Evidence map›Paper›PMID 38062748›Full record

ArticleCancer biology & medicine2023

Large-scale loss-of-function perturbations reveal a comprehensive epigenetic regulatory network in breast cancer.

Yumei Wang, Haiyan Wang, Wei Shao, Yuhui Chen, Yu Gui, Chao Hu, Xiaohong Yi, Lijun Huang, Shasha Li, Dong Wang

Abstract read
In one paragraph

Article in Cancer biology & medicine, 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
–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

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.

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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

10 authors.

Yumei Wang *School of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Haiyan Wang *Department of Pathology, School of Medicine, Qinghai University, Xining 810001, China.
Wei ShaoOmics Biosciences Inc, Beijing 100871, China.
Yuhui ChenSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yu GuiLaboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu 610041, China.
Chao HuState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Xiaohong YiSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Lijun HuangSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Shasha LiDepartment of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology & Guangzhou Municipal Key Laboratory of Mechanistic and Translational Obesity Research, Medical Center for Comprehensive Weight Control, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.ORCID 0000-0003-1835-8927
Dong WangSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID 0000-0001-7877-7440

Funding

Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine ZYYCXTD-D-202209National Natural Science Foundation of China 82172723Natural Science Foundation of Sichuan 2022NSFSC1289Natural Science Foundation of Sichuan 2023NSFSC1828Research Funding of Department of Science and Technology of Qinghai Province 2023-ZJ-729"Xinglin Scholar" Scientific Research Promotion Plan of Chengdu University of Transitional Chinese Medicine BSH2021003
6 · The paper itself

Abstract

objectiveEpigenetic abnormalities have a critical role in breast cancer by regulating gene expression; however, the intricate interrelationships and key roles of approximately 400 epigenetic regulators in breast cancer remain elusive. It is important to decipher the comprehensive epigenetic regulatory network in breast cancer cells to identify master epigenetic regulators and potential therapeutic targets.

methodsWe employed high-throughput sequencing-based high-throughput screening (HTS

resultsUtilizing these gene expression signatures, we classified the epigenetic regulators into five distinct clusters, each characterized by specific functions. We discovered functional similarities between BAZ2B and SETMAR, as well as CLOCK and CBX3. Moreover, we observed that CLOCK functions in a manner opposite to that of HDAC8 in downstream gene regulation. Notably, we constructed an epigenetic regulatory network based on the gene expression signatures, which revealed 8 distinct modules and identified 10 master epigenetic regulators in breast cancer.

conclusionsOur work deciphered the extensive regulation among hundreds of epigenetic regulators. The identification of 10 master epigenetic regulators offers promising therapeutic targets for breast cancer treatment.

Indexed as

Breast NeoplasmsTranscription Factors, GeneralBromodomain Containing ProteinsChromosomal Proteins, Non-HistoneComputational BiologyEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHistone DeacetylasesHistone-Lysine N-MethyltransferaseHumansRepressor ProteinsBAZ2B protein, humanBromodomain Containing ProteinsCBX3 protein, humanChromosomal Proteins, Non-HistoneHDAC8 protein, humanHistone DeacetylasesHistone-Lysine N-MethyltransferaseRepressor ProteinsSETMAR protein, humanTranscription Factors, Generalbreast cancerEpigenetic regulatorsHTSregulatory network

Identifiers

PMID38062748
PMCPMC10875281

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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.