Clinical Outcomes Of Non-small Cell Lung Cancer Patients Research Articles

Plasma EGFR mutation ctDNA dynamics in patients with advanced EGFR-mutated NSCLC treated with Icotinib: phase 2 multicenter trial result

Plasma epidermal growth factor receptor mutation (EGFRm) circulating tumor DNA (ctDNA) dynamics exhibit promise in predicting outcomes in patients with EGFRm-advanced non-small cell lung cancer (NSCLC). However, there remains limited trial-level data on integrating ctDNA monitoring into clinical practice. We performed a prospective, multicenter trial to investigate the relationship between EGFRm ctDNA dynamic changes and clinical outcomes in NSCLC patients with EGFRm. Ninety-eight treatment-naive EGFRm-advanced NSCLC patients were recruited and administered icotinib until disease progression. Plasma samples were collected at baseline and four weeks after icotinib administration. ctDNA was analyzed using a droplet-digital polymerase chain reaction. At baseline, 71.4% of patients had detectable EGFRm ctDNA. Among them, 45.9% of patients’ ctDNA became undetectable within four weeks of treatment. These patients demonstrated significantly longer progression-free survival (PFS) and overall survival (OS) than those with detectable ctDNA after treatment (P = 0.004 and < 0.001, respectively) and were comparable to those with undetectable ctDNA at both baseline and four weeks. ctDNA detectable at four weeks emerged as a poor independent risk factor for PFS and OS. Patients whose ctDNA became undetectable after treatment had outcomes similar to those with initially undetectable ctDNA, underscoring the predictive value of ctDNA dynamics in treatment efficacy.Registry and the Registration No. of the study/trial: ChiCTR-DDD-17013131. Date of registration: 2017-10-27.

Clinical utility of upfront liquid biopsy in non-small cell lung cancer in the community setting.

316 Background: Molecular diagnosis of advanced non-small cell lung cancer (NSCLC) is critical to guide therapeutic decisions. Blood next generation sequencing (NGS) allows for non-invasive screening for targetable genetic abnormalities. Many studies have validated using the liquid biopsies to screen for resistant mutations at the emergence of treatment failure. However, the clinical utility of liquid biopsy for newly diagnosed NSCLC, as part of a comprehensive molecular profiling, is an area of active research. Methods: Retrospective analysis of the molecular landscape and clinical outcomes in NSCLC patients who had liquid biopsy done between December of 2017 to February of 2022. Patients had EGFR, ALK, ROS-1, and BRAF tested in the tissue, and underwent liquid biopsy for broad molecular profiling. The plasma genotyping was conducted using a 73-gene panel by Guardant 360 test. Actionable mutations were stratified accordingly to the OncoKB database based on the level of preclinical and clinical evidence of drug targetability. Survival analysis was conducted by August of 2023. Results: We enrolled 122 NSCLC patients who 84% were treatment-naïve and 78% had the liquid biopsy performed at the initial diagnosis. We found that 86 patients had oncogenic mutations and 43 (35%) had actionable mutations, with 37 (29%) falling under level 1 of evidence mutations. EGFR and KRAS G12C mutations were the two most common level 1 genetic abnormalities (23% and 11% of all actionable mutations, respectively). We identified two germline BRCA carriers who were referred for genetic counselling. 25 patients (20%) received treatment based on the liquid biopsy results, with 15 (12%) achieving partial response. Six patients had liquid biopsy done at progression of EGFR or MET therapies, which identified a resistance mechanism in three of them. Conclusions: Upfront liquid biopsy identified a significant proportion of patients with targetable mutations. Here, we reported actionable mutations in 35% of our patients who 84% had no prior systemic treatment. Our results complement prior literature and shows that blood next generation sequencing can be a useful tool to guide upfront therapeutical options at the community healthcare setting.

DeepGR: a deep-learning prognostic model based on glycolytic radiomics for non-small cell lung cancer.

Glycolysis proved to have a prognostic value in lung cancer; however, to identify glycolysis-related genomic markers is expensive and challenging. This study aimed at identifying glycolysis-related computed tomography (CT) radiomics features to develop a deep-learning prognostic model for non-small cell lung cancer (NSCLC). The study included 274 NSCLC patients from cohorts of The Second Affiliated Hospital of Soochow University (SZ; n=64), the Cancer Genome Atlas (TCGA)-NSCLC dataset (n=74), and the Gene Expression Omnibus dataset (n=136). Initially, the glycolysis enrichment scores were evaluated using a single-sample gene set enrichment analysis, and the cut-off values were optimized to investigate the prognostic potential of glycolysis genes. Radiomic features were then extracted using LIFEx software. The least absolute reduction and selection operator (LASSO) algorithm was employed to determine the glycolytic CT radiomics features. A deep-learning prognostic model was constructed by integrating CT radiomics and clinical features. The biological functions of the model were analyzed by incorporating RNA sequencing data. Kaplan-Meier curves indicated that elevated glycolysis levels were associated with poorer survival outcomes. The LASSO algorithm identified 11 radiomic features that were then selected for inclusion in the deep-learning model. They have shown significant discrimination capability in assessing glycolysis status, achieving an area under the curve value of 0.8442. The glycolysis-based radiomics deep-learning model was named the DeepGR model. This model was able to effectively predict the clinical outcomes of NSCLC patients with AUCs of 0.8760 and 0.8259 in the SZ and TCGA cohorts, respectively. High-risk DeepGR scores were strongly associated with poor overall survival, resting memory CD4+ T cells, and a high response to programmed cell death protein 1 immunotherapy. The DeepGR model effectively predicted the prognosis of NSCLC patients.

Frequency of EGFR mutation and EML4-ALK fusion genes in patients with non-small cell lung carcinoma

Lung cancer ranks among the top causes of mortality worldwide. Non-small cell lung cancer (NSCLC) accounts for the majority of cases. Advances in genomics have identified potential biomarkers to predict therapeutic strategies in lung cancer. Despite the availability of targeted drugs such as tyrosine kinase inhibitors, a substantial proportion of patients still experience problems such as drug resistance. Mutations in genes like epidermal growth factor receptor (EGFR) and EML4ALK have already been established with altered clinical outcomes in NSCLC patients. With a focus on non-small cell lung cancer (NSCLC),the study was conducted at indraprastha apollo hospital in new delhi. With their informed agreement, 90 patients who were admitted between january 2012 and december 2015 and who had been diagnosed with fine-needle aspiration cytology (FNAC)/biopsy utilizing computed tomography (CT) guidance were included in the study. Excluded from the study were those receiving radiation therapy or chemotherapy concurrently. Information on age, gender, a thorough medical history, a history of smoking, and any additional co-morbidities were taken from medical records. Investigation of EGFR mutation and EML4-ALK gene fusion in NSCLC patients was done. Eleven (11% ) were positive and (89%) were negative for EGFR mutations. The positive cases were analyzed for exon 19 deletion and exon 21 (L858R) substitution and found positive for (60%) and (40%) of cases, respectively. Amongst 90 EGFR-negative patients, 4 (4.4%) had the EML4-ALK fusion gene, while 86 (95.5%) were negative for EML4-ALK. This study’s EML4-ALK fusion gene incidence was only (4%). Females have a higher occurrence of EGFR mutations than males (p=0.003) and the frequency of EGFR mutation was higher in non-smokers. The overall incidence of the EML4-ALK fusion gene was (4.44%) and was higher in patients below 60 years of age.

Effect of body mass index and cholesterol-rich apolipoprotein-B-containing lipoproteins on clinical outcome in NSCLC patients treated with immune checkpoint inhibitors-based therapy: A retrospective analysis.

Obesity and hypercholesterolemia are linked to unfavor clinical outcomes. Recent studies declared the paradox that high body mass index (BMI) and serum cholesterol were independently connected to better clinical outcome of immune checkpoint inhibitors (ICIs) monotherapy in non-small cell lung cancer (NSCLC). The aim of the study is to investigate the prognosis of BMI and serum cholesterol in ICIs-based therapy. This is a retrospective study of 95 NSCLC patients treated with ICIs-based therapy at the Department of Oncology and Lung Cancer Center of China-Japan Friendship Hospital. Treatment efficacy was assessed using durable clinical benefit (DCB) versus nondurable benefit (NDB), best response (active vs. nonactive), and progression-free survival (PFS). The prognostic value of BMI, LDL-C, and RC was determined by multivariate regression analyses, while controlling for confounding factors including age, gender, diabetes status, smoking history, and statin usage. BMI was considered a confounding factor in the analysis when examining the impact of lipoproteins. In our study, we found that in the whole group, BMI ≥25 kg/m2 was linked to a higher risk of poor therapeutic response (OR = 5.92, 95% CI 1.99-19.51, p.val = 0.002) and shorter progression-free survival (HR = 3.00, 95% CI 1.59-5.68, p.val = 0.001). In addition, low levels of RC were associated with better therapeutic response (OR = 0.12, 95% CI 0.02-0.64, p.val = 0.019), while low levels of serum LDL-C were found to predict longer PFS (HR = 0.40, 95% CI 0.19-0.82, p.val = 0.012). These associations were consistent in advanced NSCLC patients receiving ICIs and chemotherapy. Our study suggest that BMI ≥25 kg/m2 and elevated levels of apoB-containing lipoproteins, including LDL-C and RC, could potentially serve as useful prognostic markers for predicting poor treatment outcomes in advanced NSCLC patients treated with the combination of chemotherapy and ICIs.

JAML promotes the antitumor role of tumor-resident CD8+ T cells by facilitating their innate-like function in human lung cancer

Tissue-resident memory CD8+T cells (CD8+TRMs) are thought to play a crucial role in cancer immunosurveillance. However, the characteristics of CD8+TRMs in the tumor microenvironment (TME) of human non-small cell lung cancer (NSCLC) remain unclear. Here, we report that CD8+TRMs accumulate explicitly and exhibit a unique gene expression profile in the TME of NSCLC. Interestingly, these tumor-associated CD8+TRMs uniquely exhibit an innate-like phenotype. Importantly, we found that junction adhesion molecule-like (JAML) provides an alternative costimulatory signal to activate tumor-associated CD8+TRMs via combination with cancer cell-derived CXADR (CXADR Ig-like cell adhesion molecule). Furthermore, we demonstrated that activating JAML could promote the expression of TLR1/2 on CD8+TRMs, inhibit tumor progression and prolong the survival of tumor-bearing mice. Finally, we found that higher CD8+TRMs and JAML expression in the TME could predict favorable clinical outcomes in NSCLC patients. Our study reveals an intrinsic bias of CD8+TRMs for receiving the tumor-derived costimulatory signal in the TME, which sustains their innate-like function and antitumor role. These findings will shed more light on the biology of CD8+TRMs and aid in the development of potential targeted treatment strategies for NSCLC.

Meta-Analysis of Circulating Tumor Cell PD-L1 Expression and the Association with Clinical Outcomes in Non-Small Cell Lung Cancer.

Programmed death ligand-1 (PD-L1) expression on circulating tumor cells (CTCs) has been suggested to provide prognostic information in non-small cell lung cancer (NSCLC), but consensus relative to treatment outcomes is lacking. We conducted the first comprehensive meta-analysis exploring its potential as a prognostic and predictive marker, and assessed the concordance between PD-L1 + CTCs and paired tumor tissue in NSCLC patients. A comprehensive search was applied to PubMed and EMBASE to identify 26 studies that evaluated PD-L1 + CTCs and their association with survival outcomes in 1236 NSCLC patients. The meta-analysis estimated a mean PD-L1 + CTCs detection rate of 61% (95% CI, 49-72). Subgroup analysis based on treatment showed that PD-L1 + CTCs was not significantly associated with better overall survival (OS) in NSCLC patients treated with immune checkpoint inhibitors (ICIs) (Hazard Ratio (HR) = 0.96, 95% CI, 0.35-2.65, P = 0.944), but was predictive of worse OS in those treated with other therapies (HR = 2.11, 95% CI, 1.32-3.36, P = 0.002). Similarly, PD-L1 + CTCs was not significantly associated with superior progressing free survival (PFS) in NSCLCs treated with ICIs (HR = 0.67, 95% CI, 0.41-1.09, P = 0.121), but was significantly associated with shorter PFS in patients treated with other therapies (HR = 1.91, 95% CI, 1.24-2.94, P = 0.001). The overall estimate for the concordance between PD-L1 expression on CTCs and tumor cells was 63% (95% CI, 44-80). The average detection rate of PD-L1 + CTCs was comparable to the rate of PD-L1 expression in NSCLC tumors. There was a trend towards better PFS in ICI-treated NSCLC patients with PD-L1 + CTCs. Larger longitudinal studies on the association of PD-L1 + CTCs with clinical outcomes in NSCLC patients treated with ICIs are warranted.

MS4A3 Promotes the Chemosensitivity of Lung Cancer via THAP1/EGFR Pathways.

MS4A3 functions as a tumor suppressor in multiple cancer types. However, the roles of MS4A3 in lung cancer are still unknown. Therefore, this study aims to investigate the potentials of MS4A3 in lung cancer. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) was carried out to determine mRNA expression. CCK-8 and colony formation assay are conducted to determine cell proliferation. Tube formation assay is performed to determine angiogenesis. Flow cytometry is used to determine cell apoptosis. JASPAR is used to analyze the binding motif of THAP1. Luciferase and ChIP assay are conducted to verify whether MS4A3 can interact with THAP1 to transcriptionally inactivate EGFR. The results showed that MS4A3 is downregulated in non-small-cell lung cancer (NSCLC) patients, which predicts poor clinical outcomes of NSCLC patients. Overexpressed MS4A3 enhances the chemosensitivity of NSCLC cells to osimertinib, whereas MS4A3 knockdown exerts the opposite effects. MS4A3 suppresses the proliferation and angiogenesis and promotes the apoptosis of NSCLC cells. Moreover, MS4A3 upregulates apoptosis-related THAP1 to inactivate EGFR. However, THAP1 knockdown attenuates the effects of MS4A3 and promotes the malignant behavior of NSCLC cells. In conclusion, MS4A3 functions as an anti-tumor gene in NSCLC. MS4A3/THAP1/EGFR signaling enhances the chemosensitivity of lung cancer to EGFR tyrosine kinase inhibitor (TKI).

Bone mineral density as an individual prognostic biomarker in NSCLC patients treated with immune checkpoint inhibitors.

Immune checkpoint inhibitors (ICIs) have left a deep impression in the treatment of non-small cell lung cancer (NSCLC), however, not all patients benefit from it. The purpose of this study was to investigate the prognostic value of baseline bone mineral density (BMD) derived from chest computed tomography (CT) scans in NSCLC patients treated with ICIs. This study included patients with advanced NSCLC who underwent ICI treatment at the Wuhan Union Hospital from March 2020 to October 2022. Baseline BMD was evaluated at non-contrast chest CT at the level of first lumbar vertebra. Patients were divided into BMD-lower group and BMD-higher group according to the optimal cutoff value calculated by X-tile software. Baseline characteristics of the two groups were compared and variables between the two groups were balanced by propensity score matching (PSM) analysis. We calculated the objective response rate (ORR) and disease control rate (DCR) of the two groups and analyzed overall survival (OS) and progression-free survival (PFS) using BMD and other clinical indexes through Cox regression models and Kaplan-Meier survival curves. A total of 479 patients were included in this study, and all patients were divided into BMD-lower group (n=270) and BMD-higher group (n=209). After PSM analysis, each group consisted of 150 patients. ORR (43.3% vs. 43.5% before PSM, P = 0.964; 44.7% vs. 44.7% after PSM, P = 1.000) and DCR (91.1% vs. 94.3% before PSM, P = 0.195; 93.3% vs. 96.7% after PSM, P =0.190) were similar in two groups. There was no statistically significant relationship between BMD degree and PFS before (16.0 months vs. 18.0 months, P = 0.067) and after PSM analysis (17.0 months vs. 19.0 months, P = 0.095). However, lower BMD was associated with shorter OS both before (20.5 months vs. 23.0 months, P< 0.001) and after PSM analysis (20.0 months vs. 23.0 months, P = 0.008). Lower baseline BMD is associated with worse clinical outcomes in NSCLC patients treated with ICIs. As a reliable and easily obtained individual prognostic biomarker, BMD can become a routine detection indicator before immunotherapy.

Circular RNA circRANGAP1/miR-512-5p/SOD2 Axis Regulates Cell Proliferation and Migration in Non-small Cell Lung Cancer (NSCLC)

Non-small cell lung cancer (NSCLC) is the most prevalent histology type of lung cancer worldwide, accounting for 18% of total cancer-related deaths estimated by GLOBOCAN in 2020. CircRNAs have emerged as potent regulators of NSCLC development. CircRANGAP1 (hsa_circ_0001235/hsa_circ_0063526) is a potential biomarker for NSCLC identified by microarray dataset analysis. Here, we investigated the biological functions of circRANGAP1 in NSCLC development and elucidated the associated competing endogenous RNA (ceRNA) mechanisms. We found that circRANGAP1 expression was upregulated in NSCLC tissues and cells, which was inversely correlated with carcinogenesis and poor clinical outcome of NSCLC patients. CircRANGAP1 knockdown inhibited NSCLC migration by regulating miR-512-5p/SOD2 axis. In conclusion, circRANGAP1 facilitated NSCLC tumorigenesis and development by sponging miR-512-5p to upregulate SOD2 expression. Suppression of circRANGAP1 expression by si-circRANGAP1 treatment could be a strategy to inhibit NSCLC development and metastasis.

Clinical markers predict the efficacy of several immune checkpoint inhibitors in patients with non-small cell lung cancer in China.

Immune checkpoint inhibitors (ICIs) are one of the most significant oncological treatment modalities as a result of the rapid advancement of immunotherapy. Programmed Cell Death-Ligand 1 (PD-L1) and tumor mutational burden (TMB) have emerged as key markers for predicting the efficacy and prognosis of ICIs in non-small cell lung cancer (NSCLC), and the predictive role of tumor-infiltrating lymphocytes (TILs) has also received significant attention. However, the prognosis of some individuals cannot be determined by these indicators; for instance, some patients with low PD-L1 expression also benefit from longer survival. Therefore, the purpose of this research was to investigate the connection between new haematological and pathological markers and clinical outcomes in NSCLC patients receiving ICIs. Seventy-six patients with stage III-IV NSCLC treated with ICIs were included in this study. We used the Mann-Whitney test, COX regression and Kaplan-Meier analysis to retrospectively analyze peripheral blood indicators and survival prognostic data of 76 patients in order to investigate the relationship between baseline neutrophil-to-lymphocyte ratio (NLR) and the efficacy of ICIs. To investigate the correlation between CXCL13, CXCR5, CD8 and the efficacy of ICIs, we assessed the expression levels of aforementioned indicators in biopsied tissues of 10 non-small cell lung tumors by immunohistochemistry (IHC) and immunofluorescence (IF) and performed statistical analysis. Disease control rate (DCR) was higher in patients with baseline NLR <3.4 (p=0.016) and neutrophil percentage <71% (P=0.015). Baseline NLR (HR=2.364, P=0.003) and neutrophil percentage (HR=2.824, P=0.013) had the greatest influence on patients' survival prognosis, with baseline NLR exhibiting a stronger predictive value (AUC=0.717), according to univariate and multifactorial COX regression analyses of progression-free survival (PFS) and overall survival (OS). In NSCLC tissues, higher expression of CXCL13 was associated with better clinical outcomes (P=0.032) and higher expression of CD8 was associated with prolonged survival (P=0.022). Low baseline NLR in peripheral blood and high expression of CD8 in tissues are associated with longer PFS and may have a potential predictive value for patients with stage III-IV NSCLC using ICIs.

Non-small cell lung cancer cells with uncommon EGFR exon 19delins variants respond poorly to third-generation EGFR inhibitors

BackgroundThis study compared the clinical efficacy of first-, second-, and third-generation tyrosine kinase inhibitors (TKIs) in previously untreated non-small cell lung cancer (NSCLC) patients harboring uncommon epidermal growth factor receptor (EGFR) exon 19delins variants. MethodsWe retrospectively analyzed the clinical outcomes of NSCLC patients with EGFR exon 19delins mutations who were treated with third- and first-generation EGFR TKIs. In vitro and in vivo studies were conducted to verify the sensitivity of these mutations to distinct generations of TKIs. Molecular simulation was used to investigate the structural characteristics of the EGFR mutant molecules. ResultsIn a multicenter cohort of 1,526 patients, 37 (2.4 %) had uncommon EGFR 19delins mutations. Twenty-four patients were treated with first-generation EGFR TKIs, and third-generation TKIs were administered to ten patients as frontline therapy. Patients carrying EGFR exon 19delins mutations who were given third-generation TKIs exhibited comparatively shorter progression-free survival (PFS) and overall survival (OS) in relation to those who received first-generation EGFR inhibitors; median PFS: 6.9 months vs. 19.1 months (p < 0.001), Median OS: 19.1 months vs. 32.6 months (p < 0.001). In vivo and in vitro studies revealed that uncommon EGFR 19delins variants exhibit limited sensitivity to third-generation EGFR inhibitors in contrast to first- and second-generation EGFR inhibitors. The molecular binding affinity of third-generation EGFR TKIs toward uncommon EGFR 19delins mutations was less than that of first- and second-generation EGFR inhibitors. ConclusionsUncommon EGFR 19delins variants respond poorly to third-generation EGFR inhibitors in NSCLC. Uncommon EGFR 19delins mutations may serve as an unfavorable predictive factor for the efficacy of third-generation EGFR TKI therapy, offering potential guidance for future clinical decision-making.

Lipid Metabolism Pathway Genes and Lung Cancer: ACADSB rs12220683G>C Is Associated with Better Survival Outcome in Patients with Non-Small Cell Lung Cancer

Introduction: Altered lipid metabolism has been reported to be associated with prognosis in multiple cancers. This study aimed to investigate the association of polymorphisms in lipid metabolism pathway genes with survival outcomes in patients with surgically resected non-small cell lung cancer (NSCLC). Methods: In total, 744 patients with surgically resected NSCLC (380 in the discovery cohort and 364 in the validation cohort) were included in this study. The association between 176 polymorphisms of lipid metabolism pathway genes and the clinical outcomes of NSCLC patients was analyzed. Results: Among the polymorphisms investigated, ACADSB rs10902859G>A was associated with significantly better overall survival (OS) in the discovery, validation, and combined cohorts. ACADSB rs10902859G>A was located in the repressed region and had strong linkage disequilibrium (D′ = 1.00 and r2 = 0.94), with rs12220683G>C located in the H3K4me3 peak region, which indicates the presence of active promoters. ACADSB rs12220683G>C was also associated with better OS in the discovery, validation, and combined cohorts (in a dominant model; adjusted hazard ratio [aHR] = 0.53, 95% confidence interval [CI] = 0.30–0.94, p = 0.03; aHR = 0.37, 95% CI = 0.15–0.89, p = 0.03; and aHR = 0.47, 95% CI = 0.29–0.75, p = 0.002, respectively). In vitro luciferase assay demonstrated that the promoter activity of ACADSB was significantly increased in the rs12220683 variant C allele compared with that in the wild G allele (p = 3 × 10−5). Conclusion: These results suggest that ACADSB rs12220683G>C increases promoter activity and that increased ACADSB expression may result in better OS in patients with surgically resected NSCLC.

Heterogeneity of Glycolytic Phenotype Determined by 18F-FDG PET/CT Using Coefficient of Variation in Patients with Advanced Non-Small Cell Lung Cancer.

We investigated the role of Coefficient of Variation (CoV), a first-order texture parameter derived from 18F-FDG PET/CT, in the prognosis of Non-Small Cell Lung Cancer (NSCLC) patients. Eighty-four patients with advanced NSCLC who underwent 18F-FDG PET/CT before therapy were retrospectively studied. SUVmax, SUVmean, CoV, total Metabolic Tumor Volume (MTVTOT) and whole-body Total Lesion Glycolysis (TLGWB) were determined by an automated contouring program (SUV threshold at 2.5). We analyzed 194 lesions: primary tumors (n = 84), regional (n = 48) and non-regional (n = 17) lymph nodes and metastases in liver (n = 9), bone (n = 23) and other sites (n = 13); average CoVs were 0.36 ± 0.13, 0.36 ± 0.14, 0.42 ± 0.18, 0.30 ± 0.14, 0.37 ± 0.17, 0.34 ± 0.13, respectively. No significant differences were found between the CoV values among the different lesion categories. Survival analysis included age, gender, histology, stage, MTVTOT, TLGWB and imaging parameters derived from primary tumors. At univariate analysis, CoV (p = 0.0184), MTVTOT (p = 0.0050), TLGWB (p = 0.0108) and stage (p = 0.0041) predicted Overall Survival (OS). At multivariate analysis, age, CoV, MTVTOT and stage were retained in the model (p = 0.0001). Patients with CoV > 0.38 had significantly better OS than those with CoV ≤ 0.38 (p = 0.0143). Patients with MTVTOT ≤ 89.5 mL had higher OS than those with MTVTOT > 89.5 mL (p = 0.0063). Combining CoV and MTVTOT, patients with CoV ≤ 0.38 and MTVTOT > 89.5 mL had the worst prognosis. CoV, by reflecting the heterogeneity of glycolytic phenotype, can predict clinical outcomes in NSCLC patients.

The emerging nanomedicine-based technology for non-small cell lung cancer immunotherapy: how far are we from an effective treatment.

Non-small cell lung cancer (NSCLC) is a prominent etiology of cancer-related mortality. The heterogeneous nature of this disease impedes its accurate diagnosis and efficacious treatment. Consequently, constant advancements in research are imperative in order to comprehend its intricate nature. In addition to currently available therapies, the utilization of nanotechnology presents an opportunity to enhance the clinical outcomes of NSCLC patients. Notably, the burgeoning knowledge of the interaction between the immune system and cancer itself paves the way for developing novel, emerging immunotherapies for treating NSCLC in the early stages of the disease. It is believed that with the novel engineering avenues of nanomedicine, there is a possibility to overcome the inherent limitations derived from conventional and emerging treatments, such as off-site drug cytotoxicity, drug resistance, and administration methods. Combining nanotechnology with the convergence points of current therapies could open up new avenues for meeting the unmet needs of NSCLC treatment.

Predicting survival of NSCLC patients treated with immune checkpoint inhibitors: Impact and timing of immune-related adverse events and prior tyrosine kinase inhibitor therapy.

Immune checkpoint inhibitors (ICIs) produce a broad spectrum of immune-related adverse events (irAEs) affecting various organ systems. While ICIs are established as a therapeutic option in non-small cell lung cancer (NSCLC) treatment, most patients receiving ICI relapse. Additionally, the role of ICIs on survival in patients receiving prior targeted tyrosine kinase inhibitor (TKI) therapy has not been well-defined. To investigate the impact of irAEs, the relative time of occurrence, and prior TKI therapy to predict clinical outcomes in NSCLC patients treated with ICIs. A single center retrospective cohort study identified 354 adult patients with NSCLC receiving ICI therapy between 2014 and 2018. Survival analysis utilized overall survival (OS) and real-world progression free survival (rwPFS) outcomes. Model performance matrices for predicting 1-year OS and 6-month rwPFS using linear regression baseline, optimal, and machine learning modeling approaches. Patients experiencing an irAE were found to have a significantly longer OS and rwPFS compared to patients who did not (median OS 25.1 vs. 11.1 months; hazard ratio [HR] 0.51, confidence interval [CI] 0.39- 0.68, P-value <0.001, median rwPFS 5.7 months vs. 2.3; HR 0.52, CI 0.41- 0.66, P-value <0.001, respectively). Patients who received TKI therapy before initiation of ICI experienced significantly shorter OS than patients without prior TKI therapy (median OS 7.6 months vs. 18.5 months; P-value < 0.01). After adjusting for other variables, irAEs and prior TKI therapy significantly impacted OS and rwPFS. Lastly, the performances of models implementing logistic regression and machine learning approaches were comparable in predicting 1-year OS and 6-month rwPFS. The occurrence of irAEs, the timing of the events, and prior TKI therapy were significant predictors of survival in NSCLC patients on ICI therapy. Therefore, our study supports future prospective studies to investigate the impact of irAEs, and sequence of therapy on the survival of NSCLC patients taking ICIs.

EGFR exon 20 insertion variants A763_Y764insFQEA and D770delinsGY confer favorable sensitivity to currently approved EGFR-specific tyrosine kinase inhibitors

Background: The EGFR exon 20 insertions (ex20ins) D770_N771insSVD and V769_D770insASV are most frequent in non-small-cell lung cancer (NSCLC) and are associated with intrinsic resistance to currently approved EGFR tyrosine kinase inhibitors (TKIs). A763_Y764insFQEA and D770delinsGY, respectively, account for 3%-8% and 2.0%-4.8% of EGFR ex20ins in NSCLC and are associated with a more favorable response to EGFR-specific TKIs as per case reports. The aim of this study was to elucidate the molecular structures of these mutants and their binding affinities to diverse EGFR TKIs and compare the clinical outcomes in NSCLC patients harboring these mutations. Methods: A real-world cohort study was conducted to evaluate and compare the clinical outcomes of EGFR TKIs among NSCLC patients with different EGFR ex20ins mutants in response to EGFR TKIs. The structures of A763_Y764insFQEA and D770delinsGY were also analyzed and drug binding simulations were performed. Results: With a median follow-up of 24.0months, the first-line objective response rate (ORR), disease control rate (DCR), and median progression-free survival (PFS) were, respectively, 0 (0/16), 50.0% (8/16), and 2.07months (95%CI, 0-6.25) in patients harboring D770_N771insSVD and V769_D770insASV variants and 33.3% (4/12), 83.3% (10/12), and 9.97months (95%CI, 4.75-15.19) in patients with A763_Y764insFQEA and D770delinsGY variants. There was a significant difference between the PFS of these two subgroups (median, 9.97 vs.2.07months, HR = 0.33, 95%CI, 0.13-0.85, p = 0.02). Similarly, the PFS was significantly longer after second-line treatment with EGFR TKIs in patients harboring A763_Y764insFQEA and D770delinsGY compared to those with other insertions (median, 6.77 vs.2.23months, HR = 0.14, p < 0.001). Computational simulations indicated that A763_Y764insFQEA and D770delinsGY mutants were structurally similar to wild-type EGFR. In contrast, the C-helix and phosphate-binding loop of D770_N771insSVD and V769_D770insASV had shifted into the drug-binding pocket, resulting in significant steric hindrance and a lack of affinity for the currently approved EGFR inhibitors. Conclusion: NSCLC patients harboring A763_Y764insFQEA and D770delinsGY insertions of EGFR are responsive to the currently approved EGFR TKIs as opposed to patients with the D770_N771insSVD and V769_D770insASV variants. Therefore, A763_Y764insFQEA and D770delinsGY should be classified as active mutations among heterogeneous EGFR ex20ins subtypes and the carriers can be treated with the suitable EGFR TKIs.

EGFR uncommon alterations in advanced non-small cell lung cancer and structural insights into sensitivity to diverse tyrosine kinase inhibitors.

Background: Approximately 10% of patients with non-small cell lung cancer (NSCLC) harbor uncommon epidermal growth factor receptor (EGFR) alterations. This study aims to investigate the therapeutic responses and predict the binding activity of different tyrosine kinase inhibitors (TKIs) for EGFR uncommon alterations. Methods: Between May 2014 and June 2021, clinical outcomes of NSCLC patients harboring EGFR uncommon alterations who received diverse treatment modalities: first-generation (1G) EGFR-TKI, second-generation (2G) EGFR-TKI afatinib, chemotherapy, and 1G TKI in combination with chemotherapy as the initial therapy were retrospectively analyzed, and structural analysis for the binding activity of major uncommon subtypes G719A, S768I, and L861Q to different TKIs were predicted. Results: A total of 102 NSCLC patients harboring EGFR uncommon alterations with treatment and survival outcomes were included and analyzed. The majority of patients presented compound mutations (54.9%), and G719X plus S768I was the predominant subtype (n = 33, 32.3%). There was a significant difference in median progression-free survival (mPFS) between therapeutic patterns (p = 0.015) and EGFR alteration subtypes (p = 0.017). Rather than almonertinib and furmonertinib, afatinib, dacomitinib and osimertinib revealed favorable binding activity to G719A mutation. In contrast, S768I and L861Q mutation indicated an unaffected binding activity to these diverse kinds of EGFR TKIs. Conclusion: Together with afatinib, 1G-TKIs combined with chemotherapy might be another effective option for NSCLC patients harboring EGFR uncommon alterations. Based on computational findings, afatinib, dacomitinib, and osimertinib might confer favorable activity to G719A, S768I, and L861Q, whereas almonertinib and furmonertinib revealed less activity to G719A.

EP08.01-037 Association of Baseline NLR and BMI with Clinical Outcomes in NSCLC Patients Treated with Immunotherapy Alone Versus Chemo-Immunotherapy

Immunotherapy (IO) as monotherapy and combinations with chemotherapy (IO/CT) have been associated with greater survival than chemotherapy alone. However, there is some evidence of higher rates early progression and deaths in subsets of stage IV non-small cell lung cancer (NSCLC) patients receiving IO versus IO/CT. Several underlying mechanisms including high tumor burden and poor performance status may be associated with early progression on IO alone. There is need for accessible clinical markers that can identify non-responders before IO monotherapy initiation.

Tumor-infiltrating neutrophils and peripheral neutrophil-to-lymphocyte ratio conversely predicted the prognosis of patients with non-small cell lung cancer

Increasing evidence indicates that neutrophil-associated prognostic markers, such as, tumor-associated neutrophils (TANs), neutrophil-to-T cell ratio (NTR) and neutrophil-to-lymphocyte ratio (NLR), are strongly correlated with the survival of patients with non-small cell lung cancer (NSCLC). However, either the association or the difference in their predictive efficacies remains unknown. To this aim, we investigated the influence of intratumoural TANs and peripheral NLR on the clinical outcome of NSCLC patients using tumor tissues, peripheral blood indexes, and clinicopathological data of 133 patients diagnosed with NSCLC. Additionally, Kendall correlation analysis was performed to identify the association between TANs and NLR. Our results revealed that intratumoural TANs were effective prognostic factors for favorable overall survival (OS), but were not associated with disease-free survival (DFS) in the subgroup analysis of 84 postoperative patients and progression-free survival (PFS) in 49 non-resectable NSCLC patients. Elevated NTR also indicated favorable prognosis, with high intratumoural NTR being correlated with prolonged OS and high stromal NTR being correlated with prolonged DFS. In contrast, peripheral NLR predicted dismal OS and DFS of patients receiving curative surgery. Furthermore, neither intratumoural nor stromal TANs were found to be associated with NLR, indicating that they were independent inflammatory indexes in predicting the prognosis of NSCLC. In conclusion, we discovered that TANs and NLR independently and oppositely predicted the clinical outcome of NSCLC patients, providing new sights on the role of neutrophil in tumor biology and survival prediction.