Evidence map›Paper›PMID 36941464›Full record

ArticleGenes & genomics2023

LncRNA PVT1 influences breast cancer cells glycolysis through sponging miR-145-5p.

Huan Qu, Xingxing Li, Fei Chen, Min Zhang, Xun Lu, Yun Gu, Mingming Lv, Cheng Lu

Open access · hybridAbstract read
In one paragraph

Article in Genes & genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Huan QuDepartment of Breast, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Xingxing LiDepartment of Breast, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Fei ChenDepartment of Breast, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Min ZhangDepartment of Breast, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China.
Xun LuSchool of Public Health, Yale University, New Haven, CT, 06520, USA.
Yun GuDepartment of Pathology, Nanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, 210004, China.
Mingming LvDepartment of Breast, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China. jinanmingming@126.com.
Cheng LuDepartment of Breast, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123rd Tianfei Street, Mochou Road, Nanjing, 210004, China. lucheng_njmu@163.com.
Nanjing Maternity and Child Health Care Hospital · CNNanjing Medical University · CNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-non-coding RNA PVT1 (lncRNA PVT1) can be used as an oncogenic regulatory non-coding RNA (ncRNA) for many cancers. However, its function and mechanism in breast cancer (BRCA) are still not clearly elucidated.

objectiveWe attempt to explain the mechanism of PVT1's role in breast cancer from different perspectives.

methodsWe analyzed the expression of PVT1 and its correlation with the breast cancer related clinical data in the The Cancer Genome Atlas (TCGA) database. We used PVT1 overexpression and knockdown lentivirus to infect breast cancer MDA-MB-231 cell line for cell function verification, in vitro using CCK-8 to measure proliferation, flow cytometry to measure apoptosis, transwell test to measure invasion and migration ability, detecting cell extracellular acidification rate (ECAR) to assess glycolysis metabolism and explore the biological functions of PVT1 in breast cancer cells. Transcriptome sequencing was used to analyze the changes of related genes in cells after overexpression of PVT1. In vivo we used a xenograft model to study the effect of PVT1 on breast cancer.

resultsPVT1 was up-regulated in breast cancer tissues and was positively correlated with the clinical stage of breast cancer patients. Overexpression of PVT1 in vitro promoted cell proliferation, migration and invasion, and promoted tumor growth in vivo. Knockdown of PVT1 led to the opposite biological consequence. Further bioinformatics analysis showed that PVT1 changes the glycolysis metabolism of tumors through regulation of glycolysis-related genes. In addition, the expression of miR-145-5p is negatively correlated with PVT1. We consider the possibility of PVT1 promoting cell proliferation and metastasis by regulating the aerobic glucose metabolism in breast cancer cells through sponging the miR-145-5p.

conclusionOur results reveal a potential pathway for competing endogenous RNA to regulate breast cancer glucose metabolism. PVT1 regulates glycolysis related genes expression by competitively binding to endogenous miR-145-5p in breast cancer cells to change the metabolic phenotype. This may Provide new ideas for precise molecular therapy targets for breast cancer.

Indexed as

Breast NeoplasmsMicroRNAsRNA, Long NoncodingCell Line, TumorFemaleGlucoseGlycolysisHumansGlucoseMicroRNAsMIRN145 microRNA, humanRNA, Long NoncodingBreast cancerGlycolysisLncRNA PVT1miR-145-5p

Identifiers

PMID36941464
PMCPMC10113361
OpenAlexW4327909963

What OpenQuestion holds

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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.