Mutant Lung Cancer Research Articles

Outcome of Patients With Resected Early-Stage Non-small Cell Lung Cancer and EGFR Mutations: Results From the IFCT Biomarkers France Study

IntroductionMolecular profile of resected stage I–II non-small cell lung cancer (NSCLC) would help refine prognosis and personalize induction or adjuvant strategies. We sought to report the molecular profile of resected stage I–II NSCLC and analyzed the impact of epidermal growth factor receptor (EGFR) mutations on outcomes in a Western population. Patients and MethodsSurgical cases were identified from Biomarkers France study, a nationwide prospective study including NSCLC patients screened for EGFR, HER2, KRAS, BRAF, PIK3CA, ALK alterations from 2012 to 2013. Among surgical patients, clinical charts of the largest centers were reviewed in order to analyze the prognostic impact of EGFR mutations. ResultsIn the BMF database (n = 17.636), surgical patients (n = 854) were characterized by a higher proportion of EGFR mutations than nonsurgical patients (12.9% vs. 10.2%, P = .025), while the other molecular alterations did not differ. The proportion of EGFR mutations was 27% in women undergoing surgery. In the study group (n = 293; EGFR wild type, n = 235; usual mutation, n = 50; rare mutation, n = 8), after a median follow-up of 67 months, 215 patients (74.4%) had not relapsed. No difference was found between EGFR-mutant and EGFR-wt tumors regarding recurrence site, disease-free survival, and overall survival. The 5-year disease-free survival and overall survival after surgical resection of stage I-II EGFR-mutated tumors were 65% and 75%, respectively. ConclusionIn resected stage I to II NSCLC, EGFR mutations were found in 12.9% of cases, associated with a 5-year overall survival of 75%, with no impact on recurrence site, disease-free survival, and overall survival.

Chinese Expert Consensus on Management of Special Adverse Effects Associated with Lorlatinib

间变性淋巴瘤激酶（anaplastic lymphoma kinase, ALK）融合基因是非小细胞肺癌（non-small cell lung cancer, NSCLC）中第二常见的肿瘤驱动基因。作为新型的第三代ALK酪氨酸激酶抑制剂（tyrosine kinase inhibitor, TKI），洛拉替尼对多种ALK激酶域突变具有广谱且高效的临床活性，并具有强大的穿透血脑屏障效力。洛拉替尼的总体耐受性良好，其独特的不良反应或不良事件包括高脂血症与中枢神经系统反应等，多为轻至中度，通常经剂量调整和/或标准医疗干预即可管理。对于ALK阳性晚期NSCLC，开始洛拉替尼治疗前应充分评估患者基线特征与既往用药状况，预先告知患者可能经历的用药相关不良反应，并定期监测以实现药物临床获益的最大化。同时，多学科专家团队对于建立全面的诊断和治疗策略是至关重要的。

KRAS-targeted therapy in the treatment of non-small cell lung cancer.

KRAS mutations are one of the most common driver mutations in non-small cell lung cancer. Though previously believed to be an undruggable target, recent advances in therapeutics have seen new targeted agents against KRAS mutations. The objective of this article is to review currently available and upcoming KRAS-targeted treatments. Currently available trials examining KRAS-targeted therapy in non-small cell lung cancer were examined by searching for the keyword "KRAS inhibitors." The pivotal trials for sotorasib and adagrasib were reviewed for this article. Mutated KRAS can be challenging to target for a variety of reasons. In 2021, the US Food and Drug Administration approved sotorasib for the treatment of adult patients with locally advanced or metastatic non-small cell lung cancer with KRAS G12C mutation as determined by a Food and Drug Administration-approved test, who have received at least one prior systemic therapy. A multicenter, single-group, open-label, phase 2 trial was able to demonstrate that sotorasib was able to demonstrate objective response, progression-free survival, and overall survival in this patient population. A phase 3 trial comparing sotorasib to docetaxel in the subsequent-line treatment of KRAS G12C non-small cell lung cancer is currently ongoing. There are other KRAS-targeted agents currently under study, including adagrasib, with growing interest in targeting KRAS downstream pathways. Further trials need to be conducted in order to identify other targeted agents for KRAS and the appropriate place in therapy among currently approved treatments for non-small cell lung cancer.

Tumor growth inhibition modeling to support the starting dose for dacomitinib.

Dacomitinib is a second-generation, irreversible EGFR tyrosine kinase inhibitor for first-line treatment of patients with metastatic non-small cell lung cancer and EGFR-activating mutations. A high rate of dose reductions in the pivotal trial led to an observed inverse exposure-response (ER) relationship with the primary end points. Three ER models were developed to determine if the starting dose from the pivotal trial, 45 mg once daily (q.d.) dose, is appropriate: a longitudinal logistic regression model for adverse event-related dose changes, a Claret tumor growth inhibition (TGI) model, and a Cox model for progression-free survival (PFS) based on the TGI model predictions. This analysis included 266 patients taking dacomitinib with a starting dose of 45 mg (N=250) or 30 mg (N=16) q.d. The ER relationships with the time-varying exposure metrics, most recent maximum plasma concentration (Cmax ) and average concentration (Cavg ) from the first dose, were established for the dose reduction and TGI models, respectively. The TGI model characterized the tumor inhibition over time with constant growth rate (kL =0.0012 years-1 ) and highly variable kill rate (kD =1.002 years-1 /[μg/L]θcavg , coefficient of variation [CV]=89%) and drug resistance (λ=14.47 years-1 , CV=96%) leading to prolonged tumor shrinkage. The ER relationship was characterized using an exposure parameter with a power parameterization (θcavg=0.454, p < 0.0001). The Cox model found that baseline tumor size (p=0.0166) and week 8 tumor shrinkage rate (p=0.0726) were the best predictors of PFS. Simulations of dose reductions and drug interruptions on tumor shrinkage over time showed greater and more prolonged tumor shrinkage with a starting dose of 45 mg q.d.

Activation of the HSP27-AKT axis contributes to gefitinib resistance in non-small cell lung cancer cells independent of EGFR mutations

PurposeAlthough epidermal growth factor receptor (EGFR)-activating mutations in non-small cell lung cancer (NSCLC) usually show sensitivity to first-generation EGFR-tyrosine kinase inhibitors (TKIs), most patients relapse because of drug resistance. Heat shock protein 27 (HSP27) has been reported to be involved in the resistance of EGFR-TKIs, although the underlying mechanism is unclear. Here, we explore the mechanisms of HSP27-mediated EGFR TKI resistance and propose novel therapeutic strategies.MethodsTo determine the mechanism of HSP27 associated gefitinib resistance, differences were assessed using gefitinib-sensitive and -resistant NSCLC cell lines. In vivo xenograft experiments were conducted to elucidate the combinatorial effects of J2, a small molecule HSP27 inhibitor, and gefitinib. Analyses of human NSCLC tissues and PDX tissues were also used for comparison of HSP27 and phosphorylated AKT expression.ResultsLarge-scale cohort analysis of NSCLC cases revealed that HSP27 expression correlated well with the incidence of EGFR mutations and affected patient survival. Increased pAKT and HSP27 was observed in gefitinib-resistant cells compared with gefitinib-sensitive cells. Moreover, increased phosphorylation of HSP27 by gefitinib augmented its protein stability and potentiated its binding activity with pAKT, which resulted in increased gefitinib resistance. However, in gefitinib-sensitive cells, stronger binding activity between EGFR and HSP27 was observed. Moreover, these phenomena occurred regardless of EGFR mutation including secondary mutations, such as T790M. AKT knockdown switched HSP27-pAKT binding to HSP27-EGFR, which promoted gefitinib sensitivity in gefitinib-resistant cells. Functional inhibition of HSP27 yielded sensitization to gefitinib in gefitinib-resistant cells by inhibiting the interaction between HSP27 and pAKT.ConclusionsOur results indicate that combination of EGFR-TKIs with HSP27 inhibitors may represent a good strategy to overcome resistance to EGFR-TKIs, especially in cancers exhibiting AKT pathway activation.

Predicting oncogene mutations of lung cancer using deep learning and histopathologic features on whole-slide images

Lung cancer is a leading cause of death in both men and women globally. The recent development of tumor molecular profiling has opened opportunities for targeted therapies for lung adenocarcinoma (LUAD) patients. However, the lack of access to molecular profiling or cost and turnaround time associated with it could hinder oncologists' willingness to order frequent molecular tests, limiting potential benefits from precision medicine. In this study, we developed a weakly supervised deep learning model for predicting somatic mutations of LUAD patients based on formalin-fixed paraffin-embedded (FFPE) whole-slide images (WSIs) using LUAD subtypes-related histological features and recent advances in computer vision. Our study was performed on a total of 747 hematoxylin and eosin (H&E) stained FFPE LUAD WSIs and the genetic mutation data of 232 patients who were treated at Dartmouth-Hitchcock Medical Center (DHMC). We developed our convolutional neural network-based models to analyze whole slides and predict five major genetic mutations, i.e., BRAF, EGFR, KRAS, STK11, and TP53. We additionally used 111 cases from the LUAD dataset of the CPTAC-3 study for external validation. Our model achieved an AUROC of 0.799 (95% CI: 0.686–0.904) and 0.686 (95% CI: 0.620–0.752) for predicting EGFR genetic mutations on the DHMC and CPTAC-3 test sets, respectively. Predicting TP53 genetic mutations also showed promising outcomes. Our results demonstrated that H&E stained FFPE LUAD whole slides could be utilized to predict oncogene mutations, such as EGFR, indicating that somatic mutations could present subtle morphological characteristics in histology slides, where deep learning-based feature extractors can learn such latent information.

Allele-specific activation, enzyme kinetics, and inhibitor sensitivities of EGFR exon 19 deletion mutations in lung cancer

Oncogenic mutations within the epidermal growth factor receptor (EGFR) are found in 15 to 30% of all non-small-cell lung carcinomas. The term exon 19 deletion (ex19del) is collectively used to refer to more than 20 distinct genomic alterations within exon 19 that comprise the most common EGFR mutation subtype in lung cancer. Despite this heterogeneity, clinical treatment decisions are made irrespective of which EGFR ex19del variant is present within the tumor, and there is a paucity of information regarding how individual ex19del variants influence protein structure and function. Herein, we identified allele-specific functional differences among ex19del variants attributable to recurring sequence and structure motifs. We built all-atom structural models of 60 ex19del variants identified in patients and combined molecular dynamics simulations with biochemical and biophysical experiments to analyze three ex19del mutations (E746_A750, E746_S752 > V, and L747_A750 > P). We demonstrate that sequence variation in ex19del alters oncogenic cell growth, dimerization propensity, enzyme kinetics, and tyrosine kinase inhibitor (TKI) sensitivity. We show that in contrast to E746_A750 and E746_S752 > V, the L747_A750 > P variant forms highly active ligand-independent dimers. Enzyme kinetic analysis and TKI inhibition experiments suggest that E746_S752 > V and L747_A750 > P display reduced TKI sensitivity due to decreased adenosine 5'-triphosphate Km. Through these analyses, we propose an expanded framework for interpreting ex19del variants and considerations for therapeutic intervention.

Accommodation of ring C expanded deoxyvasicinone in the HDAC inhibitory pharmacophore culminates into a tractable anti-lung cancer agent and pH-responsive nanocarrier

A fragment recruitment process was conducted to pinpoint a suitable fragment for installation in the HDAC inhibitory template to furnish agents endowed with the potential to treat lung cancer. Resultantly, Ring C expanded deoxyvasicinone was selected as an appropriate surface recognition part that was accommodated in the HDAC three-component model. Delightfully, fused quinazolinone 6 demonstrating a magnificent anticancer profile against KRAS and EGFR mutant lung cancer cell lines (IC50 = 0.80–0.96 μM) was identified. Results of the mechanistic studies confirmed that the cell growth inhibitory effects of compound 6 stems for HDAC6 (IC50 = 12.9 nM), HDAC1 (IC50 = 49.9 nM) and HDAC3 inhibition (IC50 = 68.5 nM), respectively. Compound 6 also suppressed the colony formation ability of A549 cells, induced apoptosis, and increased autophagic flux. Key interactions of HDAC inhibitor 6 within the active site of HDAC isoforms were figured out through molecular modeling studies. Furthermore, a pH-responsive nanocarrier (Hyaluronic acid - fused quinazolinone 6 nanoparticles) was designed and assessed using a dialysis bag approach under both normal and acidic circumstances that confirmed the pH-sensitive nature of NPs. Delightfully, the nanoparticles demonstrated selective cell viability reduction potential towards the lung cancer cell lines (A549 lung cancer cell lines) and were found to be largely devoid of cell growth inhibitory effects under normal settings (L929, mouse fibroblast cells).

CD8+ T-cell Responses Are Boosted by Dual PD-1/VEGFR2 Blockade after EGFR Inhibition in Egfr-Mutant Lung Cancer.

Epidermal growth factor receptor (EGFR) is the most frequently mutated driver oncogene in nonsmoking-related, non-small cell lung cancer (NSCLC). EGFR-mutant NSCLC has a noninflamed tumor microenvironment (TME), with low infiltration by CD8+ T cells and, thus, immune-checkpoint inhibitors, such as antiprogrammed cell death-1 (anti-PD-1), have weak antitumor effects. Here, we showed that CD8+ T-cell responses were induced by an EGFR-tyrosine kinase inhibitor (TKI) in syngeneic Egfr-mutant NSCLC tumors, which was further pronounced by the sequential dual blockade of PD-1 and vascular endothelial growth factor receptor 2 (VEGFR2). However, the simultaneous triple blockade had no such effect. The PD-1/VEGFR2 dual blockade did not exert tumor-inhibitory effects without pretreatment with the EGFR-TKI, suggesting that the treatment schedule is crucial for the efficacy of the dual blockade therapy. Pretreatment with EGFR-TKI increased the CD8+ T-cell/regulatory T-cell (Treg) ratio, while also increasing the expression of immunosuppressive chemokines and chemokine receptors, as well as increasing the number of M2-like macrophages, in the TME. Discontinuing EGFR-TKI treatment reversed the transient increase of immunosuppressive factors in the TME. The subsequent PD-1/VEGFR2 inhibition maintained increased numbers of infiltrating CD8+ T cells and CD11c+ dendritic cells. Depletion of CD8+ T cells in vivo abolished tumor growth inhibition by EGFR-TKI alone and the sequential triple therapy, suggesting that EGFR inhibition is a prerequisite for the induction of CD8+ T-cell responses. Our findings could aid in developing an alternative immunotherapy strategy in patients with cancers that have driver mutations and a noninflamed TME.

Patients deriving long-term benefit from immune checkpoint inhibitors demonstrate conserved patterns of site-specific mutations

Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy and are now the preferred treatment for several tumor types. Though ICIs have shown remarkable efficacy in several cancer histologies, in many cases providing long-term disease control, not all patients will derive clinical benefit from such approaches. Given the lack of a reliable predictive biomarker for therapeutic responses to ICIs, we conducted a retrospective analysis of publicly available genomic data from a large pan-cancer cohort of patients receiving ICI-based immunotherapy. Consistent with previous results, patients in the combined cohort deriving a long-term survival benefit from ICIs were more likely to have a higher tumor mutational burden (TMB). However, this was not uniform across tumor-types, failing to predict for long-term survivorship in most non-melanoma cancers. Interestingly, long-term survivors in most cancers had conserved patterns of mutations affecting several genes. In melanoma, this included mutations affecting TET1 or PTPRD. In patients with colorectal cancer, mutations affecting TET1, RNF43, NCOA3, LATS1, NOTCH3, or CREBBP were also associated with improved prognosis, as were mutations affecting PTPRD, EPHA7, NTRK3, or ZFHX3 in non-small cell lung cancer, RNF43, LATS1, or CREBBP mutations in bladder cancer, and VHL mutations in renal cell carcinoma patients. Thus, this study identified several genes that may have utility as predictive biomarkers for therapeutic responses in patients receiving ICIs. As many have no known relationship to immunotherapy or ICIs, these genes warrant continued exploration, particularly for cancers in which established biomarkers such as PD-L1 expression or TMB have little predictive value.

MO1-6 Characteristics of the tissue obtained in biopsy affecting the success rate of NGS testing in advanced NSCLC patients

Next-generation sequencing (NGS), Oncomine TM DX Target Test (ODxTT) companion diagnostics (CDx) system, has been introduced to screen oncogenic driver mutations in advanced non-small cell lung cancer (NSCLC). It is well known that obtaining tissue with large size and high tumor content is essential for appropriate NGS testing. On the other hands, it remains unclear what kind of the characteristics of tissue obtained by biopsy is related to high success rate in advanced NSCLC patients.

The Current Landscape for METex14 Skipping Mutations in Non-Small Cell Lung Cancer.

Capmatinib and tepotinib received US Food and Drug Administration (FDA) approval for mesenchymal-epithelial transition (MET) exon 14 (METex14) skipping alteration in 2020 and 2021, respectively. Capmatinib was FDA approved in May 2020 under accelerated approval for the treatment of patients with metastatic non–small cell lung cancer (NSCLC) whose tumors have a mutation that leads to METex14 skipping. Accelerated approval was based on overall response rate and response duration to capmatinib, and it was granted orphan drug and breakthrough therapy designation. Capmatinib is a potent selective kinase inhibitor of the MET receptor, crosses the blood-brain barrier, and has shown low-grade adverse events. Based on phase II data, capmatinib demonstrated an overall response rate (ORR) of 41% and a median duration of response (DOR) of 9.7 months in those who previously received one or two lines of therapy. In treatment-naive patients, capmatinib demonstrated a 68% ORR with a median DOR of 12.6 months. The FDA also granted accelerated approval to tepotinib for adult patients with metastatic NSCLC harboring METex14 skipping alteration. Accelerated approval for tepotinib was based on an ORR of 43% with a median DOR of 10.8 months in treatment-naive patients. Among previously treated patients, the ORR was 43% with a median DOR of 11.1 months. Continued approval for capmatinib and tepotinib is contingent upon confirmatory trials. Both agents are now considered first-line therapy or a subsequent therapy option in patients with metastatic NSCLC who are positive for METex14 skipping alterations.

Amivantamab and Mobocertinib in Exon 20 insertions EGFR Mutant Lung Cancer, Challenge To The Current Guidelines

In 2021, the US Food and Drug Administration (FDA) approved two drugs targeting exon 20 directly: amivantamab and mobocertinib, under the accelerated approval pathway, for adult patients with locally advanced or metastatic non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) exon 20 insertion mutations, whose disease has progressed on or after platinum-based chemotherapy. Here we discuss questions regarding the core question of an “unmet need” within the accelerated approval pathway, contending that equipoise remain between the new compounds and previously existing options. Second, the NCCN's guidelines are currently recommending to sequence both drugs, a recommendation that is not based on any data. Last, post-marketing requirements may not shed clarity in the setting of these approvals. Our analysis has implications beyond patients with exon 20 insertion. In an era with growing identification of new and rarer molecular entities, misguided incorporation of new compounds into practice may obstruct trial enrollment in decisive clinical trials.

SY21-4 Mechanisms of resistance to RAS-targeting therapies

KRAS mutations are present in approximately 25% of tumors, making them one of the most common gene mutations linked to cancer. Because of the smooth surface of KRAS protein, the protein deemed undruggable more than 30 years. However, recent development of mutant KRAS specific inhibitors pave the way to treat KRAS mutant cancer. Among them, KRAS G12C inhibitors sotorasib and adagrasib have showed approximately 40% response rate, leading to FDA approval of sotorasib for the treatment of KRAS G12C mutant lung cancer.

Characteristic computed tomography features in mesenchymal-epithelial transition exon14 skipping-positive non-small cell lung cancer

BackgroundMesenchymal-epithelial transition exon14 (METex14) skipping is one of the therapeutic driver oncogene mutations in non-small cell lung cancer (NSCLC), and can be treated with tepotinib and capmatinib. There is only one report on computed tomography (CT) findings of METex14 skipping-positive NSCLC, which shows that the primary tumor tends to have a large mass in the upper lobe, and extrathoracic metastases are common. This study examined the CT findings of METex14 skipping-positive NSCLC, focusing on the features of the margins and internal structures.MethodsWe consecutively included patients with METex14 skipping-positive NSCLC who were diagnosed between January 2018 and December 2020 at four independent institutions. We retrospectively reviewed the patient demographics and CT findings for tumor margins (invasion into surrounding tissue, lobulation, pleural indentation, spicula, and ground-glass opacity) and internal structures (air bronchograms, cavitation and internal low-density area).ResultsFifteen patients with METex14 skipping-positive NSCLC were identified. Almost half of the patients were men (7/15; 46.7%), and their median age was 75.0 years. More than half were either current or former smokers (9/15; 60.0%). A vast majority of histological subtypes were adenocarcinoma (10/15; 66.7%), followed by pleomorphic carcinoma (3/15; 20.0%) and squamous cell carcinoma (2/15; 13.3%). With regard to CT findings, most primary tumors presented as masses larger than 30 mm (12/15; 80.0%) and were located in the upper lobes (12/15; 80.0%). Invasion into surrounding tissue and presence of internal low-density areas were observed in 60.0% (9/15) and 66.7% (10/15) of the primary tumors, respectively. Additionally, their frequencies increased to 72.7% (8/11) and 90.9% (10/11) in stage III/IV cases, respectively. In lymph node metastasis, internal low-density areas were observed in 8/10 cases (80.0%). Although these two CT features were rarely observed in distant metastases at diagnosis, they became apparent with progression of the metastatic tumor size.ConclusionsMETex14 skipping-positive NSCLC tumors tend to invade surrounding tissue and possess internal low-density areas. These CT findings might be characteristic of METex14 skipping-positive NSCLC.

Clinical impact of STK11 mutation in advanced-stage non-small cell lung cancer

BackgroundMutations in STK11/LKB1 gene present a negative impact on tumour immune microenvironment, especially with concomitant activating KRAS mutation. These recent data may explain a decreased response to immunotherapy treatment in STK11 mutant non-small cell lung cancer (NSCLC). ObjectiveThe primary objective is to evaluate, in a real-life setting, overall survival (OS) in patients with NSCLC according to the presence of STK11 mutation. The secondary objective is to assess time to treatment failure (TTF) for the first-line chemotherapy or immunotherapy. MethodsThis observational multicentric study was conducted in Nouvelle-Aquitaine (France), for 24 months. Clinical, histopathological and imagery data were collected in each centre while the next-generation sequencing analysis was performed in Bordeaux Hospital University. Patient's data were longitudinally followed from NSCLC diagnosis date to the occurrence of censoring events (therapeutic failure or death, as applicable) or until the study end date. Resultsmedian OS from the first drug administration was significantly longer for STK11wt patients than STK11mut patients (16.2 months [11 - nr] versus 4.7 months [2.5–9.4]; Log-rank test P < 0.001). The Presence of STK11 mutation was significantly associated with shortened OS (RR = 2.26 [1.35–3.79], P = 0.002). First-line TTF was significantly shorter in STK11mut population and the presence of the mutation was significantly associated with an increase in treatment failures (RR = 1.87 [1.21–2.89], P = 0.005). The type of treatment (chemotherapy, immunotherapy) does not influence the amplitude of reduced TTF in patients with STK11mut. ConclusionThe presence of STK11 mutation is associated with poor prognosis in NSCLC.

Explainable Machine Learning Model to Prediction EGFR Mutation in Lung Cancer.

ObjectivesThe aim of this study is to determine whether the clinical features including blood markers can establish an explainable machine learning model to predict epidermal growth factor receptor (EGFR) mutation in lung cancer.MethodsWe retrospectively analyzed 7,413 patients with lung adenocarcinoma (LA) diagnosed by gene sequencing in West China Hospital of the Sichuan University from April 2015 to June 2019. The machine learning algorithms (MLAs) included logistic regression (LR), random forest (RF), LightGBM, support vector machine (SVM), multi-layer perceptron (MLP), extreme gradient boosting (XGBoost), and decision tree (DT). Demographic characteristics, personal history, and blood markers were taken into. The area under the receiver operating characteristic curve (AUC) and SHapley Additive exPlanation (SHAP) value were used to explain the prediction models.ResultsOf the 7,413 patients with LA (47.6%), 3,527 were identified with EGFR mutation; RF achieved greatest performance in predicting EGFR mutation AUC [0.771, 95% confidence interval (CI): 0.770, 0.772], which was like XGBoost with AUC (0.740, 95% CI: 0.739, 0.741). The five most influential features were smoking consumption, sex, cholesterol, age, and albumin globulin ratio. The SHAP summary and dependence plot have been used to explain the affection of the 12 features to this model and how a single feature influences the output, respectively.ConclusionWe established EGFR mutation prediction models by MLAs and revealed that the RF was preferred, AUC (0.771, 95% CI: 0.770, 0.772), which was better than the traditional models. Therefore, the artificial intelligence–based MLA predicting model may become a practical tool to guide in diagnosis and therapy of LA.

Abstract 1093: BRD9 inhibition overcomes epithelial to mesenchymal transition (EMT)-associated tyrosine kinase inhibitor (TKI) tolerance in epidermal growth factor receptor (EGFR) mutant lung cancer

Abstract Advanced lung cancer patients that present with activating mutations in the epidermal growth factor receptor (EGFR) are treated with EGFR tyrosine kinase inhibitors (EGFR TKIs). While initially effective, all patients eventually develop therapeutic resistance and experience disease progression. Strategies to prevent EGFR TKI resistance are needed to improve patient outcomes. We chronically exposed H1975 cells (EGFR-L858R/T790M) to EGFR TKI osimertinib to study emergence of resistance. H1975 cells that were expanded under drug treatment (designated H1975OR) acquired an EMT phenotype and were re-sensitized to EGFR TKI upon prolonged drug withdrawal. These features led us to classify H1975OR as a model of drug tolerance rather than a model of stable drug resistance. Bulk RNA-sequencing revealed significant dysregulation of chromatin modifying genes in H1975OR. Bromodomain containing protein 9 (BRD9) was among the set of significantly upregulated chromatin regulators and was selected for further investigation as a mediator of drug tolerance. Although BRD9 is known to control stemness and EMT, its role in promoting EMT-associated TKI resistance is unknown. To test the contribution of BRD9 to EGFR TKI tolerance, pharmacological inhibition of BRD9 by the selective inhibitor, I-BRD9 significantly increased sensitivity to TKI in models with EMT phenotypes (IC50 reduced 3-4 fold). In contrast, I-BRD9 did not affect TKI sensitivity in two models where EGFR TKI resistance was genetically fixed. To gain mechanistic insights, H1975OR cells were treated with osimertinib +/-I-BRD9 and subjected to RNA-sequencing. Combination of osimertinib with I-BRD9 resulted in a significant decrease in EMT-related genes, including MMP9, Zeb2, PDGFRb and IL6. Further, use of I-BRD9 in these models diminished the mesenchymal phenotype, as measured in cell invasion assays. Genetic knockdown of BRD9 via shRNA phenocopied effects of I-BRD9 treatment, supporting BRD9 as the therapeutic target of I-BRD9 in our cell line models. To further establish a role for BRD9 in the emergence of drug tolerant cells, we exposed treatment naïve H1975 cells to EGFR TKI ± I-BRD9. I-BRD9 significantly decreased the size of the EGFR TKI tolerant population. In time course studies, I-BRD9 also delayed onset of TKI resistance. In conclusion, our data identifies BRD9 as a novel mediator of EMT-associated EGFR-TKI tolerance in EGFR-mutant lung cancer. Our data further implicates BRD9 inhibition as a novel strategy to delay the emergence of drug tolerant cells that eventually give rise to stable drug resistance. This work was supported by the Roswell Park Alliance Foundation and National Cancer Institute (NCI) grant P30CA016056 involving the use of Roswell Park Comprehensive Cancer Center’s Genomics and Bioinformatics Shared Resources. Citation Format: Hannah Calkins, Tatiana Shaurova, David W. Goodrich, Mukund Seshadri, Candace S. Johnson, Pamela A. Hershberger. BRD9 inhibition overcomes epithelial to mesenchymal transition (EMT)-associated tyrosine kinase inhibitor (TKI) tolerance in epidermal growth factor receptor (EGFR) mutant lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1093.

Abstract 2143: Clinicopathologic, genomic and immunophenotypic landscape of ATM mutations in non-small cell lung cancer

Abstract Introduction: Defective DNA damage repair machinery is a hallmark of cancer, resulting in increased mutation rates and genomic instability. In non-small cell lung cancer (NSCLC), ATM is mutated in ~10% of cases, representing the most commonly mutated DNA damage and repair gene. However, the clinicopathologic, genomic, and immunophenotypic correlates of ATM mutations in NSCLC are unknown. The impact of ATM mutation on clinical outcomes to PD-(L)1 blockade is also unclear. Methods: Clinicopathologic and genomic data were collected from 3592 patients (pts) with NSCLC who had consented to correlative studies at the Dana-Farber Cancer Institute (DFCI), and whose tumors underwent genomic profiling (OncoPanel). Multiplexed immunofluorescence (mIF) for CD8, PD1, PD-L1, FOXP3, and CK AE1/AE3 was performed on a subset of 416 NSCLC samples to examine tumor-infiltrating immune cells. ATM immunohistochemistry (IHC) was also performed on 184 ATM mutated NSCLCs with available tissue. ATM mutated (ATMMUT) tumors were defined as harboring loss-of-function mutations (nonsense, frameshift, splice site, known deleterious missense mutations). Missense mutation of unknown significance were excluded, unless deemed to affect protein function in silico. Tumors lacking ATM mutations or harboring benign ATM alterations were defined as ATM wild type (ATMWT). Results: A total of 399 deleterious ATM mutations were identified in 10.2% (365/3592) of samples; 138 (34.6%) mutations were truncating (nonsense, frameshift, and splice site mutations); the remaining 261 (65.4%) were missense mutations. Truncating mutations were significantly more likely to result in ATM loss by IHC compared to missense mutations (71.4% vs 28.9%, P&amp;lt;0.01) When we examined the genomic profiles of tumors with versus without deleterious ATM mutations, we found that ATMMUT NSCLCs were significantly enriched with KRAS, STK11, RBM10, and KDM5C co-mutations (P&amp;lt;0.01), while co-mutations in EGFR, CDKN2A and TP53 were nearly mutually exclusive (P&amp;lt;0.01). Among ATMMUT NSCLCs, those with ATM loss by IHC were significantly enriched with KRAS and STK11 co-mutations, while those with retained ATM expression were enriched with TP53 co-mutations (P&amp;lt;0.01). Pts with ATMMUT NSCLCs had similar outcomes to PD-(L)1 inhibition +/- chemotherapy, compared to ATMWT cases, and similar immune cell subsets infiltration (P&amp;gt;0.05). Pts with deleterious mutations in ATM and TP53 (ATMMUT/TP53MUT) had increased response rates to chemo-immunotherapy compared to those with ATMMUT/TP53WT, ATMWT/TP53MUT, or ATMWT/TP53WT genotypes (70% vs 56.2% vs 35.7% vs 27.4%, respectively, P=0.01), as well as increased tumor-stroma interface CD8+ T cells (P&amp;lt;0.01) and higher PD-L1 expression by mIF on tumor (P&amp;lt;0.01) and immune cells (P&amp;lt;0.01). Conclusion: Deleterious ATM mutations defined a subset of NSCLC with unique clinicopathologic, genomic, and immunophenotypic features. Citation Format: Biagio Ricciuti, Joao Victor Alessi, Xinan Wang, Arrien A. Bertram, Victor R. Vaz, Mizuki Nishino, James Lindsay, Kristen D. Felt, Bijaya Sharma, Lynette M. Sholl, Rodig Scott, Mark M. Awad, Michael L. Cheng. Clinicopathologic, genomic and immunophenotypic landscape of ATM mutations in non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2143.

Abstract 5710: Identification of convergent gene repression mechanisms through integrative genomic and DNA methylation analysis in TRACERx

Abstract Introduction: Lung TRACERx is a prominent study employing multi-region and longitudinal multi-omics sequencing to unravel the evolutionary trajectories of lung cancer. Aberrant DNA methylation patterns have been widely described in nearly all human cancers, yet their interplay with DNA mutations in lung cancer is not well understood. Incorporating the contribution of epigenetic modifications to cancer evolution trajectories within TRACERx could improve our understanding of the intricate relationship between genetic and epigenetic changes in non-small cell lung cancer (NSCLC) evolution. Methods: Multi-region sampling from 38 TRACERx patients including 112 tumor regions and 37 matched normal adjacent tissue samples was performed. Reduced representation bisulfite sequencing (RRBS) was performed to assess DNA methylation and the CAMDAC (Larose-Cadieux et al, 2020) was applied to estimate purified tumor methylation rates and correct for copy number changes. Whole exome sequencing and somatic copy number alterations (SCNAs) were inferred using the ASCAT tool (Van Loo et al, 2010) and Methsig (Pan et al, 2021) was performed to discover new methylation driver genes. Results: Using multi-region sequencing, we identified ubiquitous hypermethylation of 29 known driver genes in both lung adenocarcinoma (LUAD) and squamous cell lung cancer (LUSC), together with an additional 9 and 27 genes exclusive to LUSC and LUAD, respectively. We also identified 13 and 7 driver genes non-ubiquitously hypermethylated exclusively in LUSC and LUAD, respectively. Using a differential methylation based approach, we describe a method to determine the extent of intra-tumor methylation heterogeneity akin to established ITH scores based on genomics data. In addition, we report the identification of novel subtype-specific methylation driver genes enriched in HOX family members which are related to cancer progression. Through integration of DNA methylation and genomic sequencing data, we identify parallel mechanisms contributing towards ubiquitous tumor suppressor gene alterations. At the patient level, multiple driver genes such as NSD1, GATA3 and MGA were subject to repression by both copy number loss and DNA hypermethylation. Finally, we describe dosage-compensation of genes such as the Notch ligands JAG2 and DLK1 that are proximal to amplified oncogenes and hypermethylated during tumor evolution. Conclusion: We describe the contribution of DNA methylation and genomic alterations to altering the landscape of NSCLC. Leveraging DNA methylation, we can determine the extent of convergent repression mechanisms in different regions of the same tumor, assess DNA methylation heterogeneity, and discover DNA methylation-based driver genes in NSCLC. Citation Format: Francisco Gimeno-Valiente, Carla Castignani, Elizabeth Larose-Cadieux, Kezhong Chen, Nana Mensah, Olga Chervova, Thomas Watkins, Pawan Dhami, Heli Vaikkinen, Andrew Feber, TRACERx Consortium, Jonas Demeulemeester, Miljana Tanic, Stephan Beck, Peter Van Loo, Charles Swanton, Nnennaya Kanu. Identification of convergent gene repression mechanisms through integrative genomic and DNA methylation analysis in TRACERx [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5710.