Evidence map›Paper›PMID 28869598›Full record

ArticleOncogene2018

RCC2 is a novel p53 target in suppressing metastasis.

C Song, L Liang, Y Jin, Y Li, Y Liu, L Guo, C Wu, C-H Yun, Y Yin

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 29 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

9 authors at 2 institutions in 1 country.

C SongInstitute of Systems Biomedicine, Departments of Pathology and Biophysics, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing, China.
L LiangInstitute of Systems Biomedicine, Departments of Pathology and Biophysics, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing, China.
Y JinInstitute of Systems Biomedicine, Departments of Pathology and Biophysics, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing, China.
Y LiInstitute of Systems Biomedicine, Departments of Pathology and Biophysics, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing, China.
Y LiuInstitute of Systems Biomedicine, Departments of Pathology and Biophysics, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing, China.
L GuoInstitute of Systems Biomedicine, Departments of Pathology and Biophysics, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing, China.
C WuInstitute of Systems Biomedicine, Departments of Pathology and Biophysics, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing, China.
C-H YunInstitute of Systems Biomedicine, Departments of Pathology and Biophysics, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing, China.
Y YinInstitute of Systems Biomedicine, Departments of Pathology and Biophysics, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking-Tsinghua Center for Life Sciences, Peking University Health Science Center, Beijing, China.
Peking University · CNCenter for Life Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RCC2 (also known as TD60) is a highly conserved protein involved in prognosis in colorectal cancer. However, its relationship with tumor development is less understood. Here we demonstrate a signaling pathway defining regulation of RCC2 and its functions in tumor progression. We report that p53 is a transcriptional regulator of RCC2 that acts through its binding to a palindromic motif in the RCC2 promoter. RCC2 physically interacts and deactivates a small GTPase Rac1 that is known to be involved in metastasis. We solved a high-resolution crystal structure of RCC2 and revealed one RCC1-like domain with a unique β-hairpin that is requisite for RCC2 interaction with Rac1. p53 or RCC2 deficiency leads to activation of Rac1 and deterioration of extracellular matrix sensing (haptotaxis) of surface-bound gradients. Ectopic expression of RCC2 restores directional migration in p53-null cells. Our results demonstrate that p53 and RCC2 signaling is important for regulation of cell migration and suppression of metastasis. We propose that the p53/RCC2/Rac1 axis is a potential target for cancer therapy.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsCell Line, TumorCell MovementChromosomal Proteins, Non-HistoneColorectal NeoplasmsCrystallography, X-RayFemaleGuanine Nucleotide Exchange FactorsHumansInverted Repeat SequencesMiceMice, Inbred BALB CMice, NudePrognosisProtein BindingChromosomal Proteins, Non-HistoneGuanine Nucleotide Exchange Factorsrac1 GTP-Binding ProteinRAC1 protein, humanRCC2 protein, humanTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID28869598
PMCPMC5759027
OpenAlexW2752465846

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.