Late-stage Non-small Cell Lung Cancer Research Articles

Longitudinal tracking of circulating rare events in the liquid biopsy of stage III–IV non-small cell lung cancer patients

In the United States, lung cancer is the second most common type of cancer with non-small cell lung cancer (NSCLC) encompassing around 85% of total lung cancer cases. Late-stage patients with metastatic disease have worsening prognosis, highlighting the importance of longitudinal disease monitoring. Liquid biopsy (LBx) represents a way for physicians to non-invasively track tumor analytes, such as circulating tumor cells (CTCs), and understand tumor progression in real-time through analyzing longitudinal blood samples. CTCs have been shown to be effective predictive biomarkers in measuring treatment efficacy and survival outcomes. We used the third-generation High-Definition Single Cell Assay (HDSCA3.0) workflow to analyze circulating rare events longitudinally during treatment in a cohort of 10 late-stage NSCLC patients, identifying rare events including circulating cancer cells (i.e., CTCs), and oncosomes. Here, we show (1) that there is a cancer specific LBx profile, (2) there is considerable heterogeneity of rare cells and oncosomes, and (3) that LBx data elements correlated with patient survival outcomes. Additional studies are warranted to understand the biological significance of the rare events detected, and the clinical potential of the LBx to monitor and predict response to treatment in NSCLC patient care.

Therapeutic efficacy of rare earth carbonate with chemoradiotherapy in late-stage non-small cell lung cancer: a cohort prospective study.

To compare the therapeutic effects and adverse reactions of sterilizing rare earth carbonate combined with concurrent chemoradiotherapy and simple concurrent chemoradiotherapy in the treatment of late-stage non-small cell lung cancer (NSCLC), and to analyze the reasons for the differences. A total of 817 patients with pathologically diagnosed late-stage NSCLC from June 1, 2021 to December 30, 2022, in the affiliated hospital of Kunming University of Science and Technology, were selected. They were randomly divided into a control group of 394 people and an experimental group of 423 people. The control group was given concurrent chemoradiotherapy (cisplatin + etoposide), while the experimental group simultaneously took a low dose of sterilized rare earth carbonate (0.05mg/Kg). The χ² test and Fisher's test were used to compare the clinical pathological features, objective response rate (ORR), ECOG score, and adverse reactions of the two groups of patients, while survival analysis was used to compare the progression-free survival (PFS) of the two groups. Cox regression analysis was used to test factors related to prognosis. The differences in clinical pathological features between the two groups of patients were not statistically significant, with all P>0.05. The ORR of the control group was 45.18% (178/394), and the experimental group was 89.83% (380/423), with a statistically significant difference (P=0.001). After treatment, the ECOG score of the experimental group was lower than that of the control group, P<0.001. The adverse reaction grading of patients in both groups was below level 3 after treatment, and no treatment-related fatalities occurred. The risk of pulmonary infection and bone marrow suppression in the experimental group was lower than that in the control group. In late-stage NSCLC patients, compared with simple concurrent chemoradiotherapy, the combination of concurrent chemoradiotherapy and sterilizing rare earth carbonate can significantly improve the short-term therapeutic effect and prognosis of patients, with good safety.

Phenotyping EMT and MET cellular states in lung cancer patient liquid biopsies at a personalized level using mass cytometry

Malignant pleural effusions (MPEs) can be utilized as liquid biopsy for phenotyping malignant cells and for precision immunotherapy, yet MPEs are inadequately studied at the single-cell proteomic level. Here we leverage mass cytometry to interrogate immune and epithelial cellular profiles of primary tumors and pleural effusions (PEs) from early and late-stage non-small cell lung cancer (NSCLC) patients, with the goal of assessing epithelial-mesenchymal transition (EMT) and mesenchymal-epithelial transition (MET) states in patient specimens. By using the EMT–MET reference map PHENOSTAMP, we observe a variety of EMT states in cytokeratin positive (CK+) cells, and report for the first time MET-enriched CK+ cells in MPEs. We show that these states may be relevant to disease stage and therapy response. Furthermore, we found that the fraction of CD33+ myeloid cells in PEs was positively correlated to the fraction of CK+ cells. Longitudinal analysis of MPEs drawn 2 months apart from a patient undergoing therapy, revealed that CK+ cells acquired heterogeneous EMT features during treatment. We present this work as a feasibility study that justifies deeper characterization of EMT and MET states in malignant cells found in PEs as a promising clinical platform to better evaluate disease progression and treatment response at a personalized level.

Abstract C028: Using novel multiomic plasma profiling from liquid biopsies to identify potential signatures for disease diagnostics in late-stage non-small cell lung cancer (NSCLC) in Trinidad and Tobago

Abstract Lung cancer is the leading cause of cancer-associated deaths in North America, with the vast majority being non-small cell lung cancer (NSCLC) with a five-year survival rate of only 24%. Non-invasive discovery of biomarkers associated with early-diagnosis of NSCLC can enable precision oncology efforts using liquid biopsy-based multiomic profiling of plasma cell-free DNA. Although tissue biopsies are currently the gold standard for tumor profiling, this method presents many limitations since these are invasive, risky, and sometimes hard to obtain as well as only giving a limited tumor profile. Blood-based, biomarker directed liquid biopsies provide a less-invasive, more robust approach to interrogate both tumor- and non-tumor-derived signals. Liquid biopsies can delineate complex tumoral genomic and proteomic profiles throughout tumor evolution and are increasingly used for cancer diagnostics that enables a precision oncology approach. We intend to examine 30 stage III-IV NSCLC pre-surgical patients and collect plasma samples. Cell-free DNA (cfDNA) will be extracted from plasma, and next-generation sequencing (NGS) performed as well as comparative traditional diagnostics. Through the analysis of tumor-specific alterations used as biomarkers, including single nucleotide variants (SNVs), insertions, deletions, copy number variations (CNVs), and methylation alterations we intend to identify tumor-derived DNA—ctDNA, among the total pool of cfDNA. Analysis of cancer genotyping for diagnostic purposes will also be compared to accuracy of traditional, imaging and tissue-based techniques. Using liquid biopsies offer opportunities to improve the surveillance of cancer patients during treatment and would supplement current diagnosis and tumor profiling strategies previously not readily available in Trinidad and Tobago. There are a vast number of advantages to use molecular biomarkers like liquid biopsies in diagnosis and tumor profiling as well as to monitor cancer patients, providing early information regarding disease evolution and treatment efficacy, and reorient treatment strategies rapidly, thereby improving clinical oncology outcomes. With the development of both experimental protocols and computational methods dedicated to liquid biopsy, the implementation of multi-omics strategies into the clinical workflow, especially in an under-performing clinical diagnostic system, will benefit the clinical management of cancers including decision-making guidance and patient outcome improvement in the underserved communities of Trinidad and Tobago. Citation Format: Samuel M. West, Nicole Ramlachan. Using novel multiomic plasma profiling from liquid biopsies to identify potential signatures for disease diagnostics in late-stage non-small cell lung cancer (NSCLC) in Trinidad and Tobago [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr C028.

Abstract A050: Enhancing immune checkpoint inhibitor efficacy by targeting neurotrophic receptor tyrosine kinase 1 signaling in immune resistant non-small cell lung cancer patients

Abstract Introduction: The FDA’s approval of immune checkpoint inhibitors (ICI) in 2015 drastically changed the survival of late-stage non-small cell lung cancer (NSCLC) patients. However, only about 30% of NSCLC patients respond to treatment, while the other 70% are immune resistant. Through an analysis of 424 NSCLC patients at Atrium Wake Forest, we have identified a loss-of-function mutation in Neurotrophic Receptor Tyrosine Kinase 1 (NTRK1) as a biomarker for response to ICI. We hypothesize that by treating wild-type immune-resistant tumors with Entrectinib, we can mimic the effect of the mutation in NTRK1 and induce immune responses. Methods: To identify biomarkers, we collected genomic sequencing data and comprehensive clinical characteristics on 424 NSCLC patients who received ICI or chemo-ICI treatment at Atrium Health Wake Forest Baptist. To determine the role of NTRK1 in vivo, we implanted LL/2-scramble (wild-type NTRK1) or LL/2-shNTRK1, which diminished NTRK1, into C57/B6 mice. The animals were injected with either IgG or Anti-PD1. To determine if we could mimic the effect of a mutation in NTRK1, C57/B6 mice were inoculated with LL2-wildtype NTRK1 and treated with either a) IgG, b) Entrectinib, c) Anti-PD-1, or d) Anti-PD-1 + Entrectinib. All in vivo experiments had tumor growth monitored, and a flow cytometry panel was performed at the endpoint to understand the immune responses. Bulk RNA-Sequencing was performed on cell cultures and tumors. Results: Mice given the LL/2-shNTRK1 responded to Anti-PD-1 treatment and had a significant increase in CD4+ stem-like effector T cells in the spleen and tumor-draining lymph nodes. Animals that were inoculated with the LL/2 cell lines and treated with Anti-PD-1 + Entrectinib also responded. Mice treated with Anti-PD-1 + Entrectinib were found to have a significant increase in CD4+ stem-like effector T cells as well. RNA-Sequencing revealed that in the mutant cell line LL/2-shNTRK1 and LL/2 tumors treated with Anti-PD-1 + Entrectinib, there was a significant upregulation of C3 production. Conclusion: Our studies demonstrate that the loss of NTRK1 function, through either genetic ablation or enzymatic inhibition combined with Anti-PD-1, provides a potent treatment for immune-resistant NSCLC tumors. Citation Format: Margaret R Smith, Yuezhu Wang, Caroline B. Dixon, Ralph D'Agostino, Yin Liu, George C. Oliver, Lance D Miller, Umit Topaloglu, Michael D Chan, Micahel Farris, Jing Su, Kathryn F Mileham, Wencheng Li, Jason M. Grayson, Thomas Lycan, Fei Xing. Enhancing immune checkpoint inhibitor efficacy by targeting neurotrophic receptor tyrosine kinase 1 signaling in immune resistant non-small cell lung cancer patients [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr A050.

CO173 Outcomes, Treatment Pattern, and Related Cost of Late-Stage Non-Small Cell Lung (NSCLC) Cancer in Taiwan

CO173 Outcomes, Treatment Pattern, and Related Cost of Late-Stage Non-Small Cell Lung (NSCLC) Cancer in Taiwan

Evaluation of the application value of seven tumor-associated autoantibodies in non-small cell lung cancer based on machine learning algorithms

Objective: Based on the diagnostic model established and validated by the machine learning algorithm, to investigate the value of seven tumor-associated autoantibodies (TAABs), namely anti-p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1 and CAGE antibodies in the diagnosis of non-small cell lung cancer (NSCLC) and to differentiate between NSCLC and benign lung nodules. Methods: This was a retrospective study of clinical cases. Model building queue: a total of 227 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from November 2018 to June 2021 were collected as the NSCLC group, and 120 cases of benign lung nodules, 122 cases of pneumonia and 120 healthy individuals were selected as the control groups. External validation queue: a total of 100 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from May 2022 to December 2022 were collected as the NSCLC group, and 36 cases of benign lung nodules, 32 cases of pneumonia and 44 healthy individuals were selected as the control groups. In addition, NSCLC was divided into early (stage 0-ⅠB) and mid-to-late (stage ⅡA-ⅢB) subgroups. The levels of 7-TAABs were detected by enzyme immunoassay, and serum concentrations of CEA and CYFRA21-1 were detected by electrochemiluminescence. Four machine learning algorithms, XGBoost, Lasso logistic regression, Naïve Bayes, and Support Vector Machine are used to establish classification models. And the best performance model was chosen based on evaluation metrics and a multi-indicator combination model was established. In addition, an online risk evaluation tool was generated to assist clinical applications. Results: Except for p53, the levels of rest six TAABs, CEA and CYFRA21-1 were significantly higher in the NSCLC group (P<0.05). Serum levels of anti-SOX2 [1.50 (0.60, 10.85) U/ml vs. 0.8 (0.20, 2.10) U/ml, Z=2.630, P<0.05] and MAGEA1 antibodies [0.20 (0.10, 0.43) U/ml vs. 0.10 (0.10, 0.20) U/ml, Z=2.289, P<0.05], CEA [3.13 (2.12, 5.64) ng/ml vs. 2.11 (1.25, 3.09) ng/ml, Z=3.970, P<0.05] and CYFRA21-1 [4.31(2.37, 7.14) ng/ml vs. 2.53(1.92, 3.48) ng/ml, Z=3.959, P<0.05] were significantly higher in patients with mid-to late-stage NSCLC than in early stages. XGBoost model was used to establish a multi-indicator combined detection model (after removing p53). 6-TAABs combined with CYFRA21-1 was the best combination model for the diagnosis of NSCLC and early NSCLC. The optimal diagnostic thresholds were 0.410, 0.701 and 0.744, and the AUC was 0.828, 0.757 and 0.741, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in model building queue, and the AUC was 0.760, 0.710 and 0.660, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in external validation queue. Conclusion: In the diagnosis of NSCLC, 6-TAABs is superior to that of traditional tumor markers CEA and CYFRA21-1, and can compensate for the shortcomings of traditional tumor markers. For the differential diagnosis of NSCLC and benign lung nodule, "6-TAABs+CYFRA21-1" is the most cost-effective combination, and plays an important role in prevention and screening for early lung cancer.

Significant changes in advanced lung cancer survival during the past decade in Hungary: impact of modern immunotherapy and the COVID-19 pandemic.

The approval of immunotherapy (I-O) for the treatment of late-stage non-small cell lung cancer (NSCLC) opened new perspectives in improving survival outcomes. However, survival data have not yet been provided from the period of the Covid-19 pandemic. The aims of our study were to assess and compare survival outcomes of patients with advanced LC receiving systemic anticancer treatment (SACT) before and after the approval of immunotherapy in Hungary, and to examine the impact of pandemic on survival outcomes using data from the Hungarian National Health Insurance Fund (NHIF) database. This retrospective, longitudinal study included patients aged ≥20 years who were diagnosed with advanced stage lung cancer (LC) (ICD-10 C34) between 1 January 2011 and 31 December 2021 and received SACT treatment without LC-related surgery. Survival rates were evaluated by year of diagnosis, sex, age, and LC histology. In total, 35,416 patients were newly diagnosed with advanced LC and received SACT during the study period (mean age at diagnosis: 62.1-66.3 years). In patients with non-squamous cell carcinoma, 3-year survival was significantly higher among those diagnosed in 2019 vs. 2011-2012 (28.7% [95% CI: 26.4%-30.9%] vs. 14.45% [95% CI: 13.21%-15.69%], respectively). In patients with squamous cell carcinoma, 3-year survival rates were 22.3% (95% CI: 19.4%-25.2%) and 13.37% (95% CI: 11.8%-15.0%) in 2019 and 2011-2012, respectively, the change was statistically significant. Compared to 2011-2012, the hazard ratio of survival change for non-squamous cell carcinoma patients was 0.91, 0.82, and 0.62 in 2015-2016, 2017-2018, and 2019, respectively (p<0.001 for all cases). In the squamous cell carcinoma group, corresponding hazard ratios were 0.93, 0.87, and 0.78, respectively (p<0.001 for all cases). Survival improvements remained significant in both patient populations during the Covid-19 pandemic (2020-2021). No significant improvements were found in the survival of patients with small cell carcinoma. Platinum-based chemotherapy was the most common first-line treatment in all diagnostic periods, however, the proportion of patients receiving first- or second-line immunotherapy significantly increased during the study period. 3-year survival rates of NSCLC almost doubled among patients with non-squamous cell carcinoma and significantly improved at squamous cell carcinoma over the past decade in Hungary. Improvements could potentially be attributable by the introduction of immunotherapy and were not offset by the Covid-19 pandemic.

Molecular testing in non-small cell lung cancer: A consensus recommendation

Introduction: Lung cancer remains an important cause of cancer-related mortality in Singapore, with a greater proportion of non-smokers diagnosed with non-small cell lung cancer (NSCLC) in the past 2 decades. The higher prevalence of targetable genomic alterations in lung cancer diagnosed in Singapore compared with countries in the West, as well as the expanding therapeutic landscape for NSCLC in the era of precision medicine, are both factors that underscore the importance of efficient and effective molecular profiling. Method: This article provides consensus recommendations for biomarker testing for early-stage to advanced NSCLC. These recommendations are made from a multidisciplinary group of lung cancer experts in Singapore with the aim of improving patient care and long-term outcomes. Results: The recommendations address the considerations in both the advanced and early-stage settings, and take into account challenges in the implementation of biomarker testing as well as the limitations of available data. Biomarker testing for both tumour tissue and liquid biopsy are discussed. Conclusion: This consensus statement discusses the approaches and challenges of integrating molecular testing into clinical practice for patients with early- to late-stage NSCLC, and provides practical recommendations for biomarker testing for NSCLC patients in Singapore.

Unequal racial distribution of immunotherapy for late-stage non-small cell lung cancer.

Immunotherapy has increased survival for non-small cell lung cancer (NSCLC), especially for those diagnosed with late-stage disease. However, it is not known if its use is equally distributed across races. We assessed immunotherapy use in 21 098 pathologically confirmed stage IV NSCLC patients according to race in the Surveillance Epidemiology, and End Results-Medicare linked dataset. Multivariable models were conducted to evaluate the independent association of receipt of immunotherapy with race and overall survival according to race. Black patients had statistically significantly lower odds of receiving immunotherapy (adjusted odds ratio = 0.60, 95% confidence interval = 0.44 to 0.80); receipt of immunotherapy was lower in Asian and Hispanic patients but not statistically significant. When immunotherapy was received, survival was similar across races. Immunotherapy for NSCLC is not used equally among races, underscoring the racial disparities that exist in access to the newest cancer treatment. Efforts should be directed toward expanding access to novel, efficacious treatments for advanced stage lung cancer.

Radiomic signature accurately predicts the risk of metastatic dissemination in late-stage non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, and the median overall survival (OS) is approximately 2-3 years among patients with stage III disease. Furthermore, it is one of the deadliest types of cancer globally due to non-specific symptoms and the lack of a biomarker for early detection. The most important decision that clinicians need to make after a lung cancer diagnosis is the selection of a treatment schedule. This decision is based on, among others factors, the risk of developing metastasis. A cohort of 115 NSCLC patients treated using chemotherapy and radiotherapy (RT) with curative intent was retrospectively collated and included patients for whom positron emission tomography/computed tomography (PET/CT) images, acquired before RT, were available. The PET/CT images were used to compute radiomic features extracted from a region of interest (ROI), the primary tumor. Radiomic and clinical features were then classified to stratify the patients into short and long time to metastasis, and regression analysis was used to predict the risk of metastasis. Classification based on binarized metastasis-free survival (MFS) was applied with moderate success. Indeed, an accuracy of 0.73 was obtained for the selection of features based on the Wilcoxon test and logistic regression model. However, the Cox regression model for metastasis risk prediction performed very well, with a concordance index (C-index) score equal to 0.84. It is possible to accurately predict the risk of metastasis in NSCLC patients based on radiomic features. The results demonstrate the potential use of features extracted from cancer imaging in predicting the risk of metastasis.

Early Adverse Event Derived Biomarkers in Predicting Clinical Outcomes in Patients with Advanced Non-Small Cell Lung Cancer Treated with Immunotherapy.

Adverse events (AEs) have been shown to have clinical associations, in addition to patient safety assessments of drugs of interest. However, due to their complex content and associated data structure, AE evaluation has been restricted to descriptive statistics and small AE subset for efficacy analysis, limiting the opportunity for global discovery. This study takes a unique approach to utilize AE-associated parameters to derive a set of innovative AE metrics. Comprehensive analysis of the AE-derived biomarkers enhances the chance of discovering new predictive AE biomarkers of clinical outcomes. We utilized a set of AE-associated parameters (grade, treatment relatedness, occurrence, frequency, and duration) to derive 24 AE biomarkers. We further innovatively defined early AE biomarkers by landmark analysis at an early time point to assess the predictive value. Statistical methods included the Cox proportional hazards model for progression-free survival (PFS) and overall survival (OS), two-sample t-test for mean difference of AE frequency and duration between disease control (DC: complete response (CR) + partial response (PR) + stable disease (SD)) versus progressive disease (PD), and Pearson correlation analysis for relationship of AE frequency and duration versus treatment duration. Two study cohorts (Cohort A: vorinostat + pembrolizumab, and B: Taminadenant) from two immunotherapy trials in late-stage non-small cell lung cancer were used to test the potential predictiveness of AE-derived biomarkers. Data from over 800 AEs were collected per standard operating procedure in a clinical trial using the Common Terminology Criteria for Adverse Events v5 (CTCAE). Clinical outcomes for statistical analysis included PFS, OS, and DC. An early AE was defined as event occurrence at or prior to day 30 from initial treatment date. The early AEs were then used to calculate the 24 early AE biomarkers to assess overall AE, each toxicity category, and each individual AE. These early AE-derived biomarkers were evaluated for global discovery of clinical association. Both cohorts showed that early AE biomarkers were associated with clinical outcomes. Patients previously experienced with low-grade AEs (including treatment related AEs (TrAE)) had improved PFS, OS, and were associated with DC. The significant early AEs included low-grade TrAE in overall AE, endocrine disorders, hypothyroidism (pembrolizumab's immune-related adverse event (irAE)), and platelet count decreased (vorinostat related TrAE) for Cohort A and low-grade AE in overall AE, gastrointestinal disorders, and nausea for Cohort B. In contrast, patients with early development of high-grade AEs tended to have poorer PFS, OS, and correlated with PD. The associated early AEs included high-grade TrAE in overall AE, gastrointestinal disorders with two members, diarrhea and vomiting, for Cohort A and high-grade AE in overall AE, three toxicity categories, and five related individual AEs for Cohort B. One low-grade TrAE, alanine aminotransferase increased (vorinostat + pembrolizumab related), was an irAE and correlated with worse OS in Cohort A. The study demonstrated the potential clinical utility of early AE-derived biomarkers in predicting positive and negative clinical outcomes. It could be TrAEs or combination of TrAEs and nonTrAEs from overall AEs, toxicity category AEs, to individual AEs with low-grade event leaning to encouraging effect and high-grade event to undesirable impact. Moreover, the methodology of the AE-derived biomarkers could change current AE analysis practice from a descriptive summary into modern informative statistics. It modernizes AE data analysis by helping clinicians discover novel AE biomarkers to predict clinical outcomes and facilitate the generation of vast clinically meaningful research hypotheses in a new AE content to fulfill the demands of precision medicine.

Abstract 6687: Prevalence of four major gene mutation classes in a survey of ctDNA recovery from early and advanced stage NSCLC

Abstract Introduction: Circulating tumor DNA (ctDNA) has emerged as a powerful biomarker with many applications in oncology including early and late-stage disease prognosis and in treatment decision making. Liquid biopsies have become critical in non-small cell lung cancer (NSCLC) given the patient risks associated with biopsies. It is well established that circulating nucleic acid levels representative of all solid tumors are increased in advanced stages of the disease. Less well characterized is the status of cfDNA levels in the earliest stages of solid tumor progression. We used validated methods for quantitative fluorometry and a high sensitivity amplicon based NGS method to survey cfDNA recovery and prevalence for the four major mutation classes (copy number amplifications (CNAs), single nucleotide variations (SNVs), fusions, and insertions/deletions (INDELs)) from patients previously diagnosed with NSCLC. Methods: Cell-free nucleic acid was extracted from 1,139 late-stage and 185 early-stage NSCLC plasma specimens. cfDNA was quantified using fluorometry, and the 52 gene GeneStrat NGS Test was used for the detection of CNAs, SNVs, fusions and INDELs. We evaluated cfDNA concentration (normalized to plasma input volume), quantity in circulation, and the prevalence of the four classes of mutations in early-stage (I-IIIA) versus late-stage (IIIB-IV) NSCLC. Results: We observed significantly lower average concentrations of cf nucleic acids in plasma recovered from early versus late-stage NSCLC specimens (early-stage: 13.7 ng/mL; range (3.14, 118.65); n = 185; late-stage: 18.3 ng/mL; range (0.67, 187.2); n =1,139; p=0.00176). We also evaluated total cfDNA recovered for the sample set and observed significantly lower average measurements for early-stage specimens versus late-stage (early-stage: 101.4 ng; range (18.38, 652.6); n=185; late-stage: 140.5 ng; range (9.802, 1534); n=1,139; p=0.00692). We do note that there were overlaps at the low end of the ranges. Also significant was the finding that all mutation classes were more prevalent in late versus early-stage NSCLC. Specifically, 56 of 58 CNAs (96.6%); 737 of 805 SNVs (91.6%); 42 of 43 INDELs (97.3%) and 12 fusions (100%) were associated with late-stage specimens. Conclusion: In this observational study cohort, cfDNA yields were significantly higher in late-stage NSCLC patients compared to early-stage. We also observed significantly more and varied mutations in plasma from late-stage patients. These initial findings need to be extended to additional cancers and refined by stage at diagnosis. We are currently expanding our study to include additional technologies and panels to assess ctDNA mutations especially for the early-stage patients. Quantitative cfDNA data may be of utility in diagnosis, monitoring and recurrence of cancer. Citation Format: Claire Gould, Leisa Jackson, Colin Cochran, Audrey Audetat, Brittany D'Alessio, Amanda Weaver, Janice Riley, Gary A. Pestano. Prevalence of four major gene mutation classes in a survey of ctDNA recovery from early and advanced stage NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6687.

Abstract 987: Seamless statistical analysis of adverse event data for clinical association

Abstract Purpose: Adverse event (AE) is a critical element in clinical trial to evaluate patient safety profile of the drug for benefit-risk assessment. AE is also shown to have clinical association. However, due to its complexity, utilization of AE data has been suboptimal. This study takes a unique approach to utilize AE parameters and to derive a set of innovative AE metrics which could have the potential as a predictive biomarker of treatment response and survival outcomes. Methods: The AE-derived biomarkers integrated toxicity severity level (grade) and treatment relatedness, with further tune-up by AE occurrence, frequency, and duration. Implementation of AE-derived biomarkers was performed in a comprehensive strategy starting from overall AE, toxicity category, down to individual AE. Landmark analysis at day 30 from initial treatment date was used to define early AE biomarkers. Two study cohorts (Cohort A and B) from two immunotherapy trials in late-stage non-small cell lung cancer were used to evaluate the potential of AE-derived biomarkers. Clinical outcomes for statistical analysis included progression-free survival, overall survival, disease control, and duration of treatment. Results: Both cohorts showed that early AEs were associated with clinical outcomes. Patients experienced with low-grade AEs (including treatment related AEs) at early time point had improved PFS, OS, and were associated with disease control. The significant early AEs included treatment related low-grade AE in overall AE, endocrine disorders, hypothyroidism (immune-related adverse event (irAE)), and platelet count decreased for Cohort A and low-grade AE in overall AE, gastrointestinal disorders, and nausea for Cohort B. In contrast, patients with early development of higher-grade AEs tended to have poorer PFS, OS, and correlated with PD. The associated early AEs included treatment related high-grade AE in overall AE, gastrointestinal disorders with two members, diarrhea and vomiting, for Cohort A and high-grade AE in overall AE, 3 toxicity categories, and 5 related individual AEs for Cohort B. One treatment related low-grade AE, alanine aminotransferase increased, was irAE and correlated with worse OS in Cohort A. Conclusions: The study demonstrated evidence of AE utility in predicting positive and negative clinical outcomes. It could be treatment related AEs or combination of treatment related and not related AEs. Grade level played a key role in determining direction of clinical outcomes with low-grade leaning to positive effect and high-grade to negative impact. Significant AEs covering overall AEs, toxicity category AEs, to individual AEs provided relatively comprehensive view of AE results for clinical relevance. Citation Format: Dung-Tsa Chen, Jhanelle Gray, Andreas Saltos, Trevor A Rose, Alberto Chiappori, Zachary Thompson, Ram Thapa. Seamless statistical analysis of adverse event data for clinical association [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 987.

Abstract 3919: SHP2-DDX3X complexes contribute to translational control of CD274 mRNA in KRAS-active non-small cell lung cancer

Abstract Background: Immune checkpoint inhibitors (ICIs) have shifted the landscape in management for non-small cell lung cancer (NSCLC) and improve treatment outcomes. However, the 5-year overall survival rate of 23.2% for treatment-naïve patients with late-stage NSCLC on Pembrolizumab therapy can likely be improved. Clinical benefit is correlated with tumoral expression of PD-L1 and mutation burden. Many groups seek to identify other therapeutic targets that could improve response and overall survival. Ongoing work from our group demonstrated that SHP2, a tyrosine phosphatase, can negatively regulate PD-L1 expression in KRAS-active NSCLC, and we seek to understand the mechanism by which this occurs. SHP2 was ectopically expressed in H460 cells, immunoprecipitated and identification of interacting proteins was achieved by mass spectrometry. DDX3X, an RNA helicase, and eukaryotic translation initiation factor 1a (eIF-1a) were identified as high-ranking, potential partners of SHP2. We hypothesized that SHP2 complexes with DDX3X and eIF-1a on newly transcribed CD274 mRNA to negatively regulate PD-L1 expression. Materials and Methods: To confirm SHP2 interactions with DDX3X and eIF-1a, two pull-down assays were performed: 1. bacterially-expressed, his-tagged and immobilized proteins was used as bait for proteins contained in A549 and H460 extracts, and 2. immunoprecipitation of each endogenous protein in A549 and H460 cell extracts. Western blot analysis was performed to evaluate interacting proteins. To determine whether phosphatase activity of SHP2 is required for these interactions, immunoprecipitation was also carried out in the presence of allosteric inhibitors of SHP2 (SHP-099 and RMC-0455). SHP2 ablation was carried out with CRISPR and siRNA to examine PD-L1 expression, also determined by western blot assay. Results: His-tagged DDX3X from bacterial expression systems was able to capture SHP2 protein from both A549 cells and H460 cells, and vice versa with his-tagged SHP2. Immunoprecipitation of endogenous SHP2 was able to co-precipitate DDX3X and vice versa. Phosphatase activity of SHP2 was not required for complex formation nor does it change PD-L1 expression in A549 or H460 cells. Ablation of SHP2 leads to increased PD-L1 expression. Conclusion: A complex containing SHP2 and DDX3X may regulate the translation of CD274 in concert with eukaryotic initiation factors. Other groups have previously reported the control of translation of CD274 mRNA carried out at the 3’ UTR, and we believe this is novel evidence of a translation initiation complex monitoring the expression of CD274. Ribosome footprint and RNA immunoprecipitations are underway to address these questions. Citation Format: Palapoom Wongsaengpiboon. SHP2-DDX3X complexes contribute to translational control of CD274 mRNA in KRAS-active non-small cell lung cancer. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3919.

B cell-dependent subtypes and treatment-based immune correlates to survival in stage 3 and 4 lung adenocarcinomas.

Lung cancer is the leading cause of cancer-related deaths worldwide. Surgery and chemoradiation are the standard of care in early stages of non-small cell lung cancer (NSCLC), while immunotherapy is the standard of care in late-stage NSCLC. The immune composition of the tumor microenvironment (TME) is recognized as an indicator for responsiveness to immunotherapy, although much remains unknown about its role in responsiveness to surgery or chemoradiation. In this pilot study, we characterized the NSCLC TME using mass cytometry (CyTOF) and bulk RNA sequencing (RNA-Seq) with deconvolution of RNA-Seq being performed by Kassandra, a recently published deconvolution tool. Stratification of patients based on the intratumoral abundance of B cells identified that the B-cell rich patient group had increased expression of CXCL13 and greater abundance of PD1+ CD8 T cells. The presence of B cells and PD1+ CD8 T cells correlated positively with the presence of intratumoral tertiary lymphoid structures (TLS). We then assessed the predictive and prognostic utility of these cell types and TLS within publicly available stage 3 and 4 lung adenocarcinoma (LUAD) RNA-Seq datasets. As previously described by others, pre-treatment expression of intratumoral 12-chemokine TLS gene signature is associated with progression free survival (PFS) in patients who receive treatment with immune checkpoint inhibitors (ICI). Notably and unexpectedly pre-treatment percentages of intratumoral B cells are associated with PFS in patients who receive surgery, chemotherapy, or radiation. Further studies to confirm these findings would allow for more effective patient selection for both ICI and non-ICI treatments.

Adagrasib: A landmark in the KRASG12C-mutated NSCLC.

Adagrasib: A landmark in the KRASG12C-mutated NSCLC.

Combination of Paclitaxel and PXR Antagonist SPA70 Reverses Paclitaxel-Resistant Non-Small Cell Lung Cancer.

Paclitaxel (PTX) is one of the most efficient drugs for late-stage non-small cell lung cancer (NSCLC) patients. However, most patients gradually develop resistance to PTX with long-term treatments. The identification of new strategies to reverse PTX resistance in NSCLC is crucially important for the treatment. PTX is an agonist for the pregnane X receptor (PXR) which regulates PTX metabolism. Antagonizing PXR, therefore, may render the NSCLC more sensitive to the PTX treatment. In this study, we investigated the PXR antagonist SPA70 and its role in PTX treatment of NSCLC. In vitro, SPA70 and PTX synergistically inhibited cell growth, migration and invasion in both paclitaxel-sensitive and paclitaxel-resistant A549 and H460 lung cancer cells. Mechanistically, we found PTX and SPA70 cotreatment disassociated PXR from ABCB1 (MDR1, P-gp) promoter, thus inhibiting P-gp expression. Furthermore, the combination regimen synergistically enhanced the interaction between PXR and Tip60, which abrogated Tip60-mediated α-tubulin acetylation, leading to mitosis defect, S-phase arrest and necroptosis/apoptosis. Combination of PXT and SPA70 dramatically inhibited tumor growth in a paclitaxel-resistant A549/TR xenograft tumor model. Taken together, we showed that SPA70 reduced the paclitaxel resistance of NSCLC. The combination regimen of PTX and SPA70 could be potential novel candidates for the treatment of taxane-resistant lung cancer.

Association of race, ethnicity, and socioeconomic characteristics as predictors of cachexia risk and survival in stage IV non–small cell lung cancer (NSCLC).

151 Background: Cachexia, seen in more than a third of patients with non-small cell lung cancer (NSCLC), directly leads to functional and survival detriments. As screening and interventions for cachexia and NSCLC improve, deficits of healthcare access and quality among patients disadvantaged by race and socioeconomic factors must be addressed. Methods: Through retrospective and prospective data collection, we established a cohort of 957 patients diagnosed with stage IV NSCLC between 2014-2020 in Dallas, Texas. Presence of cachexia at diagnosis was determined using consensus criteria for substantial (5% for BMI≥20 and 2% for BMI &lt; 20) unintentional weight loss in the 6 months leading to diagnosis. Analyses including multivariate logistic regression and log-rank testing evaluated for significant associations of variables with cachexia incidence and survival. Results: Black race and Hispanic ethnicity independently associated with more than a 70% increased risk of cachexia at NSCLC diagnosis (Table; P &lt; 0.05). Inclusion of private insurance status as a covariate diminished this finding for Hispanic patients only. Black patients presented at younger ages than White patients (Kruskal-Wallis P =0.0012; T-test P = 0.0002), with an average difference of 3 years. Cachexia at diagnosis was a major predictor of survival, highlighting the importance of addressing differential cachexia risk across race/ethnicity. Conclusions: The elevated cachexia risk observed for Black patients independent of insurance status reveals broader causative factors of disparity. A lack of private insurance may be a primary contributor in Hispanic cachexia prevalence. Targeting these differences could mitigate survival detriments linked to cachexia in minority groups. Supported contributors in broader NSCLC outcome inequities include poor representation in trials substantiating USPSTF guidelines as well as preventable barriers to primary and preventative care. Our interpretation of NSCLC outcome disparity in the context of cachexia demonstrates further consequences of these deficits. Moreover, our findings suggest novel targets for health policy by highlighting the prevalence of undiagnosed unintentional weight loss in minority populations with late-stage NSCLC.[Table: see text]

EP16.02-015 Phenotyping Malignant Pleural Effusions with Mass Cytometry: Evidence of EMT and MET States in Late-Stage NSCLC

Malignant pleural effusions (MPEs) signify late-stage disease and are associated with poor prognosis in non-small cell lung cancer (NSCLC). Cytopathology is the standard approach for diagnosing MPEs, however detection of malignant cells remains limited due to scarcity and difficulty in distinguishing them from other cell types. Despite these limitations and because MPEs are often drained from patients as palliative care, studies have proposed utilizing MPEs as a method of liquid biopsy for phenotyping malignant cells and for precision immunotherapy; yet MPEs and their cellular components are inadequately studied at the single-cell level.