Evidence map›Paper›PMID 29844812›Full record

ArticleOncology letters2018

Downregulation of RIP140 in triple-negative breast cancer inhibits the growth and proliferation of cancer cells.

Xiao-Hong Yu, Xiaodong Xue, Xun Zhu, Xia Li

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  5. 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

4 authors at 1 institution in 1 country.

Xiao-Hong YuDepartment of Breast Surgery, 903 Hospital, Jiangyou, Sichuan 421700, P.R. China.
Xiaodong XueDepartment of Breast Surgery, 903 Hospital, Jiangyou, Sichuan 421700, P.R. China.
Xun ZhuDepartment of General Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Xia LiDepartment of Breast Surgery, 903 Hospital, Jiangyou, Sichuan 421700, P.R. China.
Second Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to investigate the expression of receptor interacting protein 140 (RIP140) in triple-negative breast cancer (TNBC), and its association with the prognosis of patients with TNBC. A total of 179 patients with breast cancer were included in this study, with 41 cases of TNBC and 138 cases of non-TNBC. Immunohistochemical staining and western blotting were used to detect the protein expression of RIP140 in the cancerous and paracancerous tissues, revealing that expression of RIP140 was increased in TNBC tissues compared with non-TNBC tissues. High expression of RIP140 in breast cancer tissue was associated with a poorer survival time than low RIP140 expression. Using lentiviral transfection to downregulate RIP140 expression in MDA-MB-231 cells, the effects of RIP140 on the growth and proliferation of breast cancer cells was analyzed using subcutaneous tumors in BALB/c nude mice. Immunohistochemical staining using a Ki-67 antibody in subcutaneous tumor tissue was used to assess the proliferation of MDA-MB-231 cells. The short hairpin RNA-mediated downregulation of RIP140 in MDA-MB-231 cells suppressed the growth and the proliferation of subcutaneous tumors in BALB/c nude mice. Downregulation of RIP140 in breast cancer cells may therefore inhibit the growth and the proliferation of these cells, and may provide a therapeutic target for TNBC.

Indexed as

prognosisproliferationreceptor interacting protein 140triple-negative breast cancer

Identifiers

PMID29844812
PMCPMC5958796
OpenAlexW2795747360

What OpenQuestion holds

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Registered trials

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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.