Evidence map›Paper›PMID 31110467›Full record

ArticleCancer cell international2019

UBN2 promotes tumor progression via the Ras/MAPK pathway and predicts poor prognosis in colorectal cancer.

Ya-Li Zhao, Shen-Rong Zhong, Shi-Hong Zhang, Jia-Xin Bi, Zhi-Yuan Xiao, Shu-Yang Wang, Hong-Li Jiao, Dan Zhang, Jun-Feng Qiu, Ling-Jie Zhang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

13 citing papers in PubMed, 20 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

16 authors at 3 institutions in 1 country.

Ya-Li Zhao *1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Shen-Rong Zhong *1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Shi-Hong Zhang *4Department of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong China.
Jia-Xin Bi1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Zhi-Yuan Xiao1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Shu-Yang Wang1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Hong-Li Jiao1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Dan Zhang1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Jun-Feng Qiu1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Ling-Jie Zhang1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Cheng-Mei Huang1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Xiao-Ling Chen1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Yan-Qing Ding1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Ya-Ping Ye1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Li Liang1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Wen-Ting Liao1Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong China.
Southern Medical University · CNNanfang Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUbinuclein-2 (UBN2) is a nuclear protein that interacts with many transcription factors. The molecular role and mechanism of UBN2 in the development and progression of cancers, including colorectal cancer (CRC), is not well understood. The current study explored the role of UBN2 in the development and progression CRC.

methodsOncomine network and The Cancer Genome Atlas (TCGA) database were downloaded and Gene Set Enrichment Analysis (GSEA) was performed to compare the UBN2's expression between normal and tumor tissues, as well as the potential correlation of UBN2 expression with signaling pathways. Immunohistochemistry (IHC), qRT-PCR and Western blotting were performed to determine the expression of UBN2 in CRC tissues or cell lines. In vitro proliferation and invasion assays, and orthotopic mouse metastatic model were used to analyze the effect of UBN2 on the development and progression of CRC.

resultsThe analysis of UBN2 expression using Oncomine network showed that UBN2 was upregulated in CRC tissues compared to matched adjacent normal intestinal epithelial tissues. IHC, qRT-PCR and Western blotting confirmed that UBN2 expression is higher in CRC tissues compared with matched adjacent normal intestinal epithelial tissues. In addition, analyses of TCGA data revealed that high UBN2 expression was associated with advanced stages of lymph node metastasis, distant metastasis, and short survival time in CRC patients. IHC showed that high UBN2 expression is correlated with advanced stages of CRC. Moreover, UBN2 is highly expressed in the liver metastatic lesions. Furthermore, knockdown of UBN2 inhibited the growth, invasiveness and metastasis of CRC cells via regulation of the Ras/MAPK signaling pathway.

conclusionThe current study demonstrates that UBN2 promotes tumor progression in CRC. UBN2 may be used as a promising biomarker for predicting the prognosis of CRC patients.

Indexed as

Colorectal cancerMetastasisPrognosisProliferationRas/MAPKUBN2

Identifiers

PMID31110467
PMCPMC6511126
OpenAlexW2946933201

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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.