Baseline immunoglobulin G and immune function in non-Hodgkin lymphoma: a retrospective analysis.

Introduction: Non-Hodgkin's lymphoma (NHL) encompasses a diverse group of lymphoma subtypes with a wide range in disease course. Previous studies show that hypogammaglobulinemia in treatment-naïve patients is associated with poorer survival in high grade B-cell non-Hodgkin's lymphomas, though it is not known how this applies across all B-cell lymphoid malignancies. Methods: We conducted a retrospective study of immunoglobulin levels and clinical outcomes including survival, hospitalization, and infection rates in patients diagnosed with B-cell non-Hodgkin lymphomas of all grades at our institution. Results: Two-hundred twenty-three adults (aged = 18 years) with available pre-treatment IgG levels were selected, with hypogammaglobulinemia defined as IgG< 500 mg/mL. For this analysis, we grouped DLBCL (n=90), Primary CNS (n=5), and Burkitt lymphoma (n=1) together as high-grade, while CLL (n=52), mantle cell (n=20), marginal zone (n=25), follicular (n=21), and Waldenstrom macroglobulinemia (n=5) were low-grade. The incidence of hypogammaglobulinemia in our cohort of both high and low-grade lymphoma patients was 13.5% (n=30). Across all NHL subtypes, individuals with baseline IgG< 500 mg/dL showed an increased rate of hospitalization (4.453, CI: 1.955-10.54, p= 0.0005) and higher mortality (3.325, CI: 1.258, 8.491, p= 0.013), yet no association in number of infections when compared with those with IgG=500 mg/dL. There was a higher hospitalization rate (3.237, CI: 1.77-6.051, p=0.0017) in those with high-grade lymphoma with hypogammaglobulinemia when compared with low-grade. There was no statistically significant difference in individuals who were alive after three years in those with baseline IgG<500 mg/dL. Discussion: Our study is the first to analyze incidence of hypogammaglobulinemia at the time of diagnosis of NHL as a potential biomarker of interest for future outcomes including hospitalization and infection.

The Prognostic Significance of Homologous Recombination Repair Pathway Alterations in Metastatic Hormone Sensitive Prostate Cancer.

INTRODUCTION: The homologous recombination repair (HRR) pathway is a frequently mutated pathway in advanced prostate cancer. The clinical course of patients with HRR gene alterations who have metastatic hormone sensitive prostate cancer (mHSPC) has not been fully characterized. Here, we examine the outcomes of men with mHSPC with HRR alterations. METHODS: We conducted a single-center retrospective analysis of men with mHSPC who underwent next generation sequencing. The primary objective was to assess the time from diagnosis of mHSPC to metastatic castrate resistance prostate cancer (mCRPC) in patients with pathogenic HRR alterations compared to individuals lacking these alterations. Key secondary objectives included time to mCRPC in prespecified cohorts, PSA response, and overall survival. RESULTS: 151 men with mHSPC were identified for the study. 24% (N = 37) had pathogenic HRR gene alterations detected with the most common alterations found in BRCA2 (n = 15), ATM (n = 10), and CDK12 (n = 7). Time to mCRPC was significantly decreased in patients with HRR gene alterations versus those without such alterations (12.7 vs. 16.1 months, HR 1.95, P = .02). In multivariate analysis, the effect of HRR gene alterations on time to CRPC remained significant when adjusting for age, mHSPC therapy, the volume of disease, the presence of visceral metastases, and PSA (adjusted HR 1.69, P = .02). Stratified by specific HRR gene alteration, patients with BRCA2 or CDK12 had significantly decreased time to mCRPC compared to other HRR alterations. CONCLUSION: HRR gene alterations are associated with the worse outcomes in mHSPC with significantly shorter time to mCRPC. Given the established role of Poly (ADP-ribose) Polymerase (PARP) inhibitors in mCRPC, these data highlight an opportunity to examine PARP inhibitors earlier in the clinical course for prostate cancer patients. Ongoing prospective studies will further validate the role of PARP inhibitors in mHSPC patients.

Geriatric risk factors for serious COVID-19 outcomes among older adults with cancer: a cohort study from the COVID-19 and Cancer Consortium.

BACKGROUND: Older age is associated with poorer outcomes of SARS-CoV-2 infection, although the heterogeneity of ageing results in some older adults being at greater risk than others. The objective of this study was to quantify the association of a novel geriatric risk index, comprising age, modified Charlson comorbidity index, and Eastern Cooperative Oncology Group performance status, with COVID-19 severity and 30-day mortality among older adults with cancer. METHODS: In this cohort study, we enrolled patients aged 60 years and older with a current or previous cancer diagnosis (excluding those with non-invasive cancers and premalignant or non-malignant conditions) and a current or previous laboratory-confirmed COVID-19 diagnosis who reported to the COVID-19 and Cancer Consortium (CCC19) multinational, multicentre, registry between March 17, 2020, and June 6, 2021. Patients were also excluded for unknown age, missing data resulting in unknown geriatric risk measure, inadequate data quality, or incomplete follow-up resulting in unknown COVID-19 severity. The exposure of interest was the CCC19 geriatric risk index. The primary outcome was COVID-19 severity and the secondary outcome was 30-day all-cause mortality; both were assessed in the full dataset. Adjusted odds ratios (ORs) and 95% CIs were estimated from ordinal and binary logistic regression models. FINDINGS: 5671 patients with cancer and COVID-19 were included in the analysis. Median follow-up time was 56 days (IQR 22-120), and median age was 72 years (IQR 66-79). The CCC19 geriatric risk index identified 2365 (41·7%) patients as standard risk, 2217 (39·1%) patients as intermediate risk, and 1089 (19·2%) as high risk. 36 (0·6%) patients were excluded due to non-calculable geriatric risk index. Compared with standard-risk patients, high-risk patients had significantly higher COVID-19 severity (adjusted OR 7·24; 95% CI 6·20-8·45). 920 (16·2%) of 5671 patients died within 30 days of a COVID-19 diagnosis, including 161 (6·8%) of 2365 standard-risk patients, 409 (18·5%) of 2217 intermediate-risk patients, and 350 (32·1%) of 1089 high-risk patients. High-risk patients had higher adjusted odds of 30-day mortality (adjusted OR 10·7; 95% CI 8·54-13·5) than standard-risk patients. INTERPRETATION: The CCC19 geriatric risk index was strongly associated with COVID-19 severity and 30-day mortality. Our CCC19 geriatric risk index, based on readily available clinical factors, might provide clinicians with an easy-to-use risk stratification method to identify older adults most at risk for severe COVID-19 as well as mortality. FUNDING: US National Institutes of Health National Cancer Institute Cancer Center.

PROMISE: a real-world clinical-genomic database to address knowledge gaps in prostate cancer.

PURPOSE: Prostate cancer is a heterogeneous disease with variable clinical outcomes. Despite numerous recent approvals of novel therapies, castration-resistant prostate cancer remains lethal. A "real-world" clinical-genomic database is urgently needed to enhance our characterization of advanced prostate cancer and further enable precision oncology. METHODS: The Prostate Cancer Precision Medicine Multi-Institutional Collaborative Effort (PROMISE) is a consortium whose aims are to establish a repository of de-identified clinical and genomic patient data that are linked to patient outcomes. The consortium structure includes a (1) bio-informatics committee to standardize genomic data and provide quality control, (2) biostatistics committee to independently perform statistical analyses, (3) executive committee to review and select proposals of relevant questions for the consortium to address, (4) diversity/inclusion committee to address important clinical questions pertaining to racial disparities, and (5) patient advocacy committee to understand patient perspectives to improve patients' quality of care. RESULTS: The PROMISE consortium was formed by 16 academic institutions in early 2020 and a secure RedCap database was created. The first patient record was entered into the database in April 2020 and over 1000 records have been entered as of early 2021. Data entry is proceeding as planned with the goal to have over 2500 patient records by the end of 2021. CONCLUSIONS: The PROMISE consortium provides a powerful clinical-genomic platform to interrogate and address data gaps that have arisen with increased genomic testing in the clinical management of prostate cancer. The dataset incorporates data from patient populations that are often underrepresented in clinical trials, generates new hypotheses to direct further research, and addresses important clinical questions that are otherwise difficult to investigate in prospective studies.

Analysis of CDK12 alterations in a pan-cancer database.

BACKGROUND: CDK12 inactivation leading to increased neoantigen burden has been hypothesized to sensitize tumors to immune checkpoint inhibition. Pan-cancer data regarding the frequency of CDK12 alterations are limited. We aimed to characterize CDK12 alterations across all cancer types through real-world clinical-grade sequencing. METHODS: This was a single-center retrospective analysis of 4994 cancer patients who underwent tissue or blood genomic profiling, including CDK12 assessment, conducted as part of routine care from December 2012 to January 2020. Prevalence, clinical characteristics, and treatment outcomes of patients with tumors with pathogenic CDK12 alterations were described. RESULTS: In all, 39 (0.78%, n = 39/4994) patients had pathogenic CDK12 alterations. Among CDK12-altered tumors, the most common organ site was prostate (n = 9, 23.1%) followed by colorectal (n = 5, 12.8%). Adenocarcinoma was the most common histology (n = 26, 66.7%). Median follow-up from time of diagnosis was 4.02 years. Median overall survival from time of metastasis was 4.43 years (95% CI: 3.11-5.74). Ten patients with CDK12-altered tumors received at least one immune checkpoint inhibitor-containing regimen. The majority of patients (n = 6/10, 60%) experienced an objective response. Progression-free survival for patients who had metastatic disease and received a checkpoint inhibitor-containing regimen was 1.16 years (95% CI: 0.32-2.00). CONCLUSION: CDK12 alterations are rare events across hematologic and solid tumor malignancies. They represent a clinically distinct molecular cancer subtype which may have increased responsiveness to checkpoint inhibition. Prospective studies are warranted to investigate checkpoint inhibition in CDK12-altered tumors.

Asymptomatic detection of SARS-CoV-2 among cancer patients receiving infusional anti-cancer therapy.

BACKGROUND: Little is known regarding the rate and clinical outcomes of asymptomatic carriers of SARS-CoV-2 among patients with cancer. Detection of asymptomatic carriers is important in this population given the use of myelosuppressive and immunomodulating therapies. Understanding the asymptomatic carrier rate will help to develop mitigation strategies in this high-risk cohort. METHODS: Retrospective cohort analysis of an asymptomatic screening protocol which required patients receiving infusional anti-cancer therapy to undergo a symptom/exposure screen and SARS-CoV-2 PCR testing 24-96 h prior to their infusion. The primary outcome of this analysis was the rate of asymptomatic SARS-CoV-2 infection. Secondary outcomes included the rate of COVID-19-related hospitalization and mortality and delays in oncologic therapy. RESULTS: Among a cohort of 2691 cancer patients who underwent asymptomatic screening, 1.6% (N = 43/2691) of patients were found to be SARS-CoV-2 positive on asymptomatic screening. 11.6% (N = 5/43) of the cohort ultimately developed COVID-19-related symptoms. Four patients required hospitalization for complications of COVID-19 infection. No patient died from COVID-related complications. 97.7% (N = 42/43) had their anti-cancer therapy delayed or deferred with a median delay of 21 days (range: 7-77 days). CONCLUSIONS: Overall, among a cohort of active cancer patients receiving anti-cancer therapy, an asymptomatic SARS-CoV2 PCR-based screening protocol detected a small cohort of asymptomatic carriers. The majority of these patients remained asymptomatic on long-term follow-up and outcomes were much more favorable compared to previously described outcomes of cancer patients with symptomatic COVID-19 infection.

Analysis of the Prognostic Significance of Circulating Tumor DNA in Metastatic Castrate Resistant Prostate Cancer.

BACKGROUND: There has been considerable interest in ctDNA next generation sequencing platforms to assess genomic alterations in mCRPC given its accessibility and identification of temporal genomic data. PATIENTSAND METHODS: In this retrospective analysis, we analyzed 63 patients who underwent ctDNA genomic profiling during their mCRPC disease course using a CLIA-certified commercial assay. The primary objective was to assess the feasibility of commercial ctDNA analysis in a real world mCRPC cohort. Key secondary objectives included assessment of the landscape of pathogenic ctDNA alterations and the prognostic significance of ctDNA detection on overall survival (OS). RESULTS: Among the cohort, at the time of ctDNA collection, median age was 70 years, and 47.6% (N = 30/63) had bone-only metastases. ctDNA was detected in the majority of patients with at least 1 pathogenic alteration detected in 90.5% (N = 57/63) of individuals. The most common alterations detected were in AR, TP53, and PIK3CA. Actionable alterations with FDA-approved therapies were found in 15.8% (N = 10) of the cohort. The presence of ≤ 1 versus > 1 alteration on ctDNA analysis was strongly associated with inferior OS with a median OS of 26.1 versus 8.8 months, respectively (HR = 7.0, 95% CI, 2.2-23.1, P < .001). In multivariate analysis, the number of detected alterations remained a significant predictor for OS. Lastly, there was weak correlation between Prostate-Specific Antigen (PSA), and ctDNA characteristics. CONCLUSION: ctDNA is a viable next generation sequencing (NGS) platform in mCRPC and can be utilized to identify actionable alterations. The presence and extent of ctDNA alterations appear to be prognostic of OS in mCRPC.

Prognostic Significance of Pancreatic Metastases in Patients With Advanced Renal Cell Carcinoma Treated With Systemic Therapy.

BACKGROUND: Pancreatic metastases (PM) are rare in renal cell carcinoma. It has been suggested that patients with metastases to the pancreas have a more favorable prognosis, but little is known about the long-term outcomes with systemic therapy. We sought to understand the outcomes of patients with metastatic renal cell carcinoma with PM treated with systemic therapy. PATIENTS AND METHODS: We conducted a pooled analysis of 4736 patients with metastatic renal cell carcinoma treated on phase II/III clinical trials. Systemic therapies included anti-vascular endothelial growth factor targeted therapy, mammalian target of rapamycin-targeted therapy, and cytokine therapy. RESULTS: The primary end point was overall survival (OS) in patients with versus without PM. Statistical analyses were performed using Kaplan-Meier analysis and Cox regression. Among 4736 patients, 235 (5.0%) were identified to have baseline PM at therapy initiation. The median OS in patients with PM was significantly prolonged with OS of 41.7 months versus 19.0 months (adjusted hazard ratio, 0.52; P < .0001). Similarly, progression-free survival was significantly prolonged in patients with PM (10.9 vs. 6.9 months; adjusted hazard ratio, 0.72; P = .004). The effect of PM on OS and progression-free survival was independent of other sites of metastasis or International mRCC Database Consortium risk group. CONCLUSION: The presence of PM in RCC is an independent positive predictor for survival and improved response to systemic therapy. These findings suggest RCC with PM is associated with favorable outcomes and further work to understand the underlying disease biology of these patients is warranted.

Construction and Analysis of Two Genome-Scale Deletion Libraries for Bacillus subtilis.

A systems-level understanding of Gram-positive bacteria is important from both an environmental and health perspective and is most easily obtained when high-quality, validated genomic resources are available. To this end, we constructed two ordered, barcoded, erythromycin-resistance- and kanamycin-resistance-marked single-gene deletion libraries of the Gram-positive model organism, Bacillus subtilis. The libraries comprise 3,968 and 3,970 genes, respectively, and overlap in all but four genes. Using these libraries, we update the set of essential genes known for this organism, provide a comprehensive compendium of B. subtilis auxotrophic genes, and identify genes required for utilizing specific carbon and nitrogen sources, as well as those required for growth at low temperature. We report the identification of enzymes catalyzing several missing steps in amino acid biosynthesis. Finally, we describe a suite of high-throughput phenotyping methodologies and apply them to provide a genome-wide analysis of competence and sporulation. Altogether, we provide versatile resources for studying gene function and pathway and network architecture in Gram-positive bacteria.

Electron tomography of cryo-immobilized plant tissue: a novel approach to studying 3D macromolecular architecture of mature plant cell walls in situ.

Cost-effective production of lignocellulosic biofuel requires efficient breakdown of cell walls present in plant biomass to retrieve the wall polysaccharides for fermentation. In-depth knowledge of plant cell wall composition is therefore essential for improving the fuel production process. The precise spatial three-dimensional (3D) organization of cellulose, hemicellulose, pectin and lignin within plant cell walls remains unclear to date since the microscopy techniques used so far have been limited to two-dimensional, topographic or low-resolution imaging, or required isolation or chemical extraction of the cell walls. In this paper we demonstrate that by cryo-immobilizing fresh tissue, then either cryo-sectioning or freeze-substituting and resin embedding, followed by cryo- or room temperature (RT) electron tomography, respectively, we can visualize previously unseen details of plant cell wall architecture in 3D, at macromolecular resolution (∼ 2 nm), and in near-native state. Qualitative and quantitative analyses showed that wall organization of cryo-immobilized samples were preserved remarkably better than conventionally prepared samples that suffer substantial extraction. Lignin-less primary cell walls were well preserved in both self-pressurized rapidly frozen (SPRF), cryo-sectioned samples as well as high-pressure frozen, freeze-substituted and resin embedded (HPF-FS-resin) samples. Lignin-rich secondary cell walls appeared featureless in HPF-FS-resin sections presumably due to poor stain penetration, but their macromolecular features could be visualized in unprecedented details in our cryo-sections. While cryo-tomography of vitreous tissue sections is currently proving to be instrumental in developing 3D models of lignin-rich secondary cell walls, here we confirm that the technically easier method of RT-tomography of HPF-FS-resin sections could be used immediately for routine study of low-lignin cell walls. As a proof of principle, we characterized the primary cell walls of a mutant (cob-6) and wild type Arabidopsis hypocotyl parenchyma cells by RT-tomography of HPF-FS-resin sections, and detected a small but significant difference in spatial organization of cellulose microfibrils in the mutant walls.