Early cancer detection using multi-omic approach including epigenetic signal from ultra-small fragments.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13561-e13561
Author(s):  
Johnny Wu ◽  
Xin-Xing Li ◽  
Huabang Zhou ◽  
Wendi Liu ◽  
Fenfen Wang ◽  
...  

e13561 Background: Genetic and epigenetic signals from plasma cell-free DNA (cfDNA) as well as proteins have been shown to detect cancer early. We have previously developed Circular Ligation and Amplification (CLAmp-seq) to detect mutations very sensitively and demonstrated higher performance than molecular barcode-based methods. The same single strand based technology yielded a much larger proportion of small fragments ( < 100 bp) than traditional methods typically relying on double stranded ligation, allowing us to investigate epigenetic signature of cancer in ultra-short fragments. We sought to measure the performance using a multi-omics approach of these genetic and epigenetic changes as well as proteins in detecting colorectal cancer (CRC), ovarian cancer (OC) and hepatocellular carcinoma (HCC). Methods: A healthy and a late stage cancer sample were assessed by whole genome sequencing (WGS) using CLAmp-seq. Then we analyzed cfDNA from plasma samples of 731 patients, including 69 CRC, 57 HCC, 49 OC patients and 556 age-matched healthy individuals. Out of the diseased samples, the numbers for stages I-IV are 49, 39, 71, and 16, respectively. CLAmp-seq WGS was performed on 58 healthy and 66 cancer samples to discover cancer epigenetic signature. In addition, all the samples were analyzed for a panel of proteins and a CLAmp-seq targeted panel that includes known mutation sites. Results: Using CLAmp-Seq in late stage cancer showed 33% of its fragments as smaller than 100 bp compared to 15% in healthy and < 1% in late stage by double stranded library prep. In addition, the difference in fragment size between late stage cancer and healthy was 29bp using CLAmp-Seq and 12bp using traditional double stranded prep. This focused our attention to detect epigenetic signature specific to cancer on the small fragments using CLAmp-Seq. Using data from whole genome analysis we demonstrated a performance using the epigenetic signature alone of 50% sensitivity at 97% specificity. Combined with mutations and proteins, we obtained at specificity of 97% sensitivities of 50%, 88%, 88%, and 100% in stage I, II, III, and IV, respectively. At the same 97% specificity we obtained the sensitivities of 73%, 100%, and 85% in CRC, OC, and HCC, respectively. Conclusions: We have demonstrated that CLAmp-Seq detects small fragments that are enriched in cancer. We have found predictive epigenetic signature in these small fragments. When combined with mutations and proteins we obtained a performance of 80% sensitivity at 97% specificity.

Gut Pathogens ◽  
2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Andreas Papoutsis ◽  
Thomas Borody ◽  
Siba Dolai ◽  
Jordan Daniels ◽  
Skylar Steinberg ◽  
...  

Abstract Background SARS-CoV-2 has been detected not only in respiratory secretions, but also in stool collections. Here were sought to identify SARS-CoV-2 by enrichment next-generation sequencing (NGS) from fecal samples, and to utilize whole genome analysis to characterize SARS-CoV-2 mutational variations in COVID-19 patients. Results Study participants underwent testing for SARS-CoV-2 from fecal samples by whole genome enrichment NGS (n = 14), and RT-PCR nasopharyngeal swab analysis (n = 12). The concordance of SARS-CoV-2 detection by enrichment NGS from stools with RT-PCR nasopharyngeal analysis was 100%. Unique variants were identified in four patients, with a total of 33 different mutations among those in which SARS-CoV-2 was detected by whole genome enrichment NGS. Conclusion These results highlight the potential viability of SARS-CoV-2 in feces, its ongoing mutational accumulation, and its possible role in fecal–oral transmission. This study also elucidates the advantages of SARS-CoV-2 enrichment NGS, which may be a key methodology to document complete viral eradication. Trial registration ClinicalTrials.gov, NCT04359836, Registered 24 April 2020, https://clinicaltrials.gov/ct2/show/NCT04359836?term=NCT04359836&draw=2&rank=1).


Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1017
Author(s):  
Hirohisa Mekata ◽  
Tomohiro Okagawa ◽  
Satoru Konnai ◽  
Takayuki Miyazawa

Bovine foamy virus (BFV) is a member of the foamy virus family in cattle. Information on the epidemiology, transmission routes, and whole-genome sequences of BFV is still limited. To understand the characteristics of BFV, this study included a molecular survey in Japan and the determination of the whole-genome sequences of 30 BFV isolates. A total of 30 (3.4%, 30/884) cattle were infected with BFV according to PCR analysis. Cattle less than 48 months old were scarcely infected with this virus, and older animals had a significantly higher rate of infection. To reveal the possibility of vertical transmission, we additionally surveyed 77 pairs of dams and 3-month-old calves in a farm already confirmed to have BFV. We confirmed that one of the calves born from a dam with BFV was infected. Phylogenetic analyses revealed that a novel genotype was spread in Japan. In conclusion, the prevalence of BFV in Japan is relatively low and three genotypes, including a novel genotype, are spread in Japan.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mark Loftus ◽  
Sayf Al-Deen Hassouneh ◽  
Shibu Yooseph

Abstract Background Colorectal cancer is a leading cause of cancer-related deaths worldwide. The human gut microbiome has become an active area of research for understanding the initiation, progression, and treatment of colorectal cancer. Despite multiple studies having found significant alterations in the carriage of specific bacteria within the gut microbiome of colorectal cancer patients, no single bacterium has been unequivocally connected to all cases. Whether alterations in species carriages are the cause or outcome of cancer formation is still unclear, but what is clear is that focus should be placed on understanding changes to the bacterial community structure within the cancer-associated gut microbiome. Results By applying a novel set of analyses on 252 previously published whole-genome shotgun sequenced fecal samples from healthy and late-stage colorectal cancer subjects, we identify taxonomic, functional, and structural changes within the cancer-associated human gut microbiome. Bacterial association networks constructed from these data exhibited widespread differences in the underlying bacterial community structure between healthy and colorectal cancer associated gut microbiomes. Within the cancer-associated ecosystem, bacterial species were found to form associations with other species that are taxonomically and functionally dissimilar to themselves, as well as form modules functionally geared towards potential changes in the tumor-associated ecosystem. Bacterial community profiling of these samples revealed a significant increase in species diversity within the cancer-associated gut microbiome, and an elevated relative abundance of species classified as originating from the oral microbiome including, but not limited to, Fusobacterium nucleatum, Peptostreptococcus stomatis, Gemella morbillorum, and Parvimonas micra. Differential abundance analyses of community functional capabilities revealed an elevation in functions linked to virulence factors and peptide degradation, and a reduction in functions involved in amino-acid biosynthesis within the colorectal cancer gut microbiome. Conclusions We utilize whole-genome shotgun sequenced fecal samples provided from a large cohort of late-stage colorectal cancer and healthy subjects to identify a number of potentially important taxonomic, functional, and structural alterations occurring within the colorectal cancer associated gut microbiome. Our analyses indicate that the cancer-associated ecosystem influences bacterial partner selection in the native microbiota, and we highlight specific oral bacteria and their associations as potentially relevant towards aiding tumor progression.


Author(s):  
Magdalena Wysocka ◽  
Tamar Monteiro ◽  
Carine de Pina ◽  
Deisy Gonçalves ◽  
Sandrine de Pina ◽  
...  

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