Evidence map›Paper›PMID 34094912›Full record

ArticleFrontiers in oncology2021

Variation of Long Non-Coding RNA And mRNA Profiles in Breast Cancer Cells With Influences of Adipocytes.

Xin-Hui Cao, Kai Yang, Ming-Xing Liang, Pei Ma, Di Xu, Yin-Jiao Fei, Wei Zhang, Xiu Chen, Jin-Hai Tang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Xin-Hui CaoSchool of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
Kai YangSchool of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
Ming-Xing LiangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Pei MaDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Di XuDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yin-Jiao FeiDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wei ZhangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiu ChenDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jin-Hai TangSchool of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
Nanjing Medical University · CNJiangsu Province Hospital · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is well known that obesity is one of the risks for incurrence and development in breast cancer patients. Long non-coding RNAs (lncRNAs) are reported to participate in the composition of tumor microenvironment and to regulate breast cancer cell metabolic activities. However, there was rare study focused on the lncRNAs in breast cancer with the influences of adipocytes. The study aimed to investigate lncRNAs expression profiles and discover potential biomarkers to predict the incidence and progression of adipocyte-associated-breast cancer.

methodsWe co-cultured adipocytes with breast cancer cells and profiled the expression of lncRNAs as well as mRNAs by using the RNA-sequencing method. Wound Healing, Migration assays and Invasion assays were applied to verify the invasion and metastasis of cancer cells.

resultsMDA-MB-231/Hpa-V and SK-BR-3/Hpa-V cells showed elevated migration and invasiveness compared to the control group. A sum of 371 mRNAs (181 upregulated and 190 downregulated) and 850 lncRNAs(414 upregulated and 436 downregulated) were differentially expressed in MDA-MB-231/Hpa-V comparing to MDA-MB-231(P < 0.05; |log2 (fold change)|>1.2). GO enrichment, KEGG pathway and interaction networks demonstrated that differentially expressed lncRNAs were involved in functional categories, such as material metabolism, which might lead to the progression of breast cancer.

conclusionOur study detected a lncRNA profile in breast cancer cells affecting by adipocytes and provided a better understanding of the tumor microenvironment. LncRNAs may be helpful to predict the therapeutic responses and prognosis of obese breast cancer patients.

Indexed as

adipocytesbreast cancerlong-non-coding RNAmRNAtumor microenvironment

Identifiers

PMID34094912
PMCPMC8176020
OpenAlexW3164652070

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Registered trials

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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.