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. 1. Vall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Barcelona; Universitat Autònoma de Barcelona, Barcelona, Spain; Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, USA. 2. Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, USA. 3. Vall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Barcelona. 4. Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, USA; Department of Medical Oncology, Institut Curie, Paris, France. 5. Department of Pathology, Vall d'Hebron University Hospital, Barcelona, Spain. 6. Genentech, Inc., San Francisco. 7. Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA. 8. Vall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Barcelona; Universitat Autònoma de Barcelona, Barcelona, Spain. 9. Vall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Barcelona; Universitat Autònoma de Barcelona, Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain. 10. Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, USA. Electronic address: reisfilj@mskcc.org.
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.
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.
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
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
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
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
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
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
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
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
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 Journal: Oncogene Date: 2018-04-09 Impact factor: 9.867
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
Authors: Lorenzo Gerratana; Andrew A Davis; Ami N Shah; Chenyu Lin; Carla Corvaja; Massimo Cristofanilli Journal: Curr Treat Options Oncol Date: 2019-06-29
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