Evidence map›Paper›PMID 27843326›Full record

ArticleOncoTargets and therapy2016

MLL1 promotes cervical carcinoma cell tumorigenesis and metastasis through interaction with β-catenin.

Rong Qiang, Na Cai, Xiaobin Wang, Lin Wang, Ke Cui, Xiang Wang, Xu Li

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 14 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

7 authors at 2 institutions in 1 country.

Rong QiangCenter for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University; Medical Heredity Research Center, Northwest Women's and Children's Hospital, Shaanxi, People's Republic of China.
Na CaiMedical Heredity Research Center, Northwest Women's and Children's Hospital, Shaanxi, People's Republic of China.
Xiaobin WangMedical Heredity Research Center, Northwest Women's and Children's Hospital, Shaanxi, People's Republic of China.
Lin WangMedical Heredity Research Center, Northwest Women's and Children's Hospital, Shaanxi, People's Republic of China.
Ke CuiMedical Heredity Research Center, Northwest Women's and Children's Hospital, Shaanxi, People's Republic of China.
Xiang WangCenter for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University.
Xu LiCenter for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University.
Northwest Women's and Children's Hospital · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MLL protein genes encode a family of crucial transcription factors that play a key role in multiple cancer development. The functions of different MLL proteins have not been definitively studied. MLL1 is a histone methyltransferase that mediates histone H3 lysine 4, and it has been found to have aberrant expression in several tumors. However, the function of MLL1 in cervical carcinoma is little known. We used tissue analysis, cell culture experiments, and molecular profiling to investigate the mechanism of MLL1 in cervical carcinoma development. We report here that MLL1 is overexpressed in cervical carcinoma tissues and cell lines, and its overexpression is correlated with the tumor grade. Through FACScan flow cytometry assay, we found that MLL1 promotes cell proliferation by promoting the G

Indexed as

cell cyclemetastasisMLL1β-catenin

Identifiers

PMID27843326
PMCPMC5098588
OpenAlexW2547643605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.