Evidence map›Paper›PMID 37809464›Full record

ArticleHeliyon2023

Role of LncRNA MIR99AHG in breast cancer: Bioinformatic analysis and preliminary verification.

Wei Han, Chun-Tao Shi, Hua Chen, Qin Zhou, Wei Ding, Fang Chen, Zhi-Wei Liang, Ya-Jie Teng, Qi-Xiang Shao, Xiao-Qiang Dong

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors at 3 institutions in 1 country.

Wei HanDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, PR China.
Chun-Tao ShiDepartment of General Surgery, Wuxi Xishan People's Hospital, Wuxi, Jiangsu, 214000, PR China.
Hua ChenDepartment of General Surgery, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR China.
Qin ZhouDepartment of General Surgery, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR China.
Wei DingUltrasonic Department, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR China.
Fang ChenDepartment of Pathology, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR China.
Zhi-Wei LiangCentral Laboratory, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR China.
Ya-Jie TengCentral Laboratory, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR China.
Qi-Xiang ShaoDepartment of Immunology, Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, PR China.
Xiao-Qiang DongDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, PR China.
Jiangsu University · CNSoochow University · CNWuxi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This research was aimed to preliminarily explore the clinical roles and potential molecular mechanisms of MIR99AHG and its significant transcripts in breast cancer (BRCA). Methods: Public databases were utilized to analyze the expression and prognostic roles of MIR99AHG and its transcripts. Relationships between MIR99AHG expression and immune cells infiltration were analyzed in Xiantao platform. In addition, co-expressed genes and interacting proteins of MIR99AHG were predicted. CancerSEA analyzed its relationship with functional states. Next, CNV status, DNA methylation, interacting transcription factors (TFs) and ceRNA network were analyzed to explore its possible mechanisms. Then, RNA ISH and FISH assays were used to detect its expression and location in BRCA tissues and cell lines, respectively. Finally, qRT-PCR was utilized to investigate MIR99AHG expression in cell lines. Results: Compared with the corresponding normal tissues, MIR99AHG expression levels were lower in all BRCA subtypes, and luminal B's was the lowest one. And MIR99AHG expression was negatively related to the tumor stage. In addition, 4 transcripts (ENST00000619222.4, ENST00000418813.6, ENST00000602901.5 and ENST00000453910.5) of MIR99AHG showed significant differences in the expression. Databases also suggested that the high MIR99AHG expression levels indicated good prognosis, especially in patients without lymph node metastasis. Xiantao found that MIR99AHG was positively related to 17 immune cells and negatively linked with 2 immune cells. CancerSEA analysis showed no relationships between MIR99AHG and functional states. From GEPIA and BCIP databases, 19 co-expressed genes were highly related to these four significant transcripts of MIR99AHG. StarBase, RNAct and HDOCK showed that several tumor-associated proteins, including U2AF65, hnRNPC, AEBP2, CHIC1 and so on, might interact with MIR99AHG. Genetically, BRCA had a higher proportion of MIR99AHG CNV loss than CNV gain, and the high level of DNA methylation indicated a good prognosis. Furthermore, 19 TFs were predicted to combine with the promoter of MIR99AHG. Then, we screened out 10 miRNAs potentially interacting with the significant transcripts of MIR99AHG, and five were significantly increased in breast tumors compared to normal tissues, including miR-194-5p, miR-320 b and so on, which could combine 14 mRNAs. Through ISH and FISH assays, we verified that MIR99AHG was down-regulated in BRCA samples and cell lines in comparison to non-tumor tissues and mammary epithelial cell line (MCF10A), and MIR99AHG was located both in cytoplasm and nucleus. qRT-PCR assay also showed the lower expression of MIR99AHG in breast cancer cells than that in MCF10A. Conclusion: These results indicate that MIR99AHG can be a favorable prognostic indicator for BRCA. ENST00000619222.4, ENST00000418813.6, ENST00000602901.5 and ENST00000453910.5 are significant transcripts and their down-regulation may play crucial roles in the progression of BRCA.

Indexed as

BRCAceRNAMIR99AHGMolecular mechanismPrognosisTranscription factor

Identifiers

PMID37809464
PMCPMC10559167
OpenAlexW4386410009

What OpenQuestion 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 OpenQuestion graph.