Program Official
Principal Investigator
Shilpa
Sant
Awardee Organization
University Of Illinois At Chicago
United States
Fiscal Year
2024
Activity Code
R37
Early Stage Investigator Grants (ESI)
Not Applicable
Project End Date
NIH RePORTER
For more information, see NIH RePORTER Project 5R37CA232209-07
Three-dimensional organoid models to study breast cancer progression
Approximately 20% of breast cancers detected through mammography are pre-invasive Ductal Carcinoma in situ (DCIS). If left untreated, approximately 20-50% of DCIS will progress to more deadly Invasive Ductal Carcinoma (IDC). No prognostic biomarkers can reliably predict the risk of progression from DCIS to IDC. Similar genomic profiles of matched pre-invasive DCIS and IDC suggests that the progression is not driven by genetic aberrations in DCIS cells, but microenvironmental factors, such as hypoxia and metabolic stress prevalent in DCIS, may drive the transition. We need innovative models to investigate how to halt steps of DCIS progression to invasive phenotypes and subsequent metastasis from the primary site. This proposal directly addresses this unmet need by developing a novel three-dimensional in vitro organoid model that recapitulates key hallmarks of DCIS to IDC progression: tumor-size induced hypoxia and metabolic stress, tumor heterogeneity and spontaneous emergence of migratory phenotype in the same parent cells without any additional stimulus. A tangible advantage of the proposed organoid models is the ability to precisely and reproducibly study how the hypoxic microenvironment induces tumor migration in real time and in isolation from non-tumor cells present in vivo, providing unique opportunity to define tumor-intrinsic mechanisms of DCIS to IDC progression. During July 2018-Feb 2022 ESI MERIT Award period, we have shown that inhibition of tumor-secreted factors effectively halts organoid migration, while inhibition of hypoxia is effective only within a time window and is compromised by tumor-to-tumor variation, supporting our notion that hypoxia initiates migratory phenotypes but does not sustain it. We have also analyzed secretome from metastatic breast cancer pleural effusion showing significantly higher levels of CCL2/MCP1, CXCL10/IP10, IL-6, IL-8, regulatory IL-10, and IL-7 and IL-15. Strategies to neutralize these key cytokines may generate anti-tumor responses in the pleural environment. Microarray analysis of hypoxia-induced migration and secretome-induced migration suggested role of Rho GTPase and PI3K/AKT signaling pathways in maintaining migration. Our results show that hypoxic organoid models exhibit partial EMT signatures as early as day 1, which is maintained as these non-migratory organoids transition to migratory phenotypes. During the two-year extension period, we will continue 1) to optimize our DCIS models incorporating ductal structure and other components from DCIS microenvironments; 2) to test new mechanisms linking tumor-intrinsic hypoxia, partial/hybrid EMT and collective migration; 3) to inhibit signaling mechanisms to halt emergence of migratory phenotypes. The successful completion of the proposed work will provide answers to two fundamental questions in the progression of invasive breast cancer: 1) What causes some DCIS cells to become migratory and develop into invasive tumors? 2) How and where does the migratory phenotype (IDC) emerge? The mechanistic understanding gained from these studies will improve diagnosis, lead to the development of treatment strategies to arrest invasion at the pre-malignant stage, and thus prevent patient overtreatment.
Publications
- Yang J, Antin P, Berx G, Blanpain C, Brabletz T, Bronner M, Campbell K, Cano A, Casanova J, Christofori G, Dedhar S, Derynck R, Ford HL, Fuxe J, García de Herreros A, Goodall GJ, Hadjantonakis AK, Huang RYJ, Kalcheim C, Kalluri R, Kang Y, Khew-Goodall Y, Levine H, Liu J, Longmore GD, Mani SA, Massagué J, Mayor R, McClay D, Mostov KE, Newgreen DF, Nieto MA, Puisieux A, Runyan R, Savagner P, Stanger B, Stemmler MP, Takahashi Y, Takeichi M, Theveneau E, Thiery JP, Thompson EW, Weinberg RA, Williams ED, Xing J, Zhou BP, Sheng G, EMT International Association (TEMTIA). Guidelines and definitions for research on epithelial-mesenchymal transition. Nature reviews. Molecular cell biology. 2020 Jun;21(6):341-352. Epub 2020 Apr 16. PMID: 32300252
- Donnenberg VS, Luketich JD, Popov B, Bartlett DL, Donnenberg AD. A common secretomic signature across epithelial cancers metastatic to the pleura supports IL-6 axis therapeutic targeting. Frontiers in immunology. 2024 Jul 24;15:1404373. doi: 10.3389/fimmu.2024.1404373. eCollection 2024. PMID: 39114667
- Ardila DC, Aggarwal V, Singh M, Chattopadhyay A, Chaparala S, Sant S. Identifying Molecular Signatures of Distinct Modes of Collective Migration in Response to the Microenvironment Using Three-Dimensional Breast Cancer Models. Cancers. 2021 Mar 20;13. (6). PMID: 33804802
- Wang W, Douglas D, Zhang J, Kumari S, Enuameh MS, Dai Y, Wallace CT, Watkins SC, Shu W, Xing J. Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data. Science advances. 2020 Sep 4;6. (36). Print 2020 Sep. PMID: 32917609
- Xing J. Reconstructing data-driven governing equations for cell phenotypic transitions: integration of data science and systems biology. Physical biology. 2022 Sep 9;19. (6). PMID: 35998617
- Lewis CR, Dadgar N, Yellin SA, Donnenberg VS, Donnenberg AD, Bartlett DL, Allen CJ, Wagner PL. Regional Immunotherapy for Peritoneal Carcinomatosis in Gastroesophageal Cancer: Emerging Strategies to Re-Condition a Maladaptive Tumor Environment. Cancers. 2023 Oct 23;15. (20). PMID: 37894473
- Wang W, Taft DA, Chen YJ, Zhang J, Wallace CT, Xu M, Watkins SC, Xing J. Learn to segment single cells with deep distance estimator and deep cell detector. Computers in biology and medicine. 2019 May;108:133-141. Epub 2019 Apr 8. PMID: 31005005
- Donnenberg AD, Luketich JD, Donnenberg VS. Secretome of pleural effusions associated with non-small cell lung cancer (NSCLC) and malignant mesothelioma: therapeutic implications. Oncotarget. 2019 Nov 5;10(60):6456-6465. doi: 10.18632/oncotarget.27290. eCollection 2019 Nov 5. PMID: 31741710
- Aggarwal V, Sahoo S, Donnenberg VS, Chakraborty P, Jolly MK, Sant S. P4HA2: A link between tumor-intrinsic hypoxia, partial EMT and collective migration. Advances in cancer biology - metastasis. 2022 Oct;5. Epub 2022 Jul 31. PMID: 36187341
- Aggarwal V, Miranda O, Johnston PA, Sant S. Three dimensional engineered models to study hypoxia biology in breast cancer. Cancer letters. 2020 Oct 10;490:124-142. Epub 2020 Jun 20. PMID: 32569616
- Dos Reis RS, Sant S, Ayyavoo V. Three-Dimensional Human Brain Organoids to Model HIV-1 Neuropathogenesis. Methods in molecular biology (Clifton, N.J.). 2023;2610:167-178. PMID: 36534290
- Qiu X, Zhang Y, Martin-Rufino JD, Weng C, Hosseinzadeh S, Yang D, Pogson AN, Hein MY, Hoi Joseph Min K, Wang L, Grody EI, Shurtleff MJ, Yuan R, Xu S, Ma Y, Replogle JM, Lander ES, Darmanis S, Bahar I, Sankaran VG, Xing J, Weissman JS. Mapping transcriptomic vector fields of single cells. Cell. 2022 Feb 17;185(4):690-711.e45. Epub 2022 Feb 1. PMID: 35108499
- Donnenberg AD, Luketich JD, Dhupar R, Donnenberg VS. Treatment of malignant pleural effusions: the case for localized immunotherapy. Journal for immunotherapy of cancer. 2019 Apr 18;7(1):110. PMID: 30999958
- Tripathi S, Xing J, Levine H, Jolly MK. Mathematical Modeling of Plasticity and Heterogeneity in EMT. Methods in molecular biology (Clifton, N.J.). 2021;2179:385-413. PMID: 32939734
- Donnenberg VS, Luketich JD, Sultan I, Lister J, Bartlett DL, Ghosh S, Donnenberg AD. A maladaptive pleural environment suppresses preexisting anti-tumor activity of pleural infiltrating T cells. Frontiers in immunology. 2023 Mar 30;14:1157697. doi: 10.3389/fimmu.2023.1157697. eCollection 2023. PMID: 37063842
- Aggarwal V, Montoya CA, Donnenberg VS, Sant S. Interplay between tumor microenvironment and partial EMT as the driver of tumor progression. iScience. 2021 Jan 28;24(2):102113. doi: 10.1016/j.isci.2021.102113. eCollection 2021 Feb 19. PMID: 33659878
- Xing J. Bidirectional interplay between physical and biological approaches on studying the epithelial-to-mesenchymal transition. Physical biology. 2020 Feb 28;17(2):020201. PMID: 32109225
- Gadag S, Narayan R, Nayak AS, Catalina Ardila D, Sant S, Nayak Y, Garg S, Nayak UY. Development and preclinical evaluation of microneedle-assisted resveratrol loaded nanostructured lipid carriers for localized delivery to breast cancer therapy. International journal of pharmaceutics. 2021 Sep 5;606:120877. Epub 2021 Jul 10. PMID: 34252522
- Chen YJ, Cheng YY, Wang W, Tian XJ, Lefever DE, Taft DA, Zhang J, Xing J. Rapid, modular, and cost-effective generation of donor DNA constructs for CRISPR-based gene knock-in. Biology methods & protocols. 2020 Mar 20;5(1):bpaa006. doi: 10.1093/biomethods/bpaa006. eCollection 2020. PMID: 32411820
- Dadgar N, Sherry C, Zimmerman J, Park H, Lewis C, Donnenberg A, Zaidi AH, Fan Y, Xiao K, Bartlett D, Donnenberg V, Wagner PL. Targeting interleukin-6 as a treatment approach for peritoneal carcinomatosis. Journal of translational medicine. 2024 Apr 30;22(1):402. PMID: 38689325
- Wang W, Poe D, Yang Y, Hyatt T, Xing J. Epithelial-to-mesenchymal transition proceeds through directional destabilization of multidimensional attractor. eLife. 2022 Feb 21;11. PMID: 35188459
- Dos Reis RS, Sant S, Keeney H, Wagner MCE, Ayyavoo V. Modeling HIV-1 neuropathogenesis using three-dimensional human brain organoids (hBORGs) with HIV-1 infected microglia. Scientific reports. 2020 Sep 16;10(1):15209. PMID: 32938988
- Xing J, Tian XJ. Investigating epithelial-to-mesenchymal transition with integrated computational and experimental approaches. Physical biology. 2019 Mar 7;16(3):031001. PMID: 30665206
- Singh M, Tian XJ, Donnenberg VS, Watson AM, Zhang J, Stabile LP, Watkins SC, Xing J, Sant S. Targeting the Temporal Dynamics of Hypoxia-Induced Tumor-Secreted Factors Halts Tumor Migration. Cancer research. 2019 Jun 1;79(11):2962-2977. Epub 2019 Apr 5. PMID: 30952634