Patients with polyclonal hepatocellular carcinoma are at a high risk of early recurrence and have a poor recurrence-free survival period

Background/purpose of the study Tumor heterogeneity based on copy number variations is associated with the evolution of cancer and its clinical grade. Clonal composition (CC) represents the number of clones based on the distribution of B-allele frequency (BAF) obtained from a genome-wide single nucleotide polymorphism (SNP) array. A higher CC number represents a high degree of heterogeneity. We hypothesized and evaluated that the CC number in hepatocellular carcinoma (HCC) tissues might be associated with the clinical outcomes of patients. Methods Somatic mutation, whole transcriptome, and CC number based on copy number variations of 36 frozen tissue samples of operably resected HCC tissues were analyzed by targeted deep sequencing, transcriptome analysis, and SNP array. Results The samples were classified into the heterogeneous tumors as poly-CC (n = 26) and the homogeneous tumors as mono-CC (n = 8). The patients with poly-CC had a higher rate of early recurrence and a significantly shorter recurrence-free survival period than the mono-CC patients (7.0 months vs. not reached, p = 0.0084). No differences in pathogenic non-synonymous mutations, such as TP53, were observed between the two groups when targeted deep sequencing was applied. A transcriptome analysis showed that cell cycle-related pathways were enriched in the poly-CC tumors, compared to the mono-CC tumors. Poly-CC HCC is highly proliferative and has a high risk of early recurrence. Conclusion CC is a possible candidate biomarker for predicting the risk of early postoperative recurrence and warrants further investigation.

High clonal diversity and spatial genetic admixture in early prostate cancer and surrounding normal tissue

Copy number alterations (CNAs) are pervasive in advanced human cancers, but their prevalence in early-stage, localized tumors and their surrounding normal tissues is poorly characterized. To investigate this phenomenon, here we developed a method for spatially resolved single-cell CNA profiling and applied it to characterize the CNA landscape in 10,007 nuclei extracted from 70 tumor and normal tissue regions (~125 mm3 tissue cubes) from prostatectomies performed in six patients with localized prostate cancer. We identified two distinct groups of cells with abnormal karyotype, one mainly consisting of sparse alterations (‘pseudo-diploid’ cells) and the other characterized by genome-wide karyotypic changes (‘monster’ cells). Pseudo-diploid cells displayed high clonal diversity and formed numerous small sized clones ranging from highly spatially localized to broadly spread clones, whereas monster cells were singular events detected throughout the prostate. We observed a remarkable correlation between the fraction of the genome affected by CNAs and the number of tissue regions in which pseudo-diploid cells were found. Highly localized pseudo-diploid clones were enriched in tumor regions and carried deletions of known or putative tumor suppressors, including APC, CDKN1B, FOXO1, FOXP1, and RB1. Spatially resolved targeted deep sequencing of 523 cancer genes detected non-synonymous mutations in both normal and tumor regions, including mutations in FOXA1, FOXP1, and SPOP genes previously implicated in prostate cancer. Strikingly, in two regions in which targeted deep sequencing detected a point mutation affecting the DNA-binding activity of the FOXA1 transcription factor, we also found a co-deletion of FOXO1 and FOXO3 genes in cells from two different pseudo-diploid clones, implicating combinatorial perturbations of Forkhead transcription factors as an early driver of prostate carcinogenesis. Our study reveals that CNAs and mutations are widespread across normal and tumor regions in the prostate glands of patients with localized prostate cancer and suggests that a subset of alterations—most likely small deletions causing the loss of key tumor suppressors—confer a fitness advantage and channel cells towards tumorigenesis.

A Highly Sensitive GFP Activation Assay for Detection of DNA Cleavage in Cells

CRISPR/Cas9 nucleases hold great potential for gene therapy, but they frequently induce unwanted off-target cleavage. We previously developed a GFP activation assay for detection of DNA cleavage in cells. Here, we demonstrate two novel applications of this assay. First, we use this assay to confirm off-target cleavage that cannot be detected by targeted deep sequencing in cells before. Second, we use this approach to detect multiple alternative PAMs recognized by SpCas9. These noncanonical PAMs are associated with low cleavage activity, but targets associated with these PAMs must be considered as potential off-target sites. Taken together, the GFP activation assay is a powerful platform for DNA cleavage detection in cells.

Comparative Performance of Genomic Methods for the Detection of Pyrazinamide Resistance and Heteroresistance in Mycobacterium tuberculosis

Background: Pyrazinamide is an important component of both drug-susceptible and drug-resistant tuberculosis treatment regimens. Although approximately 50% of rifampicin resistant isolates are also resistant to pyrazinamide, pyrazinamide susceptibility testing is not routinely performed due to the challenging nature of the assay. We investigated the diagnostic accuracy of genotypic and phenotypic methods, and explored the occurrence of pyrazinamide heteroresistance. Methods: We assessed pyrazinamide susceptibility among 358 individuals enrolled in the South African EXIT-RIF cohort using Sanger and targeted deep sequencing (TDS) of the pncA gene, whole genome sequencing (WGS), and phenotypic drug-susceptibility testing. We calculated the diagnostic accuracy of the different methods, and investigated the prevalence and clinical impact of pncA heteroresistance. True pyrazinamide susceptibility status was assigned to each isolate using the Koser classification and expert rules. Results: We observed 100% agreement across genotypic methods for detection of pncA fixed mutations, only TDS confidently identified three isolates (0.8%) with minor variants. For the 355 (99.2%) isolates that could be assigned true pyrazinamide status with confidence, phenotypic DST had a sensitivity of 96.5% (95% CI: 93.8-99.3%) and specificity of 100% (95% CI: 100-100%); both Sanger sequencing and WGS had a sensitivity of 97.1% (95% CI: 94.6-99.6%) and specificity of 97.8% (95% CI: 95.7-99.9%); and TDS, sensitivity of 98.8% (95% CI: 97.2-100%) and specificity of 97.8% (95% CI: 95.7-99.9%). Conclusions: We demonstrate high sensitivity and specificity for pyrazinamide susceptibility testing among all assessed genotypic methods. The prevalence of pyrazinamide heteroresistance in Mtb isolates was lower than that identified for other first-line drugs.

Karyosequencing: Integrating Genome-Wide and Targeted Sequencing for Comprehensive Diagnosis of Lymphoproliferative Disorders

Introduction: Molecular diagnostic testing for lymphoproliferative disorders (LPDs) includes detection of clonal immunoglobulin (IG) and/or T cell receptor (TCR) rearrangements, translocations, copy number alterations (CNA) and somatic mutations. To date, laboratories still rely on subjective and labour-intensive technologies, e.g. karyotyping/FISH to detect complex genomic alterations. Whole Genome Sequencing (WGS) can detect all genomic alterations, but factors such as cost, computation/storage, DNA requirements and poor detection of clinically relevant subclonal mutations limits the routine implementation of WGS in clinical diagnostics. We have developed "KaryoSequencing" (KS), a novel approach that combines targeted deep-sequencing, using a targeted hybridisation capture NGS panel, for rare mutation and translocation detection with shallow WGS (sWGS) for genome wide copy number analysis, in a single test. Methods: KS was validated using 138 clinical samples from patients with acute lymphoblastic leukaemia (ALL) (n=46), chronic lymphocytic leukaemia (CLL) (n=46) and plasma cell myeloma (PCM) (n=46) samples from 3 UK laboratories. Samples underwent library preparation and hybridisation using the EuroClonality-NDC assay. A KS library for each sample was prepared by combining the pre-capture and post-capture libraries at an optimised ratio to enable high coverage (>500 x) at regions covered by the targeted panel while providing 0.5-1x coverage genome-wide. Forty-six KS libraries were pooled and sequenced per NovaSeq 6000 run, using a 200-cycle SP flow cell and a 100bp paired-end strategy. For analysis of targeted regions, somatic mutation calling was performed using VarDict and structural variants (rearrangements and translocations) were detected using ARResT/Interrogate. For analysis of large chromosomal copy number variation using sWGS, a modified version of QDNASeq/ACE with a window size of 50kb was performed. For sWGS analysis, bioinformatic exclusion of all target capture regions and panel-specific off-target regions was performed using a panel of 48 DNA samples from healthy individuals ran on the same KS protocol. Results: Analysis of genome-wide copy number by sWGS was concordant in 477 of 503 (95%) evaluable FISH tests, including precise detection of hyper and hypo-diploidy and other complex karyotypes. The performance of the targeted deep-sequencing component of the KS approach was assessed to ensure comparable performance to previously validated results for the EuroClonality-NDC. The EuroClonality-NDC detected a clonal IG rearrangement in 46/46 (100%) CLL cases and in 42/46 (91.3%) PCM cases. Clonality was detected in 43/46 (93.5%) and 44/46 (95.7%) cases at an IG and TCR locus respectively in ALL, a disease entity known to exhibit cross-lineage rearrangements. Overall, 44 translocations were detected in the 138 samples by the EuroClonality-NDC. FISH results were available for 32 of the 44 translocations detected by NGS and were concordant in 29/32 (91%). In two PCM samples NGS and FISH reported a different translocation; in the ALL sample, the FISH pattern showed an additional copy but not a split signal. Across the entire cohort of 138 samples, KaryoSequencing detected 190 mutations with a variant allele frequency ranging from 4.0 - 97.6%. Of the detected mutations, 69/190 (36.3%) had a VAF <20% which can be difficult to detect reliably with typical coverage depths observed with conventional WGS. The most frequently mutated genes were KRAS [30.4%], NRAS [13.0%], KMT2D [10.9%] in ALL; SF3B1 [23.9%], NOTCH1 [19.6%], ATM [15.2%] and TP53[13.0%] in CLL and KRAS [19.6%], NRAS [15.2%] and TP53 [10.9%] in PCM, consistent with expected frequencies in each entity. Conclusions: KaryoSequencing demonstrated >95% sensitivity and specificity for detection of gross genome-wide copy number alterations while retaining the analytical performance for detection of rearrangements, translocations, and mutations for the lymphoid-specific targeted regions of the EuroClonality-NDC assay. KS is a cost-effective and high-throughput integrated alternative to current diagnostic strategies in haematological malignancies and can be implemented in routine clinical practice. Disclosures Jenner: Janssen: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy; Takeda: Consultancy; BMS/Celgene: Consultancy, Honoraria, Speakers Bureau. Gonzalez: Univ8 Genomics Ltd: Current holder of individual stocks in a privately-held company.

A Two-tiered Functional Screen Identifies Herpesviral Transcriptional Modifiers and their Essential Domains

While traditional methods for studying large DNA viruses allow the creation of individual mutants, CRISPR/Cas9 can be used to rapidly create thousands of mutant dsDNA viruses in parallel. Here, we used this approach to study the human oncogenic Kaposi's sarcoma-associated herpesvirus (KSHV). We designed a sgRNA library containing all possible ~22,000 guides targeting the genome of KSHV - one cut site approximately every 8 base pairs - enabling the pooled screening of the entire genome. We used this tool to phenotype all possible Cas9-targeted viruses for transcription of KSHV late genes, which is required to produce structural components of the viral capsid. By performing targeted deep sequencing of the viral genome to distinguish between knock-out and in-frame alleles created by Cas9, we discovered a novel hit, ORF46 - and more specifically its DNA binding domain - is required for viral DNA replication. Our pooled Cas9 tiling screen followed by targeted deep viral sequencing represents a two-tiered screening paradigm that may be widely applicable to dsDNA viruses.

DeepSARS: simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2

The continued spread of SARS-CoV-2 and emergence of new variants with higher transmission rates and/or partial resistance to vaccines has further highlighted the need for large-scale testing and genomic surveillance. However, current diagnostic testing (e.g., PCR) and genomic surveillance methods (e.g., whole genome sequencing) are performed separately, thus limiting the detection and tracing of SARS-CoV-2 and emerging variants. Here, we developed DeepSARS, a high-throughput platform for simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2 by the integration of molecular barcoding, targeted deep sequencing, and computational phylogenetics. DeepSARS enables highly sensitive viral detection, while also capturing genomic diversity and viral evolution. We show that DeepSARS can be rapidly adapted for identification of emerging variants, such as alpha, beta, gamma, and delta strains, and profile mutational changes at the population level. DeepSARS sets the foundation for quantitative diagnostics that capture viral evolution and diversity.Abstract FigureGraphical abstractDeepSARS uses molecular barcodes (BCs) and multiplexed targeted deep sequencing (NGS) to enable simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2.

Improvement of the LbCas12a-crRNA System for Efficient Gene Targeting in Tomato

Plant gene targeting (GT) can be utilized to precisely replace up to several kilobases of a plant genome. Recent studies using the powerful clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated (Cas) nucleases significantly improved plant GT efficiency. However, GT for loci without associated selection markers is still inefficient. We previously utilized Lachnospiraceae bacterium Cas12a (LbCas12a) in combination with a replicon for tomato GT and obtained high GT efficiency with some selection markers. In this study, we advance our GT system by inhibiting the cNHEJ pathway with small chemical molecules such as NU7441. Further optimization of the GT is also possible with the treatment of silver nitrate possibly via its pronounced actions in ethylene inhibition and polyamine production. Importantly, the GT efficiency is significantly enhanced with the use of a temperature-tolerant LbCas12a (ttLbCas12a) that is capable of performing target cleavage even at low temperatures. Targeted deep sequencing, as well as conventional methods, are used for the assessment of the editing efficiency at both cell and plant levels. Our work demonstrates the significance of the selection of gene scissors, the appropriate design and number of LbCas12a crRNAs, the use of chemical treatments, and the establishment of favorable experimental conditions for further enhancement of plant HDR to enable efficient GT in tomato.