Annals Of Translational Medicine, 2020
Authors
Cally J Ho, Sharon M Gorski

Annals of Oncology
Authors
Isabel Aragon, Daniel J Khalaf, Rebeca Lozano, Matti Annala, Sinja Taavitsainen, David Lorente, Daygen L Finch, Nuria Romero-Laorden, Joanna Vergidis, Ylenia Cendon, Conrad D Oja, Maria I Pacheco, Muhammad Zulfiqar, Martin Gleave, Alexander W Wyatt, David Olmos, Elena Castro, Kim N Chi
Publication Abstract

Background: A common polymorphism (1245A>C) in the HSD3B1 gene is associated with increased de novo synthesis of androgens and worse outcomes in men treated with androgen-deprivation therapy for metastatic castration-sensitive prostate cancer. The objective of the study was to determine whether this polymorphism is associated with outcomes for metastatic castration-resistant prostate cancer (mCRPC) treated with abiraterone or enzalutamide.

Patients and methods: A total of 547 patients treated with abiraterone or enzalutamide from two prospective cohorts were evaluated. The HSD3B1 genotype was determined by targeted sequencing and/or TaqMan single-nucleotide polymorphism genotyping. In cohort 1, patients were randomized to receive abiraterone + prednisone or enzalutamide. In cohort 2, patients received either agent according to investigator's choice. Prostate-specific antigen (PSA) response rate, time to PSA progression (TTPP), time to progression (TTP) and overall survival were determined. Associations between HSD3B1 genotypes and outcomes were evaluated via univariate Cox regression. Multivariable Cox model was used to determine the independent association of each covariate.

Results: The HSD3B1 variant genotype (CC) was present in 15% of patients and was associated with worse TTP [hazard ratio (HR) 1.31, 95% confidence interval (CI) 1.02-1.67, P = 0.032] and PSA response rates (48% for CC versus 62% and 65% for AA and AC, respectively [P = 0.019]), with no significant difference in TTPP (HR 1.28, 95% CI 0.99-1.66, P = 0.064). The effect of genotype was similar for treatment with abiraterone or enzalutamide with a negative test for interaction for TTPP (P = 0.997) and TTP (P = 0.749). Multivariable analysis did not show a significant association between genotype and TTP or TTPP.

Conclusions: The HSD3B1 (CC) genotype was associated with shorter TTP and lower PSA response rate in patients with mCRPC treated with abiraterone or enzalutamide. However, the CC genotype did not provide prognostic information beyond that conferred by standard clinical variables, suggesting that it may not be a suitable stand-alone biomarker in mCRPC.

Journal Of Medical Genetics, 2020
Authors
Alexandra Roston, Dan Evans, Harinder Gill, Margaret McKinnon, Bertrand Isidor, Benjamin Cogné, Jill Mwenifumbo, Clara van Karnebeek, Jianghong An, Steven J M Jones, Matthew Farrer, Michelle Demos, Mary Connolly, William T Gibson
Publication Abstract

Dysfunction of histone methyltransferases and chromatin modifiers has been implicated in complex neurodevelopmental syndromes and cancers.

Genetics, 2020
Authors
Aleksandar Vujin, Steven J Jones, Monique Zetka
Publication Abstract

DNA double-strand breaks (DSBs) are a particularly lethal form of DNA damage that must be repaired to restore genomic integrity. Canonical non-homologous end joining (NHEJ), is the widely conserved pathway that detects and directly ligates the broken ends to repair the DSB. These events globally require the two proteins that form the Ku ring complex, Ku70 and Ku80, and the terminal ligase Lig4. While the NHEJ pathway in vertebrates is elaborated by more than a dozen factors of varying conservation and is similarly complex in other eukaryotes, the entire known NHEJ toolkit in

Nature Methods, 2020
Authors
Ottar N Bjørnstad, Katriona Shea, Martin Krzywinski, Naomi Altman

Clinical Lymphoma, Myeloma & Leukemia, 2020
Authors
Wasithep Limvorapitak, Jeremy Parker, Curtis Hughesman, Kelly McNeil, Lynda Foltz, Aly Karsan
Publication Abstract

JAK2 V617F mutation is one of the major criteria in the diagnosis of myeloproliferative neoplasms (MPN) and its variant allele fraction (VAF) determines the disease phenotype and outcomes. This study aimed to define characteristics and outcomes of patients with JAK2 V617F VAF < 2% compared to patients with VAF 2%-10%.

Frontiers In Veterinary Science, 2020
Authors
Lauren C Tindale, Waren Baticados, Jun Duan, Michelle Coombe, Agatha Jassem, Patrick Tang, Miguel Uyaguari-Diaz, Richard Moore, Chelsea Himsworth, William Hsiao, Natalie Prystajecky
Publication Abstract

Early virus detection and characterization is key to successful avian influenza virus (AIV) surveillance for the health of humans as well as domestic poultry. We explored a novel sampling approach and molecular strategy using sediment from wetlands and outdoor waterbodies on poultry farms as a population-level proxy of AIV activity in waterfowls. RNA was extracted using the MoBio RNA PowerSoil Total RNA isolation kit with additional chloroform extraction steps to reduce PCR inhibition. AIV matrix protein (MP) gene was detected in 42/345 (12.2%) samples by RT-qPCR; an additional 64 (18.6%) samples showed evidence of amplification below the threshold and were categorized as "suspect positive." Enrichment-based targeted resequencing (TR) identified AIV sequences in 79/345 (22.9%) samples. TR probes were designed for MP, hemagglutinin (HA), and neuraminidase (NA), however PB2 and PA were also identified. Although RT-qPCR and TR only had fair-moderate agreement, RT-qPCR positivity was predictive of TR-positivity both when using only strictly positive RT-qPCR samples (OR = 11.29) and when coding suspect positives as positive (OR = 7.56). This indicates that RT-qPCR could be used as a screening tool to select samples for virus characterization by TR and that future studies should consider RT-qPCR suspect positives to be positive samples for subsequent resequencing when avoiding false negatives is the priority, for instance in a diagnostic test, and to consider suspect positives to be negative samples when cost efficiency over a large number of samples is the priority, for instance in a surveillance program. A total of 13 HA (H1-7, H9-13, H16) and 9 NA (N1-9) subtypes were identified, with a maximum of 8 HA and 8 NA subtypes detected in a single sample. The optimized RNA extraction and targeted resequencing methods provided increased virus detection and subtyping characterization that could be implemented in an AIV surveillance system.

British Journal of Cancer
Authors
Filipe Correia Martins, Dominique-Laurent Couturier, Anna Paterson, Anthony N. Karnezis, Christine Chow, Tayyebeh M. Nazeran, Adekunle Odunsi, Aleksandra Gentry-Maharaj, Aleksandra Vrvilo, Alexander Hein, Aline Talhouk, Ana Osorio, Andreas D. Hartkopf, Angela Brooks-Wilson, Anna DeFazio, Anna Fischer, Arndt Hartmann, Brenda Y. Hernandez, Bryan M. McCauley, Chloe Karpinskyj, Christiani B. de Sousa, Claus Høgdall, Daniel G. Tiezzi, Esther Herpel, Florin Andrei Taran, Francesmary Modugno, Gary Keeney, Gregg Nelson, Helen Steed, Honglin Song, Hugh Luk, Javier Benitez, Jennifer Alsop, Jennifer M. Koziak, Jenny Lester, Joseph H. Rothstein, Jurandyr M. de Andrade, Lene Lundvall, Luis Paz-Ares, Luis Robles-Díaz, Lynne R. Wilkens, Maria J. Garcia, Maria P. Intermaggio, Marie-Lyne Alcaraz, Mary A. Brett, Matthias W. Beckmann, Mercedes Jimenez-Linan, Michael Anglesio, Michael E. Carney, Michael Schneider, Nadia Traficante, Nadja Pejovic, Naveena Singh, Nhu Le, Peter Sinn, Prafull Ghatage, Ramona Erber, Robert Edwards, Robert Vierkant, Roberta B. Ness, Samuel Leung, Sandra Orsulic, Sara Y. Brucker, Scott H. Kaufmann, Sian Fereday, Simon Gayther, Stacey J. Winham, Stefan Kommoss, Tanja Pejovic, Teri A. Longacre, Valerie McGuire, Valerie Rhenius, Weiva Sieh, Yurii B. Shvetsov, Alice S. Whittemore, Annette Staebler, Beth Y. Karlan, Cristina Rodriguez-Antona, David D. Bowtell, Ellen L. Goode, Estrid Høgdall, Francisco J. Candido dos Reis, Jacek Gronwald, Jenny Chang-Claude, Kirsten B. Moysich, Linda E. Kelemen, Linda S. Cook, Marc T. Goodman, Peter A. Fasching, Robin Crawford, Suha Deen, Usha Menon, David G. Huntsman, Martin Köbel, Susan J. Ramus, Paul D. P. Pharoah & James D. Brenton
Publication Abstract

Background

PTEN loss is a putative driver in histotypes of ovarian cancer (high-grade serous (HGSOC), endometrioid (ENOC), clear cell (CCOC), mucinous (MOC), low-grade serous (LGSOC)). We aimed to characterise PTEN expression as a biomarker in epithelial ovarian cancer in a large population-based study.

Methods

Tumours from 5400 patients from a multicentre observational, prospective cohort study of the Ovarian Tumour Tissue Analysis Consortium were used to evaluate associations between immunohistochemical PTEN patterns and overall survival time, age, stage, grade, residual tumour, CD8+ tumour-infiltrating lymphocytes (TIL) counts, expression of oestrogen receptor (ER), progesterone receptor (PR) and androgen receptor (AR) by means of Cox proportional hazard models and generalised Cochran–Mantel–Haenszel tests.

Results

Downregulation of cytoplasmic PTEN expression was most frequent in ENOC (most frequently in younger patients; p value = 0.0001) and CCOC and was associated with longer overall survival in HGSOC (hazard ratio: 0.78, 95% CI: 0.65–0.94, p value = 0.022). PTEN expression was associated with ER, PR and AR expression (p values: 0.0008, 0.062 and 0.0002, respectively) in HGSOC and with lower CD8 counts in CCOC (p value < 0.0001). Heterogeneous expression of PTEN was more prevalent in advanced HGSOC (p value = 0.019) and associated with higher CD8 counts (p value = 0.0016).

Conclusions

PTEN loss is a frequent driver in ovarian carcinoma associating distinctly with expression of hormonal receptors and CD8+ TIL counts in HGSOC and CCOC histotypes.

Nature Genetics
Authors
Shuang G Zhao, William S Chen, Haolong Li, Adam Foye, Meng Zhang, Martin Sjöström, Rahul Aggarwal, Denise Playdle, Arnold Liao, Joshi J Alumkal, Rajdeep Das, Jonathan Chou, Junjie T Hua, Travis J Barnard, Adina M Bailey, Eric D Chow, Marc D Perry, Ha X Dang, Rendong Yang, Ruhollah Moussavi-Baygi, Li Zhang, Mohammed Alshalalfa, S Laura Chang, Kathleen E Houlahan, Yu-Jia Shiah, Tomasz M Beer, George Thomas, Kim N Chi, Martin Gleave, Amina Zoubeidi, Robert E Reiter, Matthew B Rettig, Owen Witte, M Yvonne Kim, Lawrence Fong, Daniel E Spratt, Todd M Morgan, Rohit Bose, Franklin W Huang, Hui Li, Lisa Chesner, Tanushree Shenoy, Hani Goodarzi, Irfan A Asangani, Shahneen Sandhu, Joshua M Lang, Nupam P Mahajan, Primo N Lara, Christopher P Evans, Phillip Febbo, Serafim Batzoglou, Karen E Knudsen, Housheng H He, Jiaoti Huang, Wilbert Zwart, Joseph F Costello, Jianhua Luo, Scott A Tomlins, Alexander W Wyatt, Scott M Dehm, Alan Ashworth, Luke A Gilbert, Paul C Boutros, Kyle Farh, Arul M Chinnaiyan, Christopher A Maher, Eric J Small, David A Quigley, Felix Y Feng
Publication Abstract

Although DNA methylation is a key regulator of gene expression, the comprehensive methylation landscape of metastatic cancer has never been defined. Through whole-genome bisulfite sequencing paired with deep whole-genome and transcriptome sequencing of 100 castration-resistant prostate metastases, we discovered alterations affecting driver genes that were detectable only with integrated whole-genome approaches. Notably, we observed that 22% of tumors exhibited a novel epigenomic subtype associated with hypermethylation and somatic mutations in TET2DNMT3BIDH1 and BRAF. We also identified intergenic regions where methylation is associated with RNA expression of the oncogenic driver genes ARMYC and ERG. Finally, we showed that differential methylation during progression preferentially occurs at somatic mutational hotspots and putative regulatory regions. This study is a large integrated study of whole-genome, whole-methylome and whole-transcriptome sequencing in metastatic cancer that provides a comprehensive overview of the important regulatory role of methylation in metastatic castration-resistant prostate cancer.

Autophagy, 2020
Authors
Cally J Ho, Gayathri Samarasekera, Katharina Rothe, Jing Xu, Kevin C Yang, Emily Leung, Michelle Chan, Xiaoyan Jiang, Sharon M Gorski.
Publication Abstract

Proteome profiling and global protein-interaction approaches have significantly improved our knowledge of the protein interactomes of autophagy and other cellular stress-response pathways. New discoveries regarding protein complexes, interaction partners, interaction domains, and biological roles of players that are part of these pathways are emerging. The fourth Vancouver Autophagy Symposium showcased research that expands our understanding of the protein interaction networks and molecular mechanisms underlying autophagy and other cellular stress responses in the context of distinct stressors. In the keynote presentation, Dr. Wade Harper described his team's recent discovery of a novel reticulophagy receptor for selective autophagic degradation of the endoplasmic reticulum, and discussed molecular mechanisms involved in ribophagy and non-autophagic ribosomal turnover. In other presentations, both omic and targeted approaches were used to reveal molecular players of other cellular stress responses including amyloid body and stress granule formation, anastasis, and extracellular vesicle biogenesis. Additional topics included the roles of autophagy in disease pathogenesis, autophagy regulatory mechanisms, and crosstalk between autophagy and cellular metabolism in anti-tumor immunity. The relationship between autophagy and other cell stress responses remains a relatively unexplored area in the field, with future investigations required to understand how the various processes are coordinated and connected in cells and tissues.

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