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Abstract Women with a history of vulvar cancer face a high risk of anal cancer; however, incidence according to histology, age-at, and time since vulvar cancer diagnosis remains unexplored. Using data from SEER-8 and SEER-17 registries, we identified 21,230 women with vulvar cancer, with 154,825 person-years follow-up from 1975 to 2021. We observed 95 anal cancer cases, resulting in an incidence of 61.4 per 100,000 person-years (95% CI, 49.6-75.0). Incidence was higher among women with vulvar squamous cell carcinoma (SCC) (78.7; 95% CI, 62.9-97.1) than vulvar non-SCC (19.8; 95% CI, 9.0-37.6). The highest incidence (>100 per 100,000) was observed in women <45 years old with vulvar SCC and those >10 years post-diagnosis. These findings could inform anal cancer screening guidelines, as women with vulvar cancer, particularly those diagnosed with SCC, may substantially benefit from heightened surveillance or targeted screening.

Non-AIDS-defining cancers are a growing source of morbidity for people with HIV globally. Although people living with HIV have a disproportionately increased risk of developing virally mediated cancers, cancer burden for common non-AIDS-defining cancers that are not virally associated and are linked to ageing, such as prostate cancer, is becoming higher than for virally mediated cancers. Ageing, behavioural, and HIV-specific factors drive the incidence and affect the outcomes of non-AIDS-defining cancers, presenting different challenges for addressing global morbidity and mortality from non-AIDS-defining cancer. Although large population-based studies have shown that people living with HIV with non-AIDS-defining cancers have poorer cancer outcomes than do people without HIV, current guidelines emphasise that people living with HIV with non-AIDS-defining cancers should receive standard, guideline-based treatment, and infectious disease and oncology providers should work closely to address potential drug interactions between antiretroviral therapy and antineoplastic treatment. Most trials target preventive measures focusing on non-AIDS-defining cancers. However, treatment trials for the optimal management of people living with HIV and non-AIDS-defining cancer, including interventions such as immunotherapies, are needed to improve non-AIDS-defining cancer outcomes.

Anal cancer incidence is significantly higher in people living with HIV as HIV increases the oncogenic potential of human papillomavirus. The incidence of anal cancer in the United States has recently increased, with diagnosis and treatment hampered by high loss-to-follow-up rates. Novel methods for the automated, real-time diagnosis of AIN 2+ could enable \"see and treat\" strategies, reducing loss-to-follow-up rates. A previous retrospective study demonstrated that the accuracy of a high-resolution microendoscope (HRME) coupled with a deep learning model was comparable to expert clinical impression for diagnosis of AIN 2+ (sensitivity 0.92 [P = 0.68] and specificity 0.60 [P = 0.48]). However, motion artifacts and noise led to many images failing quality control (17%). Here, we present a high frame rate HRME (HF-HRME) with improved image quality, deployed in the clinic alongside a deep learning model and evaluated prospectively for detection of AIN 2+ in real-time. The HF-HRME reduced the fraction of images failing quality control to 4.6% by employing a high frame rate camera that enhances contrast and limits motion artifacts. The HF-HRME outperformed the previous HRME (P < 0.001) and clinical impression (P < 0.0001) in the detection of histopathologically confirmed AIN 2+ with a sensitivity of 0.91 and specificity of 0.87.

OBJECTIVES/GOALS: To quantify changing trends in hepatocellular carcinoma (HCC) etiologies, mainly hepatitis C related HCC (HCV-HCC), nonalcoholic fatty liver disease related HCC (NAFLD-HCC), and alcoholic liver disease related HCC (ALD-HCC), at a single center as well as compared to large national databases. METHODS/STUDY POPULATION: This is a retrospective longitudinal study using a single-center database of patients presenting with HCC from January 1995 to September 2023. Etiologies were confirmed through patient history, clinical exam, and viral serologies. Trends in rate of etiology were analyzed using linear regression. Further investigation will include survival analysis. To improve generalizability, the single-center data were supplemented with national cross-sectional data from the NHANES database on liver disease prevalence from March 1999 to August 2023. Data were provided through questionnaire, clinical exam, and viral serologies. Trends in rates will be analyzed using linear regression. RESULTS/ANTICIPATED RESULTS: Among the single center cohort, NAFLD-HCC increased at an average rate of 1.3% per year (95% Confidence Interval (CI) = 1.1% to 1.4%) and HCV-HCC decreased at an average rate of -0.56% per year (95% CI = -0.83% to -0.29%). Projecting the linear models for the past ten years forward, HCV-HCC is predicted to take up a lower proportion than NASH-HCC by 2026 and lower proportion than ALD-HCC by 2028. Future results will include analysis of the changing proportions of etiologies for liver transplant and survival analysis for HCC by etiology from the single center cohort. Additionally, national trends in HCC etiologies will be provided from the NHANES database. The trends from liver transplant etiology and NHANES are expected to parallel the preliminary results. DISCUSSION/SIGNIFICANCE: As the prevalence of NAFLD increases in the general population, more cases of NAFLD-HCC will be seen in the future. Understanding the changing trends can guide surveillance recommendations, shape treatment algorithms, and frame research priorities.

While previous cost-effectiveness studies on pembrolizumab in stage IV non-small cell lung cancer (NSCLC) have found these regimens to be cost-effective, their reliance on randomized controlled trial (RCT) data with strict inclusion criteria limits generalizability to patients with comorbidities. We estimated the cost-effectiveness of first-line pembrolizumab for patients with various comorbidities. In our base case analysis, we studied pembrolizumab plus chemotherapy (pembrolizumab combination therapy) versus chemotherapy alone. In a secondary analysis, we considered only patients with PD-L1 expression of at least 50% (PD-L1-high) and evaluated pembrolizumab monotherapy, pembrolizumab combination therapy, and chemotherapy alone. Microsimulation models were developed for the base case and the PD-L1-high analyses. To estimate outcomes of patients with differing comorbidities, we combined survival data from patients with few or no comorbidities from the RCTs with estimates from the general population obtained from the Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Comorbidity burden level was divided into three groups based on the Charlson score (equal to 0, 1, or 2+); patients with various other specific comorbidities were also analyzed. Incremental cost-effectiveness ratios (ICER) were compared to a willingness-to-pay (WTP) threshold of $100,000/quality-adjusted life-year (QALY). In the Charlson 0, Charlson 1, and Charlson 2+ patient populations, estimated ICERs for pembrolizumab combination therapy in the base case model were $173,919/QALY, $175,165/QALY, and $181,777/QALY, respectively, compared to chemotherapy. In the PD-L1-high model, the Charlson 0, Charlson 1, and Charlson 2+ patients had ICERs of $147,406/QALY, $149,026/QALY, and $154,521/QALY with pembrolizumab combination therapy versus chemotherapy. Pembrolizumab monotherapy was weakly dominated for each comorbidity group in the PD-L1-high model. For patients with stage IV NSCLC and varying comorbidity burden, first-line treatment with pembrolizumab does not represent a cost-effective strategy compared to chemotherapy. Resources should be focused on collecting immunotherapy survival data for more representative NSCLC patient populations.

Veterans are at increased risk of lung cancer and many have comorbidities such as chronic obstructive pulmonary disease (COPD) and coronary artery disease (CAD). We used simulation modeling to assess projected outcomes associated with different management strategies of Veterans with stage I non-small cell lung cancer (NSCLC) with COPD and/or CAD. Using data from a cohort of 14,029 Veterans (years 2000-2015) with NSCLC we extended a well-validated mathematical model of lung cancer to represent the management and outcomes of Veterans with stage I NSCLC with COPD, with or without comorbid CAD. We simulated multiple randomized trials to compare treatment with lobectomy, limited resection, or stereotactic body radiation therapy (SBRT). Model output estimated expected quality adjusted life years (QALY) of Veterans with stage I NSCLC according to age, tumor size, histologic subtype, COPD severity and CAD diagnosis. For Veterans <70 years old lobectomy was associated with greater projected quality-adjusted life expectancy regardless of comorbidity status. For most combinations of tumors and comorbidity profiles there was no dominant treatment for Veterans ≥80 years of age, but less invasive treatments were often superior to lobectomy. Dominant treatment choices differed by CAD status for older patients in a third of scenarios, but not for patients <70 years old. The harm/benefit ratio of treatments for stage I NSCLC among Veterans may vary according to COPD severity and the presence of CAD. This information can be used to direct future research study design for Veterans with stage I lung cancer and COPD and/or CAD.

Chronic obstructive pulmonary disease (COPD) is associated with poor quality of life, hospitalization and mortality. COPD phenotype includes using pulmonary function tests to determine airflow obstruction from the forced expiratory volume in one second (FEV1):forced vital capacity. FEV1 is a commonly used value for severity but is difficult to identify in structured electronic health record (EHR) data. Using the Microsoft SQL Server's full-text search feature and string functions supporting regular-expression-like operations, we developed an automated tool to extract FEV1 values from progress notes to improve ascertainment of FEV1 in EHR in the Veterans Aging Cohort Study (VACS). The automated tool increased quantifiable FEV1 values from 12,425 to 16,274 (24% increase in numeric FEV1). Using chart review as the reference, positive predictive value of the tool was 99% (95% Confidence interval: 98.2-100.0%) for identifying quantifiable FEV1 values and a recall value of 100%, yielding an F-measure of 0.99. The tool correctly identified FEV1 measurements in 95% of cases. A SQL-based full text search of clinical notes for quantifiable FEV1 is efficient and improves the number of values available in VA data. Future work will examine how these methods can improve phenotyping of patients with COPD in the VA.

Importance The prognosis for patients with metastatic pancreatic ductal adenocarcinoma (PDAC) is dismal, due in part to chemoresistance. Bacteria-mediated mechanisms of chemoresistance suggest a potential role for antibiotics in modulating response to chemotherapy. Objective To evaluate whether use of peritreatment antibiotics is associated with survival among patients with metastatic PDAC treated with first-line gemcitabine or fluorouracil chemotherapy. Design, Setting, and Participants Using the population-based Surveillance, Epidemiology, and End Results–Medicare linked database, this retrospective cohort study analyzed data for patients diagnosed with PDAC between January 1, 2007, and December 31, 2017. Data analysis was conducted between September 1, 2021, and January 15, 2023. The population-based sample included 3850 patients with primary metastatic PDAC treated with first-line gemcitabine or fluorouracil chemotherapy. Patients who received antibiotics were matched based on propensity scores to patients who did not receive antibiotics. Exposures Receipt of 5 or more days of oral antibiotics or 1 injectable antibiotic in the month before or after beginning first-line chemotherapy. Main Outcomes and Measures Overall survival and cancer-specific survival. The end of follow-up was December 31, 2019, for overall survival and December 31, 2018, for cancer-specific survival. Results Of the 3850 patients treated with first-line gemcitabine (3150 [81.8%]) or fluorouracil (700 [18.2%]), 2178 (56.6%) received antibiotics. The mean (SD) age at diagnosis was 74.2 (5.8) years and patients were predominantly women (2102 [54.6%]), White (3396 [88.2%]), and from metropolitan areas (3393 [88.1%]) in the northeastern or western US (2952 [76.7%]). In total, 1672 propensity-matched pairs were analyzed. Antibiotic receipt was associated with an 11% improvement in overall survival (hazard ratio [HR], 0.89; 95% CI, 0.83-0.96;P = .003) and a 16% improvement in cancer-specific survival (HR, 0.84; 95% CI, 0.77-0.92;P < .001) among patients treated with gemcitabine. In contrast, there was no association between antibiotic receipt and overall survival (HR, 1.08; 95% CI, 0.90-1.29;P = .41) or cancer-specific survival (HR, 1.12; 95% CI, 0.90-1.36;P = .29) among patients treated with fluorouracil. In a subgroup of gemcitabine-treated patients who received antibiotics, nonpenicillin β-lactams were associated with an 11% survival benefit (HR, 0.89; 95% CI, 0.81-0.97;P = .01). Conclusions and Relevance In this cohort study, receipt of perichemotherapy antibiotics was associated with improved survival among patients treated with gemcitabine, but not fluorouracil, suggesting that antibiotics may modulate bacteria-mediated gemcitabine resistance and have the potential to improve PDAC outcomes.

Randomized controlled trials (RCTs) have demonstrated a survival benefit for adjuvant platinum-based chemotherapy after resection of locoregional non-small cell lung cancer (NSCLC). The relative benefits and harms and optimal approach to treatment for NSCLC patients who have major comorbidities (chronic obstructive pulmonary disease [COPD], coronary artery disease [CAD], and congestive heart failure [CHF]) are unclear, however. We used a simulation model to run in-silico comparative trials of adjuvant chemotherapy versus observation in locoregional NSCLC in patients with comorbidities. The model estimated quality-adjusted life years (QALYs) gained by each treatment strategy stratified by age, comorbidity, and stage. The model was parameterized using outcomes and quality-of-life data from RCTs and primary analyses from large cancer databases. Adjuvant chemotherapy was associated with clinically significant QALY gains for all patient age/stage combinations with COPD except for patients >80 years old with Stage IB and IIA cancers. For patients with CHF and Stage IB and IIA disease, adjuvant chemotherapy was not advantageous; in contrast, it was associated with QALY gains for more advanced stages for younger patients with CHF. For stages IIB and IIIA NSCLC, most patient groups benefited from adjuvant chemotherapy. However, In general, patients with multiple comorbidities benefited less from adjuvant chemotherapy than those with single comorbidities and women with comorbidities in older age categories benefited more from adjuvant chemotherapy than their male counterparts. Older, multimorbid patients may derive QALY gains from adjuvant chemotherapy after NSCLC surgery. These results help extend existing clinical trial data to specific unstudied, high-risk populations and may reduce the uncertainty regarding adjuvant chemotherapy use in these patients.

Background The social determinants of health that influence steps in the entire Hepatitis C Virus (HCV) treatment cascade must be identified to achieve HCV elimination goals. This project aimed to evaluate the association of these factors with HCV treatment completion and return for sustained virologic response (SVR) testing. Methods We used retrospective cohort data from our primary care-based HCV treatment program that provides comprehensive harm reduction care to those who use or formerly used drugs. Among persons who began direct-acting antiviral HCV treatment between December 2014 and March 2018, we identified two outcomes: HCV treatment completion and return for SVR assessment 12 weeks after treatment end. Several predictors were ascertained including sociodemographic information, substance use, psychiatric symptoms and history, housing instability, and HCV treatment regimen. We then evaluated associations between predictors and outcomes using univariate and multivariable statistical methods. Results From a cohort of 329 patients treated in an urban primary care center, multivariable analysis identified housing instability as a single significant predictor for HCV treatment completion (odds ratio [OR]: 0.3; 95% confidence interval [CI]: 0.1–0.9). Among patients completing treatment, 226 (75%) returned for SVR assessment; the sole predictor of this outcome was Medicaid as primary insurance (compared to other insurances; OR 0.3; 0.1–0.7). Conclusions Innovative strategies to help unstably housed persons complete HCV treatment are urgently needed in order to reach HCV elimination targets. Educational and motivational strategies should be developed to promote individuals with Medicaid in particular to return for SVR viral load testing, a critical post-treatment component of the HCV treatment cascade. Trial registration Not applicable.