Evidence map›Paper›PMID 33061457›Full record

ArticleOncoTargets and therapy2020

MiRNA505/NET1 Axis Acts as a CD8

Pengyuan Zhu, Zhenchuan Liu, Haitao Huang, Chongjun Zhong, Yongxin Zhou

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
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

5 authors at 2 institutions in 1 country.

Pengyuan ZhuDepartment of Thoracic and Cardiovascular Surgery, The Second Affiliated Hospital of Nantong University, School of Medicine, Nantong University, Nantong, Jiangsu 226001, People's Republic of China.ORCID 0000-0002-1070-1535
Zhenchuan LiuDepartment of Thoracic and Cardiovascular Surgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, People's Republic of China.
Haitao HuangDepartment of Thoracic and Cardiovascular Surgery, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, People's Republic of China.
Chongjun ZhongDepartment of Thoracic and Cardiovascular Surgery, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, People's Republic of China.
Yongxin ZhouDepartment of Thoracic and Cardiovascular Surgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, People's Republic of China.
Nantong University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLung adenocarcinoma (LUAD), which is the most important and common subtype of non-small cell lung cancer (NSCLC), is highly heterogeneous with a poor prognosis and poses great challenges to health worldwide. MicroRNAs (miRNAs) are regulators of gene expression with recognized roles in physiology and diseases, such as cancers, but little is known about their functional relevance to CD8

methodsBioinformatic analysis was used to analyze TCGA data. RT-PCT, Western blot, luciferase assay and immunohistochemistry were used to detect the expression levels and bindings of genes and miRNA. ELISA and cytotoxic assay were used to evaluate CD8

resultsIn this study, bioinformatic analysis unveiled the miR-505-3p/NET1 pair as a CD8 DISCUSSION: Our study may provide novel insights into LUAD progression related to the TME mechanism and new possibilities for improving adoptive immunotherapy.

Indexed as

CD8+ T-TILslung adenocarcinomamiR-505-3pNET1TME

Identifiers

PMID33061457
PMCPMC7534871
OpenAlexW3091700535

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.