Abstract
Tumor vasculature is the major extrinsic factor that shapes Intra-tumoral heterogeneity (ITH). Non-uniform exposure of microenvironmental cues greatly impacts cancer cell phenotypes leading to ITH, which exacerbates therapy resistance. This raises a need to study the influence of non-uniform perfusion patterns and the resulting heterogeneity that persists within the tumor microenvironment (TME). A method was developed to identify cancer cells based on their proximity to functional blood vessels (BVs) called perfusion-based fluorescent dye labeling of cells (PFDLC). PFDLC works on the principle of perfusion, where a freely diffusible nuclear binding fluorescent dye (Hoechst 33342) is injected intravenously (i.v.) through a tail vein into atumor-bearing mice. The tumors are retrieved post dye perfusion, dissociated into single cells, and sorted based on their dye uptake proportional to their distance from the nearest blood capillary. This method is amenable to multi-omics as well as functional assays.
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References
Pouyssegur J, Dayan F, Mazure NM (2006) Hypoxia signaling in cancer and approaches to enforce tumour regression. Nature 441:437–443
Ruoslahti E (2002) Specialization of tumour vasculature. Nat Rev Cancer 2(2):83–90
Marusyk A, Janiszewska M, Polyak K (2020) Intratumor heterogeneity: the Rosetta Stone of therapy resistance. Cancer Cell 37(4):471–484
Dagogo-Jack I, Shaw AT (2018) Tumour heterogeneity and resistance to cancer therapies. Nat Rev Clin Oncol 15(2):81–94
Meacham CE, Morrison SJ (2013) Tumor heterogeneity and cancer cell plasticity. Nature 501(7467):328–337
Folkman MJ, Long DM, Becker FF (1963) Growth and metastasis of tumor in organ culture. Cancer 16:453–467
Ribatti D (2008) Judah Folkman, a pioneer in the study of angiogenesis. Angiogenesis 11(1):3–10
Carmeliet P, Jain RK (2000) Angiogenesis in cancer and other diseases. Nature 407:249–257
Goveia J, Rohlenova K, Taverna F, Treps L, Conradi L, Pircher A, Geldhof V, LMH R, Kalucka J, Sokol L, GarcÃa-Caballero M, Zheng Y, Qian J, Teuwen L, Khan S, Boeckx B, Wauters E, Decaluwé A, Leyn PD, Vansteenkiste J, Weynand B, Sagaert X, Verbeken E, Wolthuis A, Topal B, Everaerts W, Bohnenberger H, Emmert A, Panovska D, Smet FD, Staal FJT, Mclaughlin RJ, Impens F, Lagani V, Vinckier S, Mazzone M, Schoonjans L, Dewerchin M, Eelen G, Karakach TK, Yang H, Wang J, Bolund L, Lin L, Thienpont B, Li X, Lambrechts D, Luo Y, Carmeliet P (2020) An integrated gene expression landscape profiling approach to identify lung tumor endothelial cell heterogeneity and angiogenic candidates. Cancer Cell 37(1):21–36
Calabrese C, Poppleton H, Kocak M, Hogg TL, Fuller C, Hamner B, Oh EU, Gaber MW, Finklestein D, Allen M, Frank A, Bayazitov IT, Zakharenko SS, Gajjar A, Davidoff A, Gilbertson RJ (2007) A perivascular niche for brain tumor stem cells. Cancer Cell 11(1):69–82
Pasquier J, Ghiabi P, Chouchane L, Razzouk K, Rafii S, Rafii A (2020) Angiocrine endothelium: from physiology to cancer. J Transl Med 18(1):52
Li W, Khan M, Mao S, Feng S, Lin J (2018) Advances in tumor-endothelial cells co-culture and interaction on microfluidics. J Pharm Anal 8(4):210–218
Suvà ML, Tirosh I (2019) Single-cell RNA sequencing in cancer: lessons learned and emerging challenges. Mol Cell 75(1):7–12
Castro LNG, Tirosh I, Suvà ML (2021) Decoding cancer biology one cell at a time. Cancer Discov 4:960–970
Kumar S, Sharife H, Kreisel T, Mogilevsky M, Bar-Lev L, Grunewald M, Aizenshtein E, Karni R, Paldor I, Shlomi T, Keshet E (2019) Intra-tumoral metabolic zonation and resultant phenotypic diversification are dictated by blood vessel proximity. Cell Metab 30(1):201–211
Kumar S, Sharife H, Kreisel T, Bar-Lev L, Grunewald M, Keshet E (2020) Isolation of tumor cells based on their distance from blood vessels. Bio Protoc 10(10):e3628
Acknowledgments
The author would like to thank Prof. Eli Keshet and his lab members for all the necessary help during the standardization of this protocol at the Hebrew University of Jerusalem, Israel. This work was supported by the Indian Institute of Technology, Delhi (Institutional New Faculty Grant: NFG 134) to S.K. The graphical figures were designed using Biorender webtool.
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Kumar, S. (2023). Perfusion-Based Fluorescent Dye Labeling to Sort Cancer Cells Based on Their Distance from Blood Vessels. In: Ribatti, D. (eds) Tumor Angiogenesis Assays. Methods in Molecular Biology, vol 2572. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2703-7_4
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DOI: https://doi.org/10.1007/978-1-0716-2703-7_4
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