In silico analysis of differentially expressed-aberrantly methylated genes in breast cancer for prognostic and therapeutic targets.


Journal

Clinical and experimental medicine
ISSN: 1591-9528
Titre abrégé: Clin Exp Med
Pays: Italy
ID NLM: 100973405

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 30 12 2022
accepted: 28 03 2023
medline: 2 11 2023
pubmed: 8 4 2023
entrez: 7 4 2023
Statut: ppublish

Résumé

Breast cancer (BC) is the leading cause of death among women across the globe. Abnormal gene expression plays a crucial role in tumour progression, carcinogenesis and metastasis of BC. The alteration of gene expression may be through aberrant gene methylation. In the present study, differentially expressed genes which may be regulated by DNA methylation and their pathways associated with BC have been identified. Expression microarray datasets GSE10780, GSE10797, GSE21422, GSE42568, GSE61304, GSE61724 and one DNA methylation profile dataset GSE20713 were downloaded from Gene Expression Omnibus database (GEO). Differentially expressed-aberrantly methylated genes were identified using online Venn diagram tool. Based on fold change expression of differentially expressed-aberrantly methylated genes were chosen through heat map. Protein-protein interaction (PPI) network of the hub genes was constructed by Search Tool for the Retrieval of Interacting Genes (STRING). Gene expression and DNA methylation level of the hub genes were validated through UALCAN. Overall survival analysis of the hub genes was analysed through Kaplan-Meier plotter database for BC. A total of 72 upregulated-hypomethylated genes and 92 downregulated-hypermethylated genes were obtained from GSE10780, GSE10797, GSE21422, GSE42568, GSE61304, GSE61724, and GSE20713 datasets by GEO2R and Venn diagram tool. PPI network of the upregulated-hypomethylated hub genes (MRGBP, MANF, ARF3, HIST1H3D, GSK3B, HJURP, GPSM2, MATN3, KDELR2, CEP55, GSPT1, COL11A1, and COL1A1) and downregulated-hypermethylated hub genes were constructed (APOD, DMD, RBPMS, NR3C2, HOXA9, AMKY2, KCTD9, and EDN1). All the differentially expressed hub genes expression was validated in UALCAN database. 4 in 13 upregulated-hypomethylated and 5 in 8 downregulated-hypermethylated hub genes to be significantly hypomethylated or hypermethylated in BC were confirmed using UALCAN database (p < 0.05). MANF, HIST1H3D, HJURP, GSK3B, GPSM2, MATN3, KDELR2, CEP55, COL1A1, APOD, RBPMS, NR3C2, HOXA9, ANKMY2, and EDN1 were significantly (p < 0.05) associated with poor overall survival (OS). The identified aberrantly methylated-differentially expressed genes and their related pathways and function in BC can serve as novel diagnostic and prognostic biomarkers and therapeutic targets.Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author 4 Given name: [Jeewan Ram] Last name [Vishnoi]. Also, kindly confirm the details in the metadata are correct.It is correct.

Identifiants

pubmed: 37029310
doi: 10.1007/s10238-023-01060-x
pii: 10.1007/s10238-023-01060-x
doi:

Substances chimiques

KDELR2 protein, human 147097-18-5
Vesicular Transport Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3847-3866

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Références

Waks AG, Winer EP. Breast cancer treatment: a review. JAMA. 2019;321:288. https://doi.org/10.1001/jama.2018.19323 .
doi: 10.1001/jama.2018.19323 pubmed: 30667505
Shi H, Zhang L, Qu Y, Hou L, Wang L, Zheng M. Prognostic genes of breast cancer revealed by gene co-expression network analysis. Oncol Lett. 2017;14:4535–42. https://doi.org/10.3892/ol.2017.6779 .
doi: 10.3892/ol.2017.6779 pubmed: 29085450 pmcid: 5649579
Rouzier R, Perou CM, Symmans WF, et al. Breast cancer molecular subtypes respond differently to preoperative chemotherapy. Clin Cancer Res. 2005;11:5678–85. https://doi.org/10.1158/1078-0432.CCR-04-2421 .
doi: 10.1158/1078-0432.CCR-04-2421 pubmed: 16115903
Yang TJ, Ho AY. Radiation therapy in the management of breast cancer. Surg Clin N Am. 2013;93:455–71. https://doi.org/10.1016/j.suc.2013.01.002 .
doi: 10.1016/j.suc.2013.01.002 pubmed: 23464696
Lumachi F, Luisetto G, Basso SMM, Basso U, Brunello A, Camozzi V. Endocrine therapy of breast cancer. Curr Med Chem. 2011;18:513–22. https://doi.org/10.2174/092986711794480177 .
doi: 10.2174/092986711794480177 pubmed: 21143113
Łukasiewicz S, Czeczelewski M, Forma A, Baj J, Sitarz R, Stanisławek A. Breast cancer—epidemiology, risk factors, classification, prognostic markers, and current treatment strategies—an updated review. Cancers. 2021;13:4287. https://doi.org/10.3390/cancers13174287 .
doi: 10.3390/cancers13174287 pubmed: 34503097 pmcid: 8428369
Bouchard H, Viskov C, Garcia-Echeverria C. Antibody–drug conjugates—a new wave of cancer drugs. Bioorg Med Chem Lett. 2014;24:5357–63. https://doi.org/10.1016/j.bmcl.2014.10.021 .
doi: 10.1016/j.bmcl.2014.10.021 pubmed: 25455482
Rizzo A, Cusmai A, Acquafredda S, Rinaldi L, Palmiotti G. Ladiratuzumab vedotin for metastatic triple negative cancer: preliminary results, key challenges, and clinical potential. Expert Opin Investig Drugs. 2022;31:495–8. https://doi.org/10.1080/13543784.2022.2042252 .
doi: 10.1080/13543784.2022.2042252 pubmed: 35171746
Rizzo A, Ricci AD, Lanotte L, et al. Immune-based combinations for metastatic triple negative breast cancer in clinical trials: current knowledge and therapeutic prospects. Expert Opin Investig Drugs. 2022;31:557–65. https://doi.org/10.1080/13543784.2022.2009456 .
doi: 10.1080/13543784.2022.2009456 pubmed: 34802383
Rizzo A, Ricci AD. Biomarkers for breast cancer immunotherapy: PD-L1, TILs, and beyond. Expert Opin Investig Drugs. 2022;31:549–55. https://doi.org/10.1080/13543784.2022.2008354 .
doi: 10.1080/13543784.2022.2008354 pubmed: 34793275
Viscardi G, Tralongo AC, Massari F, et al. Comparative assessment of early mortality risk upon immune checkpoint inhibitors alone or in combination with other agents across solid malignancies: a systematic review and meta-analysis. Eur J Cancer. 2022;177:175–85. https://doi.org/10.1016/j.ejca.2022.09.031 .
doi: 10.1016/j.ejca.2022.09.031 pubmed: 36368251
Basse C, Arock M. The increasing roles of epigenetics in breast cancer: implications for pathogenicity, biomarkers, prevention and treatment: epigenetics in breast cancer. Int J Cancer. 2015;137:2785–94. https://doi.org/10.1002/ijc.29347 .
doi: 10.1002/ijc.29347 pubmed: 25410431
Lopez J, Percharde M, Coley HM, Webb A, Crook T. The context and potential of epigenetics in oncology. Br J Cancer. 2009;100:571–7. https://doi.org/10.1038/sj.bjc.6604930 .
doi: 10.1038/sj.bjc.6604930 pubmed: 19223907 pmcid: 2653733
Stefansson OA, Villanueva A, Vidal A, Martí L, Esteller M. BRCA1 epigenetic inactivation predicts sensitivity to platinum-based chemotherapy in breast and ovarian cancer. Epigenetics. 2012;7:1225–9. https://doi.org/10.4161/epi.22561 .
doi: 10.4161/epi.22561 pubmed: 23069641 pmcid: 3499323
Liu X, Peng Y, Wang J. Integrative analysis of DNA methylation and gene expression profiles identified potential breast cancer-specific diagnostic markers. Biosci Rep. 2020;40:BSR20201053. https://doi.org/10.1042/BSR20201053 .
doi: 10.1042/BSR20201053 pubmed: 32412047 pmcid: 7263199
Toth R, Schiffmann H, Hube-Magg C, et al. Random forest-based modelling to detect biomarkers for prostate cancer progression. Clin Epigenet. 2019;11:148. https://doi.org/10.1186/s13148-019-0736-8 .
doi: 10.1186/s13148-019-0736-8
Wu J, Zhang Y, Li M. Identification of methylation markers and differentially expressed genes with prognostic value in breast cancer. J Comput Biol. 2019;26:1394–408. https://doi.org/10.1089/cmb.2019.0179 .
doi: 10.1089/cmb.2019.0179 pubmed: 31290690
Ritchie ME, Phipson B, Wu D, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43:e47–e47. https://doi.org/10.1093/nar/gkv007 .
doi: 10.1093/nar/gkv007 pubmed: 25605792 pmcid: 4402510
Chandrashekar DS, Bashel B, Balasubramanya SAH, et al. UALCAN: a portal for facilitating tumor subgroup gene expression and survival analyses. Neoplasia. 2017;19:649–58. https://doi.org/10.1016/j.neo.2017.05.002 .
doi: 10.1016/j.neo.2017.05.002 pubmed: 28732212 pmcid: 5516091
Györffy B, Lanczky A, Eklund AC, et al. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients. Breast Cancer Res Treat. 2010;123:725–31. https://doi.org/10.1007/s10549-009-0674-9 .
doi: 10.1007/s10549-009-0674-9 pubmed: 20020197
Sjöblom T, Jones S, Wood LD, et al. The consensus coding sequences of human breast and colorectal cancers. Science. 2006;314:268–74. https://doi.org/10.1126/science.1133427 .
doi: 10.1126/science.1133427 pubmed: 16959974
Leary RJ, Lin JC, Cummins J, et al. Integrated analysis of homozygous deletions, focal amplifications, and sequence alterations in breast and colorectal cancers. Proc Natl Acad Sci. 2008;105:16224–9. https://doi.org/10.1073/pnas.0808041105 .
doi: 10.1073/pnas.0808041105 pubmed: 18852474 pmcid: 2571022
Kuang Y, Wang Y, Zhai W, et al. Genome-wide analysis of methylation-driven genes and identification of an eight-gene panel for prognosis prediction in breast cancer. Front Genet. 2020;11:301. https://doi.org/10.3389/fgene.2020.00301 .
doi: 10.3389/fgene.2020.00301 pubmed: 32373154 pmcid: 7186397
Klutstein M, Nejman D, Greenfield R, Cedar H. DNA methylation in cancer and aging. Cancer Res. 2016;76:3446–50. https://doi.org/10.1158/0008-5472.CAN-15-3278 .
doi: 10.1158/0008-5472.CAN-15-3278 pubmed: 27256564
Post AE, Bussink J, Smid M, Sweep FC, Span PN. Downregulation of matrix Gla protein is a biomarker for tamoxifen-resistant and radioresistant breast cancer. Biomark Med. 2019;13:841–50. https://doi.org/10.2217/bmm-2019-0050 .
doi: 10.2217/bmm-2019-0050 pubmed: 31317787
Casey T, Bond J, Tighe S, et al. Molecular signatures suggest a major role for stromal cells in development of invasive breast cancer. Breast Cancer Res Treat. 2009;114:47–62. https://doi.org/10.1007/s10549-008-9982-8 .
doi: 10.1007/s10549-008-9982-8 pubmed: 18373191
Fan Y, He L, Wang Y, et al. CLIP4 shows putative tumor suppressor characteristics in breast cancer: an integrated analysis. Front Mol Biosci. 2021;7:616190. https://doi.org/10.3389/fmolb.2020.616190 .
doi: 10.3389/fmolb.2020.616190 pubmed: 33575272 pmcid: 7870488
Zheng Y, Huang G, Silva TC, et al. A pan-cancer analysis of CpG Island gene regulation reveals extensive plasticity within Polycomb target genes. Nat Commun. 2021;12:2485. https://doi.org/10.1038/s41467-021-22720-0 .
doi: 10.1038/s41467-021-22720-0 pubmed: 33931649 pmcid: 8087678
Wang S, Beeghly-Fadiel A, Cai Q, et al. Gene expression in triple-negative breast cancer in relation to survival. Breast Cancer Res Treat. 2018;171:199–207. https://doi.org/10.1007/s10549-018-4816-9 .
doi: 10.1007/s10549-018-4816-9 pubmed: 29748761 pmcid: 7195858
Brito. eRF3a/GSPT1 12-GGC allele increases the susceptibility for breast cancer development. Oncol Rep. 2009. https://doi.org/10.3892/or_00000387 .
doi: 10.3892/or_00000387 pubmed: 19424636
Louie SM, Grossman EA, Crawford LA, et al. GSTP1 is a driver of triple-negative breast cancer cell metabolism and pathogenicity. Cell Chem Biol. 2016;23:567–78. https://doi.org/10.1016/j.chembiol.2016.03.017 .
doi: 10.1016/j.chembiol.2016.03.017 pubmed: 27185638 pmcid: 4876719
Kim K, Kim Y-J. RhoBTB3 regulates proliferation and invasion of breast cancer cells via Col1A1. Mol Cells. 2021. https://doi.org/10.21203/rs.3.rs-242986/v1 .
doi: 10.21203/rs.3.rs-242986/v1 pubmed: 34963106 pmcid: 8718363
Liu J, Shen J-X, Wu H-T, et al. Collagen 1A1 (COL1A1) promotes metastasis of breast cancer and is a potential therapeutic target. Discov Med. 2018;25:211–23.
pubmed: 29906404
Willis CM, Klüppel M. Chondroitin sulfate-E is a negative regulator of a pro-tumorigenic Wnt/beta-catenin-collagen 1 axis in breast cancer cells. PLoS ONE. 2014;9:e103966. https://doi.org/10.1371/journal.pone.0103966 .
doi: 10.1371/journal.pone.0103966 pubmed: 25090092 pmcid: 4121171
Tan Y, Fan Y. High expression of COL1A1 exaggerates bone metastasis in estrogen receptor-positive (ER+) breast cancer and is potential to serve as a novel therapeutic target. In Review; 2022. https://doi.org/10.21203/rs.3.rs-1614322/v1 .
Sun D, Jin H, Zhang J, Tan X. Integrated whole genome microarray analysis and immunohistochemical assay identifies COL11A1, GJB2 and CTRL as predictive biomarkers for pancreatic cancer. Cancer Cell Int. 2018;18:174. https://doi.org/10.1186/s12935-018-0669-x .
doi: 10.1186/s12935-018-0669-x pubmed: 30410422 pmcid: 6219000
Vargas AC, Reed AEM, Waddell N, et al. Gene expression profiling of tumour epithelial and stromal compartments during breast cancer progression. Breast Cancer Res Treat. 2012;135:153–65. https://doi.org/10.1007/s10549-012-2123-4 .
doi: 10.1007/s10549-012-2123-4 pubmed: 22718308
Feng Y, Sun B, Li X, et al. Differentially expressed genes between primary cancer and paired lymph node metastases predict clinical outcome of node-positive breast cancer patients. Breast Cancer Res Treat. 2007;103:319–29. https://doi.org/10.1007/s10549-006-9385-7 .
doi: 10.1007/s10549-006-9385-7 pubmed: 17123152
Ellsworth RE, Seebach J, Field LA, et al. A gene expression signature that defines breast cancer metastases. Clin Exp Metastasis. 2009;26:205–13. https://doi.org/10.1007/s10585-008-9232-9 .
doi: 10.1007/s10585-008-9232-9
Drayna D, Fielding C, McLean J, et al. Cloning and expression of human apolipoprotein D cDNA. J Biol Chem. 1986;261:16535–9.
doi: 10.1016/S0021-9258(18)66599-8 pubmed: 3453108
Søiland H, Søreide K, Janssen EAM, Körner H, Baak JPA, Søreide JA. Emerging concepts of Apolipoprotein D with possible implications for breast cancer. Anal Cell Pathol. 2007;29:195–209. https://doi.org/10.1155/2007/487235 .
doi: 10.1155/2007/487235
Simard J, Dauvois S, Haagensen DE, Lévesque C, Mérand Y, Labrie F. Regulation of progesterone-binding breast cyst protein GCDFP-24 secretion by estrogens and androgens in human breast cancer cells: a new marker of steroid action in breast cancer*. Endocrinology. 1990;126:3223–31. https://doi.org/10.1210/endo-126-6-3223 .
doi: 10.1210/endo-126-6-3223 pubmed: 2351114
Shimamoto A, Kitao S, Ichikawa K, et al. A unique human gene that spans over 230 kb in the human chromosome 8p11-12 and codes multiple family proteins sharing RNA-binding motifs. Proc Natl Acad Sci. 1996;93:10913–7. https://doi.org/10.1073/pnas.93.20.10913 .
doi: 10.1073/pnas.93.20.10913 pubmed: 8855282 pmcid: 38257
Gerber WV, Vokes SA, Zearfoss NR, Krieg PA. A role for the RNA-binding protein, hermes, in the regulation of heart development. Dev Biol. 2002;247:116–26. https://doi.org/10.1006/dbio.2002.0678 .
doi: 10.1006/dbio.2002.0678 pubmed: 12074556
Baughn LB, Di Liberto M, Niesvizky R, et al. CDK2 phosphorylation of Smad2 disrupts TGF-β transcriptional regulation in resistant primary bone marrow myeloma cells. J Immunol. 2009;182:1810–7. https://doi.org/10.4049/jimmunol.0713726 .
doi: 10.4049/jimmunol.0713726 pubmed: 19201832
Sun Y, Ding L, Zhang H, et al. Potentiation of Smad-mediated transcriptional activation by the RNA-binding protein RBPMS. Nucleic Acids Res. 2006;34:6314–26. https://doi.org/10.1093/nar/gkl914 .
doi: 10.1093/nar/gkl914 pubmed: 17099224 pmcid: 1669761
Fu J, Cheng L, Wang Y, et al. The RNA-binding protein RBPMS1 represses AP-1 signaling and regulates breast cancer cell proliferation and migration. Biochim Biophys Acta BBA Mol Cell Res. 2015;1853:1–13. https://doi.org/10.1016/j.bbamcr.2014.09.022 .
doi: 10.1016/j.bbamcr.2014.09.022
Mamoor S. Differential expression of coding and non-coding RBPMS transcripts in cancers of the breast. Open Sci Framework. 2021. https://doi.org/10.31219/osf.io/4awve .
doi: 10.31219/osf.io/4awve
Cai R, Tao X, Chen Y, Starlard-Davenport A, Jones BC, Cook MN, et al. Pex3 is involved in the genetic regulation of Nr3c2 expression in the amygdala of mice. Psychiatry Res. 2020;285:112760. https://doi.org/10.1016/j.psychres.2020.112760 .
doi: 10.1016/j.psychres.2020.112760 pubmed: 32045820
Kawashima Sonoyama Y, Tajima T, Fujimoto M, et al. A novel frameshift mutation in NR3C2 leads to decreased expression of mineralocorticoid receptor: a family with renal pseudohypoaldosteronism type 1. Endocr J. 2017;64:83–90. https://doi.org/10.1507/endocrj.EJ16-0280 .
doi: 10.1507/endocrj.EJ16-0280 pubmed: 27725360
Fan Y, Li Y, Zhu Y, et al. miR-301b-3p regulates breast cancer cell proliferation, migration, and invasion by targeting NR3C2. J Oncol. 2021;2021:1–9. https://doi.org/10.1155/2021/8810517 .
doi: 10.1155/2021/8810517
Ringrose L, Paro R. Epigenetic regulation of cellular memory by the polycomb and trithorax group proteins. Annu Rev Genet. 2004;38:413–43. https://doi.org/10.1146/annurev.genet.38.072902.091907 .
doi: 10.1146/annurev.genet.38.072902.091907 pubmed: 15568982
Sun M, Song C-X, Huang H, et al. HMGA2/TET1/HOXA9 signaling pathway regulates breast cancer growth and metastasis. Proc Natl Acad Sci. 2013;110:9920–5. https://doi.org/10.1073/pnas.1305172110 .
doi: 10.1073/pnas.1305172110 pubmed: 23716660 pmcid: 3683728
Gilbert PM, Mouw JK, Unger MA, et al. HOXA9 regulates BRCA1 expression to modulate human breast tumor phenotype. J Clin Investig. 2010;120:1535–50. https://doi.org/10.1172/JCI39534 .
doi: 10.1172/JCI39534 pubmed: 20389018 pmcid: 2860938
Reynolds PA, Sigaroudinia M, Zardo G, et al. Tumor suppressor p16INK4A regulates polycomb-mediated DNA hypermethylation in human mammary epithelial cells. J Biol Chem. 2006;281:24790–802. https://doi.org/10.1074/jbc.M604175200 .
doi: 10.1074/jbc.M604175200 pubmed: 16766534
Dworkin AM, Huang TH-M, Toland AE. Epigenetic alterations in the breast: Implications for breast cancer detection, prognosis and treatment. Semin Cancer Biol. 2009;19:165–71. https://doi.org/10.1016/j.semcancer.2009.02.007 .
doi: 10.1016/j.semcancer.2009.02.007 pubmed: 19429480 pmcid: 2734184

Auteurs

Ashita Gadwal (A)

Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Basni Industrial Area, MIA 2nd Phase, Basni, Jodhpur, Rajasthan, 342005, India.

Purvi Purohit (P)

Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Basni Industrial Area, MIA 2nd Phase, Basni, Jodhpur, Rajasthan, 342005, India. dr.purvipurohit@gmail.com.

Manoj Khokhar (M)

Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Basni Industrial Area, MIA 2nd Phase, Basni, Jodhpur, Rajasthan, 342005, India.

Jeewan Ram Vishnoi (JR)

Department of Oncosurgery, All India Institute of Medical Sciences, Jodhpur, Basni Industrial Area, MIA 2nd Phase, Basni, Jodhpur, Rajasthan, 342005, India.

Puneet Pareek (P)

Department of Radiation Oncology, All India Institute of Medical Sciences, Jodhpur, Basni Industrial Area, MIA 2nd Phase, Basni, Jodhpur, Rajasthan, 342005, India.

Ramkaran Choudhary (R)

Department of General Surgery, All India Institute of Medical Sciences, Jodhpur, Basni Industrial Area, MIA 2nd Phase, Basni, Jodhpur, Rajasthan, 342005, India.

Poonam Elhence (P)

Department of Pathology, All India Institute of Medical Sciences, Jodhpur, Basni Industrial Area, MIA 2nd Phase, Basni, Jodhpur, Rajasthan, 342005, India.

Mithu Banerjee (M)

Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Basni Industrial Area, MIA 2nd Phase, Basni, Jodhpur, Rajasthan, 342005, India.

Praveen Sharma (P)

Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Basni Industrial Area, MIA 2nd Phase, Basni, Jodhpur, Rajasthan, 342005, India.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH