Evidence map›Paper›PMID 34235197›Full record

ArticleFrontiers in veterinary science2021

LncRNA-42060 Regulates Tamoxifen Sensitivity and Tumor Development via Regulating the miR-204-5p/SOX4 Axis in Canine Mammary Gland Tumor Cells.

Enshuang Xu, Mengxin Hu, Reidong Ge, Danning Tong, Yuying Fan, Xiaoli Ren, Yun Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. The role of epigenetic alterations in canine mammary cancer.The Journal of reproduction and development · 2026
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  11. Epigenetic alterations in canine mammary cancer.Genetics and molecular biology · 2022
    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

7 authors at 2 institutions in 1 country.

Enshuang XuDepartment of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Key Laboratory of Comparative Medicine, Harbin, China.
Mengxin HuDepartment of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Key Laboratory of Comparative Medicine, Harbin, China.
Reidong GeDepartment of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Key Laboratory of Comparative Medicine, Harbin, China.
Danning TongDepartment of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Key Laboratory of Comparative Medicine, Harbin, China.
Yuying FanDepartment of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Key Laboratory of Comparative Medicine, Harbin, China.
Xiaoli RenCollege of Veterinary Medicine, Henan University of Animal Husbandry and Economy, Zhengzhou, China.
Yun LiuDepartment of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Key Laboratory of Comparative Medicine, Harbin, China.
Northeast Agricultural University · CNHenan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tamoxifen is the drug of choice for endocrine therapy of breast cancer. Its clinical use is limited by the development of drug resistance. There is increasing evidence that long non-coding RNAs (lncRNAs) are associated with tumor drug resistance. Therefore, we established two TAM-resistant cell lines, CHMp

Indexed as

canine mammary gland tumorlncRNAmiR-204-5pSox4tamoxifen-resistant

Identifiers

PMID34235197
PMCPMC8255626
OpenAlexW3174321241

What OpenQuestion 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 OpenQuestion graph.