Individualized Cell-Free DNA Monitoring With Chromosomal Junctions for Mesothelioma.

Introduction: The spatially complex nature of mesothelioma and interventions like pleurodesis, surgery, and radiation often complicate imaging-based assessment. Further, cell-free DNA (cfDNA) based monitoring strategies are inadequate for mesothelioma, given the presence of a few recurring nonsynonymous somatic variants. However, patient-specific chromosomal rearrangements are commonly found in mesothelioma.

Epigenomics may begin to explain differential response to hypomethylating agents in MMR-D hypermethylated endometrial cancer.

This work examines differences in chromatin accessibility, methylation, and response to DNA hypomethylating agents between mismatch repair-deficient and non-mismatch repair-deficient endometrial cancer. Next-generation sequencing of a stage 1B, grade 2 endometrioid endometrial cancer tumor revealed microsatellite instability and a variant of unknown significance in along with global and hypermethylation. Inhibition of viability by decitabine in the study and comparison tumors was minimal, as shown by an inhibitory effect of 0 and 17.

Mate-pair sequencing identifies a cryptic mutation in hereditary pulmonary arterial hypertension.

Current guidelines suggest screening all patients with idiopathic pulmonary arterial hypertension for genetic aberrations, particularly mutations in Bone Morphogenic Protein Receptor Type II (), the gene most commonly implicated in the pathogenesis of PAH. Herein, we present a novel technique used to identify a pathogenic germline alteration in a 36-year-old female and family members with hereditary pulmonary arterial hypertension who each screened negative by standard cytogenetics and molecular genetics testing.

Personalized tumor-specific DNA junctions to detect circulating tumor in patients with endometrial cancer.

Introduction: There are no reliable blood biomarkers for monitoring endometrial cancer patients in the current clinical practice. Circulating tumor DNA (ctDNA) is emerging as a promising non-invasive method to measure tumor burden, define prognosis and monitor disease status in many solid cancers. In this pilot study, we investigated if unique tumor-specific DNA junctions can be used to detect ctDNA levels in patients with endometrial cancer.

Theragnostic chromosomal rearrangements in treatment-naive pancreatic ductal adenocarcinomas obtained via endoscopic ultrasound.

A crucial mutational mechanism in malignancy is structural variation, in which chromosomal rearrangements alter gene functions that drive cancer progression. Herein, the presence and pattern of structural variations were investigated in twelve prospectively acquired treatment-naïve pancreatic cancers specimens obtained via endoscopic ultrasound (EUS). In many patients, this diagnostic biopsy procedure and specimen is the only opportunity to identify somatic clinically relevant actionable alterations that may impact their care and outcome.

Chromosomal Junction Detection from Whole-Genome Sequencing on Formalin-Fixed, Paraffin-Embedded Tumors.

DNA junctions (DNAJs) frequently impact clinically relevant genes in tumors and are important for diagnostic and therapeutic purposes. Although routinely screened through fluorescence in situ hybridization assays, such testing only allows the interrogation of single-gene regions or known fusion partners. Comprehensive assessment of DNAJs present across the entire genome can only be determined from whole-genome sequencing.

Optimizing clinical cytology touch preparations for next generation sequencing.

Intraoperative diagnosis is routinely performed on cytology touch preparations (TPs) from core needle biopsies (CNBs). Current interest promotes their utility as an important source of patient tissue for clinical genomic testing. Herein we present whole genome structural variant analysis (SVA) from mate-pair sequencing (MPseq) and whole exome sequencing (WES) mutation calling in DNA directly whole genome amplified (WGA) from TPs.

Integration of Comprehensive Genomic Analysis and Functional Screening of Affected Molecular Pathways to Inform Cancer Therapy.

Objective: To select optimal therapies based on the detection of actionable genomic alterations in tumor samples is a major challenge in precision medicine.

Methods: We describe an effective process (opened December 1, 2017) that combines comprehensive genomic and transcriptomic tumor profiling, custom algorithms and visualization software for data integration, and preclinical 3-dimensiona ex vivo models for drug screening to assess response to therapeutic agents targeting specific genomic alterations. The process was applied to a patient with widely metastatic, weakly hormone receptor positive, HER2 nonamplified, infiltrating lobular breast cancer refractory to standard therapy.

Shared and unique genomic structural variants of different histological components within testicular germ cell tumours identified with mate pair sequencing.

Post-pubertal testicular germ-cell tumours (TGCTs) can present with a variety of distinct histologies which are nevertheless lineage related and often co-occurring. The exact lineage relationships and developmental pathways leading to the different histologies is debated. In order to investigate the relationship of histologic populations, mate-pair sequencing (MPseq) and exome sequencing (ExomeSeq) were conducted on different histological populations within the same tumour.

Large Chromosomal Rearrangements Yield Biomarkers to Distinguish Low-Risk From Intermediate- and High-Risk Prostate Cancer.

Objective: To test the hypothesis that chromosomal rearrangements (CRs) can distinguish low risk of progression (LRP) from intermediate and high risk of progression (IHRP) to prostate cancer (PCa) and if these CRs have the potential to identify men with LRP on needle biopsy that harbor IHRP PCa in the prostate gland.

Patients And Methods: Mate pair sequencing of amplified DNA from pure populations of Gleason patterns in 154 frozen specimens from 126 patients obtained between August 14, 2001, and July 15, 2011, was used to detect CRs including abnormal junctions and copy number variations. Potential CR biomarkers with higher incidence in IHRP than in LRP to cancer and having significance in PCa biology were identified.

Targeting HER2 in patient-derived xenograft ovarian cancer models sensitizes tumors to chemotherapy.

Ovarian cancer is the most lethal gynecologic malignancy. About 75% of ovarian cancer patients relapse and/or develop chemo-resistant disease after initial response to standard-of-care treatment with platinum-based therapies. HER2 amplifications and overexpression in ovarian cancer are reported to vary, and responses to HER2 inhibitors have been poor.

Neoantigenic Potential of Complex Chromosomal Rearrangements in Mesothelioma.

Introduction: Malignant pleural mesothelioma is a disease primarily associated with exposure to the carcinogen asbestos. Whereas other carcinogen-related tumors are associated with a high tumor mutation burden, mesothelioma is not. We sought to resolve this discrepancy.

SVAtools for junction detection of genome-wide chromosomal rearrangements by mate-pair sequencing (MPseq).

Mate-pair sequencing (MPseq), using long-insert, paired-end genomic libraries, is a powerful next-generation sequencing-based approach for the detection of genomic structural variants. SVAtools is a set of algorithms to detect both chromosomal rearrangements and large (>10 kb) copy number variants (CNVs) in genome-wide MPseq data. SVAtools can also predict gene disruptions and gene fusions, and characterize the genomic structure of complex rearrangements.

Quantification of Somatic Chromosomal Rearrangements in Circulating Cell-Free DNA from Ovarian Cancers.

Recently, the use of a liquid biopsy has shown promise in monitoring tumor burden. While point mutations have been extensively studied, chromosomal rearrangements have demonstrated greater tumor specificity. Such rearrangements can be identified in the tumor and subsequently detected in the plasma of patients using quantitative PCR (qPCR).

Integrated Genomic Analysis of Pancreatic Ductal Adenocarcinomas Reveals Genomic Rearrangement Events as Significant Drivers of Disease.

Many somatic mutations have been detected in pancreatic ductal adenocarcinoma (PDAC), leading to the identification of some key drivers of disease progression, but the involvement of large genomic rearrangements has often been overlooked. In this study, we performed mate pair sequencing (MPseq) on genomic DNA from 24 PDAC tumors, including 15 laser-captured microdissected PDAC and 9 patient-derived xenografts, to identify genome-wide rearrangements. Large genomic rearrangements with intragenic breakpoints altering key regulatory genes involved in PDAC progression were detected in all tumors.

Integrated analysis of the genomic instability of PTEN in clinically insignificant and significant prostate cancer.

Patients with clinically insignificant prostate cancer remain a major over-treated population. PTEN loss is one of the most recurrent alterations in prostate cancer associated with an aggressive phenotype, however, the occurrence of PTEN loss in insignificant prostate cancer has not been reported and its role in the separation of insignificant from significant prostate cancer is unclear. An integrated analysis of PTEN loss was, therefore, performed for structural variations, point mutations and protein expression in clinically insignificant (48 cases) and significant (76 cases) prostate cancers treated by radical prostatectomy.

Identification of independent primary tumors and intrapulmonary metastases using DNA rearrangements in non-small-cell lung cancer.

Purpose: Distinguishing independent primary tumors from intrapulmonary metastases in non-small-cell carcinoma remains a clinical dilemma with significant clinical implications. Using next-generation DNA sequencing, we developed a chromosomal rearrangement-based approach to differentiate multiple primary tumors from metastasis.

Methods: Tumor specimens from patients with known independent primary tumors and metastatic lesions were used for lineage test development, which was then applied to multifocal tumors.

Chromosomal rearrangements and copy number abnormalities of TP63 correlate with p63 protein expression in lung adenocarcinoma.

The TP63 gene encodes a member of the p53 family of transcription factors. Although TP53 is a well-known tumor suppressor gene, the role of p63 in tumorigenesis is controversial. Our group recently identified novel chromosomal rearrangements involving TP63 in approximately 6% of peripheral T-cell lymphomas, which correlated with a p63+/p40- immunohistochemical profile.

Genomic rearrangements define lineage relationships between adjacent lepidic and invasive components in lung adenocarcinoma.

The development of adenocarcinoma of the lung is believed to proceed from in situ disease (adenocarcinoma in situ, AIS) to minimally invasive disease with prominent lepidic growth (minimally invasive adenocarcinoma, MIA), then to fully invasive adenocarcinoma (AD), but direct evidence for this model has been lacking. Because some lung adenocarcinomas show prominent lepidic growth (AD-L), we designed a study to address the lineage relationship between the lepidic (noninvasive) component (L) and the adjacent nonlepidic growth component representing invasive disease within individual tumors. Lineage relationships were evaluated by next-generation DNA sequencing to define large genomic rearrangements in microdissected tissue specimens collected by laser capture.