Dataset Information

Chromosomal copy number analysis of products of conception by conventional karyotyping and next-generation sequencing.

ABSTRACT:

Purpose

Chromosomal abnormalities are a major cause of spontaneous abortion, and conventional G-banded karyotyping (G-banding) is mainly utilized for chromosomal analysis. Recently, next-generation sequencing (NGS) has been introduced for chromosomal analysis. Here, we aimed to investigate the applicability and utility of NGS-based chromosomal analysis of products of conception (POC) on chorionic villus samples from spontaneous abortion.

Methods

The results of chromosomal analysis of 7 chorionic villus samples from spontaneous abortion were compared between conventional G-banding and NGS-based chromosomal copy number analysis. Age dependency and frequency of each chromosomal aneuploidy were evaluated for 279 cases analyzed by NGS.

Results

Excluding two cases (culture failure and maternal cell contamination), the results were consistent between G-banding and NGS. For cases analyzed by NGS, the rate of chromosomal abnormality increased in a maternal age-dependent manner. The frequency of each chromosomal aneuploidy detected by NGS was almost the same as that previously reported. Finally, NGS analysis was possible for difficult cases by G-banding analysis, such as culture failure, maternal cell contamination, long-term storage cases, and low cell number.

Conclusions

Chromosome analysis using NGS not only obtains comparable results to conventional G-banding, but also can analyze POC more accurately and efficiently.

SUBMITTER: Tamura Y

PROVIDER: S-EPMC7812460 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Chromosomal copy number analysis of products of conception by conventional karyotyping and next-generation sequencing.

Tamura Yuki Y Santo Mitsuo M Araki Yasuhisa Y Matsubayashi Hidehiko H Takaya Yukiko Y Kitaya Kotaro K Doshida Masakazu M Yamaguchi Kohei K Mizuta Shimpei S Takahashi Chie C Kim Namhyo N Okuno Koichiro K Takeuchi Takumi T Ishikawa Tomomoto T

Reproductive medicine and biology 20201008 1

<h4>Purpose</h4>Chromosomal abnormalities are a major cause of spontaneous abortion, and conventional G-banded karyotyping (G-banding) is mainly utilized for chromosomal analysis. Recently, next-generation sequencing (NGS) has been introduced for chromosomal analysis. Here, we aimed to investigate the applicability and utility of NGS-based chromosomal analysis of products of conception (POC) on chorionic villus samples from spontaneous abortion.<h4>Methods</h4>The results of chromosomal analysis ...[more]

PMID: 33488285

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Project description:Genomic instability is a hallmark of cancer often associated with poor patient outcome and resistance to targeted therapy. Assessment of genomic instability in bulk tumor or biopsy can be complicated due to sample availability, surrounding tissue contamination, or tumor heterogeneity. The Epic Sciences circulating tumor cell (CTC) platform utilizes a non-enrichment based approach for the detection and characterization of rare tumor cells in clinical blood samples. Genomic profiling of individual CTCs could provide a portrait of cancer heterogeneity, identify clonal and sub-clonal drivers, and monitor disease progression. To that end, we developed a single cell Copy Number Variation (CNV) Assay to evaluate genomic instability and CNVs in patient CTCs. For proof of concept, prostate cancer cell lines, LNCaP, PC3 and VCaP, were spiked into healthy donor blood to create mock patient-like samples for downstream single cell genomic analysis. In addition, samples from seven metastatic castration resistant prostate cancer (mCRPC) patients were included to evaluate clinical feasibility. CTCs were enumerated and characterized using the Epic Sciences CTC Platform. Identified single CTCs were recovered, whole genome amplified, and sequenced using an Illumina NextSeq 500. CTCs were then analyzed for genome-wide copy number variations, followed by genomic instability analyses. Large-scale state transitions (LSTs) were measured as surrogates of genomic instability. Genomic instability scores were determined reproducibly for LNCaP, PC3, and VCaP, and were higher than white blood cell (WBC) controls from healthy donors. A wide range of LST scores were observed within and among the seven mCRPC patient samples. On the gene level, loss of the PTEN tumor suppressor was observed in PC3 and 5/7 (71%) patients. Amplification of the androgen receptor (AR) gene was observed in VCaP cells and 5/7 (71%) mCRPC patients. Using an in silico down-sampling approach, we determined that DNA copy number and genomic instability can be detected with as few as 350K sequencing reads. The data shown here demonstrate the feasibility of detecting genomic instabilities at the single cell level using the Epic Sciences CTC Platform. Understanding CTC heterogeneity has great potential for patient stratification prior to treatment with targeted therapies and for monitoring disease evolution during treatment.

Dataset Information

Chromosomal copy number analysis of products of conception by conventional karyotyping and next-generation sequencing.

Purpose

Methods

Results

Conclusions

Publications

Chromosomal copy number analysis of products of conception by conventional karyotyping and next-generation sequencing.

Similar Datasets

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