Mutational patterns in chemotherapy resistant muscle-invasive bladder cancer

Despite continued widespread use, the genomic effects of cisplatin-based chemotherapy and implications for subsequent treatment are incompletely characterized. Here, we analyze whole exome sequencing of matched pre- and post-neoadjuvant cisplatin-based chemotherapy primary bladder tumor samples from 30 muscle-invasive bladder cancer patients. We observe no overall increase in tumor mutational burden post-chemotherapy, though a significant proportion of subclonal mutations are unique to the matched pre- or post-treatment tumor, suggesting chemotherapy-induced and/or spatial heterogeneity. We subsequently identify and validate a novel mutational signature in post-treatment tumors consistent with known characteristics of cisplatin damage and repair. We find that post-treatment tumor heterogeneity predicts worse overall survival, and further observe alterations in cell-cycle and immune checkpoint regulation genes in post-treatment tumors. These results provide insight into the clinical and genomic dynamics of tumor evolution with cisplatin-based chemotherapy, suggest mechanisms of clinical resistance, and inform development of clinically relevant biomarkers and trials of combination therapies

Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge

This paper describes outcomes of the 2019 Cryo-EM Model Challenge. The goals were to (1) assess the quality of models that can be produced from cryogenic electron microscopy (cryo-EM) maps using current modeling software, (2) evaluate reproducibility of modeling results from different software developers and users and (3) compare performance of current metrics used for model evaluation, particularly Fit-to-Map metrics, with focus on near-atomic resolution. Our findings demonstrate the relatively high accuracy and reproducibility of cryo-EM models derived by 13 participating teams from four benchmark maps, including three forming a resolution series (1.8 to 3.1 Å). The results permit specific recommendations to be made about validating near-atomic cryo-EM structures both in the context of individual experiments and structure data archives such as the Protein Data Bank. We recommend the adoption of multiple scoring parameters to provide full and objective annotation and assessment of the model, reflective of the observed cryo-EM map density

A SARS-CoV-2 protein interaction map reveals targets for drug repurposing

The novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 2.3 million people, killed over 160,000, and caused worldwide social and economic disruption1,2. There are currently no antiviral drugs with proven clinical efficacy, nor are there vaccines for its prevention, and these efforts are hampered by limited knowledge of the molecular details of SARS-CoV-2 infection. To address this, we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins physically associated with each using affinity-purification mass spectrometry (AP-MS), identifying 332 high-confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (29 FDA-approved drugs, 12 drugs in clinical trials, and 28 preclinical compounds). Screening a subset of these in multiple viral assays identified two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the Sigma1 and Sigma2 receptors. Further studies of these host factor targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19

Ligand binding remodels protein side-chain conformational heterogeneity.

While protein conformational heterogeneity plays an important role in many aspects of biological function, including ligand binding, its impact has been difficult to quantify. Macromolecular X-ray diffraction is commonly interpreted with a static structure, but it can provide information on both the anharmonic and harmonic contributions to conformational heterogeneity. Here, through multiconformer modeling of time- and space-averaged electron density, we measure conformational heterogeneity of 743 stringently matched pairs of crystallographic datasets that reflect unbound/apo and ligand-bound/holo states. When comparing the conformational heterogeneity of side chains, we observe that when binding site residues become more rigid upon ligand binding, distant residues tend to become more flexible, especially in non-solvent-exposed regions. Among ligand properties, we observe increased protein flexibility as the number of hydrogen bonds decreases and relative hydrophobicity increases. Across a series of 13 inhibitor-bound structures of CDK2, we find that conformational heterogeneity is correlated with inhibitor features and identify how conformational changes propagate differences in conformational heterogeneity away from the binding site. Collectively, our findings agree with models emerging from nuclear magnetic resonance studies suggesting that residual side-chain entropy can modulate affinity and point to the need to integrate both static conformational changes and conformational heterogeneity in models of ligand binding

qFit 3: Protein and ligand multiconformer modeling for X‐ray crystallographic and single‐particle cryo‐EM density maps

New X-ray crystallography and cryo-electron microscopy (cryo-EM) approaches yield vast amounts of structural data from dynamic proteins and their complexes. Modeling the full conformational ensemble can provide important biological insights, but identifying and modeling an internally consistent set of alternate conformations remains a formidable challenge. qFit efficiently automates this process by generating a parsimonious multiconformer model. We refactored qFit from a distributed application into software that runs efficiently on a small server, desktop, or laptop. We describe the new qFit 3 software and provide some examples. qFit 3 is open-source under the MIT license, and is available at https://github.com/ExcitedStates/qfit-3.0

Racial disparity in quality of care and overall survival among black vs. white patients with muscle-invasive bladder cancer treated with radical cystectomy: A national cancer database analysis.

OBJECTIVES: To examine the impact of race on quality of care and overall survival (OS) among patients with muscle invasive bladder cancer (MIBC) treated with radical cystectomy (RC) in the U.S. MATERIALS & METHODS: Our cohort consisted of 12,652 patients receiving RC for MIBC within the National Cancer Database from 2004 to 2012. Patients were stratified by race (Black non-Hispanic vs. White non-Hispanic) and imbalances in patient characteristics mitigated using propensity score weighting. Logistic and Cox regressions examined the impact of race on quality of care metrics (receipt of pelvic lymph node dissection (PLND), lymph node count, hospital volume, length of stay, delay of treatment) and on OS. The difference in OS was expressed as Delta, and stratified by facility-type, hospital volume, and region. RESULTS: Blacks were less likely to receive PLND (odds ratio [OR] 0.70, 95% confidence interval [CI]: 0.55-0.91), or to have a greater number of lymph nodes removed (OR 0.76, 95%CI: 0.64-0.90). They exhibited greater length of stay (OR 1.34, 95%CI: 1.13-1.59), and delay of RC among recipients of neoadjuvant chemotherapy (OR 2.59, 95%CI: 1.77-3.85) (all P ≤ 0.001). Notably, utilization of neoadjuvant chemotherapy in advanced disease stages was more common in blacks (OR 2.82, 95%CI: 1.93-4.13, P \u3c 0.001). Additionally, Black race was associated with inferior OS (Hazard ratio 0.87, 95%CI: 0.79-0.97, P \u3c 0.014). Disparities in OS varied based on facility type and geographical region, but not hospital volume. Specifically, Blacks had worse OS when treated in a community cancer program (Delta 0.42, 95%CI: 0.28-0.57,P \u3c 0.001), or within New England/Middle Atlantic region (Delta 0.16, 95% CI: 0.07-0.24,P \u3c 0.001). CONCLUSION: Black race is an independent predictor of inferior quality of care and OS in patients undergoing RC for MIBC. Survival disparities vary based on geographical region and facility type. Notably, the OS disparity appears to have narrowed in comparison to previous studies

Neoadjuvant chemotherapy prior to radical cystectomy for muscle-invasive bladder cancer with variant histology.

BACKGROUND: Neoadjuvant chemotherapy in pure urothelial bladder cancer provides a significant survival benefit. However, to the authors\u27 knowledge, it is unknown whether this benefit persists in histological variants. The objective of the current study was to assess the effect of neoadjuvant chemotherapy on the probability of non-organ-confined disease and overall survival after radical cystectomy (RC) in patients with histological variants. METHODS: Querying the National Cancer Data Base, the authors identified 2018 patients with histological variants who were undergoing RC for bladder cancer between 2003 and 2012. Variants were categorized as micropapillary or sarcomatoid differentiation, squamous cell carcinoma, adenocarcinoma, neuroendocrine tumors, and other histology. Logistic regression models estimated the odds of non-organ-confined disease at the time of RC for each histological variant, stratified by the receipt of neoadjuvant chemotherapy. Cox regression models were used to examine the effect of neoadjuvant chemotherapy on overall mortality in each variant subgroup. RESULTS: Patients with neuroendocrine tumors (odds ratio [OR], 0.16; 95% confidence interval [95% CI], 0.08-0.32 [P\u3c.001]), micropapillary differentiation (OR, 0.30; 95% CI, 0.10-0.95 [P=.041]), sarcomatoid urothelial carcinoma (OR, 0.40; 95% CI, 0.17-0.94 [P=.035]), and adenocarcinoma (OR, 0.24; 95% CI, 0.06-0.91 [P=.035]) were less likely to harbor non-organ-confined disease at the time of RC when treated with neoadjuvant chemotherapy. An overall survival benefit for neoadjuvant chemotherapy was only found in patients with neuroendocrine tumors (hazard ratio, 0.49; 95% CI, 0.33-0.74 [P=.001]). CONCLUSIONS: Patients with neuroendocrine tumors benefit from neoadjuvant chemotherapy, as evidenced by better overall survival and lower rates of non-organ-confined disease at the time of RC. For tumors with micropapillary differentiation, sarcomatoid differentiation, or adenocarcinoma, neoadjuvant chemotherapy decreased the frequency of non-organ-confined disease at the time of RC. However, this favorable effect did not translate into a statistically significant overall survival benefit for these patients, potentially due to the aggressive tumor biology. Cancer 2017;123:4346-55. © 2017 American Cancer Society

Structural Alterations Driving Castration-Resistant Prostate Cancer Revealed by Linked-Read Genome Sequencing

© 2018 Elsevier Inc. Nearly all prostate cancer deaths are from metastatic castration-resistant prostate cancer (mCRPC), but there have been few whole-genome sequencing (WGS) studies of this disease state. We performed linked-read WGS on 23 mCRPC biopsy specimens and analyzed cell-free DNA sequencing data from 86 patients with mCRPC. In addition to frequent rearrangements affecting known prostate cancer genes, we observed complex rearrangements of the AR locus in most cases. Unexpectedly, these rearrangements include highly recurrent tandem duplications involving an upstream enhancer of AR in 70%–87% of cases compared with <2% of primary prostate cancers. A subset of cases displayed AR or MYC enhancer duplication in the context of a genome-wide tandem duplicator phenotype associated with CDK12 inactivation. Our findings highlight the complex genomic structure of mCRPC, nominate alterations that may inform prostate cancer treatment, and suggest that additional recurrent events in the non-coding mCRPC genome remain to be discovered. Linked-read genome sequencing data from patients highlight that amplification of an enhancer upstream of the androgen receptor locus is a key feature of metastatic castration-resistant prostate cancer