Evidence map›Paper›PMID 33224876›Full record

ArticleFrontiers in oncology2020

Small Nuclear Ribonucleoprotein Polypeptide N Accelerates Malignant Progression and Poor Prognosis in Colorectal Cancer Transcriptionally Regulated by E2F8.

Meiling Ji, Li Ren, Yang Lv, Xinyuan Lao, Qingyang Feng, Wentao Tang, Aobo Zhuang, Tianyu Liu, Peng Zheng, Jianmin Xu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

10 authors.

Meiling JiDepartment of General Surgery, Zhongshan Hospital Fudan University, Shanghai, China.
Li RenDepartment of General Surgery, Zhongshan Hospital Fudan University, Shanghai, China.
Yang LvDepartment of General Surgery, Zhongshan Hospital Fudan University, Shanghai, China.
Xinyuan LaoDepartment of General Surgery, Zhongshan Hospital Fudan University, Shanghai, China.
Qingyang FengDepartment of General Surgery, Zhongshan Hospital Fudan University, Shanghai, China.
Wentao TangDepartment of General Surgery, Zhongshan Hospital Fudan University, Shanghai, China.
Aobo ZhuangDepartment of General Surgery, Zhongshan Hospital Fudan University, Shanghai, China.
Tianyu LiuDepartment of General Surgery, Zhongshan Hospital Fudan University, Shanghai, China.
Peng ZhengDepartment of General Surgery, Zhongshan Hospital Fudan University, Shanghai, China.
Jianmin XuDepartment of General Surgery, Zhongshan Hospital Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is a major cause of death worldwide, and the identification of new diagnostic and prognostic biomarkers is crucial to develop new strategies to avoid colorectal cancer-related deaths. Small nuclear ribonucleoprotein polypeptide N (SNRPN) is an imprinted gene that plays an important role in various neurodevelopmental disabilities. In this study, SNRPN was highly expressed in colorectal cancer tissues and involved in the progression of this disease. Immunohistochemistry analysis of 1,310 colorectal cancer tissue samples showed that SNRPN highly expressed in cancer tissues than in adjacent tissues and was mainly localized in the nucleus. Clinical pathological factor analysis demonstrated that higher expression of SNRPN was significantly associated with larger tumor size, location of the tumor on the left-sided colon, neural invasion, and distant metastasis. Univariate and multivariate analyses showed that SNRPN expression was an independent risk factor for survival, with high expression levels indicating worse overall survival. Both

Indexed as

colorectal cancerE2F8metastasisproliferationSNRPN

Identifiers

PMID33224876
PMCPMC7669248

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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.