Comparing Subtypes of Breast Cancer Using a Message-Passing Network

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Dana-Farber Cancer Institute Comparing Subtypes of Breast Cancer Using a Message-assing Network Kamrine oels

Outline Breast cancer and its molecular subtypes assing Attributes between Networks for Data Assimilation (ANDA) Luminal A vs. Luminal B breast cancer Basal-like vs. Luminal B breast cancer Gene Sets Future goals

Molecular Subtypes of Breast Cancer Four recognized molecular subtypes of breast cancer: Luminal A Luminal B Basal (also called Triple Negative BC) HER2-positive (ERBB2)

198 samples came from Bioconductor public website, data is Breast Cancer TRANSBIG Samples were separated according to molecular subtype using the Subtype Clustering Model [1] 71 samples were Luminal A, 60 samples were Luminal B, 45 samples were Basal-like breast cancer, and 22 samples were HER2+. Luminal A and Luminal B are distinguished by level of proliferation.

ANDA Algorithm [2] Main objective of ANDA is to find agreement between data represented by multiple networks: rotein-protein interaction Gene-expression (co-regulation network) TF-gene interaction (regulatory network)

TF-Motif Scan interaction 0 Network 0 Co-regulation 0 Responsibility Availability interaction 1 Network 1 Co-regulation 1 ANDA estimates the probability that an edge exists in a network and returns that estimate in terms of Z-score units

Responsibility(R ij ): information flowing from TF i to gene j TF-Motif Scan interaction 0 Responsibility Network 0 Co-regulation 0 Availability R (t) ij = s m (t) im m 2 + m (t) im mj 2 mj (t) im mj m interaction 1 Network 1 Co-regulation 1 Availability (A ij ): information flowing from gene j to TF i TF-Motif Scan interaction 0 Responsibility Network 0 Co-regulation 0 Availability A (t) ij = s k ik k 2 + k ik C(t) kj C (t) kj 2 k ik C(t) kj interaction 1 Network 1 Co-regulation 1

Since regulation requires both that TF is responsible for the regulation of a certain gene and that gene to be available for regulation by that TF: ij = A(t) ij + R(t) ij 2 W (t+1) ij =(1 ) ij + W (t) ij TF-Motif Scan interaction 0 Network 0 Co-regulation 0 Responsibility Availability interaction 1 Network 1 Co-regulation 1

Cooperation between TF s i and m: (t) im = v u t j ij j 2 + j ij mj mj 2 j ij mj TF-Motif Scan interaction 0 Network 0 Co-regulation 0 Co-regulated genes j and k: Responsibility Availability C (t) kj = s i ik i 2 + i ik ij ij 2 i ik ij interaction 1 Network 1 Co-regulation 1 Update matrices: (t+1) im =(1 ) (t) im + (t) im C (t+1) jk =(1 ) C (t) jk + C (t) jk

Luminal A vs Luminal B: Transcription Factors TF Gene We looked at the transcription factors with the highest differential targeting between the two networks with p-value <.001 25 key transcription factors (1 in Luminal A and 24 in Luminal B). At least 6 of 24 are considered proto-oncogenes or interact with one CREB1 - binds to cam response element, stimulates transcription ELK1 can augment the growth suppressive function of BRCA1a/1b proteins in breast cancer cells [3]. However, data did not show a relationship with any BRCA gene, but it did with ELK4

HINF (MIZF) - interacts with MBD2 and plays role in DNA methylation (it has been shown that MBD2 functions as a demethylase to activate transcription) [4] JUN::FOS - mutation in regulator increases metastasis; study suggests development of anti-c-jun strategies in breast cancer therapy [5]

Luminal A vs Luminal B: Gene sets Gene Set Enrichment Analysis [6]. Genes were ranked using differential regulation, then gene list was run on GSEA where genes were assigned to a gene set. Gene sets involved with extracellular structure and protein transportation are enriched in Luminal B. Lum A Lum B Value= log 10 (p.value)

Luminal A vs Luminal B: Gene Expression AURKA, BRCA2, CDK4, MYBL2 (cell cycle progression), MKI67, and CCNB1(involved in mitosis) are expressed significantly higher in Luminal B than in Luminal A TEN, a negative regulator and tumor suppressor, is expressed significantly lower in Luminal B. MKI67 index could serve as a potential proliferation marker that could successfully differentiate Luminal A from Luminal B [7] CDK4 has role in proliferation, cyclin inhibitors are currently in early-phase development [8] FGFR1 gene amplification in Lum B (not significant), knockdown of FGFR1 could reverse resistance to endocrine therapy [9]

Basal vs Luminal B: Gene Sets Luminal B has enriched gene sets involved with extracellular activity, structure, and cell recognition. Basal-like BC has enriched gene sets involved with mitochondrial activity [10] and proteolysis (breaking down of proteins) Basal-like Lum B

Future Goals Expand function/method of ANDA: Currently bipartite network Effects of genes on genes Network Structure Differences among most aggressive subtypes

Acknowledgments Kimberly Glass, hd John Quackenbush, hd Dana-Farber Cancer Institute Harvard School of ublic Health

References 1. Haibe-Kains, B., Desmedt, C., Loi, S., Culhane, A.C., Bontempi, G., Quackenbush, J., Sotitiou, C. (2011). A Three-Gene Model to Robustly Identify Breast Cancer Molecular Subtypes. Journal of the National Cancer Institute Advance Access, Vol. 104, 1-15. doi: 10.1093jnci/djr54 2. Glass K, Huttenhower C, Quackenbush J, Yuan G-C (2013). assing Messages between Biological Networks to Refine redicted Interactions. LoS ONE 8(5): e64832. doi:10.1371/journal.pone.0064832 3. Chai, Y., Chipitsyna, G., Cui, J., Liao, B., Liu, S., Aysola, K.,, Rao, V. (2001). c-fos Oncogene Regulator ELK1 Interacts with BRCA1 splice variants BRCA1a/1b and enhances BRCA1a/1b - mediated growth suppression in Breast Cancer Cells. Oncogene, 20, 1357-1367. 4. Fujita, H., Fujii, R., Aratani, S., Amano, T., Fukamisu, A., Nakajima, T. (2003). Antithetic Effects of MBD2 Regulation. Molecular and Cellular Biology, 2645-2657. DOI: 10.1128/MCB.23.8.2645-2657.2003. 5. Zhang Y, u X, Shi M, Chen L, Song Y, Qian L, Yuan G, Zhang H, Yu M, Hu M, Shen B, Guo N (2007). "Critical role of c-jun overexpression in liver metastasis of human breast cancer xenograft model". BMC Cancer 7: 145. doi:10.1186/1471-2407-7-145 6. http://www.broadinstitute.org/gsea/index.jsp 7. Cheang, M., Chia, S., Voduc, D., Gao, D., Leung, S., Snider, J.,, Nielsen, T.O. (2009).Ki67 Index, HER2 Status, and rognosis of atients With Luminal B Breast Cancer. JNCI J Natl Cancer Inst 101 (10): 736-750. doi: 10.1093/jnci/djp082 8. Cyclin D1 Kinase Activity Is Required for the Self-Renewal of Mammary Stem and rogenitor Cells that Are Targets of MMTV-ErbB2 Tumorigenesis. Cancer Cell, Volume 17, Issue 1, 65-9. Turner N, earson A, Sharpe R, Lambros M, Geyer F, Lopez-Garcia MA, Natrajan R, Marchio C, Iorns E, Mackay A, Gillett C, Grigoriadis A, Tutt A, Reis-Filho JS, Ashworth A: FGFR1 amplification drives endocrine therapy resistance and is a therapeutic target in breast cancer. Cancer Res 2010, 70:2085-2094 10. Kim, M., Kim, D., Jung, W., Koo, J., (2013). Expression of metabolism-related proteins in tripe-negative breast cancer. Int J Clin Exp athol, 7(1): 301 312.