Abstract 3911: Proteomic and transcriptomic subtypes of KRASG12C mutant lung cancer

Sotorasib (AMG510) is the first KRASG12C covalent inhibitor (KRASG12Ci) approved by the FDA in lung cancers harboring oncogenic KRASG12C mutation. However, it remains unclear why some patients show upfront resistance to the KRASG12Ci, and the mechanisms of adaptive resistance. To enhance the efficacy of the KRASG12Ci, several combination regimens are in clinical trials which includes Sotorasib combination with MEK, PD1, SHP2, pan-HER, PD-L1, and EGFR inhibitors. However, it remains unclear how to precisely identify an appropriate cohort for analysis and predict tumor-centric combination strategies that would be effective in the clinic. We hypothesized that subsets of KRASG12C lung cancer could be identified using transcriptomics and proteomics. To test our hypothesis, we performed hierarchical clustering of the microarray dataset on 87 NSCLC KRASG12C tumors and identified three novel transcriptomic subtypes - Subtype 1 had higher expression of extracellular matrix (ECM) genes, which are related to cellular adhesion, and lower expression of EMT genes. Subtype 2 had low ECM expression, high expression in EMT and cell cycle pathway genes suggesting that this is a more invasive subtype. Subtype 2 had lowest expression of small molecule metabolism, suggesting it may be more responsive to KRASG12Ci. Subtype 3 had the lowest expression in interferon gamma/cytotoxic T-cell, T-cell, and B-cell pathways. Subtype 3 had the highest expression of small molecule metabolism, suggesting that it could be more resistant to KRASG12Ci. Having observed these unique clusters, we next hypothesized that mass spectrometry-based expression and phosphoproteomic analysis (pY and pS/T/Y) will further refine these clusters and help identifying new subsets. Our previous work by Stewart et al., demonstrated the importance of proteomics integrated with genomic and transcriptomic analyses to define molecular subtypes in a cohort of 108 squamous cell lung cancer patients. We believe that a similar integrated proteogenomic study is important in context of KRASG12C tumors to understand the signaling diversity and phenotypically categorized them to optimize patient enrichment schemes for effective combination therapy. For that purpose, we performed an integrative proteogenomic analysis of 75 KRASG12C tumors (55 lung, 12 large bowel adenocarcinomas and 8 PDXs) with full clinical follow up and pathology data. We are presently classifying the 75 KRASG12C tumors into phosphoproteomic subtypes. We also carried out targeted exome sequencing for cancer-specific genes. Next, we plan to leverage existing gene expression microarray data and add exome sequencing proteomics, and phosphoproteomics for a comprehensive, protein-centric characterization on these tumors. Importantly, the inclusion of 8 PDXs being co-processed and co-analyzed along with the tumors will enable rapid follow-up experiments to validate the findings into preclinical therapy trials.

Citation Format: Hitendra Singh Solanki, Paul A. Stewart, Eric A. Welsh, Victoria Izumi, Bin Fang, Sean J. Yoder, John M. Koomen, Eric B. Haura. Proteomic and transcriptomic subtypes of KRASG12C 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 3911.

Abstract 3417: Effects of plasma exosome isolation methods on detectable multiomic profiles in cancer patients and healthy controls

Introduction: Circulating exosomes in blood have been considered as a treasure chest for biomarker discovery in cancer. Due to their heterogeneity, different isolation methods may enrich distinct exosome cargos generating different omic profiles. In this study, we evaluated the effects of plasma exosome isolation methods on detectable multiomic profiles in cancer patients and healthy controls.

Methods: Plasma exosomes were isolated from prostate cancer patients (PC; N = 11), lung cancer patients (LC; N = 13), and matched healthy controls (HC; N = 10) using three methods [SBI (size exclusion), Takara (lectin binding), and Wako (Tim4 binding)]. Mass spectrometry was performed to determine exosome lipidome and metabolome profiles. To evaluate group-specific exosome enrichment, we developed an exosome enrichment index (EEI) by summing 50 smallest p-values after log2 transformation. Higher EEI indicates prefrential capture of significant exosome cargos from patients over controls.

Results: Our data showed that the SBI method generated the most identified lipids from exosome across all groups (LC = 935, PC = 939, and HC = 943), followed by Takara (245, 245 and 245) and Wako (205, 208 and 213). Compared to controls, LC patients had 31 higher and 5 lower lipid levels (FDR < 0.1) using the SBI and 3 higher and 1 lower level (FDR < 0.1) using Takara. We did not observe any differences between cancer and normal samples using Wako. The most detectable known metabolites were found in exosomes from SBI (LC = 188, PC = 191, and HC = 100), followed by Wako (LC = 107, PC = 107, and HC = 107) and Takara (LC = 99, PC = 100, and HC = 100). Of the metabolites from SBI, 5 were significantly higher (FDR<0.1) in PC patients than in controls. The most significant metabolite in PC was L-Cystathionine, which has been shown to be upregulated in bone-metastatic PC3 cells. Neither Takara nor Wako exosome fractions showed differently expressed metabolites between any groups. Our EEI analysis showed the highest lipid EEI from SBI in PC (474.4) and LC (906.74), while a lower lipid EEI from Takara in PC (359.9), LC (495.58), and Wako in PC (307.5) and LC (148.1). Metabolite EEI showed an EEI range from 590.3 in SBI PC to 185.6 in Takara LC. SBI, again, achieved the highest EEI for both PC and LC (357.3).

Conclusion: These results support that the SBI method can capture more heterogeneous exosome populations, possibly because this size exclusion-based method does not discriminate exosomes with different protein components. In contrast, Takara and Wako methods target exosome surface proteins, enriching specific exosome subpopulations resulting in less diversity of detectable lipids and metabolites. Overall, these findings suggest that exosome isolation methods can select subpopulations and determine the exosome content, which will significantly impact exosome-based biomarker discovery.

Citation Format: Alex C. Soupir, Paul A. Stewart, Yury Nunez Lopez, Brandon J. Manley, Bruna Pellini, Jingsong Zhang, Qianxing Mo, Douglas C. Marchion, Min Lui, John M. Koomen, Erin M. Siegel, Liang Wang. Effects of plasma exosome isolation methods on detectable multiomic profiles in cancer patients and healthy controls [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 3417.

Single-cell Characterization of the Cellular Landscape of Acral Melanoma Identifies Novel Targets for Immunotherapy

PURPOSE

Acral melanoma is a rare subtype of melanoma that arises on the non-hair-bearing skin of the palms, soles, and nail beds. In this study, we used single-cell RNA sequencing (scRNA-seq) to map the transcriptional landscape of acral melanoma and identify novel immunotherapeutic targets.

EXPERIMENTAL DESIGN

We performed scRNA-seq on nine clinical specimens (five primary, four metastases) of acral melanoma. Detailed cell type curation was performed, the immune landscapes were mapped, and key results were validated by analysis of The Cancer Genome Atlas (TCGA) and single-cell datasets. Cell-cell interactions were inferred and compared with those in nonacral cutaneous melanoma.

RESULTS

Multiple phenotypic subsets of T cells, natural killer (NK) cells, B cells, macrophages, and dendritic cells with varying levels of activation/exhaustion were identified. A comparison between primary and metastatic acral melanoma identified gene signatures associated with changes in immune responses and metabolism. Acral melanoma was characterized by a lower overall immune infiltrate, fewer effector CD8 T cells and NK cells, and a near-complete absence of γδ T cells compared with nonacral cutaneous melanomas. Immune cells associated with acral melanoma exhibited expression of multiple checkpoints including PD-1, LAG-3, CTLA-4, V-domain immunoglobin suppressor of T cell activation (VISTA), TIGIT, and the Adenosine A2A receptor (ADORA2). VISTA was expressed in 58.3% of myeloid cells and TIGIT was expressed in 22.3% of T/NK cells.

CONCLUSIONS

Acral melanoma has a suppressed immune environment compared with that of cutaneous melanoma from nonacral skin. Expression of multiple, therapeutically tractable immune checkpoints were observed, offering new options for clinical translation.

Deubiquitinase Vulnerabilities Identified through Activity-Based Protein Profiling in Non-Small Cell Lung Cancer

To aid in the prioritization of deubiquitinases (DUBs) as anticancer targets, we developed an approach combining activity-based protein profiling (ABPP) with mass spectrometry in both non-small cell lung cancer (NSCLC) tumor tissues and cell lines along with analysis of available RNA interference and CRISPR screens. We identified 67 DUBs in NSCLC tissues, 17 of which were overexpressed in adenocarcinoma or squamous cell histologies and 12 of which scored as affecting lung cancer cell viability in RNAi or CRISPR screens. We used the CSN5 inhibitor, which targets COPS5/CSN5, as a tool to understand the biological significance of one of these 12 DUBs, COPS6, in lung cancer. Our study provides a powerful resource to interrogate the role of DUB signaling biology and nominates druggable targets for the treatment of lung cancer subtypes.

Macrophages use apoptotic cell-derived methionine and DNMT3A during efferocytosis to promote tissue resolution

Efferocytosis, the clearance of apoptotic cells (ACs) by macrophages, is critical for tissue resolution, with defects driving many diseases. Mechanisms of efferocytosis-mediated resolution are incompletely understood. Here, we show that AC-derived methionine regulates resolution through epigenetic repression of the extracellular signal-regulated kinase 1/2 (ERK1/2) phosphatase Dusp4. We focus on two key efferocytosis-induced pro-resolving mediators, prostaglandin E2 (PGE2) and transforming growth factor beta 1 (TGF-β1), and show that efferocytosis induces prostaglandin-endoperoxide synthase 2/cyclooxygenase 2 (Ptgs2/COX2), leading to PGE2 synthesis and PGE2-mediated induction of TGF-β1. ERK1/2 phosphorylation/activation by AC-activated CD36 is necessary for Ptgs2 induction, but this is insufficient owing to an ERK-DUSP4 negative feedback pathway that lowers phospho-ERK. However, subsequent AC engulfment and phagolysosomal degradation lead to Dusp4 repression, enabling enhanced p-ERK and induction of the Ptgs2-PGE2-TGF-β1 pathway. Mechanistically, AC-derived methionine is converted to S-adenosylmethionine, which is used by DNA methyltransferase-3A (DNMT3A) to methylate Dusp4. Bone-marrow DNMT3A deletion in mice blocks COX2/PGE2, TGF-β1, and resolution in sterile peritonitis, apoptosis-induced thymus injury and atherosclerosis. Knowledge of how macrophages use AC-cargo and epigenetics to induce resolution provides mechanistic insight and therapeutic options for diseases driven by impaired resolution.

Integrated Proteomics-Based Physical and Functional Mapping of AXL Kinase Signaling Pathways and Inhibitors Define Its Role in Cell Migration

To better understand the signaling complexity of AXL, a member of the tumor-associated macrophage (TAM) receptor tyrosine kinase family, we created a physical and functional map of AXL signaling interactions, phosphorylation events, and target-engagement of three AXL tyrosine kinase inhibitors (TKI). We assessed AXL protein complexes using proximity-dependent biotinylation (BioID), effects of AXL TKI on global phosphoproteins using mass spectrometry, and target engagement of AXL TKI using activity-based protein profiling. BioID identifies AXL-interacting proteins that are mostly involved in cell adhesion/migration. Global phosphoproteomics show that AXL inhibition decreases phosphorylation of peptides involved in phosphatidylinositol-mediated signaling and cell adhesion/migration. Comparison of three AXL inhibitors reveals that TKI RXDX-106 inhibits pAXL, pAKT, and migration/invasion of these cells without reducing their viability, while bemcentinib exerts AXL-independent phenotypic effects on viability. Proteomic characterization of these TKIs demonstrates that they inhibit diverse targets in addition to AXL, with bemcentinib having the most off-targets. AXL and EGFR TKI cotreatment did not reverse resistance in cell line models of erlotinib resistance. However, a unique vulnerability was identified in one resistant clone, wherein combination of bemcentinib and erlotinib inhibited cell viability and signaling. We also show that AXL is overexpressed in approximately 30% to 40% of nonsmall but rarely in small cell lung cancer. Cell lines have a wide range of AXL expression, with basal activation detected rarely.

IMPLICATIONS

Our study defines mechanisms of action of AXL in lung cancers which can be used to establish assays to measure drug targetable active AXL complexes in patient tissues and inform the strategy for targeting it's signaling as an anticancer therapy.

Proteogenomic and clinical implications of unique recurrent splice variants in clear cell renal cell carcinoma

380

Background: Alternative mRNA splicing is recognized as a key driver of proteomic diversity. In cancer, this splicing process can be altered resulting in generation of aberrant splice variants (SvPs) that can contribute to tumor pathogenesis. However, our understanding of the significance of splice variants in clear cell renal cell carcinoma (ccRCC) is currently limited. Given the lack of actionable genomic mutations in ccRCC, aberrant SpVs may be the avenue to new pathogenic mechanisms and biomarkers. Methods: We implemented a novel pipeline to screen for and select SpVs frequent in and relatively specific to ccRCC. We started with RNA-seq data from the Cancer Cell Line Encyclopedia to identify SpVs specific to ccRCC cell lines. These were then screened across normal tissue in the Genotype-Tissue Expression Project (GTEx) and excluded if expressed. We analyzed bulk RNA-seq data of ccRCC primary tumors obtained from our institutional Total Cancer Care cohort (TCC; n = 111), The Cancer Genome Atlas (TCGA; n = 484) and the Clinical Proteomic Tumor Analysis Consortium (CPTAC; n = 110) to analyze SpV expression in these samples. Using raw proteomics files from the CPTAC portal, proteins were identified and quantified using MaxQuant. Associations of SvP with protein expression were filtered by a Spearman correlation cutoff of +/-0.3. The Enrichr R library was used for pathway enrichment. Finally, we correlated splice variant expression with overall (OS) and cancer-specific survival (CSS). Using LASSO Cox regression analysis, we derived a SpV-based risk score trained on OS from the TCGA cohort and validated on the TCC and CPTAC cohorts. Results: Our pipeline selected 16 previously uncharacterized SpVs, including variants of suspected oncogenes and tumor suppressors. Proteogenomic analysis identified interesting biological associations. Among patients with high levels of EGFR SpV, we found significantly higher expression of the protein regulatory T cell marker CD70 (padj = 0.03). MVK SvP was highly correlated with 25 proteins enriched for the mTOR pathway (padj = 0.002). We derived a survival risk score based on expression of 5 SpVs ( PDZD2, COBLL1, PTPN14, RNASET2, FGD1) in the TCGA cohort. This risk score remained significant on multivariate analysis (HR 1.4, p = 0.002) adjusting for covariates including AJCC stage. This was validated on multivariate analysis in the TCC (HR 3.56, p < 0.001) and CPTAC (HR 3.18, p = 0.019) cohorts. Conclusions: Our novel pipeline selected 16 unique SpVs frequent in and relatively specific for ccRCC. Some are associated with proteins expressed in oncogenic pathways, suggesting a potential role in disease pathogenesis. Additionally, our SpV-based risk score is strongly associated with OS and CSS across multiple cohorts. This study provides a template for identifying and characterizing disease-specific aberrant SpVs to aid discovery of new mechanisms and biomarkers.

The non-canonical target PARP16 contributes to polypharmacology of the PARP inhibitor talazoparib and its synergy with WEE1 inhibitors

PARP inhibitors (PARPis) display single-agent anticancer activity in small cell lung cancer (SCLC) and other neuroendocrine tumors independent of BRCA1/2 mutations. Here, we determine the differential efficacy of multiple clinical PARPis in SCLC cells. Compared with the other PARPis rucaparib, olaparib, and niraparib, talazoparib displays the highest potency across SCLC, including SLFN11-negative cells. Chemical proteomics identifies PARP16 as a unique talazoparib target in addition to PARP1. Silencing PARP16 significantly reduces cell survival, particularly in combination with PARP1 inhibition. Drug combination screening reveals talazoparib synergy with the WEE1/PLK1 inhibitor adavosertib. Global phosphoproteomics identifies disparate effects on cell-cycle and DNA damage signaling thereby illustrating underlying mechanisms of synergy, which is more pronounced for talazoparib than olaparib. Notably, silencing PARP16 further reduces cell survival in combination with olaparib and adavosertib. Together, these data suggest that PARP16 contributes to talazoparib's overall mechanism of action and constitutes an actionable target in SCLC.

Disrupting the MYC-TFEB Circuit Impairs Amino Acid Homeostasis and Provokes Metabolic Anergy

MYC family oncoproteins are regulators of metabolic reprogramming that sustains cancer cell anabolism. Normal cells adapt to nutrient-limiting conditions by activating autophagy, which is required for amino acid (AA) homeostasis. Here we report that the autophagy pathway is suppressed by Myc in normal B cells, in premalignant and neoplastic B cells of Eμ-Myc transgenic mice, and in human MYC-driven Burkitt lymphoma. Myc suppresses autophagy by antagonizing the expression and function of transcription factor EB (TFEB), a master regulator of autophagy. Mechanisms that sustained AA pools in MYC-expressing B cells include coordinated induction of the proteasome and increases in AA transport. Reactivation of the autophagy-lysosomal pathway by TFEB disabled the malignant state by disrupting mitochondrial functions, proteasome activity, amino acid transport, and amino acid and nucleotide metabolism, leading to metabolic anergy, growth arrest and apoptosis. This phenotype provides therapeutic opportunities to disable MYC-driven malignancies, including AA restriction and treatment with proteasome inhibitors.

Tumor-infiltrating lymphocyte treatment for anti-PD-1-resistant metastatic lung cancer: a phase 1 trial

Adoptive cell therapy using tumor-infiltrating lymphocytes (TILs) has shown activity in melanoma, but has not been previously evaluated in metastatic non-small cell lung cancer. We conducted a single-arm open-label phase 1 trial ( NCT03215810 ) of TILs administered with nivolumab in 20 patients with advanced non-small cell lung cancer following initial progression on nivolumab monotherapy. The primary end point was safety and secondary end points included objective response rate, duration of response and T cell persistence. Autologous TILs were expanded ex vivo from minced tumors cultured with interleukin-2. Patients received cyclophosphamide and fludarabine lymphodepletion, TIL infusion and interleukin-2, followed by maintenance nivolumab. The end point of safety was met according to the prespecified criteria of ≤17% rate of severe toxicity (95% confidence interval, 3-29%). Of 13 evaluable patients, 3 had confirmed responses and 11 had reduction in tumor burden, with a median best change of 35%. Two patients achieved complete responses that were ongoing 1.5 years later. In exploratory analyses, we found T cells recognizing multiple types of cancer mutations were detected after TIL treatment and were enriched in responding patients. Neoantigen-reactive T cell clonotypes increased and persisted in peripheral blood after treatment. Cell therapy with autologous TILs is generally safe and clinically active and may constitute a new treatment strategy in metastatic lung cancer.

Targeted mass spectrometry-based assays enable multiplex quantification of receptor tyrosine kinase, MAP Kinase, and AKT signaling

SUMMARY

A primary goal of the US National Cancer Institute's Ras initiative at the Frederick National Laboratory for Cancer Research is to develop methods to quantify RAS signaling to facilitate development of novel cancer therapeutics. We use targeted proteomics technologies to develop a community resource consisting of 256 validated multiple reaction monitoring (MRM)-based, multiplexed assays for quantifying protein expression and phosphorylation through the receptor tyrosine kinase, MAPK, and AKT signaling networks. As proof of concept, we quantify the response of melanoma (A375 and SK-MEL-2) and colorectal cancer (HCT-116 and HT-29) cell lines to BRAF inhibition by PLX-4720. These assays replace over 60 Western blots with quantitative mass spectrometry-based assays of high molecular specificity and quantitative precision, showing the value of these methods for pharmacodynamic measurements and mechanism of action studies. Methods, fit-for-purpose validation, and results are publicly available as a resource for the community at assays.cancer.gov.

MOTIVATION

A lack of quantitative, multiplexable assays for phosphosignaling limits comprehensive investigation of aberrant signaling in cancer and evaluation of novel treatments. To alleviate this limitation, we sought to develop assays using targeted mass spectrometry for quantifying protein expression and phosphorylation through the receptor tyrosine kinase, MAPK, and AKT signaling networks. The resulting assays provide a resource for replacing over 60 Western blots in examining cancer signaling and tumor biology with high molecular specificity and quantitative rigor.

Macrophage-derived cholesterol contributes to therapeutic resistance in prostate cancer

Castration-resistant prostate cancer (CRPC) is a lethal stage of disease in which androgen receptor (AR) signaling is persistent despite androgen deprivation therapy (ADT). Most studies have focused on investigating cell-autonomous alterations in CRPC, while the contributions of the tumor microenvironment are less well understood. Here we sought to determine the role of tumor-associated macrophages in CRPC, based upon their role in cancer progression and therapeutic resistance. In a syngeneic model that reflected the mutational landscape of CRPC, macrophage depletion resulted in a reduced transcriptional signature for steroid and bile acid synthesis, indicating potential perturbation of cholesterol metabolism. As cholesterol is the precursor of the five major types of steroid hormones, we hypothesized that macrophages were regulating androgen biosynthesis within the prostate tumor microenvironment. Macrophage depletion reduced androgen levels within prostate tumors and restricted androgen receptor (AR) nuclear localization in vitro and in vivo. Macrophages were also cholesterol-rich and were able to transfer cholesterol to tumor cells in vitro. AR nuclear translocation was inhibited by activation of Liver X Receptor (LXR)-β, the master regulator of cholesterol homeostasis. Consistent with these data, macrophage depletion extended survival during ADT and the presence of macrophages correlated with therapeutic resistance in patient-derived explants. Taken together, these findings support the therapeutic targeting of macrophages in CRPC.

Abstract 1635: Sirt2 blockade promotes T cell metabolism and restores the anti-tumor immunity

Background: The majority of cancer patients remain refractory to existing cancer immunotherapies. Despite the growing evidence that dysregulated metabolism contributes to the exhaustion of tumor-infiltrating T lymphocytes (TILs) and the loss of their effector functions within the metabolically restricted tumor microenvironment (TME), actionable targets to rescue metabolic fitness and anti-tumor activity of TILs remain elusive. Sirt2 is an NAD+ dependent histone deacetylase and conflicting evidences suggest its tumor-suppressor and oncogenic roles. In inflammatory response, Sirt2 suppresses inflammation via negative regulation of NF-κB subunit; however, the role of Sirt2 in tumor immunity has not been described.

Method: Human TILs from non-small cell lung cancer (NSCLC) tumor samples and matched peripheral blood T cells were analyzed for Sirt2 expression by flow cytometry. The role of Sirt2 in anti-tumor immunity was studied by in vivo B16F10 tumor challenge in Wild-type (Wt) and Sirt2 knockout (Sirt2KO) mice. The role of Sirt2 in T cell effector functions was investigated ex vivo by CFSE proliferation assay, IFN-γ ELISpot assay, intracellular staining of effector markers and LDH cytotoxicity assay on Wt versus Sirt2KO T cells. Sirt2 targets were identified using mass spectrometry (MS) and Co-immunoprecipitation analyses. T cells metabolic changes were investigated using seahorse bioanalyzer and LC-MS/MS Metabolomic profiling. Sirt2 blockade in human T cells was performed using AGK2, a Sirt2 selective inhibitor.

Result: We show that Sirt2 expression is upregulated within the TME, and its upregulation in human TILs is associated with a poor clinical response to immunotherapy in a phase I clinical trial in advanced NSCLC. We also show that, Sirt2 deficiency in mice boosts T cell effector functions and tumor rejection in vivo. Our molecular and metabolomic studies revealed multiple metabolic pathways as Sirt2 targets including glycolysis, TCA-cycle, FAO and glutaminolysis. We found that Sirt2 deacetylase deficiency increased acetylation and enzymatic activity of key metabolic enzymes leading to a hyper metabolic status of T cells. Finally pharmacologic inhibition of Sirt2 in human TILs isolated from NSCLC patients enhances their metabolic fitness and effector functions.

Conclusion Our findings indicate Sirt2 as a master suppressor of T cell metabolism amenable to therapeutic targeting and Sirt2 inhibition reprograms T cell metabolic fitness to optimally sustain their effector function within the metabolically challenging TME, thus, leading to an effective anti-tumor immune response.

Citation Format: Imene Hamaidi, Lin Zhang, Nayoung Kim, Min Hsuan Wang, Cristina Iclozan, Bin Fang, Min Liu, John M. Koomen, Anders E. Berglund, Sean J. Yoder, Jiqiang Yao, Robert W. Engelman, Ben C. Creelan, Jose R. Conejo-Garcia, James J. Mulé, Scott J. Antonia, Sungjune Kim. Sirt2 blockade promotes T cell metabolism and restores the anti-tumor immunity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1635.

Metabolic Changes Are Associated with Melphalan Resistance in Multiple Myeloma

Multiple myeloma is an incurable hematological malignancy that impacts tens of thousands of people every year in the United States. Treatment for eligible patients involves induction, consolidation with stem cell rescue, and maintenance. High-dose therapy with a DNA alkylating agent, melphalan, remains the primary drug for consolidation therapy in conjunction with autologous stem-cell transplantation; as such, melphalan resistance remains a relevant clinical challenge. Here, we describe a proteometabolomic approach to examine mechanisms of acquired melphalan resistance in two cell line models. Drug metabolism, steady-state metabolomics, activity-based protein profiling (ABPP, data available at PRIDE: PXD019725), acute-treatment metabolomics, and western blot analyses have allowed us to further elucidate metabolic processes associated with melphalan resistance. Proteometabolomic data indicate that drug-resistant cells have higher levels of pentose phosphate pathway metabolites. Purine, pyrimidine, and glutathione metabolisms were commonly altered, and cell-line-specific changes in metabolite levels were observed, which could be linked to the differences in steady-state metabolism of naïve cells. Inhibition of selected enzymes in purine synthesis and pentose phosphate pathways was evaluated to determine their potential to improve melphalan's efficacy. The clinical relevance of these proteometabolomic leads was confirmed by comparison of tumor cell transcriptomes from newly diagnosed MM patients and patients with relapsed disease after treatment with high-dose melphalan and autologous stem-cell transplantation. The observation of common and cell-line-specific changes in metabolite levels suggests that omic approaches will be needed to fully examine melphalan resistance in patient specimens and define personalized strategies to optimize the use of high-dose melphalan.

A Mutational Survey of Acral Nevi

Importance

Acral skin may develop nevi, but their mutational status and association with acral melanoma is unclear.

Objective

To perform targeted next-generation sequencing on a cohort of acral nevi to determine their mutational spectrum.

Design, Setting, and Participants

Acral nevi specimens (n = 50) that had been obtained for diagnostic purposes were identified from the pathology archives of a tertiary care academic cancer center and a university dermatology clinic. Next-generation sequencing was performed on DNA extracted from the specimens, and mutations called. A subset of samples was stained immunohistochemically for the BRAF V600E mutation.

Results

A total of 50 nevi from 49 patients (19 males and 30 females; median [range] age, 48 [13-85] years) were examined. Analysis of the sequencing data revealed a high prevalence of BRAF mutations (n = 43), with a lower frequency of NRAS mutations (n = 5). Mutations in BRAF and NRAS were mutually exclusive.

Conclusions and Relevance

In this cohort study, nevi arising on mostly sun-protected acral skin showed a rate of BRAF mutation similar to that of acquired nevi on sun-exposed skin but far higher than that of acral melanoma. These findings are in contrast to the well-characterized mutational landscape of acral melanoma.

Cell Type-specific Adaptive Signaling Responses to KRASG12C Inhibition

PURPOSE

Covalent inhibitors of KRAS^G12C specifically target tumors driven by this form of mutant KRAS, yet early studies show that bypass signaling drives adaptive resistance. Although several combination strategies have been shown to improve efficacy of KRAS^G12C inhibitors (KRASi), underlying mechanisms and predictive strategies for patient enrichment are less clear.

EXPERIMENTAL DESIGN

We performed mass spectrometry-based phosphoproteomics analysis in KRAS^G12C cell lines after short-term treatment with ARS-1620. To understand signaling diversity and cell type-specific markers, we compared proteome and phosphoproteomes of KRAS^G12C cells. Gene expression patterns of KRAS^G12C cell lines and lung tumor tissues were examined.

RESULTS

Our analysis suggests cell type-specific perturbation to ERBB2/3 signaling compensates for repressed ERK and AKT signaling following ARS-1620 treatment in epithelial cell type, and this subtype was also more responsive to coinhibition of SHP2 and SOS1. Conversely, both high basal and feedback activation of FGFR or AXL signaling were identified in mesenchymal cells. Inhibition of FGFR signaling suppressed feedback activation of ERK and mTOR, while AXL inhibition suppressed PI3K pathway. In both cell lines and human lung cancer tissues with KRAS^G12C, we observed high basal ERBB2/3 associated with epithelial gene signatures, while higher basal FGFR1 and AXL were observed in cells/tumors with mesenchymal gene signatures.

CONCLUSIONS

Our phosphoproteomic study identified cell type-adaptive responses to KRASi. Markers and targets associated with ERBB2/3 signaling in epithelial subtype and with FGFR1/AXL signaling in mesenchymal subtype should be considered in patient enrichment schemes with KRASi.

Reconnaissance of tumor immune microenvironment spatial heterogeneity in metastatic renal cell carcinoma and correlation with immunotherapy response

A clearer understanding of the tumor immune microenvironment (TIME) in metastatic clear cell renal cell carcinoma (ccRCC) may help to inform precision treatment strategies. We sought to identify clinically meaningful TIME signatures in ccRCC. We studied tumors from 39 patients with metastatic ccRCC using quantitative multiplexed immunofluorescence and relevant immune marker panels. Cell densities were analyzed in three regions of interest (ROIs): tumor core, tumor-stroma interface and stroma. Patients were stratified into low- and high-marker density groups using median values as thresholds. Log-rank and Cox regression analyses while controlling for clinical variables were used to compare survival outcomes to patterns of immune cell distributions. There were significant associations with increased macrophage (CD68⁺ CD163⁺ CD206⁺ ) density and poor outcomes across multiple ROIs in primary and metastatic tumors. In primary tumors, T-bet⁺ T helper type 1 (Th1) cell density was highest at the tumor-stromal interface (P = 0·0021), and increased co-expression of CD3 and T-bet was associated with improved overall survival (P = 0·015) and survival after immunotherapy (P = 0·014). In metastatic tumor samples, decreased forkhead box protein 3 (FoxP3)⁺ T regulatory cell density correlated with improved survival after immunotherapy (P = 0·016). Increased macrophage markers and decreased Th1 T cell markers within the TIME correlated with poor overall survival and treatment outcomes. Immune markers such as FoxP3 showed consistent levels across the TIME, whereas others, such as T-bet, demonstrated significant variance across the distinct ROIs. These findings suggest that TIME profiling outside the tumor core may identify clinically relevant associations for patients with metastatic ccRCC.

Lowering Sample Requirements to Study Tyrosine Kinase Signaling Using Phosphoproteomics with the TMT Calibrator Approach

Analysis of tyrosine kinase signaling is critical for the development of targeted cancer therapy. Currently, immunoprecipitation of phosphotyrosine (pY) peptides prior to liquid chromatography-tandem mass spectrometry (LC-MS/MS) is used to profile tyrosine kinase substrates. A typical protocol requests 10 mg of total protein from ≈108 cells or 50-100 mg of tissue. Large sample requirements can be cost prohibitive or not feasible for certain experiments. Sample multiplexing using chemical labeling reduces the protein amount required for each sample, and newer approaches use a material-rich reference channel as a calibrator to trigger detection and quantification for smaller samples. Here, it is demonstrated that the tandem mass tag (TMT) calibrator approach reduces the sample input for pY profiling tenfold (to ≈1 mg total protein per sample from 107 cells grown in one plate), while maintaining the depth of pY proteome sampling and the biological content of the experiment. Data are available through PRIDE (PXD019764 for label-free and PXD018952 for TMT). This strategy opens more opportunities for pY profiling of large sample cohorts and samples with limited protein quantity such as immune cells, xenograft models, and human tumors.

Multi-Omics and Informatics Analysis of FFPE Tissues Derived from Melanoma Patients with Long/Short Responses to Anti-PD1 Therapy Reveals Pathways of Response

Simple Summary

Immune based therapies have benefited many melanoma patients, but many patients still do not respond. This study analyzes biospecimens obtained from patients undergoing a type of immune based therapy called anti-PD-1 to understand mechanisms of response and resistance to this treatment. The operational definition of good response utilized in this investigation permitted us to examine the biochemical pathways that are facilitating anti-PD-1 responses independent of prior therapies received by patients. Currently, there are no clinically available tests to reliably test for the outcome of patients treated with anti-PD-1 therapy. The purpose of this study was to facilitate the development of prospective biomarker-directed trials to guide therapy, as even though the side effect profile is favorable for anti-PD-1 therapy, some patients do not respond to therapy with significant toxicity. Each patient may require testing for the pathways upregulated in the tumor to predict optimal benefit to anti-PD-1 treatment.

Abstract

Anti-PD-1 based immune therapies are thought to be dependent on antigen processing and presentation mechanisms. To characterize the immune-dependent mechanisms that predispose stage III/IV melanoma patients to respond to anti-PD-1 therapies, we performed a multi-omics study consisting of expression proteomics and targeted immune-oncology-based mRNA sequencing. Formalin-fixed paraffin-embedded tissue samples were obtained from stage III/IV patients with melanoma prior to anti-PD-1 therapy. The patients were first stratified into poor and good responders based on whether their tumors had or had not progressed while on anti-PD-1 therapy for 1 year. We identified 263 protein/gene candidates that displayed differential expression, of which 223 were identified via proteomics and 40 via targeted-mRNA analyses. The downstream analyses of expression profiles using MetaCore software demonstrated an enrichment of immune system pathways involved in antigen processing/presentation and cytokine production/signaling. Pathway analyses showed interferon (IFN)-γ-mediated signaling via NF-κB and JAK/STAT pathways to affect immune processes in a cell-specific manner and to interact with the inducible nitric oxide synthase. We review these findings within the context of available literature on the efficacy of anti-PD-1 therapy. The comparison of good and poor responders, using efficacy of PD-1-based therapy at 1 year, elucidated the role of antigen presentation in mediating response or resistance to anti-PD-1 blockade.

Metabolomics of primary cutaneous melanoma and matched adjacent extratumoral microenvironment

BACKGROUND

Melanoma causes the vast majority of deaths attributable to skin cancer, largely due to its propensity for metastasis. To date, few studies have examined molecular changes between primary cutaneous melanoma and adjacent putatively normal skin. To broaden temporal inferences related to initiation of disease, we performed a metabolomics investigation of primary melanoma and matched extratumoral microenvironment (EM) tissues; and, to make inferences about progressive disease, we also compared unmatched metastatic melanoma tissues to EM tissues.

METHODS

Ultra-high performance liquid chromatography-mass spectrometry-based metabolic profiling was performed on frozen human tissues.

RESULTS

We observed 824 metabolites as differentially abundant among 33 matched tissue samples, and 1,118 metabolites as differentially abundant between metastatic melanoma (n = 46) and EM (n = 34) after false discovery rate (FDR) adjustment (p<0.01). No significant differences in metabolite abundances were noted comparing primary and metastatic melanoma tissues.

CONCLUSIONS

Overall, pathway-based results significantly distinguished melanoma tissues from EM in the metabolism of: ascorbate and aldarate, propanoate, tryptophan, histidine, and pyrimidine. Within pathways, the majority of individual metabolite abundances observed in comparisons of primary melanoma vs. EM and metastatic melanoma vs. EM were directionally consistent. This observed concordance suggests most identified compounds are implicated in the initiation or maintenance of melanoma.

Abstract PR13: PTPN11 plays oncogenic roles and is a therapeutic target for BRAF wild-type melanomas

Melanoma is one of the most highly mutated cancer types, harboring numerous alterations with unknown significance. To identify functional drivers of melanoma, we searched for cross-species conserved mutations utilizing a mouse melanoma model driven by loss of PTEN and CDKN2A, and identified mutations in Kras, Erbb3, and Ptpn11. PTPN11 encodes the SHP2 protein tyrosine phosphatase (PTP) that activates the RAS/RAF/MAPK pathway. Although PTPN11 is an oncogene in leukemia, lung, and breast cancers, its roles in melanoma are not clear. In this study, we found that PTPN11 is frequently activated in human melanoma specimens and cell lines and is required for full RAS/RAF/MAPK signaling activation in BRAF wild-type (either NRAS mutant or wild-type) melanoma cells. PTPN11 played oncogenic roles in melanoma by driving anchorage-independent colony formation and tumor growth. In Pten and Cdkn2a null mice, tet-inducible and melanocyte-specific PTPN11E76K expression significantly enhanced melanoma tumorigenesis. Melanoma cells derived from this mouse model showed doxycycline-dependent tumor growth in nude mice. Silencing PTPN11E76K expression by doxycycline withdrawal caused regression of established tumors by induction of apoptosis and senescence and suppression of proliferation. Moreover, the PTPN11 inhibitor (SHP099) also caused regression of NRASQ61K-mutant melanoma. Using a quantitative tyrosine phospho-proteomics approach, we identified GSK3α/β as one of the key substrates that were differentially tyrosine-phosphorylated in these experiments modulating PTPN11. This study demonstrates that PTPN11 plays oncogenic roles in melanoma and regulates RAS and GSK3α/β signaling pathways. This study also identifies PTPN11 as a novel and actionable therapeutic target for BRAF wild-type melanoma.

This abstract is also being presented as Poster A14.

Citation Format: Kristen S. Hill, Evan R. Roberts, Xue Wang, John M. Koomen, Jane L. Messina, Jamie K. Teer, Youngchul Kim, Jie Wu, Charles E. Chalfant, Minjung Kim. PTPN11 plays oncogenic roles and is a therapeutic target for BRAF wild-type melanomas [abstract]. In: Proceedings of the AACR Special Conference on Melanoma: From Biology to Target; 2019 Jan 15-18; Houston, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(19 Suppl):Abstract nr PR13.

LC-HRMS of derivatized urinary estrogens and estrogen metabolites in postmenopausal women

In order to undertake an epidemiologic study relating levels of parent estrogens (estrone and estradiol) and estrogen metabolites (EMs) to other breast cancer risk factors, we have optimized methods for EM quantification with ultra high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). A two-step approach was adopted; the first step comprised method development and evaluation of the method performance. The second step consisted of applying this method to quantify estrogens in postmenopausal women and determine if the observed patterns are consistent with the existing literature and prior knowledge of estrogen metabolism. First, 1-methylimidazole-2-sulfonyl chloride (MIS) was used to derivatize endogenous estrogens and estrogen metabolites in urine from study participants. Since C18 reversed phase columns have not been able to separate all the structurally related EMs, we used a C18-pentafluorophenyl (PFP) column. The parent estrogens and EMs were baseline resolved with distinct retention times on this C18-PFP column using a 30 min gradient. This method was used to quantify the parent estrogens and 13 EMs in urine samples collected in an initial pilot study involving males as well as pre- and peri-menopausal females to assess a range of EM levels in urine samples and enable comparison to the previous literature for assay evaluation. Detection limits ranged from 1 - 20 pg/mL depending on the EM. We evaluated matrix effects and interference as well as the intra- and inter-batch reproducibility including hydrolysis, extraction, derivatization and LC-MS analysis using charcoal-stripped human urine as a matrix. Methods were then applied to the measurement of estrogens in urine samples from 169 postmenopausal women enrolled in an epidemiological study to examine relationships between breast cancer risk, the intestinal microbiome, and urinary EMs. The results from our cohort are comparable to previous reports on urinary EMs in postmenopausal women and enabled thorough evaluation of the method.

Noncanonical EphA2 Signaling Is a Driver of Tumor-Endothelial Cell Interactions and Metastatic Dissemination in BRAF Inhibitor‒Resistant Melanoma

Acquired BRAF/MAPK/extracellular signal‒regulated kinase inhibitor resistance in melanoma results in a new transcriptional state associated with an increased risk of metastasis. In this study, we identified noncanonical ephrin receptor (Eph) EphA2 signaling as a driver of the resistance-associated metastatic state. We used mass spectrometry‒based proteomic and phenotypic assays to demonstrate that the expression of active noncanonical EphA2-S897E in melanoma cells led to a mesenchymal-to-amoeboid transition driven by Cdc42 activation. The induction of mesenchymal-to-amoeboid transition promoted melanoma cell invasion, survival under shear stress, adhesion to endothelial cells under continuous-flow conditions, increased permeability of endothelial cell monolayers, and stimulated melanoma transendothelial cell migration. In vivo, melanoma cells expressing EphA2-S897E or active Cdc42 showed superior lung retention after tail-vain injection. Analysis of BRAF inhibitor‒sensitive and ‒resistant melanoma cells demonstrated resistance to be associated with a mesenchymal-to-amoeboid transition switch, upregulation of Cdc42 activity, increased invasion, and transendothelial migration. The drug-resistant metastatic state was dependent on histone deacetylase 8 activity. Silencing of histone deacetylase 8 led to the inhibition of EphA2 and protein kinase B phosphorylation, reduced invasion, and impaired melanoma cell-endothelial cell interactions. In summary, we have demonstrated that the metastatic state associated with acquired BRAF inhibitor resistance is dependent on noncanonical EphA2 signaling, leading to increased melanoma-endothelial cell interactions and enhanced tumor dissemination.

Sirt2 Inhibition Enhances Metabolic Fitness and Effector Functions of Tumor-Reactive T Cells

Dysregulated metabolism is a key driver of maladaptive tumor-reactive T lymphocytes within the tumor microenvironment. Actionable targets that rescue the effector activity of antitumor T cells remain elusive. Here, we report that the Sirtuin-2 (Sirt2) NAD⁺-dependent deacetylase inhibits T cell metabolism and impairs T cell effector functions. Remarkably, upregulation of Sirt2 in human tumor-infiltrating lymphocytes (TILs) negatively correlates with response to TIL therapy in advanced non-small-cell lung cancer. Mechanistically, Sirt2 suppresses T cell metabolism by targeting key enzymes involved in glycolysis, tricarboxylic acid-cycle, fatty acid oxidation, and glutaminolysis. Accordingly, Sirt2-deficient murine T cells exhibit increased glycolysis and oxidative phosphorylation, resulting in enhanced proliferation and effector functions and subsequently exhibiting superior antitumor activity. Importantly, pharmacologic inhibition of Sirt2 endows human TILs with these superior metabolic fitness and effector functions. Our findings unveil Sirt2 as an unexpected actionable target for reprogramming T cell metabolism to augment a broad spectrum of cancer immunotherapies.

GMSimpute: a generalized two-step Lasso approach to impute missing values in label-free mass spectrum analysis

Motivation

Missingness in label-free mass spectrometry is inherent to the technology. A computational approach to recover missing values in metabolomics and proteomics datasets is important. Most existing methods are designed under a particular assumption, either missing at random or under the detection limit. If the missing pattern deviates from the assumption, it may lead to biased results. Hence, we investigate the missing patterns in free mass spectrometry data and develop an omnibus approach GMSimpute, to allow effective imputation accommodating different missing patterns.

Results

Three proteomics datasets and one metabolomics dataset indicate missing values could be a mixture of abundance-dependent and abundance-independent missingness. We assess the performance of GMSimpute using simulated data (with a wide range of 80 missing patterns) and metabolomics data from the Cancer Genome Atlas breast cancer and clear cell renal cell carcinoma studies. Using Pearson correlation and normalized root mean square errors between the true and imputed abundance, we compare its performance to K-nearest neighbors’ type approaches, Random Forest, GSimp, a model-based method implemented in DanteR and minimum values. The results indicate GMSimpute provides higher accuracy in imputation and exhibits stable performance across different missing patterns. In addition, GMSimpute is able to identify the features in downstream differential expression analysis with high accuracy when applied to the Cancer Genome Atlas datasets.

Availability and implementation

GMSimpute is on CRAN: https://cran.r-project.org/web/packages/GMSimpute/index.html.

Supplementary information

Supplementary data are available at Bioinformatics online.