Using Targeted Sequencing of Paralogous Sequences for Noninvasive Detection of Selected Fetal Aneuploidies

Cell-Free DNA Screening for Sex Chromosome Abnormalities and Pregnancy Outcomes, 2018-2020: A Retrospective Analysis

To evaluate the efficacy of non-invasive prenatal screening (NIPT) for detecting fetal sex chromosome abnormalities, a total of 639 women carrying sex chromosome abnormalities were selected from 222,107 pregnant women who participated in free NIPT from April 2018 to December 2020. The clinical data, prenatal diagnosis results, and follow-up pregnancy outcomes of participants were collected. The positive predictive value (PPV) was used to analyze the performance of NIPT. Around 235 cases were confirmed with sex chromosome abnormalities, including 229 cases with sex chromosome aneuploidy (45, X (n = 37), 47, XXX (n = 37), 47, XXY (n = 110), 47, XYY (n = 42)) and 6 cases with structural abnormalities. The total incidence rate was 0.11% (235/222,107). The PPV of NIPT was 45.37% (235/518). NIPT accuracy for detecting sex chromosome polysomes was higher than that for sex chromosome monomers. The termination of pregnancy rate for fetal diagnosis of 45, X, and 47, XXY was higher than that of 47, XXX, and 47, XYY. The detection rate of fetal sex chromosome abnormalities was higher in 2018–2020 than in 2010–2012 (χ² = 69.708, P < 2.2 × 10⁻¹⁶), indicating that NIPT is greatly efficient to detect fetal sex chromosome abnormalities.

Genome-wide Sequencing of Cell-free DNA Enables Detection of Copy-number Alterations in Patients with Cancer Where Tissue Biopsy is Not Feasible

When tissue biopsy is not medically prudent or tissue is insufficient for molecular testing, alternative methods are needed. Because cell-free DNA (cfDNA) has been shown to provide a representative surrogate for tumor tissue, we sought to evaluate its utility in this clinical scenario. cfDNA was isolated from the plasma of patients and assayed with low-coverage (∼0.3×), genome-wide sequencing. Copy-number alterations (CNA) were identified and characterized using analytic methods originally developed for noninvasive prenatal testing (NIPT) and quantified using the genomic instability number (GIN), a metric that reflects the quantity and magnitude of CNAs across the genome. The technical variability of the GIN was first evaluated in an independent cohort comprising genome-wide sequencing results from 27,754 women who consented to have their samples used for research and whose NIPT results yielded no detected CNAs to establish a detection threshold. Subsequently, cfDNA sequencing data from 96 patients with known cancers but for whom a tissue biopsy could not be obtained are presented. An elevated GIN was detected in 35% of patients and detection rates varied by tumor origin. Collectively, CNAs covered 96.6% of all autosomes. Survival was significantly reduced in patients with an elevated GIN relative to those without. Overall, these data provide a proof of concept for the use of low-coverage, genome-wide sequencing of cfDNA from patients with cancer to obtain relevant molecular information in instances where tissue is difficult to access. These data may ultimately serve as an informative complement to other molecular tests.

Assessing CAR T-Cell Therapy Response Using Genome-Wide Sequencing of Cell-Free DNA in Patients With B-Cell Lymphomas

Methods that enable monitoring of therapeutic efficacy of autologous chimeric antigen receptor (CAR) T-cell therapy will be clinically useful. The aim of this study is to demonstrate the feasibility of blood-derived cell-free DNA (cfDNA) to predict CAR T-cell therapy response in patients with refractory B-cell lymphomas. Whole blood was collected before and throughout CAR T-cell therapy until day 154. Low-coverage (∼0.4×), genome-wide cfDNA sequencing, similar to that established for noninvasive prenatal testing, was performed. The genomic instability number (GIN) was used to quantify plasma copy number alteration level. Twelve patients were enrolled. Seven (58%) patients achieved a complete response (CR); 2 (25%), a partial response. Median progression-free survival was 99 days; median overall survival was not reached (median follow-up, 247 days). Altogether, 127 blood samples were analyzed (median, 10 samples/patient [range 8-13]). All 5 patients who remained in CR at the time of last measurement had GIN <170 (threshold). Two patients who attained CR, but later relapsed, and all but one patient who had best response other than CR had last GIN measurement of >170. In 5 of 6 patients with relapsed or progressive disease, increasing GIN was observed before the diagnosis by imaging. The abundance of CAR T-cell construct (absolute number of construct copies relative to the number of human genome equivalents) also showed a trend to correlate with outcome (day 10, P = .052). These data describe a proof-of-concept for the use of multiple liquid biopsy technologies to monitor therapeutic response in B-cell lymphoma patients receiving CAR T-cell therapy.

Early, On-Treatment Levels and Dynamic Changes of Genomic Instability in Circulating Tumor DNA Predict Response to Treatment and Outcome in Metastatic Breast Cancer Patients

Simple Summary

Liquid biopsies offer the opportunity to monitor cancer progression and the response to treatment with a simple blood test. However, most of the technologies available analyze specific molecular alterations or require tumor tissue for analysis, which is very difficult to obtain in metastatic patients. In this study, we made use of a novel method that allows to measure the overall molecular tumor changes in a blood sample without the need for tissue or to look for specific molecular alterations. We demonstrated the ability of this method to very early monitor the treatment clinical response and progression in a cohort of metastatic breast cancer patients.

Abstract

Background: Circulating tumor DNA (ctDNA) offers high sensitivity and specificity in metastatic cancer. However, many ctDNA assays rely on specific mutations in recurrent genes or require the sequencing of tumor tissue, difficult to do in a metastatic disease. The purpose of this study was to define the predictive and prognostic values of the whole-genome sequencing (WGS) of ctDNA in metastatic breast cancer (MBC). Methods: Plasma from 25 patients with MBC were taken at the baseline, prior to treatment (T0), one week (T1) and two weeks (T2) after treatment initiation and subjected to low-pass WGS. DNA copy number changes were used to calculate a Genomic Instability Number (GIN). A minimum predefined GIN value of 170 indicated detectable ctDNA. GIN values were correlated with the treatment response at three and six months by Response Evaluation Criteria in Solid Tumours assessed by imaging (RECIST) criteria and with overall survival (OS). Results: GIN values were detectable (>170) in 64% of patients at the baseline and were significantly prognostic (41 vs. 18 months OS for nondetectable vs. detectable GIN). Detectable GIN values at T1 and T2 were significantly associated with poor OS. Declines in GIN at T1 and T2 of > 50% compared to the baseline were associated with three-month response and, in the case of T1, with OS. On the other hand, a rise in GIN at T2 was associated with a poor response at three months. Conclusions: Very early measurements using WGS of cell-free DNA (cfDNA) from the plasma of MBC patients provided a tumor biopsy-free approach to ctDNA measurement that was both predictive of the early tumor response at three months and prognostic.

Novel perspectives in fetal biomarker implementation for the noninvasive prenatal testing

Noninvasive prenatal testing (NIPT) utilizes cell-free fetal DNA (cffDNA) present in maternal peripheral blood to detect chromosomal abnormalities. The detection of 21-trisomy, 18-trisomy, and 13-trisomy in the fetus has become a common screening method during pregnancy and has been widely applied in routine clinical testing because of its analytical and clinical validity. Currently, noninvasive prenatal testing involving copy number variations (CNVs) and other frequent single-gene disorders is being widely studied, and it plays an important and indispensable role in prenatal detection. The multiple approaches that have been reported and validated by various laboratories have different merits and limitations. Their clinical validity, utility, and application vary with different diseases. This review summarizes the principles, methods, advantages, and limitations of noninvasive prenatal testing for the detection of aneuploidy, CNVs and single-gene disorders. Before implementation of NIPT into clinical practice, a list of criteria that the application must meet is crucial. Essential parameters such as clinical sensitivity, clinical specificity, positive predictive value (PPV) and negative predictive value (NPV) are required to properly evaluate the clinical validity and utility of NIPT. We then discuss and analyze these clinical parameters and clinical application guidelines, providing physicians and scientists with feasible strategies and the latest research information.

Profile of women choosing the Harmony® Prenatal Test

INTRODUCTION

The Harmony® Prenatal Test, a noninvasive cell-free DNA (cfDNA) method for major trisomies has been available since January 2013 at our unit, and tests were sent to the Ariosa Clinical Laboratory Improvement Amendments (CLIA) laboratory in California. From July 2017 onward, prenatal cfDNA has been reimbursed in Belgium for all pregnancies; however, since then samples are sent to a local laboratory. Little data are available on patient's profile and choices toward cfDNA and on the performance of local technology transfer centers. Areas covered: The profiles and choices of women regarding this test were evaluated. Further, the performance of cfDNA at the local laboratory was compared to the one in California. Our results showed that women from the Netherlands, as compared to Belgium, were more likely to undergo cfDNA testing for maternal request and would be less likely to undergo karyotyping if cfDNA were unavailable, therefore are better candidates for cfDNA testing, when this is used as first-line screening. Expert commentary: Our findings highlight the importance of conducting these types of studies, before decisions about clinical implementation are made by national governments and ministries of health.