Evidence map›Paper›PMID 30888555›Full record

ArticleMolecular biology reports2019

Identification of key genes relevant to the prognosis of ER-positive and ER-negative breast cancer based on a prognostic prediction system.

Bin Xiao, Jianfeng Hang, Ting Lei, Yongyin He, Zhenzhan Kuang, Li Wang, Lidan Chen, Jia He, Weiyun Zhang, Yang Liao and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Pharmaceuticals (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Exosome-derived ANXA9 functions as an oncogene in breast cancer.The journal of pathology. Clinical research · 2023
    Article
  9. Review
  10. Review
  11. Review
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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

12 authors.

Bin XiaoDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China.ORCID https://orcid.org/0000-0002-8822-2542
Jianfeng HangDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China.ORCID https://orcid.org/0000-0003-1375-5771
Ting LeiDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China.ORCID https://orcid.org/0000-0001-7819-8780
Yongyin HeDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China.ORCID https://orcid.org/0000-0002-4775-6740
Zhenzhan KuangDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China.ORCID https://orcid.org/0000-0002-3385-2643
Li WangDepartment of Medical Research, General Hospital of Southern Theatre Command of PLA, Guangzhou, Guangdong Province, China.ORCID https://orcid.org/0000-0001-8321-102X
Lidan ChenDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China.ORCID https://orcid.org/0000-0003-4974-7642
Jia HeDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China.ORCID https://orcid.org/0000-0003-4261-9939
Weiyun ZhangDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China.ORCID https://orcid.org/0000-0001-8075-9356
Yang LiaoDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China.ORCID https://orcid.org/0000-0002-8108-348X
Zhaohui SunDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China. zhaohui3@126.com.ORCID https://orcid.org/0000-0001-9795-3104
Linhai LiDepartment of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, No. 111, Liuhua Road, Yuexiu district, Guangzhou, 510010, Guangdong Province, China. xyuf9002@smu.edu.cn.ORCID https://orcid.org/0000-0002-5924-905X

Funding

National Natural Science Foundation of China 81402409Science and Technology Program of Guangzhou, China 201804010186The Military logistics Research Project CWH17C017
6 · The paper itself

Abstract

Few prognostic indicators with differential expression have been reported among the differing ER statuses. We aimed to screen important breast cancer prognostic genes related to ER status and to construct an efficient prognostic prediction system. mRNA expression profiles were downloaded from TCGA and GSE70947 dataset. Two hundred seventy-one overlapping differentially expressed genes (DEGs) between the ER- and ER+ breast cancer samples were identified. Among the 271 DEGs, 109 prognostically relevant mRNAs were screened. mRNAs such as RASEF, ITM2C, CPEB2, ESR1, ANXA9, and VASN correlated strongly with breast cancer prognosis. Three modules, which contained 28, 9 and 8 enriched DEGs, were obtained from the network, and the DEGs in these modules were enriched in response to hormone stimulus, epithelial cell development, and host cell entry. Using bayes discriminant analysis, 48 signature genes were screened. We constructed a prognostic prediction system using the 48 signature genes and validated this system as relatively accurate and reliable. The DEGs might be closely associated with the prognosis in patients with breast cancer. We validated the effectiveness of our prognostic prediction system by GEO database. Therefore, this system might be a useful tool for preliminary screening and validation of potential prognosis indicators for ER+ breast cancer derived from mechanistic research.

Indexed as

Bayes TheoremBiomarkers, TumorBreast NeoplasmsComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimatePrognosisReceptors, EstrogenRNA-Binding ProteinsRNA, MessengerTranscriptomeBiomarkers, TumorReceptors, EstrogenRNA-Binding ProteinsRNA, MessengerBreast cancerDifferentially expressed genesEstrogen receptorPrognosisPrognostic prediction system

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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.