Targeted genome fragmentation with CRISPR/Cas9 enables fast and efficient enrichment of small genomic regions and ultra-accurate sequencing with low DNA input (CRISPR-DS).

Next-generation sequencing methods suffer from low recovery, uneven coverage, and false mutations. DNA fragmentation by sonication is a major contributor to these problems because it produces randomly sized fragments, PCR amplification bias, and end artifacts. In addition, oligonucleotide-based hybridization capture, a common target enrichment method, has limited efficiency for small genomic regions, contributing to low recovery. This becomes a critical problem in clinical applications, which value cost-effective approaches focused on the sequencing of small gene panels. To address these issues, we developed a targeted genome fragmentation approach based on CRISPR/Cas9 digestion that produces DNA fragments of similar length. These fragments can be enriched by a simple size selection, resulting in targeted enrichment of up to approximately 49,000-fold. Additionally, homogenous length fragments significantly reduce PCR amplification bias and maximize read usability. We combined this novel target enrichment approach with Duplex Sequencing, which uses double-strand molecular tagging to correct for sequencing errors. The approach, termed CRISPR-DS, enables efficient target enrichment of small genomic regions, even coverage, ultra-accurate sequencing, and reduced DNA input. As proof of principle, we applied CRISPR-DS to the sequencing of the exonic regions of TP53 and performed side-by-side comparisons with standard Duplex Sequencing. CRISPR-DS detected previously reported pathogenic TP53 mutations present as low as 0.1% in peritoneal fluid of women with ovarian cancer, while using 10- to 100-fold less DNA than standard Duplex Sequencing. Whether used as standalone enrichment or coupled with high-accuracy sequencing methods, CRISPR-based fragmentation offers a simple solution for fast and efficient small target enrichment.

Characterization of TP53 mutations in Pap test DNA of women with and without serous ovarian carcinoma.

OBJECTIVE: Pap tests hold promise as a molecular diagnostic for serous ovarian cancer, but previous studies reported limited sensitivity. Furthermore, the presence of somatic mutations in normal tissue is increasingly recognized as a challenge to the specificity of mutation-based cancer diagnostics. We applied an ultra-deep sequencing method with the goal of improving sensitivity and characterizing the landscape of low-frequency somatic TP53 mutations in Pap tests. METHODS: We used CRISPR-DS to deeply sequence (mean Duplex depth ~3000×) the TP53 gene in 30 Pap tests from 21 women without cancer and 9 women with serous ovarian carcinoma with known TP53 driver mutations. Mutations were annotated and compared to those in the TP53 cancer database. RESULTS: The tumor-derived mutation was identified in 3 of 8 Pap tests from women with ovarian cancer and intact tubes. In addition, 221 low-frequency (≲0.001) exonic TP53 mutations were identified in Pap tests from women with ovarian cancer (94 mutations) and without ovarian cancer (127 mutations). Many of these mutations resembled TP53 mutations found in cancer: they impaired protein activity, were predicted to be pathogenic, and clustered in exons 5 to 8 and hotspot codons. Cancer-like mutations were identified in all women but at higher frequency in women with ovarian cancer. CONCLUSIONS: Pap tests have low sensitivity for ovarian cancer detection and carry abundant low-frequency TP53 mutations. These mutations are more frequently pathogenic in women with ovarian cancer. Determining whether low-frequency TP53 mutations in normal gynecologic tissues are associated with an increased cancer risk warrants further study.

Precancer in ulcerative colitis: the role of the field effect and its clinical implications.

Cumulative evidence indicates that a significant proportion of cancer evolution may occur before the development of histological abnormalities. While recent improvements in DNA sequencing technology have begun to reveal the presence of these early preneoplastic clones, the concept of 'premalignant field' was already introduced by Slaughter more than half a century ago. Also referred to as 'field effect', 'field defect' or 'field cancerization', these terms describe the phenomenon by which molecular alterations develop in normal-appearing tissue and expand to form premalignant patches with the potential to progress to dysplasia and cancer. Field effects have been well-characterized in ulcerative colitis, an inflammatory bowel disease that increases the risk of colorectal cancer. The study of the molecular alterations that define these fields is informative of mechanisms of tumor initiation and progression and has provided potential targets for early cancer detection. Herein, we summarize the current knowledge about the molecular alterations that comprise the field effect in ulcerative colitis and the clinical utility of these fields for cancer screening and prevention.

Mitochondrial DNA Mutations are Associated with Ulcerative Colitis Preneoplasia but Tend to be Negatively Selected in Cancer.

The role of mitochondrial DNA (mtDNA) mutations in cancer remains controversial. Ulcerative colitis is an inflammatory bowel disease that increases the risk of colorectal cancer and involves mitochondrial dysfunction, making it an ideal model to study the role of mtDNA in tumorigenesis. Our goal was to comprehensively characterize mtDNA mutations in ulcerative colitis tumorigenesis using Duplex Sequencing, an ultra-accurate next-generation sequencing method. We analyzed 46 colon biopsies from non-ulcerative colitis control patients and ulcerative colitis patients with and without cancer, including biopsies at all stages of dysplastic progression. mtDNA was sequenced at a median depth of 1,364x. Mutations were classified by mutant allele frequency: clonal > 0.95, subclonal 0.01-0.95, and very low frequency (VLF) < 0.01. We identified 208 clonal and subclonal mutations and 56,764 VLF mutations. Mutations were randomly distributed across the mitochondrial genome. Clonal and subclonal mutations increased in number and pathogenicity in early dysplasia, but decreased in number and pathogenicity in cancer. Most clonal, subclonal, and VLF mutations were C>T transitions in the heavy strand of mtDNA, which likely arise from DNA replication errors. A subset of VLF mutations were C>A transversions, which are probably due to oxidative damage. VLF transitions and indels were less abundant in the non-D-loop region and decreased with progression. Our results indicate that mtDNA mutations are frequent in ulcerative colitis preneoplasia but negatively selected in cancers. IMPLICATIONS: While mtDNA mutations might contribute to early ulcerative colitis tumorigenesis, they appear to be selected against in cancer, suggesting that functional mitochondria might be required for malignant transformation in ulcerative colitis.

Ultra-Sensitive TP53 Sequencing for Cancer Detection Reveals Progressive Clonal Selection in Normal Tissue over a Century of Human Lifespan.

High-accuracy next-generation DNA sequencing promises a paradigm shift in early cancer detection by enabling the identification of mutant cancer molecules in minimally invasive body fluid samples. We demonstrate 80% sensitivity for ovarian cancer detection using ultra-accurate Duplex Sequencing to identify TP53 mutations in uterine lavage. However, in addition to tumor DNA, we also detect low-frequency TP53 mutations in nearly all lavages from women with and without cancer. These mutations increase with age and share the selection traits of clonal TP53 mutations commonly found in human tumors. We show that low-frequency TP53 mutations exist in multiple healthy tissues, from newborn to centenarian, and progressively increase in abundance and pathogenicity with older age across tissue types. Our results illustrate that subclonal cancer evolutionary processes are a ubiquitous part of normal human aging, and great care must be taken to distinguish tumor-derived from age-associated mutations in high-sensitivity clinical cancer diagnostics.