Evidence map›Paper›PMID 32984314›Full record

ArticleFrontiers in cell and developmental biology2020

The Construction of Bone Metastasis-Specific Prognostic Model and Co-expressed Network of Alternative Splicing in Breast Cancer.

Runzhi Huang, Juanru Guo, Penghui Yan, Suna Zhai, Peng Hu, Xiaolong Zhu, Jiayao Zhang, Yannan Qiao, Yu Zhang, Hui Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 7 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

14 authors at 2 institutions in 1 country.

Runzhi HuangDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Juanru GuoTongji University School of Mathematical Sciences, Tongji University, Shanghai, China.
Penghui YanDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Suna ZhaiDepartment of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Peng HuDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaolong ZhuDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiayao ZhangTongji University School of Mathematical Sciences, Tongji University, Shanghai, China.
Yannan QiaoDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yu ZhangDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hui LiuDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ling HuangDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jie ZhangTongji University School of Medicine, Shanghai, China.
Daoke YangDepartment of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zongqiang HuangDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (BRCA) ranks among the top most common female malignancies and was regarded as incurable when combined with bone and distant metastasis. Alternative splicing events (ASEs) together with splicing factors (SFs) were considered responsible for the development and progression of tumors.

methodsDatasets including RNA sequencing and ASEs of BRCA samples were achieved from TCGA and TCGASpliceSeq databases. Then, a survival model was built including 15 overall-survival-associated splicing events (OS-SEs) by Cox regression and Lasso regression. The co-expressed SFs of each bone-and-distant-metastasis-related OS-SE were discovered by Pearson correlation analysis. Additionally, Gene Set Variation Analysis (GSVA) was performed to identify the downstream mechanisms of the key OS-SEs. Finally, the results were validated in different online platforms.

resultsA reliable survival model was established (the area under ROC = 0.856), and CIRBP was found co-expressed with FAM110B (

conclusionAberrant SF, CIRBP, regulated a specific ASE, exon skip (ES) of FAM110B, during which the fatty acid metabolism pathway played an essential part in tumorigenesis and prognosis of BRCA.

Indexed as

alternative splicing eventbone metastasisbreast cancerpathwayprognostic modelsplicing factor

Identifiers

PMID32984314
PMCPMC7477087
OpenAlexW3080594128

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.