Literature DB >> 22645183

Cell lineage analysis of acute leukemia relapse uncovers the role of replication-rate heterogeneity and microsatellite instability.

Liran I Shlush1, Noa Chapal-Ilani, Rivka Adar, Neta Pery, Yosef Maruvka, Adam Spiro, Roni Shouval, Jacob M Rowe, Maty Tzukerman, Dani Bercovich, Shai Izraeli, Guido Marcucci, Clara D Bloomfield, Tsila Zuckerman, Karl Skorecki, Ehud Shapiro.   

Abstract

Human cancers display substantial intratumoral genetic heterogeneity, which facilitates tumor survival under changing microenvironmental conditions. Tumor substructure and its effect on disease progression and relapse are incompletely understood. In the present study, a high-throughput method that uses neutral somatic mutations accumulated in individual cells to reconstruct cell lineage trees was applied to hundreds of cells of human acute leukemia harvested from multiple patients at diagnosis and at relapse. The reconstructed cell lineage trees of patients with acute myeloid leukemia showed that leukemia cells at relapse were shallow (divide rarely) compared with cells at diagnosis and were closely related to their stem cell subpopulation, implying that in these instances relapse might have originated from rarely dividing stem cells. In contrast, among patients with acute lymphoid leukemia, no differences in cell depth were observed between diagnosis and relapse. In one case of chronic myeloid leukemia, at blast crisis, most of the cells at relapse were mismatch-repair deficient. In almost all leukemia cases, > 1 lineage was observed at relapse, indicating that diverse mechanisms can promote relapse in the same patient. In conclusion, diverse relapse mechanisms can be observed by systematic reconstruction of cell lineage trees of patients with leukemia.

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Year:  2012        PMID: 22645183     DOI: 10.1182/blood-2011-10-388629

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  30 in total

1.  Quantitative Analysis of Synthetic Cell Lineage Tracing Using Nuclease Barcoding.

Authors:  Stephanie Tzouanas Schmidt; Stephanie M Zimmerman; Jianbin Wang; Stuart K Kim; Stephen R Quake
Journal:  ACS Synth Biol       Date:  2017-03-10       Impact factor: 5.110

Review 2.  Single-cell sequencing-based technologies will revolutionize whole-organism science.

Authors:  Ehud Shapiro; Tamir Biezuner; Sten Linnarsson
Journal:  Nat Rev Genet       Date:  2013-07-30       Impact factor: 53.242

Review 3.  The evolution of tumour phylogenetics: principles and practice.

Authors:  Russell Schwartz; Alejandro A Schäffer
Journal:  Nat Rev Genet       Date:  2017-02-13       Impact factor: 53.242

4.  Microsatellite Instability Occurs in a Subset of Follicular Thyroid Cancers.

Authors:  Luke K Genutis; Jerneja Tomsic; Ralf A Bundschuh; Pamela L Brock; Michelle D Williams; Sameek Roychowdhury; Julie W Reeser; Wendy L Frankel; Mohammed Alsomali; Mark J Routbort; Russell R Broaddus; Paul E Wakely; John E Phay; Christopher J Walker; Albert de la Chapelle
Journal:  Thyroid       Date:  2019-03-27       Impact factor: 6.568

5.  Functional heterogeneity of genetically defined subclones in acute myeloid leukemia.

Authors:  Jeffery M Klco; David H Spencer; Christopher A Miller; Malachi Griffith; Tamara L Lamprecht; Michelle O'Laughlin; Catrina Fronick; Vincent Magrini; Ryan T Demeter; Robert S Fulton; William C Eades; Daniel C Link; Timothy A Graubert; Matthew J Walter; Elaine R Mardis; John F Dipersio; Richard K Wilson; Timothy J Ley
Journal:  Cancer Cell       Date:  2014-03-06       Impact factor: 31.743

6.  Classifying the Progression of Ductal Carcinoma from Single-Cell Sampled Data via Integer Linear Programming: A Case Study.

Authors:  Daniele Catanzaro; Stanley E Shackney; Alejandro A Schaffer; Russell Schwartz
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2015-09-04       Impact factor: 3.710

7.  Dissecting genomic diversity, one cell at a time.

Authors:  Paul C Blainey; Stephen R Quake
Journal:  Nat Methods       Date:  2014-01       Impact factor: 28.547

Review 8.  Theory and Practice of Lineage Tracing.

Authors:  Ya-Chieh Hsu
Journal:  Stem Cells       Date:  2015-08-18       Impact factor: 6.277

Review 9.  Aging, clonal hematopoiesis and preleukemia: not just bad luck?

Authors:  Liran I Shlush; Sasan Zandi; Shalev Itzkovitz; Andre C Schuh
Journal:  Int J Hematol       Date:  2015-10-06       Impact factor: 2.490

10.  Comparing algorithms that reconstruct cell lineage trees utilizing information on microsatellite mutations.

Authors:  Noa Chapal-Ilani; Yosef E Maruvka; Adam Spiro; Yitzhak Reizel; Rivka Adar; Liran I Shlush; Ehud Shapiro
Journal:  PLoS Comput Biol       Date:  2013-11-14       Impact factor: 4.475

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