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Antibiotic exposure is associated with worse clinical outcomes in patients receiving immune checkpoint inhibitors (ICI). We analyzed antibiotic prescription patterns in lung cancer and melanoma, two malignancies in which ICI are used broadly across stages.We performed a retrospective cohort study of adults in the U.S. Veterans Affairs (VA) medical system diagnosed with lung cancer or melanoma from 2003 to 2016. We defined antibiotic exposure as receipt of a prescription for a systemic antibacterial agent between 6 months before and 6 months after cancer diagnosis. Demographics, clinical variables, prescriptions, and diagnostic codes were abstracted from the VA Corporate Data Warehouse. Antibiotic exposure was compared using t tests, Chi-square, and multivariate analyses.A total of 310,321 patients (280,068 lung cancer, 30,253 melanoma) were included in the analysis. Antibiotic exposure was more common among patients with lung cancer (42% vs. 24% for melanoma; P.001). Among antibiotic-exposed patients, those with lung cancer were more likely to receive prescriptions for multiple antibiotics (47% vs. 30% for melanoma; P.001). In multivariate analyses, antibiotic exposure was associated with lung cancer diagnosis (HR 1.50; 95% CI, 1.46-1.55), comorbidity score (HR 1.08; 95% CI, 1.08-1.09), non-white race (HR 1.11; 95% CI, 1.06-1.17), and female gender (HR 1.31; 95% CI, 1.24-1.37).Among cancer patients, antibiotics are prescribed frequently. Antibiotic exposure is more common in certain cancer types and patient populations. Given the negative effect antibiotic exposure has on immunotherapy outcomes, these observations may have clinical and healthy policy implications.

PURPOSE: Advances in genomic techniques have led to increased use of next-generation sequencing (NGS). We evaluated the extent to which these tests guide treatment decisions. METHODS: We developed and distributed a survey assessing NGS use and outcomes to a survey pool of ASCO members. Comparisons between groups were performed with Wilcoxon two-sample, chi-square, and Fisher's exact tests. RESULTS: Among 178 respondents, 62% were male, 54% White, and 67% affiliated with academic centers. More than half (56%) indicated that NGS provided actionable information to a moderate or great extent. Use was highest (median ≥ 70% of cases) for lung and gastric cancer, and lowest (median < 25% of cases) in head and neck and genitourinary cancers. Approximately one third of respondents reported that, despite identification of an actionable molecular variant, patients were sometimes or often unable to access the relevant US Food and Drug Administration–approved therapy. When NGS did not provide actionable results, individuals reporting great or moderate guidance overall from NGS in treatment recommendations were more likely to request the compassionate use of an unapproved drug ( P < .001), enroll on a clinical trial ( P < .01), or treat off-label with a drug approved for another indication ( P = .02). CONCLUSION: When NGS identifies an actionable result, a substantial proportion of clinicians reported encountering challenges obtaining approved therapies on the basis of these results. Perceived overall impact of NGS appears associated with clinical behavior unrelated to actionable NGS test results, including pursuing off-label or compassionate use of unapproved therapies or referring to a clinical trial.

Objectives Immune checkpoint inhibitors (ICIs) cause a variety of toxicities, including immune-related adverse events (irAEs), but there are no biomarkers to predict their development. Guidelines recommend measuring circulating cardiac troponin I (cTnI) during ICI therapy to detect related cardiotoxicities. Moreover, elevated cTnI has also been associated with worse outcomes in non-cardiac patients, including cancer. Thus here, we investigated whether cTnI levels were higher in patients with irAEs. Methods The study consisted of three groups; 21 cancer patients undergoing ICI immunotherapies who presented with irAEs, four patients without irAEs, and 20 healthy controls. Patient samples were assessed at baseline (n=25), during ICI treatment (n=25, median=6 weeks of treatment) and at toxicity (n=6, median=13 weeks of treatment). In addition to blood high sensitivity cardiac troponin I (hs-cTnI), anti-thyroglobulin (TG) and anti-thyroid peroxidase (TPO) antibodies were also quantitated to detect thyroid dysfunction, constituting the second leading toxicity (23.8%) after pneumonitis (28.6%). Results Four patients with irAEs (n=4/21; 19%) and one without irAEs (n=1/4; 25%) showed higher hs-cTnI levels at any time-point; the remaining had physiological levels. None of these patients developed cardiotoxicity. Concurrent elevated levels of anti-thyroid antibodies and hs-cTnI were detected in one patient with thyroid dysfunction (n=1/5, 20%). However, these antibodies were also elevated in three patients (n=3/16, 19%) with non-thyroid irAEs and in up to 40% of healthy controls. Conclusions hs-cTnI was not elevated in patients with irAEs, but larger studies are needed to confirm these observations.

In this issue, the study by Dagnino and colleagues represents an important addition to the maturing field of blood-based biomarkers for lung cancer screening. Their comprehensive approach to analyzing circulating inflammatory proteins identified CDCP1 as a potential biomarker for distinguishing patients with or without lung cancer, a finding that was confirmed in a validation cohort. CDCP1 blood levels, when combined with smoking history, gave an AUC receiver operator characteristic of 0.75. Analysis of transcripts in peripheral blood cells suggested a Wnt/β-catenin signaling–based mechanism for CDCP1 in tumorigenesis providing biologic plausibility. CDCP1 now joins the ranks of other potential blood-based lung cancer screening biomarkers (including epithelial tumor marker proteins, tumor-associated miRNA, antitumor antibodies, and tumor-specific DNA methylation) that need validation in future clinical trials. Further exploration of how CDCP1 levels might be integrated into current lung cancer screening programs, including both detection of lung cancer, and evaluation of the need for invasive biopsies, as well as how CDCP1 performs in different racial populations, is warranted. See related article by Dagnino et al., p. 3738

Immune checkpoint inhibitor (ICI) therapy is now in widespread clinical use for the treatment of lung cancer. Although patients with autoimmune disease and other comorbidities were excluded from initial clinical trials, emerging real-world experience suggests that these promising treatments may be administered safely to individuals with inactive low-risk autoimmune disease such as rheumatoid arthritis or psoriasis, mild to moderate renal and hepatic dysfunction, and certain chronic viral infections. Considerations for ICI in autoimmune disease populations include exacerbations of the underlying autoimmune disease, increased risk of ICI-induced immune-related adverse events, and potential for compromised efficacy if patients are receiving chronic immunosuppression. Immune checkpoint inhibitor use in higher-risk autoimmune conditions, such as myasthenia gravis or multiple sclerosis, requires careful evaluation on a case-by-case basis. Immune checkpoint inhibitor use in individuals with solid organ transplant carries a substantial risk of organ rejection. Ongoing research into the prediction of ICI efficacy and toxicity may help in patient selection, treatment, and monitoring.

Background Clinical outcomes for resected early‐stage non‐small cell lung cancer (NSCLC) are superior at high‐volume facilities, but reasons for these differences remain unclear. Understanding these differences and optimizing outcomes across institutions are critical to the management of the increasing incidence of these cases. We evaluated the extent to which surgical best practices account for resected early‐stage NSCLC outcome differences between facilities according to case volume. Methods We performed a retrospective cohort study for clinical stage 1 or 2 NSCLC undergoing surgical resection from 2004 to 2013 using the National Cancer Database (NCDB). Surgical best practices (negative surgical margins, lobar or greater resection, lymph node (LN) dissection, and examination of > 10 LNs) were compared between the highest and lowest quartile volumes. Results A total of 150,179 patients were included in the cohort (89% white, 53% female, median age 68 years). In a multivariate model, superior overall survival (OS) was observed at highest volume centers compared to lowest volume centers (hazard ratio (HR) = 0.89; 95% CI, 0.82‐0.96; P = .002). After matching for surgical best practices, there was no significant OS difference (HR = 0.95; 95% CI, 0.87‐1.05; P = .32). Propensity score‐adjusted HR estimates indicated that surgical best practices accounted for 54% of the numerical OS difference between low‐volume and high‐volume centers. Each surgical best practice was independently associated with improved OS (all P ≤ .001). Conclusion Quantifiable and potentially modifiable surgical best practices largely account for resected early‐stage NSCLC outcome differences observed between low‐ and high‐volume centers. Adherence to these guidelines may reduce and potentially eliminate these differences., High‐volume facilities have been observed to be associated with improved outcomes compared to low‐volume facilities for non‐small cell lung cancer surgery. We found that controlling for surgical quality measures minimizes outcome differences between facility types, suggesting that high‐quality care provision for lung cancer surgery requires compliance with surgical quality measures.

Immune checkpoint inhibitor (ICI)‐induced immune‐related adverse events (irAEs) may affect almost any organ system and occur at any point during therapy. Autoantibody analysis may provide insight into the mechanism, nature, and timing of these events. We report a case of ICI‐induced late‐onset Raynaud's‐like phenomenon in a patient receiving combination immunotherapy. A 53‐year‐old woman with advanced non‐small lung cancer received combination anti‐cytotoxic T‐lymphocyte antigen 4 and anti‐programmed death 1 ICI therapy. She developed early (hypophysitis at 4 months) and late (Raynaud's at >20 months) irAEs. Longitudinal assessment of 124 autoantibodies was correlated with toxicity. Although autoantibody levels were generally stable for the first 18 months of therapy, shortly before the development of Raynaud's, a marked increase in multiple autoantibodies was observed. This case highlights the potential for delayed autoimmune toxicities and provides potential biologic insights into the dynamic nature of these events. Key Points A patient treated with dual anti‐PD1 and anti‐CTLA4 therapy developed Raynaud's‐like signs and symptoms more than 18 months after starting therapy.In this case, autoantibody changes became apparent shortly before onset of clinical toxicity.This case highlights the potential for late‐onset immune‐related adverse events checkpoint inhibitors, requiring continuous clinical vigilance.The optimal duration of checkpoint inhibitor therapy in patients with profound and prolonged responses remains unclear., Autoantibody analysis may provide insight into the mechanism, nature, and timing of immune‐related adverse events. This case report describes a case of immune checkpoint inhibitor‐induced late‐onset Raynaud's‐like phenomenon in a patient receiving combination immunotherapy.

Immune-related adverse events (irAE) may affect almost any organ system and occur at any point during treatment with immune checkpoint inhibitors (ICI). We present a patient with advanced lung cancer receiving antiprogrammed death 1 checkpoint inhibitor who developed a delayed-onset visual irAE treated with corticosteroids. Through assessment of longitudinal biospecimens, we analyzed serial autoantibodies, cytokines, and cellular populations. Months after ICI initiation and preceding clinical toxicity, the patient developed broad increases in cytokines (most notably interleukin-6 (IL-6), interferon-γ (IFNγ), C-X-C motif chemokine ligand 2 (CXCL2), and C–C motif chemokine ligand 17 (CCL17)), autoantibodies (including anti-angiotensin receptor, α-actin, and amyloid), CD8 T cells, and plasmablasts. Such changes were not observed in healthy controls and ICI-treated patients without irAE. Administration of corticosteroids resulted in immediate and profound decreases in cytokines, autoantibodies, and inflammatory cells. This case highlights the potential for late-onset changes in humoral and cellular immunity in patients receiving ICI. It also demonstrates the biologic effects of corticosteroids on these parameters. Application of humoral and cellular immune biomarkers across ICI populations may inform toxicity monitoring and management.

Background Thyroid dysfunction is among the most common autoimmune diseases and immune checkpoint inhibitor (ICI)-induced immune-related adverse events (irAE). We determined the association between longitudinal thyroid function and clinical outcomes in patients treated with ICI. Methods We identified all patients treated with ICI at UT Southwestern Medical Center from January 1, 2011, through December 31, 2020. We defined normal thyroid stimulating hormone (TSH) and free thyroxine (FT4) levels according to institutional reference range. We defined clinical thyroid dysfunction using established criteria incorporating labs and treatment. We determined the association between thyroid function and overall survival (OS) using Kaplan–Meier curves, log-rank tests, and multivariate Cox proportional hazards model. Results A total of 1781 patients were included in analyses, of whom 381 (21%) had abnormal baseline TSH. Patients with abnormal baseline TSH were more likely to be female, have kidney cancer, and initiate levothyroxine after ICI initiation (all P P P P P = 0.008). Conclusions ICI-induced thyroid dysfunction is associated with improved survival, although abnormal TSH prior to ICI initiation is associated with inferior survival. Precis Thyroid abnormalities occur commonly in the general population and as immunotherapy toxicities. We found that immunotherapy-induced thyroid dysfunction is associated with better survival, but pre-existing thyroid abnormalities convey worse outcomes.

Lineage transformation between lung cancer subtypes is a poorly understood phenomenon associated with resistance to treatment and poor patient outcomes. Here, we aimed to model this transition to define underlying biological mechanisms and identify potential avenues for therapeutic intervention. Small cell lung cancer (SCLC) is neuroendocrine in identity and, in contrast to non-SCLC (NSCLC), rarely contains mutations that drive the MAPK pathway. Likewise, NSCLCs that transform to SCLC concomitantly with development of therapy resistance downregulate MAPK signaling, suggesting an inverse relationship between pathway activation and lineage state. To test this, we activated MAPK in SCLC through conditional expression of mutant KRAS or EGFR, which revealed suppression of the neuroendocrine differentiation program via ERK. We found that ERK induces the expression of ETS factors that mediate transformation into a NSCLC-like state. ATAC-seq demonstrated ERK-driven changes in chromatin accessibility at putative regulatory regions and global chromatin rewiring at neuroendocrine and ETS transcriptional targets. Further, ERK-mediated induction of ETS factors as well as suppression of neuroendocrine differentiation were dependent on histone acetyltransferase activities of CBP/p300. Overall, we describe how the ERK-CBP/p300-ETS axis promotes a lineage shift between neuroendocrine and non-neuroendocrine lung cancer phenotypes and provide rationale for the disruption of this program during transformation-driven resistance to targeted therapy.

Importance: As cancer treatment has become more individualized, oncologic clinical trials have become more complex. Increasingly numerous and stringent eligibility criteria frequently include tumor molecular or genomic characteristics that may not be readily identified in medical records, rendering it difficult to best match clinical trials with clinical sites and to identify potentially eligible patients once a clinical trial has been selected and activated. Partly because of these factors, enrollment rates for cancer clinical trials remain low, creating delays and increased costs for drug development. Information technology (IT) platforms have been applied to the implementation and conduct of clinical trials to improve efficiencies in several medical fields, and these platforms have recently been introduced to oncologic studies. Observations: This review summarizes cancer and noncancer studies that used IT platforms for assistance with clinical trial site selection, patient recruitment, and patient screening. The review does not address the use of IT in other aspects of clinical research, such as wearable physical activity monitors or telehealth visits. A large number of IT platforms (which may be patient facing, site or investigator facing, or sponsor facing) are now commercially available. These applications use artificial intelligence and/or natural language processing to identify and summarize protocol eligibility criteria, institutional patient populations, and individual electronic health records. Although there is an expanding body of literature examining the role of this technology, relatively few studies to date have been performed in oncologic settings. Conclusions and Relevance: This review found that an increasing number and variety of IT platforms were available to assist in the planning and conduct of clinical trials. Because oncologic clinical care and clinical trial protocols are particularly complex, nuanced, and individualized, published experience with this technology in other fields may not be fully applicable to cancer settings. The extent to which these services will overcome ongoing and increasing challenges in cancer clinical research remains unclear.

Background With the expansion of non-small cell lung cancer (NSCLC) screening methods, the percentage of cases with early-stage NSCLC is anticipated to increase. Yet it remains unclear how the type and case volume of the health care facility at which treatment occurs may affect surgery selection and overall survival for cases with early-stage NSCLC. Methods A total of 332,175 cases with the American Joint Committee on Cancer (AJCC) TNM stage I and stage II NSCLC who were reported to the National Cancer Data Base (NCDB) by 1302 facilities were studied. Facility type was characterized in the NCDB as community cancer program (CCP), comprehensive community cancer program (CCCP), academic/research program (ARP), or integrated network cancer program (INCP). Each facility type was dichotomized further into high-volume or low-volume groups based on the case volume. Multivariate Cox proportional hazard models, the logistic regression model, and propensity score matching were used to evaluate differences in survival and surgery selection among facilities according to type and volume. Results Cases from ARPs were found to have the longest survival (median, 16.4 months) and highest surgery rate (74.8%), whereas those from CCPs had the shortest survival (median, 9.7 months) and the lowest surgery rate (60.8%). The difference persisted when adjusted by potential confounders. For cases treated at CCPs, CCCPs, and ARPs, high-volume facilities had better survival outcomes than low-volume facilities. In facilities with better survival outcomes, surgery was performed for a greater percentage of cases compared with facilities with worse outcomes. Conclusions For cases with early-stage NSCLC, both facility type and case volume influence surgery selection and clinical outcome. Higher surgery rates are observed in facilities with better survival outcomes.

Pancreatic cancer is expected to become the second leading cause of cancer-related death within the next few years. Current therapeutic strategies have limited effectiveness and therefore there is an urgency to develop novel effective therapies. The receptor tyrosine kinase subfamily TAM (Tyro3, Axl, MerTK) is directly implicated in the pathogenesis of the metastatic, chemoresistant, and immunosuppressive phenotype in pancreatic cancer. TAM inhibitors are promising investigational therapies for pancreatic cancer due to their potential to target multiple aspects of pancreatic cancer biology. Specifically, recent mechanistic investigations and therapeutic combinations in the preclinical setting suggest that TAM inhibition with chemotherapy, targeted therapy, and immunotherapy should be evaluated clinically.

Immune-related adverse events induced by immune checkpoint inhibitor (ICI) therapy may affect diverse organ systems, including skeletal and cardiac muscle. ICI-associated myositis may result in substantial morbidity and occasional mortality. We present a case of a patient with advanced non-small cell lung cancer who developed grade 4 myositis with concurrent myocarditis early after initiation of anti-programmed death ligand 1 therapy (durvalumab). Autoantibody analysis revealed marked increases in anti-3-hydroxy-3-methylglutaryl-coenzyme A reductase antibody levels that preceded clinical toxicity, and further increased during toxicity. Notably, the patient had a history of intolerable statin myopathy, which had resolved clinically after statin discontinuation and prior to ICI initiation. This case demonstrates a potential association between statin exposure, autoantibodies, and ICI-associated myositis.

Background Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of multiple cancers. However, these promising therapies may also cause immune-related adverse events (irAEs) in a substantial proportion of patients. These autoimmune phenomena may affect almost any organ system and may occur at almost any point in therapy. In some instances, these toxicities are life-threatening and potentially permanent. Diverse clinical presentation and unpredictable timing further complicate their anticipation and diagnosis. Content To improve patient safety and selection for ICI use, biomarkers for irAE diagnosis and prediction are under development. Clinicians may use traditional laboratory markers such as routine chemistries, creatinine clearance, thyroid function tests, and serum cortisol/adrenocorticotrophic hormone to monitor for specific irAEs, but noted aberrations may not necessarily represent an immune-mediated etiology. Novel biomarkers have the potential to be more specific to assist in the diagnosis of irAEs. The prediction of irAEs is more challenging. Apart from a history of autoimmune disease, no other clinical parameters are routinely used to project risk. Biomarker candidates under investigation for irAE diagnosis and prediction include blood cell analysis, chemokines/cytokines, autoantibodies, and genetic predisposition, such as human leukocyte antigen haplotype. Among other emerging candidates are immune-cell subsets, T-cell repertoire, fecal microbiome, tumor genomics, and radiomic characterization. Summary Several conventional laboratory indexes of end-organ dysfunction are currently in routine clinical use for irAE monitoring and diagnosis. Novel biomarkers for the prediction and diagnosis of these irAEs, which primarily characterize patient immune function, represent an area of active investigation.

BackgroundIncreased body mass index (BMI) has been associated with improved response to immune checkpoint inhibitors (ICIs) in multiple cancer types. We evaluated associations between BMI, ICI dosing strategy, and clinical outcomes.MethodsWe abstracted clinical data on patients with cancer treated with ICI, including age, sex, cancer type, BMI, ICI type, dosing strategy (weight-based or fixed), radiographic response, overall survival (OS), and progression-free survival (PFS). We compared clinical outcomes between low-BMI and high-BMI populations using Kaplan-Meier curves, Cox regressions, and Pearson product-moment correlation coefficients.ResultsA total of 297 patients were enrolled, of whom 40% were women and 59% were overweight (BMI≥25). Of these, 204 (69%) received fixed and 93 (31%) received weight-based ICI dosing. In the overall cohort, overweight BMI was associated with improved PFS (HR 0.69; 95% CI 0.51 to 0.94; p=0.02) and had a trend toward improved OS (HR 0.77; 95% CI 0.57 to 1.04; p=0.08). For both endpoints, improved outcomes in the overweight population were limited to patients who received weight-based ICI dosing (PFS HR 0.53; p=0.04 for weight-based; vs HR 0.79; p=0.2 for fixed dosing) (OS HR 0.56; p=0.03 for weight-based; vs HR 0.89; p=0.54 for fixed dosing). In multivariable analysis, BMI was not associated with PFS or OS. However, the interaction of BMI≥25 and weight-based dosing had a trend toward association with PFS (HR 0.53; 95% CI 0.26 to 1.10; p=0.09) and was associated with OS (HR 0.50; 95% CI 0.25 to 0.99; p=0.05). Patients with BMIConclusionsThe clinical benefit of ICI in high-BMI populations appears limited to individuals receiving weight-based ICI dosing. Further research into optimal ICI dosing strategies may be warranted.

BACKGROUND: While there is increased attention to designing and explaining clinical trials in ways that are clinically meaningful for patients, there is limited information on patient preferences, understanding and perceptions of this content. METHODS: Using maximum difference scaling (MaxDiff) methodology, we developed a survey assessing understanding of 19 clinical terms and perceived importance of nine endpoint surrogate phrases employed in clinical trials and consent forms. The survey was administered electronically to individuals with metastatic breast cancer affiliated with the Metastatic Breast Cancer Alliance. Analysis was performed using the “bayesm” package in the R Statistical Package. RESULTS: Among 503 respondents, 77% had a college degree, 70% were diagnosed with metastatic disease ≥2 years prior to survey completion, and 77% had received ≥2 lines of systemic therapy. Less than 35% of respondents reported understanding “fairly well” the terms “symptomatic progression,” “duration of disease control,” “time to treatment cessation,” and “endpoints.” Income level and time since onset of metastatic disease correlated with comprehension. Patients who had received six or more lines of therapy perceived “time until serious side effects” (P

INTRODUCTION: The use of molecular biomarkers to guide lung cancer management has led to increasing frequency and amounts of tissue required for repeat lung biopsies. While patient safety and reporting of adverse events has been increasingly emphasized in recent decades, the safety of lung biopsies in patients with lung cancer has only been studied in small cohorts. We therefore analyzed adverse events in patients with lung cancer undergoing lung biopsies in the National Hospital Discharge Survey (NHDS) database. METHODS: Data were abstracted using ICD-9 lung cancer diagnosis (162.X) and lung biopsy procedure codes (33.20, 33.24, 33.25, 33.26, 33.27, 33.28) from 2001-2010. Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicators (PSI) were used to identify hospital-acquired adverse events. Weighted analyses were performed using SAS version 9.4. RESULTS: A total of 540,747 patients were included for analysis. The number of biopsies increased over time, from 51,221 in 2001, to 63,239 in 2010 (P

3043 Background: Baseline circulating white blood cell differential counts have been proposed as possible markers of response to Immune therapy (ICI) and immune toxicity (irAE), but have not been validated for clinical practice. Methods: 214 patients with various cancers receiving ICI had clinical lab results and overall/organ specific irAE analyzed. Absolute lymphocyte (ALC), eosinophil (AEC) and neutrophil (ANC) counts

e15126 Background: The mechanisms by which immune checkpoint inhibitors (ICI) cause immune related adverse events (irAE) are not clear. No current blood tests predict which patients will suffer irAEs. Methods: 70 cancer patients had blood drawn prior to ICI and then 4-6 weeks later. 63 had lung cancer; median age was 69 yrs; 21 were female and median ICI treatment duration was 142 days. Patient blood samples were analyzed using flow cytometry for over 50 lymphoid and myeloid markers to determine levels of circulating white blood cells, as well as their changes over time. Medical records were reviewed for irAE’s grades in 8 groups: rash, colitis, hypothyroidism, hyperthyroidism, hypophysitis, hepatitis, adrenal insufficiency, and pneumonitis. To determine association between toxicity and cell counts we used logistic regression and random forest for the univariate and multivariate analysis. We included a random permutation of the baseline age (which is associated with higher toxicity rates) as the analytical control in the random forest model to help identify the threshold of association strength of a random noise and to identify only those cell subsets that were statistically significant (reported below). Results: Patients with elevated baseline levels of specific subsets of T-cells were more likely to develop irAE’s, and elderly patients were more likely to develop Grade 2 irAE’s. T-cell populations associated with any toxicity included CD3+CD8+PD1+; CD3+CD8+; CD25+CD127lowFoxP3+ and CD3+CD8+Ki-67+. Also, patients who developed any irAE’s demonstrated changes in the following cell types after 2 doses of immune therapy compared to their baseline readings. These included changes in the percentage of circulating cells that were CD3+CD8+PD1+; CD3+CD8+HLA-DR+; CD3+CD4+HLA-DR+; CD3+CD8+CCR7-; CD56+; CD3-CD19-; CD3+CD8+; CD16+CD56dim. Patients with grade ≥2 toxicities, or organ specific toxicities demonstrated statistically significant differing levels of T-cells subsets, though the number of patients in each group was limited. Patients with > median baseline expression of CD3+ CD8+ PD1+ cells had greater survival compared with those that had < median levels. Conclusions: Flow cytometry analysis of patients receiving immune therapy at baseline and 6 weeks after initiating therapy may predict which patients are at greater likelihood of any/organ specific irAEs, potentially leading to an improved understanding their mechanisms. Responding to leukocyte changes by substitution of drugs or shortening of treatment duration may reduce irAEs.

e15103 Background: Immune checkpoint inhibitors (ICI) frequently cause thyroid dysfunction. We performed a longitudinal analysis of thyroid function tests in a large, single-center cohort of patients with multiple cancer types receiving ICI. Methods: We performed a retrospective medical records review of consecutive patients treated with ICI from 1/1/2005 to 12/31/2018. We collected demographic and clinical data, including serial thyroid function tests. We compared overall survival between patients with normal and abnormal thyroid stimulating hormone (TSH) at baseline and after ICI initiation using Kaplan-Meier curves, log-rank tests, and multivariate Cox proportional hazards model. Results: A total of 910 patients were included: 63% male, 82% white, median age 67. The most common cancer types were lung (26%), kidney (18%), and melanoma (17%). ICI types were anti-PD1/L1 (78%), anti-CTLA-4 (7%), and combination ICI (15%). Normal baseline TSH and abnormal post-treatment TSH was associated with longer overall survival (median survival 26 months) compared to all other TSH permutations (median survival < 10 months) ( P< 0.001). This finding persisted after multivariate Cox regression adjustment for age, gender and cancer type (P < 0. 001), and also after sensitivity analysis censoring patients who died within 2 months after starting ICI. Conversely, abnormal TSH at baseline was associated with lower overall survival (median 8 months) compared to normal TSH at baseline (median 18 months) ( P< 0.001), which also persisted in multivariate analysis ( P< 0.001). Kidney and head and neck cancers (71% and 69%) were associated with increased development of thyroid dysfunction compared to melanoma, lung and other urological cancers (52%, 50% and 35%) ( P< 0.01). Conclusions: Although abnormal thyroid function after ICI initiation was associated with improved overall survival, pre-treatment thyroid abnormalities were associated with worse overall survival. Given the prevalence of thyroid abnormalities in the general population, further research into these observations is warranted.

Introduction Advances in surgical techniques have improved clinical outcomes and decreased complications. At the same time, heightened attention to care quality has resulted in increased identification of hospital-acquired adverse events. We evaluated these divergent effects on the reported safety of lung cancer resection. Methods and materials We analyzed hospital-acquired adverse events in patients undergoing lung cancer resection using the National Hospital Discharge Survey (NHDS) database from 2001–2010. Demographics, diagnoses, and procedures data were abstracted using ICD-9 codes. We used the Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicators (PSI) to identify hospital-acquired adverse events. Weighted analyses were performed using t-tests and chi-square. Results A total of 302,444 hospitalizations for lung cancer resection and were included in the analysis. Incidence of PSI increased over time (28% in 2001–2002 vs 34% in 2009–2010; P

Older adults are disproportionately affected by influenza morbidity and mortality. In most high income countries, influenza vaccine policies target persons age ≥65 years for influenza vaccination. Many low-resource settings do not utilize seasonal influenza vaccination. Barriers to influenza prevention among older adults around the globe are multiple and some vary between high- and low-resource settings. To maximize influenza prevention in the older adult population, gaps in influenza vaccination coverage and improvements in vaccine efficacy are needed. The focus of this article is on the data for currently available vaccine strategies to maximize influenza vaccine impact, with a focus on high-resource settings. We also discuss novel influenza vaccine strategies needed for older adults worldwide.

9067Background: Immune checkpoint inhibitors are routinely used in Non Small Cell Lung Cancer (NSCLC) patients following progression on first-line therapy. Immune-related Adverse Events (IrAEs) hav...