Non-small Cell Lung Cancer Cohort Research Articles

TRIM11 expression in non-small cell lung cancer is associated with poor prognosis.

Despite promising results of targeted therapy approaches, non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related death. Tripartite motif containing 11 (TRIM11) is part of the TRIM family of proteins, playing crucial roles in tumor progression. TRIM11 serves as an oncogene in various cancer types and has been reported to be associated with a poor prognosis. In this study, we aimed to investigate the protein expression of TRIM11 in a large NSCLC cohort and to correlate its expression with comprehensive clinico-pathological data. Immunohistochemical staining of TRIM11 was performed on a European cohort of NSCLC patients (n=275) including 224 adenocarcinomas and 51 squamous cell carcinomas. Protein expression was categorized according to staining intensity as absent, low, moderate and high. To dichotomize samples, absent and low expression was defined as weak and moderate and high expression was defined as high. Results were correlated with clinico-pathological data. TRIM11 was significantly more highly expressed in NSCLC than in normal lung tissue and significantly more highly expressed in squamous cell carcinomas than in adenocarcinomas. We found a significantly worse 5-year overall survival for patients who highly expressed TRIM11 in NSCLC. High TRIM11 expression is linked with a poor prognosis and might serve as a promising novel prognostic biomarker for NSCLC. Its assessment could be implemented in future routine diagnostic workup.

Combinatorial Checkpoint Blockade and Laser Interstitial Thermal Therapy: A Single Center Study

INTRODUCTION: Immune checkpoint blockade (ICB) has gained acceptance as a life-extending therapy in a variety of solid tumor types. For patients with brain metastases, combination stereotactic radiosurgery (SRS) and ICB remains an area of clinical equipoise. Similarly, for recurrent or difficult-to-access intracranial lesions, safety and synergy of laser interstitial thermal therapy (LITT) and ICB has yet to be explored. METHODS: In accordance with an IRB-approved protocol, all patients undergoing LITT at a tertiary center from 2015-2022 were retrospectively reviewed. Patients who received ICB within 6 weeks of LITT were included in the LITT + ICB cohort. Demographic, clinical, and survival data were collected. RESULTS: Combination LITT and ICB occurred in 25 patients with clinically recurrent tumors. The median cohort age was 62 (40-78) and 12 (48%) were female. The median KPS was 80 (50-100). The most common primary pathology was non-small cell lung cancer (NSCLC) in 15 patients (60%), followed by melanoma in 3 (12%); two high-grade gliomas were additionally treated. The majority of the cohort (24 patients, 96%) recieved single agent ICB in combination with LITT, with pembrolizumab (12, 48%) and nivolumab (6, 24%) most common. Median duration between ICB dosing and LITT was 2.85 (0.85-5.84) weeks. Ten patients (40%) had evidence of immune-related adverse events attributable to ICB, with only 1 event > grade 3 according to Common Terminology Criteria; 17 (68%) had a pre-LITT steroid requirement. Intracranial adverse events related to LITT were rare, with median overall survival for the cohort of 8.6 months (1.4-26.4 months). CONCLUSIONS: Combination LITT and ICB appears safe and feasible. No prospective studies have compared cytoreduction with LITT to LITT + ICB; construction of a matched NSCLC cohort is ongoing. Exploration of the immune consequences of LITT + ICB is needed.

Association of Baseline Tumor-Specific Neoantigens and CD8+ T-Cell Infiltration With Immune-Related Adverse Events Secondary to Immune Checkpoint Inhibitors.

Recent evidence has shown that higher tumor mutational burden strongly correlates with an increased risk of immune-related adverse events (irAEs). By using an integrated multiomics approach, we further studied the association between relevant tumor immune microenvironment (TIME) features and irAEs. Leveraging the US Food and Drug Administration Adverse Event Reporting System, we extracted cases of suspected irAEs to calculate the reporting odds ratios (RORs) of irAEs for cancers treated with immune checkpoint inhibitors (ICIs). TIME features for 32 cancer types were calculated on the basis of the cancer genomic atlas cohorts and indirectly correlated with each cancer's ROR for irAEs. A separate ICI-treated cohort of non-small-cell lung cancer (NSCLC) was used to evaluate the correlation between tissue-based immune markers (CD8+, PD-1/L1+, FOXP3+, tumor-infiltrating lymphocytes [TILs]) and irAE occurrence. The analysis of 32 cancers and 33 TIME features demonstrated a significant association between irAE RORs and the median number of base insertions and deletions (INDEL), neoantigens (r = 0.72), single-nucleotide variant neoantigens (r = 0.67), and CD8+ T-cell fraction (r = 0.51). A bivariate model using the median number of INDEL neoantigens and CD8 T-cell fraction had the highest accuracy in predicting RORs (adjusted r2 = 0.52, P = .002). Immunoprofile assessment of 156 patients with NSCLC revealed a strong trend for higher baseline median CD8+ T cells within patients' tumors who experienced any grade irAEs. Using machine learning, an expanded ICI-treated NSCLC cohort (n = 378) further showed a treatment duration-independent association of an increased proportion of high TIL (>median) in patients with irAEs (59.7% v 44%, P = .005). This was confirmed by using the Fine-Gray competing risk approach, demonstrating higher baseline TIL density (>median) associated with a higher cumulative incidence of irAEs (P = .028). Our findings highlight a potential role for TIME features, specifically INDEL neoantigens and baseline-immune infiltration, in enabling optimal irAE risk stratification of patients.

Abstract 1169: Increased immunotherapy sensitivity associated with damaging IFN-gamma pathway mutations in NSCLC

Abstract Introduction: In vivo CRISPR screens across multiple murine models of malignancy revealed that loss of interferon gamma (IFN-γ)-mediated sensing predisposes to immune elimination. We assessed the association between damaging mutations in the IFN-γ pathway and clinical outcomes after immune checkpoint inhibition in the Stand Up to Cancer-Mark Foundation non-small cell lung cancer (NSCLC) cohort. Methods: The sensitizing IFN-γ pathway genes were defined as IFNGR1, IFNGR2, JAK1, JAK2, STAT1, IRF1 & IRF9. Damaging mutations (including missense mutations) in any of these genes was considered as loss of pathway activity. We used the best observed response (measured by RECIST v1.1 criteria across time points) to define outcome. Complete and partial response were categorized as responses (R), while stable and progressive disease were categorized as non-responses (NR). The percentage change in target lesions (CTL) was also assessed. Response data was analyzed using additive logistic (LogR) and linear regression (LinR). Overall survival (OS) and progression-free survival (PFS) were analyzed using Cox proportional-hazards models. Three predictor variable groups were established; the final models comprised IFN-γ pathway loss, tumor mutational burden (TMB), programmed death-ligand 1 (PD-L1) tumor proportion score (TPS), prior platinum chemotherapy, age, sex, histological subtype, initial tumor stage, and smoking pack years. Results: 309 patients had evaluable whole-exome sequencing data, treatment with PD-(L)1 inhibitor regimens, and matched radiological responses (121 R [39%], 188 NR [61%]); 306 had matched OS data; 297 had matched PFS data; and 227 had matched CTL data. 27 (7%) patients had damaging mutations in the IFN-γ pathway [IFNGR1 (3); IFNGR2 (1); JAK1 (6); JAK2 (8); STAT1 (3); IRF1 (1); IRF9 (3); and JAK2 & IRF9 (1)]. Significant relationships were observed in univariable models between IFN-γ pathway loss and both response (LogR: OR 0.17, p=2 × 10−4*; LinR: OR 0.70, p=4.8 × 10−4*) and survival (PFS: HR 0.45, p=0.0067*; OS: HR 0.51, p=0.037*). IFN-γ pathway loss is significantly associated with TMB (p=9.7 × 10−8*, Wilcoxon signed rank test). Multivariable models incorporating TMB and PD-L1 TPS confirmed the significance of IFN-γ pathway loss in both response (LogR: OR 0.29, p=0.050*; LinR: OR 0.71, p=0.0052*) and survival (PFS: HR 0.37, p=0.036*; OS: HR 0.27, p=0.030*). These relationships persisted in the final multivariable models (LogR: OR 0.32, p=0.11; LinR: OR 0.69, p=0.012*; PFS: HR 0.39, p=0.068; OS: HR 0.15, p=0.0038*). Random gene sets, of similar total protein coding sequence length, significantly associated with TMB but not with multivariable models of response or survival. Conclusion: In this NSCLC cohort, damaging IFN-γ pathway mutations associate with increased immunotherapy sensitivity, independently of TMB and other co-variates, as evidenced by multiple clinical outcomes. Citation Format: Alexander Azizi, Arvind Ravi, Natalie Vokes, Stephen-John Sammut, Justin Gainor, Gad Getz. Increased immunotherapy sensitivity associated with damaging IFN-gamma pathway mutations in NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1169.

Abstract 2490: Quantification of tumor fraction and outcomes association in a real-world non-small cell lung cancer (NSCLC) cohort using a tissue agnostic epigenomic circulating tumor DNA (ctDNA) assay

Abstract Background: The validity of ctDNA assays for evaluating molecular response to therapy by measuring changes in variant allele fraction (VAF) while on treatment is well established, but they are prone to limitations such as low ctDNA levels and interference from copy number variation and clonal hematopoeisis (CH), which may be overcome by methylation-based quantification. ctDNA levels may be monitored throughout a patient's (pts) journey to indicate when relapse or progression is present, often sooner than current methods (RECIST). Here we describe the performance of a methylation-based ctDNA assay to quantify ctDNA levels and correlate changes with outcomes in a real-world NSCLC cohort. Methods: RADIOHEAD is a pan-tumor observational study of 1200 patients on standard of care ICI treatment regimens with plasma samples collected prospectively for retrospective analysis. We randomly selected 241 NSCLC pts that have a combined total of 761 samples (236 baseline, 191 C3D1, and 128 at 6 months post first dose). Samples were analyzed using a commercial NGS assay, which quantifies circulating tumor fraction (cTF) via interrogating thousands of methylation sites from ctDNA, validated with LoB, LoD, LoQ, and linearity studies. Cox proportional hazards (CPH) were used for comparison of real-world progression free survival (rwPFS). Gender, age, disease stage, and blood-assessed tumor mutational burden (bTMB) were included as covariates. Median rwPFS was calculated using Kaplan Meier analysis. rwPFS ordinal groups were defined as PFS event within 3mo, 3-6mo, 6-12mo, and greater than 12mo, and association with early ctDNA changes was assessed with a chi-squared test. Results: In this cohort, 4, 11, 83 and 142 pts were stage I to IV, respectively (1 unknown). Methylation based detection of ctDNA at baseline or C3D1 was associated with shorter rwPFS (baseline: mPFS 12.7 mo [9.3-19.5] vs NR [16.4-NR]; HR=2.2 [1.3-3.7] p<0.005, C3D1: mPFS 12.4 mo [9.3-16.1] vs NR [19.5-NR] HR= 2.2 [1.3-3.5], p<0.005) independent of stage, gender, or age. Longer rwPFS was associated with >95% reduction in cTF from baseline to C3D1 or low ctDNA at both timepoints (rwPFS <3mo = 12.5%, 3-6 mo = 30.8%, 6-12 = 37.1%, ≥12 mo = 55.3%; N=153, p=0.015). For pts with ctDNA not detected at C3D1, ctDNA detection at 6 months post first dose was strongly associated with shorter rwPFS (mPFS 13.5 mo [9.5-NR] vs. NR [19.5-NR]; HR= 6.2 [1.9-20.1], p<0.005). Conclusions: These data demonstrate a significant association of ctDNA detection via methylation-based cTF and on-treatment changes in cTF with rwPFS. Furthermore, subsequent cTF detection 6-months on-treatment, without cTF detected early on-treatment was associated with worse outcomes, suggesting the value of serial monitoring to improve identification of patients likely to progress. Citation Format: Sara Wienke, Sean Gordon, Samantha Liang, Jing Wang, Reagan Barnett, Kyle Chang, Shile Zhang, Carin R. Espenschied, Katie Quinn, Kimberly Banks. Quantification of tumor fraction and outcomes association in a real-world non-small cell lung cancer (NSCLC) cohort using a tissue agnostic epigenomic circulating tumor DNA (ctDNA) assay [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2490.

Abstract 946: Landscape of HRD aberration in EGFR mutated lung cancer and the role of PARP-inhibitor in EGFR mutated lung cancer with HRD aberration

Abstract Introduction: Olaparib, an oral poly polymerase (PARP) inhibitor has received approval for treating malignancies displaying homologous recombination deficiency (HRD). Current data is insufficient in establishing the role of PARP inhibitors in non-small cell lung cancer (NSCLC) in the setting of third generation EGFR tyrosine kinase inhibitor (TKI) use. Preclinical investigation suggests heightened PARP inhibitor sensitivity of TKI-resistant EGFR mutant NSCLC cells compared to TKI-sensitive cells. Methods: We utilized The Cancer Genome Atlas (TCGA) to investigate the prevalence of HRD gene mutations in patients with NSCLC harboring EGFR mutations. We also present a case demonstrating a favorable response to the dual therapy of olaparib and osimertinib in NSCLC harboring EGFR, RAD50, and ARID1A mutations that progressed on osimertinib. Results: There were 2298 patients in the NSCLC cohort (MSKCC database). Among 687 patients with EGFR mutations, 24 patients (3.5%) exhibited ARID1A mutations, 8 patients (1.2%) had BRCA1 mutations, 11 patients (1.6%) had BRCA2 mutations, and 5 (0.7%) had RAD50 mutations. A 71-year-old female presented with stage IV adenocarcinoma of the lung. She had recurrent malignant pericardial effusion requiring pericardiocentesis for previous cardiac tamponade. Computed tomography (CT) of the chest revealed a 3cm irregular left hilar mass with bilateral mediastinal and hilar lymph nodes. Tissue next generation sequencing (NGS) at baseline identified EGFR exon19 deletion along with RAD50 R726H which is a HRD pathway gene. Circulating tumor DNA (ct-DNA) NGS (Guardant360) showed EGFR E746_A750del 4.8%. The patient achieved partial response to osimertinib for 28 months. Follow-up CT showed disease progression. Olaparib 200mg twice daily was added to osimertinib based on repeat ct-DNA NGS indicating a new ARID1A alteration (splice site SNV) along with the known BRCA1 mutation. Follow up scans currently have consistently demonstrated ongoing partial response for 19 months. Combining olaparib with osimertinib can be effective in an osimertinib-resistant NSCLC patient with EGFR mutation and HRD aberration. The favorable response could be attributed not only to pre-existing RAD50 mutation but also to acquired mutations in ARID1A HRD genes. Conclusion: HRD aberrations are uncommon in EGFR mutated lung cancer patients. Further investigation on the role of PARP inhibitor in EGFR mutated lung cancer is warranted. Citation Format: Jinah Kim, Horyun Choi, Liam Il-Young Chung, Young Kwang Chae. Landscape of HRD aberration in EGFR mutated lung cancer and the role of PARP-inhibitor in EGFR mutated lung cancer with HRD aberration [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 946.

Abstract 3634: Copy number alterations in chromosome 19 genes associate with reduced immune infiltrate and adverse outcomes in lung cancer

Abstract Deleterious mutations in STK11/LKB1, KEAP1, and SMARCA4 have been shown to be associated with adverse response to immunotherapy in several lung cancer cohorts. However, the biological and clinical implications of deletions of these genes, which all reside on chromosome 19p (chr19p), has not been extensively described. We sought to first characterize the association between immune infiltration and these copy number changes in chr19p. To do this, we analyzed mutation, copy number, and gene expression data from non-small cell lung cancer cohorts in the Cancer Genome Atlas (TCGA). Chr19p is frequently deleted across cancers in the TCGA dataset, with higher rates in lung adenocarcinoma. In both lung adenocarcinoma and squamous cell carcinoma, nearly half of TCGA tumors have deletion of chr19p including STK11, KEAP1, and SMARCA4, and these tumors are enriched for STK11 mutation. Immune infiltrate (estimated by methylation patterns) was not significantly associated with STK11 mutation but was significantly reduced in tumors with chr19 deletion when controlling for tumor type and overall copy number load. In addition, low-level deletion of any of these genes correlated with decreased expression of immune signaling pathways. Based on these findings, we next wanted to characterize the association between chr19p copy number and immunotherapy response. We previously reported that low-level deletion of STK11 correlated with an immunosuppressive, treatment-refractory phenotype in samples collected from non-small cell lung cancer (NSCLC) patients with resectable disease in a phase II study of neoadjuvant atezolizumab + chemotherapy. To confirm these findings in a larger cohort, we examined the AACR GENIE NSCLC biopharma collective (BPC) dataset. A subset of this cohort included patients treated with immunotherapy (atezolizumab, nivolumab, and/or pembrolizumab) and with copy number data available or GISTIC analysis of individual genes (n = 204). Here, deletion of any of these three genes correlated with worse overall survival, and this was statistically significant for STK11 deletion. Overall, our data suggests that a broader set of patients, defined by copy number changes in these genes, may experience this adverse immunobiology. Further study to elucidate the mechanistic implications of this association is warranted. Citation Format: Brian S. Henick, Yohanna Georgis, Benjamin O. Herzberg, Carla P. Concepcion-Crisol, Alison M. Taylor. Copy number alterations in chromosome 19 genes associate with reduced immune infiltrate and adverse outcomes in lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3634.

Abstract 208: FGFR2 splice variant as a cell fate adjudicator determines clinical outcomes in non-small cell lung cancer

Abstract The splice variants specific protein expression in tumor cells presents promising targets for cancer therapy. The concept is supported by the recent introduction of the splice variant-specific antibody against FGFR2 IIIb (FGFR2b) in gastric cancer. Indeed, signaling of the two FGFR2 splice variants FGFR2b and FGFR2 IIIc (FGFR2c), whose expression is mutually exclusive on a cellular level, is mediated by different ligands and distinct downstream responses that can contribute to many aspects of tumorigenesis. Our study aimed to characterize the expression FGFR2b and 2c in non-malignant lung and non-small cell lung cancer (NSCLC) tissue and relate splice variant-specific expression to the histological and molecular background of cancer and its clinical impact.FGFR2b/FGFR2c isoforms expression was determined in RNA-seq data from 180 NSCLC patients and 19 tissues from normal lung (patient-matched). Cell-type specific expression and pan-cancer analysis of FGFR2 were explored using a public database, including DBTSS (NSCLC: 26, normal lung epithelium: 1, normal lung fibroblast 1) and CCLE (Total: 1019, NSCLC: 131), GTEx (normal lung tissue: 578) and HPA (scRNAseq for lung).Our results confirm a cell-specific expression in normal cells with dominance of FGFR2b in epithelial cells and FGFR2c in mesenchymal cells. In normal lung tissue, the FGFR2b variant showed high abundance. Pan-cancer analysis revealed FGFR2c dominant cancers (e.g., CNS tumors, kidney, liver) as well as FGFR2b dominant cancer types (e.g., breast, colon, lung cancer). The RNAseq data from our NSCLC cohort showed a chief expression of FGFR2b in 116 cases (64%), FGFR2c in 31 cases (17%), and a mixed FGFR2c/FGFR2b transcriptomics (18%). The ratio of FGFR2b/FGFR2c as a metric for splice variant dominance was associated with squamous histology, higher stage, and KRAS mutations. Differential gene expression analysis of cancer tissue and cell lines revealed an association of the splice variant FGFR2c to epithelial-mesenchymal transition (EMT) and the regulation of genes (ZEP1, ERSP1, CDH1) involved in the TGF-beta signal pathway. Finally, the ratio of FGFR2b/FGFR2c demonstrated a strong association with overall survival in NSCLC patients with the FGFR2c variant as unfavorable predictors (High vs low ratio, p = 0.01). Our study indicates cell-specific splice variant expression in non-malignant and malignant cells. The prognostic unfavorable impact of the FGFR2c variant on NSCLC patient survival might be explained by its association with TGF signaling and EMT. The observed clinical and biological difference between FGFR2b and FGFR2c dominated cancers gives further rationale to exploit splice variants as therapeutical targets. Citation Format: Hui Yu, Masafumi Horie, Amanda Lindberg, Max Backman, Neda Hekmati, Johanna Mattsson, Naoya Miyashita, Hans Brunnström, Fredrik Ponten, Akira Saito, Carina Strell, Patrick Micke. FGFR2 splice variant as a cell fate adjudicator determines clinical outcomes in non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 208.

Abstract 5139: PD1-PDL1 interaction as a superior predictor for response to immune checkpoint therapy in NSCLC patients

Abstract Background: Immune checkpoint therapies (ICT) are now widely introduced in clinical oncology and most often guided by PDL1 expression in diagnostic biopsies. However, the predictive value of this testing is only modest, leading to over- and undertreatment. Conceptually, the prevention of binding of ligand PDL1 to PD1 receptor is decisive for the efficacy of ICT. Therefore, directly detecting the spatial PD1-PDL1 interaction would provide more predictive information. Methods: A second-generation in situ proximity ligation assay (isPLA; Navinci Diagnostics) was established to detect PD1-PD-L1 interactions in diagnostic patient samples and linked to an automated analysis pipeline (QuPath). For basic validation, we used pan-cancer tissue microarrays (TMA) including 16 solid tumor types, and a non-small cell lung cancer (NSCLC) TMA (359 ICT-naïve surgically treated patients). In addition, we analyzed diagnostic tissue biopsies from 75 advanced NSCLC patients treated with anti-PD1-PDL1 regiments. Results: The pan-cancer analysis revealed varying levels of PD1-PDL1 interaction among the solid cancer types, with the lowest levels detected in liver cancer and the highest in testicular cancer. A general positive association was observed between the literature-reported objective ICT response rate (ORR) per tumor type and its corresponding PD1-PDL1 interaction status. Conventional immunohistochemical analysis of the ICT-naïve, surgically treated NSCLC cohort revealed variable protein expression level for both, PDL1 and PD1, for 200 cases, but only 108 (54%) of them demonstrated a detectable PD1-PDL1 interaction with our isPLA assay. EGFR mutated cases showed generally lower PD1-PDL1 interaction scores (p=0.01). PD1-PDL1 interaction was not associated with survival (p=0.46). A subsequent analysis of the ICT-NSCLC cohort revealed a significant positive association between PD1-PDL1 interaction status and prolonged overall survival upon ICT (median survival 14.8 vs 32.3 months; p=0.022). The standard tumor proportional score (TPS) of membranous PDL1 expression did not correlate with ICT-specific survival (p=0.40). Conclusions: The second generation isPLA successfully distinguishes a previously difficult-to-define patient subset with positive PD1-PDL1 interaction status. Our data suggest that the PD1-PDL1 interaction is a superior clinical biomarker for patient selection for ICT in NSCLC. The interaction analysis is applicable to sections from minute diagnostics biopsies and accessible by light microscopy either semi-quantitatively by a pathologist or by an automated image analysis program. Thus, the assay holds great potential to be integrated into routine clinical pathological workflow to stratify cancer patients for ICT. Citation Format: Patrick Micke, Amanda Lindberg, Rebecca Artursson, Louise Hellberg, Hui Yu, Max Backman, Johan Botling, Hans Brunnström, Artur Mezheyeuski, Johan Isaksson, Carina Strell. PD1-PDL1 interaction as a superior predictor for response to immune checkpoint therapy in NSCLC patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5139.

Abstract 2543: Evaluating biomarkers of immunotherapy response in a real-world metastatic NSCLC cohort

Abstract Background: Non-small cell lung cancer (NSCLC) is the leading cause of global cancer deaths, since a large proportion of cases are initially diagnosed at advanced stages. Therapeutic developments have shifted first-line (1L) therapy in the metastatic setting to immunotherapy (IO)-based regimens, albeit with heterogeneity in response. Patients harboring KEAP1 and STK11 mutations have been reported to exhibit both poorer outcomes and IO treatment resistance. Recent work suggests gene expression signatures which characterize mutant phenotypes may better identify those with compromised IO response. Leveraging a molecular real-world dataset of metastatic NSCLC patients treated with 1L IO, we aimed to evaluate gene expression signatures representing KEAP1 and STK11-mutated phenotypes and their impact on real-world outcomes. Methods: Metastatic NSCLC patients who received 1L anti-PD(L)1 as a monotherapy or in combination were identified from the multimodal real-world database of Tempus Labs, Inc. All patients in the analytical cohort had tissue biopsies sequenced on Tempus targeted DNA and whole transcriptome RNA assays within 90 days prior to the start of the 1L IO regimen. Patients were negative for actionable mutations with record duration of at least 30 days from 1L initiation. KEAP1 and STK11 mutants were identified with likely pathogenic and/or pathogenic mutations as annotated by Tempus bioinformatic pipelines. Gene expression signatures related to these mutations were obtained from recently published literature. Evaluation of mutations or signatures as genomic markers for IO non-response were conducted using real-world progression-free survival (rwPFS) and overall survival (rwOS). Results: A total of 332 patients were included in the study (45% IO monotherapy, 55% IO combination therapy). Previously validated biomarkers, including tumor mutation burden, T-cell inflamed GEP signature, and PD(L)1 expression, were associated with prolonged rwPFS. KEAP1 mutations were observed in 9% of analytical cohort with a higher proportion in non-squamous (11%) compared with squamous (4%) samples. For STK11, 10% were identified as mutants with a similar histology distribution (12% vs. 3%). Neither KEAP1 mutations nor related gene signatures evaluated in this study were significantly associated with real-world survival outcomes. Patients harboring STK11 mutations trended towards poor outcomes; furthermore, those with higher STK11 inactivation signature score were associated with shorter rwPFS and rwOS. Conclusions: STK11 inactivation phenotype described by a gene expression signature was able to distinguish patients with significantly poorer survival outcomes. This finding would need validation in independent cohorts. This real-world cohort study adds supporting evidence for the utility of gene expression signatures encompassing mutant phenotypes for patient stratification. Citation Format: Katherina C. Chua, Assieh Saadatpour, Ariel Chen, Aisha Hasan, Bevan Emma Huang, Stewart Bates. Evaluating biomarkers of immunotherapy response in a real-world metastatic NSCLC cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2543.

Durvalumab in combination with chemoradiotherapy for patients with unresectable stage III non-small-cell lung cancer: Results from the phase 1 CLOVER study

IntroductionFor patients with unresectable, stage III non-small-cell lung cancer (NSCLC), current standard of care is concurrent chemoradiotherapy (cCRT) followed by consolidation durvalumab. However, earlier initiation of durvalumab simultaneously with cCRT may increase antitumor activity relative to initiation after cCRT. The phase 1 CLOVER study (NCT03509012) evaluated durvalumab combined with cCRT in patients with advanced solid tumors; we report findings from the NSCLC cohort. MethodsCLOVER comprised a dose-limiting toxicity (DLT) assessment part, followed by an expansion part. In the NSCLC cohort, patients with previously untreated, unresectable, stage III NSCLC were enrolled in three treatment arms: durvalumab every 4 weeks (Q4W) + cisplatin + etoposide + radiotherapy (Arm 1); durvalumab Q4W + carboplatin + paclitaxel + radiotherapy (Arm 2); or durvalumab Q4W + carboplatin or cisplatin + pemetrexed + radiotherapy (non-squamous histology only; Arm 3). Patients received durvalumab until disease progression or unacceptable toxicity. The primary endpoint was safety and tolerability. ResultsSixty-four patients were enrolled: 21, 22, and 21 in Arms 1, 2, and 3, respectively. One patient in Arm 1 had DLT (grade 3 aspartate aminotransferase increase and grade 4 alanine aminotransferase increase); no DLTs were observed in Arms 2 or 3. Grade 3/4 adverse events occurred in 76.6 % of patients overall; the most common were neutropenia (51.6 %), leukopenia (20.3 %), and anemia (17.2 %). In a post-hoc analysis, 7.8 % of patients had grade 3 pneumonitis/radiation pneumonitis (grouped term) events. Overall, the objective response rate was 60.9 % (95 % confidence interval [CI], 47.9–72.9); median duration of response was 15.8 months (95 % CI, 9.0–not estimable [NE]). Median progression-free survival was 13.4 months (95 % CI, 8.8–20.1) and median overall survival was not reached (95 % CI, 21.9–NE). ConclusionDurvalumab in combination with cCRT was well tolerated, with a manageable safety profile and showed encouraging antitumor activity in patients with unresectable, stage III NSCLC.

Identification of gene variation feature for targeted therapy of non-small cell lung cancer through combined method of DNA and RNA sequencing

Next generation sequencing (NGS) is typically used to reveal tumor gene variation feature for targeted therapy of various types of human cancers, including non-small cell lung cancer (NSCLC). Here, we report the role and potential applicable value of combining DNA and RNA sequencing in gene variation detection in NSCLC. 386 NSCLC patients with stage II-IV were enrolled and detected using NGS sequencing of DNA and RNA panels that covered all well-documented target driver genes from the Chinese Society of Clinical Oncology (CSCO). The rate of epidermal growth factor receptor (EGFR) single nucleotide variation (SNV)/indel, mesenchymal-epithelial transition factor (MET) copy number variation (CNV) and anaplastic lymphoma kinase (ALK) fusion were 52.1%, 4.1% and 6.0% in the NSCLC cohort. The landscapes of SNV/indel, CNV and gene fusion in the cohort were depicted as well. Meanwhile, we assessed detection efficacy of DNA and RNA sequencing in gene fusion. Detected number and types of gene fusion using the RNA sequencing were better than those using the DNA sequencing. Gene fusion with intergenic region was only detected by DNA sequencing and MET exon 14 skipping (METΔex14) was more easily identified by RNA sequencing. Finally, we investigated clinical correlations of SNV/indel/CNV/fusion with clinicopathologic features in the NSCLC cohort. Taken together, RNA sequencing significantly complements deficiency of DNA sequencing for gene fusion, which cooperatively presents comprehensive and reliable gene variation features and facilitate the identification of potential drug targets for NSCLC patients.

Diagnostic and prognostic value of serum soluble B7-H3 in nonsmall cell lung cancer.

The aim of this study was to investigate the utility of serum soluble B7-H3 (sB7-H3) as a diagnostic marker for early-stage nonsmall cell lung cancer (NSCLC) and its potential for evaluating the prognosis of patients with advanced-stage NSCLC. In this study, an ELISA was employed to detect the expression levels of sB7-H3 in a cohort of patients diagnosed with NSCLC ( n = 122) and a control group ( n = 42) during the same observation period. Comparative analyses were conducted to ascertain the variations in sB7-H3 concentrations between the NSCLC cohort and the healthy control group, as well as across pathological types and the presence and absence of lymph node metastasis. (1) The concentration of sB7-H3 in patients diagnosed with NSCLC exhibited a statistically significant increase compared to that observed in the healthy control group ( P < 0.05). Elevated expression levels of sB7-H3 demonstrated a significant correlation with pathological type, lymph node metastasis, tumor, node and metastasis stage and programmed cell death ligand (PD-L1) expression ( P < 0.05). (2) The diagnostic utility of sB7-H3 for the diagnosis of NSCLC and the heightened expression of PD-L1 demonstrated high levels of sensitivity and specificity. (3) Elevated levels of sB7-H3 emerged as an independent risk factor impacting the overall survival of patients diagnosed with advanced NSCLC. The findings of this study suggest that sB7-H3 holds promise as a diagnostic tool for early-stage NSCLC. The elevated expression of sB7-H3 appears to serve as a reliable indicator for assessing the prognosis of patients diagnosed with advanced NSCLC.

Longitudinal plasma proteomic analysis identifies biomarkers and combinational targets for anti-PD1-resistant cancer patients

The response rate of anti-PD1 therapy is limited, and the influence of anti-PD1 therapy on cancer patients is unclear. To address these challenges, we conducted a longitudinal analysis of plasma proteomic changes with anti-PD1 therapy in non-small cell lung cancer (NSCLC), alveolar soft part sarcoma (ASPS), and lymphoma patients. We included 339 plasma samples before and after anti-PD1 therapy from 193 patients with NSCLC, ASPS, or lymphoma. The plasma proteins were detected using data-independent acquisition-mass spectrometry and customable antibody microarrays. Differential proteomic characteristics in responders (R) and non-responders (NR) before and after anti-PD1 therapy were elucidated. A total of 1019 proteins were detected using our in-depth proteomics platform and distributed across 10–12 orders of abundance. By comparing the differential plasma proteome expression between R and NR groups, 50, 206, and 268 proteins were identified in NSCLC, ASPS, and lymphoma patients, respectively. Th17, IL-17, and JAK-STAT signal pathways were identified upregulated in NR group, while cellular senescence and transcriptional misregulation pathways were activated in R group. Longitudinal proteomics analysis revealed the IL-17 signaling pathway was downregulated after treatment. Consistently, many proteins were identified as potential combinatorial therapeutic targets (e.g., IL-17A and CD22). Five noninvasive biomarkers (FLT4, SFTPB, GNPTG, F5, and IL-17A) were further validated in an independent lymphoma cohort (n = 39), and another three noninvasive biomarkers (KIT, CCL3, and TNFSF1) were validated in NSCLC cohort (n = 76). Our results provide molecular insights into the anti-PD1 therapy in cancer patients and identify new therapeutic strategies for anti-PD1-resistant patients.

Cancer testis antigen burden (CTAB): a novel biomarker of tumor-associated antigens in lung cancer

BackgroundCancer-testis antigens (CTAs) are tumor antigens that are normally expressed in the testes but are aberrantly expressed in several cancers. CTA overexpression drives the metastasis and progression of lung cancer, and is associated with poor prognosis. To improve lung cancer diagnosis, prognostic prediction, and drug discovery, robust CTA identification and quantitation is needed. In this study, we examined and quantified the co-expression of CTAs in lung cancer to derive cancer testis antigen burden (CTAB), a novel biomarker of immunotherapy response.MethodsFormalin fixed paraffin embedded (FFPE) tumor samples in discovery cohort (n = 5250) and immunotherapy and combination therapy treated non-small cell lung cancer (NSCLC) retrospective (n = 250) cohorts were tested by comprehensive genomic and immune profiling (CGIP), including tumor mutational burden (TMB) and the mRNA expression of 17 CTAs. PD-L1 expression was evaluated by IHC. CTA expression was summed to derive the CTAB score. The median CTAB score for the discovery cohort of 170 was applied to the retrospective cohort as cutoff for CTAB “high” and “low”. Biomarker and gene expression correlation was measured by Spearman correlation. Kaplan–Meier survival analyses were used to detect overall survival (OS) differences, and objective response rate (ORR) based on RECIST criteria was compared using Fisher’s exact test.ResultsThe CTAs were highly co-expressed (p < 0.05) in the discovery cohort. There was no correlation between CTAB and PD-L1 expression (R = 0.011, p = 0.45) but some correlation with TMB (R = 0.11, p = 9.2 × 10–14). Kaplan–Meier survival analysis of the immunotherapy-treated NSCLC cohort revealed better OS for the pembrolizumab monotherapy treated patients with high CTAB (p = 0.027). The combination group demonstrated improved OS compared to pembrolizumab monotherapy group (p = 0.04). The pembrolizumab monotherapy patients with high CTAB had a greater ORR than the combination therapy group (p = 0.02).ConclusionsCTA co-expression can be reliably measured using CGIP in solid tumors. As a biomarker, CTAB appears to be independent from PD-L1 expression, suggesting that CTAB represents aspects of tumor immunogenicity not measured by current standard of care testing. Improved OS and ORR for high CTAB NSCLC patients treated with pembrolizumab monotherapy suggests a unique underlying aspect of immune response to these tumor antigens that needs further investigation.

COVALENT-102: A phase 1/1b dose finding study of BMF-219, an oral covalent menin inhibitor, in adults with locally advanced, unresectable, or metastatic non-small cell lung cancer (NSCLC), pancreatic cancer (PDAC) and colorectal cancer (CRC) with activating KRAS mutations.

TPS716 Background: BMF-219 is a selective covalent inhibitor of menin, a transcriptional regulator of oncogenic signaling pathways in multiple cancers, that inhibits the menin/MYC interaction and downregulates the expression of MYC and MYC target genes, including KRAS. In addition, inhibition of the menin complex by BMF-219 alters function of the AP-1 transcription factor, JunD, a crucial factor for KRAS-driven tumorigenesis. Further, inhibition of the menin-MLL complex suppresses expression of Rasgrf1, a guanine nucleotide exchange factor essential for generation of the active RAS-GTP conformation of KRAS, activation of downstream pathways, and tumorigenesis. Preclinically, BMF-219 shows potent abrogation of menin-dependent oncogenic signaling and exerts pan-mutant KRAS anticancer activity independent of the specific KRAS-activating mutation. Methods: COVALENT-102 (NCT05631574) is a prospective, open-label, dose-finding study evaluating the safety, tolerability, and clinical activity of BMF-219 administered daily in adults with unresectable, locally advanced, or metastatic NSCLC (Cohort 1), PDAC (Cohort 2) and CRC (Cohort 3) with activating KRAS mutations who have received standard therapy. All indications as a group follow a 3+3 dose escalation design. BMF-219 is orally administered once or twice daily as continuous therapy in 28-day cycles until progression or intolerability/unacceptable toxicity. Following dose-escalation, each indication will enroll patients in expansion cohorts independently to obtain further safety and efficacy data. Eligible patients include those with any KRAS mutation and (Cohort 1) stage IIIB/IV NSCLC with 2-4 prior lines of therapy including immune checkpoint inhibitors (ICI) &amp;/or platinum-based chemo ± bevacizumab with ECOG 0-2; (Cohort 2) stage III/IV PDAC with ≥ 1 prior line of therapy including either FOLFIRINOX or gemcitabine/nab-paclitaxel, ECOG 0-1; or (Cohort 3) stage III/IV CRC with ≥ 1 prior line of therapy including FOLFOX or FOLFIRI ± bevacizumab (prior ICI if MSI-H/dMMR), ECOG 0-2. Patients must have documented progression and measurable disease as defined by RECIST 1.1. Patients with prior KRAS inhibitor exposure are eligible. Key exclusion criteria include untreated CNS metastasis, prior menin inhibitor therapy, and clinically significant cardiovascular disease. The primary objective is to determine the optimal biological dose/ recommended Phase 2 dose of BMF-219 monotherapy. Secondary objectives include further evaluation of safety and tolerability, characterization of the PK/PD of BMF-219, and efficacy based on duration of response and disease control rate. PFS, OS, and time to response are exploratory endpoints. Accrual began in January 2023 and is ongoing. Clinical trial information: NCT05631574 .

Cancer-associated fibroblast phenotypes are associated with patient outcome in non-small cell lung cancer

Despite advances in treatment, lung cancer survival rates remain low. A better understanding of the cellular heterogeneity and interplay of cancer-associated fibroblasts (CAFs) within the tumor microenvironment will support the development of personalized therapies. We report a spatially resolved single-cell imaging mass cytometry (IMC) analysis of CAFs in a non-small cell lung cancer cohort of 1,070 patients. We identify four prognostic patient groups based on 11 CAF phenotypes with distinct spatial distributions and show that CAFs are independent prognostic factors for patient survival. The presence of tumor-like CAFs is strongly correlated with poor prognosis. In contrast, inflammatory CAFs and interferon-response CAFs are associated with inflamed tumor microenvironments and higher patient survival. High density of matrix CAFs is correlated with low immune infiltration and is negatively correlated with patient survival. In summary, our data identify phenotypic and spatial features of CAFs that are associated with patient outcome in NSCLC.

Machine Learning for Prediction of Non-Small Cell Lung Cancer Based on Inflammatory and Nutritional Indicators in Adults: A Cross-Sectional Study.

The aim of this study was to evaluate the potential benefit of blood inflammation in the diagnosis of non-small cell lung cancer (NSCLC) and propose a machine-learning-based method to predict NSCLC in asymptomatic adults. A cross-sectional study was evaluated using medical records of 139 patients with non-small cell lung cancer and physical examination data from May 2022 to May 2023 of 198 healthy controls. The NSCLC cohort comprised 128 cases of adenocarcinoma, 3 cases of squamous cell carcinoma, and 8 cases of other NSCLC subtypes. The correlation between inflammatory and nutritional markers, such as monocytes, neutrophils, LMR, NLR, PLR, PHR and non-small cell lung cancer was examined. Features were selected using Python's feature selection library and analyzed by five algorithms. The predictive ability of the model for non-small cell lung cancer diagnosis was assessed by precision, accuracy, recall, F1 score, and area under the curve (AUC). The results showed that the top 14 important factors were PDW, age, TP, RBC, HGB, LYM, LYM%, RDW, PLR, LMR, PHR, MONO, MONO%, gender. Additionally, the naive Bayes (NB) algorithm demonstrated the highest overall performance in predicting adult NSCLC among the five machine learning algorithms, achieving an accuracy of 0.87, a macro average F1 score of 0.85, a weighted average F1 score of 0.87, and an AUC of 0.84. In feature ranking, platelet distribution width was the most important feature, and the NB algorithm performed best in predicting adult NSCLC diagnosis.

Targeted Therapies for Kirsten Rat Sarcoma (KRAS) G12C Mutant Metastatic Non-Small-Cell Lung Cancers

Non-small-cell lung cancer (NSCLC) is a prevalent and often fatal malignancy. Advancements in targeted therapies have improved outcomes for NSCLC patients in the last decade. Kirsten rat sarcoma virus (KRAS) is a commonly mutated oncogene in NSCLC, contributing to tumorigenesis and proliferation. Though classically difficult to target, recently developed KRAS G12C inhibitors (sotorasib and adagrasib) have now overcome this therapeutic hurdle. We discuss the evidence for these medications, their pitfalls and adverse effects, as well as future directions in this space. Though these medications demonstrate substantial response rates in a heavily pre-treated advanced NSCLC cohort, as phase-3 evidence does not yet demonstrate an overall survival benefit versus standard-of-care chemotherapy, docetaxel. Additionally, these medications appear to have a negative interaction in combination with immunotherapies, with substantially greater hepatotoxicity rates observed. Despite this, it is undeniable that these medications represent an important advancement in targeted and personalised oncological treatment. Current and future trials assessing these medications in combination and through sequencing strategies will likely yield further clinically meaningful outcomes to guide treatment in this patient cohort.

“Primer shot” fractionation with an early treatment break is theoretically superior to consecutive weekday fractionation schemes for early-stage non-small cell lung cancer

PurposeRadiotherapy is traditionally given in equally spaced weekday fractions. We hypothesize that heterogeneous interfraction intervals can increase radiosensitivity via reoxygenation. Through modeling, we investigate whether this minimizes local failures and toxicity for early-stage non-small cell lung cancer (NSCLC). MethodsPreviously, a tumor dose-response model based on resource competition and cell-cycle-dependent radiosensitivity accurately predicted local failure rates for early-stage NSCLC cohorts. Here, the model mathematically determined non-uniform inter-fraction intervals minimizing local failures at similar normal tissue toxicity risk, i.e., iso-BED3 (iso-NTCP) for fractionation schemes 18Gyx3, 12Gyx4, 10Gyx5, 7.5Gyx8, 5Gyx12, 4Gyx15. Next, we used these optimized schedules to reduce toxicity risk (BED3) while maintaining stable local failures (TCP). ResultsOptimal schedules consistently favored a “primer shot” fraction followed by a 2-week break, allowing tumor reoxygenation. Increasing or decreasing the assumed baseline hypoxia extended or shortened this optimal break by up to one week. Fraction sizes of 7.5 Gy and up required a single primer shot, while smaller fractions needed one or two extra fractions for full reoxygenation. The optimized schedules, versus consecutive weekday fractionation, predicted absolute LF reductions of 4.6%-7.4%, except for the already optimal LF rate seen for 18Gyx3. Primer shot schedules could also reduce BED3 at iso-TCP with the biggest improvements for the shortest schedules (94.6Gy reduction for 18Gyx3). ConclusionA validated simulation model clearly supports non-standard “primer shot” fractionation, reducing the impact of hypoxia-induced radioresistance. A limitation of this study is that primer-shot fractionation is outside prior clinical experience and therefore will require clinical studies for definitive testing.