Evidence map›Paper›PMID 33785648›Full record

ArticleMolecular cancer therapeutics2021

Targeting Ovarian Cancer Stem Cells by Dual Inhibition of HOTAIR and DNA Methylation.

Weini Wang, Fang Fang, Ali Ozes, Kenneth P Nephew

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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  6. Chromatin Organization Governs Transcriptional Response and Plasticity of Cancer Stem Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

4 authors at 2 institutions in 1 country.

Weini WangMedical Sciences, Indiana University School of Medicine, Bloomington, Indiana.
Fang FangMedical Sciences, Indiana University School of Medicine, Bloomington, Indiana.ORCID 0000-0002-7160-5723
Ali OzesMedical Sciences, Indiana University School of Medicine, Bloomington, Indiana.
Kenneth P NephewMedical Sciences, Indiana University School of Medicine, Bloomington, Indiana. knephew@iu.edu.ORCID 0000-0003-2192-1346
Indiana University Bloomington · USIndiana University Health · US

Funding

Tumor Microenvironment and Metastasis ProgramP30CA082709 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Jun Wan · 1999 to 2026
$59.3M
NCI NIH HHS P30 CA082709
6 · The paper itself

Abstract

Ovarian cancer is a chemoresponsive tumor with very high initial response rates to standard therapy consisting of platinum/paclitaxel. However, most women eventually develop recurrence, which rapidly evolves into chemoresistant disease. Persistence of ovarian cancer stem cells (OCSCs) at the end of therapy has been shown to contribute to resistant tumors. In this study, we demonstrate that the long noncoding RNA HOTAIR is overexpressed in HGSOC cell lines. Furthermore, HOTAIR expression was upregulated in OCSCs compared with non-CSC, ectopic overexpression of HOTAIR enriched the ALDH

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsAzacitidineCell Line, TumorCell ProliferationDisease Models, AnimalDNA (Cytosine-5-)-MethyltransferasesDNA MethylationFemaleHumansMiceNeoplastic Stem CellsOvarian NeoplasmsPeptide Nucleic AcidsRNA, Long NoncodingXenograft Model Antitumor AssaysAzacitidineDNA (Cytosine-5-)-MethyltransferasesguadecitabineHOTAIR long untranslated RNA, humanPeptide Nucleic AcidsRNA, Long Noncoding

Identifiers

PMID33785648
PMCPMC8172444
OpenAlexW3152113071

What OpenQuestion holds

Textmetadata
LicenceTDM
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.