Evidence map›Paper›PMID 39363164›Full record

ArticleJournal of translational medicine2024

Single-cell transcriptome analysis reveals immune microenvironment changes and insights into the transition from DCIS to IDC with associated prognostic genes.

Yidi Sun, Zhuoyu Pan, Ziyi Wang, Haofei Wang, Leyi Wei, Feifei Cui, Quan Zou, Zilong Zhang

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. 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
–field-weighted citation impact
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

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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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Yidi SunSchool of Computer Science and Technology, Hainan University, Haikou, 570228, China.
Zhuoyu PanInternational Business School, Hainan University, Haikou, 570228, China.
Ziyi WangSchool of Computer Science and Technology, Hainan University, Haikou, 570228, China.
Haofei WangSchool of Computer Science and Technology, Hainan University, Haikou, 570228, China.
Leyi WeiCentre for Artificial Intelligence driven Drug Discovery, Faculty of Applied Science, Macao Polytechnic University, Macao SAR, China.
Feifei CuiSchool of Computer Science and Technology, Hainan University, Haikou, 570228, China. feifeicui@hainanu.edu.cn.
Quan ZouInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 610054, China. zouquan@nclab.net.
Zilong ZhangSchool of Computer Science and Technology, Hainan University, Haikou, 570228, China. zhangzilong@hainanu.edu.cn.ORCID 0000-0002-4934-1258

Funding

Hainan Provincial Natural Science Foundation of China 324MS009National Natural Science Foundation of China 62102064National Natural Science Foundation of China 62261018National Natural Science Foundation of China 62262015Science and Technology special fund of Hainan Province ZDYF2024GXJS01
6 · The paper itself

Abstract

backgroundDuctal carcinoma in situ (DCIS) of the breast is an early stage of breast cancer, and preventing its progression to invasive ductal carcinoma (IDC) is crucial for the early detection and treatment of breast cancer. Although single-cell transcriptome analysis technology has been widely used in breast cancer research, the biological mechanisms underlying the transition from DCIS to IDC remain poorly understood.

resultsWe identified eight cell types through cell annotation, finding significant differences in T cell proportions between DCIS and IDC. Using this as a basis, we performed pseudotime analysis on T cell subpopulations, revealing that differentially expressed genes primarily regulate immune cell migration and modulation. By intersecting WGCNA results of T cells highly correlated with the subtypes and the differentially expressed genes, we identified six key genes: FGFBP2, GNLY, KLRD1, TYROBP, PRF1, and NKG7. Excluding PRF1, the other five genes were significantly associated with overall survival in breast cancer, highlighting their potential as prognostic biomarkers.

conclusionsWe identified immune cells that may play a role in the progression from DCIS to IDC and uncovered five key genes that can serve as prognostic markers for breast cancer. These findings provide insights into the mechanisms underlying the transition from DCIS to IDC, offering valuable perspectives for future research. Additionally, our results contribute to a better understanding of the biological processes involved in breast cancer progression.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingDisease ProgressionGene Expression ProfilingGene Expression Regulation, NeoplasticSingle-Cell AnalysisTumor MicroenvironmentFemaleHumansPrognosisSingle-Cell Gene Expression AnalysisTranscriptomeDCISIDCSingle-cell transcriptomicsT cells

Identifiers

PMID39363164
PMCPMC11448450

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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.