Lee J, Kwak B. Simultaneous on-chip isolation and characterization of circulating tumor cell sub-populations. Biosens Bioelectron. 2020;168:112564.
Rossi T, Gallerani G, Angeli D, Cocchi C, Bandini E, Fici P, Gaudio M, Martinelli G, Rocca A, Maltoni R, Fabbri F. Single-cell NGS-based analysis of copy number alterations reveals new insights in circulating tumor cells persistence in early-stage breast cancer. Cancers (Basel). 2020;12(9):2490.
Wang D, Ge C, Liang W, Yang Q, Liu Q, Ma W, Shi L, Wu H, Zhang Y, Wu Z, Wei C, Huang L, Fang Z, Liu L, Bao S, Zhang H. In vivo enrichment and elimination of circulating tumor cells by using a black phosphorus and antibody functionalized intravenous catheter. Adv Sci (Weinh). 2020;7(17):2000940.
Lim SB, Lim CT, Lim WT. Single-cell analysis of circulating tumor cells: why heterogeneity matters. Cancers (Basel). 2019;11(10):1595.
Su Z, Wang Z, Ni X, Duan J, Gao Y, Zhuo M, Li R, Zhao J, Ma Q, Bai H, Chen H, Wang S, Chen X, An T, Wang Y, Tian Y, Yu J, Wang D, Xie XS, Bai F, Wang J. Inferring the evolution and progression of small-cell lung cancer by single-cell sequencing of circulating tumor cells. Clin Cancer Res. 2019;25(16):5049–60.
D'Avola D, Villacorta-Martin C, Martins-Filho SN, Craig A, Labgaa I, von Felden J, Kimaada A, Bonaccorso A, Tabrizian P, Hartmann BM, Sebra R, Schwartz M, Villanueva A. High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma. Sci Rep. 2018;8(1):11570.
Fernandez SV, Bingham C, Fittipaldi P, et al. TP53 mutations detected in circulating tumor cells present in the blood of metastatic triple negative breast cancer patients. Breast Cancer Res. 2014;16:445.
Lohr JG, Adalsteinsson VA, Cibulskis K, et al. Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer. Nat Biotechnol. 2014;32:479–84.
Ni X, Zhuo M, Su Z, et al. Reproducible copy number variation patterns among single circulating tumor cells of lung cancer patients. Proc Natl Acad Sci USA. 2013;110:21083–8.
Chen XY, Ariss MM, Ramakrishnan G, et al. Cell-Autonomous versus Systemic Akt Isoform Deletions Uncovered New Roles for Akt1 and Akt2 in Breast Cancer. Mol Cell. 2020;80:87–101.
Zhou Y, Bian S, Zhou X, et al. Single-Cell Multiomics Sequencing Reveals Prevalent Genomic Alterations in Tumor Stromal Cells of Human Colorectal Cancer. Cancer Cell. 2020;38:818–28.
Wouters J, Kalender-Atak Z, Minnoye L, et al. Robust gene expression programs underlie recurrent cell states and phenotype switching in melanoma. Nat Cell Biol. 2020;22:986–98.
Maynard A, McCoach CE, Rotow JK, et al. Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing. Cell. 2020;182:1232–51.
Chen S, Zhu GH, Yang Y, et al. Single-cell analysis reveals transcriptomic remodellings in distinct cell types that contribute to human prostate cancer progression. Nat Cell Biol. 2021;23:87–98.
Somasundaram R, Villanueva J, Herlyn M. Intratumoral heterogeneity as a therapy resistance mechanism:role of melanoma subpopulations. Adv Pharmacol. 2012;65:335–59.
Friedl P, Alexander S. Cancer invasion and the microenvironment:plasticity and reciprocity. Cell. 2011;147:992–1009.
Fisher R, Pusztai L, Swanton C. Cancer heterogeneity:implications for targeted therapeutics. Br J Cancer. 2013;108:479–85.
Visvader JE, Lindeman GJ. Cancer stem cells in solid tumours:accumulating evidence and unresolved questions. Nat Rev Cancer. 2008;8:755–68.
Nowell PC. The clonal evolution of tumor cell populations. Science. 1976;194:23–8.
Chekhun VF, Demash DV, Nalieskina LA. Evaluation of biological effects and possible mechanisms of action of static magnetic field. Fiziol Zh. 2012;58:85–94.
Tellez-Gabriel M, Ory B, Lamoureux F, et al. Tumour heterogeneity:the advantages of single-cell analysis. Int J Mol Sci. 2016;17:1–19.
Cassidy JW, Caldas C, Bruna A. Maintaining tumor heterogeneity in patient-derived tumor xenografts. Cancer Res. 2015;7:2963–8.
Vermaat JS, Nijman IJ, Koudijs MJ, et al. Primary colorectal cancers and their subsequent hepatic metastases are genetically different:implications for selection of patients for targeted treatment. Clin Cancer Res. 2012;18:688–99.
Mao C, Wu XY, Yang ZY, et al. Concordant analysis of KRAS, BRAF, PIK3CA mutations, and PTEN expression between primary colorectal cancer and matched metastases. Sci Rep. 2015;5:8065.
Cejas P, Lopez-Gomez M, Aguayo C, et al. Analysis of the concordance in the EGFR pathway status between primary tumors and related metastases of colorectal cancer patients:implications for cancer therapy. Curr Cancer Drug Targets. 2012;12:124–31.
Colombino M, Capone M, Lissia A, et al. BRAF/NRAS mutation frequencies among primary tumors and metastases in patients with melanoma. J Clin Oncol. 2012;30:2522–9.
Chen ZY, Zhong WZ, Zhang XC, et al. EGFR mutation heterogeneity and the mixed response to EGFR tyrosine kinase inhibitors of lung adenocarcinomas. Oncologist. 2012;17:978–85.
Hayes DF, Paoletti C. Circulating tumour cells:insights into tumour heterogeneity. J Int Med. 2013;274:137–43.
Wang C, Ye M, Cheng L, et al. Simultaneous isolation and detection of circulating tumor cells with a microfluidic silicon-nanowire-array integrated with magnetic upconversion nanoprobes. Biomaterials. 2015;54:55–62.
Cristofanilli M, Budd GT, Ellis MJ, et al. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med. 2004;351:781–91.
Sieuwerts AM, Kraan J, Bolt J, et al. Anti-epithelial cell adhesion molecule antibodies and the detection of circulating normal-like breast tumor cells. J Natl Cancer Inst. 2009;101:61–6.
Nagrath S, Sequist LV, Maheswaran S, et al. Isolation of rare circulating tumour cells in cancer patients by microchip technology. Nature. 2007;450:1235–9.
Gascoyne PR, Noshari J, Anderson TJ, et al. Isolation of rare cells from cell mixtures by dielectrophoresis. Electrophoresis. 2009;30:1388–98.
Swennenhuis Joost F,Tibbe Arjan G J,Stevens Michiel et al. Self-seeding microwell chip for the isolation and characterization of single cells.[J]. Lab Chip. 2015;15: 3039–46.
Stevens Michiel,Oomens Lisa,Broekmaat Joska et al. VyCAP's puncher technology for single cell identification, isolation, and analysis.[J]. Cytometry A. 2018; 93: 1255–1259.
Kim MY, Oskarsson T, Acharyya S, et al. Tumor self-seeding by circulating cancer cells. Cell. 2009;139:1315–26.
Aceto N, Bardia A, Miyamoto DT, et al. Circulating tumor cell clusters are oligoclonal precursors of breast cancer metastasis. Cell. 2014;158:1110–22.
Yu C, Yu J, Yao X, et al. Discovery of biclonal origin and a novel oncogene SLC12A5 in colon cancer by single-cell sequencing. Cell Res. 2014;24:701–12.
Kolodziejczyk AA, Kim JK, Svensson V, et al. The technology and biology of single-cell RNA sequencing. Mol Cell. 2015;58:610–20.
Ramser K, Hanstorp D. Optical manipulation for single-cell studies. J Biophotonics. 2010;3:187–206.
Kirkness EF, Grindberg RV, Yee-Greenbaum J, et al. Sequencing of isolated sperm cells for direct haplotyping of a human genome. Genome Res. 2013;23:826–32.
Shalek AK, Satija R, Shuga J, et al. Single-cell RNA-seq reveals dynamic paracrine control of cellular variation. Nature. 2014;510:363–9.
Heitzer E, Auer M, Gasch C, et al. Complex tumor genomes inferred from single circulating tumor cells by array-CGH and next-generation sequencing. Cancer Res. 2013;73:2965–75.
Fuchs AB, Romani A, Freida D, et al. Electronic sorting and recovery of single live cells from microlitre sized samples. Lab Chip. 2006;6:121–6.
Peeters DJ, De Laere B, Van den Eynden GG, et al. Semiautomated isolation and molecular characterisation of single or highly purified tumour cells from Cell Search enriched blood samples using dielectrophoretic cell sorting. Br J Cancer. 2013; 108:1358–67
Polzer B, Medoro G, Pasch S, et al. Molecular profiling of single circulating tumor cells with diagnostic intention. EMBO Mol Med. 2014;6:1371–86.
Fabbri F, Carloni S, Zoli W, et al. Detection and recovery of circulating colon cancer cells using a dielectrophoresisbased device: KRAS mutation status in pure CTCs. Cancer Lett. 2013;335:225–31.
Choi JH, Ogunniyi AO, Du M, et al. Development and optimization of a process for automated recovery of single cells identified by microengraving. Biotechnol Prog. 2010;26:888–95.
Nagano T, Lubling Y, Stevens TJ, et al. Single-cell Hi-C reveals cell-to-cell variability in chromosome structure. Nature. 2013;502:59–64.
Zhang X, Marjani SL, Hu Z, et al. Single-cell sequencing for precise cancer research:progress and prospects. Cancer Res. 2016;76:1305–12.
Dean FB, Hosono S, Fang L, et al. Comprehensive human genome amplification using multiple displacement amplification. Proc Natl Acad Sci USA. 2002;99:5261–6.
Ling LL, Keohavong P, Dias C, et al. Optimization of the polymerase chain reaction with regard to fidelity:modified T7, Taq, and vent DNA polymerases. PCR Methods Appl. 1991;1:63–9.
Blanco L, Salas M. Characterization and purification of a phage phi 29-encoded DNA polymerase required for the initiation of replication. Proc Natl Acad Sci USA. 1984;81:5325–9.
Dean FB, Nelson JR, Giesler TL, et al. Rapid amplification of plasmid and phage DNA using Phi 29 DNA polymerase and multiply-primed rolling circle amplification. Genome Res. 2001;11:1095–9.
Lasken RS. Genomic DNA amplification by the multiple displacement amplification (MDA) method. Biochem Soc Trans. 2009;37:450–3.
Gole J, Gore A, Richards A, et al. Massively parallel polymerase cloning and genome sequencing of single cells using nanoliter microwells. Nat Biotechnol. 2013;31:1126–32.
Fu Y, Li C, Lu S, et al. Uniform and accurate single-cell sequencing based on emulsion whole-genome amplification. Proc Natl Acad Sci USA. 2015;112:11923–8.
Picher AJ, Budeus B, Wafzig O, et al. True Prime is a novel method for whole-genome amplification from single cells based on Tth Prim Pol. Nat Commun. 2016;7:13296.
Zong C, Lu S, Chapman AR, et al. Genome-wide detection of single-nucleotide and copy-number variations of a single human cell. Science. 2012;338:1622–6.
Jessri M, Farah CS. Harnessing massively parallel sequencing in personalized head and neck oncology. J Dent Res. 2014;93:437–44.
Direito SO, Zaura E, Little M, et al. Systematic evaluation of bias in microbial community profiles induced by whole genome amplification. Environ Microbiol. 2014;16:643–57.
Bankevich A, Nurk S, Antipov D, et al. SPAdes:a new genome assembly algorithm and its applications to singlecell sequencing. J Comput Biol. 2012;19:455–77.
Harrington ED, Arumugam M, Raes J, et al. Smash Cell:a software framework for the analysis of single-cell amplified genome sequences. Bioinformatics. 2010;26:2979–80.
Chitsaz H, Yee-Greenbaum JL, Tesler G, et al. Efficient de novo assembly of single-cell bacterial genomes from short-read data sets. Nat Biotechnol. 2011;29:915–21.
Cheng YH, Chen YC, Lin E, Brien R, Jung S, Chen YT, Lee W, Hao Z, Sahoo S, Min Kang H, Cong J, Burness M, Nagrath S, S Wicha M, Yoon E. Hydro-Seq enables contamination-free high-throughput single-cell RNA-sequencing for circulating tumor cells. Nat Commun. 2019;10(1):2163. https://doi.org/10.1038/s41467-019-10122-2. PMID: 31092822; PMCID: PMC6520360.
Pantel K, Alix-Panabières C. Liquid biopsy and minimal residual disease - latest advances and implications for cure. Nat Rev Clin Oncol. 2019;16(7):409–24. https://doi.org/10.1038/s41571-019-0187-3 PMID: 30796368.
Van Loo P, Voet T. Single cell analysis of cancer genomes. Curr Opin Genet Dev. 2014;24:82–91.
Pestrin M, Salvianti F, Galardi F, et al. Heterogeneity of PIK3CA mutational status at the single cell level in circulating tumor cells from metastatic breast cancer patients. Mol Oncol. 2015;9:749–57.
Sakaizawa K, Goto Y, Kiniwa Y, et al. Mutation analysis of BRAF and KIT in circulating melanoma cells at the single cell level. Br J Cancer. 2012;106:939–46.
Gao Y, Ni X, Guo H, et al. Single-cell sequencing deciphers a convergent evolution of copy number alterations from primary to circulating tumour cells. Genome Res. 2017;27:1312–22.
Shah N, Wang P, Wongvipat J, et al. Regulation of the glucocorticoid receptor via a BET-dependent enhancer drives antiandrogen resistance in prostate cancer. Elife. 2017;6:e27861.
Puhr M, Eigentler A, Handle F, et al. Targeting the glucocorticoid receptor signature gene Mono Amine Oxidase-A enhances the efficacy of chemo- and anti-androgen therapy in advanced prostate cancer. Oncogene. 2021;40(17):3087–100.
Dago AE, Stepansky A, Carlsson A, Luttgen M, Kendall J, Baslan T, Kolatkar A, Wigler M, Bethel K, Gross ME, Hicks J, Kuhn P. Rapid phenotypic and genomic change in response to therapeutic pressure in prostate cancer inferred by high content analysis of single circulating tumor cells. PLoS One. 2014;9(8):e101777.
Reategui E, Aceto N, Lim EJ, et al. Tunable nanostructured coating for the capture and selective release of viable circulating tumor cells. Adv Mater. 2015;27:1593–9.
Shaw JA, Guttery DS, Hills A, et al. Mutation analysis of cell-free DNA and single circulating tumor cells in metastatic breast cancer patients with high circulating tumor cell counts. Clin Cancer Res. 2017;23:88–96.
Court CM, Ankeny JS, Sho S, et al. Reality of single circlating tumorcell sequencing for molecular diagnostics in pancreatic cancer. J Mol Diagn. 2016;18:688–96.
Ting DT, Wittner BS, Ligorio M, et al. Single-cell RNA sequencing identifies extracellular matrix gene expression by pancreatic circulating tumor cells. Cell Rep. 2014;8:1905–18.
Miyamoto DT, Zheng Y, Wittner BS, et al. RNA-Seq of single prostate CTCs implicates noncanonical Wnt signaling in antiandrogen resistance. Science. 2015;349:1351–6.
Salehi S, Steif A, Roth A, et al. ddClone: joint statistical inference of clonal populations from single cell and bulk tumour sequencing data. Genome Biol. 2017;18(1):44. Published 2017 Mar 1.
Svensson V, Teichmann SA, Stegle O. SpatialDE: identification of spatially variable genes. Nat Methods. 2018;15(5):343–6.
Chen C, Xing D, Tan L, et al. Single-cell whole-genome analyses by Linear Amplification via Transposon Insertion (LIANTI). Science. 2017;356:189–94.
Mardis ER. Next-generation DNA sequencing methods. Annu Rev Genomics Hum Genet. 2008;9:387–402.