Immunotherapy has shown limited efficacy in patients with EGFR-mutated lung cancer. Efforts to enhance the immunogenicity of EGFR-mutated lung cancer have been unsuccessful to date. Here, we discover ...that MET amplification, the most common mechanism of resistance to third-generation EGFR tyrosine kinase inhibitors (TKI), activates tumor cell STING, an emerging determinant of cancer immunogenicity (1). However, STING activation was restrained by ectonucleosidase CD73, which is induced in MET-amplified, EGFR-TKI-resistant cells. Systematic genomic analyses and cell line studies confirmed upregulation of CD73 in MET-amplified and MET-activated lung cancer contexts, which depends on coinduction of FOSL1. Pemetrexed (PEM), which is commonly used following EGFR-TKI treatment failure, was identified as an effective potentiator of STING-dependent TBK1-IRF3-STAT1 signaling in MET-amplified, EGFR-TKI-resistant cells. However, PEM treatment also induced adenosine production, which inhibited T-cell responsiveness. In an allogenic humanized mouse model, CD73 deletion enhanced immunogenicity of MET-amplified, EGFR-TKI-resistant cells, and PEM treatment promoted robust responses regardless of CD73 status. Using a physiologic antigen recognition model, inactivation of CD73 significantly increased antigen-specific CD8+ T-cell immunogenicity following PEM treatment. These data reveal that combined PEM and CD73 inhibition can co-opt tumor cell STING induction in TKI-resistant EGFR-mutated lung cancers and promote immunogenicity.
MET amplification upregulates CD73 to suppress tumor cell STING induction and T-cell responsiveness in TKI-resistant, EGFR-mutated lung cancer, identifying a strategy to enhance immunogenicity and improve treatment.
Evolve and resequencing (E&R) was applied to lab adaptation of Toxoplasma gondii for over 1,500 generations with the goal of mapping host-independent in vitro virulence traits. Phenotypic assessments ...of steps across the lytic cycle revealed that only traits needed in the extracellular milieu evolved. Nonsynonymous single-nucleotide polymorphisms (SNPs) in only one gene, a P4 flippase, fixated across two different evolving populations, whereas dramatic changes in the transcriptional signature of extracellular parasites were identified. Newly developed computational tools correlated phenotypes evolving at different rates with specific transcriptomic changes. A set of 300 phenotype-associated genes was mapped, of which nearly 50% is annotated as hypothetical. Validation of a select number of genes by knockouts confirmed their role in lab adaptation and highlights novel mechanisms underlying in vitro virulence traits. Further analyses of differentially expressed genes revealed the development of a “pro-tachyzoite” profile as well as the upregulation of the fatty acid biosynthesis (FASII) pathway. The latter aligned with the P4 flippase SNP and aligned with a low abundance of medium-chain fatty acids at low passage, indicating this is a limiting factor in extracellular parasites. In addition, partial overlap with the bradyzoite differentiation transcriptome in extracellular parasites indicated that stress pathways are involved in both situations. This was reflected in the partial overlap between the assembled ApiAP2 and Myb transcription factor network underlying the adapting extracellular state with the bradyzoite differentiation program. Overall, E&R is a new genomic tool successfully applied to map the development of polygenic traits underlying in vitro virulence of T. gondii. IMPORTANCE It has been well established that prolonged in vitro cultivation of Toxoplasma gondii augments progression of the lytic cycle. This lab adaptation results in increased capacities to divide, migrate, and survive outside a host cell, all of which are considered host-independent virulence factors. However, the mechanistic basis underlying these enhanced virulence features is unknown. Here, E&R was utilized to empirically characterize the phenotypic, genomic, and transcriptomic changes in the non-lab-adapted strain, GT1, during 2.5 years of lab adaptation. This identified the shutdown of stage differentiation and upregulation of lipid biosynthetic pathways as the key processes being modulated. Furthermore, lab adaptation was primarily driven by transcriptional reprogramming, which rejected the starting hypothesis that genetic mutations would drive lab adaptation. Overall, the work empirically shows that lab adaptation augments T. gondii’s in vitro virulence by transcriptional reprogramming and that E&R is a powerful new tool to map multigenic traits.
Some small cell lung cancers (SCLCs) are highly sensitive to inhibitors of the histone demethylase LSD1. LSD1 inhibitors are thought to induce their anti-proliferative effects by blocking ...neuroendocrine differentiation, but the mechanisms by which LSD1 controls the SCLC neuroendocrine phenotype are not well understood. To identify genes required for LSD1 inhibitor sensitivity in SCLC, we performed a positive selection genome-wide CRISPR/Cas9 loss of function screen and found that ZFP36L1, an mRNA-binding protein that destabilizes mRNAs, is required for LSD1 inhibitor sensitivity. LSD1 binds and represses ZFP36L1 and upon LSD1 inhibition, ZFP36L1 expression is restored, which is sufficient to block the SCLC neuroendocrine differentiation phenotype and induce a non-neuroendocrine "inflammatory" phenotype. Mechanistically, ZFP36L1 binds and destabilizes SOX2 and INSM1 mRNAs, two transcription factors that are required for SCLC neuroendocrine differentiation. This work identifies ZFP36L1 as an LSD1 target gene that controls the SCLC neuroendocrine phenotype and demonstrates that modulating mRNA stability of lineage transcription factors controls neuroendocrine to non-neuroendocrine plasticity.
Epithelial-to-mesenchymal transition (EMT) is associated with tumor initiation, metastasis, and drug resistance. However, the mechanisms underlying these associations are largely unknown. We studied ...several tumor types to identify the source of EMT gene expression signals and a potential mechanism of resistance to immuno-oncology treatment. Across tumor types, EMT-related gene expression was strongly associated with expression of stroma-related genes. Based on RNA sequencing of multiple patient-derived xenograft models, EMT-related gene expression was enriched in the stroma versus parenchyma. EMT-related markers were predominantly expressed by cancer-associated fibroblasts (CAFs), cells of mesenchymal origin which produce a variety of matrix proteins and growth factors. Scores derived from a 3-gene CAF transcriptional signature (COL1A1, COL1A2, COL3A1) were sufficient to reproduce association between EMT-related markers and disease prognosis. Our results suggest that CAFs are the primary source of EMT signaling and have potential roles as biomarkers and targets for immuno-oncology therapies.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Human cancers often re-express germline factors, yet their mechanistic role in oncogenesis and cancer progression remains unknown. Here we demonstrate that DEAD-box helicase 4 (DDX4), a germline ...factor and RNA helicase conserved in all multicellular organisms, contributes to increased cell motility and cisplatin-mediated drug resistance in small cell lung cancer (SCLC) cells. Proteomic analysis suggests that DDX4 expression upregulates proteins related to DNA repair and immune/inflammatory response. Consistent with these trends in cell lines, DDX4 depletion compromised in vivo tumor development while its overexpression enhanced tumor growth even after cisplatin treatment in nude mice. Further, the relatively higher DDX4 expression in SCLC patients correlates with decreased survival and shows increased expression of immune/inflammatory response markers. Taken together, we propose that DDX4 increases SCLC cell survival, by increasing the DNA damage and immune response pathways, especially under challenging conditions such as cisplatin treatment.
Abstract
Motivation
Over the past decade, there have been impressive advances in determining the 3D structures of protein complexes. However, there are still many complexes with unknown structures, ...even when the structures of the individual proteins are known. The advent of protein sequence information provides an opportunity to leverage evolutionary information to enhance the accuracy of protein–protein interface prediction. To this end, several statistical and machine learning methods have been proposed. In particular, direct coupling analysis has recently emerged as a promising approach for identification of protein contact maps from sequential information. However, the ability of these methods to detect protein–protein inter-residue contacts remains relatively limited.
Results
In this work, we propose a method to integrate sequential and co-evolution information with structural and functional information to increase the performance of protein–protein interface prediction. Further, we present a post-processing clustering method that improves the average relative F1 score by 70% and 24% and the average relative precision by 80% and 36% in comparison with two state-of-the-art methods, PSICOV and GREMLIN.
Availability and implementation
https://github.com/BioMLBoston/PatchDCA
Supplementary information
Supplementary data are available at Bioinformatics online.
Eradicating tumor dormancy that develops following epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) treatment of EGFR-mutant non-small cell lung cancer, is an attractive ...therapeutic strategy but the mechanisms governing this process are poorly understood. Blockade of ERK1/2 reactivation following EGFR TKI treatment by combined EGFR/MEK inhibition uncovers cells that survive by entering a senescence-like dormant state characterized by high YAP/TEAD activity. YAP/TEAD engage the epithelial-to-mesenchymal transition transcription factor SLUG to directly repress pro-apoptotic BMF, limiting drug-induced apoptosis. Pharmacological co-inhibition of YAP and TEAD, or genetic deletion of YAP1, all deplete dormant cells by enhancing EGFR/MEK inhibition-induced apoptosis. Enhancing the initial efficacy of targeted therapies could ultimately lead to prolonged treatment responses in cancer patients.
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•Loss of EGFR signaling leads to senescence-like dormancy in EGFR-mutant lung cancer•YAP promotes survival and dormancy in the absence of EGFR downstream signaling•YAP/TEAD/SLUG suppress apoptosis through transcriptional repression of BMF•A TEAD inhibitor enhances EGFR inhibitor-mediated apoptosis and prevents dormancy
Kurppa et al. show that YAP activation mediates resistance to combined EGFR/MEK inhibition by inducing dormancy in non-small-cell lung cancer cells. Targeting the YAP pathway, in part by using a newly developed covalent TEAD inhibitor, promotes apoptosis of the dormant therapy-resistant cancer cells.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Small cell lung carcinoma (SCLC) is highly mutated, yet durable response to immune checkpoint blockade (ICB) is rare. SCLC also exhibits cellular plasticity, which could influence its immunobiology. ...Here we discover that a distinct subset of SCLC uniquely upregulates MHC I, enriching for durable ICB benefit.
modeling confirms epigenetic recovery of MHC I in SCLC following loss of neuroendocrine differentiation, which tracks with derepression of STING. Transient EZH2 inhibition expands these nonneuroendocrine cells, which display intrinsic innate immune signaling and basally restored antigen presentation. Consistent with these findings, murine nonneuroendocrine SCLC tumors are rejected in a syngeneic model, with clonal expansion of immunodominant effector CD8 T cells. Therapeutically, EZH2 inhibition followed by STING agonism enhances T-cell recognition and rejection of SCLC in mice. Together, these data identify MHC I as a novel biomarker of SCLC immune responsiveness and suggest novel immunotherapeutic approaches to co-opt SCLC's intrinsic immunogenicity. SIGNIFICANCE: SCLC is poorly immunogenic, displaying modest ICB responsiveness with rare durable activity. In profiling its plasticity, we uncover intrinsically immunogenic MHC I
subpopulations of nonneuroendocrine SCLC associated with durable ICB benefit. We also find that combined EZH2 inhibition and STING agonism uncovers this cell state, priming cells for immune rejection.
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4505 Background: P + A improved OS, PFS, and ORR over S in 1L advanced RCC in KEYNOTE-426 (NCT02853331).Here, we present exploratory biomarker results including RNAseq, WES, and PD-L1. Methods: ...Patients (pts) with treatment-naive advanced RCC were randomly assigned 1:1 to P + A or S. Association between T-cell–inflamed gene signature (Tcell inf GEP), angiogenesis gene signature (RNAseq), and PD-L1 CPS (22C3 IHC) with clinical outcomes were tested at prespecified α=0.05. Other RNA signatures (Cristescu et al. Clin Cancer Res. 2022. 2022;28:1680) and molecular subtypes, based on clustering identified from IMmotion151 (Motzer et al. Cancer Cell. 2020;38:803), were tested at prespecified α = 0.10 after multiplicity adjustment. DNA mutations ( VHL, PBRM1, SETD2, and BAP1) by WES were tested at prespecified α = 0.10 after multiplicity adjustment. Results: Of 861 pts, 369 (P + A) and 361 (S) had archival samples for RNAseq; 347 (P + A) and 351 (S) had WES samples. PD-L1 CPS was negatively associated with OS ( P=0.013) for S. There was a strong positive association of Tcell inf GEP with OS ( P=0.003), PFS ( P<0.0001), and ORR ( P<0.0001) for P + A. Angiogenesis was positively associated with OS ( P=0.013) for P + A; there was a strong positive association with OS ( P<0.0001), PFS ( P<0.001), and ORR ( P=0.002) for S. For other RNA signatures, positive association with mMDSC was found for PFS ( P=0.018) and ORR ( P=0.093) with P + A. For S, positive association was found with hypoxia (OS, P=0.034; ORR, P=0.071) and negative associations with MYC (OS, P<0.001; PFS, P=0.012) and proliferation (OS, P=0.002). Across all molecular clusters, ORR favored P + A over S, with the highest P + A ORR in the immune/proliferative cluster (Table). By WES, PBRM1 mutation had positive association with ORR ( P=0.004) and PFS ( P=0.079) for P + A. For S, positive associations were observed with OS for VHL ( P=0.073) and PBRM1 ( P=0.001) mutations and a negative one observed for BAP1 mutation ( P=0.046). P + A improved ORR over S regardless of mutational status. Conclusions: There was a strong relationship of Tcell inf GEP with clinical outcomes with P + A. Angiogenesis was positively associated with outcomes with S and only with OS with P + A. Further understanding the role of the immune microenvironment in combination therapy will be critical to advance treatment strategies. Clinical trial information: NCT02853331 . Table: see text
Abstract
PURPOSE: The 5' ectonucleotidase (NT5E) encodes for the CD73 membrane protein that converts the extracellular AMP into adenosine (Ado), an immunosuppressive nucleoside that generates ...anti-inflammatory responses by stimulating T cell anergy. We aimed to analyze CD73 expression across non-small cell lung cancer (NSCLC) and explore its role in immunomodulation and its predictive value to immunotherapy (ICI).
METHODS: We analyzed CD73 (NT5E) expression across lung adenocarcinoma samples from The Cancer Genome Atlas (TCGA) and determined top co-expressed genes or correlations with alterations in lung cancer (LC) driver genes. Correlations were validated in specific cancer cell lines using appropriate treatments to activate or inhibit selected pathways. A CRISPR-Cas9 CD73-knockout cell line model was generated to explore direct regulation of extracellular Ado production, as well as impact on secreted cytokines. Finally, we performed staining of CD73 and other immune-related molecules (CD8+ TILs, PD-L1, STING) in a pilot cohort of NSCLC patients (n=35) treated with first line ICI +/- chemotherapy at the DFCI.
RESULTS: TCGA analysis revealed strong correlation between MET and CD73 expression and identified MET altered tumors, either by MET exon 14 skipping mutations (METex14) or MET amplification, as being enriched for high CD73 expression (p=0.03). Functional assays using LC cell lines showed that MET activation increases CD73 expression at a transcriptional and protein level by using qPCR, western-blot and flow-cytometry. Additional adenosinergic-related molecules, including the adenosine receptor A2BR (ADORA2B), were co-regulated in parallel with CD73, defining a specific phenotype. In our pilot cohort of patients, CD73 high expression (2+) was found in 20% of lung tumors, mostly adenocarcinomas, whereas 50% were negative (0+) for CD73 expression. CD73 was positively associated with high CD8+ (p= 0.02). Clinical outcomes are being evaluated to elucidate the potential role of CD73 as a predictive marker to ICI.
CONCLUSIONS: MET altered tumors and LC cell lines express high levels of CD73 and other adenosinergic-related molecules, representing a potential mechanism of immune evasion and target for immunotherapy. The potential predictive role of CD73 expression in a larger cohort of patients treated with immune checkpoint inhibition (ICI) will be performed.
Citation Format: Maria Saigi, Ryohei Yoshida, Erik H Knelson, Navin R Mahadevan, Amir Vajdi, Israel Cañadas, Tran C Thai, Mark M. Awad, Montse Sánchez-Céspedes, David A Barbie. Determinants of immune evasion in MET driven lung cancer abstract. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1012.
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