Inhibitors In Non-small Cell Lung Cancer Research Articles

Correlation of immune phenotypes derived from H&E-stained whole slide images with prognosis and response to checkpoint inhibitors in NSCLC.

8539 Background: The classification of tumors as inflamed, excluded or desert based on spatial patterns of tumor infiltrating lymphocytes (TILs) is a potential biomarker of patients likely to respond to checkpoint inhibitors (CPI). However, the subjectivity of manual methods to assess these immune phenotypes (IPs) and poor standardization in the methods and thresholds to define IPs have hampered their clinical adoption. Here, we describe a data-driven approach to inform IP threshold selection on hematoxylin and eosin (H&E)-stained whole slide images (WSI) by maximizing differences in overall survival (OS) between IPs. Methods: A model to classify the IPs of NSCLC samples from H&E images was developed using PathExplore models applied to a TCGA non-small cell lung cancer (NSCLC) cohort of LUAD (N=459) and LUSC (N=424). TIL densities were extracted within cancer and stroma for 0.01 mm2 patches tiled across each WSI. Cut-offs to define cancer and stroma patches as hot or cold were defined based on the 75th and 50th percentiles, respectively, of cancer TIL (cTIL) densities (386 cTIL/mm2) and stroma TIL (sTIL) densities (423 sTIL/mm2) in a TCGA cohort of 4,082 H&E-stained WSI from 10 epithelial tumor types. Hierarchical fitting yielded optimal thresholds minimizing the p-values of OS differences between IPs, leading to classifications of inflamed (iIP, >40% cancer hot patches), excluded (eIP, ≤40% cancer hot patches; >45% stromal hot patches) and desert (dIP, ≤40% cancer hot patches; ≤45% stromal hot patches). The model was then deployed in a clinical cohort of PD-(L)1 inhibitor-treated NSCLC patients (N=95) enrolled in the BIP precision medicine study (NCT02534649; Institut Bergonié, Bordeaux, France). Model-predicted IPs were compared to progression-free survival (PFS) and OS. FDR correction was done with Benjamini-Hochberg. Results: In the TCGA NSCLC cohort, model-predicted iIP (N=196) and eIP (N=607) patients had significantly better OS compared to dIP (N=80; HR=0.53, p=0.003 and HR=0.59, p=0.003, respectively). In the clinical cohort, cTIL density and fraction of hot epithelial patches were significantly associated with PFS (HR=0.64, q=0.04 and HR=0.69, q=0.04, respectively). PFS was significantly shorter in model-predicted eIP patients (N=46) compared to iIP (N=39; HR=0.54, p=0.045). Notably, in PD-L1(-) patients (N=43, tumor proportion score ≤1%), iIP patients had longer PFS than eIP and dIP patients (HR=0.35, p=0.02). No difference in PFS was observed for PD-L1(+) patients. Conclusions: We developed a data-driven approach for predicting IPs using patch-level TIL features. Model-predicted IPs were prognostic in a TCGA NSCLC dataset and predictive of PFS in a CPI- treated clinical NSCLC cohort. Association of IP and PFS was independent of PD-L1 status, potentially allowing the identification of PD-L1(-) patients who may derive greater benefit from CPI.

Novel therapeutic strategies targeting bypass pathways and mitochondrial dysfunction to combat resistance to RET inhibitors in NSCLC

RET fusion is an oncogenic driver in 1–2 % of patients with non-small cell lung cancer (NSCLC). Although RET-positive tumors have been treated with multikinase inhibitors such as vandetanib or RET-selective inhibitors, ultimately resistance to them develops. Here we established vandetanib resistance (VR) clones from LC-2/ad cells harboring CCDC6-RET fusion and explored the molecular mechanism of the resistance. Each VR clone had a distinct phenotype, implying they had acquired resistance via different mechanisms. Consistently, whole exome-seq and RNA-seq revealed that the VR clones had unique mutational signatures and expression profiles, and shared only a few common remarkable events. AXL and IGF-1R were activated as bypass pathway in different VR clones, and sensitive to a combination of RET and AXL inhibitors or IGF-1R inhibitors, respectively. SMARCA4 loss was also found in a particular VR clone and 55 % of post-TKI lung tumor tissues, being correlated with higher sensitivity to SMARCA4/SMARCA2 dual inhibition and shorter PFS after subsequent treatments. Finally, we detected an increased number of damaged mitochondria in one VR clone, which conferred sensitivity to mitochondrial electron transfer chain inhibitors. Increased mitochondria were also observed in post-TKI biopsy specimens in 13/20 cases of NSCLC, suggesting a potential strategy targeting mitochondria to treat resistant tumors. Our data propose new promising therapeutic options to combat resistance to RET inhibitors in NSCLC.

Abstract 3711: Procedure establishment of EGFR mutation test with circulating tumor cells of lung cancer by in vitro assay

Abstract Introduction: Non-small cell lung cancer (NSCLC) is the most common subtype, accounting for approximately 80% of lung cancer. The treatment for NSCLC has significantly improved since the introduction of targeted therapies. Epidermal growth factor receptor (EGFR) mutations are the most frequently found genetic alterations in NSCLC, and deletion of exon 19 is a representative example. Searching for this mutation may provide important clues to the use of EGFR tyrosine kinase inhibitors in NSCLC. So, the detection of EGFR mutation is important step in cancer diagnosis and determining the drug treatment strategy, but the detection of mutation with tissues has limitations such as clinical challenge to poorly accessible tumor tissues before and after treatment. The aim of this study was to explore the feasibility and utility of implementation of EGFR molecular testing from circulating tumor cells (CTC) in NSCLC. Here, we developed and optimized the procedure of mutated EGFR detection in CTC after isolation with CytoGen’s Smart BiopsyTM CTC isolator by cobas® EGFR Mutation Test. This EGFR mutation test in CTC showed the potential to overcome the limitations of tissue biopsy with high sensitivity and specificity in an in vitro assay. Method: PC-9 cells were used the positive control of EGFR mutation (EGFR exon 19 deletion). Limit of detection (LOD) was performed with PC-9 cells (200 cells to 5 cells, 6 points) spiked into blood sample (5mL, healthy donor) to mimic CTC in the blood of lung cancer patient. CTC were isolated from spiked samples using CytoGen’s Smart BiopsyTM CTC isolator, subsequently cobas® EGFR Mutation Test was carried out to detect of EGFR mutation. Results: In in vitro experiments of recovery test using cell lines spiked into blood from healthy donor, the recovery rate of CytoGen’s Smart Biopsy TM CTC isolator showed over 80%. As a result of LOD test, EGFR exon19 deletion mutation of PC-9 cells was clearly detected even in the smallest number of cells were spiked into blood (5 cells in 5mL blood) and was not detected at all in the negative controls. The result suggested that CytoGen’s Smart Biopsy TM CTC isolator can isolate CTC with high recovery rate and apply the test of oncogenic mutations including EGFR mutation in CTC. Conclusions: Confirmation of EGFR mutation is important step in the diagnosis and selection of optimal drug for cancer patients. However, tissue biopsy has several limitations such as difficulties to get tissue samples and inaccurate information due to invasive method and tumor heterogeneity. Detection of EGFR mutation in CTC might overcome and make up for limitations of tissue biopsy. In this study, we optimized the EGFR mutation detection procedure of intact live CTC isolated by CytoGen’s Smart BiopsyTM CTC isolator. Citation Format: Jihyun Lee, Hoin Kang, Min Hyung Kim, Jubi Lee, Hyoyong Kim, Soee Kim, Hae Ung Lee, Hai-Chon Lee, Jung Won Kim. Procedure establishment of EGFR mutation test with circulating tumor cells of lung cancer by in vitro 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 3711.

Abstract 1538: Impact of C-reactive protein on the efficacy of immune checkpoint inhibitors in non-small cell lung cancer

Abstract Background: Immune checkpoint inhibitors (ICIs) therapy has achieved remarkable success in the treatment of non-small cell lung cancer (NSCLC). Clinical studies have suggested a correlation between C-reactive protein (CRP) levels and treatment efficacy, but it remains unclear whether CRP can directly impact the efficacy. Therefore, we investigated the imapct of CRP on the efficacy of ICIs in NSCLC. Methods: The tumor growth model was established in CRP knockout and wildtype mice by injecting LLC cells to evaluate the effect of CRP on tumor proliferation. The frequencies and phenotypes of macrophages and T cells in mouse tumors were detected by flow cytometry. The impact of CRP on macrophage polarization was evaluated using flow cytometry and IF, while its impact on T cell chemokines CCL5, CXCL9, and CXCL10 was analyzed by ELISA and qRT-PCR. mCRP and α-PD-1 were implemented in C57/BL6 mice injected with LLC cells to evaluate the effect of mCRP on tumor immunotherapy. The frequencies of T cells in mouse tumors were detected by flow cytometry. Expression of mCRP and infiltration of immune cells in human NSCLC tissues were analyzed using IHC. Results: We found that tumor progression was enhanced and the proportion of tumor-infiltrated M1 macrophages was decreased in CRP knockout mice. Using human PBMC-derived macrophage and RAW264.7 cell lines, we demonstrated that the monomeric form of CRP, known as mCRP, induced M1 polarization of macrophages, leading to increased secretion of CCL5, CXCL9, and CXCL10. In tumor bearing mice, mCRP treatment enhanced anti-tumor immunity and suppressed tumor progression by increasing CD4+ and CD8+ T cell recruitment. Surprisingly, the combined treatment of mCRP and α-PD-1 induced more significant tumor regression than α-PD-1 treatment alone. Additionally, high level of mCRP in NSCLC tissues is correlated with a more inflamed tumor microenvironment phenotype. Conclusion: mCRP can enhance the efficacy of immune checkpoint inhibitors in NSCLC by activating anti-tumor immunity. Citation Format: Wenyuan Li, Hui Guo. Impact of C-reactive protein on the efficacy of immune checkpoint inhibitors 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 1538.

Abstract 6493: CRISPR-directed prime editing sensitizes EGFR inhibitor by correcting oncogenic KRAS mutants In NSCLC

Abstract EGFR inhibitor has been demonstrated with huge therapeutic potential in advanced non-small cell lung cancer (NSCLC), while the patients carrying KRAS mutation had poor response to EGFR inhibitor. KRAS mutation is the most frequent molecular alteration found in advanced NSCLC, which is associated with a poor prognosis without available targeted therapy. Previous research showed that CRISPR-directed prime editor could induce unconstrained correction for KRAS mutants (KRASG12D, KRASG12C, KRASG12V). Accordingly, it would be a promising strategy to combine PE-based genetic therapy with EGFR inhibitor for enhanced therapy in NSCLC. Here,we selected several PE variants with reported highly efficient reverse transcriptase, among which eEc48-based PE6a showed the highest editing efficiency toward KRAS mutation. The lentivirus-mediated PE6a editing inhibited cell proliferation and invasion in vitro and in vivo. After that, EGFR inhibitor combined with PE6a was employed in patient-derived organoid (PDO) model carrying diverse KRAS mutants. We found that PE6a editing significantly inhibited PDO proliferation compared to EGFR inhibitor alone and control. Correspondingly, the transcriptome sequencing also showed that the cell apoptosis, cell growth and cell motility signaling were inhibited upon PE6a editing. Our findings demonstrated that the PE-directed genetic therapy could sensitize EGFR inhibitor in NSCLC, providing an alternative choice for NSCLC patients carrying KRAS mutant. Citation Format: Qingxiao Fang, Chao Yang, Chongbiao Huang, Hongwei Wang, Jun Yu, Jihui Hao. CRISPR-directed prime editing sensitizes EGFR inhibitor by correcting oncogenic KRAS mutants 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 6493.

Clinical translation for targeting DNA damage repair in non-small cell lung cancer: a review.

Despite significant advancements in screening, diagnosis, and treatment of non-small cell lung cancer (NSCLC), it remains the primary cause of cancer-related deaths globally. DNA damage is caused by the exposure to exogenous and endogenous factors and the correct functioning of DNA damage repair (DDR) is essential to maintain of normal cell circulation. The presence of genomic instability, which results from defective DDR, is a critical characteristic of cancer. The changes promote the accumulation of mutations, which are implicated in cancer cells, but these may be exploited for anti-cancer therapies. NSCLC has a distinct genomic profile compared to other tumors, making precision medicine essential for targeting actionable gene mutations. Although various treatment options for NSCLC exist including chemotherapy, targeted therapy, and immunotherapy, drug resistance inevitably arises. The identification of deleterious DDR mutations in 49.6% of NSCLC patients has led to the development of novel target therapies that have the potential to improve patient outcomes. Synthetic lethal treatment using poly (ADP-ribose) polymerase (PARP) inhibitors is a breakthrough in biomarker-driven therapy. Additionally, promising new compounds targeting DDR, such as ATR, CHK1, CHK2, DNA-PK, and WEE1, had demonstrated great potential for tumor selectivity. In this review, we provide an overview of DDR pathways and discuss the clinical translation of DDR inhibitors in NSCLC, including their application as single agents or in combination with chemotherapy, radiotherapy, and immunotherapy.

CDK4/6 inhibitors in lung cancer: current practice and future directions.

Lung cancer is the leading cause of cancer-related deaths worldwide, and ∼85% of lung cancers are classified as nonsmall cell lung cancer (NSCLC). These malignancies can proliferate indefinitely, in part due to dysregulation of the cell cycle and the resulting abnormal cell growth. The specific activation of cyclin-dependent kinases 4 and 6 (CDK4/6) is closely linked to tumour proliferation. Approximately 80% of human tumours exhibit abnormalities in the cyclin D-CDK4/6-INK4-RB pathway. Specifically, CDK4/6 inhibitors either as monotherapy or combination therapy have been investigated in pre-clinical and clinical studies for the treatment of NSCLC, and promising results have been achieved. This review article focuses on research regarding the use of CDK4/6 inhibitors in NSCLC, including the characteristics and mechanisms of action of approved drugs and progress of pre-clinical and clinical research.

Abstract B006: High RAS-RAF binding as assessed via proximity ligation assay is associated with sensitivity to KRASG12C inhibitors in NSCLC

Abstract KRASG12C inhibitors such as sotorasib and adagrasib have shown efficacy in patients with non-small cell lung cancer (NSCLC). However, a substantial proportion of patients do not respond. Therefore, there is a clear need for predictive biomarkers to guide treatment. The proximity ligation assay (PLA) is an immunofluorescent-based approach utilized to analyze endogenous protein-protein interactions. The method allows for the assessment of signaling-associated protein complexes, which can serve as potential targets for specific inhibitors. In particular, KRASG12C inhibitors can disrupt these complexes by interfering with the interaction between RAS and its effector RAF. By providing insights into the presence of these protein complexes, PLA offers a predictive readout for inhibitor sensitivity. We thus conducted a preclinical study to evaluate if a RAS-CRAF PLA could inform on the presence of RAS-RAF protein complexes and predict the response to KRASG12C inhibitors. To assess the specificity of the panRAS-CRAF PLA, we employed RNA interference in a KRASG12C-mutant H358 NSCLC cell line, wherein knockdown of either panRAS or CRAF resulted in a reduction in the panRAS-CRAF PLA signal. Pharmacological inhibition of RAS-RAF interaction with sotorasib also reduced the panRAS-CRAF PLA signal. We next performed panRAS-CRAF PLA in a panel of 11 KRASG12C-mutant NSCLC cell lines, revealing a higher number of panRAS-CRAF PLA spots in H358, LU65, and HCC1171. To further investigate the RAS-RAF interaction, we assessed the abundance of CRAF-bound RAS-GTP by quantifying the binding of RAS-GTP to the RAS-binding domain of CRAF. H358, LU65, and HCC1171 exhibited the highest levels of RAS-GTP among the 11 cell lines. We observed a strong correlation between the number of panRAS-CRAF PLA foci and the levels of CRAF-bound RAS-GTP (r = 0.87, P = 0.0002). These results indicated that the enhanced level of RAS-GTP for CRAF proteins facilitates the formation of RAS-CRAF complexes, thereby augmenting the panRAS-CRAF PLA signals. We then evaluated the in vitro antitumor activity of sotorasib across the G12C-mutated cell lines and found that the 50% inhibitory concentration values of sotorasib for H358, LU65, and HCC1171 were below 30 nmol/L. The panRAS-CRAF PLA was strongly associated with the sensitivity to sotorasib (r = 0.81, P = 0.002). We subsequently assessed the association of panRAS-CRAF PLA with efficacy of adagrasib in a patient-derived xenograft (PDX) cohort. PanRAS-CRAF PLA was assessed on sections of formalin-fixed paraffin-embedded tumors derived from vehicle-treated control groups at the end of efficacy studies in 18 NSCLC PDX models. Our findings revealed a significant association between high panRAS-CRAF PLA signal and increased sensitivity to adagrasib (r = 0.61, P = 0.008). Our results suggest that panRAS-CRAF PLA may serve as a predictive marker to identify patients who could derive optimal benefit from KRASG12C inhibitors, and may direct combination therapy approaches to those patients less likely to benefit from single-agent therapy. Citation Format: Ryoji Kato, Hitendra S. Solanki, Denis Imbody, Anurima Majumder, Yaakov Stern, Liznair Bridenstine, Harika Gundlapalli, Ida Aronchik, Joseph Johnson, Eric B. Haura. High RAS-RAF binding as assessed via proximity ligation assay is associated with sensitivity to KRASG12C inhibitors in NSCLC [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr B006.

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

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

Cotargeting a MYC/eIF4A-survival axis improves the efficacy of KRAS inhibitors in lung cancer.

Despite the success of KRAS G12C inhibitors in non-small cell lung cancer (NSCLC), more effective treatments are needed. One preclinical strategy has been to cotarget RAS and mTOR pathways; however, toxicity due to broad mTOR inhibition has limited its utility. Therefore, we sought to develop a more refined means of targeting cap-dependent translation and identifying the most therapeutically important eukaryotic initiation factor 4F complex-translated (eIF4F-translated) targets. Here, we show that an eIF4A inhibitor, which targets a component of eIF4F, dramatically enhances the effects of KRAS G12C inhibitors in NSCLCs and together these agents induce potent tumor regression in vivo. By screening a broad panel of eIF4F targets, we show that this cooperativity is driven by effects on BCL-2 family proteins. Moreover, because multiple BCL-2 family members are concomitantly suppressed, these agents are broadly efficacious in NSCLCs, irrespective of their dependency on MCL1, BCL-xL, or BCL-2, which is known to be heterogeneous. Finally, we show that MYC overexpression confers sensitivity to this combination because it creates a dependency on eIF4A for BCL-2 family protein expression. Together, these studies identify a promising therapeutic strategy for KRAS-mutant NSCLCs, demonstrate that BCL-2 proteins are the key mediators of the therapeutic response in this tumor type, and uncover a predictive biomarker of sensitivity.

Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry.

Immune checkpoint inhibitors (ICIs) only benefit a subset of cancer patients, underlining the need for predictive biomarkers for patient selection. Given the limitations of tumor tissue availability, flow cytometry of peripheral blood mononuclear cells (PBMCs) is considered a noninvasive method for immune monitoring. This study explores the use of spectrum flow cytometry, which allows a more comprehensive analysis of a greater number of markers using fewer immune cells, to identify potential blood immune biomarkers and monitor ICI treatment in non-small-cell lung cancer (NSCLC) patients. PBMCs were collected from 14 non-small-cell lung cancer (NSCLC) patients before and after ICI treatment and 4 healthy human donors. Using spectrum flow cytometry, 24 immune cell markers were simultaneously monitored using only 1 million PBMCs. The results were also compared with those from clinical flow cytometry and bulk RNA sequencing analysis. Our findings showed that the measurement of CD4+ and CD8+ T cells by spectrum flow cytometry matched well with those by clinical flow cytometry (Pearson R ranging from 0.75 to 0.95) and bulk RNA sequencing analysis (R=0.80, P=1.3 x 10-4). A lower frequency of CD4+ central memory cells before treatment was associated with a longer median progression-free survival (PFS) [Not reached (NR) vs. 5 months; hazard ratio (HR)=8.1, 95% confidence interval (CI) 1.5-42, P=0.01]. A higher frequency of CD4-CD8- double-negative (DN) T cells was associated with a longer PFS (NR vs. 4.45 months; HR=11.1, 95% CI 2.2-55.0, P=0.003). ICIs significantly changed the frequency of cytotoxic CD8+PD1+ T cells, DN T cells, CD16+CD56dim and CD16+CD56- natural killer (NK) cells, and CD14+HLDRhigh and CD11c+HLADR + monocytes. Of these immune cell subtypes, an increase in the frequency of CD16+CD56dim NK cells and CD14+HLADRhigh monocytes after treatment compared to before treatment were associated with a longer PFS (NR vs. 5 months, HR=5.4, 95% CI 1.1-25.7, P=0.03; 7.8 vs. 3.8 months, HR=5.7, 95% CI 169 1.0-31.7, P=0.04), respectively. Our preliminary findings suggest that the use of multicolor spectrum flow cytometry helps identify potential blood immune biomarkers for ICI treatment, which warrants further validation.

Sex-Specific Effects of Body Composition on Tumor Microenvironment in Non–Small Cell Lung Cancer

BackgroundThere exists a gap in understanding the interaction between sex and obesity on tumor microenvironment in non–small cell lung cancer (NSCLC). We demonstrate the combined effects of sex and body composition on clinically relevant biomarkers of NSCLC immune response. MethodsA cohort of 409 patients with NSCLC was subdivided into 4 groups jointly defined by body mass index (BMI; cutoff of 25 kg/m2) and sex (male–high BMI, male–low BMI, female–high BMI, female–low BMI). Associations between these sex-BMI groups and tumor inflammation (expression of 161 immune response genes), cell proliferation (expression of 10 cell proliferation genes), and programmed cell death ligand 1 (PD-L1; through immunohistochemistry and targeted RNA sequencing) were assessed by Kruskal-Wallis and Wilcoxon rank sum tests for overall and pairwise tests, respectively. ResultsWe observed an overall significant association of sex-BMI with tumor inflammation (P < .001) and cell proliferation (P = .002). On pairwise analysis, high-BMI females had significantly higher tumor inflammation compared with low-BMI females (P = .002). In addition, women with a high (P = .004) and low (P = .008) BMI had significantly higher tumor inflammation compared with men with a high and low BMI, respectively. Low-BMI females (P = .01) and males (P = .01) had more cell proliferation. PD-L1 expression by RNA sequencing (P = .001) but not by immunohistochemical analysis differed significantly with sex-BMI. High-BMI females had significantly higher PD-L1 expression compared with low-BMI females (P = .01). ConclusionsWe demonstrate that tumor inflammation and PD-L1 expression are more strongly associated with BMI in women than in men. Additional studies are required to better understand the mechanisms underlying these effects and their role in response to checkpoint inhibitors in NSCLC.

Co-mutational status and PD-L1 expression in KRAS mutant non-small cell lung cancer (NSCLC): Role in treatment selection and association with clinical outcomes.

9038 Background: In NSCLC, different KRAS mutations (mt) define unique subgroups and certain co-mutations (co-mt) could have prognostic and therapeutic implications. Retrospective studies associate poor prognosis with co-mts in STK11 and KEAP1 with KRAS. It is unclear if PD-L1 expression and co-mt in KRAS mt NSCLC impacts outcomes. Methods: Molecular profiles of 27748 NSCLC tumors were tested with next-generation sequencing (Caris Life Sciences, Phoenix, AZ) and classified by KRAS mt. PD-L1 IHC (22C3) was reported as TPS. Real-world post-immunotherapy (IO) overall survival (OS) was obtained from insurance claims and calculated from start of an immune check-point inhibitor (with or without chemotherapy) to the last day of follow-up. Results: In all, 7634 (28%) samples had a KRAS mt; most common being G12C (11%), G12V (5.3%), G12D (3.9%) and G13X (2.0%). The most frequent co-mt was KRAS-TP53 (KP) (46%), similar in all KRAS subtypes. KRAS-STK11(KL) was in 23% of KRAS mt, enriched in G13X (33%) and lowest in G12D (16%). KRAS-KEAP1(KK) was co-mt in 10% of KRAS mt, highest in G13X (16%) and lowest in G12D (8%). KRASmt/ STK11wt/ KEAP1wt/ TP53wt (K only) was 27% of KRAS mt, highest in G12D (36%) and lowest in G13X (16%). A small subgroup, 5.6% was KRAS-STK11-KEAP1 co-mt (KKL). The majority of pts in the KL (61%), KK (52%) and KKL (62%) cohorts had TPS &lt;1%. In 1723 KRAS mt NSCLC pts treated with IO, KL, KK and KKL had significantly worse post-IO OS than KP and K only (table); KKL had the lowest OS. In the TPS≥1% KRAS mt group, KL, KK and KKL had worse post-IO OS than KP and K-only. In TPS&lt;1% group, KL and KK had poor post-IO OS and K-only had favorable outcomes. However, KP had worse post-IO OS compared to K-only in TPS&lt;1%. In G12C and G12V, similar trend with worse post-IO OS in KL, KK and KKL, compared to KP and K only was noted. Conclusions: We report a large real-world dataset evaluating outcomes with check-point inhibitors in NSCLCs with KRAS and specific co-mts. KL, KK and KKL subgroups demonstrate universally poor outcomes in all KRAS subtypes irrespective of PD-L1. Pts with KP co-mts have adverse post-IO outcomes in TPS&lt;1% but favorable in TPS≥1%. TPS score remains a predictive marker of IO outcomes in KP, but not in KL, KK and KKL. These observations emphasize that both PD-L1 and co-mts have a clear association with clinical outcomes in KRAS-mt NSCLC, and must be used in predictive models for individualized therapy. [Table: see text]

Obesity, dyslipidemia, and diabetes as determinants of response to immune checkpoint inhibitors in non-small cell lung cancer.

e21125 Background: Immune checkpoint inhibitors (IOs) are the standard of care in the treatment of advanced non-small cell lung cancer (NSCLC). Predictive biomarkers of response to IOs are being studied extensively. Obesity has been correlated with a better response to IOs in NSCLC and other types of cancer. This may be related to high circulating leptin or impaired T-cell fatty acid oxidation within the tumor microenvironment. We aim to further explore the effects of other components of the metabolic syndrome (diabetes, dyslipidemia) on treatment outcomes in NSCLC patients receiving IOs. Methods: We performed a retrospective cohort study in patients with NSCLC treated with pembrolizumab, nivolumab, durvalumab, cemiplimab, or atezolizumab as monotherapy or combined with chemotherapy at Mount Auburn Hospital, Beth Israel Deaconess Medical Center, and Lahey Hospital &amp; Medical Center between January 2016 and June 2021. Obesity was defined as body mass index (BMI) &gt; 30 kg/m2; dyslipidemia and type 2 diabetes were defined by ICD-10 diagnosis codes. Overall survival (OS) was evaluated. Kaplan-Meier survival analysis and cox proportional hazards regression were used to assess correlation between OS and obesity, dyslipidemia, type 2 diabetes, metformin use, and statin use. These were adjusted for age, biological sex, cancer stage, and ECOG performance status. Patients with BMI &lt; 18.5 were excluded. Results: We identified 502 patients with NSCLC who were treated with IOs. Of these, 68.5% had adenocarcinoma, 26.7% had squamous, and 4.8% had either adenosquamous, large cell or poorly differentiated histologies. Among these patients, 22% were classified as obese, 45% had dyslipidemia, and 22% had type 2 diabetes. Of these, 66% of patients received IO monotherapy. Obesity was associated with improved OS (adjusted HR 0.70, CI 0.49-0.99, p = 0.042). Conversely, dyslipidemia was associated with worse OS (adjusted HR 1.44, CI 1.11-1.89, p = 0.003). Interestingly, glucose level &gt; 126 mg/dL at the time of IO initiation was also associated with worse OS (HR 1.42, CI 1.10-1.83, p = 0.008). OS was not significantly different between those with type 2 diabetes, metformin use, or statin use. In this cohort, none of these metabolic parameters were significantly associated with immune-related adverse events. Conclusions: Obesity is associated with improved OS in patients with NSCLC treated with IO. Conversely, dyslipidemia and hyperglycemia were associated with worse OS. This represents an important disconnect within the metabolic milieu governing differential responses to IOs. Further studies are needed to explore the molecular mediators that may be unique to obesity and provide a favorable microenvironment for IO efficacy.

Abstract A001: RAS:RAF proximity ligation assay may predict response to KRASG12C inhibitors in NSCLC

Abstract Sotorasib demonstrated efficacy in patients with non-small cell lung cancer (NSCLC). However, a substantial proportion of patients do not respond. There is therefore a clear need for a predictive biomarker to guide treatment decisions. Proximity ligation assay (PLA) is an immunofluorescent-based approach for analysis of endogenous protein-protein interactions, in which the signal can be detected only when two target proteins are within 40 nm. This method measures drug-targetable signaling-associated protein complexes in cells and tissues. KRAS activity has recently been shown to be related to the sensitivity to sotorasib. We therefore conducted a preclinical study to evaluate whether RAS activation inferred by PLA might predict response to KRASG12C inhibitors. We first examined panRAS:CRAF PLA reaction for a KRASG12C-mutant H358 NSCLC cell line, by comparing a complete PLA reaction with both panRAS and CRAF antibodies and an incomplete PLA reaction in the absence of either panRAS or CRAF antibodies. We observed high panRAS:CRAF PLA intensity in H358 with both antibodies, which was abrogated in the absence of either panRAS or CRAF antibodies. We next evaluated the specificity of the PLA reaction by RNA interference. Transfection with sipanRAS or siCRAF resulted in a reduction in panRAS:CRAF PLA signal. We then performed panRAS:CRAF PLA with a panel of KRAS G12C-mutant NSCLC cell lines. The intensity of panRAS:CRAF PLA signal varied between these cell lines, with H358 and LU65 having higher and H1792 and LU99 having lower intensity of panRAS:CRAF PLA signal. To further understand the RAS-RAF interaction, we evaluated a CRAF-RAS binding domain pulldown assay for the cell lines. Different levels of CRAF-bound panRAS were observed in the cell lines, with H358 and LU65 having higher and H1792 and LU99 having lower level of CRAF-bound panRAS. The intensity of panRAS:CRAF PLA strongly correlated with CRAF-bound panRAS (r = 0.70, P = 0.037), suggesting that panRAS:CRAF PLA works sufficiently well to detect the RAS-RAF complex. We investigated the antitumor efficacy of AMG510 in vitro and found that a heterogeneous response to AMG510 was observed in the cell lines, with the 50% inhibitory concentration values of AMG510 for H358 and LU65 below 30 nmol/L and those for H1792, and LU99 above 10 μmol/L. The intensity of panRAS:CRAF PLA was strongly associated with the sensitivity of the G12C-mutated cells to AMG510 (r = 0.74, P = 0.01). We next examined sections of FFPE tumors from NSCLC cell line-derived xenograft models. The panRAS:CRAF PLA signal was higher in mice with sotorasib-sensitive H358 than with resistant H1792 (P = 0.02). Our results suggest that RAS:RAF PLA may have values as a predictive marker to identify which patients can obtain the greatest benefit from sotorasib. Citation Format: Ryoji Kato, Hitendra S. Solanki, Denis Imbody, Anurima Majumder, Yaakov Stern, Liznair Bridenstine, Joseph Johnson, Eric B. Haura. RAS:RAF proximity ligation assay may predict response to KRASG12C inhibitors in NSCLC [abstract]. In: Proceedings of the AACR Special Conference: Targeting RAS; 2023 Mar 5-8; Philadelphia, PA. Philadelphia (PA): AACR; Mol Cancer Res 2023;21(5_Suppl):Abstract nr A001.

Genomic and transcriptomic analysis of checkpoint blockade response in advanced non-small cell lung cancer

Anti-PD-1/PD-L1 agents have transformed the treatment landscape of advanced non-small cell lung cancer (NSCLC). To expand our understanding of the molecular features underlying response to checkpoint inhibitors in NSCLC, we describe here the first joint analysis of the Stand Up To Cancer-Mark Foundation cohort, a resource of whole exome and/or RNA sequencing from 393 patients with NSCLC treated with anti-PD-(L)1 therapy, along with matched clinical response annotation. We identify a number of associations between molecular features and outcome, including (1) favorable (for example, ATM altered) and unfavorable (for example, TERT amplified) genomic subgroups, (2) a prominent association between expression of inducible components of the immunoproteasome and response and (3) a dedifferentiated tumor-intrinsic subtype with enhanced response to checkpoint blockade. Taken together, results from this cohort demonstrate the complexity of biological determinants underlying immunotherapy outcomes and reinforce the discovery potential of integrative analysis within large, well-curated, cancer-specific cohorts.

Abstract 2932: Datopotamab deruxtecan (Dato-DXd) enhances antitumor response to PD-1/PD-L1 inhibitors in TROP2-expressing tumors in mice

Abstract Background: Trophoblast cell surface antigen 2 (TROP2) is highly expressed in various epithelial tumors, including non-small cell lung cancer (NSCLC) and triple negative breast cancer (TNBC), and correlates with poor prognosis. Datopotamab deruxtecan (Dato-DXd) is an antibody-drug conjugate (ADC) consisting of a humanized anti-TROP2 IgG1 monoclonal antibody covalently linked to a highly potent topoisomerase I (Topo I) inhibitor payload via a stable, tumor-selective, tetrapeptide-based cleavable linker. Dato-DXd has shown encouraging antitumor activity and a manageable safety profile in patients with NSCLC and TNBC as part of the first-in-human, Phase 1 study (NCT03401385). To enhance clinical responses, clinical trials evaluating combination therapy of Dato-DXd with PD-1/PD-L1 inhibitors in NSCLC and TNBC are currently ongoing (e.g. NCT04526691 and NCT03742102). Here we report preclinical evidence for supporting increased antitumor activity of Dato-DXd in combination with PD-1/PD-L1 inhibitors using a syngeneic mouse tumor model and its impact on tumor immunity. Methods: MC38 mouse colon adenocarcinoma cells stably transfected with human TROP2 (hTROP2_MC38) were inoculated subcutaneously in immunocompetent C57BL6 mice or immunodeficient nude mice and the antitumor activity of Dato-DXd with or without mouse PD-1/PD-L1 inhibitors was evaluated. The tumor infiltrating immune cells in hTROP2_MC38 tumors were analyzed by flow cytometry at 3 days and 10 days after dosing. In addition, the impact of CD8+ T cell depletion on the antitumor activity of Dato-DXd against hTROP2_MC38 tumors in C57BL6 mice was evaluated. Results: Dato-DXd showed stronger antitumor activity against hTROP2_MC38 tumors in immunocompetent C57BL6 mice than in immunodeficient nude mice, which suggests that immune cells play an important role in the mechanism of action (MoA) of Dato-DXd. The combination of Dato-DXd and mouse PD-1/PD-L1 inhibitors enhanced antitumor activity compared to monotherapy against hTROP2_MC38 tumors in C57BL6 mice. Activation of the dendritic cells in hTROP2_MC38 tumors in C57BL6 mice was observed after Dato-DXd monotherapy or combination therapy with mouse PD-1/PD-L1 inhibitors, which led to the increase of tumor infiltrating CD8+ T cells. Involvement of CD8+ T cells in the MoA of Dato-DXd was also supported by the result that CD8+ T cell depletion in C57BL6 mice decreased the antitumor activity of Dato-DXd against hTROP2_MC38 tumors. In addition, activation of tumor infiltrating NK cells and macrophages was observed after Dato-DXd monotherapy or combination therapy, suggesting the potential effect on innate immunity. Conclusion: These results suggest that Dato-DXd may stimulate tumor immunity and sensitize tumors to PD-1/PD-L1 inhibitors. The combination of Dato-DXd and PD-1/PD-L1 blockers could be a valuable therapy for patients with TROP2-positive tumors. Citation Format: Daisuke Okajima, Satoru Yasuda, Takami Suzuki, Michiko Kitamura, Junko Yamaguchi, Takanori Maejima, Tsuyoshi Karibe, Tadashi Toki, Penny Phillips, Toshinori Agatsuma. Datopotamab deruxtecan (Dato-DXd) enhances antitumor response to PD-1/PD-L1 inhibitors in TROP2-expressing tumors in mice [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2932.

Incorporating risk preferences of patients in the valuation of immune checkpoint inhibitors for non-small cell lung cancer.

Immunotherapy offers a distinctive mechanism of action compared to traditional treatments, arising from additional value dimensions that may not be captured in standard health technology assessments. Cancer patients may have the expectation that immunotherapy provides durable, long-term survival gains. Moreover, some patients may be willing to take a 'risk' to undergo immunotherapy to achieve better survival outcomes. We reviewed quantitative methods that explored patients' risk preferences in their non-small cell lung cancer (NSCLC) treatment choices, in PubMed (MEDLINE), from January 1, 2015, until July 1, 2022. The consideration of a value dimension ('hope') based on patients' risk-seeking preferences is specifically addressed for the valuation of immune checkpoint inhibitors in NSCLC. We reported that the quantitative methods that aim to measure patients' risk preferences or 'hope' empirically are emerging. Value assessments should not only comprise survival improvements for the mean or median patient but also consider methods that reflect durable, long-term overall survival gains for risk-seeking patients. However, the published evidence for incorporating 'hope' based on patients' stated preferences for uncertain treatment profiles is not strong, and future research could strengthen this evidence base. We encourage further research on the development and validation of quantification methods to incorporate 'hope' and risk preferences of patients treated with immunotherapy for NSCLC and beyond.

Emerging therapeutic strategies for enhancing sensitivity and countering resistance to programmed cell death protein 1 or programmed death-ligand 1 inhibitors in non-small cell lung cancer.

The availability of agents targeting the programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) immune checkpoint has transformed treatment of advanced and/or metastatic non-small cell lung cancer (NSCLC). However, a substantial proportion of patients treated with these agents do not respond or experience only a brief period of clinical benefit. Even among those whose disease responds, many subsequently experience disease progression. Consequently, novel approaches are needed that enhance antitumor immunity and counter resistance to PD-(L)1 inhibitors, thereby improving and/or prolonging responses and patient outcomes, in both PD-(L)1 inhibitor-sensitive and inhibitor-resistant NSCLC. Mechanisms contributing to sensitivity and/or resistance to PD-(L)1 inhibitors in NSCLC include upregulation of other immune checkpoints and/or the presence of an immunosuppressive tumor microenvironment, which represent potential targets for new therapies. This review explores novel therapeutic regimens under investigation for enhancing responses to PD-(L)1 inhibitors and countering resistance, and summarizes the latest clinical evidence in NSCLC.

Combining STAT3-Targeting Agents with Immune Checkpoint Inhibitors in NSCLC.

Despite recent therapeutic advances, non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related death. Signal transducer and activator of transcription 3 (STAT3) is a transcription factor (TF) with multiple tumor-promoting effects in NSCLC, including proliferation, anti-apoptosis, angiogenesis, invasion, metastasis, immunosuppression, and drug resistance. Recent studies suggest that STAT3 activation contributes to resistance to immune checkpoint inhibitors. Thus, STAT3 represents an attractive target whose pharmacological modulation in NSCLC may assist in enhancing the efficacy of or overcoming resistance to immune checkpoint inhibitors. In this review, we discuss the biological mechanisms through which STAT3 inhibition synergizes with or overcomes resistance to immune checkpoint inhibitors and highlight the therapeutic strategy of using drugs that target STAT3 as potential combination partners for immune checkpoint inhibitors in the management of NSCLC patients.