Trilaciclib use in extensive-stage small cell lung cancer (ES-SCLC): are clinical benefits seen in the real-world setting?

BACKGROUND: Trilaciclib, in comparison to placebo plus carboplatin, etoposide, ± atezolizumab (PEA), has shown significant reductions in incidence of severe neutropenia (SN) among patients with extensive-stage small cell lung cancer (ES-SCLC). Despite these findings, real-world utility remains limited. METHODS: A single-center quasi-experimental study compared trilaciclib + PEA (PEAT) versus PEA in ES-SCLC patients. The study period ranged from April 1, 2021 to July 31, 2022, for the PEAT recipients and February 1, 2020, to February 28, 2021, for PEA recipients. The primary endpoint evaluated was incidence of SN after cycle 1 and during the treatment period. Secondary endpoints included measures related to myelopreservation and patient outcomes. RESULTS: Among 34 PEAT and 44 PEA patients, baseline characteristics were similar, except for a higher median age (69 vs 64 years) and more males (64.7% vs 38.6%) in the PEAT cohort. The PEAT cohort exhibited a lower SN rate (3%) versus the PEA cohort (18%), with statistical significance demonstrated on multivariate analysis (p = 0.015). Additionally, the PEAT cohort also demonstrated significant reductions in red blood cell transfusion requirements (3% vs 23%; p = 0.02), grade 3-4 anemia (6% vs 25%; p = 0.03), and grade 3-4 thrombocytopenia (0% vs 11%, p = 0.045). CONCLUSION: Trilaciclib, in combination with PEA, demonstrated an improvement in the safety profile without compromising survival outcomes in ES-SCLC patients. These findings underscore the potential benefits of incorporating trilaciclib in real-world clinical settings for enhanced patient care.

Collagenous Colitis Is Associated With HLA Signature and Shares Genetic Risks With Other Immune-Mediated Diseases.

BACKGROUND & AIMS: Collagenous colitis (CC) is an inflammatory bowel disorder with unknown etiopathogenesis involving HLA-related immune-mediated responses and environmental and genetic risk factors. We carried out an array-based genetic association study in a cohort of patients with CC and investigated the common genetic basis between CC and Crohn's disease (CD), ulcerative colitis (UC), and celiac disease. METHODS: DNA from 804 CC formalin-fixed, paraffin-embedded tissue samples was genotyped with Illumina Immunochip. Matching genotype data on control samples and CD, UC, and celiac disease cases were provided by the respective consortia. A discovery association study followed by meta-analysis with an independent cohort, polygenic risk score calculation, and cross-phenotype analyses were performed. Enrichment of regulatory expression quantitative trait loci among the CC variants was assessed in hemopoietic and intestinal cells. RESULTS: Three HLA alleles (HLA-B∗08:01, HLA-DRB1∗03:01, and HLA-DQB1∗02:01), related to the ancestral haplotype 8.1, were significantly associated with increased CC risk. We also identified an independent protective effect of HLA-DRB1∗04:01 on CC risk. Polygenic risk score quantifying the risk across multiple susceptibility loci was strongly associated with CC risk. An enrichment of expression quantitative trait loci was detected among the CC-susceptibility variants in various cell types. The cross-phenotype analysis identified a complex pattern of polygenic pleiotropy between CC and other immune-mediated diseases. CONCLUSIONS: In this largest genetic study of CC to date with histologically confirmed diagnosis, we strongly implicated the HLA locus and proposed potential non-HLA mechanisms in disease pathogenesis. We also detected a shared genetic risk between CC, celiac disease, CD, and UC, which supports clinical observations of comorbidity.

Cardiovascular Events Associated with Chimeric Antigen Receptor T Cell Therapy: Cross-Sectional FDA Adverse Events Reporting System Analysis.

Chimeric antigen receptor (CAR) T cell therapy is approved in the United States for the treatment of acute lymphocytic leukemia and aggressive B cell lymphomas. Multiple cardiovascular adverse events (CVEs) associated with CAR-Ts have been observed in small studies, but no large-scale studies exist. Leveraging the Food and Drug Administration (FDA) Adverse Events Reporting System (FAERS), we identified all reported adverse events (AEs) associated with CAR-T therapy (tisagenlecleucel and axicabtagene ciloleucel) from 2017 to 2019. Reports with missing age and sex were excluded. CVEs were classified into arrhythmias, heart failure (HF), myocardial infarction (MI), and other CVEs. Logistic regression and hierarchical clustering were used to identify factors associated with CVEs. A total of 996 reported AEs were observed (39.1% associated with tisagenlecleucel and 60% with axicabtagene ciloleucel). Of all patients experiencing AEs, the median age was 54 (interquartile range, 21 to 65) years; 38.9% were females. In total, 19.7% (196) of all AEs reported to the FDA were CVEs. The most common CVEs were arrhythmia (77.6%), followed by HF (14.3%) and MI (0.5%). In adjusted analysis a positive association was observed between those presenting with CVE with neurotoxicity (odds ratio, 1.76; 95% confidence interval, 1.20 to 2.60; P = .004). Additionally, when both CVE and cytokine release syndrome (CRS) are present, neurotoxicity is the most common noncardiac AE, which clusters with them (Jaccard similarity: 73.1). The mortality rate was 21.1% overall but 30.1% for those reporting CVEs. In FAERS, reported CVEs with CAR-T are associated with high reported mortality. The development of either CRS or neurotoxicity should prompt vigilance for cardiovascular events.

Patients' Preferences for Adjuvant Osimertinib in Non-Small-Cell Lung Cancer After Complete Surgical Resection: What Makes It Worth It to Patients?

BACKGROUND: The ADAURA trial confirmed adjuvant Osimertinib's efficacy in EGFR-mutated Non-small-cell lung cancer (NSCLC), yet the limited mature overall survival (OS) data at approval poses a challenge. This study explores patient preferences in the absence of complete OS information, hypothesizing that disease-free survival (DFS) benefit alone may influence adjuvant Osimertinib pursuit. METHODS: At Roswell Park Comprehensive Cancer Center (Jan-Dec 2021), patients assessed for adjuvant therapy received a survey probing OS and DFS preferences. Scenarios were (a) minimum OS justifying Osimertinib, (b) minimum DFS improvement justifying 3-years of adjuvant Osimertinib, (c) minimum 5-year DFS percent change, and (d) minimum OS justifying copay changes. Results were analyzed. RESULTS: Of 524 NSCLC patients, 51 participated. Scenario 1 saw 56% requiring a 12-month OS benefit for Osimertinib justification. In scenario 2, 72% deemed a 12-month DFS benefit sufficient. Scenario 3 revealed 31% opting out despite a 10% OS increase. Scenario 4 showed varied willingness to pay, with 33% unwilling to any shoulder copayment even with a 10-year OS benefit. CONCLUSION: This study explores patient preferences without complete OS data, revealing diverse thresholds. Factors include employment, education, and willingness to pay. Findings underscore shared decision-making importance. Limitations include sample size, potential biases, and regional focus; larger cohorts are needed for validation.

Under-Representation and Under-Reporting of Minoritized Racial and Ethnic Groups in Clinical Trials on Immune Checkpoint Inhibitors.

PURPOSE: Minoritized racial/ethnic groups are historically under-represented in cancer clinical trials, which may be exacerbated in recent trials on immune checkpoint inhibitors (ICIs). We examined the representation and reporting of the racial/ethnic composition of participants in clinical trials on ICIs. METHODS: We examined English full-text trials on ICIs published from 2007 to 2022. Information on trial characteristics and racial/ethnic composition of participants was extracted from published papers or ClinicalTrials.gov. Differences in participation by publication year, ICI agent, and cancer site were analyzed. Enrollment-incidence ratio (EIR) was calculated to compare the proportion of minoritized racial/ethnic group patients in US-based trials against age-adjusted cancer incidence data available for the US population. An EIR > 1 signified over-representation, whereas an EIR <1 signified under-representation. RESULTS: Of the 471 trials examined, racial composition was unreported in 146 (31%), whereas Hispanic/Latinx ethnicity was unreported in 278 (59%). Only 30 (6%) trials reported race/ethnicity-specific results. In US-only trials (n = 174), White patients were over-represented (EIR, 1.20 [95% CI, 1.17 to 1.22]), whereas Hispanic/Latinx patients were the most under-represented (EIR, 0.35 [95% CI, 0.24 to 0.48]), followed by Black/African American patients (EIR, 0.66 [95% CI, 0.54 to 0.79]). Subgroup analyses consistently indicated over-representation of White patients across publication years (EIR, 1.19-1.24), ICI classes (EIR, 1.16-1.23), and cancer sites (EIR, 1.11-1.31), whereas Hispanic/Latinx patients were consistently under-represented. An upward trend of trial representation and reporting was observed for all minoritized racial/ethnic groups over time (trend P values ≤.05). CONCLUSION: Disparities in the representation and reporting of minoritized racial/ethnic groups persist in recent trials on ICIs, necessitating collaborative efforts for improved diversity and equitable cancer treatment access.

Advancing the care of individuals with cancer through innovation & technology: Proceedings from the cardiology oncology innovation summit 2020 and 2021.

As cancer therapies increase in effectiveness and patients' life expectancies improve, balancing oncologic efficacy while reducing acute and long-term cardiovascular toxicities has become of paramount importance. To address this pressing need, the Cardiology Oncology Innovation Network (COIN) was formed to bring together domain experts with the overarching goal of collaboratively investigating, applying, and educating widely on various forms of innovation to improve the quality of life and cardiovascular healthcare of patients undergoing and surviving cancer therapies. The COIN mission pillars of innovation, collaboration, and education have been implemented with cross-collaboration among academic institutions, private and public establishments, and industry and technology companies. In this report, we summarize proceedings from the first two annual COIN summits (inaugural in 2020 and subsequent in 2021) including educational sessions on technological innovations for establishing best practices and aligning resources. Herein, we highlight emerging areas for innovation and defining unmet needs to further improve the outcome for cancer patients and survivors of all ages. Additionally, we provide actionable suggestions for advancing innovation, collaboration, and education in cardio-oncology in the digital era.

Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers.

PURPOSE: The tumor-associated vasculature (TAV) differs from healthy blood vessels by its convolutedness, leakiness, and chaotic architecture, and these attributes facilitate the creation of a treatment-resistant tumor microenvironment. Measurable differences in these attributes might also help stratify patients by likely benefit of systemic therapy (e.g., chemotherapy). In this work, we present a new category of computational image-based biomarkers called quantitative tumor-associated vasculature (QuanTAV) features, and demonstrate their ability to predict response and survival across multiple cancer types, imaging modalities, and treatment regimens involving chemotherapy. EXPERIMENTAL DESIGN: We isolated tumor vasculature and extracted mathematical measurements of twistedness and organization from routine pretreatment radiology (CT or contrast-enhanced MRI) of a total of 558 patients, who received one of four first-line chemotherapy-based therapeutic intervention strategies for breast (n = 371) or non-small cell lung cancer (NSCLC, n = 187). RESULTS: Across four chemotherapy-based treatment strategies, classifiers of QuanTAV measurements significantly (P < 0.05) predicted response in held out testing cohorts alone (AUC = 0.63-0.71) and increased AUC by 0.06-0.12 when added to models of significant clinical variables alone. Similarly, we derived QuanTAV risk scores that were prognostic of recurrence-free survival in treatment cohorts who received surgery following chemotherapy for breast cancer [P = 0.0022; HR = 1.25; 95% confidence interval (CI), 1.08-1.44; concordance index (C-index) = 0.66] and chemoradiation for NSCLC (P = 0.039; HR = 1.28; 95% CI, 1.01-1.62; C-index = 0.66). From vessel-based risk scores, we further derived categorical QuanTAV high/low risk groups that were independently prognostic among all treatment groups, including patients with NSCLC who received chemotherapy only (P = 0.034; HR = 2.29; 95% CI, 1.07-4.94; C-index = 0.62). QuanTAV response and risk scores were independent of clinicopathologic risk factors and matched or exceeded models of clinical variables including posttreatment response. CONCLUSIONS: Across these domains, we observed an association of vascular morphology on CT and MRI-as captured by metrics of vessel curvature, torsion, and organizational heterogeneity-and treatment outcome. Our findings suggest the potential of shape and structure of the TAV in developing prognostic and predictive biomarkers for multiple cancers and different treatment strategies.

MET alterations and their impact on the future of non-small cell lung cancer (NSCLC) targeted therapies.

Introduction: The MET gene and its pathway normally plays a crucial role in cell homeostasis, motility, and apoptosis. However, when the MET gene is altered, there is an imbalance toward cell proliferation and invasion commonly seen in numerous different types of cancers. The heterogeneous group of MET alterations that includes MET amplification, MET exon 14 skipping mutation, and MET fusions has been difficult to diagnose and treat. Currently, treatments are focused on tyrosine kinase inhibitors but now there is emerging data on novel MET-targeted therapies including monoclonal antibodies and antibody-drug conjugates that have emerged.Areas covered: We introduce new emerging data on MET alterations in non-small cell lung cancer (NSCLC) that has contributed to advances in MET targeted therapeutics. We offer our perspective and examine new information on the mechanisms of the MET alterations in this review.Expert opinion: Given the trends currently involving the targeting of MET altered malignancies, there will most likely be a continued rapid expansion of testing, novel tyrosine kinase inhibitors and potent antibody approaches. Combination treatments will be necessary to optimize management of advanced and early disease.

Novel Non-Invasive Radiomic Signature on CT Scans Predicts Response to Platinum-Based Chemotherapy and Is Prognostic of Overall Survival in Small Cell Lung Cancer.

BACKGROUND: Small cell lung cancer (SCLC) is an aggressive malignancy characterized by initial chemosensitivity followed by resistance and rapid progression. Presently, there are no predictive biomarkers that can accurately guide the use of systemic therapy in SCLC patients. This study explores the role of radiomic features from both within and around the tumor lesion on pretreatment CT scans to a) prognosticate overall survival (OS) and b) predict response to chemotherapy. METHODS: One hundred fifty-three SCLC patients who had received chemotherapy were included. Lung tumors were contoured by an expert reader. The patients were divided randomly into approximately equally sized training (Str = 77) and test sets (Ste = 76). Textural descriptors were extracted from the nodule (intratumoral) and parenchymal regions surrounding the nodule (peritumoral). The clinical endpoints of this study were OS, progression-free survival (PFS), and best objective response to chemotherapy. Patients with complete or partial response were defined as "responders," and those with stable or progression of disease were defined as "non-responders." The radiomic risk score (RRS) was generated by using the least absolute shrinkage and selection operator (LASSO) with the Cox regression model. Patients were classified into the high-risk or low-risk groups based on the median of RRS. Association of the radiomic signature with OS was evaluated on Str and then tested on Ste. The features identified by LASSO were then used to train a linear discriminant analysis (LDA) classifier (MRad) to predict response to chemotherapy. A prognostic nomogram (NRad+Clin) was also developed on Str by combining clinical and prognostic radiomic features and validated on Ste. The Kaplan-Meier survival analysis and log-rank statistical tests were performed to assess the discriminative ability of the features. The discrimination performance of the NRad+Clin was assessed by Harrell's C-index. To estimate the clinical utility of the nomogram, decision curve analysis (DCA) was performed by calculating the net benefits for a range of threshold probabilities in predicting which high-risk patients should receive more aggressive treatment as compared with the low-risk patients. RESULTS: A univariable Cox regression analysis indicated that RRS was significantly associated with OS in Str (HR: 1.53; 95% CI, [1.1-2.2; p = 0.021]; C-index = 0.72) and Ste (HR: 1.4, [1.1-1.82], p = 0.0127; C-index = 0.69). The RRS was also significantly associated with PFS in Str (HR: 1.89, [1.4-4.61], p = 0.047; C-index = 0.7) and Ste (HR: 1.641, [1.1-2.77], p = 0.04; C-index = 0.67). MRad was able to predict response to chemotherapy with an area under the receiver operating characteristic curve (AUC) of 0.76 ± 0.03 within Str and 0.72 within Ste. Predictors, including the RRS, gender, age, stage, and smoking status, were used in the prognostic nomogram. The discrimination ability of the NRad+Clin model on Str and Ste was C-index [95% CI]: 0.68 [0.66-0.71] and 0.67 [0.63-0.69], respectively. DCA indicated that the NRad+Clin model was clinically useful. CONCLUSIONS: Radiomic features extracted within and around the lung tumor on CT images were both prognostic of OS and predictive of response to chemotherapy in SCLC patients.