Evidence map›Paper›PMID 33234738›Full record

ArticleAging2020

ADRB1 was identified as a potential biomarker for breast cancer by the co-analysis of tumor mutational burden and immune infiltration.

Jia Wang, Xiaolu Zhang, Jie Li, Xiaoran Ma, Fubin Feng, Lijuan Liu, Jibiao Wu, Changgang Sun

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

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  18. Translational cancer research · 2021
    Article
  19. Multiomics analysis of tumor mutational burden across cancer types.Computational and structural biotechnology journal · 2021
    Article
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.

Jia WangCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, P. R. China.
Xiaolu ZhangCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, P. R. China.
Jie LiCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, P. R. China.
Xiaoran MaCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, P. R. China.
Fubin FengDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang 261000, Shandong, P. R. China.
Lijuan LiuDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang 261000, Shandong, P. R. China.
Jibiao WuCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, Shandong, P. R. China.
Changgang SunDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang 261000, Shandong, P. R. China.
Shandong University of Traditional Chinese Medicine · CNWeifang Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BRCA) has traditionally been considered as having poor immunogenicity and is characterized by relatively low tumor mutational burden (TMB). Improving immunogenicity may improve the response to clinical immunotherapy of BRCA. However, the relationship between TMB, immune infiltration, and prognosis in BRCA remains unclear. We aimed to explore their interrelations and potential biomarkers. In this study, based on somatic mutation data of BRCA from The Cancer Genome Atlas (TCGA), patients were categorized into high and low TMB groups utilizing the TMB values. CIBERSOFT algorithm indicated significant infiltration of activated partial immune cells in high TMB group. Besides, ADRB1 had been identified as a prognosis-related immune gene in the mutant genes by the combination of the ImmPort database and the univariate Cox analysis. ADRB1 mutation was associated with lower TMB and manifested a satisfactory clinical prognosis. Various database applications (Gene Set Enrichment Analysis, Tumor IMmune Estimation Resource, Connectivity Map, KnockTF) supported the selection of treatment strategies targeting ADRB1. In conclusion, TMB was not an independent prognostic factor for BRCA and high TMB was more likely to activate a partial immune response. ADRB1 was identified as a potential biomarker and may provide new insights for co-therapy of BRCA.

Indexed as

Biomarkers, TumorBreast NeoplasmsDatabases, GeneticFemaleHumansImmunotherapyLymphocytes, Tumor-InfiltratingMutationPrognosisProportional Hazards ModelsReceptors, Adrenergic, beta-1ADRB1 protein, humanBiomarkers, TumorReceptors, Adrenergic, beta-1ADRB1breast cancerimmune infiltrationprognosistumor mutational burden

Identifiers

PMID33234738
PMCPMC7835009
OpenAlexW3109891391

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.