Evidence map›Paper›PMID 36457503›Full record

ArticleFrontiers in oncology2022

PUS1 is a novel biomarker for predicting poor outcomes and triple-negative status in breast cancer.

Zheng Fang, Hong-Yu Shen, Qi Xu, Hong-Lei Zhou, Lei Li, Si-Yuan Yang, Zhen Zhu, Jin-Hai Tang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. 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
1.1field-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

11 citing papers in PubMed, 15 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

8 authors at 2 institutions in 1 country.

Zheng FangDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hong-Yu ShenDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qi XuDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hong-Lei ZhouDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lei LiDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Si-Yuan YangDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhen ZhuDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jin-Hai TangDepartment of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer patients' outcomes have improved dramatically in recent years, but relapses and poor prognosis remain common due to its aggressiveness and heterogeneity. The development of reliable biomarkers is still needed for predicting prognosis and treatment effectiveness. Recently, a growing body of research suggests that pseudouridine synthases contribute to the development of many cancers, but their contribution to breast cancer remains largely unknown. Using an integrative analysis, we selected pseudouridine synthase1(PUS1) as the candidate biomarker. A tissue microarray of 131 breast cancer patients was then utilized to determine the clinical significance and prognostic value of PUS1. RNA sequencing analysis was conducted to identify downstream genes that differ between control and PUS1 knockdown cells. The effect of PUS1 on phenotypes of cells was assessed using cell proliferation, colony formation, and transwell invasion assays. We found that breast tumors overexpressed PUS1 compared with paired normal tissues. PUS1 expression was positively correlated with triple-negative breast cancer (TNBC) status (

Indexed as

biomarkerbreast cancerprognosisPUS1tissue microarray

Identifiers

PMID36457503
PMCPMC9705787
OpenAlexW4309026676

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.