Evidence map›Paper›PMID 35280383›Full record

ArticleAnnals of translational medicine2022

Meng Yang, Ran Xiao, Xinru Wang, Youyi Xiong, Zhenfeng Duan, Duolu Li, Quancheng Kan

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 30 citations in OpenAlex.

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  9. Fecal miRNA Profiling of Yorkshire Terrier Enteropathy.International journal of molecular sciences · 2025
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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

7 authors at 3 institutions in 2 countries.

Meng Yang *Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ran Xiao *Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xinru WangDepartment of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Youyi XiongDepartment of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhenfeng DuanDepartment of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Duolu LiDepartment of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Quancheng KanDepartment of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNSarcoma Oncology Center · USZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Challenges in medical care posed by rapid tumor progression, individualized responses to therapy, and the heterogeneous characteristics of breast cancer (BRCA) highlight the urgent need for new treatment strategies, as well as therapeutic and prognostic markers. Accumulating evidence has revealed that microRNAs broadly participate in carcinogenesis, but our understanding of the role of Methods: The prognosis of miR-93-5p, programmed cell death-ligand 1 (PD-L1) and CCND1 were analyzed by datasets. Freshly excised breast cancer tissues (N=33) and adjacent noncancerous tissues (N=18) were collected to detect the expression of CCND1 and PD-L1 by immunohistochemistry (IHC). Quantitative real-time PCR (qRT-PCR) and Western blot were used to test the expression of miR-93-5p, PD-L1 and CCND1 after transfected mimics or inhibitors. Dual-luciferase reporter assay indicates the direct targeting between miR-93-5p and PD-L1. Results: Bioinformatics analysis demonstrated that Conclusions: Taken together,

Indexed as

breast cancer (BRCA)CCND1immunoregulationmiR-93-5pprogrammed cell death-ligand 1 (PD-L1)

Identifiers

PMID35280383
PMCPMC8908185
OpenAlexW4214595364

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.