Evidence map›Paper›PMID 35117245›Full record

ArticleTranslational cancer research2020

Comprehensive analysis of the

Haoming Wu, Xinjian Huang, Siliang Chen, Siqi Li, Jikun Feng, Xiazi Zouxu, Zeming Xie, Xinhua Xie, Xi Wang

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. iScience · 2026
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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 3 institutions in 1 country.

Haoming Wu *Department of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xinjian Huang *Department of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Siliang Chen *Department of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Siqi LiDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jikun FengDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xiazi ZouxuDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zeming XieDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xinhua XieDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xi WangDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
State Key Laboratory of Oncology in South ChinaSun Yat-sen University Cancer Center · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn increasing amount of research over recent years on the anti-metastasis function of the non-metastatic (

methodsIn this study, ONCOMINE, GEPIA, Kaplan-Meier plotter, cBioPortal, String, and metascape databases were utilized for comparison of the mRNA expression, patient survival and network analysis of NME-associated signaling pathways in BC patients.

resultsThe mRNA expression of NME1 and NME2 was significantly increased in BC. Additionally, high NME 1 and NME2 levels were related to poor overall survival (OS), while the upregulated expression of NME3, NME5, and NME7 indicated prolonged survival. Moreover, increased mRNA level, amplification, or deep deletions in the NME gene family were identified in approximately 41% (450/1098) of all included BC specimens.

conclusionsCollectively, our findings revealed that the elevated expression of NME1 and NME2 could act as a biomarker and predictive tool for BC patients with poor prognosis. Furthermore, our findings indicated that NME3, NME5, and NME7 might play the roles of tumor suppressor genes, which require validation through further experiments.

Indexed as

molecular functionsNME gene family, breast cancer (BC)prognostic valuetranscription factor

Identifiers

PMID35117245
PMCPMC8798044
OpenAlexW3094674045

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.