Phase 1 trial of navitoclax and sorafenib in patients with relapsed or refractory solid tumors with hepatocellular carcinoma expansion cohort.

Navitoclax (ABT-263) is an oral BCL2 homology-3 mimetic that binds with high affinity to pro-survival BCL2 proteins, resulting in apoptosis. Sorafenib, an oral multi kinase inhibitor also promotes apoptosis and inhibits tumor angiogenesis. The efficacy of either agent alone is limited; however, preclinical studies demonstrate synergy with the combination of navitoclax and sorafenib. In this phase 1 study, we evaluated the combination of navitoclax and sorafenib in a dose escalation cohort of patients with refractory solid tumors, with an expansion cohort in hepatocellular carcinoma (HCC). Maximum tolerated dose (MTD) was determined using the continual reassessment method. Navitoclax and sorafenib were administered continuously on days 1 through 21 of 21-day cycles. Ten patients were enrolled in the dose escalation cohort and 15 HCC patients were enrolled in the expansion cohort. Two dose levels were tested, and the MTD was navitoclax 150 mg daily plus sorafenib 400 mg twice daily. Among all patients, the most common grade 3 toxicity was thrombocytopenia (5 patients, 20%): there were no grade 4 or 5 toxicities. Patients received a median of 2 cycles (range 1-36 cycles) and all patients were off study treatment at data cut off. Six patients in the expansion cohort had stable disease, and there were no partial or complete responses. Drug-drug interaction between navitoclax and sorafenib was not observed. The combination of navitoclax and sorafenib did not increase induction of apoptosis compared with navitoclax alone. Navitoclax plus sorafenib is tolerable but showed limited efficacy in the HCC expansion cohort. These findings do not support further development of this combination for the treatment of advanced HCC. This phase I trial was conducted under ClinicalTrials.gov registry number NCT01364051.

"Cancer's a demon": a qualitative study of fear and multilevel factors contributing to cancer treatment delays.

PURPOSE: Delays initiating cancer therapy are increasingly common, impact outcomes, and have implications for health equity. However, it remains unclear (1) whether patients' beliefs regarding acceptable diagnostic to treatment intervals align with current guidelines, and (2) to what degree psychological factors contribute to longer intervals. We conducted a qualitative study with patients and cancer care team members ("providers"). METHODS: We interviewed patients with several common solid tumors as well as providers. Interviews were analyzed using an interpretive approach, guided by modified grounded theory. RESULTS: Twenty-two patients and 12 providers participated. Half of patients had breast cancer; 27% waited >60 days between diagnosis and treatment. Several themes emerged. (1) Patients felt treatment should begin immediately following diagnosis, while providers' opinion on the goal timeframe to start treatment varied. (2) Patients experienced psychological distress while waiting for treatment. (3) Participants identified logistical, social, and psychological sources of delay. Fear related to multiple aspects of cancer care was common. Emotion-driven barriers could manifest as not taking steps to move ahead, or as actions that delayed care. (4) Besides addressing logistical challenges, patients believed that education and anticipatory guidance, from their care team and from peers, may help overcome psychological barriers to treatment and facilitate the start of therapy. CONCLUSIONS: Patients feel an urgency to start cancer therapy, desiring time frames shorter than those included in guidelines. Psychological distress is frequently both a contributor to, and a consequence of, treatment delays. Addressing multilevel barriers, including psychological ones, may facilitate timely treatment and reduce distress.

Validation of a Molecular Diagnostic Test for Circulating Tumor DNA by Next-Gen Sequencing.

A modified version of the PGDx elioTM Plasma Resolve assay was validated as a laboratory-developed test (LDT) for clinical use in the Molecular Diagnostics Laboratory at Fox Chase Cancer Center. The test detects single nucleotide variants (SNVs) and small insertions and deletions (indels) in 33 target genes using fragmented genomic DNA extracted from plasma. The analytical performance of this assay was assessed with reference standard DNA and 29 samples from cancer patients and detected 66 SNVs and 23 indels. Using 50 ng of input DNA, the sensitivity was 95.5% to detect SNVs at 0.5% allele frequency, and the specificity was 92.3%. The sensitivity to detect indels at 1% allele frequency was 70.4%. A cutoff of 0.25% variant allele frequency (VAF) was set up for diagnostic reporting. An inter-laboratory study of concordance with an orthologous test resulted in a positive percent agreement (PPA) of 91.7%.

Harmonized Outcome Measures for Use in Non-Small Cell Lung Cancer Patient Registries and Clinical Practice.

BACKGROUND: Lung cancer is the leading cause of cancer-related death in the United States and globally, and many questions exist about treatment options. Harmonizing data across registries and other data collection efforts would yield a robust data infrastructure to help address many research questions. The purpose of this project was to develop a minimum set of patient and clinician relevant harmonized outcome measures that can be collected in non-small cell lung cancer (NSCLC) patient registries and clinical practice. METHODS: Seventeen lung cancer registries and related efforts were identified and invited to submit outcome measures. Representatives from medical specialty societies, government agencies, health systems, health information technology groups, patient advocacy organizations, and industry formed a stakeholder panel to categorize the measures and harmonize definitions using the Agency for Healthcare Research and Quality's supported Outcome Measures Framework (OMF). RESULTS: The panel reviewed 66 outcome measures and identified a minimum set of 8 broadly relevant measures in the OMF categories of patient survival, clinical response, events of interest, and resource utilization. The panel harmonized definitions for the 8 measures through in-person and virtual meetings. The panel did not reach consensus on 1 specific validated instrument for capturing patient-reported outcomes. The minimum set of harmonized outcome measures is broadly relevant to clinicians and patients and feasible to capture across NSCLC disease stages and treatment pathways. A pilot test of these measures would be useful to document the burden and value of the measures for research and in clinical practice. CONCLUSIONS: By collecting the harmonized measures consistently, registries and other data collection systems could contribute to the development research infrastructure and learning health systems to support new research and improve patient outcomes.

Small Cell Lung Cancer, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology.

The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Small Cell Lung Cancer (SCLC) provide recommended management for patients with SCLC, including diagnosis, primary treatment, surveillance for relapse, and subsequent treatment. This selection for the journal focuses on metastatic (known as extensive-stage) SCLC, which is more common than limited-stage SCLC. Systemic therapy alone can palliate symptoms and prolong survival in most patients with extensive-stage disease. Smoking cessation counseling and intervention should be strongly promoted in patients with SCLC and other high-grade neuroendocrine carcinomas. The "Summary of the Guidelines Updates" section in the SCLC algorithm outlines the most recent revisions for the 2022 update, which are described in greater detail in this revised Discussion text.

In vivo and in vitro cell-based model of lung adenocarcinoma from patients with pleural effusion.

Lung adenocarcinoma (LAC) is a common and aggressive form of lung cancer that is increasing in incidence among never smokers at a younger age. Current treatment of patients with LAC is insufficient and there is a need for identification of effective biomarkers and development of therapeutic targets. These demands require also improved models for in vivo and in vitro experimentation. In this study, we describe the establishment of two LAC cell lines, named LuCa-3 and LuCa-6. Both were derived from pleural effusion (PE) cells of LAC patients (L3 and L6) and readily propagated as tumor xenografts in immunodeficient mice. PE cells from the patient L6 exhibited also the capacity for in vitro growth and were cultured in two forms: (i) as a suspension growing cell population, labeled LuCa-6S, composed of non-clumping single cells; and (ii) as a monolayer-like culture, labeled LuCa-6A, exhibiting tight cell-to-cell and to culture surface adherence. Unique features of these two sublines and their cell clones are the capacity to convert from a non-clumping single-cell suspension into the adherent growth pattern and vice versa. Immunostaining of patients' tumor tissue xenografts and cultured subline cells displayed markers specific for the phenotype of human LAC. LuCa-6S and LuCa-6A cells did not reveal a noticeable disparity in quantitative growth characteristics. However, a number of differences were detected between these two cell populations manifested in detection or intensities of antigen expressions on the cell surface (CD133, SFTPC) and in the nucleus (TTF-1) including pluripotent (OCT-4, SOX-2, NANOG) genes in cancer stem-like cells (CSCs). Dissimilarities between these two sublines were also detected in N-glycan profiles and in the sensitivity to natural killer cells. Salient features of these subline cell populations are responsiveness to selective upregulation of the pluripotent genes in subsets of CSCs via conversion of their growth patterns and/or by using culture stem media with growth factors. The described in vivo/in vitro model enables broader experimental approaches in studies of lung adenocarcinoma.

Hope-related goal cognitions and daily experiences of fatigue, pain, and functional concern among lung cancer patients.

PURPOSE: Cross-sectional research suggests that thinking about multiple ways to reach goals (hope pathways) and the belief that one can reach them (hope agency) may be adaptive for lung cancer patients. We examined the between-person and within-person associations among aspects of hope agency and pathways thinking, daily fatigue, pain, and functional concerns (e.g., sense of independence, usefulness) among lung cancer patients during active treatment. METHODS: Data from a daily diary study were used to examine relations among hope agency, hope pathways, fatigue, pain, and functional concern in 50 patients with advanced lung cancer. Participants were accrued from one outpatient cancer center and completed the study between 2014 and 2015. RESULTS: Adjusting for covariates and the previous day's symptoms or concern, patients who engaged in higher pathways thinking reported lower daily symptoms, whereas those who engaged in higher agency thinking reported less functional concern. Within-person increases in pathways thinking were associated with less daily fatigue, pain, and functional concern; within-person increases in agency thinking were associated with less daily fatigue and pain. Models examining symptoms and concerns as predictors of hope suggested within-person increases in functional concern and fatigue and pain were related to lower agency and pathways thinking the same day. Patients with higher fatigue and pain did not report lower agency or pathways thinking, but patients with more functional concern did. CONCLUSIONS: Increases in hope pathways thinking may be associated with lower symptoms and better functioning in lung cancer patients. This suggests that it is important to determine the efficacy of interventions that emphasize the pathways the component of hope.

A pooled analysis of individual patient data from National Clinical Trials Network clinical trials of concurrent chemoradiotherapy for limited-stage small cell lung cancer in elderly patients versus younger patients.

BACKGROUND: Platinum and etoposide with thoracic radiation followed by prophylactic cranial irradiation constitute the standard treatment for limited-stage small cell lung cancer (LS-SCLC). Many patients with LS-SCLC are elderly with comorbidities. METHODS: Individual patient data were collected from 11 phase 2 or 3 trials for LS-SCLC conducted by the National Clinical Trials Network and activated from 1990 to 2010. The primary endpoint was overall survival (OS); the secondary endpoints were progression-free survival (PFS), the rate of severe adverse events, and off-treatment reasons. The outcomes were compared for patients 70 years old or older (elderly patients) and patients younger than 70 years (younger patients). RESULTS: Individual patient data from 1049 younger patients (81%) and 254 elderly patients (19%) were analyzed. In the multivariate model, elderly patients, in comparison with younger patients, had worse OS (hazard ratio [HR], 1.38; 95% confidence interval [CI], 1.18-1.63; median OS for elderly patients, 17.8 months; OS for younger patients, 23.5 months) and worse PFS (HR, 1.19; 95% CI, 1.03-1.39; median PFS for elderly patients, 10.6 months; median PFS for younger patients, 12.3 months). Elderly patients, in comparison with younger patients, experienced more grade 5 adverse events (8% vs 3%; P < .01) and more grade 3 or higher dyspnea (11% vs 7%; P = .03) but less grade 3 or higher esophagitis/dysphagia (14% vs 19%; P = .04) and less grade 3 or higher vomiting (11% vs 17%; P = .01). Elderly patients completed treatment less often, discontinued treatment because of adverse events and patient refusal more frequently, and died during treatment more frequently. CONCLUSIONS: Elderly patients with LS-SCLC have worse PFS and OS and more difficulty in tolerating therapy. Future trials should incorporate assessments of elderly patients, novel monitoring of adverse events, and more tolerable radiation and systemic therapies.

Differential Gene Expression in Erlotinib-Treated Fibroblasts.

BACKGROUND: Therapies targeting the epidermal growth factor receptor (EGFR) result in a painful rash, the most common and debilitating toxicity among patients with non-small cell lung cancer (NSCLC) who take EGFR tyrosine kinase inhibitor (TKI) therapy; however, predicting the development and the severity of the rash is difficult. OBJECTIVE: The aim of this study was to examine how erlotinib-an EGFR TKI that NSCLC patients take to stop or slow tumor growth-altered the transcriptome of dermal fibroblasts. METHODS: Dermal fibroblasts (ATCC PCS-201-012) were seeded in cell culture flasks, grown under standard conditions, and transferred to cell culture dishes. Cells were treated once daily for 3 days with erlotinib 100 nM (n = 5), erlotinib 1 µM (n = 5), vehicle 1 µM (dimethyl sulfoxide) (n = 5), or no treatment (n = 5). Total RNA was extracted using a standard TRIzol method and hybridized using Affymetrix GeneChip Human Genome U133 Plus 2.0 arrays. Raw intensities generated from the arrays were normalized using a Robust Multiarray Average method and analyzed using analysis of variance in Limma R software. Differentially expressed genes were analyzed using Ingenuity Pathway Analysis to identify canonical or noncanonical signaling pathways enriched in this dataset. RESULTS: We selected genes for investigation based on their potential role in wound healing (AQP3), rash development (CCL2), fibroblast activation (PALLD), cancer and cancer progression (GDF-15, SLC7A11, MMP12, and DIRAS3), and cell cycle control (CDC6). We were able to validate four of these genes by both Western blot analysis and quantitative polymerase chain reaction (MMP12, CCL2, CDC6, and SLC7A11). DISCUSSION: If found predictive of rash in future studies using patient samples, our findings may help to identify those at risk for severe rash so that (a) the dose of EGFR TKI therapy may be adjusted; (b) additional treatments for the rash can be developed; and/or (c) precise, patient-centered interventions can be developed so that patients with cancer can better self-manage their rash and adhere to EGFR TKI treatment.

Neutrophil-Lymphocyte Ratio Is a Prognostic Marker in Patients with Locally Advanced (Stage IIIA and IIIB) Non-Small Cell Lung Cancer Treated with Combined Modality Therapy.

BACKGROUND: Neutrophil-lymphocyte ratio (NLR) is a measure of systemic inflammation that appears prognostic in localized and advanced non-small cell lung cancer (NSCLC). Increased systemic inflammation portends a poorer prognosis in cancer patients. We hypothesized that low NLR at diagnosis is associated with improved overall survival (OS) in locally advanced NSCLC (LANSCLC) patients. PATIENTS AND METHODS: Records from 276 patients with stage IIIA and IIIB NSCLC treated with definitive chemoradiation with or without surgery between 2000 and 2010 with adequate data were retrospectively reviewed. Baseline demographic data and pretreatment peripheral blood absolute neutrophil and lymphocyte counts were collected. Patients were grouped into quartiles based on NLR. OS was estimated using the Kaplan-Meier method. The log-rank test was used to compare mortality between groups. A linear test-for-trend was used for the NLR quartile groups. The Cox proportional hazards model was used for multivariable analysis. RESULTS: The NLR was prognostic for OS (p < .0001). Median survival in months (95% confidence interval) for the first, second, third, and fourth quartile groups of the population distribution of NLR were 27 (19-36), 28 (22-34), 22 (12-31), and 10 (8-12), respectively. NLR remained prognostic for OS after adjusting for race, sex, stage, performance status, and chemoradiotherapy approach (p = .004). CONCLUSION: To our knowledge, our series is the largest to demonstrate that baseline NLR is a significant prognostic indicator in LANSCLC patients who received definitive chemoradiation with or without surgery. As an indicator of inflammatory response, it should be explored as a potential predictive marker in the context of immunotherapy and radiation therapy. IMPLICATIONS FOR PRACTICE: Neutrophil-lymphocyte ratio measured at the time of diagnosis was associated with improved overall survival in 276 patients with stage IIIA and IIIB non-small cell lung cancer (NSCLC) treated with definitive chemoradiation with or without surgery. To our knowledge, our series is the largest to demonstrate that baseline neutrophil-lymphocyte ratio is a significant prognostic indicator in locally advanced NSCLC patients who received definitive chemoradiation with or without surgery. Neutrophil-lymphocyte ratio is an inexpensive biomarker that may be easily utilized by clinicians at the time of locally advanced NSCLC diagnosis to help predict life expectancy.

Receptor tyrosine kinase EphA5 is a functional molecular target in human lung cancer.

Lung cancer is often refractory to radiotherapy, but molecular mechanisms of tumor resistance remain poorly defined. Here we show that the receptor tyrosine kinase EphA5 is specifically overexpressed in lung cancer and is involved in regulating cellular responses to genotoxic insult. In the absence of EphA5, lung cancer cells displayed a defective G1/S cell cycle checkpoint, were unable to resolve DNA damage, and became radiosensitive. Upon irradiation, EphA5 was transported into the nucleus where it interacted with activated ATM (ataxia-telangiectasia mutated) at sites of DNA repair. Finally, we demonstrate that a new monoclonal antibody against human EphA5 sensitized lung cancer cells and human lung cancer xenografts to radiotherapy and significantly prolonged survival, thus suggesting the likelihood of translational applications.

Synthesis, anticancer activity, and SAR analyses of compounds containing the 5:7-fused 4,6,8-triaminoimidazo[4,5-e][1,3]diazepine ring system.

Described herein are our limited structure-activity relationship (SAR) studies on a 5:7-fused heterocycle (1), containing the 4,6,8-triaminoimidazo[4,5-e][1,3]diazepine ring system, whose synthesis and potent broad-spectrum anticancer activity we reported a few years ago. Our SAR efforts in this study are mainly focused on judicial attachment of substituents at N-1 and N(6)-positions of the heterocyclic ring. Our results suggest that there is some subtle correlation between the substituents attached at the N-1 position and those attached at the N(6)-position of the heterocycle. It is likely that there is a common hydrophobic binding pocket on the target protein that is occupied by the substituents attached at the N-1 and N(6)-positions of the heterocyclic ligand. This pocket appears to be large enough to hold either a C-18 alkyl chain of N(6) and no attachment at N-1, or a combined C-10 at N(6) and a CH2Ph at N-1. Any alkyl chain shorter or longer than C-10 at N(6) with a CH2Ph attached at N-1, would result in decrease of biological activity.

A phase I dose escalation trial of MAGE-A3- and HPV16-specific peptide immunomodulatory vaccines in patients with recurrent/metastatic (RM) squamous cell carcinoma of the head and neck (SCCHN).

BACKGROUND: We conducted a phase I dose escalation study to evaluate the safety and immunologic response to peptide immunomodulatory vaccines GL-0810 (HPV16) and GL-0817 (MAGE-A3) in HPV16 and MAGE-A3-positive RM-SCCHN patients, respectively. METHODS: Three dose levels (500, 1,000, and 1,500 µg) of GL-0810 or GL-0817 with adjuvants Montanide (1.2 ml) and GM-CSF (100 µg/m2) were administered subcutaneously q2 weeks for a total of four vaccinations in HPV16 and MAGE-A3-positive RM-SCCHN patients, respectively. RESULTS: Nine and seven patients were enrolled in the HPV16 and MAGE-A3 cohorts, respectively. No dose-limiting toxicities were observed, and toxicity was predominantly local and grade 1 (erythema, pain, and itching at the injection site). In those patients who received all four vaccinations, 80 % (4/5) of the HPV16 cohort and 67 % (4/6) of the MAGE-A3 cohort developed antigen-specific T cell and antibody responses to the vaccine. Significant concordance between T cell and antibody responses was observed for both groups. No clear dose-response correlation was seen. All patients progressed by RECIST at first repeat imaging, except for one patient in the MAGE-A3 500 µg cohort who had stable disease for 10.5 months. The median PFS and OS for the MAGE-A3 cohorts were 79 and 183 days, respectively, and for the HPV16 cohort 80 and 196 days, respectively. CONCLUSIONS: GL-0810 and GL-0817 were well tolerated in patients with RM-SCCHN with T cell and antibody responses observed in the majority of patients who received all four vaccinations.

Validation of disability status, a claims-based measure of functional status for cancer treatment and outcomes studies.

BACKGROUND: In prior research, we developed a claims-based prediction model for poor patient disability status (DS), a proxy measure for performance status, commonly used by oncologists to summarize patient functional status and assess ability of a patient to tolerate aggressive treatment. In this study, we implemented and validated the DS measure in 4 cohorts of cancer patients: early and advanced non-small cell lung cancers (NSCLC), stage IV estrogen receptor-negative (ER-) breast cancer, and myelodysplastic syndromes (MDS). DATA AND METHODS: SEER-Medicare data (1999-2007) for the 4 cohorts of cancer patients. Bivariate and multivariate logistic regression tested the association of the DS measure with designated cancer-directed treatments: early NSCLC (surgery), advanced NSCLC (chemotherapy), stage IV ER- breast cancer (chemotherapy), and MDS (erythropoiesis-stimulating agents). Treatment model fit was compared across model iterations. RESULTS: In both unadjusted and adjusted results, predicted poor DS was strongly associated with a lower likelihood of cancer treatment receipt in all 4 cohorts [early NSCLC (N=20,280), advanced NSCLC (N=31,341), stage IV ER- breast cancer (N=1519), and MDS (N=6058)] independent of other patient, contextual, and disease characteristics, as well as the Charlson Comorbidity Index. Inclusion of the DS measure into models already controlling for other variables did not significantly improve model fit across the cohorts. CONCLUSIONS: The DS measure is a significant independent predictor of cancer-directed treatment. Small changes in model fit associated with both DS and the Charlson Comorbidity Index suggest that unobserved factors continue to play a role in determining cancer treatments.

The impact of an oncology urgent care center on health-care utilization.

INTRODUCTION: Studies suggest that many emergency department (ED) visits and hospitalizations for patients with cancer may be preventable. The Centers for Medicare & Medicaid Services has implemented changes to the hospital outpatient reporting program that targets acute care in-treatment patients for preventable conditions. Oncology urgent care centers aim to streamline patient care. Our cancer center developed an urgent care center called the direct referral unit in 2011. METHODS: We abstracted visits to our adjacent hospital ED and direct referral unit from January 2014 to June 2018. Patient demographics, cancer and visit diagnoses, visit charges, and 30-day therapy utilization were assessed. RESULTS: An analysis of 13 114 visits demonstrated that increased direct referral unit utilization was associated with decreased monthly ED visits (P < .001). Common direct referral unit visit diagnoses were dehydration, nausea and vomiting, abdominal pain, and fever. Patients receiving active cancer treatment more frequently presented to the direct referral unit (P < .001). The average charges were $2221 for the direct referral unit and $10 261 for the ED. CONCLUSION: The association of decreased ED visits with increased direct referral unit utilization demonstrates the potential for urgent care centers to reduce acute care visits. Many patients presented to our direct referral unit with preventable conditions, and these visits were associated with considerable cost savings, supporting its use as a cost-effective method to reduce acute care costs.

American Radium Society Appropriate Use Criteria for Unresectable Locally Advanced Non-Small Cell Lung Cancer.

Importance: The treatment of locally advanced non-small cell lung cancer (LA-NSCLC) has been informed by more than 5 decades of clinical trials and other relevant literature. However, controversies remain regarding the application of various radiation and systemic therapies in commonly encountered clinical scenarios. Objective: To develop case-referenced consensus and evidence-based guidelines to inform clinical practice in unresectable LA-NSCLC. Evidence Review: The American Radium Society (ARS) Appropriate Use Criteria (AUC) Thoracic Committee guideline is an evidence-based consensus document assessing various clinical scenarios associated with LA-NSCLC. A systematic review of the literature with evidence ratings was conducted to inform the appropriateness of treatment recommendations by the ARS AUC Thoracic Committee for the management of unresectable LA-NSCLC. Findings: Treatment appropriateness of a variety of LA-NSCLC scenarios was assessed by a consensus-based modified Delphi approach using a range of 3 points to 9 points to denote consensus agreement. Committee recommendations were vetted by the ARS AUC Executive Committee and a 2-week public comment period before official approval and adoption. Standard of care management of good prognosis LA-NSCLC consists of combined concurrent radical (60-70 Gy) platinum-based chemoradiation followed by consolidation durvalumab immunotherapy (for patients without progression). Planning and delivery of locally advanced lung cancer radiotherapy usually should be performed using intensity-modulated radiotherapy techniques. A variety of palliative and radical fractionation schedules are available to treat patients with poor performance and/or pulmonary status. The salvage therapy for a local recurrence after successful primary management is complex and likely requires both multidisciplinary input and shared decision-making with the patient. Conclusions and Relevance: Evidence-based guidance on the management of various unresectable LA-NSCLC scenarios is provided by the ARS AUC to optimize multidisciplinary patient care for this challenging patient population.

Structure-based drug design and potent anti-cancer activity of tricyclic 5:7:5-fused diimidazo[4,5-d:4',5'-f][1,3]diazepines.

Judicial structural modifications of 5:7-fused ring-expanded nucleosides (RENs), based on molecular modeling studies with one of its known targets, human RNA helicase (hDDX3), led to the lead, novel, 5:7-5-fused tricyclic heterocycle (1). The latter exhibited promising broad-spectrum in vitro anti-cancer activity against a number of cancer cell lines screened. This paper describes our systematic, albeit limited, structure-activity relationship (SAR) studies on this lead compound, which produced a number of analogs with broad-spectrum in vitro anti-cancer activities against lung, breast, prostate, and ovarian cancer cell lines, in particular compounds 15i, 15j, 15m and 15n which showed IC(50) values in submicromolar to micromolar range, and are worthy of further explorations. The SAR data also enabled us to propose a tentative SAR model for future SAR efforts for ultimate realization of optimally active and minimally toxic anti-cancer compounds based on the diimidazo[4,5-d:4',5'-f][1,3]diazepine structural skeleton of the lead compound 1.

Development of a Multilevel Model to Identify Patients at Risk for Delay in Starting Cancer Treatment.

Importance: Delays in starting cancer treatment disproportionately affect vulnerable populations and can influence patients' experience and outcomes. Machine learning algorithms incorporating electronic health record (EHR) data and neighborhood-level social determinants of health (SDOH) measures may identify at-risk patients. Objective: To develop and validate a machine learning model for estimating the probability of a treatment delay using multilevel data sources. Design, Setting, and Participants: This cohort study evaluated 4 different machine learning approaches for estimating the likelihood of a treatment delay greater than 60 days (group least absolute shrinkage and selection operator [LASSO], bayesian additive regression tree, gradient boosting, and random forest). Criteria for selecting between approaches were discrimination, calibration, and interpretability/simplicity. The multilevel data set included clinical, demographic, and neighborhood-level census data derived from the EHR, cancer registry, and American Community Survey. Patients with invasive breast, lung, colorectal, bladder, or kidney cancer diagnosed from 2013 to 2019 and treated at a comprehensive cancer center were included. Data analysis was performed from January 2022 to June 2023. Exposures: Variables included demographics, cancer characteristics, comorbidities, laboratory values, imaging orders, and neighborhood variables. Main Outcomes and Measures: The outcome estimated by machine learning models was likelihood of a delay greater than 60 days between cancer diagnosis and treatment initiation. The primary metric used to evaluate model performance was area under the receiver operating characteristic curve (AUC-ROC). Results: A total of 6409 patients were included (mean [SD] age, 62.8 [12.5] years; 4321 [67.4%] female; 2576 [40.2%] with breast cancer, 1738 [27.1%] with lung cancer, and 1059 [16.5%] with kidney cancer). A total of 1621 (25.3%) experienced a delay greater than 60 days. The selected group LASSO model had an AUC-ROC of 0.713 (95% CI, 0.679-0.745). Lower likelihood of delay was seen with diagnosis at the treating institution; first malignant neoplasm; Asian or Pacific Islander or White race; private insurance; and lacking comorbidities. Greater likelihood of delay was seen at the extremes of neighborhood deprivation. Model performance (AUC-ROC) was lower in Black patients, patients with race and ethnicity other than non-Hispanic White, and those living in the most disadvantaged neighborhoods. Though the model selected neighborhood SDOH variables as contributing variables, performance was similar when fit with and without these variables. Conclusions and Relevance: In this cohort study, a machine learning model incorporating EHR and SDOH data was able to estimate the likelihood of delays in starting cancer therapy. Future work should focus on additional ways to incorporate SDOH data to improve model performance, particularly in vulnerable populations.