Evidence map›Paper›PMID 34109171›Full record

ArticleFrontiers in cell and developmental biology2021

Plasma HSP90AA1 Predicts the Risk of Breast Cancer Onset and Distant Metastasis.

Haizhou Liu, Zihan Zhang, Yi Huang, Wene Wei, Shufang Ning, Jilin Li, Xinqiang Liang, Kaisheng Liu, Litu Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 77 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.

Haizhou LiuDepartment of Research, Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China.
Zihan ZhangDepartment of Research, Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China.
Yi HuangDepartment of Research, Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China.
Wene WeiDepartment of Research, Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China.
Shufang NingDepartment of Research, Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China.
Jilin LiDepartment of Research, Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China.
Xinqiang LiangDepartment of Research, Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China.
Kaisheng LiuShenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Litu ZhangDepartment of Research, Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China.
Tumor Hospital of Guangxi Medical University · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimWe aimed to develop and validate a comprehensive nomogram containing pre-treatment plasma HSP90AA1 to predict the risk of breast cancer onset and metastasis.

methodsWe assessed the expression of HSP90s in breast cancer patients using an online database. To verify the results, 677 patients diagnosed with breast cancer and 146 patients with benign breast disease between 2014 and 2019 were selected from our hospital and were divided into cancer risk and metastasis risk cohorts. We focused on HSP90AA1 to elucidate the risks of onset and metastasis in the cohorts.

resultsExpression levels of

conclusionOur study revealed that pretreatment plasma HSP90AA1 combined with other markers could conveniently predict the risk of breast cancer onset and metastasis.

Indexed as

breast cancerheat shock protein-90metastasisnomogramprognosis

Identifiers

PMID34109171
PMCPMC8181396
OpenAlexW3164576924

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.