Evidence map›Paper›PMID 18595131›Full record

ArticleWorld journal of gastroenterology2008

Secretory Transactivating Transcription-apoptin fusion protein induces apoptosis in hepatocellular carcinoma HepG2 cells.

Su-Xia Han, Jin-Lu Ma, Yi Lv, Chen Huang, Hai-Hua Liang, Kang-Min Duan

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Viral genes as oncolytic agents for cancer therapy.Cellular and molecular life sciences : CMLS · 2015
    Review
  4. 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

6 authors.

Su-Xia HanCollege of Life Sciences, Northwest University, Xi'an 710069, Shaanxi Province, China.
Jin-Lu Ma
Yi Lv
Chen Huang
Hai-Hua Liang
Kang-Min Duan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine whether SP-TAT-apoptin induces apoptosis and also maintains its tumor cell specificity.

methodsIn this study, we designed a secretory protein by adding a secretory signal peptide (SP) to the N terminus of Transactivating Transcription (TAT)-apoptin (SP-TAT-apoptin), to test the hypothesis that it gains an additive bystander effect as an anti-cancer therapy. We used an artificial human secretory SP whose amino acid sequence and corresponding cDNA sequence were generated by the SP hidden Markov model.

resultsIn human liver carcinoma HepG2 cells, SP-TAT-apoptin expression showed a diffuse pattern in the early phase after transfection. After 48 h, however, it translocated into the nuclear compartment and caused massive apoptotic cell death, as determined by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay and annexin-V binding assay. SP-TAT-apoptin did not, however, cause any cell death in non-malignant human umbilical vein endothelial cells (HUVECs). Most importantly, the conditioned medium from Chinese hamster ovary (CHO) cells transfected with SP-TAT-apoptin also induced significant cell death in HepG2 cells, but not in HUVECs.

conclusionThe data demonstrated that SP-TAT-apoptin induces apoptosis only in malignant cells, and its secretory property might greatly increase its potency once it is delivered in vivo for cancer therapy.

Indexed as

ApoptosisProtein Sorting SignalsAnimalsCapsid ProteinsCarcinoma, HepatocellularCell Line, TumorCell NucleusCHO CellsCricetinaeCricetulusCulture Media, ConditionedEndothelial CellsGene Products, tatGenetic TherapyHumansLiver NeoplasmsCapsid ProteinsCulture Media, ConditionedGene Products, tatProtein Sorting SignalsRecombinant Fusion Proteins

Identifiers

PMID18595131
PMCPMC2719227

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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.