Development and evaluation of a text analytics algorithm for automated application of national COVID-19 shielding criteria in rheumatology patients.

INTRODUCTION: At the beginning of the COVID-19 pandemic, the UK's Scientific Committee issued extreme social distancing measures, termed 'shielding', aimed at a subpopulation deemed extremely clinically vulnerable to infection. National guidance for risk stratification was based on patients' age, comorbidities and immunosuppressive therapies, including biologics that are not captured in primary care records. This process required considerable clinician time to manually review outpatient letters. Our aim was to develop and evaluate an automated shielding algorithm by text-mining outpatient letter diagnoses and medications, reducing the need for future manual review. METHODS: Rheumatology outpatient letters from a large UK foundation trust were retrieved. Free-text diagnoses were processed using Intelligent Medical Objects software (Concept Tagger), which used interface terminology for each condition mapped to Systematized Medical Nomenclature for Medicine-Clinical Terminology (SNOMED-CT) codes. We developed the Medication Concept Recognition tool (Named Entity Recognition) to retrieve medications' type, dose, duration and status (active/past) at the time of the letter. Age, diagnosis and medication variables were then combined to calculate a shielding score based on the most recent letter. The algorithm's performance was evaluated using clinical review as the gold standard. The time taken to deploy the developed algorithm on a larger patient subset was measured. RESULTS: In total, 5942 free-text diagnoses were extracted and mapped to SNOMED-CT, with 13 665 free-text medications (n=803 patients). The automated algorithm demonstrated a sensitivity of 80% (95% CI: 75%, 85%) and specificity of 92% (95% CI: 90%, 94%). Positive likelihood ratio was 10 (95% CI: 8, 14), negative likelihood ratio was 0.21 (95% CI: 0.16, 0.28) and F1 score was 0.81. Evaluation of mismatches revealed that the algorithm performed correctly against the gold standard in most cases. The developed algorithm was then deployed on records from an additional 15 865 patients, which took 18 hours for data extraction and 1 hour to deploy. DISCUSSION: An automated algorithm for risk stratification has several advantages including reducing clinician time for manual review to allow more time for direct care, improving efficiency and increasing transparency in individual patient communication. It has the potential to be adapted for future public health initiatives that require prompt automated review of hospital outpatient letters.

Recurrent Stent Thrombosis Following Myocardial Infarction Associated With VITT-Like Antibodies.

Early stent thrombosis is a rare complication of percutaneous intervention and is associated with significant 30-day mortality. We present a novel case of multiple recurrent early stent thrombosis consistent with spontaneous vaccine-induced thrombotic thrombocytopenia. We were successfully able to manage this unusual condition through an interdisciplinary collaboration.

Convergent evolution of BRCA2 reversion mutations under therapeutic pressure by PARP inhibition and platinum chemotherapy.

Reversion mutations that restore wild-type function of the BRCA gene have been described as a key mechanism of resistance to Poly(ADP-ribose) polymerase (PARP) inhibitor therapy in BRCA-associated cancers. Here, we report a case of a patient with metastatic castration-resistant prostate cancer (mCRPC) with a germline BRCA2 mutation who developed acquired resistance to PARP inhibition. Extensive genomic interrogation of cell-free DNA (cfDNA) and tissue at baseline, post-progression, and postmortem revealed ten unique BRCA2 reversion mutations across ten sites. While several of the reversion mutations were private to a specific site, nine out of ten tumors contained at least one mutation, suggesting a powerful clonal selection for reversion mutations in the presence of therapeutic pressure by PARP inhibition. Variable cfDNA shed was seen across tumor sites, emphasizing a potential shortcoming of cfDNA monitoring for PARPi resistance. This report provides a genomic portrait of the temporal and spatial heterogeneity of prostate cancer under the selective pressure of a PARP inhibition and exposes limitations in the current strategies for detection of reversion mutations.

The role of private healthcare sector actors in health service delivery and financing policy processes in low-and middle-income countries: a scoping review.

The expansion of the private healthcare sector in some low-income and middle-income countries (LMICs) has raised key questions and debates regarding the governance of this sector, and the role of actors representing the sector in policy processes. Research on the role played by this sector, understood here as private hospitals, pharmacies and insurance companies, remains underdeveloped in the literature. In this paper, we present the results of a scoping review focused on synthesising scholarship on the role of private healthcare sector actors in health policy processes pertaining to health service delivery and financing in LMICs. We explore the role of organisations or groups-for example, individual companies, corporations or interest groups-representing healthcare sector actors, and use a conceptual framework of institutions, ideas, interests and networks to guide our analysis. The screening process resulted in 15 papers identified for data extraction. We found that the literature in this domain is highly interdisciplinary but nascent, with largely descriptive work and undertheorisation of policy process dynamics. Many studies described institutional mechanisms enabling private sector participation in decision-making in generic terms. Some studies reported competing institutional frameworks for particular policy areas (eg, commerce compared with health in the context of medical tourism). Private healthcare actors showed considerable heterogeneity in their organisation. Papers also referred to a range of strategies used by these actors. Finally, policy outcomes described in the cases were highly context specific and dependent on the interaction between institutions, interests, ideas and networks. Overall, our analysis suggests that the role of private healthcare actors in health policy processes in LMICs, particularly emerging industries such as hospitals, holds key insights that will be crucial to understanding and managing their role in expanding health service access.

How Public Health Organizational Structure Affected the Response to the COVID-19 Pandemic: A Case Study in British Columbia, Canada.

Objectives: This study sought to examine how public health organizational structures affected decision-making and provides recommendations to strengthen future public health crisis preparedness. Methods: The Institutions-Politics-Organizations-Governance (IPOG) framework and an organizational lens was applied to the analysis of COVID-19 governance within British Columbia (BC). Organizational charts detailing the structure of public health systems were compiled using available data and supplemented with data collected through key informant interviews. Results: In response to the COVID-19 pandemic, BC initiated several changes in its public health organization. BC's COVID-19 response attempted to utilize a centralized command structure within a decentralized health system. Four key themes were identified pertaining to the 1) locus of decision-making and action; 2) role of emergency structures; 3) challenges in organizational structure; and 4) balance between authority and participation in decision-making. Conclusion: The organizational adaptations enabled a substantively effective response. However, our findings also illustrate deficiencies in organizational structure in the current public health system. Two recommendations for consideration are: 1) a more formal vertical organizational structure; and 2) developing new mechanisms to link health and general emergency response structures.

Immune Modulation with RANKL Blockade through Denosumab Treatment in Patients with Cancer.

Denosumab is a fully human mAb that binds receptor activator of NFκB ligand (RANKL). It is routinely administered to patients with cancer to reduce the incidence of new bone metastasis. RANK-RANKL interactions regulate bone turnover by controlling osteoclast recruitment, development, and activity. However, these interactions also can regulate immune cells including dendritic cells and medullary thymic epithelial cells. Inhibition of the latter results in reduced thymic negative selection of T cells and could enhance the generation of tumor-specific T cells. We examined whether administering denosumab could modify modulate circulating immune cells in patients with cancer. Blood was collected from 23 patients with prostate cancer and 3 patients with renal cell carcinoma, all of whom had advanced disease and were receiving denosumab, prior to and during denosumab treatment. Using high-dimensional mass cytometry, we found that denosumab treatment by itself induced modest effects on circulating immune cell frequency and activation. We also found minimal changes in the circulating T-cell repertoire and the frequency of new thymic emigrants with denosumab treatment. However, when we stratified patients by whether they were receiving chemotherapy and/or steroids, patients receiving these concomitant treatments showed significantly greater immune modulation, including an increase in the frequency of natural killer cells early and classical monocytes later. We also saw broad induction of CTLA-4 and TIM3 expression in circulating lymphocytes and some monocyte populations. These findings suggest that denosumab treatment by itself has modest immunomodulatory effects, but when combined with conventional cancer treatments, can lead to the induction of immunologic checkpoints. See related Spotlight by Nasrollahi and Davar, p. 383.

Initial Chemotherapy for Locally Advanced and Metastatic NUT Carcinoma.

INTRODUCTION: NUT carcinoma (NC) is an underdiagnosed and aggressive poorly differentiated or squamous cell cancer. A subset of NC is sensitive to chemotherapy, but the optimal regimen is unknown. Experts have recommended platinum- and ifosfamide-based therapy based on case reports. METHODS: Patients with pathologically confirmed NC with known survival outcomes after chemotherapy and consented to participate in a worldwide registry were studied. Results were summarized using descriptive methods. RESULTS: The study included 118 patients with NC. Median age was 34 (range: 1-82) years, 39% were women, and 61% harbored a BRD4::NUTM1 fusion. Patients received platinum (74%) or ifosfamide (26%, including regimens with both, 13%). Of 62 patients with nonmetastatic disease, 40% had a thoracic primary. Compared with platinum-based chemotherapy, patients who received ifosfamide-based chemotherapy had nominally higher progression-free survival (12 mo: 59% [95% CI: 32-87] versus 37% [95% CI: 22-52], hazard ratio = 0.68 [0.32, 1.42], p = 0.3) but not overall survival (OS). Among the 56 patients with metastatic disease, 80% had a thoracic primary. Ifosfamide had an objective response rate (ORR) of 75% (six of eight) and platinum had an ORR of 31% (11 of 36). Nevertheless, there was no difference in progression-free survival or OS. The 3-year OS of the entire cohort was 19% (95% CI: 10%-28%). Of the 11 patients alive greater than 3 years, all presented with nonmetastatic and operable or resectable disease. CONCLUSION: There is a numerically higher ORR for ifosfamide-based therapy compared with platinum-based therapy, with limited durability. OS at 3 years is only 19%, and development of effective therapies is an urgent unmet need for this patient population.

Pan-cancer landscape of epigenetic factor expression predicts tumor outcome.

Oncogenic pathways that drive cancer progression reflect both genetic changes and epigenetic regulation. Here we stratified primary tumors from each of 24 TCGA adult cancer types based on the gene expression patterns of epigenetic factors (epifactors). The tumors for five cancer types (ACC, KIRC, LGG, LIHC, and LUAD) separated into two robust clusters that were better than grade or epithelial-to-mesenchymal transition in predicting clinical outcomes. The majority of epifactors that drove the clustering were also individually prognostic. A pan-cancer machine learning model deploying epifactor expression data for these five cancer types successfully separated the patients into poor and better outcome groups. Single-cell analysis of adult and pediatric tumors revealed that expression patterns associated with poor or worse outcomes were present in individual cells within tumors. Our study provides an epigenetic map of cancer types and lays a foundation for discovering pan-cancer targetable epifactors.

Gene Regulatory Networks in Coronary Artery Disease.

PURPOSE OF REVIEW: Coronary artery disease is a complex disorder and the leading cause of mortality worldwide. As technologies for the generation of high-throughput multiomics data have advanced, gene regulatory network modeling has become an increasingly powerful tool in understanding coronary artery disease. This review summarizes recent and novel gene regulatory network tools for bulk tissue and single cell data, existing databases for network construction, and applications of gene regulatory networks in coronary artery disease. RECENT FINDINGS: New gene regulatory network tools can integrate multiomics data to elucidate complex disease mechanisms at unprecedented cellular and spatial resolutions. At the same time, updates to coronary artery disease expression data in existing databases have enabled researchers to build gene regulatory networks to study novel disease mechanisms. Gene regulatory networks have proven extremely useful in understanding CAD heritability beyond what is explained by GWAS loci and in identifying mechanisms and key driver genes underlying disease onset and progression. Gene regulatory networks can holistically and comprehensively address the complex nature of coronary artery disease. In this review, we discuss key algorithmic approaches to construct gene regulatory networks and highlight state-of-the-art methods that model specific modes of gene regulation. We also explore recent applications of these tools in coronary artery disease patient data repositories to understand disease heritability and shared and distinct disease mechanisms and key driver genes across tissues, between sexes, and between species.

Domiciliary transcutaneous electrical stimulation in patients with obstructive sleep apnoea and limited adherence to continuous positive airway pressure therapy: a single-centre, open-label, randomised, controlled phase III trial.

Background: Hypoglossal nerve stimulation (HNS) for obstructive sleep apnoea (OSA) is a novel way to manage the condition. We hypothesised that in patients with OSA and limited adherence to continuous positive airway pressure (CPAP) therapy, domiciliary transcutaneous electrical stimulation (TESLA) would control sleep apnoea and provide health benefits. Methods: We undertook a single-centre, open-label, randomised, controlled phase III trial in patients with OSA (apnoea-hypopnoea-index [AHI] 5-35 h-1), a BMI of 18.5-32 kg∗m-2, and a documented lack of adherence to CPAP therapy (<4 h∗night-1) at Guy's & St Thomas' NHS Foundation Trust (hospital), UK. Patients were randomly assigned (1:1) using minimisation (gender and OSA severity) to receive TESLA or usual care (CPAP) for at least 3 months; sleep study analysis was provided without knowledge of the assignment arm. The primary outcome was change in AHI at 3-months. The primary outcome and safety were analysed in the intention-to-treat population. Data are reported as median (interquartile range), unless otherwise explained. This trial is registered at ClinicalTrials.gov, NCT03160456. Findings: Between 6 June 2018 and 7 February 2023, 56 participants were enrolled and randomly assigned (29 patients in the intervention group and 27 in the usual care group). Patients were followed up for a median of 3.0 months (IQR 3.0; 10.0). The groups were similar in terms of age (55.8 (48.2; 66.0) vs 59.3 (47.8; 64.4) years), gender (male:female, 19:10 vs 18:9) and BMI (28.7 (26.4; 31.9) vs 28.4 (24.4; 31.9) kg∗m-2). The unadjusted group difference in the ΔAHI was -11.5 (95% CI -20.7; -2.3) h-1 (p = 0.016). Adjusted for the baseline value, the difference was ΔAHI -7.0 (-15.7; 1.8) h-1 (p = 0.12), in favour of the intervention. Minor adverse events were found in one of the participants who developed mild headaches related to the intervention. Interpretation: Domiciliary TESLA can be used safely and effectively in OSA patients with poor adherence to CPAP, with favourable impact on sleepiness and sleep fragmentation. Despite pandemic-related limitations of the amended protocol this trial provides the evidence that TESLA improves clinically meaningful outcomes over the observed follow up period, and the transcutaneous approach is likely to offer an affordable alternative for responders to electrical stimulation in clinical practice. Funding: British Lung Foundation, United Kingdom Clinical Research Collaboration-registered King's Clinical Trials Unit at King's Health Partners.

Single-Agent Divarasib (GDC-6036) in Solid Tumors with a KRAS G12C Mutation.

BACKGROUND: Divarasib (GDC-6036) is a covalent KRAS G12C inhibitor that was designed to have high potency and selectivity. METHODS: In a phase 1 study, we evaluated divarasib administered orally once daily (at doses ranging from 50 to 400 mg) in patients who had advanced or metastatic solid tumors that harbor a KRAS G12C mutation. The primary objective was an assessment of safety; pharmacokinetics, investigator-evaluated antitumor activity, and biomarkers of response and resistance were also assessed. RESULTS: A total of 137 patients (60 with non-small-cell lung cancer [NSCLC], 55 with colorectal cancer, and 22 with other solid tumors) received divarasib. No dose-limiting toxic effects or treatment-related deaths were reported. Treatment-related adverse events occurred in 127 patients (93%); grade 3 events occurred in 15 patients (11%) and a grade 4 event in 1 patient (1%). Treatment-related adverse events resulted in a dose reduction in 19 patients (14%) and discontinuation of treatment in 4 patients (3%). Among patients with NSCLC, a confirmed response was observed in 53.4% of patients (95% confidence interval [CI], 39.9 to 66.7), and the median progression-free survival was 13.1 months (95% CI, 8.8 to could not be estimated). Among patients with colorectal cancer, a confirmed response was observed in 29.1% of patients (95% CI, 17.6 to 42.9), and the median progression-free survival was 5.6 months (95% CI, 4.1 to 8.2). Responses were also observed in patients with other solid tumors. Serial assessment of circulating tumor DNA showed declines in KRAS G12C variant allele frequency associated with response and identified genomic alterations that may confer resistance to divarasib. CONCLUSIONS: Treatment with divarasib resulted in durable clinical responses across KRAS G12C-positive tumors, with mostly low-grade adverse events. (Funded by Genentech; ClinicalTrials.gov number, NCT04449874.).

Screening and treatment of pre-bariatric surgical patients with obesity related sleep disordered breathing.

Background: There is a significant burden of sleep disordered breathing (SDB) in patients living with severe and complex obesity undergoing pre-bariatric surgery assessment. This longitudinal observational study evaluated the burden of obesity hypoventilation syndrome (OHS) in this cohort of patients and the therapeutic compliance of patients commenced on positive airway pressure treatment. Methods: All pre-bariatric surgery patients referred to the sleep clinic for review after an abnormal screening study between 2018 and 2022 were included. We collected data on their sleep study results, anthropometrics, co-morbid medical conditions, clinical observations, spirometry and arterial blood gas (ABG). Patients commenced on therapy were followed-up longitudinally and compliance data collected via remote monitoring. Results: A total of 116 patients were included [age: mean ± standard deviation (SD) 48.8±10.8 years; body mass index (BMI) 49.2±8.5 kg/m2; Epworth Sleepiness Scale (ESS) 8.7±5.1 points]. Fifteen patients (12.9% of cohort) were diagnosed with hypercapnic respiratory failure (pH 7.40±0.02; pO2 11.00±1.04 kPa; pCO2 6.15±0.08 kPa). Compared to eucapnic obstructive sleep apnoea (OSA) patients, they were older (51.1 vs. 48.5 years; P=0.311), had a higher BMI (51.5 vs. 48.9 kg/m2; P=0.266), more likely to be female (66.7% vs. 53.5%; P=0.275) and had a higher ESS score (10.4 vs. 8.5 points; P=0.177). On binomial regression analysis insulin dependent diabetes was the only patient characteristic of significance with prevalence increased in patients with OHS (26.7% vs. 8.9%; P=0.042). Forced vital capacity (FVC) and oxygen saturation (SpO2) cut-offs demonstrated high specificity (96.8%) but low sensitivity (13.3%) to diagnosed hypercapnia. Fifty percent of the patients with hypercapnia required bi-level ventilation. On follow-up 44.9% of patients were compliant with therapy (>4 hours usage/night). Conclusions: In minimally symptomatic patients living with severe and complex obesity who have an abnormal overnight oximetry, over 1 in 10 demonstrated chronic respiratory failure. Clinic spirometry and daytime SpO2 excluded those with hypercapnia. Overall adherence to prescribed therapy is low. Screening, appropriate pre-operative optimisation and peri-operative planning are important in preventing complications in this patient cohort.

SCING: Inference of robust, interpretable gene regulatory networks from single cell and spatial transcriptomics.

Gene regulatory network (GRN) inference is an integral part of understanding physiology and disease. Single cell/nuclei RNA-seq (scRNA-seq/snRNA-seq) data has been used to elucidate cell-type GRNs; however, the accuracy and speed of current scRNAseq-based GRN approaches are suboptimal. Here, we present Single Cell INtegrative Gene regulatory network inference (SCING), a gradient boosting and mutual information-based approach for identifying robust GRNs from scRNA-seq, snRNA-seq, and spatial transcriptomics data. Performance evaluation using Perturb-seq datasets, held-out data, and the mouse cell atlas combined with the DisGeNET database demonstrates the improved accuracy and biological interpretability of SCING compared to existing methods. We applied SCING to the entire mouse single cell atlas, human Alzheimer's disease (AD), and mouse AD spatial transcriptomics. SCING GRNs reveal unique disease subnetwork modeling capabilities, have intrinsic capacity to correct for batch effects, retrieve disease relevant genes and pathways, and are informative on spatial specificity of disease pathogenesis.

Otolaryngology Considerations of Pituitary Surgery: What an Endocrinologist Should Know.

Endoscopic endonasal skull base surgery is the preferred surgical approach for the management of pituitary adenomas. Perioperative management of pituitary lesions requires multidisciplinary care and typically includes a dual surgeon team consisting of a neurosurgeon and an otolaryngologist. The involvement of the otolaryngologist allows for a safe surgical approach with excellent intraoperative visualization of the tumor to enable an effective resection of the tumor by the neurosurgeon. Detection and treatment of sinonasal pathology is essential prior to surgery. Patients may experience sinonasal complaints following endoscopic transsphenoidal surgery, although this is typically temporary. Sinonasal care in the postoperative period can expedite recovery to baseline. Here we discuss the perioperative factors of endoscopic pituitary surgery that endocrinologists should be aware of, ranging from preoperative patient selection and optimization to postoperative care, with a particular emphasis on anatomic and surgical factors.

The Association of Multiple Sensory Impairment and Telomere Length: The Health ABC Study.

OBJECTIVES: The objective of this study was to characterize the associations of sensory impairments, including olfaction (OI), vision (VI), hearing (HI), and touch (TI), with telomere length (TL) in a group of community-dwelling older adults who participated in the Health ABC study. METHODS: Across 1603 participants, OI was classified with the Brief Smell Identification Test (<11), HI with pure-tone averages (<25 dB), VI with visual acuity (20/50 or worse), and TI with monofilament testing (inability to detect three of four touches). Shorter TL was defined as the lowest quartile of sample TLs. Adjusted multivariable regressions were used to examine the cross-sectional association between the modality, severity, and number of sensory impairments with TL. RESULTS: Participants had an average age of 77.4 ± 2.84 years, and 89.7% (n = 1438) had at least one or more sensory impairments. Severe OI (odds ratio [OR] = 1.73, 95% confidence interval [CI] = [1.19, 2.6]) was independently associated with increased odds of shorter TL. Additionally, having one (OR = 2.79, 95% CI = [1.69, 4.70]), two (OR = 2.5, 95% CI = [1.51, 4.26]), three (OR = 3.04, 95% CI = [1.79, 5.36]), or four impairments (OR = 3.72, 95% CI = [1.52, 7.33]) was associated with increased odds of shorter TL in a dose-dependent manner. CONCLUSION: Severe OI and TI appear to be particularly robust markers of shortened TL. Additionally, multiple sensory impairment is strongly associated with shortened TL, suggesting that sensory dysfunction may represent a unique biomarker of unhealthy aging. LEVEL OF EVIDENCE: Level II Laryngoscope, 133:3132-3138, 2023.

Olfactory Dysfunction and Balance Dysfunction are Associated with Increased Falls in Older Adults.

OBJECTIVE: This study aims to characterize the association between impairments in olfaction and balance, both of which are mediated in part by the cerebellum, and how this relates to prospective incidence of falls in a cohort of aging adults. METHODS: The Health ABC study was queried to identify 296 participants with data on both olfaction (measured using the 12-item Brief Smell Identification Test) and balance-related function (measured using the Romberg test). The relationship between olfaction and balance was investigated using multivariable logistic regression. Predictors of performance on a standing balance assessment and predictors of falls were studied. RESULTS: Of 296 participants, 52.7% had isolated olfactory dysfunction, 7.4% had isolated balance dysfunction, and 5.7% had dual dysfunction. Severe olfactory dysfunction was associated with increased odds of balance dysfunction when compared to those without olfactory dysfunction, even when adjusting for age, gender, race, education, BMI, smoking, diabetes, depression, and dementia (OR = 4.1, 95% CI [1.5, 13.7], p = 0.011). Dual sensory dysfunction was associated with worse performance on a standing balance assessment (ß = -22.8, 95% CI [-35.6, -10.1], p = 0.0005) and increased falls (ß = 1.5, 95% CI [1.0, 2.3], p = 0.037). CONCLUSION: This study highlights a unique relationship between olfaction and balance, and how dual dysfunction is associated with increased falls. With substantial implications of falls on morbidity and mortality in older adults, this novel relationship between olfaction and balance emphasizes a potentially shared mechanism between olfactory dysfunction and increased fall risk in older adults; however, further study is required to explore the novel relationship of olfaction with balance and future falls. LEVEL OF EVIDENCE: 3 Laryngoscope, 133:1964-1969, 2023.

Factors Associated with Attrition in a Longitudinal Cohort of Older Adults in the Community.

Introduction: Retaining participants in longitudinal studies increases their power. We undertook this study in a population-based longitudinal cohort of adults with COPD to determine the factors associated with increased cohort attrition. Methods: In the longitudinal population-based Canadian Cohort of Obstructive Lung Disease (CanCOLD) study, 1561 adults > 40 years old were randomly recruited from 9 urban sites. Participants completed in-person visits at 18-month intervals and also were followed up every 3 months over the phone or by email. The cohort retention for the study and the reasons for attrition were analyzed. Hazard ratios and robust standard errors were calculated using Cox regression methods to explore the associations between participants who remained in the study and those who did not. Results: The median follow-up (years) of the study is 9.0 years. The overall mean retention was 77%. Reasons for attrition (23%) were: dropout by participant (39%), loss of contact (27%), investigator-initiated withdrawal (15%), deaths (9%), serious disease (9%), and relocation (2%). Factors independently associated with attrition were lower educational attainment, higher pack-year tobacco consumption, diagnosed cardiovascular disease, and a higher Hospital Anxiety and Depression Scale score: adjusted hazard ratios (95% confidence interval) were 1.43(1.11, 1.85); 1.01(1.00, 1.01); 1.44(1.13, 1.83); 1.06(1.02, 1.10) respectively. Conclusions: Identification and awareness of risk factors for attrition could direct targeted retention strategies in longitudinal studies. Moreover, the identification of patient characteristics associated with study dropout could address any potential bias introduced by differential dropouts.

Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non-Small Cell Lung Cancer.

PURPOSE: ATM is the most commonly mutated DNA damage and repair gene in non-small cell lung cancer (NSCLC); however, limited characterization has been pursued. EXPERIMENTAL DESIGN: Clinicopathologic, genomic, and treatment data were collected for 5,172 patients with NSCLC tumors which underwent genomic profiling. ATM IHC was performed on 182 NSCLCs with ATM mutations. Multiplexed immunofluorescence was performed on a subset of 535 samples to examine tumor-infiltrating immune cell subsets. RESULTS: A total of 562 deleterious ATM mutations were identified in 9.7% of NSCLC samples. ATM-mutant (ATMMUT) NSCLC was significantly associated with female sex (P = 0.02), ever smoking status (P < 0.001), non-squamous histology (P = 0.004), and higher tumor mutational burden (DFCI, P < 0.0001; MSK, P < 0.0001) compared with ATM-wild-type (ATMWT) cases. Among 3,687 NSCLCs with comprehensive genomic profiling, co-occurring KRAS, STK11, and ARID2 oncogenic mutations were significantly enriched among ATMMUT NSCLCs (Q < 0.05), while TP53 and EGFR mutations were enriched in ATMWT NSCLCs. Among 182 ATMMUT samples with ATM IHC, tumors with nonsense, insertions/deletions, or splice site mutations were significantly more likely to display ATM loss by IHC (71.4% vs. 28.6%; P < 0.0001) compared with tumors with only predicted pathogenic missense mutations. Clinical outcomes to PD-(L)1 monotherapy (N = 1,522) and chemo-immunotherapy (N = 951) were similar between ATMMUT and ATMWT NSCLCs. Patients with concurrent ATM/TP53 mutations had significantly improved response rate and progression-free survival with PD-(L)1 monotherapy. CONCLUSIONS: Deleterious ATM mutations defined a subset of NSCLC with unique clinicopathologic, genomic, and immunophenotypic features. Our data may serve as resource to guide interpretation of specific ATM mutations in NSCLC.