Outcome In Non-small Cell Lung Cancer Research Articles

Implementation of Liquid Biopsy in Non-Small-Cell Lung Cancer: An Ontario Perspective.

Lung cancer is the leading cause of cancer-related deaths in Canada, with non-small-cell lung cancer (NSCLC) accounting for the majority of cases. Timely access to comprehensive molecular profiling is critical for selecting biomarker-matched targeted therapies, which lead to improved outcomes in advanced NSCLC. Tissue biopsy samples are the gold standard for molecular profiling; however, several challenges can prevent timely and complete molecular profiling from being performed, causing delays in treatment or suboptimal therapy selection. Liquid biopsy offers a minimally invasive method for molecular profiling by analyzing circulating tumour DNA (ctDNA) and RNA (cfRNA) in plasma, potentially overcoming these barriers. This paper discusses the outcomes of a multidisciplinary working group in Ontario, which proposed three eligibility criteria for liquid biopsy reimbursement: (1) insufficient tissue for complete testing or failed tissue biomarker testing; (2) suspected advanced NSCLC where tissue biopsy is not feasible; and (3) high-risk patients who may deteriorate before tissue results are available. The group also addressed considerations for assay selection, implementation, and economic impact. These discussions aim to inform reimbursement and implementation strategies for liquid biopsy in Ontario's public healthcare system, recognizing the need for ongoing evaluation as technology and evidence evolve.

Maximum standardized uptake value-to-tumor size ratio in fluorodeoxyglucose F18 positron emission tomography/computed tomography: a simple prognostic parameter for non-small cell lung cancer.

By correcting the effect of tumor size on metabolic activity, the maximum standardized uptake value-to-tumor size (SUVmax:tumor size) ratio on fluorodeoxyglucose F18 positron emission tomography (18F-FDG PET)/computed tomography (CT) scans can be a prognostic parameter of non-small cell lung cancer (NSCLC). The current study evaluates the prognostic value of SUVmax:tumor size ratio on pretreatment 18F-FDG PET/CT scans in patients with NSCLC. Furthermore, the SUVmax:tumor size ratio is compared with other established PET parameters. This study included 108 patients with NSCLC who underwent pretreatment 18F-FDG PET/CT scans and curative lung surgery. The associations between the SUVmax:tumor size ratio and other conventional PET parameters were investigated. The recurrence-free survival according to the SUVmax:tumor size ratio was also analyzed. In addition, the SUVmax:tumor size ratio was compared according to postoperative pathologic findings. In total, 72 (66.7%) of the 108 participants presented with adenocarcinoma (ADC). Nineteen (17.6%) patients experienced recurrence during a median follow-up period of 32.3 months. The median SUV max:tumor size ratio was 2.37 (1.23 for ADCs and 3.90 for other histologic types). The SUVmax:tumor size ratio was associated with SUVmax and mean SUV, as well as metabolic tumor volume and total lesion glycolysis. Patients with an SUVmax:tumor size ratio higher than the median had a worse recurrence outcome than those with an SUVmax:tumor size ratio lower than the median. Participants with ADC who presented with lymphovascular invasion had a higher SUVmax:tumor size ratio than those without. The presence of lymph node metastasis and advanced histologic grade were associated with a high SUVmax:tumor size ratio in patients with ADC. The SUVmax:tumor size ratio on pretreatment 18F-FDG PET/CT scans was associated with aggressive tumor behavior and poor outcome in NSCLCs, particularly ADC. The SUVmax:tumor size ratio on pretreatment 18F-FDG PET/CT scans has a prognostic value in patients with NSCLCs, especially ADC.

Cost-effectiveness Analysis of Tumor Treating Fields Therapy Combined With Immune Checkpoint Inhibitor in Metastatic Non-small-cell Lung Cancer

BackgroundThe LUNAR clinical trial revealed that incorporating Tumor Treating Fields (TTFields) therapy alongside immune checkpoint inhibitor (ICI) significantly prolonged the overall survival of patients with metastatic, platinum-resistant non-small-cell lung cancer (NSCLC). However, the cost of TTFields therapy is high and may further increase the financial burden for patients. Our research aims to evaluate the cost-effectiveness of TTFields therapy addition with ICI for metastatic NSCLC. MethodsWe constructed a Markov model to evaluate the healthcare costs associated with TTFields therapy combined with ICI for the treatment of advanced NSCLC. In this model, the clinical data utilized came from the LUNAR trial, while drug costs and health state utility values were extracted from public databases and relevant scholarly publications. The major outcomes incorporated costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER). ResultsCompared with ICI therapy alone, ICI combination with TTFields therapy resulted in 0.42 QALYs at the cost of $167,329, with an ICER of $398,402.38 per year. The calculated ICER surpassed the generally accepted US willingness-to-pay (WTP) threshold of 150,000 per QALY. One-way sensitivity analyses demonstrated that the utility of progression disease is the most influential factor, followed by the cost of TTFields therapy, the utility of progression-free survival, the cost of ICI, and the cost of adverse events in TTFields therapy combined with ICI. Only when the cost of TTFields therapy is reduced by approximately 80.48%, it would be cost-effective within the commonly accepted WTP threshold of $150,000/QALY. ConclusionsAccording to the US WTP, the combination of TTFields therapy with ICI does not currently represent a cost-effective strategy for metastatic NSCLC followed progression on platinum-resistant therapy. Considering its promising clinical outcomes for metastatic NSCLC, it is necessary to control the expenses of this therapeutic strategy in future applications.

Associations of Medicaid expansion with stage at diagnosis, timely initiation and receipt of guideline-concordant treatment, and survival among individuals newly diagnosed with non-small cell lung cancer.

47 Background: Medicaid expansion under the Patient Protection and Affordable Care Act improved health insurance coverage among patients with cancer. Individuals with non-small cell lung cancer (NSCLC) may benefit from Medicaid expansion throughout the cancer control continuum. This study examined the associations of Medicaid expansion with stage at disease diagnosis, timely initiation and receipt of guideline-concordant treatment, and five-year overall survival among individuals with NSCLC. Methods: We identified individuals newly diagnosed at age 18-64 with stages I-IV first primary NSCLC between January 1, 2008 and December 31, 2019 in 50 states and Washington, D.C. from the National Cancer Database (n=332,368). We examined the associations of Medicaid expansion with (1) diagnosis stage, which was categorized into early (I&II) and late (III&IV); (2) timely initiation of guideline-concordant treatment within 30 days after cancer diagnosis (yes/no); (3) receipt of guideline-concordant treatment (yes/no) derived from the National Comprehensive Cancer Network cancer treatment guidelines; and (4) five-year overall survival. We applied a difference-in-differences (DD) approach to examine the changes in study outcomes associated with Medicaid expansion, controlling for key sociodemographic and clinical factors. Results: The percentage of early-stage diagnoses increased from 23.1% pre-expansion to 31.9% post-expansion in expansion states and from 22.3% to 29.5% in non-expansion states, translating to greater increase of 1.7 (95% confidence interval (CI): 0.3-3.1) percentage points (ppt) in expansion states after adjustment (Table). Medicaid expansion was also associated with greater increases in timely initiation of guideline-concordant care (DD: 1.6 (95% CI: 0.1-3.1) ppt) and five-year overall survival (DD: 1.3 (95% CI: 0.7-1.9) ppt). Conclusions: Medicaid expansion may improve access to NSCLC care and outcomes across the cancer control continuum, from early-stage diagnosis, treatment initiation, and overall survival. Association of Medicaid expansion and study outcomes among NSCLC patients. Expansion States Non-expansion States Pre-ME Post-ME Difference Pre-ME Post-ME Difference DD Adjusted DD Early-stage diagnosis 23.1 31.9 8.7 (7.4 to 10.1) 22.3 29.5 7.2 (6.2 to 10.1) 1.5 (-0.1 to 3.2) 1.7 (0.3 to 3.1) Timely initiation of guideline-concordant care 31.3 27.5 -3.9 (-5.3 to -2.4) 33.4 27.8 -5.6 (-6.24 to -2.4) 1.7 (0.1 to 3.3) 1.6 (0.1 to 3.1) Receipt of guideline-concordant care 65.2 68.2 2.9 (1.8 to 4.0) 62.9 66.4 3.5 (2.7 to 4.0) -0.6 (-2.0 to 0.8) -0.2 (-1.7 to 1.3) Five-year survival 21.3 34.8 13.5 (13.1 to 13.9) 18.6 30.2 11.6 (11.1 to 12.2) 1.9 (1.2 to 2.5) 1.3 (0.7 to 1.9) Abbreviation: ME, Medicaid expansion.

Exploring the impact of HDL and LMNA gene expression on immunotherapy outcomes in NSCLC: a comprehensive analysis using clinical & gene data.

Analyzing the impact of peripheral lipid levels on the efficacy of immune checkpoint inhibitor therapy in non-small cell lung cancer (NSCLC) patient populations and exploring whether it can serve as a biomarker for broadening precise selection of individuals benefiting from immunotherapy. We retrospectively collected clinical data from 201 cases of NSCLC patients receiving immune checkpoint inhibitor therapy. The clinical information included biochemical indicators like total cholesterol, triglycerides, high-density lipoprotein (HDL), and low-density lipoprotein (LDL). We utilized machine learning algorithms and Cox proportional hazards regression models to investigate independent predictors for both short-term and long-term efficacy of immunotherapy. Additionally, we concurrently developed a survival prediction model. Analyzing the Genes of Patients with Treatment Differences to Uncover Mechanisms. Correlation analysis revealed a significant positive association between HDL and ORR, DCR, and PFS. T-test results indicated that the high-HDL group exhibited higher DCR (81.97% vs. 45.57%) and ORR (61.48% vs. 16.46%). Kruskal-Wallis test showed that the high-HDL group had a longer median PFS (11 months vs. 6 months). Utilizing six machine learning algorithms, we constructed models to predict disease relief and stability. The model built using the random forest algorithm demonstrated superior performance, with AUC values of 0.858 and 0.802. Furthermore, both univariate and multivariate Cox analyses identified HDL and LDL as independent risk factors for predicting PFS. In patients with poor immunotherapy response, there is upregulation of BCL2L11, AKT1, and LMNA expression. HDL and LDL are independent factors influencing the survival prognosis of NSCLC patients undergoing immune checkpoint inhibitor therapy. HDL is expected to become new biomarkers for predicting the immunotherapy efficacy in patients with NSCLC. In patients with poor immunotherapy response, upregulation of the LMNA gene leads to apoptosis resistance and abnormal lipid metabolism.

The Impact of a Multidisciplinary Team Conference on Non-Small Cell Lung Cancer Care: Time Barriers and Long-Term Outcomes.

Background/Objectives: The prolonged time to reach investigation and management decisions in non-small cell lung cancer (NSCLC) patients can negatively impact long-term outcomes. This retrospective cohort study aims to assess the impact of a multidisciplinary team conference (MDT) on NSCLC care quality and outcomes. Methods: This retrospective study included resectable NSCLC patients who underwent pulmonary resection at Chiang Mai University Hospital, Thailand, from 1 January 2009 to 31 December 2021. Patients were divided into two groups: non-MDT and MDT groups, based on the initiation of MDT on 1 March 2018. The study compared overall survival, disease-free survival, and waiting times for investigation and surgery between the two groups. The effect of MDT on these outcomes was analyzed using multivariable analysis with inverse-probability weighting propensity scores. Results: The study included 859 patients, with 583 in the non-MDT group and 276 in the MDT group. MDT groups had a higher proportion of stage I and II NSCLC patients undergoing pulmonary resection (78.6% vs. 59.69%, p < 0.001). In multivariable analysis, patients in the MDT group had a significantly higher likelihood of longer survival compared to the non-MDT group (adjusted HR 0.23, 95% CI 0.09-0.55). Median waiting times for bronchoscopy (3 days vs. 12 days, p = 0.012), pathologic report (7 days vs. 13 days, p < 0.001), and surgery scheduling (18 days vs. 25 days, p = 0.001) were significantly shorter in the MDT group. Conclusions: An MDT has a survival benefit in NSCLC care and improves waiting times for investigation and treatment steps. Further studies are needed to validate these results.

Peripheral Inflammation Featuring Eosinophilia or Neutrophilia Is Associated with the Survival and Infiltration of Eosinophils within the Tumor among Various Histological Subgroups of Patients with NSCLC.

Immune activation status determines non-small cell lung cancer (NSCLC) prognosis, with reported positive/negative associations for T helper type 2 (TH2) responses, including allergen-specific IgE and eosinophils. Our study seeks to explore the potential impact of these comorbid immune responses on the survival rates of patients with NSCLC. Our retrospective study used data from the Data Warehouse of the German Center for Lung Research (DZL) and Lung Biobank at Thoraxklinik Heidelberg. We estimated the association of blood eosinophilia and neutrophilia on survival rates in an inflammatory cohort of 3143 patients with NSCLC. We also tested sensitization to food and inhalants and high-sensitivity C-reactive protein (hs-CRP) in a comorbidity cohort of 212 patients with NSCLC. Finally, we estimated the infiltration of immune-relevant cells including eosinophils, T-cells, and mast cells in a tissue inflammatory sub-cohort of 60 patients with NSCLC. Sensitization to at least one food or inhalant (sIgE) was higher in patients with adenocarcinoma (adeno-LC) than the non-adenocarcinoma (non-adeno-LC). Furthermore, hs-CRP was higher in non-adeno-LC compared with adeno-LC. Peripheral inflammation, particularly eosinophilia and neutrophilia, was associated with poor survival outcomes in NSCLC with a clear difference between histological subgroups. Finally, blood eosinophilia was paralleled by significant eosinophil infiltration into the peritumoral tissue in the lung. This study provides novel perspectives on the crucial role of peripheral inflammation, featuring eosinophilia and neutrophilia, with overall survival, underscoring distinctions between NSCLC subgroups (adeno-LC vs. non-adeno-LC). Peripheral eosinophilia enhances eosinophil infiltration into tumors. This sheds light on the complex interplay between inflammation, eosinophil infiltration, and NSCLC prognosis among various histological subtypes. Further studies are required to underscore the role of eosinophils in NSCLC among different histological subgroups and their role in shaping the tumor microenvironment.

The value of 18F-fluorodeoxyglucose positron emission tomography-based radiomics in non-small cell lung cancer

ABSTRACT Currently, the second most commonly diagnosed cancer in the world is lung cancer, and 85% of cases are non-small cell lung cancer (NSCLC). With growing knowledge of oncogene drivers and cancer immunology, several novel therapeutics have emerged to improve the prognostic outcomes of NSCLC. However, treatment outcomes remain diverse, and an accurate tool to achieve precision medicine is an unmet need. Radiomics, a method of extracting medical imaging features, is promising for precision medicine. Among all radiomic tools, 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET)-based radiomics provides distinct information on glycolytic activity and heterogeneity. In this review, we collected relevant literature from PubMed and summarized the various applications of 18F-FDG PET-derived radiomics in improving the detection of metastasis, subtyping histopathologies, characterizing driver mutations, assessing treatment response, and evaluating survival outcomes of NSCLC. Furthermore, we reviewed the values of 18F-FDG PET-based deep learning. Finally, several challenges and caveats exist in the implementation of 18F-FDG PET-based radiomics for NSCLC. Implementing 18F-FDG PET-based radiomics in clinical practice is necessary to ensure reproducibility. Moreover, basic studies elucidating the underlying biological significance of 18F-FDG PET-based radiomics are lacking. Current inadequacies hamper immediate clinical adoption; however, radiomic studies are progressively addressing these issues. 18F-FDG PET-based radiomics remains an invaluable and indispensable aspect of precision medicine for NSCLC.

Association of TP53 Mutation Status and Sex with Clinical Outcome in NSCLC Treated with Immune Checkpoint Inhibitors: A Retrospective Cohort Study.

Some studies suggest that TP53 mutations are associated with the response to immune checkpoint inhibitors (ICI) in patients with non-small cell lung cancer (NSCLC) and also contribute to sex disparities in several cancers. Thus, we hypothesized that TP53 mutations might serve as sex-dependent genomic biomarkers of ICI treatment response in patients with NSCLC. Clinical data of 100 patients with metastatic NSCLC treated with ICI monotherapy at Seoul National University Bundang Hospital (SNUBH) were retrospectively reviewed. Genomic and clinical datasets of TCGA and an ICI-treated lung cancer cohort (cBioPortal) were also analyzed. In SNUBH cohort, no statistically significant difference was observed in disease control rate per the TP53 mutation status (p=0.503); however, female patients with TP53 mutated (MT) had a significantly prolonged median progression-free survival (PFS) compared to wild-type (WT) (6.1 months in TP53 MT vs. 2.6 months in TP53 WT; p=0.021). PD-L1 high (≥50%) expression was significantly enriched in female patients with TP53 MT (p=0.001). The analysis from publicly available dataset also revealed that females with NSCLC with TP53 MT showed significantly longer PFS than those with TP53 WT (p<0.001). In TCGA analysis, expression of immune-related genes, and TMB score in TP53 MT females were higher than in males without TP53 MT. Female patients with NSCLC with TP53 mutations had high PD-L1 expression and showed favorable clinical outcomes following ICI therapy, suggesting a need for further research to explore the role of TP53 mutations for sex disparities in response to ICI therapy.

Methionine Restriction Reduces Lung Cancer Progression and Increases Chemotherapy Response.

Targeting tumor metabolism through dietary interventions is an area of growing interest, and may help to improve the significant mortality of aggressive cancers, including non-small cell lung cancer (NSCLC). Here we show that the restriction of methionine in the aggressive KRAS /Lkb1- mutant NSCLC autochthonous mouse model drives decreased tumor progression and increased carboplatin treatment efficacy. Importantly, methionine restriction during early stages of tumorigenesis prevents the lineage switching known to occur in the model, and alters the tumor immune microenvironment (TIME) to have fewer tumor-infiltrating neutrophils. Mechanistically, mutations in LKB1 are linked to anti-oxidant production through changes to cystathionine-β-synthase (CBS) expression. Human cell lines with rescued LKB1 show increased CBS levels and resistance to carboplatin, which can be partially rescued by methionine restriction. Furthermore, LKB1 rescued cells, but not mutant cells, show less G2- M arrest and apoptosis in high methionine conditions. Knock-down of CBS sensitized both LKB1 mutant and non-mutated lines to carboplatin, again rescuing the carboplatin resistance of the LKB1 rescued lines. Given that immunotherapy is commonly combined with chemotherapy for NSCLC, we next wanted to understand if T cells are impaired by MR. Therefore, we examined the ability of T cells from MR and control tumor bearing mice to proliferate in culture and found that T cells from MR treated mice had no defects in proliferation, even though we continued the MR conditions ex vivo . We also identified that CBS is most highly correlated with smoking, adenocarcinomas with alveolar and bronchiolar features, and adenosquamous cell carcinomas, implicating its roles in oxidative stress response and lineage fate in human tumors. Taken together, we have shown the importance of MR as a dietary intervention to slow tumor growth and improve treatment outcomes for NSCLC.

PRMT1 promotes Warburg effect by regulating the PKM2/PKM1 ratio in non-small cell lung cancer

Abnormal epigenetic modifications are involved in the regulation of Warburg effect in tumor cells. Protein arginine methyltransferases (PRMTs) mediate arginine methylation and have critical functions in cellular responses. PRMTs are deregulated in a variety of cancers, but their precise roles in Warburg effect in cancer is largely unknown. Experiments from the current study showed that PRMT1 was highly expressed under conditions of glucose sufficiency. PRMT1 induced an increase in the PKM2/PKM1 ratio through upregulation of PTBP1, in turn, promoting aerobic glycolysis in non-small cell lung cancer (NSCLC). The PRMT1 level in p53-deficient and p53-mutated NSCLC remained relatively unchanged while the expression was reduced in p53 wild-type NSCLC under conditions of glucose insufficiency. Notably, p53 activation under glucose-deficient conditions could suppress USP7 and further accelerate the polyubiquitin-dependent degradation of PRMT1. Melatonin, a hormone that inhibits glucose intake, markedly suppressed cell proliferation of p53 wild-type NSCLC, while a combination of melatonin and the USP7 inhibitor P5091 enhanced the anticancer activity in p53-deficient NSCLC. Our collective findings support a role of PRMT1 in the regulation of Warburg effect in NSCLC. Moreover, combination treatment with melatonin and the USP7 inhibitor showed good efficacy, providing a rationale for the development of PRMT1-based therapy to improve p53-deficient NSCLC outcomes.

Prognostic value of immunotherapy in advanced NSCLC based on baseline and dynamic changes in HALP

Immune checkpoint inhibitors (ICIs) enhance the tumor-killing ability of T-cells in non-small cell lung cancer (NSCLC), improving overall survival (OS) and revolutionizing treatment for advanced stages. However, challenges remain, such as low response rates and the lack of effective markers for selecting candidates. This study evaluated the impact of hemoglobin, albumin, and platelet (HALP), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) on the efficacy of immunotherapy and survival outcomes in advanced NSCLC. Additionally, it aimed to develop a nomogram based on these parameters. Clinical and hematological data from NSCLC patients who received immunotherapy were analyzed. Efficacy was assessed using the immune Response Evaluation Criteria in Solid Tumors (iRECIST), and progression-free survival (PFS) and OS were evaluated. Prediction models incorporated baseline and post-treatment HALP, NLR, and PLR values. The 203 patients had a median follow-up of 16 months, a median PFS (mPFS) of seven months (6.0–8.0), while the median OS (mOS) was not reached (24.0–not available). Pretreatment PLR (PLR0) was associated with a higher disease control rate (DCR) (odds ratio [OR] = 0.258), while initial immunotherapy and NLR after four treatment cycles (NLR4C) significantly improved the objective response rate (ORR). Cox regression analysis showed that pretreatment HALP (HALP0), HALP after four cycles of treatment (HALP4C), and pretreatment NLR (NLR0) significantly impacted PFS. Additionally, HALP0, NLR0, and PLR after four treatment cycles (PLR4C) were associated with OS. The C-indices for PFS and OS were 0.823 and 0.878, respectively, indicating good predictive accuracy. HALP, NLR, and PLR at various time points effectively predicted immunotherapy response in advanced NSCLC patients, with low HALP combined with high NLR and PLR indicating a poor prognosis. These findings could serve as the basis for stratified randomized controlled trials (RCTs) in the future.

Personalizing Therapy Outcomes through Mitogen-Activated Protein Kinase Pathway Inhibition in Non-Small Cell Lung Cancer.

Lung cancer (LC) is a highly invasive malignancy and the leading cause of cancer-related deaths, with non-small cell lung cancer (NSCLC) as its most prevalent histological subtype. Despite all breakthroughs achieved in drug development, the prognosis of NSCLC remains poor. The mitogen-activated protein kinase signaling cascade (MAPKC) is a complex network of interacting molecules that can drive oncogenesis, cancer progression, and drug resistance when dysregulated. Over the past decades, MAPKC components have been used to design MAPKC inhibitors (MAPKCIs), which have shown varying efficacy in treating NSCLC. Thus, recent studies support the potential clinical use of MAPKCIs, especially in combination with other therapeutic approaches. This article provides an overview of the MAPKC and its inhibitors in the clinical management of NSCLC. It addresses the gaps in the current literature on different combinations of selective inhibitors while suggesting two particular therapy approaches to be researched in NSCLC: parallel and aggregate targeting of the MAPKC. This work also provides suggestions that could serve as a potential guideline to aid future research in MAPKCIs to optimize clinical outcomes in NSCLC.

Decreased Time to Treatment in Non-Small Cell Lung Cancer Improves Survival

Introduction: Lung cancer is the leading cause of cancer-related mortality in men and women in the United States. Survival is directly correlated to stage, and stage can progress if cancer is left untreated. We hypothesize that expedited time to treatment after initial radiographic detection results in decreased mortality of local or locoregional non-small cell lung cancer (NSCLC). Methods: We reviewed prospectively collected single institution data from patients with stage I-III NSCLC between 2009-2016. Interval between initial CT on which a suspicious lung nodule was detected (index CT), a subsequent biopsy date, and treatment start date (i.e., day of surgical resection or initiation of radiation therapy) was assessed. Follow-up data were obtained for overall (OS), and disease-free survival (DFS). Univariate analysis was used to investigate variables that correlated with OS and DFS. OS and DFS were compared between time groups using a log-rank test. Results: Of 503 patients analyzed, 239 (47.5%) underwent surgical resection, 255 (50.7%) underwent radiation therapy, and 9 (1.8%) underwent both. Median follow-up was 5.2 years. Receiver operating characteristic (ROC) curves identified the optimum time to improve OS was ≤28 days from index CT to biopsy and ≤87 days from index CT to start of treatment. For stage I patients, a shorter time from index CT to biopsy was associated with improved OS, and DFS (p&lt;0.001 and &lt;0.001, respectively), as was a shorter time from index CT to treatment, (&lt;0.001 and &lt;0.001 respectively). No significant differences were found for stage II and III lung cancers. Conclusions: Diagnosis within 28 days and treatment within 87 days after index CT resulted in improved OS and DFS for Stage I NSCLC. While treatment delays are often multifactorial in etiology, time to treatment must be addressed at the healthcare system level to improve outcomes for NSCLC.

Spatial iTME analysis of KRAS mutant NSCLC and immunotherapy outcome

We conducted spatial immune tumor microenvironment (iTME) profiling using formalin-fixed paraffin-embedded (FFPE) samples of 25 KRAS-mutated non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs), including 12 responders and 13 non-responders. An eleven-marker panel (CD3, CD4, CD8, FOXP3, CD68, arginase-1, CD33, HLA-DR, pan-keratin (PanCK), PD-1, and PD-L1) was used to study the tumor and immune cell compositions. Spatial features at single cell level with cellular neighborhoods and fractal analysis were determined. Spatial features and different subgroups of CD68+ cells and FOXP3+ cells being associated with response or resistance to ICIs were also identified. In particular, CD68+ cells, CD33+ and FOXP3+ cells were found to be associated with resistance. Interestingly, there was also significant association between non-nuclear expression of FOXP3 being resistant to ICIs. We identified CD68dim cells in the lung cancer tissues being associated with improved responses, which should be insightful for future studies of tumor immunity.

Assessment of serum tumor markers CEA, CA-125, and CA19-9 as adjuncts in non-small cell lung cancer management.

Conventional tumor markers may serve as adjuncts in non-small cell lung cancer (NSCLC) management. This study analyzed whether three tumor markers (CEA, CA19-9, and CA-125) held associations with radiographic and clinical outcomes in NSCLC. It constituted a single-center study of NSCLC patients treated with systemic therapy at the London Regional Cancer Program. Serum tumor markers were analyzed for differences in radiographic responses (RECIST v1.1 or iRECIST), associations with clinical characteristics, and all-cause mortality. A total of 533 NSCLC patients were screened, of which 165 met inclusion criteria. A subset of 92 patients had paired tumor markers and radiographic scans. From the latter population, median (IQR) fold-change from nadir to progression was 2.13 (IQR 1.24-3.02; p < 0.001) for CEA, 1.46 (IQR 1.13-2.18; p < 0.001) for CA19-9, and 1.53 (IQR 0.96-2.12; p < 0.001) for CA-125. Median (IQR) fold-change from baseline to radiographic response was 0.50 (IQR 0.27, 0.95; p < 0.001) for CEA, 1.08 (IQR 0.74, 1.61; p = 0.99) for CA19-9, and 0.47 (IQR 0.18, 1.26; p = 0.008) for CA-125. In conclusion, tumor markers are positioned to be used as adjunct tools in clinical decision making, especially for their associations with radiographic response (CEA/CA-125) or progression (CEA/CA-125/CA-19-9).

Active and machine learning-enhanced discovery of new FGFR3 inhibitor, Rhapontin, through virtual screening of receptor structures and anti-cancer activity assessment.

Introduction: This study bridges traditional remedies and modern pharmacology by exploring the synergy between natural compounds and Ceritinib in treating Non-Small Cell Lung Cancer (NSCLC), aiming to enhance efficacy and reduce toxicities. Methods: Using a combined approach of computational analysis, machine learning, and experimental procedures, we identified and analyzed PD173074, Isoquercitrin, and Rhapontin as potential inhibitors of fibroblast growth factor receptor 3 (FGFR3). Machine learning algorithms guided the initial selection, followed by Quantitative Structure-Activity Relationship (QSAR) modeling and molecular dynamics simulations to evaluate the interaction dynamics and stability of Rhapontin. Physicochemical assessments further verified its drug-like properties and specificity. Results: Our experiments demonstrate that Rhapontin, when combined with Ceritinib, significantly suppresses tumor activity in NSCLC while sparing healthy cells. The molecular simulations and physicochemical evaluations confirm Rhapontin's stability and favorable interaction with FGFR3, highlighting its potential as an effective adjunct in NSCLC therapy. Discussion: The integration of natural compounds with established cancer therapies offers a promising avenue for enhancing treatment outcomes in NSCLC. By combining the ancient wisdom of natural remedies with the precision of modern science, this study contributes to evolving cancer treatment paradigms, potentially mitigating the side effects associated with current therapies.

PD-L1 and alternative immune checkpoints (AICs) in non-small cell lung cancer (NSCLC): Insights into the tumor immune microenvironment (TIME) and immunotherapy (IO) outcomes.

8531 Background: PD-L1 and recently identified AICs (B7x, B7-H3, and HHLA2) may function as key immune evasion mechanisms in NSCLC and influence IO efficacy. This study explores the expression patterns of PD-L1 and AICs within the TIME and their impact on IO outcomes in NSCLC, including key molecular subtypes. Methods: NSCLC samples (n=27,629) were analyzed (Caris Life Sciences) with NextGen Sequencing on DNA (592 genes or whole exome)/RNA (whole transcriptome). Tumor cell PD-L1 expression (22c3) was assessed by IHC. Gene expression profiles were analyzed for IFN-γ score and QuantiSEQ was used to assess immune cell infiltration in the TIME. Real-world overall survival (rwOS: from time of biopsy to last contact), time on treatment [TOT: from the first pembrolizumab (pembro) treatment to the last], and OS on pembro (OSpem: from pembro start to last contact) were calculated. Mann-Whitney U, X2/Fisher-Exact, and log-rank tests were applied where appropriate. Results: PD-L1 IHC+ NSCLC and cases with high PD-L1 RNA expression had higher IFN-γ score and immune cell fractions (p&lt;0.0001 for both) vs PD-L1 IHC- and low expression, respectively. Additionally, PD-L1 IHC+ NSCLC was associated with (a/w) higher median transcript levels (TPM) of PD-L1 and B7-H3, while PD-L1 IHC- NSCLC was a/w higher TPM of HHLA2 and B7x (p&lt;0.0001 for all). AICs expression varied by molecular subtype, e.g., higher HHLA2/B7x RNA in EGFR mutant vs wild-type (WT) NSCLC. Moreover, PD-L1 IHC+ NSCLC and cases with high PD-L1 RNA and low B7H3 RNA were a/w longer rwOS, OSpem, and TOT; high HHLA2 RNA was a/w longer rwOS and OSpem with similar TOT; and low B7x RNA expression was a/w longer OSpem and TOT with similar rwOS (Table). Conclusions: Both PD-L1 IHC+ NSCLC and cases with high PD-L1 RNA expression are a/w a more inflammatory TIME, and superior survival and IO outcomes. Moreover, consistent with our prior HHLA2 IHC work (PMIDs: 27553831, 29374053), HHLA2 RNA expression was significantly higher in PD-L1 IHC- and EGFR mutant cases. These findings support the potential utility of transcriptomics along with protein expression for assessing novel predictive biomarkers for IO. Furthermore, the distinct expression profiles of AICs identified in our study may represent key subtypes mediating IO response in WT and EGFR mutant NSCLC. [Table: see text]

Dual analysis of IL-8 in non-small cell lung cancer: A clinical perspective on protein and RNA evaluation via imaging mass cytometry.

e15068 Background: The cytokine Interleukin-8 (IL-8) plays a pivotal role in the tumorigenesis and progression of non-small cell lung cancer (NSCLC), influencing both the tumor microenvironment and immune escape mechanisms. Given its significance, accurately assessing IL-8 levels at the protein and RNA levels could provide valuable insights into its prognostic value and inform therapeutic targeting strategies. This study utilizes imaging mass cytometry (IMC) to conduct a comprehensive evaluation of IL-8 expression in NSCLC, integrating both protein presence and gene expression analysis within the spatial context of the tumor microenvironment. Methods: Our approach leverages the capabilities of IMC to simultaneously detect protein and RNA levels of IL-8 in NSCLC tissue samples. For protein analysis, antibodies tagged with heavy metal isotopes specifically target IL-8, allowing for precise quantification and spatial localization within the tumor. Concurrently, RNA detection is achieved through hybridization probes designed for IL-8 mRNA, enabling the direct observation of gene expression patterns. This method provides a unique opportunity to correlate IL-8's protein abundance with its mRNA expression, offering insights into the regulatory mechanisms at play and their impact on the tumor's behavior and patient outcomes. Results: Preliminary data demonstrate a marked heterogeneity in IL-8 distribution at both the protein and RNA levels, with distinct patterns emerging that relate to tumor aggressiveness and immune infiltration. High IL-8 expression, identified through our integrated IMC approach, correlates with poor prognosis and reduced response to standard therapies, underscoring its potential as a biomarker for NSCLC management. Furthermore, the spatial analysis afforded by IMC highlights the microenvironmental niches where IL-8-mediated interactions could drive tumor progression and immune evasion. Conclusions: By employing IMC for the dual analysis of IL-8 protein and RNA in NSCLC, our study provides a comprehensive view of this cytokine's role in lung cancer pathology. The ability to visualize and quantify IL-8 expression within the spatial context of the tumor microenvironment opens new avenues for understanding its biological impact and for developing targeted therapies. Our findings advocate for the inclusion of IL-8 in the biomarker panel for NSCLC, with potential implications for patient stratification and personalized treatment planning. Future research will focus on expanding these observations to a larger cohort and exploring the therapeutic modulation of IL-8 as a strategy for improving NSCLC outcomes.

The impact of HIV and CD4 count stratification on all cause mortality for adenocarcinoma and squamous cell lung cancers in the antiretroviral therapy era: Analysis of National Veterans Affairs and Kaiser Permanente Northern cohorts.

8070 Background: Since the widespread introduction of antiretroviral therapy (ART), people living with HIV (PWH) have experienced substantially decreased morbidity and mortality. However, PWH are at higher risk for lung cancer and have decreased cancer survival rates compared to people without HIV (PWoH). Few studies have evaluated histology-specific lung cancer survival by stage and HIV immune control. Methods: A retrospective cohort study was conducted with newly diagnosed non-small cell lung cancer (NSCLC), including PWH with PWoH, identified between 2008 and 2020 from the US Department of Veterans Affairs and Kaiser Permanente, California. Adjusted hazard ratios for 5-year survival by CD4 count (≥ 500 cells/mm3, &lt;500 cells/mm3, ref: PwOH) were estimated using Cox models stratified by subtype (adenocarcinoma, squamous) and TNM (I, II/III, IV) stage. Results: This cohort consisted of 562 PWH (53% adenocarcinoma, 33% squamous cell) and 91,370 PWoH (52% adenocarcinoma, 33% squamous cell, 15% not specified). The PWH cohort tended to be younger (62 vs. 69 years), male (97% vs. 83%), and non-Hispanic Black race (48% vs. 14%), compared to PWoH. Among PWH, 41% had CD4 ≥500 cells/mm3, 59% had CD4 &lt;500 cells/mm3 . The median survival in years for PWoH, PWH CD4 count ≥500 cell/mm3and &lt;500 cells/mm3 were: 2.4 ±0.10, 2.3 ± 0.17, 2.0±0.17, respectively for adenocarcinoma, and 2.1±0.01, 2.3±0.21, 1.6±0.17 respectively for squamous cell carcinoma. The table shows the adjusted HR for all-cause mortality for Adenocarcinoma and Squamous Cell Carcinoma comparing PWH ≥500 and PWH&lt;500 to PWoH (as reference) stratified by stage. Conclusions: Although it is well known that low CD counts (&lt;200) are associated with poor cancer outcomes, higher CD4 counts (CD&lt;500) at the time of lung cancer diagnosis may still play a role in the treatment outcomes of NSCLC. PWH who have CD4 counts ≥500 appear to have similar survival compared to PWoH, but CD4&lt;500, those with (vs. without) HIV have higher rates of mortality for both adenocarcinoma and squamous cell histologies. Adjusted hazard ratios (HR)* with 95% confidence intervals (CI) for 5-year all-cause-mortality associated with HIV by CD4 count (reference: PWoH), across Adenocarcinoma and Squamous Cell Cancer histology and baseline cancer stage. [Table: see text]