KEAP1 Mutations Research Articles

PATH-61. GENOMIC SIGNATURE IN NON-SMALL CELL LUNG CANCER PATIENTS METASTATIC TO BRAIN-A SINGLE INSTITUTION EXPERIENCE

Abstract BACKGROUND Lung cancer is leading cause of cancer-related death in US, with 10-30 % of NSCLC patients developing brain metastasis, which challenges curative treatment and life expectancy. Somatic mutations in KRAS and EGFR genes have been commonly implicated with brain metastasis. Other studies have shown higher amplification frequencies in MYC, YAP1, and MMP13 and deletions in CDKN2A/B. METHODS We conducted a retrospective study on observational cohort of NSCLC patients from January 2022 to July 2023, using IRB-approved data in patients with confirmed brain metastasis (CBS). Beyond demographic information, data on genomic signatures was obtained from maximum parallel/next-generation sequencing on tumor biopsy samples. Comparative analysis was conducted to predict commonalities in brain metastasis gene signatures. RESULTS The study involved 143 newly diagnosed lung cancer patients, with 29 having CBS. Genomic data was available in 24 patients. Most common abnormality was noted in TP53 gene in about 47% of patients, followed by LRP1B (12%). Mutations in KRAS, EGFR, NF1, MET, SMARCA4, KEAP1, and STK11 genes were seen in two patients each. Interestingly, 3 of 4 patients with LRP1B had brain metastasis. Actionable mutations/rearrangements were significantly lower compared to general prevalence of these mutations (KRAS gene 8% and EGFR gene 5%). CONCLUSIONS Lung cancer with brain metastasis has an abysmal prognosis due to poor CNS penetration of chemotherapeutic agents. Surgical resection and RT remain cornerstones of treatment, but certain TKI has shown some potential. Our study uncovered a notably higher prevalence of TP53 mutation among patients with brain metastasis. While patient cohort was small, those harboring an LRP1B mutation exhibited significantly higher incidence of brain metastasis. Contrary to prevalent epidemiological data, our patient population demonstrated a lower frequency of targetable mutations (specifically in EGFR and KRAS genes). We hypothesize that this observation is due to a markedly higher smoking prevalence in our region.

A novel double fusion of EML4-ALK and PLEKHA7-ALK contribute to rapid progression of lung adenocarcinoma: a case report and literature review

A 40-year-old male with EML4-ALK (E6:A20) fusion variant 3 and previously unreported PLEKHA7-ALK (P3:A20) fusion in lung adenocarcinoma exhibited resistance to alectinib and chemotherapy. Subsequent next-generation sequencing (NGS) from the plasma specimen revealed the co-existing mutation in the KEAP1 gene, which may represent an intrinsic resistance to ALK-TKI. Furthermore, the presence of double fusion PLEKHA7-ALK (P3:A20) may also have played a critical role in the resistance to alectinib. KEAP1 mutation (p.E244K) was also founded in this patient which may lead to resistance to standard chemotherapy. The patient was then treated with brigatinib, which effectively halted the rapid progression. Unfortunately, the patient deceased to uncontrollable, rapidly progressing pleural effusion and pulmonary embolism, resulting in an overall survival of 9 months. This represents the rare case of NSCLC with a double fusion of EML4-ALK and PLEKHA7-ALK, exhibiting resistance to alectinib and chemotherapy. Our case suggests that the double fusion of EML4-ALK and PLEKHA7-ALK and co-existing KEAP1 mutation may serve as an adverse prognostic factor. Additionally, brigatinib may offer a potential treatment option for lung adenocarcinoma patients with PLEKHA7-ALK (P3:A20) fusion.

ML385, an Nrf2 Inhibitor, Synergically Enhanced Celastrol Triggered Endoplasmic Reticulum Stress in Lung Cancer Cells.

Lung cancer is one of the leading causes of death. Celastrol is a natural product that has shown anticancer activity but has not yet been applied in clinical settings due to its narrow therapeutic window. In this study, we discovered that celastrol stimulates an abnormal rise in the reactive oxygen species (ROS) level in lung cancer cells and that the ROS scavenger N-acetylcysteine (NAC) could counteract the cell death caused by celastrol. At the same time, celastrol upregulated the expression of cytoprotective transcription factor Nrf2 and its downstream proteins, which are effective in preventing the oxidative damage caused by ROS accumulation. Notably, we found that the overexpression of Nrf2 enhances the tolerance of lung cancer cells to celastrol and that lung cancer cells H460 with a Keap1 mutation are insensitive to celastrol. This indicates that the increase in Nrf2 contributes to the survival of lung cancer cells. Thus, we brought in an Nrf2 inhibitor ML385 to suppress the activation of Nrf2. We found that when ML385 and celastrol were added together the survival rates of lung cancer cells decreased more and the detected ROS level became much higher compared to treatment with celastrol alone. We also discovered that ML385 suppressed the expression of HO-1 and GCLC, which amplified celastrol-induced ATF4/CHOP-dependent endoplasmic reticulum stress (ER stress). Above all, our study found that ML385 enhanced celastrol-induced increases in ROS and ER stress, leading to lung cancer cell death. This research provides a potential strategy for the preclinical investigation of celastrol.

8588 Cribriform Thyroid Cancer with Novel STK11 and KEAP1 Mutations

8588 Cribriform Thyroid Cancer with Novel STK11 and KEAP1 Mutations

P4.11D.01 TRITON: Tremelimumab + Durvalumab + Chemotherapy (CT) vs Pembrolizumab + CT in mNSCLC with STK11, KEAP1 and/or KRAS Mutations

P4.11D.01 TRITON: Tremelimumab + Durvalumab + Chemotherapy (CT) vs Pembrolizumab + CT in mNSCLC with STK11, KEAP1 and/or KRAS Mutations

Integrated proteomic and glycoproteomic analysis reveals heterogeneity and molecular signatures of brain metastases from lung adenocarcinomas

Brain metastasis is a major cause of poor prognosis and death in lung adenocarcinoma (LUAD); however, the understanding of therapeutic strategies and mechanisms for brain metastases from LUAD (BM-LUAD) remains notably limited, especially at the proteomics levels. To address this issue, we conducted integrated proteomic and glycoproteomic analyses on 49 BM-LUAD tumors, revealing two distinct subtypes of the disease: BM-S1 and BM-S2. Whole exome sequencing analysis revealed that somatic mutations in STK11 and KEAP1, as well as copy number deletions on chr19p13.3, such as STK11, UQCR11, and SLC25A23, were more frequently detected in BM-S2. In BM-S1 tumors, we observed significant infiltration of GFAP + astrocytes, as evidenced by elevated levels of GFAP, GABRA2, GABRG1 and GAP43 proteins and an enrichment of astrocytic signatures in both our proteomic data and external spatial transcriptomic data. Conversely, BM-S2 tumors demonstrated higher levels of PD-1 immune cell infiltration, supported by the upregulation of PD-1 and LAG-3 genes. These findings suggest distinct microenvironmental adaptations required by the different BM-LUAD subtypes. Additionally, we observed unique glycosylation patterns between the subtypes, with increased fucosylation in BM-S1 and enhanced sialylation in BM-S2, primarily affected by glycosylation enzymes such as FUT9, B4GALT1, and ST6GAL1. Specifically, in BM-S2, these sialylation modifications are predominantly localized to the lysosomes, underscoring the critical role of N-glycosylation in the tumor progression of BM-LUAD. Overall, our study not only provides a comprehensive multi-omic data resource but also offers valuable biological insights into BM-LUAD, highlighting potential mechanisms and therapeutic targets for further investigation.

SMARCA4 mutations and expression in lung adenocarcinoma: prognostic significance and impact on the immunotherapy response.

The switch/sucrose non-fermenting (SWI/SNF) complex family includes important chromatin-remodeling factors that are frequently mutated in lung adenocarcinoma (LUAD). However, the role of one family member, SMARCA4, in LUAD prognosis and immunotherapy sensitivity remains unclear. In the present study, 6745 LUAD samples from the cBioPortal database were used to analyze the relationships between SMARCA4 mutations and patient prognoses and clinical characteristics. Additionally, we examined the correlation between SMARCA4 mutations and prognosis in patients treated with immunotherapy using two immune-related datasets. SMARCA4 mutations and low expression were associated with shorter survival, and mutations were associated with a high tumor mutational burden and high microsatellite instability. SMARCA4 mutations were accompanied by KRAS, KEAP1, TP53 and STK11 mutations. No significant difference was observed in the immunotherapy response between patients with and without SMARCA4 mutations. When KRAS or STK11 mutations were present, immunotherapy effectiveness was poorer; however, when both SMARCA4 and TP53 mutations were present, immunotherapy was more effective. Furthermore, low SMARCA4 expression predicted a higher immunophenoscore, and SMARCA4 expression was correlated with certain immune microenvironment features. Taken together, our results suggest that SMARCA4 mutations and low expression might be associated with poor LUAD prognosis. Additionally, immunotherapy efficacy in patients with SMARCA4 mutations depended on the co-mutant genes. Thus, SMARCA4 could be an important factor to be considered for LUAD diagnosis and treatment.

Corrigendum: TP53 co-mutations in advanced lung adenocarcinoma: comparative bioinformatic analyses suggest ambivalent character on overall survival alongside KRAS, STK11 and KEAP1 mutations

Corrigendum: TP53 co-mutations in advanced lung adenocarcinoma: comparative bioinformatic analyses suggest ambivalent character on overall survival alongside KRAS, STK11 and KEAP1 mutations

Molecular profiling METex14+ non-small cell lung cancer (NSCLC): Impact of histology

ObjectivesMET exon 14 skipping alterations (METex14+) represent a heterogeneous subgroup of non-small cell lung cancer (NSCLC) with distinct biological and genomic features. We characterized this heterogeneity in a large cohort, integrating genomic and transcriptomic profiling with clinical outcomes, to elucidate the histologic and molecular traits and survival patterns of METex14+ NSCLC. Materials and methodsNSCLC tissue samples (n = 28,739) underwent DNA-based next-generation sequencing (592 genes, NextSeq) or whole-exome sequencing (NovaSeq), RNA-sequencing including whole transcriptome sequencing (WTS, NovaSeq), and PD-L1 IHC (Dako 22C3) at Caris Life Sciences. Immune cell fractions were estimated from bulk RNA sequencing (quanTIseq). Real-world survival data (mOS) was calculated from insurance claims. Statistical analyses employed Chi-square, Fisher’s exact, or Mann-Whitney U and log-rank tests and were corrected for hypothesis testing where applicable. ResultsA total of 711 METex14+ cases were detected. Of 575 cases of defined histology, 77 (13.6 %) were squamous (Sq), 474 (82.3 %) were nSq (non-squamous), and 24 (4.1 %) were adenosquamous. Mutations in POT1 and BRCA2 were enriched, and amplifications in MDM2, HMGA2, CDK4, and MET were common in METex14+ tumors. TMB-high and TP53 mutated tumors were reduced in METex14+ independent of histology. KEAP1 (2.1 vs 14.7 %) and STK11 mutations (0.8 vs 17.1 %) were reduced only in METex14+ nSq (vs METex14+ Sq, q < 0.05). While the prevalence of PD-L1 high tumors was enriched in METex14+ independent of histology, T-cell inflamed tumors were enriched only in nSq METex14+. B-cells and CD8+ T-cells (1.07–1.43-fold) were enriched in nSq METex14+, and dendritic cells (0.32 fold) were reduced only in METex14+ Sq. METex14+ tumors had a modest improvement in mOS compared to METex14- tumors (mOS = 22.9 m vs 18.6 m, HR = 0.914, p = 0.04). Moreover, METex14+ tumors who received immunotherapy (IO) had a modest improvement in survival (mOS = 27.5 m vs 21.8 m; HR = 0.803, p = 0.03) compared to those who did not receive IO. METex14+ nSq tumors were associated with improved mOS compared to METex14+ Sq tumors (mOS = 27.7 vs 8.9 m, HR = 0.493, p < 0.0001). ConclusionMETex14+ alterations are a heterogeneous subgroup of NSCLC. Our analysis reveals that METex14+ nSq exhibit improved survival compared to METex14+ Sq. The distinct genomic and transcriptomic variations across histologies warrant clinical consideration.

3P Metabolic reprogramming induced by KEAP1 mutation in NSCLC

3P Metabolic reprogramming induced by KEAP1 mutation in NSCLC

Radiogenomics models for predicting prognosis in locally advanced non-small cell lung cancer patients undergoing definitive chemoradiotherapy.

Definitive chemoradiotherapy (dCRT) is the cornerstone for locally advanced non-small cell lung cancer (LA-NSCLC). The study aimed to construct a multi-omics model integrating baseline clinical data, computed tomography (CT) images and genetic information to predict the prognosis of dCRT in LA-NSCLC patients. The study retrospectively enrolled 105 stage III LA-NSCLC patients who had undergone dCRT. The pre-treatment CT images were collected, and the primary tumor was delineated as a region of interest (ROI) on the image using 3D-Slicer, and the radiomics features were extracted. The least absolute shrinkage and selection operator (LASSO) was employed for dimensionality reduction and selection of features. Genomic information was obtained from the baseline tumor tissue samples. We then constructed a multi-omics model by combining baseline clinical data, radiomics and genomics features. The predictive performance of the model was evaluated by the area under the curve (AUC) of the receiver operating characteristic (ROC) and the concordance index (C-index). The median follow-up time was 30.1 months, and the median progression-free survival (PFS) was 10.60 months. Four features were applied to construct the radiomics model. Multivariable analysis demonstrated the Rad-score, KEAP1 and MET mutations were independent prognostic factors for PFS. The C-index of radiomics model, genomics model and radiogenomics model all performed well in the training group (0.590 vs. 0.606 vs. 0.663) and the validation group (0.599 vs. 0.594 vs. 0.650). The radiomics model, genomics model and radiogenomics model can all predict the prognosis of dCRT for LA-NSCLC, and the radiogenomics model is superior to the single type model.

Transcriptional Phenocopies of Deleterious KEAP1 Mutations Correlate with Survival Outcomes in Lung Cancer Treated with Immunotherapy.

Co-occurring mutations in KEAP1 and STK11/KRAS have emerged as determinants of survival outcomes in patients with non-small cell lung cancer (NSCLC) treated with immunotherapy. However, these mutational contexts identify a fraction of nonresponders to immune checkpoint inhibitors. We hypothesized that KEAP1 wild-type tumors recapitulate the transcriptional footprint of KEAP1 mutations and that this KEAPness phenotype can determine immune responsiveness with higher precision compared to mutation-based models. The Cancer Genome Atlas was used to infer the KEAPness phenotype and explore its immunological correlates at the pan-cancer level. The association between KEAPness and survival outcomes was tested in two independent cohorts of patients with advanced NSCLC treated with immunotherapy and profiled by RNA sequencing (SU2C n = 153; OAK/POPLAR n = 439). The NSCLC TRACERx421 multiregion sequencing study (tumor regions, n = 947) was used to investigate evolutionary trajectories. KEAPness-dominant tumors represented 50% of all NSCLCs and were associated with shorter progression-free survival (PFS) and overall survival (OS) compared to KEAPness-free cases in independent cohorts of patients with NSCLC treated with immunotherapy (SU2C PFS P = 0.042, OS P = 0.008; OAK/POPLAR PFS P = 0.0014, OS P < 0.001). Patients with KEAPness tumors had survival outcomes comparable to those with KEAP1-mutant tumors. In the TRACERx421, KEAPness exhibited limited transcriptional intratumoral heterogeneity and immune exclusion, resembling the KEAP1-mutant disease. This phenotypic state occurred across genetically divergent tumors, exhibiting shared and private cancer genes under positive selection when compared to KEAP1-mutant tumors. We identified a KEAPness phenotype across evolutionary divergent tumors. KEAPness outperforms mutation-based classifiers as a biomarker of inferior survival outcomes in patients with NSCLC treated with immunotherapy.

Effects of KRAS, STK11, KEAP1, and TP53 mutations on the clinical outcomes of immune checkpoint inhibitors among patients with lung adenocarcinoma.

This study aimed to identify the associations between individual KRAS, STK11, KEAP1, or TP53 mutations, as well as the comutation status of these genes, and the tumor mutation burden (TMB) with clinical outcomes of lung adenocarcinoma patients treated with immune checkpoint inhibitors (ICIs). We collected data from patients with lung adenocarcinoma treated with ICIs from the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) database between June 2019 and August 2023. The main endpoints were the treatment response and overall survival (OS). Among 343 patients with lung adenocarcinoma, 61 (18%), 69 (20%), 41 (12%), and 222 (65%) patients had KRAS, STK11, KEAP1, and TP53 mutations, respectively. An overall objective response was observed in 94 of 338 patients (28%), including 2 (1%) who achieved a complete response and 92 (27%) who achieved a partial response. Patients with STK11, KEAP1, or TP53 mutations had a significantly greater TMB (P<0.001). According to the univariate analysis, the treatment response was significantly correlated with TP53 mutation in both the general (P = 0.041) and KRAS wild-type (P = 0.009) populations. KEAP1 and TP53 mutations were associated with worse OS among assessable patients (hazard ratio (HR) = 2.027, P = 0.002; HR = 1.673, P = 0.007, respectively) and among patients without KRAS mutations (HR = 1.897, P = 0.012; HR = 1.908, P = 0.004, respectively). According to the multivariate analysis, KEAP1 (HR = 1.890, P = 0.008) and TP53 (HR = 1.735, P = 0.011) mutations were found to be independent factors for OS. STK11, KEAP1, and TP53 mutations are significantly associated with a high TMB. TP53 mutation could affect the treatment response to some degree, and both KEAP1 and TP53 mutations resulted in inferior OS in the general patient population and in those with KRAS-wild-type lung adenocarcinoma, indicating that KEAP1 and TP53 mutations might act as prognostic factors for ICI treatment in lung adenocarcinoma patients.

Metabolic stress induces a double-positive feedback loop between AMPK and SQSTM1/p62 conferring dual activation of AMPK and NFE2L2/NRF2 to synergize antioxidant defense

ABSTRACT Co-occurring mutations in KEAP1 in STK11/LKB1-mutant NSCLC activate NFE2L2/NRF2 to compensate for the loss of STK11-AMPK activity during metabolic adaptation. Characterizing the regulatory crosstalk between the STK11-AMPK and KEAP1-NFE2L2 pathways during metabolic stress is crucial for understanding the implications of co-occurring mutations. Here, we found that metabolic stress increased the expression and phosphorylation of SQSTM1/p62, which is essential for the activation of NFE2L2 and AMPK, synergizing antioxidant defense and tumor growth. The SQSTM1-driven dual activation of NFE2L2 and AMPK was achieved by inducing macroautophagic/autophagic degradation of KEAP1 and facilitating the AXIN-STK11-AMPK complex formation on the lysosomal membrane, respectively. In contrast, the STK11-AMPK activity was also required for metabolic stress-induced expression and phosphorylation of SQSTM1, suggesting a double-positive feedback loop between AMPK and SQSTM1. Mechanistically, SQSTM1 expression was increased by the PPP2/PP2A-dependent dephosphorylation of TFEB and TFE3, which was induced by the lysosomal deacidification caused by low glucose metabolism and AMPK-dependent proton reduction. Furthermore, SQSTM1 phosphorylation was increased by MAP3K7/TAK1, which was activated by ROS and pH-dependent secretion of lysosomal Ca2+. Importantly, phosphorylation of SQSTM1 at S24 and S226 was critical for the activation of AMPK and NFE2L2. Notably, the effects caused by metabolic stress were abrogated by the protons provided by lactic acid. Collectively, our data reveal a novel double-positive feedback loop between AMPK and SQSTM1 leading to the dual activation of AMPK and NFE2L2, potentially explaining why co-occurring mutations in STK11 and KEAP1 happen and providing promising therapeutic strategies for lung cancer.Abbreviations: AMPK: AMP-activated protein kinase; BAF1: bafilomycin A1; ConA: concanamycin A; DOX: doxycycline; IP: immunoprecipitation; KEAP1: kelch like ECH associated protein 1; LN: low nutrient; MAP3K7/TAK1: mitogen-activated protein kinase kinase kinase 7; MCOLN1/TRPML1: mucolipin TRP cation channel 1; MEFs: mouse embryonic fibroblasts; MTORC1: mechanistic target of rapamycin kinase complex 1; NAC: N-acetylcysteine; NFE2L2/NRF2: NFE2 like bZIP transcription factor 2; NSCLC: non-small cell lung cancer; PRKAA/AMPKα: protein kinase AMP-activated catalytic subunit alpha; PPP2/PP2A: protein phosphatase 2; ROS: reactive oxygen species; PPP3/calcineurin: protein phosphatase 3; RPS6KB1/p70S6K: ribosomal protein S6 kinase B1; SQSTM1/p62: sequestosome 1; STK11/LKB1: serine/threonine kinase 11; TCL: total cell lysate; TFEB: transcription factor EB; TFE3: transcription factor binding to IGHM enhancer 3; V-ATPase: vacuolar-type H+-translocating ATPase.

PP01.95 STK11, KEAP1, and KRAS mutation epidemiology and real-world outcomes in US patients with newly diagnosed metastatic non-small cell lung cancer

PP01.95 STK11, KEAP1, and KRAS mutation epidemiology and real-world outcomes in US patients with newly diagnosed metastatic non-small cell lung cancer

Lymph node metastasis in early invasive lung adenocarcinoma: Prediction model establishment and validation based on genomic profiling and clinicopathologic characteristics.

The presence of lymph node (LN) metastasis directly affects the treatment strategy for lung adenocarcinoma (LUAD). Next-generation sequencing (NGS) has been widely used in patients with advanced LUAD to identify targeted genes, while early detection of pathologic LN metastasis using NGS has not been assessed. Clinicopathologic features and molecular characteristics of 224 patients from Ruijin Hospital were analyzed to detect factors associated with LN metastases. Another 140 patients from Huashan Hospital were set as a test cohort. Twenty-four out of 224 patients were found to have lymph node metastases (10.7%). Pathologic LN-positive tumors showed higher mutant allele tumor heterogeneity (p < 0.05), higher tumor mutation burden (p < 0.001), as well as more frequent KEAP1 (p = 0.001), STK11 (p = 0.004), KRAS (p = 0.007), CTNNB1 (p = 0.017), TP53, and ARID2 mutations (both p = 0.02); whereas low frequency of EGFR mutation (p = 0.005). A predictive nomogram involving male sex, solid tumor morphology, higher T stage, EGFR wild-type, and TP53, STK11, CDKN2A, KEAP1, ARID2, KRAS, SDHA, SPEN, CTNNB1, DICER1 mutations showed outstanding efficiency in both the training cohort (AUC = 0.819) and the test cohort (AUC = 0.780). This study suggests that the integration of genomic profiling and clinical features identifies early-invasive LUAD patients at higher risk of LN metastasis. Improved identification of LN metastasis is beneficial for the optimization of the patient's therapy decisions.

PPD01.10 Downregulation of Immune-Mediated Pathways in Lung Adenocarcinoma with KEAP1 or STK11 Mutation

PPD01.10 Downregulation of Immune-Mediated Pathways in Lung Adenocarcinoma with KEAP1 or STK11 Mutation

Dietary Walnuts Prevented Indomethacin-Induced Gastric Damage via AP-1 Transcribed 15-PGDH, Nrf2-Mediated HO-1, and n-3 PUFA-Derived Resolvin E1.

Non-steroidal anti-inflammatory drugs (NSAIDs), the most highly prescribed drugs in the world for the treatment of pain, inflammation, and fever, cause gastric mucosal damage, including ulcers, directly or indirectly, by which the development of GI-safer (-sparing) NSAIDs relates to unmet medical needs. This study aimed to document the preventive effects of walnut polyphenol extracts (WPEs) against NSAID-induced gastric damage along with the molecular mechanisms. RGM-1 gastric mucosal cells were administered with indomethacin, and the expressions of the inflammatory mediators between indomethacin alone or a combination with WPEs were compared. The expressions of the inflammatory mediators, including COX-1 and COX-2, prostaglandin E2, 15-hydroxyprostaglandin dehydrogenase (15-PGDH), and antioxidant capacity, were analyzed by Western blot analysis, RT-PCR, and ELISA, respectively. HO-1, Nrf-2, and keap1 were investigated. The in vivo animal models were followed with in vitro investigations. The NSAIDs increased the expression of COX-2 and decreased COX-1 and 15-PGDH, but the WPEs significantly attenuated the NSAID-induced COX-2 expression. Interestingly, the WPEs induced the expression of 15-PGDH. By using the deletion constructs of the 15-PGDH promoter, we found that c-Jun is the most essential determinant of the WPE-induced up-regulation of 15-PGDH expression. We confirmed that the knockdown of c-Jun abolished the ability of the WPEs to up-regulate the 15-PGDH expression. In addition, the WPEs significantly increased the HO-1 expression. The WPEs increased the nuclear translocation of Nrf2 by Keap-1 degradation, and silencing Nrf2 markedly reduced the WPE-induced HO-1 expression. We found that the WPE-induced HO-1 up-regulation was attenuated in the cells harboring the mutant Keap1, in which the cysteine 151 residue was replaced by serine. These in vitro findings were exactly validated in indomethacin-induced gastric rat models. Daily walnut intake can be a promising nutritional supplement providing potent anti-inflammatory, antioxidative, and mucosa-protective effects against NSAID-induced GI damage.

Neutrophil in the suppressed immune microenvironment: Critical prognostic factor for lung adenocarcinoma patients with KEAP1 mutation.

It is still unclear whether KEAP1 mutation is detrimental to immunotherapy of lung adenocarcinoma (LUAD) patients, we try to analyse the exact changes in the TME in LUAD patients with KEAP1 mutations and to identify key factors influencing prognosis. A total of 1,029 patients with lung squamous carcinoma (LUSC) or LUAD with data obtained from The Cancer Genome Atlas were included in this study. The TME and OS of patients with LUAD stratified by mutant versus wild-type KEAP1 status were comprehensively measured. Moreover, we classified LUAD patients with KEAP1 mutations into three subtypes, by unsupervised consensus clustering. We further analysed the TME, OS, commutated genes and metabolic pathways of different subgroups. A total of 40 LUAD patients underwent immunotherapy were collected and classified into mutant KEAP1 group and wild-type KEAP1 group. We also conducted immunohistochemical staining in KEAP1-MT groups. Suppressed TME was observed not only in LUAD patients but also in LUSC patients. LUAD patients with mutant KEAP1 underwent immunotherapy had worse PFS than wild-type KEAP1. Unsupervised consensus clustering analysis suggested that the three subtypes of patients exhibited different densities of neutrophil infiltration and had different OS results: cluster 2 patients had significantly higher levels of neutrophils had significantly worse prognoses than those of patients in clusters 1 and 3 and patients with wild-type KEAP1. Univariate and multivariate Cox analyses proved that a high density of neutrophils was significantly associated with worse OS and immunohistochemical staining proved that shorter PFS showed high density of neutrophils. KEAP1 mutation significantly suppresses the tumour immune microenvironment in LUAD patients. LUAD patients with mutant KEAP1 underwent immunotherapy had worse PFS than with wild-type KEAP1. Neutrophils may play an important role in the prognosis of LUAD patients with KEAP1 mutations and may provide a promising therapeutic target.

METB-06. PEDIATRIC BRAIN TUMOURS: A SINGLE INSTITUTIONAL EXPERIENCE OF NEXT GENERATION SEQUENCING-BASED TARGETED PANEL EVALUATION

Abstract BACKGROUND Pediatric brain tumours (pBT) are molecularly diverse and with the advent of targeted-therapies it is important to decipher molecularly. METHODS Single institutional non-consecutive pBT (&amp;lt;18 years) cohort include – a. high-grade glial tumour (HGG; H3-wildtype, IDH1/2-wildtype, immunohistochemically MMR-protein-proficient, negative for NTRK/ALK-rearrangements by FISH in &amp;lt;3 years), b. high-grade CNS neuroepithelial tumour, NOS (cNET), c &amp; d. pilocytic astrocytoma (LGG-PCA), and low-grade glial/glioneuronal tumour LGG-LGGNT), histologically not typical of PCA nor any defined entity that were negative for BRAFV600mutations, KIAA1549- BRAF (16-9, 15-9, &amp; 16-10) fusions, e. low-grade glial tumour with diffuse architecture (LGG-DLGG) that were negative for IDH1R132/IDH2R172-mutations. These were evaluated for NGS-based-panel (42 genes, 137 RNA fusions, and 24 genes for amplification – STS-plus-panel Sophia Genetics). RESULTS 41 cases (HGG: 12, cNET:2, LGG-PCA: 10 &amp; 1, LGG-LGGNT: 13 &amp; LGG-DLGG: 3) formed the study-cohort. a. HGG: 5 were &amp;lt;3 years (supratentorial [ST]: 3; posterior-3rd-ventricular [p3v]: 1 &amp; posterior-fossa [PF]: 1), 2 showed mutations in TP53-exons 5 &amp; 6 respectively, one ST case showed SND1-AKT2 (9:7) fusion. Of 6-18 years (all ST location), 3 showed TP53-mutations, one showed PDGFA &amp; KIT-amplification with SF3B1-mutation and one showed BRAFV600E-mutation. b. cNET: BRAFV600E and TP53-mutation was observed in each of the case respectively. c. LGG-PCA: one case showed FAM131B-BRAF (2:9) fusion. One KIAA1549- BRAF (15-9) fusion case was evaluated as it progressed, showed additional TP53-mutation. d. LGG-LGGNT: one (4/F; PF location) showed EGFR-gains with TERT-promoter (C228T) mutation (like adult-type glioma), one showed NF1-exon 12 mutation with KIAA1549-RAD51 (18:4) fusion, one showed CDKN2A-exon 2 mutation and one (midbrain) case showed BRAFV600E-mutation. e. LGG-DLGG: one (11/M, occipital-SOL) showed KEAP1-exon 5 mutation with KIAA1549- BRAF (15:9) fusion. CONCLUSIONS TP53-mutations is common in HGG, infantile HGG can show non-ALK/NTRK fusions. LGG can show non-BRAF/KIAA1549-fusions, rarely can show KEAP1 mutations and adult-type-like alterations. Target-panel NGS-based assay can help to molecularly decipher to a certain extent, especially for instituting targeted-therapies.