Evidence map›Paper›PMID 24676542›Full record

ArticleMolecular and cellular biochemistry2014

Heme oxygenase-1 silencing increases the sensitivity of human osteosarcoma MG63 cells to arsenic trioxide.

Lingzhi Zhong, Yang Wang, Wenxue Li, Junlian Gu, Xiuying Li, Xiaotong Wang, Zhen Yue, Yan Mu, Jinping Bai, Ronggui Li and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular and cellular biochemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Lingzhi ZhongThe Key Laboratory of Pathobiology, Ministry of Education, Norman Bethune College of Medicine, Jilin University, Changchun, 130021, People's Republic of China.
Yang Wang
Wenxue Li
Junlian Gu
Xiuying Li
Xiaotong Wang
Zhen Yue
Yan Mu
Jinping Bai
Ronggui Li
Haiying Zhang
First Bethune Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arsenic trioxide (ATO) has been successfully used to treat leukemia and some solid malignant tumors. Our previous study regarding the effects of ATO on mesenchymal-derived human osteosarcoma MG63 cells showed that heme oxygenase-1 (HO-1) was strongly induced upon treatment with ATO. The present study sought to investigate the effect of silencing HO-1 on the sensitivity of osteosarcoma cells to ATO to determine the potential for therapeutic applications. Small hairpin RNA (shRNA)-mediated interference was used to silence HO-1 in MG63 cells. Viability, apoptosis, and intracellular reactive oxygen species (ROS) of the cells were assessed to evaluate the sensitivity of the cells to ATO as well as the potential mechanisms responsible. shRNA-mediated interference prevented the induction of HO-1, increased cell death, and increased intracellular ROS levels in MG63 cells upon treatment with ATO. Silencing HO-1 increased the susceptibility of MG63 cells to the chemotherapeutic drug ATO by enhancing intracellular accumulation of ROS. Our results suggest that the inhibition of HO-1 could improve the outcome of osteosarcoma treated with ATO.

Indexed as

Gene SilencingApoptosisArsenicalsArsenic TrioxideBase SequenceBone NeoplasmsCell Line, TumorDNA PrimersHeme Oxygenase-1HumansOsteosarcomaOxidesPolymerase Chain ReactionReactive Oxygen SpeciesArsenicalsArsenic TrioxideDNA PrimersHeme Oxygenase-1OxidesReactive Oxygen Species

Identifiers

PMID24676542
OpenAlexW1968168170

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.