Matched Sequencing Data Research Articles

ZANUBRUTINIB PLUS BENDAMUSTINE AND CD20 MONOCLONAL ANTIBODY AS TREATMENT FOR MANTLE CELL LYMPHOMA

Introduction: To evaluate the safety and efficacy of Zanubrutinib Plus Bendamustine and CD20 monoclonal antibody As Treatment for Mantle Cell Lymphoma patients. Methods: We analyzed 15 MCL patients aged who received ZBR/G as treatment in our cohort between July 2020 to March 2023. 12(80%) patients received ZBR/G as their initial treatment, while 3 patients received ZBR/G as their 2nd line treatment. Oral Zanubrutinib was given continuously (160 mg twice a day) from day 0, then intravenously rituximab (375 mg/m2 in day 0) or Obinutuzumab (1000 mg in day 0), Bendamustine (70 mg/m2, days 1–2), every 28-day cycles. All the patients received 6 cycles of ZBR/G. Results: The median follow-up was 14.3 months. 13 of 15 patients achieved mid-term evaluation. Generally, the best overall response rate (ORR) was 100%, among which 61.5% patients achieved CR. Eight patients completed EOT evaluation after 6 cycles, the best overall response rate (ORR) was 100% and 75% patients achieved CR. Among them, one patient whose efficacy was evaluated as PR after 6 cycles reached CR after 3 cycles of rituximab maintenance. Four patients with bone marrow involvement at baseline and CR at mid-term evaluation all achieved uMRD in bone marrow. In terms of adverse events (AEs), two patients had grade 3 and grade 4 neutropenia AEs in cycle 3 and 4 respectively, and no other grade 3–4 AEs were observed. Four cases of classical type and mother cell variant were submitted for ctDNA detection. The mutation map of 8 patients is shown in Figure 1, and 5 cases (62.5%) detected ATM gene mutations. Among them, 2 patients with classic type had CCND1 gene mutation. Two patients had matched sequencing data at baseline and evaluation time points, which were evaluated as CR and PR respectively, and the plasma mutation abundance was significantly lower than before (Figure 2). The research was funded by: This study was supported by National Natural Science Foundation of China (Grant No. 82170166, No. 82100207, No. 81970146) Keyword: Combination Therapies No conflicts of interests pertinent to the abstract.

Abstract 4273: Integration with benchmark data of paired bulk and single-cell RNA sequencing data substantially improves the accuracy of bulk tissue deconvolution

Abstract The accuracy of current deconvolution methods largely relies on the quality of cell-type expression references. However, single-cell (sc) and single-nuclei (sn) RNA-seq data used for building the reference are usually generated from independent studies that are distinct from the bulk RNA-seq data to be deconvolved. This study design inherently introduces technical confounding factors as unwanted variations, which is not fully addressed by current methods. To evaluate the impact of this variation on deconvolution accuracy, we generated a benchmark dataset where bulk and snRNA-seq profiling were performed from the same aliquot of single-nuclei that were extracted from 24 healthy retina samples. All donor eye samples were collected within six hours post-mortem and were absent of any disease. This study design guarantees the matched sequencing data to present the same cell-type compositions, so that cross-platform technical artifacts become the remaining confounding factor. We used the benchmark dataset to evaluate the performance of seven current deconvolution methods and found they performed much worse in matched real-bulk data than in matched pseudo-bulks that were summations of the single-cell data. This finding suggests that none of these methods have fully addressed the major technical artifacts between bulk and single-cell sequencing platforms. We therefore propose DeMix.SC, a new deconvolution framework that optimizes deconvolution parameters using a small set of matched bulk and sc/snRNA-seq data from the same tissue type. DeMix.SC includes two major steps. First, we measure the technical variations across genes and across platforms using the benchmark data. Second, we introduce a new weight function for each gene that produces a ranking order that accounts for both the platform-specific technical variations and cell-type specific expressions at gene level. Using the benchmark data for retina, we applied DeMix.SC to previously published human retinal RNA-seq data from 523 individuals with different stages of age-related macular degeneration (AMD). We observed that DeMix.SC can accurately capture the cell-type composition shifts in the AMD retina. DeMix.SC revealed a significant drop of rod cells as well as increased astrocytes, bipolar cells, and Müller cells in the AMD retina compared to the non-AMD group. The proportion changes of the later three minor cell types were not identified by other methods, while DeMix.SC could reveal such tendency. In summary, DeMix.SC integrates benchmark data to improve the deconvolution accuracy in retina samples. Our method is generic and can be applied to other disease conditions, such as deciphering the cell-type heterogeneity in cancer. We expect DeMix.SC will help revolutionize the downstream cell-type specific analysis of bulk RNA-seq data and identify cellular targets of human diseases. Citation Format: Shuai Guo, Xuesen Cheng, Andrew Koval, Shuangxi Ji, Qingnan Liang, Yumei Li, Leah A. Owen, Ivana K. Kim, John Weinstein, Scott Kopetz, John Paul Shen, Margaret M. DeAngelis, Rui Chen, Wenyi Wang. Integration with benchmark data of paired bulk and single-cell RNA sequencing data substantially improves the accuracy of bulk tissue deconvolution. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4273.

Prevalence of Germline Findings Among Tumors From Cancer Types Lacking Hereditary Testing Guidelines

Germline testing guidelines are suggested for specific disease types or a family history of cancer, yet alterations are found in cancer types in which germline testing is not routinely indicated. The clinical role of identifying germline variants in these populations is valuable to patients and their at-risk relatives. To evaluate the prevalence of germline findings in patients undergoing tumor/normal matched sequencing among cancer types lacking guidelines. This retrospective cross-sectional study took place on August 18, 2021, and included data from deidentified records of patients tested, using the Tempus xT tumor/normal matched approach from November 2017 to August 2021. Records included in this study were from 34 642 patients treated in geographically diverse oncology practices in the US with a diagnosis of any of the following cancers: bladder, brain, lung, esophagus, cholangiocarcinoma, head and neck, breast, ovarian, pancreatic, prostate, endometrial, and colorectal. The rate of germline findings (ie, single-nucleotide variants and small insertions or deletions) detected in 50 reportable hereditary cancer genes was calculated for cancer types lacking guidelines for germline testing (bladder, brain, lung, esophagus, cholangiocarcinoma, and head and neck) and cancer types for which germline testing is frequently performed (breast, ovarian, pancreatic, prostate, endometrial, and colorectal). Same-gene second somatic hits were assessed to provide a comprehensive assessment on genomic drivers. Of 34 642 patients, 18 888 were female (54.5%); of 27 498 patients whose age at diagnosis was known, mean (SD) age was 62.23 (3.36) years. A total of 2534 of 34 642 patients (7.3%) harbored pathogenic or likely pathogenic germline variants. Within the tumor types lacking testing guidelines, germline mutations were at 6.6% (79/1188) in bladder cancer and 5.8% (448/7668) in lung cancer. This study may present the largest retrospective analysis to date of deidentified real-world data from patients diagnosed with advanced cancer with tumor/normal matched sequencing data and the prevalence of pathogenic or likely pathogenic germline variants in cancer types lacking hereditary cancer testing guidelines. The findings suggest there may be clinical implications for patients and their at-risk family members in cancers for which germline assessment primarily based on the cancer diagnosis is rarely obtained.

Defining Novel DNA Virus-Tumor Associations and Genomic Correlates Using Prospective Clinical Tumor/Normal Matched Sequencing Data

This study is the largest analysis of DNA viruses in solid tumors with associated genomics. To achieve this, a novel method for discovery of DNA viruses from matched tumor/normal next-generation sequencing samples was developed and validated. This method performed comparably to reference methods for the detection of high-risk (HR) human papilloma virus (HPV) (area under the receiver operating characteristic curve=0.953). After virus identification in 48,148 consecutives samples from 42,846 unique patients, novel virus tumor associations were established by segregating tumor types to determine whether each DNA virus was enriched in each of the tumor types compared with the remaining cohort. All firmly established solid tumor-virus associations (eg, HR HPV in cervical cancer) were confirmed, and the novel associations discovered included: human herpes virus 6 in neuroblastoma, human herpes virus 7 in esophagogastric cancer, and HPV42 in digital papillary adenocarcinoma. Theseassociations were confirmed in an independent validation cohort. HR HPV- and Epstein-Barr virus-associated tumors showed newly discovered genomic associations, including a lower tumor mutation burden. The study demonstrated the ability to study the role of DNA viruses in human cancer from clinical genomics data and established the largest cohort that can be utilized as a validation set for future discovery efforts.

Molecular identification of trematode parasites infecting the freshwater snail Bithynia siamensis goniomphalos in Thailand.

Digenetic trematodes are important parasites of humans and animals. They have complex life cycles and typically infect a gastropod as the first intermediate host. Bithynia siamensis goniomphalos, the first intermediate host of the liver fluke, Opisthorchis viverrini, harbours a wide variety of other trematode species. Morphological details of cercariae of 20 trematode taxa from B. s. goniomphalos, collected mainly in Thailand from 2009 to 2014, were provided in an earlier paper. Correct identification to the species or genus level based on morphology of these cercariae is generally not possible. Therefore, we used molecular data to improve identification and to investigate the diversity of the species of trematodes infecting B. s. goniomphalos. We were successful in extracting, amplifying and sequencing portions of the 28S ribosomal RNA (rRNA) gene for 19 of these 20 types of cercaria, and the internal transcribed spacer 2 region for 18 types. BLAST searches in GenBank and phylogenetic trees inferred from the 28S rRNA sequences identified members of at least nine superfamilies and 12 families. Only a few cercariae could be assigned confidently to genus or species on the basis of the sequence data. Matching sequence data from named adult trematodes will be required for definitive identification. There is clearly a great diversity of trematode species utilizing B. s. goniomphalos in Thailand.

Abstract 5310: Chromatin accessibility landscape and transcriptome of castration resistant prostate cancers reveals novel subtypes and diverse master regulators

Abstract Castration-resistant prostate cancer (CRPC) is a heterogeneous disease with diverse drivers and mechanisms of resistance to androgen receptor (AR) therapy. We generated ATAC-seq and RNA-seq data for twenty-four metastatic human prostate cancer organoids and cell lines. Integration of chromatin accessibility profiles and transcriptomes revealed four subtypes: androgen-receptor(AR)-dependent, neuroendocrine, Wnt-dependent and epithelial mesenchymal transition (EMT). The transcriptomic signatures obtained from these four subtypes enable the classification of 100 metastatic prostate cancer patient samples from Institute Precision Medicine (IPM) and 270 published samples from SU2C study, revealing potential therapeutic vulnerabilities. Furthermore, using novel computational algorithms we constructed regulatory networks and identified the master regulators of each subtype. Currently we're carrying out western blot and quantitative PCR to confirm the subtypes of all prostate cancer models we use, and using drug sensitivity test, CRISPR knockout and cell competition assay to validate the functions of candidates in each subtype. Our study has characterized global chromatin accessibility landscape and transcriptome in the largest number of metastatic prostate cancer models, which revealed novel subtypes and corresponding tumor drivers. Collectively, these organoids, cell lines and matching sequence data provide a resource to the community to study various CRPC models. The molecular classification and corresponding master regulators reveal new drug targets and could potentially guide future therapeutic studies. Citation Format: Fanying Tang, Chen Khuan Wong, Sandra Cohen, Cindy Lee, Minwei Liu, Rohan Bareja, Kenneth Eng, Shaham Beg, Loredana Puca, Cora Sternberg, Juan Miguel Mosquera, Himisha Beltran, Andrea Sboner, Yu Chen, Ekta Khurana. Chromatin accessibility landscape and transcriptome of castration resistant prostate cancers reveals novel subtypes and diverse master regulators [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5310.

Pathogenesis of multiple pancreatic cancers involves multicentric carcinogenesis and intrapancreatic metastasis.

There are increased opportunities in oncology clinics to identify multiple pancreatic ductal adenocarcinomas (PDAC) that co‐occur simultaneously or arise metachronously in the pancreatic parenchyma, yet their pathogenesis remains elusive. We hypothesized that two potential pathways, multicentric carcinogenesis and intrapancreatic metastasis, might contribute to forming multiple PDAC. Among 241 resected cases, we identified 20 cancer nodules from nine patients with multiple PDAC (six with synchronous PDAC, one with metachronous PDAC, and two with both synchronous and metachronous PDAC). Integrated clinical, pathological, and mutational analyses, using TP53 and SMAD4 immunostaining and targeted next‐generation sequencing of 50 cancer‐related genes, were conducted to examine the intertumor relationships. Four of the nine patients were assessed as having undergone multicentric carcinogenesis because of heterogeneity of immunohistochemical and/or mutation characteristics. In contrast, tumors in the other five patients showed intertumor molecular relatedness. Two of these five patients, available for matched sequencing data, showed two or more shared mutations. Moreover, all the smaller nodules in these five patients showed identical TP53 and SMAD4 expression patterns to the corresponding main tumors. Consequently, these five patients were considered to have undergone intrapancreatic metastasis. None of the five smaller nodules arising from intrapancreatic metastasis was accompanied by pancreatic intraepithelial neoplasia, and three of them were tiny (≤1mm). Patients whose tumors resulted from intrapancreatic metastasis appeared to have higher disease stages and worse outcome than those with tumors from multicentric carcinogenesis. Our results provide insight into pancreatic carcinogenesis, showing that the development of multiple PDAC involves distinct evolutionary paths that potentially affect patient prognosis.

Rapid analysis of bacterial composition in prosthetic joint infection by 16S rRNA metagenomic sequencing.

ObjectivesProsthetic joint infection (PJI) is the most common cause of arthroplasty failure. However, infection is often difficult to detect by conventional bacterial cultures, for which false-negative rates are 23% to 35%. In contrast, 16S rRNA metagenomics has been shown to quantitatively detect unculturable, unsuspected, and unviable pathogens. In this study, we investigated the use of 16S rRNA metagenomics for detection of bacterial pathogens in synovial fluid (SF) from patients with hip or knee PJI.MethodsWe analyzed the bacterial composition of 22 SF samples collected from 11 patients with PJIs (first- and second-stage surgery). The V3 and V4 region of bacteria was assessed by comparing the taxonomic distribution of the 16S rDNA amplicons with microbiome sequencing analysis. We also compared the results of bacterial detection from different methods including 16S metagenomics, traditional cultures, and targeted Sanger sequencing.ResultsPolymicrobial infections were not only detected, but also characterized at different timepoints corresponding to first- and second-stage exchange arthroplasty. Similar taxonomic distributions were obtained by matching sequence data against SILVA, Greengenes, and The National Center for Biotechnology Information (NCBI). All bacteria isolated from the traditional culture could be further identified by 16S metagenomics and targeted Sanger sequencing.ConclusionThe data highlight 16S rRNA metagenomics as a suitable and promising method to detect and identify infecting bacteria, most of which may be uncultivable. Importantly, the method dramatically reduces turnaround time to two days rather than approximately one week for conventional cultures.Cite this article: M-F. Chen, C-H. Chang, C. Chiang-Ni, P-H. Hsieh, H-N. Shih, S. W. N. Ueng, Y. Chang. Rapid analysis of bacterial composition in prosthetic joint infection by 16S rRNA metagenomic sequencing. Bone Joint Res 2019;8:367–377. DOI: 10.1302/2046-3758.88.BJR-2019-0003.R2.

Host-centric Proteomics of Stool: A Novel Strategy Focused on intestinal Responses to the Gut Microbiota

The diverse community of microbes that inhabits the human bowel is vitally important to human health. Host-expressed proteins are essential for maintaining this mutualistic relationship and serve as reporters on the status of host-microbiota interaction. Therefore, unbiased and sensitive methods focused on host proteome characterization are needed. Herein we describe a novel method for applying shotgun proteomics to the analysis of feces, focusing on the secreted host proteome. We have conducted the most complete analysis of the extracellular mouse gut proteome to date by employing a gnotobiotic mouse model. Using mice colonized with defined microbial communities of increasing complexity or a complete human microbiota ('humanized'), we show that the complexity of the host stool proteome mirrors the complexity of microbiota composition. We further show that host responses exhibit signatures specific to the different colonization states. We demonstrate feasibility of this approach in human stool samples and provide evidence for a "core" stool proteome as well as personalized host response features. Our method provides a new avenue for noninvasive monitoring of host-microbiota interaction dynamics via host-produced proteins in stool.

Abstract LB-237: Human and microbial transcriptomics from lean and obese individuals with colorectal cancer: A comparison of Total and Poly A RNA sequencing from clinical samples.

Abstract Australia and New Zealand have the highest worldwide CRC incidence with CRC being the 2nd most commonly diagnosed cancer and the 3rd most common cause of cancer death among both men and women. CRC is a complex disease arising from the impact of environmental factors, including diet and lifestyle choices on different genetic backgrounds. Obesity and type 2 diabetes are significant risk factors for CRC, the levels of which are increasing in Australia. As a consequence CRC is projected to increase, being the most common Australian cancer by 2025. While the association of obesity with CRC has been reported by a number of studies, the mechanism\s that contribute to CRC development in the context of obesity are unknown. Understanding these mechanisms and potential genetic susceptibility is crucial for developing effective intervention and screening strategies. Recent evidence suggests that gut microbial communities are altered in obese individuals, resulting in a change in the predominant species and overall loss of community diversity but it is unknown if these changes impact CRC development or progression. We have established a comprehensive tissue, blood and microbial collection from 150 lean and obese colorectal cancer patients in the Hunter Region, Australia and commenced an integrative pilot next generation sequencing project to begin to unravel the link between obesity and CRC. Twelve individuals (6 lean and 6 obese) were selected for complementary next-generation sequencing; generating matched sequencing data sets (Total RNA-seq, Poly A RNA-seq, microbial RNA-seq and exome-seq) from normal colon, colon tumor, adipose and digesta samples samples. For this purpose, we have developed a method for simultaneously isolating human and microbial RNA from gut lumen of sufficient quality and quantity from limited material. Results presented will evaluate the differences in host and microbial transciptomics in normal colon and tumor tissue of lean and obese individuals with CRC and methodological comparisons between Total RNA-seq and Poly A RNA-seq will be reported. Citation Format: Desma M. Grice, Denis C. Bauer, Konsta Duesing, Dongmei Li, Paul Greenfield, Sarah Nielsen, Brian Draganic, Steve Smith, Peter Pockney, Rodney Scott, Garry N. Hannan. Human and microbial transcriptomics from lean and obese individuals with colorectal cancer: A comparison of Total and Poly A RNA sequencing from clinical samples. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr LB-237. doi:10.1158/1538-7445.AM2013-LB-237

Marine nematode taxonomy in the age of DNA: the present and future of molecular tools to assess their biodiversity

Abstract Molecular taxonomy is one of the most promising yet challenging fields of biology. Molecular markers such as nuclear and mitochondrial genes are being used in a variety of studies surveying marine nematode taxa. Sequences from more than 600 species have been deposited to date in online databases. These barcode sequences are assigned to 150 nominal species from 104 genera. There are 41 species assigned to Enoplea and 109 species to Chromadorea. Morphology-based surveys are greatly limited by processing speed, while barcoding approaches for nematodes are hampered by difficulties in matching sequence data with morphology-based taxonomy. DNA barcoding is a promising approach because some genes contain variable regions that are useful to discriminate species boundaries, discover cryptic species, quantify biodiversity and analyse phylogeny. We advocate a combination of several approaches in studies of molecular taxonomy, DNA barcoding and conventional taxonomy as a necessary step to enhance the knowledge of biodiversity of marine nematodes.

An integrated approach to fast and informative morphological vouchering of nematodes for applications in molecular barcoding

Molecular surveys of meiofaunal diversity face some interesting methodological challenges when it comes to interstitial nematodes from soils and sediments. Morphology-based surveys are greatly limited in processing speed, while barcoding approaches for nematodes are hampered by difficulties of matching sequence data with traditional taxonomy. Intermediate technology is needed to bridge the gap between both approaches. An example of such technology is video capture and editing microscopy, which consists of the recording of taxonomically informative multifocal series of microscopy images as digital video clips. The integration of multifocal imaging with sequence analysis of the D2D3 region of large subunit (LSU) rDNA is illustrated here in the context of a combined morphological and barcode sequencing survey of marine nematodes from Baja California and California. The resulting video clips and sequence data are made available online in the database NemATOL (http://nematol.unh.edu/). Analyses of 37 barcoded nematodes suggest that these represent at least 32 species, none of which matches available D2D3 sequences in public databases. The recorded multifocal vouchers allowed us to identify most specimens to genus, and will be used to match specimens with subsequent species identifications and descriptions of preserved specimens. Like molecular barcodes, multifocal voucher archives are part of a wider effort at structuring and changing the process of biodiversity discovery. We argue that data-rich surveys and phylogenetic tools for analysis of barcode sequences are an essential component of the exploration of phyla with a high fraction of undiscovered species. Our methods are also directly applicable to other meiofauna such as for example gastrotrichs and tardigrades.