investigated in vitro. High SKIP expression was detected in clinical HCC samples compared with adjacent noncancerous tissues. Expression of SKIP correlated directly with the histological grades of HCC and high expression of SKIP was associated with a poor prognosis. SKIP depletion by small interfering RNA inhibited cell proliferation and blocked S phase entry in HepG2 cells. Owing to overexpression of SKIP in HCC tissues and its important role in predicting poor prognosis and the development of HCC, SKIP could be a potential prognostic marker and therapeutic target of HCC.

Indexed as

Adaptor Proteins, Signal TransducingAdultAgedBiomarkers, TumorCarcinoma, HepatocellularCell Cycle CheckpointsCell ProliferationFemaleHep G2 CellsHumansLiver NeoplasmsMaleMiddle AgedPrognosisS PhaseSurvival AnalysisAdaptor Proteins, Signal TransducingBiomarkers, TumorSPHKAP protein, human

Identifiers

PMID23696020
OpenAlexW2062848248

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.