Evidence map›Paper›PMID 27608773›Full record

ArticleCancer gene therapy2016

Small activating RNA upregulates NIS expression: promising potential for hepatocellular carcinoma endoradiotherapy.

W Xia, D Li, G Wang, J Ni, J Zhuang, M Ha, J Wang, Y Ye

Abstract read
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In one paragraph

Article in Cancer gene therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-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

6 citing papers in PubMed, 8 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

8 authors at 2 institutions in 1 country.

W XiaDepartment of Nuclear Medicine, Shanghai Seventh People's Hospital, Shanghai, China.
D LiDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Shanghai, China.
G WangDepartment of Nuclear Medicine, Shanghai Seventh People's Hospital, Shanghai, China.
J NiDepartment of Nuclear Medicine, Shanghai Seventh People's Hospital, Shanghai, China.
J ZhuangDepartment of Nuclear Medicine, Shanghai Seventh People's Hospital, Shanghai, China.
M HaDepartment of Infectious Diseases, Shanghai Seventh People's Hospital, Shanghai, China.
J WangPresident's Office of Shanghai Seventh People's Hospital, Shanghai, China.
Y YeCentral Laboratory, Shanghai Seventh People's Hospital, Shanghai, China.
Seventh People's Hospital of Shanghai · CNShanghai Tenth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide. Currently, the clinical strategies available for the treatment of HCC remain insufficient for the poor prognosis. Sodium/iodide symporter (NIS)-based radioiodine therapy is proposed as a promising therapeutic strategy for the treatment of HCC. However, it is difficult for HCC cells to trap iodine for the lower expression of NIS. Small activating RNA (saRNA) is a newly identified small double-stranded RNA (dsRNA) that can induce endogenous gene expression by targeting promoter sequences. Here, we designed an saRNA (saRNA-482) that targeted the NIS promoter sequences. In the cultured HepG2 cells and Hep3B cells, the expressions of NIS were upregulated after transfection of saRNA-482. In addition, the uptake of

Indexed as

Gene Expression Regulation, NeoplasticUp-RegulationApoptosisCarcinoma, HepatocellularCell SurvivalCpG IslandsHep G2 CellsHumansLiver NeoplasmsNecrosisPrognosisPromoter Regions, GeneticRNA, Double-StrandedSodium-Iodide SymportersSymportersRNA, Double-StrandedSodium-Iodide SymportersSymporters

Identifiers

PMID27608773
OpenAlexW2514313196

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.