Subtype Of Lung Cancer Research Articles

Rare Carcinomas of Lung - A Case Series and Rreview of Literature

Lung cancer remains a leading cause of mortality and morbidity related to cancers. Apart from common subtypes of lung cancer like Non-small cell carcinoma (NSCLC) and Small cell lung carcinoma (SCLC), there are clinical entities that are very rare in occurrence and differ in diagnostic workup, treatment, and prognosis. The symptoms or clinical presentation of such rare tumors may be similar to the commoner varieties. However, their diagnosis is a clinical challenge in common practice. Hence, early suspicion, and prompt diagnosis by histopathological, immunohistochemical analysis, and imaging studies are of paramount importance. Here we present a trilogy of rare carcinomas of the lung.

AMPK activation reduces cancer cell aggressiveness via inhibition of monoamine oxidase A (MAO-A) expression/activity

AimAMPK can be considered as an important target molecule for cancer for its unique ability to directly recognize cellular energy status. The main aim of this study is to explore the role of different AMPK activators in managing cancer cell aggressiveness and to understand the mechanistic details behind the process. Main methodsFirst, we explored the AMPK expression pattern and its significance in different subtypes of lung cancer by accessing the TCGA data sets for LUNG, LUAD and LUSC patients and then established the correlation between AMPK expression pattern and overall survival of lung cancer patients using Kaplan-Meire plot. We further carried out several cell-based assays by employing different wet lab techniques including RT-PCR, Western Blot, proliferation, migration and invasion assays to fulfil the aim of the study. Key findings•Expression of AMPK is correlated with survival and prognosis of lung cancer patients.•AMPK activators like Metformin and Phenformin downregulate A549 and HCT-116 cell proliferation and migration via repression of p38MAPK activity, subsequent augmentation of R1 repressor and corresponding downregulation of MAO-A expression/activity resulting reduction in the intracellular ROS.•SRT-1720 directly activates AMPK in LKB1 mutant A549 cells either alone or in combination with Metformin resulting regulation of cancer cell aggressiveness. SignificanceThis study identifies the importance of AMPK activators as a repurposing agent for combating lung and colon cancer cell aggressiveness. It also suggests SRT-1720 as a potent repurposing agent for cancer treatment especially in NSCLC patients where a point mutation is present in LKB1.

Causal association between immune cells and lung cancer risk: a two-sample bidirectional Mendelian randomization analysis.

Previous studies have highlighted the crucial role of immune cells in lung cancer development; however, the direct link between immunophenotypes and lung cancer remains underexplored. We applied two-sample Mendelian randomization (MR) analysis, using genetic variants as instruments to determine the causal influence of exposures on outcomes. This method, unlike traditional randomized controlled trials (RCTs), leverages genetic variants inherited randomly at conception, thus reducing confounding and preventing reverse causation. Our analysis involved three genome-wide association studies to assess the causal impact of 731 immune cell signatures on lung cancer using genetic instrumental variables (IVs). We initially used the standard inverse variance weighted (IVW) method and further validated our findings with three supplementary MR techniques (MR-Egger, weighted median, and MR-PRESSO) to ensure robustness. We also conducted MR-Egger intercept and Cochran's Q tests to assess heterogeneity and pleiotropy. Additionally, reverse MR analysis was performed to explore potential causality between lung cancer subtypes and identified immunophenotypes, using R software for all statistical calculations. Our MR analysis identified 106 immune signatures significantly associated with lung cancer. Notably, we found five suggestive associations across all sensitivity tests (P<0.05): CD25 on IgD- CD24- cells in small cell lung carcinoma (ORIVW =0.885; 95% CI: 0.798-0.983; P IVW =0.022); CD27 on IgD+ CD24+ cells in lung squamous cell carcinoma (ORIVW =1.054; 95% CI: 1.010-1.100; P IVW =0.015); CCR2 on monocyte cells in lung squamous cell carcinoma (ORIVW =0.941; 95% CI: 0.898-0.987; P IVW =0.012); CD123 on CD62L+ plasmacytoid dendritic cells (ORIVW =0.958; 95% CI: 0.924-0.992; P IVW =0.017) as well as on plasmacytoid dendritic cells (ORIVW =0.958; 95% CI: 0.924-0.992; P IVW =0.017) in lung squamous cell carcinoma. This study establishes a significant genomic link between immune cells and lung cancer, providing a robust basis for future clinical research aimed at lung cancer management.

Additional impact of genetic ancestry over race/ethnicity to prevalence of KRAS mutations and allele-specific subtypes in non-small cell lung cancer

KRAS mutation is the most common oncogenic driver in patients with non-small cell lung cancer (NSCLC). However, the detailed understanding of how self-reported race and/or ethnicity (SIRE), genetically inferred ancestry (GIA), and their interaction affect KRAS mutation is largely unknown. Here, we investigated the associations between SIRE, quantitative GIA, and KRAS mutation and its allele-specific subtypes in a multi-ethnic cohort of 3918 patients from the Boston Lung Cancer Survival cohort and the Chinese OrigiMed cohort with an independent validation cohort of 1450 patients with NSCLC. This comprehensive analysis included detailed covariates including age at diagnosis, sex, clinical stage, cancer histology, and smoking status. We report that SIRE is significantly associated with KRAS mutations, modified by sex, with SIRE-Asian patients showing lower rates of KRAS mutation, transversion substitution, and the allele-specific subtype KRASG12C compared to SIRE-White patients, after adjusting for potential confounders. Moreover, GIA was found to correlate with KRAS mutations, where patients with a higher proportion of European ancestry had an increased risk of KRAS mutations, especially more transition substitutions and KRASG12D. Notably, among SIRE-White patients, an increase in European ancestry was linked to a higher likelihood of KRAS mutations, whereas an increase in Admixed American ancestry was associated with a reduced likelihood, suggesting that quantitative GIA offers additional information beyond SIRE. The association of SIRE, GIA, and their interplay with KRAS driver mutations in NSCLC highlights the importance of incorporating both into population-based cancer research, aiming to refine clinical decision-making processes and mitigate health disparities.

Identification of oxidative stress signatures of lung adenocarcinoma and prediction of patient prognosis or treatment response with single-cell RNA sequencing and bulk RNA sequencing data

Lung adenocarcinoma (LUAD), the most common subtype of lung cancer globally, has seen improved prognosis with advancements in diagnostic, surgical, radiotherapy, and molecular therapy techniques, while its 5-year survival rate remains low. Molecular biomarkers provide prognostic value. Oxidative stress factors, such as reactive nitrogen species and ROS, are crucial in various stages of tumor progression, influencing cell transformation, proliferation, angiogenesis, and metastasis. ROS demonstrate dual roles, affecting tumor cells, hypoxia sensitivity, and the microenvironment. Comprehensive analysis of oxidative stress in LUAD has not been conducted to date. Therefore, we systematically investigated the regulatory patterns of oxidative stress in LUAD based on oxidative stress-related genes and correlated these patterns with cellular infiltration characteristics of the tumor immune microenvironment. The model utilizes single-factor Cox analysis to screen key differential genes with prognostic value and employs least absolute shrinkage and selection operator (LASSO) penalized Cox regression analysis to construct a prognostic-related prediction model. Ten candidate genes were selected based on this model. The risk score was constructed using the coefficients and expression levels of these ten genes. Furthermore, the impact of this risk score on overall survival (OS) was determined. Two genes with the most significant differential expression, SFTPB and S100P, were selected through qRT-PCR. Cell experiments including CCK-8, Edu, transwell assays confirmed their effects on lung cancer cells growth, consistent with the results of bioinformatics analysis. These findings suggested that this model held potential clinical value for evaluating the prognosis of lung adenocarcinoma.

Investigating causal associations between pneumonia and lung cancer using a bidirectional mendelian randomization framework

BackgroundPneumonia and lung cancer are both major respiratory diseases, and observational studies have explored the association between their susceptibility. However, due to the presence of potential confounders and reverse causality, the comprehensive causal relationships between pneumonia and lung cancer require further exploration.MethodsGenome-wide association study (GWAS) summary-level data were obtained from the hitherto latest FinnGen database, COVID-19 Host Genetics Initiative resource, and International Lung Cancer Consortium. We implemented a bidirectional Mendelian randomization (MR) framework to evaluate the causal relationships between several specific types of pneumonia and lung cancer. The causal estimates were mainly calculated by inverse-variance weighted (IVW) approach. Additionally, sensitivity analyses were also conducted to validate the robustness of the causalty.ResultsIn the MR analyses, overall pneumonia demonstrated a suggestive but modest association with overall lung cancer risk (Odds ratio [OR]: 1.21, 95% confidence interval [CI]: 1.01 − 1.44, P = 0.037). The correlations between specific pneumonia types and overall lung cancer were not as significant, including bacterial pneumonia (OR: 1.07, 95% CI: 0.91 − 1.26, P = 0.386), viral pneumonia (OR: 1.00, 95% CI: 0.95 − 1.06, P = 0.891), asthma-related pneumonia (OR: 1.18, 95% CI: 0.92 − 1.52, P = 0.181), and COVID-19 (OR: 1.01, 95% CI: 0.78 − 1.30, P = 0.952). Reversely, with lung cancer as the exposure, we observed that overall lung cancer had statistically crucial associations with bacterial pneumonia (OR: 1.08, 95% CI: 1.03 − 1.13, P = 0.001) and viral pneumonia (OR: 1.09, 95% CI: 1.01 − 1.19, P = 0.037). Sensitivity analysis also confirmed the robustness of these findings.ConclusionThis study has presented a systematic investigation into the causal relationships between pneumonia and lung cancer subtypes. Further prospective study is warranted to verify these findings.

Feasibility of two-step approach for screening NTRK fusion in two major subtypes of non-small cell lung cancer within a large cohort

Our objective is to investigate a cost-effective approach to screen for NTRK fusion in the major subtypes of non-small cell lung cancer (NSCLC). Evaluate the concordance between immunohistochemistry (IHC) and next-generation sequencing (NGS), as well as between fluorescence in situ hybridization (FISH) and NGS, to detect any discrepancies in methodological consistency between lung adenocarcinoma (LADC) and lung squamous cell carcinoma (LSCC). Analyze the factors influencing IHC results. A cohort of 1654 patients with NSCLC underwent screening for NTRK fusion using whole slide IHC. The positive cases were analyzed by both FISH and NGS. Totally, 57 tested positive for pan-TRK, with positivity rates of 0.68% (10/1467) for LADC and 29.01% (47/162) for LSCC. FISH showed separate NTRK1 and NTRK3 rearrangements in two pan-TRK-positive LADCs, while all LSCCs tested negative. NGS confirmed functional NTRK fusion in two FISH-positive cases: one involving TPM3-NTRK1 and the other involving SQSTM1-NTRK3. A non-functional fusion of NTRK2-XRCC1 was detected in LSCC, while FISH was negative. According to our approach, the prevalence of NTRK fusion in NSCLC is 0.12%. The concordance rate between IHC and RNA-based NGS was 20% (2/10) in LADC and 0% (0/162) in LSCC. When the positive criteria increased over 50% of tumor cells showing strong staining, the concordance would be 100% (2/2). A concordance rate of 100% (2/2) was observed between FISH and RNA-based NGS in LADC. The expression of pan-TRK was significantly correlated with the tumor proportion score (TPS) of PD-L1 (p < 0.05) and transcript per million (TPM) values of NTRK2 (p < 0.05). We recommend using IHC with strict criteria to screen NTRK fusion in LADC rather than LSCC, confirmed by RNA-based NGS directly. When the NGS results are inconclusive, FISH validation is necessary.

Abstract PR006: DNA repair inhibition via targeting ATR activates cGAS/STING signaling, promotes anti-tumor immunity, and is a synthetic lethal strategy to augment immunotherapy response in preclinical models and clinical samples of small cell lung cancer

Abstract Introduction: Small cell lung cancer (SCLC) is the most aggressive subtype of lung cancer. Clinical trials of immune checkpoint blockade (ICB) combined with chemotherapy delivered only very modest benefits. In this study, we investigated the effect of targeting ataxia telangiectasia and rad3-related (ATR), the primary activator of the replication stress response, in SCLC. Clinical samples from treatment naïve and treated SCLC patients were analyzed by single cell and bulk RNA sequencing to ascertain the intratumoral transcriptional heterogeneity and the surrounding tumor microenvironment (TME). Methods: In this study, we investigated the effect of ATR inhibition either alone or in combination with PD-L1 blockade in multiple immunocompetent mouse models of SCLC. The downstream effects of ATR inhibition were assessed by bulk RNA sequencing, and multicolor flow cytometry. The SCLC clinical samples from treatment naïve and patients treated were analyzed by single cell and bulk RNA sequencing. Results: In multiple immunocompetent SCLC mouse models, ATR inhibition (ATRi) remarkably enhanced the anti-tumor effect of PD-L1 blockade. We next tested the ATR inhibition either alone or in combination with PD-L1 in the second-line regimen for SCLC. We observed that ATR inhibition in combination with PD-L1 blockade significantly reduced tumor volume and prolonged survival of aggressive mice models when compared to PD-L1 alone. Targeting ATR enhanced the expression of PD-L1, activated the cGAS/STING pathway, induced the expression of Type I and II interferon pathways, and caused significant infiltration of cytotoxic and memory/effector T-cells into tumors. Interestingly, ATRi also led to significant induction of MHC class I in SCLC in vitro and in vivo models. Single-cell RNA sequencing data provided a deep annotation of SCLC phenotypes and the surrounding immune TME. Treatment and subtype are associated with substantial phenotypic changes in the SCLC immune microenvironment, with greater T-cell dysfunction in SCLC-N than in SCLC-A. Moreover, a recurrent highly metastatic SCLC subset is associated with exhausted CD8+ T-cells and a pro-fibrotic, immunosuppressive monocyte/macrophage population, suggesting possible tumor-immune coordination to promote metastasis. Specifically, analysis of pre-and post-treatment clinical samples from a proof-of-concept study of a first-in-class ATR inhibitor, VX970 (berzosertib), and topotecan, in patients with relapsed SCLCs, validated the induction of MHC class I and interferon pathway genes, for the first time in this disease. Conclusion: We provide insight into tumor and immune biology in SCLC at single-cell resolution. Further, we show ATRi as a potentially transformative vulnerability of SCLC. Given the increasing importance of immunotherapy for the management of SCLC and that ATR inhibitors are already in clinical trials, combining ATR inhibitors with PD-L1-blockade offers an attractive strategy for the treatment of SCLC and contributes to the rapid translation of this combination into the clinic. Citation Format: Triparna Sen. DNA repair inhibition via targeting ATR activates cGAS/STING signaling, promotes anti-tumor immunity, and is a synthetic lethal strategy to augment immunotherapy response in preclinical models and clinical samples of small cell lung cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Expanding and Translating Cancer Synthetic Vulnerabilities; 2024 Jun 10-13; Montreal, Quebec, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(6 Suppl):Abstract nr PR006.

Association of chronic or acute systolic and diastolic heart failure with incidence rates of pneumonia, sepsis, and septic shock in patients with lung cancer.

e24005 Background: Systolic heart failure (SHF) and diastolic heart failure (DHF) can lead to volume overload and cause pulmonary venous congestion and pulmonary edema. While an association between lung cancer (LC) and increased infection rates is well established, we investigated whether chronic SHF or DHF, as well as acute SHF or DHF in concomitance with LC, influenced the incidence of pneumonia (PNA), sepsis, and septic shock. Methods: A retrospective study was conducted by obtaining patients with LC by applying specific ICD 10 codes (C34.0 - C34.9 including all sub-codes) from the National Inpatient Sample 2019-2020. Among this cohort, patients with acute and chronic SHF or DHF were further identified by applying specific ICD 10 codes ((I50.1 - I50.4 including all sub-codes). Pneumonia, sepsis, and septic shock outcomes were compared between LC patients with each of these types of heart failures versus those without using multivariate regression analysis (MVRA), adjusting for demographic factors, hospital-specific characteristics, common comorbidities and alcohol, smoking, or substance use. Results: 802,230 patients were identified with LC. 48.7% were female. 77.9% were Caucasian, 12.8% were African American, 4.6% were Hispanic, and 3.5% belonged to other ethnicities. Patients with LC and chronic SHF (n = 25880) had no significant difference in rates of PNA [Adjusted (Ad) odds ratio (OR): 0.9, p = 0.13] and sepsis (Ad OR: 0.9, p = 0.59) but had higher rates of septic shock (Ad OR: 1.4, p &lt; 0.001) compared to those LC patients without any heart failure (HF). Patients with LC who had acute SHF (n = 22295) showed higher rates of PNA (Ad OR: 1.4, p &lt; 0.001), sepsis (Ad OR: 1.5, p &lt; 0.001), as well as septic shock (Ad OR: 1.6, p &lt; 0.001) versus those without any HF. Patients with LC and concurrent chronic DHF (n = 31580) had similar rates of PNA (Ad OR: 1, p = 0.64), sepsis (Ad OR: 1.1, p = 0.62) and septic shock (Ad OR: 1, p = 0.77) compared to LC patients without any HF. However, acute DHF (n = 24080) led to a higher incidence of PNA (Ad OR: 1,4, p &lt; 0.001) and sepsis (Ad OR: 1.2, p = 0.05) in patients with LC, but no difference in the incidence of septic shock (Ad OR: 0.8, p = 0.072). Conclusions: Chronic SHF led to an increased incidence of septic shock, whereas acute SHF was associated with accentuated rates of PNA, sepsis, and septic shock in patients with LC. Chronic DHF did not predict an increased risk of infections; however, acute DHF was associated with enhanced rates of PNA and sepsis. Future investigations may focus on the effect of SHF or DHF on outcomes beyond hospitalization in patients with LC and the subtypes of LC and infection risk. Based on this signal-finding analysis, it may be postulated that early inter-disciplinary collaboration between oncology and cardiology may be crucial in managing patients with heart failure and LC and potentially lead to better patient outcomes.

Unraveling the Mechanism of Curculiginis Rhizoma in Suppressing Cisplatin Resistance in Non-Small Cell Lung Cancer: An Experimental Study.

Non-small cell lung cancer (NSCLC) stands as one of the most prevalent malignancies, and chemotherapy remains the primary treatment for advanced stages. However, the high expression of ABC binding cassette transporters, including MRP, P-gp, and LRP, along with multidrug resistance proteins, has been identified as a significant factor contributing to decreased chemotherapy drug sensitivity. This study aims to explore the impact and underlying mechanisms of Curculiginis Rhizoma [Hypoxidaceae; Curculigo orchioides Gaertn.] (CR) in combination with cisplatin on improving chemoresistance mediated by ABC binding cassette transporters and multidrug resistance proteins in NSCLC. To unravel the relationship between JNK, MRP, P-gp, and LRP in NSCLC and gain insights into the regulatory mechanism of CR, this study employs an integrated approach encompassing bioinformatics, molecular docking, molecular dynamics, animal and cellular experiments. Bioinformatics analysis revealed a significant increase in the expression levels of JNK, MRP, P-gp, and LRP subtypes in multidrug-resistant non-small cell lung cancer. Subsequent animal experiments have shown that the combination of CR with cisplatin can improve the survival rate of lung cancer mice. Molecular docking and molecular dynamics analyses demonstrated favorable binding interactions between curculigoside and the aforementioned subtypes of JNK, MRP, P-gp, and LRP. In cellular experiments, the combination of cisplatin with both curculigoside and CR extract resulted in a notable decrease in cell viability and downregulation of the expression of JNK1, JNK2, MRP1, MRP2, MRP4, P-gp, and LRP1 in A549/cis cells. Remarkably, curculigoside exerted a significant downregulation effect on the expression levels of JNK1, MRP1, MRP2, MRP4, and LRP1. CR, particularly its main effective metabolite, curculigoside, has the potential to enhance the sensitivity of non-small cell lung cancer to cisplatin by regulating levels of JNK/MRP/LRP/P-gp and mitigating multidrug resistance.

The prognostic and clinical value of genes associate with immunity and amino acid Metabolism in Lung Adenocarcinoma

BackgroundLung adenocarcinoma (LUAD) is the commonest subtype of primary lung cancer. A comprehensive analysis of the association of immunity with amino acid metabolism in LUAD is critical for understanding the disease. MethodsThe present study examined LUAD and noncancerous cases from the TCGA database. Differentially expressed genes (DEGs) between LUAD and noncancerous tissues were detected by analyzing processed expression profiles. We cross-referenced the up-regulated DEGs with Immune and Amino Acid Metabolism-related genes (I&AAMGs), resulting in Immune and Amino Acid Metabolism related differentially expressed genes (IAAAMRDEGs). The STRING database was employed to analyze PPI on IAAAMRDEGs, obtaining excavated hub genes, whose biological processes, molecular functions and cellular components were examined with GO/KEGG. Potential mechanisms related to LUAD were investigated by GSEA and GSVA. A prognostic model was built by LASSO-COX analysis, taking into consideration risk scores and prognostic factors to determine biomarkers affecting LUAD occurrence and prognosis. ResultsTotally 377 genes were detected at the intersection of upregulated DEGs and I&AAMGs. Analysis of PPI on these 377 IAAAMRDEGs yielded 17 hub genes. A LASSO regression analysis was utilized to assess the prognostic values of the 17 hub genes. Validation using the combined dataset confirmed 4 genes, e.g., polo-like kinase (PLK1), Ribonucleotide Reductase Subunit M2 (RRM2), Thyroid Hormone Receptor Interactor 13 (TRIP13), and Hyaluronan-Mediated Motility Receptor (HHMR). The model's accuracy was further assessed by ROC curve analysis and the COX model. In addition, immunohistochemical staining obtained from the HPA database, revealed enhanced PLK1 expression in LUAD samples. ConclusionLUAD pathogenesis is highly associated with immunity and amino acid metabolism. The PLK1, RRM2, TRIP13, and HMMR genes have prognostic values for LUAD. PLK1 upregulation in LUAD might be involved in tumorigenesis by modulating the cell cycle and represents a potential prognostic factor in clinic.

Integrated genomic and transcriptomic characterization of neuroendocrine carcinomas for improved treatment decision-making.

e15138 Background: Neuroendocrine carcinomas (NECs) are poorly characterized due to their innate heterogeneity, thus limiting treatment and clinical trial options for patients. Here, we used whole exome sequencing (WES) and RNA sequencing (RNA-seq) to explore the genetic and microenvironmental landscape of NECs in order to understand the unique features of different NEC types, with the aim of improving treatment modalities. Methods: We analyzed 51 NEC clinical samples morphologically verified by a pathologist: lung NEC (20 small cell NEC and 1 large cell NEC cases), gastroenteropancreatic NEC (GEP, 12 cases), cancer of unknown primary (7 cases), Merkel cell carcinoma (MCC, 5 cases), genitourinary tract NEC (3 cases), and breast NEC (3 cases). Findings on tumor mutational burden (TMB, mut/Mb), microsatellite instability (MSI), gene expression signatures, and tumor microenvironment (TME) profiling were reported. Small cell lung cancer (SCLC) subtyping was performed as reported by Gay et al. on the entire NEC cohort. Results: Half of the patients with lung NEC and 84% of those with extrapulmonary NEC satisfied the molecular inclusion criteria for clinical trials, with the most frequent criterion being KRAS G12X or G13X mutations. Among the extrapulmonary NEC samples, 13.7% were deemed eligible for targeted therapy, specifically for cases with BRAF V600E mutation and/or high TMB (&gt; 10 mut/Mb). We detected varying TMB and distinct gene expression features across the entire cohort. Specifically, we found 2 MCC cases to be Merkel cell polyomavirus-positive with low TMB and devoid of UV-associated mutations. One GEP-NEC case exhibited a high MSI (MSI-high) status. We detected 6 SCLC cases (3 non-smokers, 3 former smokers) with surprisingly low levels of tobacco-associated mutations (&lt;10% of all mutations). Two GEP-NEC cases had high levels of mutations associated with tobacco smoking. While TME profiling showed no significant difference in cell population makeup across all samples, transcriptional SCLC subtyping revealed significant differences among the cases. Inflammatory SCLC (SCLC-I) samples showed statistically significant enrichment of all subpopulations of the immune microenvironment (i.e., B cells, T cells, NK cells), supporting the use of immune checkpoint blockade for treatment. The POU2F3+ SCLC (SCLC-P) samples showed low expression of all neuroendocrine diagnostic markers (i.e., INSM1, NCAM1, SYP, CHGA). Conclusions: Given the heterogeneous molecular features across diverse NEC tumors, a uniform treatment strategy is unlikely to benefit all NEC patients. Hence, our ability to detect these unique molecular features is crucial for matching individual NEC patients with specific clinical trials and targeted therapies that may improve their outcomes. Thus, a concerted effort using in-depth genomic, transcriptomic, and TME profiling for NEC tumors is warranted.

Implementing personalized lung cancer care with spatial profiling, patient derived organoids, and rationally designed drug testing.

e20521 Background: Lung cancer (LC) remains the leading cause of cancer-related death in 2024, with most LC diagnoses with non-small cell lung cancer (NSCLC) subtype. Tyrosine kinase inhibitors (TKI) and targeted therapy against oncogenic drivers (KRAS, EGFR, or ALK fusions, others) are effective initial therapies; however, nearly all treated patients eventually develop resistance to therapy. Key reasons are the focus on limited predictive biomarkers and lack of patient derived LC models that reflect the underlying heterogeneity and the various phenotypic cell states among subclones within and between patients. Methods: We report the establishment of a novel platform for personalized LC care by refining the resolution of molecular interrogation of diagnostic and resistance biopsies to the single cell level, and with spatial profiling using single cell spatial multiomic (scSpMO) and coupling these enhanced diagnostic tools with functional validation with rational designed drug screens in patient-derived organoids (PDOs). Results: For deriving LC PDOs in epithelial and tumor microenvironment (TME) conditions to faithfully maintain the histological and genetic features of their respective LC tissues, we developed enrichment conditions for LC PDOs guided by tumor mutation variants and activated pathways. PDOs are maintained under the same treatment condition in the clinic (e.g., Lorlatinib) and drug testing is tailored to identify potentially most effective next lines of therapy. With nine patients enrolled and others in ongoing studies, single cell PDOs (at &gt; 80% establishment rate) were used to determine activated pathways, lineage plasticity and acquired resistance. Functional assays for acquired resistance such as PI3K/AKT signaling, Src kinase, BRAF fusion and MET hyperactivity allow the identification of potentially novel lines of therapy and treatment sequence and/or combinations for each patient, through the compassionate care program and/or trial participation. Conclusions: Our platform when empowered by combining datasets from scRNA-seq and scSpMO signatures, with validated functional drug responses in PDOs, offers the ability to perform high-content assays, predict and/or act on resistance to therapy for each patient, and provides a path for precision medicine-guided impact on patient care.

Comparison of chemotherapy to chemo-immunotherapy as first-line treatment in patients with advanced large cell neuroendocrine carcinomas (LCNECs) of mixed histology: A multi-institutional international retrospective study.

8602 Background: LCNECs are a rare subtype of lung cancer, with limited clinical trial data and an unclear consensus on first-line treatment. Even less is known about the optimal treatment approach for pts with mixed LCNECs, a pathologic subtype where tumors contain both LCNEC histology as well as features of adenocarcinoma, squamous cell, or small cell lung cancer. Methods: We conducted an international multi-institutional retrospective analysis (n=13 institutions) of pts with advanced or metastatic mixed LCNECs who received 1st-line systemic therapy with either chemotherapy alone (chemo) or chemo-immunotherapy (chemoIO) between 2010-2023. Clinical outcomes included progression-free survival (PFS), overall survival (OS), objective response rate (ORR), and treatment-related adverse events (trAEs). Survival comparisons were made via the log-rank test. Results: Seventy-three pts with mixed LCNECs received either chemo (n=42, 57.5%) or chemoIO (n=31, 42.5%). The most common chemo regimens were carboplatin/etoposide (n=27) and cisplatin/etoposide (n=8), while the most common chemoIO was carboplatin/etoposide/atezolizumab (n=19). Median age at 1st-line therapy initiation was 65 (IQR: 60-72). 64% of pts were male (n=47). The majority were former smokers (n=41, 56.2%), with 22 current smokers (30.1%), and 10 non-smokers (13.7%). Mixed histologies included LCNEC/NSCLC (n=45, 56.2%), LCNEC/SCLC (n=17), LCNEC/carcinoid (n=1), and unspecified mixed LCNEC (n=10). Median PFS for chemo was 5 months (95% CI 2.7-9.2) vs. 6 months (95% CI 4.4-8.3) for chemoIO ( p=0.86). Median OS for chemo was 14.2 months (95% CI 10.4-22.5) vs. 17.2 months (95% CI 9.4-27.2) for chemoIO ( p=0.66). The ORR did not differ between chemo (n=18, 45%) and chemoIO (n=15, 48.4%) ( p=0.81). In the chemo group, 60% (n=25) experienced trAEs of any grade, with 23.8% (n=10) experiencing grade 3+ events and four requiring hospitalizations. For chemoIO pts, 61% (n=19) experienced trAEs, with 25.8% (n=8) experiencing grade 3+ events and six requiring hospitalizations. Neutropenia was the most common grade 3+ trAE for both chemo (n=5) and chemoIO (n=4). Overall, there were no significant differences between chemo or chemoIO groups for ORR ( p=0.81), all-grade trAEs ( p=0.88), grade 3+ trAEs ( p=0.84), PFS ( p=0.86), or median OS ( p=0.66). There were no significant differences in median PFS ( p=0.46) or OS ( p=0.99) for pts with mixed LCNEC/NSCLC vs. LCNEC/SCLC. Conclusions: For mixed LCNECs, there was no significant difference in PFS or OS between first-line treatment with chemo vs. chemoIO, suggesting limited benefit from immunotherapy for these pts. Additionally, survival outcomes did not differ between mixed LCNEC/NSCLC and LCNEC/SCLC, suggesting a biology primarily driven by their neuroendocrine component.

Real world outcomes of patients with small cell lung cancer (SCLC) presenting with brain metastasis at diagnosis in a single institution health system.

e20136 Background: Extensive-stage small cell lung cancer (ES-SCLC) is an aggressive lung cancer subtype with high propensity for brain metastases (mets). Despite this, there is no consensus on the treatment of brain mets especially in the setting of frontline chemoimmunotherapy and advanced radiation techniques like Gamma Knife radiosurgery (GKRS). Methods: In this single-institution retrospective study, we queried the Yale Tumor registry for all patients diagnosed with ES-SCLC in 1/2016-4/2023. Patients with brain mets at the time of presentation were identified and underwent manual chart review for abstraction of clinical information specifically pertaining to brain mets and treatment modalities. Survival outcomes including median progression free survival (mPFS), median central nervous system-progression free survival (mcPFS) and median overall survival (mOS) measured in months were also captured. Results: 423 ES-SCLC patients were identified. Of those, 92 (22%) had brain mets at initial presentation and were reviewed. 44 (48%) of patients with brain mets were treated with frontline chemotherapy (platinum doublet) while 42 (46%) were treated with chemoimmunotherapy (platinum doublet with atezolizumab or durvalumab). Patients treated with upfront chemotherapy had mPFS 6.4 (95% CI -1.2, 14.1), mcPFS 7.7 (95% CI -1.2, 17.1), and mOS 9.3 (95% CI -13.7, 36.4), compared to patients treated with chemoimmunotherapy, who had mPFS 4.9 (p=0.23; 95% CI -3.5, 15.4), mcPFS 6.7 (p=0.99; 95% CI 3.3, 20.8), and mOS 7.7 (p=0.89; 95% CI -11.4, 33.9). 63 (68%) of patients underwent upfront brain radiation. 44 (48%) had whole brain radiation (WBRT) while 19 (30%) underwent GKRS. Of the patients undergoing GKRS, 8 (42%) were symptomatic. 7 patients (37%) presented with 1 brain met, and 12 (63%) patients presented with 2-5 brain mets. For patients treated with GKRS, mPFS 6.8 (95% CI 2.3, 10.4), mcPFS 7.2 (95% CI 2.9, 12.6), and mOS 11.1 (95% CI -13.0, 40.9). For patients undergoing WBRT, mPFS 6.5 (p = 1.0; 95% CI -4.5, 20.2), mcPFS 6.5 (p = 0.96; 95% CI -3.9, 21.6), and mOS 8.6 (p = 0.21; 95% CI -17.7, 39.9). Conclusions: GKRS is a viable option for SCLC patients presenting with brain metastases, especially in those with a low number of mets. Further studies are required to determine the optimal ES-SCLC candidates for upfront GKRS. [Table: see text]

Exploring the Cause of Survival Disparities in EGFR-Mutated Lung Cancer Subtypes: Unraveling Distinctive Genomic and Phenotypic Features of 19Del and L858R Mutation Subtypes

Exploring the Cause of Survival Disparities in EGFR-Mutated Lung Cancer Subtypes: Unraveling Distinctive Genomic and Phenotypic Features of 19Del and L858R Mutation Subtypes

Patient-centered perspectives: Examining quality-of-life integration in phase III lung cancer trials (2019-2023).

e23181 Background: In the dynamic landscape of lung cancer treatment, marked by precision medicine advancements, addressing the persistent global health challenge of lung cancer requires nuanced evaluations beyond traditional endpoints like Overall Survival (OS). Aligned with the emphasis on patient-centered care, both the US FDA and ASCO advocate for consistent integration of Quality of Life (QoL) and Patient-Reported Outcomes (PRO). The FDA's 2021 guidance underscores standardized assessment strategies, and ASCO's conceptual framework highlights the pivotal role of QoL and PRO data in elucidating the genuine value of cancer treatment options. This investigation aims to illuminate the extent to which recent trials consider patients' subjective experiences without presupposing an impact on QoL. Methods: This systematic review analyzed PubMed for Phase III lung cancer clinical trials involving anticancer drugs conducted between 2019 and 2023 to assess if QoL was included as an endpoint. Subgroup analyses categorized trials by cancer subtype (e.g., non-small cell lung cancer [NSCLC], small cell lung cancer [SCLC]). Analyses were also stratified by publication year to explore potential temporal trends. The total prevalence of QoL as an endpoint was calculated across all lung cancer subtypes for the entire 5-year period. Subanalyses included impact factor categories (≥ 10 and &lt; 10) and differentiation between superiority and noninferiority trials. Results: The systematic analysis identified 191 Phase III lung cancer clinical trials published between 2019 and 2023, meeting the criteria. QoL was included in 31.93% of trials across all subtypes. Subgroup analyses showed that 33.72% of NSCLC trials incorporated QoL, with variations observed in early-stage resectable disease (26.31%) and unresectable advanced and metastatic cases (34.66%). For SCLC, 19.04% of trials included QoL, with none in the limited stage and 22.22% in the extensive stage. Stratified by publication year, 2019 had 33.33%, 2020 had 39.02%, 2021 had 33.33%, 2022 had 23.33%, and 2023 had 28.94% trials with QoL assessments. Stratification based on impact factor (IF) and trial type revealed 29.4% in Journals ≥10 IF, 35.6% in Journals &lt; 10 IF, 35.5% in superiority trials, and 21.6% in non-inferiority trials. Conclusions: Our analysis reveals a significant shortfall in incorporating QoL as an endpoint. Across all subtypes and stages, a limited percentage of trials included PRO, highlighting a crucial gap in evaluating the comprehensive impact of interventions. The underrepresentation of QoL assessments signals a need for greater attention to the holistic patient experience in lung cancer research. Moving forward, a more standardized and comprehensive integration of QoL assessments in Phase III trials is essential to enhance our understanding of treatment impact and inform more patient-centered care decisions.

Application of newly developed and validated LC-MS/MS method for pharmacokinetic study of adagrasib and pembrolizumab simultaneously in rat plasma

Non-small cell lung cancer (NSCLC) is a significant subtype of lung cancer, and poses a dangerous global threat. One of the current approaches of NSCLC treatment is a combination therapy of adagrasib and pembrolizumab. Accurate monitoring of these drug concentrations in biological fluids is critical for treatment efficacy. Since no method was reported for simultaneous estimation of these drugs, this study focuses on the development of a validated LC-MS/MS bioanalytical method for simultaneous quantification of Adagrasib and Pembrolizumab in rat plasma. The analytes were extracted from the biological matrix through liquid–liquid extraction techniques using acetonitrile as extraction solvent. The analytes were separated on a Waters X-bridge phenyl C18 column, with a mixture of acetonitrile: 0.1 % TFA in water (50: 50 v/v) as mobile phase at an isocratic flow rate of 1.0 mL/min with a runtime of about 5 min. Adagrasib (m/z 605.12 → 201.62), Pembrolizumab (m/z 146.32 → 85.15), and Sotorasib (m/z 561.59 → 218.92) were determined by recording the mass spectra through multiple reaction monitoring in positive mode. The method was validated according to USFDA guidelines. The results demonstrate satisfactory linearity with an r2 value of 0.9998 in the ranges of 40–800 and 10–200 ng/mL, accuracy with mean percentage recovery of 95.22–98.59 % and 96.98–98.57 %, precision indicated with %RSD ranged between 0.39–1.91 % and 0.85–9.03 % for Adagrasib and Pembrolizumab respectively, and other key parameters. The developed method can determine the pharmacokinetic parameters to indicate the efficacy and safety of the drugs, and also can quantify selected drugs simultaneously in biological samples.

Metformin is a potential therapeutic for COVID-19/LUAD by regulating glucose metabolism

Lung adenocarcinoma (LUAD) is the most common and aggressive subtype of lung cancer, and coronavirus disease 2019 (COVID-19) has become a serious public health threat worldwide. Patients with LUAD and COVID-19 have a poor prognosis. Therefore, finding medications that can be used to treat COVID-19/LUAD patients is essential. Bioinformatics analysis was used to identify 20 possible metformin target genes for the treatment of COVID-19/LUAD. PTEN and mTOR may serve as hub target genes of metformin. Metformin may be able to cure COVID-19/LUAD comorbidity through energy metabolism, oxidoreductase NADH activity, FoxO signalling pathway, AMPK signalling system, and mTOR signalling pathway, among other pathways, according to the results of bioinformatic research. Metformin has ability to inhibit the proliferation of A549 cells, according to the results of colony formation and proliferation assays. In A549 cells, metformin increased glucose uptake and lactate generation, while decreasing ATP synthesis and the NAD+/NADH ratio. In summary, PTEN and mTOR may be potential targets of metformin for the treatment of COVID-19/LUAD. The mechanism by which metformin inhibits lung adenocarcinoma cell proliferation may be related to glucose metabolism regulated by PI3K/AKT signalling and mTOR signalling pathways. Our study provides a new theoretical basis for the treatment of COVID-19/LUAD.

Trends in lung cancer survival in the Nordic countries 1990–2016: The NORDCAN survival studies

ObjectivesThe aim of this study was to evaluate if the previously reported improvements in lung cancer survival were consistent across age at diagnosis and by lung cancer subtypes. Materials and methodsData on lung cancers diagnosed between 1990 and 2016 in Denmark, Finland, Iceland, Norway and Sweden were obtained from the NORDCAN database. Flexible parametric models were used to estimate age-standardized and age-specific relative survival by sex, as well as reference-adjusted crude probabilities of death and life-years lost. Age-standardised survival was also estimated by the three major subtypes; adenocarcincoma, squamous cell and small-cell carcinoma. ResultsBoth 1- and 5-year relative survival improved continuously in all countries. The pattern of improvement was similar across age groups and by subtype. The largest improvements in survival were seen in Denmark, while improvements were comparatively smaller in Finland. In the most recent period, age-standardised estimates of 5-year relative survival ranged from 13% to 26% and the 5-year crude probability of death due to lung cancer ranged from 73% to 85%. Across all Nordic countries, survival decreased with age, and was lower in men and for small-cell carcinoma. ConclusionLung cancer survival has improved substantially since 1990, in both women and men and across age. The improvements were seen in all major subtypes. However, lung cancer survival remains poor, with three out of four patients dying from their lung cancer within five years of diagnosis.