Evidence map›Paper›PMID 34226298›Full record

ArticleAging2021

Bioinformatics analysis for the identification of key genes and long non-coding RNAs related to bone metastasis in breast cancer.

Xu Teng, Tianshu Yang, Wei Huang, Weishi Li, Lin Zhou, Zihang Wang, Yajuan Feng, Jingyao Zhang, Xin Yin, Pei Wang and 4 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Identification of Recurrence-Related mRNAs and Noncoding RNAs in Hepatocellular Carcinoma Following Liver Transplantation.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    Article
  3. Review
  4. Article
  5. Article
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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 5 institutions in 1 country.

Xu TengBeijing Key Laboratory for Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, P.R. China.
Tianshu YangBeijing Key Laboratory for Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, P.R. China.
Wei HuangBeijing Key Laboratory for Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, P.R. China.
Weishi LiDepartment of Orthopaedics, Peking University Third Hospital, Beijing 100191, P.R. China.
Lin ZhouSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, Anhui, P.R. China.
Zihang WangSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, Anhui, P.R. China.
Yajuan FengSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, Anhui, P.R. China.
Jingyao ZhangState Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China.
Xin YinBeijing Key Laboratory for Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, P.R. China.
Pei WangBeijing Key Laboratory for Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, P.R. China.
Gen LiBeijing Key Laboratory for Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, P.R. China.
Hefeng YuBeijing Key Laboratory for Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, P.R. China.
Zhongqiang ChenDepartment of Orthopaedics, Peking University Third Hospital, Beijing 100191, P.R. China.
Dongwei FanDepartment of Orthopaedics, Peking University Third Hospital, Beijing 100191, P.R. China.
Capital Medical University · CNUniversity of Science and Technology of China · CNPeking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular mechanism of bone metastasis in breast cancer is largely unknown. Herein, we aimed to identify the key genes and long non-coding RNAs (lncRNAs) related to the bone metastasis of breast cancer using a bioinformatics approach. We screened differentially expressed genes and lncRNAs between normal breast and breast cancer bone metastasis samples using the GSE66206 dataset from the Gene Expression Omnibus. We also constructed a differentially expressed lncRNA-mRNA interaction network and analyzed the node degrees to identify the driving genes. After finding potential pathogenic modules of breast cancer bone metastasis, we identified breast cancer bone metastasis-related modules and functional enrichment analysis of the genes and lncRNAs in the modules. Based on the above analysis, we constructed a differentially expressed lncRNA-mRNA network related to bone metastasis in breast cancer and identified core driver genes, including

Indexed as

Computational BiologyBone DevelopmentBone NeoplasmsBone RemodelingBreast NeoplasmsDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenes, NeoplasmHumansMembrane ProteinsProto-Oncogene ProteinsRNA, Long NoncodingBNIP3 protein, humanMembrane ProteinsProto-Oncogene ProteinsRNA, Long Noncodingbone metastasisbreast cancerdisease-causing gene moduleslncRNA-mRNA network

Identifiers

PMID34226298
PMCPMC8312419
OpenAlexW3180746016

What Socratic 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 Socratic graph.