Similar articles for PMID: 28487279

Year	Number of Results
2005	1
2010	2
2011	4
2012	3
2013	3
2014	7
2015	19
2016	18
2017	18
2018	16
2019	14
2020	21
2021	15
2022	13
2023	1
2024	0

1

Single-cell sequencing deciphers a convergent evolution of copy number alterations from primary to circulating tumor cells.

Gao Y, Ni X, Guo H, Su Z, Ba Y, Tong Z, Guo Z, Yao X, Chen X, Yin J, Yan Z, Guo L, Liu Y, Bai F, Xie XS, Zhang N. Gao Y, et al. Genome Res. 2017 Aug;27(8):1312-1322. doi: 10.1101/gr.216788.116. Epub 2017 May 9. Genome Res. 2017. PMID: 28487279 Free PMC article.

2

A streamlined workflow for single-cells genome-wide copy-number profiling by low-pass sequencing of LM-PCR whole-genome amplification products.

Ferrarini A, Forcato C, Buson G, Tononi P, Del Monaco V, Terracciano M, Bolognesi C, Fontana F, Medoro G, Neves R, Möhlendick B, Rihawi K, Ardizzoni A, Sumanasuriya S, Flohr P, Lambros M, de Bono J, Stoecklein NH, Manaresi N. Ferrarini A, et al. PLoS One. 2018 Mar 1;13(3):e0193689. doi: 10.1371/journal.pone.0193689. eCollection 2018. PLoS One. 2018. PMID: 29494651 Free PMC article.

3

Chromosomal Instability Estimation Based on Next Generation Sequencing and Single Cell Genome Wide Copy Number Variation Analysis.

Greene SB, Dago AE, Leitz LJ, Wang Y, Lee J, Werner SL, Gendreau S, Patel P, Jia S, Zhang L, Tucker EK, Malchiodi M, Graf RP, Dittamore R, Marrinucci D, Landers M. Greene SB, et al. PLoS One. 2016 Nov 16;11(11):e0165089. doi: 10.1371/journal.pone.0165089. eCollection 2016. PLoS One. 2016. PMID: 27851748 Free PMC article.

4

Genomic Analysis of Localized High-Risk Prostate Cancer Circulating Tumor Cells at the Single-Cell Level.

Rangel-Pozzo A, Liu S, Wajnberg G, Wang X, Ouellette RJ, Hicks GG, Drachenberg D, Mai S. Rangel-Pozzo A, et al. Cells. 2020 Aug 8;9(8):1863. doi: 10.3390/cells9081863. Cells. 2020. PMID: 32784507 Free PMC article.

5

Copy number alterations analysis of primary tumor tissue and circulating tumor cells from patients with early-stage triple negative breast cancer.

Silvestri M, Dugo M, Vismara M, De Cecco L, Lanzoni D, Vingiani A, Folli S, De Santis MC, de Braud F, Pruneri G, Di Cosimo S, Cappelletti V. Silvestri M, et al. Sci Rep. 2022 Jan 27;12(1):1470. doi: 10.1038/s41598-022-05502-6. Sci Rep. 2022. PMID: 35087134 Free PMC article.

6

Discordant and heterogeneous clinically relevant genomic alterations in circulating tumor cells vs plasma DNA from men with metastatic castration resistant prostate cancer.

Gupta S, Hovelson DH, Kemeny G, Halabi S, Foo WC, Anand M, Somarelli JA, Tomlins SA, Antonarakis ES, Luo J, Dittamore RV, George DJ, Rothwell C, Nanus DM, Armstrong AJ, Gregory SG. Gupta S, et al. Genes Chromosomes Cancer. 2020 Apr;59(4):225-239. doi: 10.1002/gcc.22824. Epub 2019 Nov 28. Genes Chromosomes Cancer. 2020. PMID: 31705765 Free article.

7

Identification of genomic signatures in circulating tumor cells from breast cancer.

Kanwar N, Hu P, Bedard P, Clemons M, McCready D, Done SJ. Kanwar N, et al. Int J Cancer. 2015 Jul 15;137(2):332-44. doi: 10.1002/ijc.29399. Epub 2015 Jan 12. Int J Cancer. 2015. PMID: 25529931 Free article.

8

CNApp, a tool for the quantification of copy number alterations and integrative analysis revealing clinical implications.

Franch-Expósito S, Bassaganyas L, Vila-Casadesús M, Hernández-Illán E, Esteban-Fabró R, Díaz-Gay M, Lozano JJ, Castells A, Llovet JM, Castellví-Bel S, Camps J. Franch-Expósito S, et al. Elife. 2020 Jan 15;9:e50267. doi: 10.7554/eLife.50267. Elife. 2020. PMID: 31939734 Free PMC article.

9

Hierarchical discovery of large-scale and focal copy number alterations in low-coverage cancer genomes.

Khalil AIS, Khyriem C, Chattopadhyay A, Sanyal A. Khalil AIS, et al. BMC Bioinformatics. 2020 Apr 16;21(1):147. doi: 10.1186/s12859-020-3480-3. BMC Bioinformatics. 2020. PMID: 32299346 Free PMC article.

10

Molecular characterization of circulating tumor cells-from bench to bedside.

Li Y, Wu S, Bai F. Li Y, et al. Semin Cell Dev Biol. 2018 Mar;75:88-97. doi: 10.1016/j.semcdb.2017.09.013. Epub 2017 Sep 9. Semin Cell Dev Biol. 2018. PMID: 28899718 Review.

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