Association of Cell-Free DNA Tumor Fraction and Somatic Copy Number Alterations With Survival in Metastatic Triple-Negative Breast Cancer.

Purpose Cell-free DNA (cfDNA) offers the potential for minimally invasive genome-wide profiling of tumor alterations without tumor biopsy and may be associated with patient prognosis. Triple-negative breast cancer (TNBC) is characterized by few mutations but extensive somatic copy number alterations (SCNAs), yet little is known regarding SCNAs in metastatic TNBC. We sought to evaluate SCNAs in metastatic TNBC exclusively via cfDNA and determine if cfDNA tumor fraction is associated with overall survival in metastatic TNBC. Patients and Methods In this retrospective cohort study, we identified 164 patients with biopsy-proven metastatic TNBC at a single tertiary care institution who received prior chemotherapy in the (neo)adjuvant or metastatic setting. We performed low-coverage genome-wide sequencing of cfDNA from plasma. Results Without prior knowledge of tumor mutations, we determined tumor fraction of cfDNA for 96.3% of patients and SCNAs for 63.9% of patients. Copy number profiles and percent genome altered were remarkably similar between metastatic and primary TNBCs. Certain SCNAs were more frequent in metastatic TNBCs relative to paired primary tumors and primary TNBCs in publicly available data sets The Cancer Genome Atlas and METABRIC, including chromosomal gains in drivers NOTCH2, AKT2, and AKT3. Prespecified cfDNA tumor fraction threshold of ≥ 10% was associated with significantly worse metastatic survival (median, 6.4 v 15.9 months) and remained significant independent of clinicopathologic factors (hazard ratio, 2.14; 95% CI, 1.4 to 3.8; P < .001). Conclusion We present the largest genomic characterization of metastatic TNBC to our knowledge, exclusively from cfDNA. Evaluation of cfDNA tumor fraction was feasible for nearly all patients, and tumor fraction ≥ 10% is associated with significantly worse survival in this large metastatic TNBC cohort. Specific SCNAs are enriched and prognostic in metastatic TNBC, with implications for metastasis, resistance, and novel therapeutic approaches.

[1]  X. Chen,et al.  Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. , 2011, The Journal of clinical investigation.

[2]  C. Hudis,et al.  Triple-negative breast cancer: an unmet medical need. , 2011, The oncologist.

[3]  E Mardis,et al.  Predicting response and survival in chemotherapy-treated triple-negative breast cancer , 2014, British Journal of Cancer.

[4]  Cedric E. Ginestet ggplot2: Elegant Graphics for Data Analysis , 2011 .

[5]  Marian Harris,et al.  Institutional implementation of clinical tumor profiling on an unselected cancer population. , 2016, JCI insight.

[6]  S Michiels,et al.  Plasma circulating tumor DNA as an alternative to metastatic biopsies for mutational analysis in breast cancer. , 2014, Annals of oncology : official journal of the European Society for Medical Oncology.

[7]  J. Reis-Filho,et al.  Tackling the Diversity of Triple-Negative Breast Cancer , 2013, Clinical Cancer Research.

[8]  Benjamin E. Gross,et al.  The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. , 2012, Cancer discovery.

[9]  Jaana M. Hartikainen,et al.  Large-scale genotyping identifies 41 new loci associated with breast cancer risk , 2013, Nature Genetics.

[10]  Doron Lipson,et al.  Individualized Molecular Analyses Guide Efforts (IMAGE): A Prospective Study of Molecular Profiling of Tissue and Blood in Metastatic Triple-Negative Breast Cancer , 2016, Clinical Cancer Research.

[11]  Benjamin J. Raphael,et al.  Mutational landscape and significance across 12 major cancer types , 2013, Nature.

[12]  Z. Szallasi,et al.  Telomeric allelic imbalance indicates defective DNA repair and sensitivity to DNA-damaging agents. , 2012, Cancer discovery.

[13]  E. Winer,et al.  TBCRC009: A Multicenter Phase II Clinical Trial of Platinum Monotherapy With Biomarker Assessment in Metastatic Triple-Negative Breast Cancer. , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[14]  Funda Meric-Bernstam,et al.  Punctuated Copy Number Evolution and Clonal Stasis in Triple-Negative Breast Cancer , 2016, Nature Genetics.

[15]  C. Lefebvre,et al.  Mutational Profile of Metastatic Breast Cancers: A Retrospective Analysis , 2016, PLoS medicine.

[16]  J. Balko,et al.  Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease , 2016, Nature Reviews Clinical Oncology.

[17]  Peter Ulz,et al.  Detection of Circulating Tumor DNA in the Blood of Cancer Patients: An Important Tool in Cancer Chemoprevention. , 2016, Methods in molecular biology.

[18]  M. Dowsett,et al.  Analysis of ESR1 mutation in circulating tumor DNA demonstrates evolution during therapy for metastatic breast cancer , 2015, Science Translational Medicine.

[19]  A. Bashashati,et al.  Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer , 2012, Genome research.

[20]  Daniel F. Hayes,et al.  Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer , 2013 .

[21]  M. Dowsett,et al.  Plasma ESR1 Mutations and the Treatment of Estrogen Receptor-Positive Advanced Breast Cancer. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[22]  A. Nobel,et al.  Supervised risk predictor of breast cancer based on intrinsic subtypes. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[23]  Christopher A. Miller,et al.  Tumor Evolution in Two Patients with Basal-like Breast Cancer: A Retrospective Genomics Study of Multiple Metastases , 2016, PLoS medicine.

[24]  Carlos Caldas,et al.  A new genome‐driven integrated classification of breast cancer and its implications , 2013, The EMBO journal.

[25]  Peter Ulz,et al.  The dynamic range of circulating tumor DNA in metastatic breast cancer , 2014, Breast Cancer Research.

[26]  Obi L. Griffith,et al.  GenVisR: Genomic Visualizations in R , 2016, bioRxiv.

[27]  Harold L. Moses,et al.  Refinement of Triple-Negative Breast Cancer Molecular Subtypes: Implications for Neoadjuvant Chemotherapy Selection , 2016, PloS one.

[28]  Mariano Provencio,et al.  Tumor DNA in plasma at diagnosis of breast cancer patients is a valuable predictor of disease-free survival. , 2002, Clinical cancer research : an official journal of the American Association for Cancer Research.

[29]  Sue Chua,et al.  High-Level Clonal FGFR Amplification and Response to FGFR Inhibition in a Translational Clinical Trial. , 2016, Cancer discovery.

[30]  R. Yelensky,et al.  Molecular profiling of the residual disease of triple-negative breast cancers after neoadjuvant chemotherapy identifies actionable therapeutic targets. , 2014, Cancer discovery.

[31]  S. Merajver,et al.  Comparative analysis of circulating tumor DNA stability In K3EDTA, Streck, and CellSave blood collection tubes. , 2016, Clinical biochemistry.

[32]  Stefanie A. Mortimer,et al.  Abstract B140: Genomic profiling of over 5,000 consecutive cancer patients with a CLIA-certified cell-free DNA NGS test: Analytic and clinical validity and utility , 2015 .

[33]  N. Rosenfeld,et al.  Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA , 2013, Nature.

[34]  Steven J. M. Jones,et al.  Comprehensive molecular portraits of human breast tumors , 2012, Nature.

[35]  Francisco M. De La Vega,et al.  Genome and Transcriptome Sequencing in Prospective Metastatic Triple-Negative Breast Cancer Uncovers Therapeutic Vulnerabilities , 2012, Molecular Cancer Therapeutics.

[36]  Ben H. Park,et al.  Detection of Tumor PIK3CA Status in Metastatic Breast Cancer Using Peripheral Blood , 2012, Clinical Cancer Research.

[37]  Jorge S. Reis-Filho,et al.  Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer , 2015, Science Translational Medicine.

[38]  Christiana Kartsonaki,et al.  A locus on 19p13 modifies risk of breast cancer in BRCA1 mutation carriers and is associated with hormone receptor–negative breast cancer in the general population , 2010, Nature Genetics.

[39]  Benjamin E. Gross,et al.  Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal , 2013, Science Signaling.

[40]  P. Brown,et al.  Epidemiology, biology, and treatment of triple-negative breast cancer in women of African ancestry. , 2014, The Lancet. Oncology.

[41]  Nikhil Wagle,et al.  Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors , 2017, Nature Communications.

[42]  E. Winer,et al.  Phase II and Biomarker Study of Cabozantinib in Metastatic Triple‐Negative Breast Cancer Patients , 2016, The oncologist.

[43]  Thomas Bachelot,et al.  Comparative genomic hybridisation array and DNA sequencing to direct treatment of metastatic breast cancer: a multicentre, prospective trial (SAFIR01/UNICANCER). , 2014, The Lancet. Oncology.

[44]  Tom Sante,et al.  Shallow Whole Genome Sequencing on Circulating Cell-Free DNA Allows Reliable Noninvasive Copy-Number Profiling in Neuroblastoma Patients , 2017, Clinical Cancer Research.

[45]  G. Getz,et al.  GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers , 2011, Genome Biology.

[46]  L. Pusztai,et al.  Predictors of Chemosensitivity in Triple Negative Breast Cancer: An Integrated Genomic Analysis , 2016, PLoS medicine.

[47]  Jane E. Carpenter,et al.  Common breast cancer susceptibility loci are associated with triple-negative breast cancer. , 2011, Cancer research.

[48]  Gordon B Mills,et al.  Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancer , 2014, Clinical Cancer Research.

[49]  C. Sotiriou,et al.  Transfer of clinically relevant gene expression signatures in breast cancer: from Affymetrix microarray to Illumina RNA-Sequencing technology , 2014, BMC Genomics.

[50]  F. Markowetz,et al.  The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups , 2012, Nature.

[51]  Minetta C. Liu,et al.  Circulating Tumor Cell Analysis in Metastatic Triple-Negative Breast Cancers , 2014, Clinical Cancer Research.

[52]  R. Cress,et al.  Descriptive analysis of estrogen receptor (ER)‐negative, progesterone receptor (PR)‐negative, and HER2‐negative invasive breast cancer, the so‐called triple‐negative phenotype , 2007, Cancer.

[53]  L. Carey,et al.  Triple-negative breast cancer: disease entity or title of convenience? , 2010, Nature Reviews Clinical Oncology.

[54]  N. Rosenfeld,et al.  Noninvasive Identification and Monitoring of Cancer Mutations by Targeted Deep Sequencing of Plasma DNA , 2012, Science Translational Medicine.

[55]  Peter Ulz,et al.  Whole-genome plasma sequencing reveals focal amplifications as a driving force in metastatic prostate cancer , 2016, Nature Communications.

[56]  Irmtraud M. Meyer,et al.  The clonal and mutational evolution spectrum of primary triple-negative breast cancers , 2012, Nature.

[57]  Sarika Jain,et al.  Concordance of Genomic Alterations by Next-Generation Sequencing in Tumor Tissue versus Circulating Tumor DNA in Breast Cancer , 2017, Molecular Cancer Therapeutics.

[58]  Derek Y. Chiang,et al.  The landscape of somatic copy-number alteration across human cancers , 2010, Nature.