Evidence map›Paper›PMID 36429038›Full record

ArticleCells2022

Estrogen-Inducible LncRNA

Kuniko Horie, Kiyoshi Takagi, Toshihiko Takeiwa, Yuichi Mitobe, Hidetaka Kawabata, Takashi Suzuki, Kazuhiro Ikeda, Satoshi Inoue

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 15 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 4 institutions in 1 country.

Kuniko HorieDivision of Systems Medicine & Gene Therapy, Saitama Medical University, Saitama 350-1241, Japan.
Kiyoshi TakagiDepartment of Pathology and Histotechnology, Tohoku University School of Medicine, Sendai 980-8575, Japan.
Toshihiko TakeiwaDivision of Systems Medicine & Gene Therapy, Saitama Medical University, Saitama 350-1241, Japan.
Yuichi MitobeDivision of Systems Medicine & Gene Therapy, Saitama Medical University, Saitama 350-1241, Japan.ORCID 0000-0001-5200-5362
Hidetaka KawabataDepartment of Breast and Endocrine Surgery, Toranomon Hospital, Tokyo 105-8470, Japan.
Takashi SuzukiDepartment of Pathology and Histotechnology, Tohoku University School of Medicine, Sendai 980-8575, Japan.ORCID 0000-0003-0195-815X
Kazuhiro IkedaDivision of Systems Medicine & Gene Therapy, Saitama Medical University, Saitama 350-1241, Japan.
Satoshi InoueDivision of Systems Medicine & Gene Therapy, Saitama Medical University, Saitama 350-1241, Japan.ORCID 0000-0003-1247-3844
Saitama Medical University · JPTohoku University · JPTokyo Metropolitan Institute of Gerontology · JPToranomon Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in RNA studies have revealed that functional long noncoding RNAs (lncRNAs) contribute to the biology of cancers. In breast cancer, estrogen receptor α (ERα) is an essential transcription factor that primarily promotes the growth of luminal-type cancer, although only a small number of lncRNAs are identified as direct ERα targets and modulators for ERα signaling. In this study, we performed RNA-sequencing for ER-positive breast cancer cells and identified a novel estrogen-inducible antisense RNA in the

Indexed as

Breast NeoplasmsRNA, Long NoncodingEstrogen Receptor alphaEstrogensFemaleHumansReceptors, EstrogenEstrogen Receptor alphaEstrogensReceptors, EstrogenRNA, Long Noncodingbreast cancerendocrine therapy resistanceestrogen receptorin situ hybridizationlong noncoding RNAprognosis

Identifiers

PMID36429038
PMCPMC9688125
OpenAlexW4309311184

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.