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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2011
    In:  Nature Precedings ( 2011-6-16)
    In: Nature Precedings, Springer Science and Business Media LLC, ( 2011-6-16)
    Type of Medium: Online Resource
    ISSN: 1756-0357
    Language: Unknown
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2011
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  • 2
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2018
    In:  Cancer Research Vol. 78, No. 13_Supplement ( 2018-07-01), p. 424-424
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 424-424
    Abstract: Introduction: Prostate cancer (PC) exhibits a spectrum of genomic aberrations, a subset of which associate with responses to specific therapeutics. In particular, mutations in genes involved in DNA repair processes expose therapeutic vulnerabilities that include PARP inhibitors and DNA-damaging chemotherapy for homology-directed repair(HR) defects and immune checkpoint blockade for mismatch repair (MMR) defects. Deploying appropriate therapy is dependent on accurate tumor classification. Experimental Procedures: We evaluated whole-exome sequences derived from localized (n = 465) and metastatic (n = 208) PCs to identify mutations and structural aberrations predicted to disrupt or alter the function of genes involved in DNA repair processes. We annotated all tumors for trinucleotide (COSMIC) mutation signatures by comparing somatic alterations in tumor versus paired normal exomes. We compared the type and frequency of presumed pathogenic mutations, tumor ploidy, copy number aberrations, and mutational signatures between primary and metastatic tumors and evaluated associations between specific DNA repair gene aberrations and mutation signatures. Results: Overall, 54% of localized PCs and 24.5% of metastatic PCs had a component of their somatic mutation burden associated with a mutation signature indicative of a DNA repair defect. Metastatic PCs had significantly higher numbers of somatic mutations (n=223) compared to primary PCs (n=93) (p & lt;0.008). Aneuploid and hypermutated tumors are also more common in metastatic PCs compared to primary PCs. Tumors with high LOH ( & gt;0.1) scores were enriched for pathogenic mutations in BRCA1/2 and lowest LOH scores were observed in tumors with mutation/loss of CDK12, which were near-diploid. In addition to relatively frequent aberrations in BRCA2, BRCA1 and ATM, we found CDK12 mutations in ~1% of primary PCs and 5.3% of metastatic PCs. Tumors with BRCA1/2 loss or ATM and RecQ-Helicase pathway aberration exhibited larger amplifications and loss events, whereas PCs with CDK12 aberrations demonstrated a high number (n & gt;73 to 261) of focal (500b-1mb range) amplifications with rare focal losses. Conclusions: 102 individual metastatic cases with some fraction of HR-defect signature and 41 (~40%) of them are without any bona fide HR pathway mutations. DNA repair gene (DRG) aberrations are common in metastatic PC and associate with distinct mutational signatures and structural aberrations that partition PCs into distinct subtypes. Epigenetic processes may contribute to HR signatures in tumors where DRG mutations were not identified. Preclinical and clinical studies are required to determine if mutation signatures are accurate predictors of responses to therapeutics. Thus, with these signatures, we have proposed a few molecular subcategories of prostate tumors and such information can be harnessed for future precision cancer therapies. Citation Format: Navonil De Sarkar, Emily Kohlbrenner, Ilsa Coleman, Peter S. Nelson. Defining prostate cancer subtypes by genomic features associated with defects in DNA repair processes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 424.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 3
    In: ELECTROPHORESIS, Wiley, Vol. 33, No. 23 ( 2012-12), p. 3564-3573
    Abstract: Mismatches at the 3′end of /or within a primer are reported to affect the efficiency of PCR and cause allele drop. Here, we report preferential amplification of one haplotype and misgenotyping, when double heterozygotes at NAT1 (rs1057126 and rs15561) were genotyped by sequencing and PCR‐RFLP methods using mismatch reverse primers located next to the target SNP. Detailed study revealed highest (100%) and lowest (0%) misgenotyping when the mismatch was at the 3rd and 15th nucleotide positions from 3′ end of the primer, respectively. But, the same primers, without any mismatch genotyped heterozygotes correctly. Homozygotes can always be detected correctly irrespective of mismatch position in the primer. Similar results were observed for two SNPs (rs12947788 and rs 12951053) at TP53 . Using mismatch NAT1 reverse primers, located three nucleotides away from the target SNP, both TaqMan and sequencing methods showed preferential synthesis of one haplotype strand and misgenotyping in heterozygotes, respectively. So, mismatch primer, located next to target SNP, should be avoided to genotype heterozygotes, since, PCR and sequencing based genotyping methods may lead the investigators to report faulty allelic and genotypic frequencies. This study mimics a situation when an unknown variation is present in the primer‐binding sites of both chromosomes.
    Type of Medium: Online Resource
    ISSN: 0173-0835 , 1522-2683
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 1475486-1
    SSG: 12
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  • 4
    In: Gene, Elsevier BV, Vol. 593, No. 1 ( 2016-11), p. 58-63
    Type of Medium: Online Resource
    ISSN: 0378-1119
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 1491012-3
    SSG: 12
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  • 5
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Prevention Research Vol. 16, No. 1_Supplement ( 2023-01-01), p. P008-P008
    In: Cancer Prevention Research, American Association for Cancer Research (AACR), Vol. 16, No. 1_Supplement ( 2023-01-01), p. P008-P008
    Abstract: Background: With the adoption of potent AR signaling inhibitors, there has been a prominent rise in the frequency of treatment-resistant tumor phenotypes. Highly aggressive transdifferentiated tumors may emerge as AR low or AR null prostate cancers (PCa) with or without neuroendocrine signatures. An accurate determination of these epigenetically diverse phenotypic subtypes has direct clinical implications, including therapy choice. Current approaches for disease subtype determination often require tissue biopsies, limiting due to the high risk of comorbidity. For a temporally evolving cancer, a minimally invasive molecular assay is urgently needed to determine disease subtypes accurately to guide clinical decisions. Methods & Results: Cell-free DNA assay emerging as a nextgen tool for cancer early detection and real-time tumor evolution monitoring tool. Cell-free DNA primarily consists of DNA protected by nucleosomes and DNA binding elements and is shed into the bloodstream by cells that undergo apoptosis. We hypothesized that a nucleosome protection map and transcriptional regulation could be reliably determined from circulating tumor DNA (ctDNA) analysis. This analysis can accurately classify advanced prostate cancer into epigenetically divergent subclasses such as adenocarcinoma (ARPC) and neuroendocrine (NEPC). For developing robust phenotype-specific signatures, we performed whole-genome sequencing on plasma cfDNA from 30 PDX lines to achieve moderately deep coverage ( & gt;10X) of “pure” human ctDNA sequence data. We applied an analysis framework “Griffin” to determine transcription factor binding sites and transcription start site nucleosome protection signatures, predictive of specific transcription factor activity. We also generated H3K27ac, H3K27me1, and H3K27me3 histone profiles from resected PDX tumors and observed that ctDNA fragmentation and coverage patterns are consistent with histone modifications. Guided by differential nucleosome profiles, we derived a novel ctDNA fragment size variability signature that accurately predicted expression deregulation for phenotype-defining genes. These signatures helped us build an unsupervised statistical model that accurately classified PCa subtypes. We applied our model to 2 clinical cohorts and attained 96% accuracy for classifying patients with well-defined subtypes of advanced PCa, using low coverage sequencing. Conclusion: We have developed a ctDNA analysis method that can accurately classify epigenetically diverse subtypes of advanced prostate cancer, spanning AR active and neuroendocrine subtypes. This scalable and cost-effective approach is also suitable for longitudinal monitoring and prediction of treatment-emergent prostate cancer resulting from therapeutic resistance. Citation Format: Navonil De Sarkar. Native Cell-Free DNA sequence analysis reliably infers epigenetically diverse subtypes of prostate cancer. [abstract]. In: Proceedings of the AACR Special Conference: Precision Prevention, Early Detection, and Interception of Cancer; 2022 Nov 17-19; Austin, TX. Philadelphia (PA): AACR; Can Prev Res 2023;16(1 Suppl): Abstract nr P008.
    Type of Medium: Online Resource
    ISSN: 1940-6215
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 6
    In: Epigenomics, Future Medicine Ltd, Vol. 11, No. 5 ( 2019-04), p. 473-487
    Abstract: Aim: The methylome associated with miRNA loci was investigated in oral cancer to explore tobacco specific methylation and potential biomarkers for patient survival. Methods: Methylome data was generated from 16 pairs of cancer-normal tissues by reduced representation bisulfite sequencing method. Differentially methylated regions were identified using the DMAP pipeline. In silico validation and Kaplan–Meier survival analyses were performed on The Cancer Genome Atlas data based on our miRNA methylome data. Results: A total of 4310 unique differentially methylated regions, mapping to 144 miRNA loci, were identified. Three distinct groups of miRNAs were differentially methylated in cancer tissues from smokers, chewers and mixed habitués. Hypermethylation of miR-503, miR-200a/b, miR-320b and miR-489 was associated with worse 5-year survival. Conclusion: Differential methylation patterns in miRNA loci are associated with poor survival underscoring their potential as predictive and prognostic biomarkers in oral cancer.
    Type of Medium: Online Resource
    ISSN: 1750-1911 , 1750-192X
    Language: English
    Publisher: Future Medicine Ltd
    Publication Date: 2019
    SSG: 12
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  • 7
    In: Cancer Medicine, Wiley, Vol. 11, No. 22 ( 2022-11), p. 4332-4340
    Abstract: Pathogenic germline mutations in several rare penetrant cancer predisposition genes are associated with an increased risk of aggressive prostate cancer (PC). Our objectives were to determine the prevalence of pathogenic germline mutations in men with low‐risk PC on active surveillance, and assess whether pathogenic germline mutations associate with grade reclassification or adverse pathology, recurrence, or metastases, in men treated after initial surveillance. Methods Men prospectively enrolled in the Canary Prostate Active Surveillance Study (PASS) were retrospectively sampled for the study. Germline DNA was sequenced utilizing a hereditary cancer gene panel. Mutations were classified according to the American College of Clinical Genetics and Genomics' guidelines. The association of pathogenic germline mutations with grade reclassification and adverse characteristics was evaluated by weighted Cox proportional hazards modeling and conditional logistic regression, respectively. Results Overall, 29 of 437 (6.6%) study participants harbored a pathogenic germline mutation of which 19 occurred in a gene involved in DNA repair (4.3%). Eight participants (1.8%) had pathogenic germline mutations in three genes associated with aggressive PC: ATM , BRCA1 , and BRCA2 . The presence of pathogenic germline mutations in DNA repair genes did not associate with adverse characteristics (univariate analysis HR = 0.87, 95% CI: 0.36–2.06, p  = 0.7). The carrier rates of pathogenic germline mutations in ATM , BRCA1 , and BRCA2 did not differ in men with or without grade reclassification (1.9% vs. 1.8%). Conclusion The frequency of pathogenic germline mutations in penetrant cancer predisposition genes is extremely low in men with PC undergoing active surveillance and pathogenic germline mutations had no apparent association with grade reclassification or adverse characteristics.
    Type of Medium: Online Resource
    ISSN: 2045-7634 , 2045-7634
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
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  • 8
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2017
    In:  Cancer Research Vol. 77, No. 13_Supplement ( 2017-07-01), p. 1484-1484
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 1484-1484
    Abstract: Introduction: Oral cancer is one of the leading causes of cancer burden in India. Studies over the years have enforced the role of deregulated microRNA expression in oral cancer development and progression. Incidentally not much is known about the cause of microRNA deregulation or to what extent can it be attributed to methylation. Established genome wide microarray platforms like 450K Illumina Bead Chip have probes for very limited number of microRNAs along with restriction on distance of the probes from microRNA transcription start site. We have used genome wide methylation sequencing approach RRBS to get deeper insight on microRNA methylation. Aim: Genome wide methylation profile of 15 paired oral cancer and adjacent normal tissue was compared to generate a detailed map of microRNA methylation in oral cancer. The methylation results were further correlated to microRNA expression data generated on a subset of these samples. Methodology: RRBS based global methylation sequencing of 15 pairs of samples was conducted on HiSeq 2500 with an average 10X depth. Analyses were done using DMAP software. Previously generated TLDA based microRNA expression data was used for correlation analysis. Result: Similar to protein coding genes, microRNAs also showed methylation based clustering. Interestingly majority of methylation hits were more than 2kb upstream of miRNA transcription start site which is generally not considered in known microarrays. Distribution of hypo and hyper methylation sites is different across the various CpG features like cores and shelves as well as across chromosomes. MicroRNAs like mir-181c, miR-99b, miR-23a among others showed significant negative correlation between methylation frequency and expression level. IPA based pathway analysis emphasized repression of apoptosis and cell death pathways along with activation of cell proliferation and colony formation. Conclusion: Understanding the role of methylation in microRNA deregulation could help us detect and possibly prevent a chain of events, which lead to disrupted pathways eventually leading to cancer, at the onset. Note: This abstract was not presented at the meeting. Citation Format: Roshni Roy, Aniruddha Chatterjee, Navonil De Sarkar, Bidyut Roy. Genome wide study reveal microrna based methylation phenotype in oral cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1484. doi:10.1158/1538-7445.AM2017-1484
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 9
    In: PLOS ONE, Public Library of Science (PLoS), Vol. 12, No. 9 ( 2017-9-8), p. e0183606-
    Type of Medium: Online Resource
    ISSN: 1932-6203
    Language: English
    Publisher: Public Library of Science (PLoS)
    Publication Date: 2017
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  • 10
    In: Cell, Elsevier BV, Vol. 173, No. 7 ( 2018-06), p. 1770-1782.e14
    Type of Medium: Online Resource
    ISSN: 0092-8674
    RVK:
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 187009-9
    detail.hit.zdb_id: 2001951-8
    SSG: 12
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