Abstract
Breast cancer is a common cancer worldwide. Hyperplastic enlarged lobular units (HELUs) are common changes in the breasts of adult women. HELUs may be closely related to the occurrence and development of breast cancer. In this study, genes that are commonly contained in the expression profiles of the genomes of the two diseases and have significant differences in expression before and after the respective diseases were identified. Various enrichment analyses were performed according to the expression levels of these differentially expressed genes. Furthermore, LASSO regression analysis was performed on the differentially expressed genes to identify genes significantly related to survival. The optimal risk model for the survival of patients with breast cancer was established, and the accuracy of the model was verified on multiple data sets. A gene combination containing 17 genes was ultimately determined to be an independent prognostic factor. Kaplan‒Meier survival analysis demonstrated the good performance of this risk model. The study found that Shared Gene Signatures and Biological Mechanisms in Hyperplastic Enlarged Lobular Units and Breast Cancer, screened 17 important Shared Gene Signatures of Hyperplastic Enlarged Lobular Units which are closely related to the survival of breast cancer patients through machine learning, and established a prognosis model with high-accuracy, which is worthy of further exploration.
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10528-023-10588-2/MediaObjects/10528_2023_10588_Fig1_HTML.png)
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10528-023-10588-2/MediaObjects/10528_2023_10588_Fig2_HTML.png)
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10528-023-10588-2/MediaObjects/10528_2023_10588_Fig3_HTML.png)
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10528-023-10588-2/MediaObjects/10528_2023_10588_Fig4_HTML.png)
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10528-023-10588-2/MediaObjects/10528_2023_10588_Fig5_HTML.png)
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10528-023-10588-2/MediaObjects/10528_2023_10588_Fig6_HTML.png)
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10528-023-10588-2/MediaObjects/10528_2023_10588_Fig7_HTML.png)
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10528-023-10588-2/MediaObjects/10528_2023_10588_Fig8_HTML.png)
![](https://cdn.statically.io/img/media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10528-023-10588-2/MediaObjects/10528_2023_10588_Fig9_HTML.png)
Similar content being viewed by others
Data Availability
The datasets analysed during the current study are available in The Cancer Genome Atlas (TCGA https://portal.gdc.cancer.gov/) and Gene Expression Omnibus (GEO https://portal.gdc.cancer.gov/) repository.
References
Beall GN, Vanarsdel PP Jr (1961) Histamine metabolism. Calif Med 95(4):237–238
Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, Jacobsen A, Byrne CJ, Heuer ML, Larsson E et al (2012) The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov 2(5):401–404
Colaprico A, Silva TC, Olsen C, Garofano L, Cava C, Garolini D, Sabedot TS, Malta TM, Pagnotta SM, Castiglioni I et al (2016) TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data. Nucleic Acids Res 44(8):e71
Doyle AD, Nazari SS, Yamada KM (2022) Cell-extracellular matrix dynamics. Phys Biol, 19(2).
Friedman JH, Hastie T, Tibshirani R (2010) Regularization paths for generalized linear models via coordinate descent. J Stat Softw 33(1):1–22
Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, Sun Y, Jacobsen A, Sinha R, Larsson E et al: Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Science signaling 2013, 6(269):pl1.
Hayes JD, Dinkova-Kostova AT, Tew KD (2020) Oxidative Stress in Cancer. Cancer Cell 38(2):167–197
Jakovcevic D, Dedic-Plavetic N, Vrbanec D, Jakovcevic A, Jakic-Razumovic J (2015) Breast cancer molecular subtypes and oxidative DNA Damage. Appl Immunohistochem Mol Morphol 23(10):696–703
Janiszewska M, Primi MC, Izard T (2020) Cell adhesion in cancer: beyond the migration of single cells. J Biol Chem 295(8):2495–2505
Jiang X, Wang J, Deng X, Xiong F, Zhang S, Gong Z, Li X, Cao K, Deng H, He Y et al (2020) The role of microenvironment in tumor angiogenesis. J Exp Clin Cancer Res 39(1):204
Kader T, Hill P, Zethoven M, Goode DL, Elder K, Thio N, Doyle M, Semple T, Sufyan W, Byrne DJJTJop: Atypical ductal hyperplasia is a multipotent precursor of breast carcinoma. 2019, 248(3):326-338
LaMarca HL, Rosen JMJBCR (2007) Estrogen regulation of mammary gland development and breast cancer: amphiregulin takes center stage. 9:1-3
Lee S, Mohsin SK, Mao S, Hilsenbeck SG, Medina D, Allred DC (2005) Hormones, receptors, and growth in hyperplastic enlarged lobular units: early potential precursors of breast cancer. Breast Cancer Res 8(1):R6
Lee S, Medina D, Tsimelzon A, Mohsin SK, Mao S, Wu Y, Allred DC (2007) Alterations of gene expression in the development of early hyperplastic precursors of breast cancer. Am J Pathol 171(1):252–262
Liotta LA, Rao CN, Wewer UM (1986) Biochemical interactions of tumor cells with the basement membrane. Annu Rev Biochem 55:1037–1057
Maintz L, Schwarzer V, Bieber T, van der Ven K, Novak N (2008) Effects of histamine and diamine oxidase activities on pregnancy: a critical review. Hum Reprod Update 14(5):485–495
Phipson B, Lee S, Majewski IJ, Alexander WS, Smyth GK (2016) Robust hyperparameter estimation protects against hypervariable genes and improves power to detect differential expression. Ann Appl Stat 10(2):946–963
Pinto MC, Kihara AH, Goulart VA, Tonelli FM, Gomes KN, Ulrich H, Resende RR (2015) Calcium signaling and cell proliferation. Cell Signal 27(11):2139–2149
Robinson MD, McCarthy DJ, Smyth GK (2010) edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics (oxford, England) 26(1):139–140
Sahoo BM, Banik BK, Borah P, Jain A (2022) Reactive oxygen species (ROS): key components in cancer therapies. Anticancer Agents Med Chem 22(2):215–222
Sanati S, Allred DC: The progression of pre-invasive to invasive cancer. In: Pre-Invasive Disease: Pathogenesis and Clinical Management. edn.: Springer; 2011: 65–76.
Sasano H, Suzuki TJB (2006) pharmacotherapy: chemoprevention of breast cancer among Asian women—its perspective and problems. 60(6):266–268.
Sing T, Sander O, Beerenwinkel N, Lengauer T (2005) ROCR: visualizing classifier performance in R. Bioinformatics (oxford, England) 21(20):3940–3941
Szklarczyk D, Gable AL, Nastou KC, Lyon D, Kirsch R, Pyysalo S, Doncheva NT, Legeay M, Fang T, Bork P et al (2021) The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets. Nucleic Acids Res 49(D1):D605-d612
Tabl AA, Alkhateeb A, Pham HQ, Rueda L, ElMaraghy W, Ngom A (2018) A Novel approach for identifying relevant genes for breast cancer survivability on specific therapies. Evol Bioinform Online 14:1176934318790266
Tripathi A, King C, De la Morenas A, Perry VK, Burke B, Antoine GA, Hirsch EF, Kavanah M, Mendez J (2008) Stone MJIjoc: Gene expression abnormalities in histologically normal breast epithelium of breast cancer patients. 122(7):1557-1566
Yu G, Wang LG, Han Y, He QY (2012) clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS 16(5):284–287
Zhou L, Rueda M, Alkhateeb A (2022) Classification of breast cancer nottingham prognostic index using high-dimensional embedding and residual neural network. Cancers (Basel), 14(4).
Acknowledgements
Not applicable.
Funding
This research was supported by the Shanghai Health Committee (202240173), partly funded by Shanghai University of Health & Medicine Sciences (SSF-2022–24-29, SSF-2022–24-30), the Natural Science Foundation of Jiangsu Province (BK20210949) and Chongming Science and Technology Committee (CKY2021-38).
Author information
Authors and Affiliations
Contributions
KYT performed the computational experiments, analyzed results and write the manuscript. ZHY, RHY and WLY helped to write the manuscript. CY, FJ, SYJ and SYW conceived the project, advised on the analysis, and supervised the research and wrote the manuscript. All authors read and approved the final manuscript.
Corresponding authors
Ethics declarations
Conflict of interest
The authors declare that they have no competing interests.
Ethics Approval and Consent to Participate
Not applicable.
Consent for Publication
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Tong, K., Yang, Z., Jin, S. et al. Identification of the Shared Gene Signatures and Biological Mechanisms in Hyperplastic Enlarged Lobular Units and Breast Cancer. Biochem Genet (2023). https://doi.org/10.1007/s10528-023-10588-2
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10528-023-10588-2