Literature DB >> 25009010

Capturing intra-tumor genetic heterogeneity by de novo mutation profiling of circulating cell-free tumor DNA: a proof-of-principle.

L De Mattos-Arruda1, B Weigelt2, J Cortes3, H H Won2, C K Y Ng2, P Nuciforo3, F-C Bidard4, C Aura3, C Saura3, V Peg5, S Piscuoglio2, M Oliveira3, Y Smolders2, P Patel6, L Norton7, J Tabernero8, M F Berger2, J Seoane9, J S Reis-Filho10.   

Abstract

BACKGROUND: Plasma-derived cell-free tumor DNA (ctDNA) constitutes a potential surrogate for tumor DNA obtained from tissue biopsies. We posit that massively parallel sequencing (MPS) analysis of ctDNA may help define the repertoire of mutations in breast cancer and monitor tumor somatic alterations during the course of targeted therapy. PATIENT AND METHODS: A 66-year-old patient presented with synchronous estrogen receptor-positive/HER2-negative, highly proliferative, grade 2, mixed invasive ductal-lobular carcinoma with bone and liver metastases at diagnosis. DNA extracted from archival tumor material, plasma and peripheral blood leukocytes was subjected to targeted MPS using a platform comprising 300 cancer genes known to harbor actionable mutations. Multiple plasma samples were collected during the fourth line of treatment with an AKT inhibitor.
RESULTS: Average read depths of 287x were obtained from the archival primary tumor, 139x from the liver metastasis and between 200x and 900x from ctDNA samples. Sixteen somatic non-synonymous mutations were detected in the liver metastasis, of which 9 (CDKN2A, AKT1, TP53, JAK3, TSC1, NF1, CDH1, MML3 and CTNNB1) were also detected in >5% of the alleles found in the primary tumor sample. Not all mutations identified in the metastasis were reliably identified in the primary tumor (e.g. FLT4). Analysis of ctDNA, nevertheless, captured all mutations present in the primary tumor and/or liver metastasis. In the longitudinal monitoring of the patient, the mutant allele fractions identified in ctDNA samples varied over time and mirrored the pharmacodynamic response to the targeted therapy as assessed by positron emission tomography-computed tomography.
CONCLUSIONS: This proof-of-principle study is one of the first to demonstrate that high-depth targeted MPS of plasma-derived ctDNA constitutes a potential tool for de novo mutation identification and monitoring of somatic genetic alterations during the course of targeted therapy, and may be employed to overcome the challenges posed by intra-tumor genetic heterogeneity. REGISTERED CLINICAL TRIAL: www.clinicaltrials.gov, NCT01090960.
© The Author 2014. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  breast cancer; cell-free tumor DNA; disease monitoring; intra-tumor heterogeneity; massively parallel sequencing

Mesh:

Substances:

Year:  2014        PMID: 25009010      PMCID: PMC6276937          DOI: 10.1093/annonc/mdu239

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  31 in total

1.  The clonal and mutational evolution spectrum of primary triple-negative breast cancers.

Authors:  Sohrab P Shah; Andrew Roth; Rodrigo Goya; Arusha Oloumi; Gavin Ha; Yongjun Zhao; Gulisa Turashvili; Jiarui Ding; Kane Tse; Gholamreza Haffari; Ali Bashashati; Leah M Prentice; Jaswinder Khattra; Angela Burleigh; Damian Yap; Virginie Bernard; Andrew McPherson; Karey Shumansky; Anamaria Crisan; Ryan Giuliany; Alireza Heravi-Moussavi; Jamie Rosner; Daniel Lai; Inanc Birol; Richard Varhol; Angela Tam; Noreen Dhalla; Thomas Zeng; Kevin Ma; Simon K Chan; Malachi Griffith; Annie Moradian; S-W Grace Cheng; Gregg B Morin; Peter Watson; Karen Gelmon; Stephen Chia; Suet-Feung Chin; Christina Curtis; Oscar M Rueda; Paul D Pharoah; Sambasivarao Damaraju; John Mackey; Kelly Hoon; Timothy Harkins; Vasisht Tadigotla; Mahvash Sigaroudinia; Philippe Gascard; Thea Tlsty; Joseph F Costello; Irmtraud M Meyer; Connie J Eaves; Wyeth W Wasserman; Steven Jones; David Huntsman; Martin Hirst; Carlos Caldas; Marco A Marra; Samuel Aparicio
Journal:  Nature       Date:  2012-04-04       Impact factor: 49.962

2.  Tumour evolution inferred by single-cell sequencing.

Authors:  Nicholas Navin; Jude Kendall; Jennifer Troge; Peter Andrews; Linda Rodgers; Jeanne McIndoo; Kerry Cook; Asya Stepansky; Dan Levy; Diane Esposito; Lakshmi Muthuswamy; Alex Krasnitz; W Richard McCombie; James Hicks; Michael Wigler
Journal:  Nature       Date:  2011-03-13       Impact factor: 49.962

3.  Cancer genome scanning in plasma: detection of tumor-associated copy number aberrations, single-nucleotide variants, and tumoral heterogeneity by massively parallel sequencing.

Authors:  K C Allen Chan; Peiyong Jiang; Yama W L Zheng; Gary J W Liao; Hao Sun; John Wong; Shing Shun N Siu; Wing C Chan; Stephen L Chan; Anthony T C Chan; Paul B S Lai; Rossa W K Chiu; Y M D Lo
Journal:  Clin Chem       Date:  2012-10-11       Impact factor: 8.327

4.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

5.  Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA.

Authors:  Muhammed Murtaza; Sarah-Jane Dawson; Dana W Y Tsui; Davina Gale; Tim Forshew; Anna M Piskorz; Christine Parkinson; Suet-Feung Chin; Zoya Kingsbury; Alvin S C Wong; Francesco Marass; Sean Humphray; James Hadfield; David Bentley; Tan Min Chin; James D Brenton; Carlos Caldas; Nitzan Rosenfeld
Journal:  Nature       Date:  2013-04-07       Impact factor: 49.962

6.  Going with the flow: from circulating tumor cells to DNA.

Authors:  Francois-Clement Bidard; Britta Weigelt; Jorge S Reis-Filho
Journal:  Sci Transl Med       Date:  2013-10-16       Impact factor: 17.956

Review 7.  Intratumor heterogeneity: evolution through space and time.

Authors:  Charles Swanton
Journal:  Cancer Res       Date:  2012-09-20       Impact factor: 12.701

8.  Integrative genomics viewer.

Authors:  James T Robinson; Helga Thorvaldsdóttir; Wendy Winckler; Mitchell Guttman; Eric S Lander; Gad Getz; Jill P Mesirov
Journal:  Nat Biotechnol       Date:  2011-01       Impact factor: 54.908

9.  Molecular analysis reveals a genetic basis for the phenotypic diversity of metaplastic breast carcinomas.

Authors:  Felipe C Geyer; Britta Weigelt; Rachael Natrajan; Maryou B K Lambros; Dario de Biase; Radost Vatcheva; Kay Savage; Alan Mackay; Alan Ashworth; Jorge S Reis-Filho
Journal:  J Pathol       Date:  2010-04       Impact factor: 7.996

10.  Single cell profiling of circulating tumor cells: transcriptional heterogeneity and diversity from breast cancer cell lines.

Authors:  Ashley A Powell; Amirali H Talasaz; Haiyu Zhang; Marc A Coram; Anupama Reddy; Glenn Deng; Melinda L Telli; Ranjana H Advani; Robert W Carlson; Joseph A Mollick; Shruti Sheth; Allison W Kurian; James M Ford; Frank E Stockdale; Stephen R Quake; R Fabian Pease; Michael N Mindrinos; Gyan Bhanot; Shanaz H Dairkee; Ronald W Davis; Stefanie S Jeffrey
Journal:  PLoS One       Date:  2012-05-07       Impact factor: 3.240

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  144 in total

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2.  The genetic landscape of endometrial clear cell carcinomas.

Authors:  Deborah F DeLair; Kathleen A Burke; Pier Selenica; Raymond S Lim; Sasinya N Scott; Sumit Middha; Abhinita S Mohanty; Donavan T Cheng; Michael F Berger; Robert A Soslow; Britta Weigelt
Journal:  J Pathol       Date:  2017-09-05       Impact factor: 7.996

3.  A pilot study of ultra-deep targeted sequencing of plasma DNA identifies driver mutations in hepatocellular carcinoma.

Authors:  Ismail Labgaa; Carlos Villacorta-Martin; Delia D'Avola; Amanda J Craig; Johann von Felden; Sebastiao N Martins-Filho; Daniela Sia; Ashley Stueck; Stephen C Ward; M Isabel Fiel; Milind Mahajan; Parissa Tabrizian; Swan N Thung; Celina Ang; Scott L Friedman; Josep M Llovet; Myron Schwartz; Augusto Villanueva
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Review 4.  Circulating cell-free DNA for non-invasive cancer management.

Authors:  Caitlin M Stewart; Dana W Y Tsui
Journal:  Cancer Genet       Date:  2018-03-11

5.  Clinically Observed Estrogen Receptor Alpha Mutations within the Ligand-Binding Domain Confer Distinguishable Phenotypes.

Authors:  Shanhang Jia; Mark T Miedel; Marilyn Ngo; Ryan Hessenius; Ning Chen; Peilu Wang; Amir Bahreini; Zheqi Li; Zhijie Ding; Tong Ying Shun; Daniel M Zuckerman; D Lansing Taylor; Shannon L Puhalla; Adrian V Lee; Steffi Oesterreich; Andrew M Stern
Journal:  Oncology       Date:  2018-01-06       Impact factor: 2.935

Review 6.  Precision medicine for advanced prostate cancer.

Authors:  Stephanie A Mullane; Eliezer M Van Allen
Journal:  Curr Opin Urol       Date:  2016-05       Impact factor: 2.309

Review 7.  Precision medicine for metastatic breast cancer--limitations and solutions.

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Journal:  Nat Rev Clin Oncol       Date:  2015-07-21       Impact factor: 66.675

Review 8.  Emerging Role of Genomics and Cell-Free DNA in Breast Cancer.

Authors:  Lorenzo Gerratana; Andrew A Davis; Ami N Shah; Chenyu Lin; Carla Corvaja; Massimo Cristofanilli
Journal:  Curr Treat Options Oncol       Date:  2019-06-29

9.  The state of the art in prediction of breast cancer relapse using cell-free circulating tumor DNA liquid biopsies.

Authors:  Niklas Loman; Lao H Saal
Journal:  Ann Transl Med       Date:  2016-10

10.  Structurally Novel Antiestrogens Elicit Differential Responses from Constitutively Active Mutant Estrogen Receptors in Breast Cancer Cells and Tumors.

Authors:  Yuechao Zhao; Mary J Laws; Valeria Sanabria Guillen; Yvonne Ziegler; Jian Min; Abhishek Sharma; Sung Hoon Kim; David Chu; Ben Ho Park; Steffi Oesterreich; Chengjian Mao; David J Shapiro; Kendall W Nettles; John A Katzenellenbogen; Benita S Katzenellenbogen
Journal:  Cancer Res       Date:  2017-09-13       Impact factor: 12.701

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