Ultra-deep sequencing detects ovarian cancer cells in peritoneal fluid and reveals somatic TP53 mutations in noncancerous tissues

Significance The detection of rare tumor-specific somatic mutations in “liquid biopsies” is limited by the high error rate of DNA sequencing technologies. By sequencing peritoneal fluid from women with high-grade serous ovarian cancer, we demonstrate that duplex sequencing, currently the most accurate sequencing technology, is able to detect one cancer cell among tens of thousands of normal cells. This unprecedented sensitivity also revealed a striking prevalence of extremely low frequency TP53 mutations in normal tissue. Women with and without cancer harbored TP53 mutations of pathogenic consequences, both in peritoneal fluid and peripheral blood. These mutations likely represent a premalignant mutational background that accumulates in cancer and aging. Current sequencing methods are error-prone, which precludes the identification of low frequency mutations for early cancer detection. Duplex sequencing is a sequencing technology that decreases errors by scoring mutations present only in both strands of DNA. Our aim was to determine whether duplex sequencing could detect extremely rare cancer cells present in peritoneal fluid from women with high-grade serous ovarian carcinomas (HGSOCs). These aggressive cancers are typically diagnosed at a late stage and are characterized by TP53 mutations and peritoneal dissemination. We used duplex sequencing to analyze TP53 mutations in 17 peritoneal fluid samples from women with HGSOC and 20 from women without cancer. The tumor TP53 mutation was detected in 94% (16/17) of peritoneal fluid samples from women with HGSOC (frequency as low as 1 mutant per 24,736 normal genomes). Additionally, we detected extremely low frequency TP53 mutations (median mutant fraction 1/13,139) in peritoneal fluid from nearly all patients with and without cancer (35/37). These mutations were mostly deleterious, clustered in hotspots, increased with age, and were more abundant in women with cancer than in controls. The total burden of TP53 mutations in peritoneal fluid distinguished cancers from controls with 82% sensitivity (14/17) and 90% specificity (18/20). Age-associated, low frequency TP53 mutations were also found in 100% of peripheral blood samples from 15 women with and without ovarian cancer (none with hematologic disorder). Our results demonstrate the ability of duplex sequencing to detect rare cancer cells and provide evidence of widespread, low frequency, age-associated somatic TP53 mutation in noncancerous tissue.

[1]  I. Shih,et al.  Molecular Alterations of TP53 are a Defining Feature of Ovarian High-Grade Serous Carcinoma: A Rereview of Cases Lacking TP53 Mutations in The Cancer Genome Atlas Ovarian Study , 2016, International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists.

[2]  K. Kinzler,et al.  Lavage of the Uterine Cavity for Molecular Detection of Müllerian Duct Carcinomas: A Proof-of-Concept Study , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[3]  M. Stratton,et al.  Clock-like mutational processes in human somatic cells , 2015, Nature Genetics.

[4]  P. Campbell,et al.  Somatic mutation in cancer and normal cells , 2015, Science.

[5]  J. Ptak,et al.  Detection of tumor-derived DNA in cerebrospinal fluid of patients with primary tumors of the brain and spinal cord , 2015, Proceedings of the National Academy of Sciences.

[6]  K. Kinzler,et al.  Detection of somatic mutations and HPV in the saliva and plasma of patients with head and neck squamous cell carcinomas , 2015, Science Translational Medicine.

[7]  M. Stratton,et al.  High burden and pervasive positive selection of somatic mutations in normal human skin , 2015, Science.

[8]  Lawrence D True,et al.  Sequencing small genomic targets with high efficiency and extreme accuracy , 2015, Nature Methods.

[9]  J. Dumanski,et al.  Detection of leukemia-associated mutations in peripheral blood DNA of hematologically normal elderly individuals , 2015, Leukemia.

[10]  M. McCarthy,et al.  Age-related clonal hematopoiesis associated with adverse outcomes. , 2014, The New England journal of medicine.

[11]  Christopher A. Miller,et al.  The Role of TP53 Mutations in the Origin and Evolution of Therapy-Related AML , 2014, Nature.

[12]  S. Gabriel,et al.  Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence. , 2014, The New England journal of medicine.

[13]  Brendan F. Kohrn,et al.  Detecting ultralow-frequency mutations by Duplex Sequencing , 2014, Nature Protocols.

[14]  M. Emond,et al.  Accuracy of Next Generation Sequencing Platforms. , 2014, Next generation, sequencing & applications.

[15]  M. Choti,et al.  Detection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies , 2014, Science Translational Medicine.

[16]  Jaime Prat,et al.  Staging classification for cancer of the ovary, fallopian tube, and peritoneum , 2014, International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics.

[17]  David T. W. Jones,et al.  Signatures of mutational processes in human cancer , 2013, Nature.

[18]  S. Kaye,et al.  Meeting the challenge of ascites in ovarian cancer: new avenues for therapy and research , 2013, Nature Reviews Cancer.

[19]  K. Kinzler,et al.  Evaluation of DNA from the Papanicolaou Test to Detect Ovarian and Endometrial Cancers , 2013, Science Translational Medicine.

[20]  Jesse J. Salk,et al.  Detection of ultra-rare mutations by next-generation sequencing , 2012, Proceedings of the National Academy of Sciences.

[21]  William Wheeler,et al.  Detectable clonal mosaicism and its relationship to aging and cancer , 2012, Nature Genetics.

[22]  I. Shih,et al.  TP53 mutations in serous tubal intraepithelial carcinoma and concurrent pelvic high‐grade serous carcinoma—evidence supporting the clonal relationship of the two lesions , 2012, The Journal of pathology.

[23]  Rochelle L. Garcia,et al.  Mutations in 12 genes for inherited ovarian, fallopian tube, and peritoneal carcinoma identified by massively parallel sequencing , 2011, Proceedings of the National Academy of Sciences.

[24]  L. Loeb,et al.  Human cancers express mutator phenotypes: origin, consequences and targeting , 2011, Nature Reviews Cancer.

[25]  Benjamin J. Raphael,et al.  Integrated Genomic Analyses of Ovarian Carcinoma , 2011, Nature.

[26]  K. Kinzler,et al.  Detection and quantification of rare mutations with massively parallel sequencing , 2011, Proceedings of the National Academy of Sciences.

[27]  Rochelle L. Garcia,et al.  The molecular pathogenesis of hereditary ovarian carcinoma , 2010, Cancer.

[28]  Jean Louis Fournier,et al.  MUT‐TP53 2.0: a novel versatile matrix for statistical analysis of TP53 mutations in human cancer a , 2010, Human mutation.

[29]  Ie-Ming Shih,et al.  The Origin and Pathogenesis of Epithelial Ovarian Cancer: A Proposed Unifying Theory , 2010, The American journal of surgical pathology.

[30]  D. Badgwell,et al.  Early Detection of Ovarian Cancer , 2007, Disease markers.

[31]  M. Olivier,et al.  Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database , 2007, Human mutation.

[32]  A. Børresen-Dale,et al.  TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomes , 2007, Oncogene.

[33]  R. Berkowitz,et al.  Intraepithelial Carcinoma of the Fimbria and Pelvic Serous Carcinoma: Evidence for a Causal Relationship , 2007, The American journal of surgical pathology.

[34]  Rochelle L. Garcia,et al.  Tumor-specific p53 sequences in blood and peritoneal fluid of women with epithelial ovarian cancer. , 2005, American journal of obstetrics and gynecology.

[35]  Figo Guidelines Staging classification for cancer of the ovary, fallopian tube, and peritoneum☆ , 2013 .

[36]  M. D. Post,et al.  Are All Pelvic (Nonuterine) Serous Carcinomas of Tubal Origin , 2011 .