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Supplementary Table S1. Demographic and clinical parameters in 72 participants with cirrhosis (31 with HCC and 41 without HCC). Supplementary Table S2. Relative abundance (%) of the lipid classes detected in non-HCC exosomes, HCC exosomes, non-HCC plasma and HCC plasma.

Novel biomarkers for HCC surveillance in cirrhotic patients are urgently needed. Exosomes and their lipid content in particular represent potentially valuable noninvasive diagnostic biomarkers. We isolated exosomes from plasma of 72 cirrhotic patients, including 31 with HCC. Exosomes and unfractionated plasma were processed for untargeted lipidomics using ultra–high-resolution mass spectrometry. A total of 2,864 lipid species, belonging to 52 classes, were identified. Both exosome fractionation and HCC diagnosis had significant impact on the lipid profiles. Ten lipid classes were enriched in HCC exosomes compared with non-HCC exosomes. Dilysocardiolipins were detected in 35% of the HCC exosomes but in none of the non-HCC exosomes (P < 0.001). Cardiolipins and sphingosines had the highest differential effects (fold change of 133.08, q = 0.001 and 38.57, q < 0.001, respectively). In logistic regression analysis, high abundances of exosomal sphingosines, dilysocardiolipins, lysophosphatidylserines, and (O-acyl)-1-hydroxy fatty acids were strongly associated with HCC [OR (95% confidence interval (CI)), 271.1 (14.0–5,251.9), P < 0.001; 46.5 (2.3–939.9), P = 0.012; 14.9 (4.3–51.2), P < 0.001; 10.3 (3.2–33.1), P < 0.001]. Four lipid classes were depleted in HCC exosomes compared with non-HCC exosomes. In logistic regression analysis, lack of detection of sulfatides and acylGlcSitosterol esters was strongly associated with HCC [OR (95% CI): 215.5 (11.5–4,035.9), P < 0.001; 26.7 (1.4–528.4), P = 0.031]. These HCC-associated changes in lipid composition of exosomes reflected alterations in glycerophospholipid metabolism, retrograde endocannabinoid signaling, and ferroptosis. In conclusion, this study identified candidate biomarkers for early detection of HCC as well as altered pathways in exosomes that may contribute to tumor development and progression.Prevention Relevance:This study identifies lipids in circulating exosomes, that could serve as biomarkers for the early detection of hepatocellular carcinoma as well as altered pathways in exosomes that may contribute to tumor development and progression.

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Purpose: Early detection of colorectal cancer (CRC) and its precursor lesions is an effective approach to reduce CRC mortality rates. This study aimed to identify novel protein biomarkers for the early diagnosis of CRC.Experimental Design: Proximal fluids are a rich source of candidate biomarkers as they contain high concentrations of tissue-derived proteins. The FabplCre;Apc15lox/+ mouse model represents early-stage development of human sporadic CRC. Proximal fluids were collected from normal colon and colon tumors and subjected to in-depth proteome profiling by tandem mass spectrometry. Carcinoembryonic antigen (CEA) and CHI3L1 human serum protein levels were determined by ELISA.Results: Of the 2,172 proteins identified, quantitative comparison revealed 192 proteins that were significantly (P < 0.05) and abundantly (>5-fold) more excreted by tumors than by controls. Further selection for biomarkers with highest specificity and sensitivity yielded 52 candidates, including S100A9, MCM4, and four other proteins that have been proposed as candidate biomarkers for human CRC screening or surveillance, supporting the validity of our approach. For CHI3L1, we verified that protein levels were significantly increased in sera from patients with adenomas and advanced adenomas compared with control individuals, in contrast to the CRC biomarker CEA.Conclusion: These data show that proximal fluid proteome profiling with a mouse tumor model is a powerful approach to identify candidate biomarkers for early diagnosis of human cancer, exemplified by increased CHI3L1 protein levels in sera from patients with CRC precursor lesions. Clin Cancer Res; 18(9); 2613–24. ©2012 AACR.

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Juvenile Neuronal Ceroid Lipofuscinosis (or Batten disease) is an autosomal recessive, rare neurodegenerative disorder that affects mainly children above the age of 5 years and is most commonly caused by mutations in the highly conservedCLN3gene. Here, we generatedcln3morphants and stable mutant lines in zebrafish. Although neither morphant nor mutantcln3larvae showed any obvious developmental or morphological defects, behavioral phenotyping of the mutant larvae revealed higher basal activity, hyposensitivity to abrupt light changes and hypersensitivity to pro-convulsive drugs. Importantly, in-depth metabolomics and lipidomics analyses revealed significant accumulation of several glycerophosphodiesters (GPDs) and a global decrease of bis(monoacylglycero)phosphate (BMP) species, two classes of molecules previously proposed as potential biomarkers forCLN3disease based on independent studies in other organisms. We could also demonstrate GPD accumulation in human-induced pluripotent stem cell-derived cerebral organoids carrying a pathogenic variant forCLN3. Our models revealed that GPDs accumulate at very early stages of life in the absence of functional CLN3 and highlight glycerophosphoinositol and BMP as promising biomarker candidates for pre-symptomaticCLN3disease.

Novel biomarkers for HCC surveillance in cirrhotic patients are urgently needed. Exosomes and their lipid content in particular represent potentially valuable noninvasive diagnostic biomarkers. We isolated exosomes from plasma of 72 cirrhotic patients, including 31 with HCC. Exosomes and unfractionated plasma were processed for untargeted lipidomics using ultra–high-resolution mass spectrometry. A total of 2,864 lipid species, belonging to 52 classes, were identified. Both exosome fractionation and HCC diagnosis had significant impact on the lipid profiles. Ten lipid classes were enriched in HCC exosomes compared with non-HCC exosomes. Dilysocardiolipins were detected in 35% of the HCC exosomes but in none of the non-HCC exosomes (P < 0.001). Cardiolipins and sphingosines had the highest differential effects (fold change of 133.08, q = 0.001 and 38.57, q < 0.001, respectively). In logistic regression analysis, high abundances of exosomal sphingosines, dilysocardiolipins, lysophosphatidylserines, and (O-acyl)-1-hydroxy fatty acids were strongly associated with HCC [OR (95% confidence interval (CI)), 271.1 (14.0–5,251.9), P < 0.001; 46.5 (2.3–939.9), P = 0.012; 14.9 (4.3–51.2), P < 0.001; 10.3 (3.2–33.1), P < 0.001]. Four lipid classes were depleted in HCC exosomes compared with non-HCC exosomes. In logistic regression analysis, lack of detection of sulfatides and acylGlcSitosterol esters was strongly associated with HCC [OR (95% CI): 215.5 (11.5–4,035.9), P < 0.001; 26.7 (1.4–528.4), P = 0.031]. These HCC-associated changes in lipid composition of exosomes reflected alterations in glycerophospholipid metabolism, retrograde endocannabinoid signaling, and ferroptosis. In conclusion, this study identified candidate biomarkers for early detection of HCC as well as altered pathways in exosomes that may contribute to tumor development and progression. Prevention Relevance: This study identifies lipids in circulating exosomes, that could serve as biomarkers for the early detection of hepatocellular carcinoma as well as altered pathways in exosomes that may contribute to tumor development and progression.

MCL-1 and BCL-2 are both frequently overexpressed in acute myeloid leukemia and critical for the survival of acute myeloid leukemia cells and acute myeloid leukemia stem cells. MCL-1 is a key factor in venetoclax resistance. Using genetic and pharmacological approaches, we discovered that MCL-1 regulates leukemia cell bioenergetics and carbohydrate metabolisms, including the TCA cycle, glycolysis and pentose phosphate pathway and modulates cell adhesion proteins and leukemia-stromal interactions. Inhibition of MCL-1 sensitizes to BCL-2 inhibition in acute myeloid leukemia cells and acute myeloid leukemia stem/progenitor cells, including those with intrinsic and acquired resistance to venetoclax through cooperative release of pro-apoptotic BIM, BAX, and BAK from binding to anti-apoptotic BCL-2 proteins and inhibition of cell metabolism and key stromal microenvironmental mechanisms. The combined inhibition of MCL-1 by MCL-1 inhibitor AZD5991 or CDK9 inhibitor AZD4573 and BCL-2 by venetoclax greatly extended survival of mice bearing patient-derived xenografts established from an acute myeloid leukemia patient who acquired resistance to venetoclax/decitabine. These results demonstrate that co-targeting MCL-1 and BCL-2 improves the efficacy of and overcomes preexisting and acquired resistance to BCL-2 inhibition. Activation of metabolomic pathways and leukemia-stroma interactions are newly discovered functions of MCL-1 in acute myeloid leukemia, which are independent from canonical regulation of apoptosis by MCL-1. Our data provide new mechanisms of synergy and rationale for co-targeting MCL-1 and BCL-2 clinically in patients with acute myeloid leukemia and potentially other cancers.

T cells undergo metabolic rewiring to meet their bioenergetic, biosynthetic and redox demands following antigen stimulation. To fulfil these needs, effector T cells must adapt to fluctuations in environmental nutrient levels at sites of infection and inflammation. Here, we show that effector T cells can utilize inosine, as an alternative substrate, to support cell growth and function in the absence of glucose in vitro. T cells metabolize inosine into hypoxanthine and phosphorylated ribose by purine nucleoside phosphorylase. We demonstrate that the ribose subunit of inosine can enter into central metabolic pathways to provide ATP and biosynthetic precursors, and that cancer cells display diverse capacities to utilize inosine as a carbon source. Moreover, the supplementation with inosine enhances the anti-tumour efficacy of immune checkpoint blockade and adoptive T-cell transfer in solid tumours that are defective in metabolizing inosine, reflecting the capability of inosine to relieve tumour-imposed metabolic restrictions on T cells.

T-cell acute lymphoblastic leukemia (T-ALL) is commonly driven by activating mutations in NOTCH1 that facilitate glutamine oxidation. Here we identify oxidative phosphorylation (OxPhos) as a critical pathway for leukemia cell survival and demonstrate a direct relationship between NOTCH1, elevated OxPhos gene expression, and acquired chemoresistance in pre-leukemic and leukemic models. Disrupting OxPhos with IACS-010759, an inhibitor of mitochondrial complex I, causes potent growth inhibition through induction of metabolic shut-down and redox imbalance in NOTCH1-mutated and less so in NOTCH1-wt T-ALL cells. Mechanistically, inhibition of OxPhos induces a metabolic reprogramming into glutaminolysis. We show that pharmacological blockade of OxPhos combined with inducible knock-down of glutaminase, the key glutamine enzyme, confers synthetic lethality in mice harboring NOTCH1-mutated T-ALL. We leverage on this synthetic lethal interaction to demonstrate that IACS-010759 in combination with chemotherapy containing L-asparaginase, an enzyme that uncovers the glutamine dependency of leukemic cells, causes reduced glutaminolysis and profound tumor reduction in pre-clinical models of human T-ALL. In summary, this metabolic dependency of T-ALL on OxPhos provides a rational therapeutic target.

We have previously reported that pathogenic variants in a key metabolite repair enzyme NAXD cause a lethal neurodegenerative condition triggered by episodes of fever in young children. However, the clinical and genetic spectrum of NAXD deficiency is broadening as our understanding of the disease expands and as more cases are identified. Here, we report the oldest known individual succumbing to NAXD-related neurometabolic crisis, at 32 years of age. The clinical deterioration and demise of this individual were likely triggered by mild head trauma. This patient had a novel homozygous NAXD variant [NM_001242882.1:c.441+3A>G:p.?] that induces the mis-splicing of the majority of NAXD transcripts, leaving only trace levels of canonically spliced NAXD mRNA, and protein levels below the detection threshold by proteomic analysis. Accumulation of damaged NADH, the substrate of NAXD, could be detected in the fibroblasts of the patient. In agreement with prior anecdotal reports in paediatric patients, niacin-based treatment also partly alleviated some clinical symptoms in this adult patient. The present study extends our understanding of NAXD deficiency by uncovering shared mitochondrial proteomic signatures between the adult and our previously reported paediatric NAXD cases, with reduced levels of respiratory complexes I and IV as well as the mitoribosome, and the upregulation of mitochondrial apoptotic pathways. Importantly, we highlight that head trauma in adults, in addition to paediatric fever or illness, may precipitate neurometabolic crises associated with pathogenic NAXD variants.

The inferior cure rate of T-cell acute lymphoblastic leukemia (T-ALL) is associated with inherent drug resistance. The activating NOTCH1 gene mutations have been reported to cause chemoresistance at the stem cell level1. Direct NOTCH1 inhibition has failed in clinical trials due to a narrow therapeutic window but targeting key oncogenic and metabolic pathways downstream of mutated NOTCH1 may offer novel approaches. We previously reported that rapid transformation of thymocytes at the DN3 differentiation stage into preleukemic stem cells (pre-LSC) requires elevated Notch1 in addition to the presence of Scl/Lmo11. Notably, we showed that cellular metabolism of NOTCH1-mutated T-ALLs depends on Oxidative Phosphorylation (OxPhos) and that OxPhos inhibition using the complex I inhibitor IACS-010759 (OxPhos-i) is efficacious in NOTCH1-mutated T-ALL patient derived xenografts (PDXs)2. Here, we investigated the link between NOTCH1-mutated chemoresistance and OxPhos in pre-leukemic and leukemic cells, utilizing comprehensive molecular and functional assays. We hypothesized that chemotherapy aided by OxPhos-i overcomes chemoresistance, depletes LSCs and combats T-ALL. First, we analyzed the role of OxPhos in downstream Notch1 targets at the pre- and leukemic stage considering four stages of thymocyte differentiation (D1-D4), in a mouse model of human T-ALL1. Gene set enrichment analysis (GSEA) implicated increased expression of Notch1 target genes starting at DN1, and OxPhos target genes were the highest-ranked gene set at DN3. Next, activation of Notch1 by its ligand DL4 and inhibition of OxPhos reduced viability of pre-LSCs, indicating that ligand-dependent activation of Notch1 signaling upregulates the OxPhos pathway and sensitizes pre-LSCs to OxPhos-i. To clarify the role of Notch1 signaling, we examined the effect of IACS-010759 on pre-leukemic thymocytes harboring LMO1, SCL-LMO1, NOTCH1, LMO1-NOTCH1 and SCL-LMO1-NOTCH1 with and without DL4 stimulation. We found that in the absence of DL4, only thymocytes harboring the Notch1 oncogene responded to OxPhos-i, whereas all DL4-stimulated thymocytes responded regardless of Notch1 status (Fig. 1a). In addition, at the leukemic stage, we found elevation of the OxPhos pathway driven by oncogenic Notch1 when we compared transcriptomes of SCL-LMO1 induced T-ALL in the presence or absence of the NOTCH1 oncogene. In line with the murine T-ALL NOTCH1 model, we performed transcriptome analysis of two independent T-ALL patient cohorts prior to chemotherapy, COG TARGET ALL (n=263) and AALL1231 (n=75), comparing transcriptomes of NOTCH1-mutated vs NOTCH1-wt T-ALLs. We found co-segregation of NOTCH1 mutations with significant upregulation of OxPhos and TCA cycle genes and downregulation of apoptosis signaling. Aiming to reverse the NOTCH1-controlled anti-apoptotic program and chemoresistance, we next tested the combination of Vincristine, Dexamethasone and L-Asparaginase (VXL) with IACS-010759. When compared to vehicle, OxPhos-i or VXL alone, only the VXL-OxPhos-i treatment caused an energetic crisis indicated by decreased OCR and ECAR (Seahorse), which translated to a profound reduction of viability (CTG, flow cytometry) in T-ALL cell lines (n=9) and primary T-ALL samples (n=5). Additionally, the IACS-VXL combination in vivo resulted in pan-metabolic blockade, which caused metabolic shut-down and triggered early induction of apoptosis in leukemic cells in peripheral blood, spleen and bone marrow (Fig. 1b). Single cell Proteomic analysis (CyTOF) of spleen showed reduced expression of cell proliferation marker -ki67, c-myc, ERK and p38 proteins, and reduction in number of leukemic cells. Finally, this combination therapy resulted in reduced leukemia burden and extension of overall survival across all three aggressive NOTCH1-mutated T-ALL PDX models (p Disclosures Jabbour: Pfizer: Other: Advisory role, Research Funding; Genentech: Other: Advisory role, Research Funding; BMS: Other: Advisory role, Research Funding; Takeda: Other: Advisory role, Research Funding; Amgen: Other: Advisory role, Research Funding; Adaptive Biotechnologies: Other: Advisory role, Research Funding; AbbVie: Other: Advisory role, Research Funding. Teachey:Sobi: Consultancy; Amgen: Consultancy; Janssen: Consultancy; La Roche: Consultancy. Rezvani:Takeda: Other: Licensing agreement; GemoAb: Membership on an entity's Board of Directors or advisory committees; Adicet Bio: Membership on an entity's Board of Directors or advisory committees; Virogen: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Other: Educational grant; Affimed: Other: Educational grant; Formula Pharma: Membership on an entity's Board of Directors or advisory committees. Andreeff:Daiichi-Sankyo; Jazz Pharmaceuticals; Celgene; Amgen; AstraZeneca; 6 Dimensions Capital: Consultancy; Daiichi-Sankyo; Breast Cancer Research Foundation; CPRIT; NIH/NCI; Amgen; AstraZeneca: Research Funding; Centre for Drug Research & Development; Cancer UK; NCI-CTEP; German Research Council; Leukemia Lymphoma Foundation (LLS); NCI-RDCRN (Rare Disease Clin Network); CLL Founcdation; BioLineRx; SentiBio; Aptose Biosciences, Inc: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding. Lorenzi:Precision Pathways: Consultancy. Konopleva:Calithera: Research Funding; Kisoji: Consultancy; AbbVie: Consultancy, Research Funding; Sanofi: Research Funding; Genentech: Consultancy, Research Funding; F. Hoffmann La-Roche: Consultancy, Research Funding; Cellectis: Research Funding; Rafael Pharmaceutical: Research Funding; Eli Lilly: Research Funding; Reata Pharmaceutical Inc.;: Patents & Royalties: patents and royalties with patent US 7,795,305 B2 on CDDO-compounds and combination therapies, licensed to Reata Pharmaceutical; Agios: Research Funding; AstraZeneca: Research Funding; Ablynx: Research Funding; Forty-Seven: Consultancy, Research Funding; Amgen: Consultancy; Stemline Therapeutics: Consultancy, Research Funding; Ascentage: Research Funding.

Background: Hispanics in South Texas have high rates of hepatocellular carcinoma (HCC) and nonalcoholic fatty liver disease (NAFLD). Liver fibrosis severity is the strongest predictive factor of NAFLD progression to HCC. We examined the association between free fatty acids (FA) and advanced liver fibrosis or HCC in this population. Methods: We quantified 45 FAs in plasma of 116 subjects of the Cameron County Hispanic Cohort, 15 Hispanics with HCC, and 56 first/second-degree relatives of Hispanics with HCC. Liver fibrosis was assessed by FibroScan. Results: Advanced liver fibrosis was significantly associated with low expression of very long chain (VLC) saturated FAs (SFA), odd chain SFAs, and VLC n-3 polyunsaturated FAs [PUFA; AOR; 95% confidence interval (CI), 10.4 (3.7–29.6); P < 0.001; 5.7 (2.2–15.2); P < 0.001; and 3.7 (1.5–9.3); P = 0.005]. VLC n3-PUFAs significantly improved the performance of the noninvasive markers for advanced fibrosis - APRI, FIB-4, and NFS. Plasma concentrations of VLC SFAs and VLC n-3 PUFAs were further reduced in patients with HCC. Low concentrations of these FAs were also observed in relatives of patients with HCC and in subjects with the PNPLA3 rs738409 homozygous genotype. Conclusions: Low plasma concentrations of VLC n-3 PUFAs and VLC SFAs were strongly associated with advanced liver fibrosis and HCC in this population. Genetic factors were associated with low concentrations of these FAs as well. Impact: These results have implications in identifying those at risk for liver fibrosis progression to HCC and in screening this population for advanced fibrosis. They also prompt the evaluation of VLC n-3 PUFA or VLC SFA supplementation to prevent cirrhosis and HCC.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Exposure to ambient air particulate matter (PM2.5) is well established as a risk factor for cardiovascular and pulmonary disease. Both epidemiologic and controlled exposure studies in humans and animals have demonstrated an association between air pollution exposure and metabolic disorders such as diabetes. Given the central role of the liver in peripheral glucose homeostasis, we exposed mice to filtered air or PM2.5 for 16 weeks and examined its effect on hepatic metabolic pathways using stable isotope resolved metabolomics (SIRM) following a bolus of 13C6-glucose. Livers were analyzed for the incorporation of 13C into different metabolic pools by IC-FTMS or GC-MS. The relative abundance of 13C-glycolytic intermediates was reduced, suggesting attenuated glycolysis, a feature found in diabetes. Decreased 13C-Krebs cycle intermediates suggested that PM2.5 exposure led to a reduction in the Krebs cycle capacity. In contrast to decreased glycolysis, we observed an increase in the oxidative branch of the pentose phosphate pathway and 13C incorporations suggestive of enhanced capacity for the de novo synthesis of fatty acids. To our knowledge, this is one of the first studies to examine 13C6-glucose utilization in the liver following PM2.5 exposure, prior to the onset of insulin resistance (IR).

Juvenile neuronal ceroid lipofuscinosis (JNCL, aka. juvenile Batten disease or CLN3 disease) is a lysosomal storage disease characterized by progressive blindness, seizures, cognitive and motor failures, and premature death. JNCL is caused by mutations in the Ceroid Lipofuscinosis, Neuronal 3 (CLN3) gene, whose function is unclear. Although traditionally considered a neurodegenerative disease, CLN3 disease displays eye-specific effects: Vision loss not only is often one of the earliest symptoms of JNCL, but also has been reported in non-syndromic CLN3 disease. Here we described the roles of CLN3 protein in maintaining healthy retinal pigment epithelium (RPE) and normal vision. Using electroretinogram, fundoscopy and microscopy, we showed impaired visual function, retinal autofluorescent lesions, and RPE disintegration and metaplasia/hyperplasia in a Cln3 ~ 1 kb-deletion mouse model [1] on C57BL/6J background. Utilizing a combination of biochemical analyses, RNA-Seq, Seahorse XF bioenergetic analysis, and Stable Isotope Resolved Metabolomics (SIRM), we further demonstrated that loss of CLN3 increased autophagic flux, suppressed mTORC1 and Akt activities, enhanced AMPK activity, and up-regulated gene expression of the autophagy-lysosomal system in RPE-1 cells, suggesting autophagy induction. This CLN3 deficiency induced autophagy induction coincided with decreased mitochondrial oxygen consumption, glycolysis, the tricarboxylic acid (TCA) cycle, and ATP production. We also reported for the first time that loss of CLN3 led to glycogen accumulation despite of impaired glycogen synthesis. Our comprehensive analyses shed light on how loss of CLN3 affect autophagy and metabolism. This work suggests possible links among metabolic impairment, autophagy induction and lysosomal storage, as well as between RPE atrophy/degeneration and vision loss in JNCL.

Andrew Feinberg, Christine Iacobuzio-Donahue and colleagues describe the epigenomic reprogramming that occurs during pancreatic cancer progression. They also show that hematogenous metastases co-evolve a dependence on the oxidative branch of the pentose phosphate pathway (oxPPP) and that oxPPP inhibition reverses chromatin reprogramming and blocks tumorigenic potential.

T cells undergo metabolic reprogramming after they are activated. Rathmell and colleagues show that inflammatory Toll-like receptor signals induce glycolysis and impair the suppression of regulatory T cells, but Foxp3 can promote a switch to oxidative phosphorylation and suppression.

Summary T cell acute lymphoblastic leukemia (T-ALL) is an aggressive malignancy associated with Notch pathway mutations. While both normal activated and leukemic T cells can utilize aerobic glycolysis to support proliferation, it is unclear to what extent these cell populations are metabolically similar and if differences reveal T-ALL vulnerabilities. Here we show that aerobic glycolysis is surprisingly less active in T-ALL cells than proliferating normal T cells and that T-ALL cells are metabolically distinct. Oncogenic Notch promoted glycolysis but also induced metabolic stress that activated 5′ AMP-activated kinase (AMPK). Unlike stimulated T cells, AMPK actively restrained aerobic glycolysis in T-ALL cells through inhibition of mTORC1 while promoting oxidative metabolism and mitochondrial Complex I activity. Importantly, AMPK deficiency or inhibition of Complex I led to T-ALL cell death and reduced disease burden. Thus, AMPK simultaneously inhibits anabolic growth signaling and is essential to promote mitochondrial pathways that mitigate metabolic stress and apoptosis in T-ALL.

Acetate is a major nutrient that supports acetyl-coenzyme A (Ac-CoA) metabolism and thus lipogenesis and protein acetylation. Its source however has been unclear. Here we report that pyruvate, the end product of glycolysis and key node in central carbon metabolism, quantitatively generates acetate in mammals. This phenomenon becomes more pronounced in contexts of nutritional excess such as during hyperactive glucose metabolism. Conversion of pyruvate to acetate occurs through two mechanisms: 1) coupling to reactive oxygen species (ROS), and 2) neomorphic enzyme activity from keto acid dehydrogenases that enable function as pyruvate decarboxylases. Further, we demonstrate that de novo acetate production sustains Ac-CoA pools and cell proliferation in limited metabolic environments such as during mitochondrial dysfunction or ATP citrate lyase (ACLY) deficiency. De novo acetate production occurs in mammals and is further coupled to mitochondrial metabolism providing possible regulatory mechanisms and links to pathophysiology.

Delivering isotopic tracers for metabolic studies in rodents without overt stress is challenging. Current methods achieve low label enrichment in proteins and lipids. Here, we report noninvasive introduction of 13C6-glucose via a stress-free, ad libitum liquid diet. Using NMR and ion chromatography-mass spectrometry, we quantify extensive 13C enrichment in products of glycolysis, the Krebs cycle, the pentose phosphate pathway, nucleobases, UDP-sugars, glycogen, lipids, and proteins in mouse tissues during 12 to 48 h of 13C6-glucose feeding. Applying this approach to patient-derived lung tumor xenografts (PDTX), we show that the liver supplies glucose-derived Gln via the blood to the PDTX to fuel Glu and glutathione synthesis while gluconeogenesis occurs in the PDTX. Comparison of PDTX with ex vivo tumor cultures and arsenic-transformed lung cells versus xenografts reveals differential glucose metabolism that could reflect distinct tumor microenvironment. We further found differences in glucose metabolism between the primary PDTX and distant lymph node metastases., Isotope tracer administration for probing metabolism in vivo is important to assess metabolic functions in a relevant physiological setting. Here, the authors report a non-invasive method of administering 13C6- glucose to mouse models via liquid diet feeding to achieve deep metabolic network coverage.

Upregulated glycolysis, both in normoxic and hypoxic environments, is a nearly universal trait of cancer cells. The enormous difference in glucose metabolism offers a target for therapeutic intervention with a potentially low toxicity profile. The past decade has seen a steep rise in the development and clinical assessment of small molecules that target glycolysis. The enzymes in glycolysis have a highly heterogeneous nature that allows for the different bioenergetic, biosynthetic, and signaling demands needed for various tissue functions. In cancers, these properties enable them to respond to the variable requirements of cell survival, proliferation and adaptation to nutrient availability. Heterogeneity in glycolysis occurs through the expression of different isoforms, posttranslational modifications that affect the kinetic and regulatory properties of the enzyme. In this review, we will explore this vast heterogeneity of glycolysis and discuss how this information might be exploited to better target glucose metabolism and offer possibilities for biomarker development.

Bcl-2 and Mcl-1 play critical roles in AML stem/progenitor cell survival. Venetoclax (VEN), a highly selective Bcl-2 inhibitor, showed potent preclinical activity but limited clinical efficacy in AML. Expression of Mcl-1, a major VEN resistance factor is induced by VEN. Non-apoptotic activity of Mcl-1 has been reported but is not well understood in AML. We previously demonstrated that inhibition of Mcl-1 enhances VEN apoptogenic activity and overcomes intrinsic and acquired VEN resistance in vitro and in vivo in a PDX murine model of AML (Carter BZ et al., ASH 2018). Interestingly, CyTOF analysis of bone marrow PDX cells collected from mice treated with Bcl-2 inhibitor VEN, Mcl-1 inhibitor AZD5991, and the combination showed that AZD5991 or AZD5991+VEN, but not VEN alone greatly decreased CXCR4 in leukemia cells and stem/progenitor cell populations. Mcl-1 expression is to a large degree regulated by microenvironment clues, including CXCR4-CXCL12 axis. We found that inhibition of Mcl-1 also suppressed cell metabolic activities in AML cells suggesting that Mcl-1 may regulate leukemia-microenvironment interaction and cell metabolic functions, which may contribute to the efficacy of this combination against AML stem cells in the bone marrow microenvironment. To further investigate the roles of Mcl-1 in leukemia-stromal interactions, we determined the expression of proteins involved in cell migration and adhesion and found that Mcl-1 overexpressing (OE) or knockdown (KD) OCI-AML3 cells have increased/decreased cell surface expression of CXCR4 and CD44, both critical for leukemia-MSC (mesenchymal stroma cell) interactions. Mcl-1 OE or KD AML cells showed increased/decreased migration towards and adhesion to MSCs compared to their respective controls. Consistent with this observation, pharmacological inhibition of Mcl-1 with AZD5991 also decreased surface CXCR4 and CD44 levels in OCI-AML3 cells and decreased the interactions between leukemia and MSCs. Under the same conditions, Mcl-1 seems to exert a more profound effect on leukemia cell adhesion than migration to MSCs. Interestingly, inhibition of Bcl-2 with VEN did not significantly decrease CD44 or migration and adhesion of AML cells to MSCs, although a decrease in surface levels of CXCR4 was observed. To gain additional insight into the effects of Mcl-1 on cellular energetics and metabolism, we performed metabolomic analysis, employing a previously established method using ion chromatography-mass spectrometry (IC-MS) to trace 13C labels from 13C2-1,2-glucose and 13C5-glutamine in Mcl-1 genetically and pharmacologically modulated AML cells. Metabolomic analysis showed that overall 13C enrichment into key TCA cycle intermediates including citrate, fumarate, and malate was significantly lower in cells with Mcl-1 inhibition, by either AZD5991 or Mcl-1 KD, compared to the respective controls, both for 13C coming from glucose and glutamine, the two main carbon sources entering the TCA cycle. We observed a decrease in the total amount of secreted lactate in both the 13C2-1,2-glucose and 13C5-glutamine tracing experiments. Enrichment of 13C label in secreted lactate was mostly observed during 13C2-1,2-glucose tracing, but not during 13C5-glutamine tracing, indicating that lactate secretion is largely derived from glucose, and not from glutamine, suggesting a reduction in flux through glycolysis and/or pentose phosphate pathway (PPP). Flux through the oxidative PPP (OxPPP) is a rate limiting pathway in the generation of reductive equivalents of NADPH for ROS neutralization. Relative OxPPP flux calculation showed a decrease in OxPPP flux for both AZD5991 treatment and Mcl-1 KD. Levels of 6-Phospho-Gluconic acid (6PG) were also greatly reduced in Mcl-1 inhibited cells, in accordance with differential regulation of the OxPPP. Mcl-1 inhibition by AZD5991 or KD also decreased ATP levels. Collectively, inhibition of Mcl-1 results in a broad downregulation in cellular energetics and metabolism. Conclusion: data demonstrate that in addition to regulating apoptosis, Mcl-1 regulates leukemia-stromal interactions and metabolic activity in leukemia cells and that inhibition of Mcl-1 has anti-leukemia activity and enhance VEN activity through not only apoptosis induction, but also modulation of leukemia-stromal interactions and metabolic functions. Disclosures Carter: Ascentage: Research Funding; Amgen: Research Funding; AstraZeneca: Research Funding. Cidado:AstraZeneca: Employment. Drew:AstraZeneca: Employment. Andreeff:Daiichi Sankyo, Inc.: Consultancy, Patents & Royalties: Patents licensed, royalty bearing, Research Funding; Jazz Pharmaceuticals: Consultancy; Oncoceutics: Equity Ownership; Oncolyze: Equity Ownership; Breast Cancer Research Foundation: Research Funding; CPRIT: Research Funding; NIH/NCI: Research Funding; Center for Drug Research & Development: Membership on an entity's Board of Directors or advisory committees; Cancer UK: Membership on an entity's Board of Directors or advisory committees; NCI-CTEP: Membership on an entity's Board of Directors or advisory committees; German Research Council: Membership on an entity's Board of Directors or advisory committees; Leukemia Lymphoma Society: Membership on an entity's Board of Directors or advisory committees; NCI-RDCRN (Rare Disease Cliln Network): Membership on an entity's Board of Directors or advisory committees; CLL Foundation: Membership on an entity's Board of Directors or advisory committees; BiolineRx: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy; Senti Bio: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy; AstaZeneca: Consultancy; 6 Dimensions Capital: Consultancy; Reata: Equity Ownership; Aptose: Equity Ownership; Eutropics: Equity Ownership.

Background: In conditions of hyperactive cellular metabolism, excessive cellular nutrient uptake results in incomplete metabolism and excretion of intermediates. These intermediates may serve as unconventional fuel sources satisfy metabolic demands during nutrient scarcity. Interestingly, acetate metabolism provides a parallel pathway for acetyl-CoA production and allows for protein acetylation and lipogenesis independent of citrate conversion to acetyl-CoA. This pathway is important in tumorigenesis, immune alertness, neural plasticity, and other diverse contexts but the origin of acetate has been unclear. Thus, we have conducted a re-evaluation of endogenous acetate generation and the biological relevance. Method: Cancer cells were cultured in RPMI medium with 13C labelled nutrients in the presence of 18O2. Mouse models of soft tissue sarcoma were generated in a mixed 129/SVJae and C57BL/6 background. A jugular vein catheter was surgically implanted and exteriorized via a vascular access port, which allows infusion of [13C6]-glucose via the venous catheter. Acetate in medium and blood is quantified using [2H3] labelled acetate as the standard after 2-hydrazinoquinoline (HQ) derivatization, and other polar metabolites were directly analyzed after cold methanol extraction. All metabolites were measured using liquid chromatography coupled with high resolution mass spectrometer. Results: By employing multiple-isotope tracing technology, quantitative proteomics, and mouse genetics tools, we demonstrated that acetate is quantitatively generated from pyruvate, the end product of glycolysis and key node in central carbon metabolism in cancer cells and tumor. One reaction mechanism found to generate acetate occur through altered enzyme activity of thiamine-dependent keto acid dehydrogenases, which transforms their activity to keto acid decarboxylases. The other reaction mechanism to generate acetate occur by reaction with reactive oxygen species (ROS), a finding which potentially links this pathway to numerous physiological and pathophysiological processes. Thiamine starvation and the addition of exogeneous ROS greatly stimulated the ROS contribution to acetate production, which can be used to replenish intracellular acetyl groups. Thus, increased acetate production and release could potentially favor the neighboring cells deficient in cytosolic acetyl-CoA, as demonstrated by co-culturing ACLY KO cells with HCT116 cells. Conclusion: We have not only provided direct evidence that acetate arises from endogenous metabolism of glucose in mammalian cells, but also identified the regulatory mechanisms, which involve ROS and mitochondrial functions. Note: This abstract was not presented at the meeting. Citation Format: Xiaojing Liu, Daniel E. Cooper, Ahmad A. Cluntun, Marc O. Warmoes, Steven Zhao, Michael A. Reid, Juan Liu, Peder J. Lund, Mariana Lopes, Benjamin A. Garcia, Kathryn E. Wellen, David G. Kirsch, Jason W. Locasale. Acetate production from glucose and coupling to mitochondrial metabolism in mammals [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 792.

In contrast to various signatures that predict the prognosis of breast cancer patients, markers that predict chemotherapy response are still elusive. To detect such predictive biomarkers, we investigated early changes in protein expression using two mouse models for distinct breast cancer subtypes who have a differential knock-out status for the breast cancer 1, early onset (Brca1) gene. The proteome of cisplatin-sensitive BRCA1-deficient mammary tumors was compared with that of cisplatin-resistant mammary tumors resembling pleomorphic invasive lobular carcinoma. The analyses were performed 24 h after administration of the maximum tolerable dose of cisplatin. At this time point, drug-sensitive BRCA1-deficient tumors showed DNA damage, but cells were largely viable. By applying paired statistics and quantitative filtering, we identified highly discriminatory markers for the sensitive and resistant model. Proteins up-regulated in the sensitive model are involved in centrosome organization, chromosome condensation, homology-directed DNA repair, and nucleotide metabolism. Major discriminatory markers that were up-regulated in the resistant model were predominantly involved in fatty acid metabolism, such as fatty-acid synthase. Specific inhibition of fatty-acid synthase sensitized resistant cells to cisplatin. Our data suggest that exploring the functional link between the DNA damage response and cancer metabolism shortly after the initial treatment may be a useful strategy to predict the efficacy of cisplatin.

Cancer and stromal cell metabolism is important for understanding tumor development, which highly depends on the tumor microenvironment (TME). Cell or animal models cannot recapitulate the human TME. We have developed an ex vivo paired cancerous (CA) and noncancerous (NC) human lung tissue approach to explore cancer and stromal cell metabolism in the native human TME. This approach enabled full control of experimental parameters and acquisition of individual patient's target tissue response to therapeutic agents while eliminating interferences from genetic and physiological variations. In this two-case study of non-small-cell lung cancer, we performed stable isotope-resolved metabolomic (SIRM) experiments on paired CA and NC lung tissues treated with a macrophage activator β-glucan and 13C6-glucose, followed by ion chromatography–Fourier transform mass spectrometry (IC-FTMS) and nuclear magnetic resonance (NMR) analyses of 13C-labeling patterns of metabolites. We demonstrated that CA lung tissue slices were metabolically more active than their NC counterparts, which recapitulated the metabolic reprogramming in CA lung tissues observed in vivo. We showed β-glucan-enhanced glycolysis, Krebs cycle, pentose phosphate pathway, antioxidant production, and itaconate buildup in patient UK021 with chronic obstructive pulmonary disease (COPD) and an abundance of tumor-associated macrophages (TAMs) but not in UK049 with no COPD and much less macrophage infiltration. This metabolic response of UK021 tissues was accompanied by reduced mitotic index, increased necrosis, and enhaced inducible nitric oxide synthase (iNOS) expression. We surmise that the reprogrammed networks could reflect β-glucan M1 polarization of human macrophages. This case study presents a unique opportunity for investigating metabolic responses of human macrophages to immune modulators in their native microenvironment on an individual patient basis.

Glutamine is an essential nutrient for cancer cell survival and proliferation. Enhanced utilization of glutamine often depletes its local supply, yet how cancer cells adapt to low glutamine conditions is largely unknown. Here, we report that IκB kinase β (IKKβ) is activated upon glutamine deprivation and is required for cell survival independently of NF-κB transcription. We demonstrate that IKKβ directly interacts with and phosphorylates 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase isoform 3 (PFKFB3), a major driver of aerobic glycolysis, at Ser269 upon glutamine deprivation to inhibit its activity, thereby down-regulating aerobic glycolysis when glutamine levels are low. Thus, due to lack of inhibition of PFKFB3, IKKβ-deficient cells exhibit elevated aerobic glycolysis and lactate production, leading to less glucose carbons contributing to tricarboxylic acid (TCA) cycle intermediates and the pentose phosphate pathway, which results in increased glutamine dependence for both TCA cycle intermediates and reactive oxygen species suppression. Therefore, coinhibition of IKKβ and glutamine metabolism results in dramatic synergistic killing of cancer cells both in vitro and in vivo. In all, our results uncover a previously unidentified role of IKKβ in regulating glycolysis, sensing low-glutamine-induced metabolic stress, and promoting cellular adaptation to nutrient availability.

CD4

Purpose: Early detection of colorectal cancer (CRC) and its precursor lesions is an effective approach to reduce CRC mortality rates. This study aimed to identify novel protein biomarkers for the early diagnosis of CRC. Experimental Design: Proximal fluids are a rich source of candidate biomarkers as they contain high concentrations of tissue-derived proteins. The FabplCre;Apc15lox/+ mouse model represents early-stage development of human sporadic CRC. Proximal fluids were collected from normal colon and colon tumors and subjected to in-depth proteome profiling by tandem mass spectrometry. Carcinoembryonic antigen (CEA) and CHI3L1 human serum protein levels were determined by ELISA. Results: Of the 2,172 proteins identified, quantitative comparison revealed 192 proteins that were significantly (P < 0.05) and abundantly (>5-fold) more excreted by tumors than by controls. Further selection for biomarkers with highest specificity and sensitivity yielded 52 candidates, including S100A9, MCM4, and four other proteins that have been proposed as candidate biomarkers for human CRC screening or surveillance, supporting the validity of our approach. For CHI3L1, we verified that protein levels were significantly increased in sera from patients with adenomas and advanced adenomas compared with control individuals, in contrast to the CRC biomarker CEA. Conclusion: These data show that proximal fluid proteome profiling with a mouse tumor model is a powerful approach to identify candidate biomarkers for early diagnosis of human cancer, exemplified by increased CHI3L1 protein levels in sera from patients with CRC precursor lesions. Clin Cancer Res; 18(9); 2613–24. ©2012 AACR.

Adult T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy characterized by limited therapeutic options and a high rate of treatment failure due to chemoresistance. T-ALL is largely driven by activating NOTCH1 mutations, where oncogenic NOTCH1 facilitates glutamine oxidation, induces metabolic stress, and facilitates reliance on oxidative phosphorylation (OXPHOS)1. In other malignancies, the shift toward OXPHOS-dependent high-energy status is associated with acquired chemoresistance. In this study, we found that the novel inhibitor of mitochondrial complex I (OXPHOSi) IACS-0107592 has preclinical activity in NOTCH1-mutated T-ALL; we also characterize the cellular and metabolic responses to OXPHOS inhibition and propose that an OXPHOSi be incorporated into standard-of-care therapy to improve outcomes in patients harboring NOTCH1-mutated T-ALL. Exposure to IACS-010759 (0-370 nM) in vitro drastically reduced T-ALL viability, with EC50 ranging from 0.1-10 nM for cell lines (n=7) and from 13-60 nM for patient-derived xenograft (PDX)-derived and primary T-ALL cells (n=10) (Fig.1). Oral administration of IACS-010759 (7.5 mg/kg/day) significantly reduced leukemia burden and extended overall survival (p In summary, our findings indicate that OXPHOSi, alone and particularly in combination with standard chemotherapy and GLS inhibition, constitutes a novel therapeutic modality that targets a unique metabolic vulnerability of NOTCH1-mutated T-ALL cells. References:Kishton RJ, Barnes CE, Nichols AG at al., AMPK Is Essential to Balance Glycolysis and Mitochondrial Metabolism to Control T-ALL Cell Stress and Survival, Cell Metabolism, 2016, 23(4):649-62Molina JR, Sun Y, Protopopova M et al., An inhibitor of oxidative phosphorylation exploits cancer vulnerability, Nat Med, 2018, 24: 1036-1046 Disclosures Lorenzi: NIH: Patents & Royalties; Erytech Pharma: Consultancy. Konopleva:Stemline Therapeutics: Research Funding.

Motivation: Spectral count data generated from label-free tandem mass spectrometry-based proteomic experiments can be used to quantify protein's abundances reliably. Comparing spectral count data from different sample groups such as control and disease is an essential step in statistical analysis for the determination of altered protein level and biomarker discovery. The Fisher's exact test, the G-test, the t-test and the local-pooled-error technique (LPE) are commonly used for differential analysis of spectral count data. However, our initial experiments in two cancer studies show that the current methods are unable to declare at 95% confidence level a number of protein markers that have been judged to be differential on the basis of the biology of the disease and the spectral count numbers. A shortcoming of these tests is that they do not take into account within- and between-sample variations together. Hence, our aim is to improve upon existing techniques by incorporating both the within- and between-sample variations. Result: We propose to use the beta-binomial distribution to test the significance of differential protein abundances expressed in spectral counts in label-free mass spectrometry-based proteomics. The beta-binomial test naturally normalizes for total sample count. Experimental results show that the beta-binomial test performs favorably in comparison with other methods on several datasets in terms of both true detection rate and false positive rate. In addition, it can be applied for experiments with one or more replicates, and for multiple condition comparisons. Finally, we have implemented a software package for parameter estimation of two beta-binomial models and the associated statistical tests. Availability and implementation: A software package implemented in R is freely available for download at http://www.oncoproteomics.nl/. Contact: t.pham@vumc.nl Supplementary information: Supplementary data are available at Bioinformatics online.

Patients with carcinoma of unknown primary (CUP) present with metastatic disease for which the primary site cannot be found, despite extensive standard investigation. Here, we describe the development and implementation of the first clinically available microarray-based test for this cancer type (CUPPrint), based on 633 individual tumors representing 30 carcinoma and 17 noncarcinoma classes. Tissue of origin prediction for either fresh frozen or paraffin-embedded tumor samples is achieved with the use of a custom 8-pack 1.9k microarray and robust classification algorithm. An expression profile of 495 genes was used to predict tumor origin by applying a k-nearest neighbor algorithm. Internal cross-validation and analysis of an independent, previously published, 229-sample dataset revealed that clinically informative predictions were made for up to 94% of samples analyzed. Analysis of 13 previously published CUP specimens yielded predicted tumor origins that supported the clinical suspicion in 12 cases (92%). Microarray profiling presents a promising tool to assist in the identification of the primary tumor and might direct a more tailored treatment for CUP patients.

Cancer cells adapt their metabolism to support proliferation and survival. A hallmark of cancer, this alteration is characterized by dysfunctional metabolic enzymes, changes in nutrient availability, tumor microenvironment and oncogenic mutations. Metabolic rewiring in cancer is tightly connected to changes at the epigenetic level. Enzymes that mediate epigenetic status of cells catalyze posttranslational modifications of DNA and histones and influence metabolic gene expression. These enzymes require metabolites that are used as cofactors and substrates to carry out reactions. This interaction of epigenetics and metabolism constitutes a new avenue of cancer biology and could lead to new insights for the development of anti-cancer therapeutics.

Tracer-based mapping of metabolic networks in vivo is a powerful approach for revealing metabolic reprogramming in human cancer. However, current in vivo labeling techniques for model animals face important challenges including insufficient depth of pathway coverage (e.g. inability to detect labeled nucleotides, proteins, and lipids) and stress-related artifacts. Here, we report stress-free administration of 13C6-glucose via liquid diet into mice. 13C enrichment was observed in metabolites of glycolysis, the Krebs cycle, the pentose phosphate pathway, nucleobases, UDP-sugars, as well as macromolecules glycogen, lipids, and proteins from major organs in NSG mice. We have applied the liquid diet method to map the glucose metabolic networks in NSCLC tumors in a patient-derived xenograft (PDX) model. We observed a high enrichment in the metabolites of glycolysis, Krebs cycle, and PPP as well as de novo synthesized nucleotides and amino acids by IC-UHR-FTMS analysis. Lung PDX displayed unexpected metabolic complexity, such as the use of pyruvate to fuel anaplerosis as well as gluconeogenesis. We also found high 13C enrichment in both tumor and plasma glutamine, which implies that glutamine in the PDX tumors largely came from other organs via the blood rather than being synthesized in situ. Our data showed that liquid diet is an effective and noninvasive means for comprehensive analysis of glucose-associated metabolic networks in human tumor xenografts, which can also be extended to SIRM studies with other fuel sources. Acknowledgements: This work was supported in part by grants: 1R01ES022191-01 (to TWMF and RMH), 1P01CA163223-01A1 (to ANL and TWMF), and 1U24DK097215-01A1 (to RMH, TWMF, and ANL) R.C. Sun was supported by a T32 training grant to M. Vore (5T32ES007266-25) Citation Format: Ramon C. Sun, Marc O. Warmoes, Ye Yang, Pan Deng, Qiushi Sun, Andrew N. Lane, Richard M. Higashi, Teresa W-M Fan. Liquid diet introduction of tracers into mice for stable isotope-resolved metabolomics (SIRM) investigations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2502. doi:10.1158/1538-7445.AM2017-2502

Rapid advances in mass spectrometry have allowed for estimates of absolute concentrations across entire proteomes, permitting the interrogation of many important biological questions. Here, we focus on a quantitative aspect of human cancer cell metabolism that has been limited by a paucity of available data on the abundance of metabolic enzymes. We integrate data from recent measurements of absolute protein concentration to analyze the statistics of protein abundance across the human metabolic network. At a global level, we find that the enzymes in glycolysis comprise approximately half of the total amount of metabolic proteins and can constitute up to 10% of the entire proteome. We then use this analysis to investigate several outstanding problems in cancer metabolism, including the diversion of glycolytic flux for biosynthesis, the relative contribution of nitrogen assimilating pathways, and the origin of cellular redox potential. We find many consistencies with current models, identify several inconsistencies, and find generalities that extend beyond current understanding. Together our results demonstrate that a relatively simple analysis of the abundance of metabolic enzymes was able to reveal many insights into the organization of the human cancer cell metabolic network.

Background SDS-PAGE followed by in-gel digestion (IGD) is a popular workflow in mass spectrometry-based proteomics. In GeLC-MS/MS, a protein lysate of a biological sample is separated by SDS-PAGE and each gel lane is sliced in 5–20 slices which, after IGD, are analyzed by LC-MS/MS. The database search results for all slices of a biological sample are combined yielding global protein identification and quantification for each sample. In large scale GeLC-MS/MS experiments the manual processing steps including washing, reduction and alkylation become a bottleneck. Here we introduce the whole gel (WG) procedure where, prior to gel slice cutting, the processing steps are carried out on the whole gel. Results In two independent experiments human HCT116 cell lysate and mouse tumor tissue lysate were separated by 1D SDS PAGE. In a back to back comparison of the IGD procedure and the WG procedure, both protein identification (>80% overlap) and label-free protein quantitation (R2=0.94) are highly similar between procedures. Triplicate analysis of the WG procedure of both HCT116 cell lysate and formalin-fixed paraffin embedded (FFPE) tumor tissue showed identification reproducibility of >88% with a CV

Breast cancer 1, early onset (BRCA1) hereditary breast cancer, a type of cancer with defects in the homology-directed DNA repair pathway, would benefit from the identification of proteins for diagnosis, which might also be of potential use as screening, prognostic, or predictive markers. Sporadic breast cancers with defects in the BRCA1 pathway might also be diagnosed. We employed proteomics based on one-dimensional gel electrophoresis in combination with nano-LC-MS/MS and spectral counting to compare the protein profiles of mammary tumor tissues of genetic mouse models either deficient or proficient in BRCA1. We identified a total of 3,545 proteins, of which 801 were significantly differentially regulated between the BRCA1-deficient and -proficient breast tumors. Pathway and protein complex analysis identified DNA repair and related functions as the major processes associated with the up-regulated proteins in the BRCA1-deficient tumors. In addition, by selecting highly connected nodes, we identified a BRCA1 deficiency signature of 45 proteins that enriches for homology-directed DNA repair deficiency in human gene expression breast cancer data sets. This signature also exhibits prognostic power across multiple data sets, with optimal performance in a data set enriched in tumors deficient in homology-directed DNA repair. In conclusion, by comparing mouse proteomes from BRCA1-proficient and -deficient mammary tumors, we were able to identify several markers associated with BRCA1 deficiency and a prognostic signature for human breast cancer deficient in homology-directed DNA repair.

Purpose Patients with adenocarcinoma of unknown primary origin (ACUP) constitute approximately 4% of all malignancies. For effective treatment of these patients, it is considered optimal to identify the primary tumor origins. Currently, the success rate of the diagnostic work-up is only 20% to 30%. Our goal was to evaluate the contribution of gene expression profiling for routine clinical practice in patients with ACUP. Patients and Methods Formalin-fixed, paraffin-embedded (FFPE) samples were obtained from 84 patients with a known primary adenocarcinoma and from 38 patients with ACUP. An extensive immunohistochemical panel classified 16 of the patients with ACUP, whereas 22 patients remained unclassified for their histogenetic origin. Information about staging procedures and clinical follow-up were available in all patient cases. The expression data were analyzed in relation to clinicopathologic variables and immunohistochemical results. Results The gene expression–based assay classified the primary site correctly in 70 (83%) of 84 patient cases of primary and metastatic tumors of known origin, with good sensitivity for the majority of the tumor classes and relatively poor sensitivity for primary lung adenocarcinoma. Gene expression profiling identified 15 (94%) of 16 patients with initial ACUP who were classified by immunohistochemistry, and it made a valuable contribution to a potential site of origin in 14 of the 22 patients with ACUP. Conclusion The gene expression platform can classify correctly from FFPE samples the majority of tumors classes both in patients with known primary and in patients with ACUP. Therefore, gene expression profiling represents an additional analytic approach to assist with the histogenetic diagnosis of patients with ACUP.

Background: Breast cancer is the most common malignancy in women in the western world. The outcome of breast cancer would be strongly improved if patients could be diagnosed and treated early. This especially holds for patients with hereditary breast cancer. Aim: Our aim is to identify proteins that are associated with BRCA1 deficient hereditary breast cancer. These proteins could have potential use as screening, prognostic or predictive biomarkers. Approach: In-depth proteome profiling of tumor tissues of mouse breast cancer models was employed to identify BRCA1-associated proteins. To this end, tumor tissue lysates of five BRCA1 deficient and five proficient mouse models (Liu et al., 2007) were fractionated using SDS-PAGE followed by tryptic in-gel digestion, nanoLC-MS/MS and database searching. Normalized spectral counting was used for protein quantification and beta binomial statistics to discover significantly regulated proteins. Ingenuity Pathway Analysis and COFECO protein complex analysis was used to support data interpretation. The prognostic power was assessed by the use of publicly available gene expression human breast cancer data sets. Results: We identified a total of 3614 proteins, of which 804 were differential between the genomic instable BRCA1-deficient and the genomic stable BRCA1-proficient breast tumors. Pathway analysis and protein complex identified DNA-repair and associated function like chromatin modeling and RNA processing as the major functions associated with the upregulated proteins of the BRCA1 deficient tumors. We created a core DNA-repair protein signature using pathway and protein Complex analysis. When the signature proteins were mapped to human breast cancer gene-expression data sets, they were shown to have prognostic power. Conclusion: Proteomics of genetic mouse models for familial breast cancer is a powerful strategy to discover novel candidate BRCA1 deficiency proteins with human relevance. The major upregulation of DNA-repair complexes may indicate a compensatory mechanism for loss of BRCA1 DNA-repair. Further validation studies are required to investigate prognostic candidates in tissue microarrays. Integration with data on tumor and cancer cell-secreted proteins will pinpoint which of the BRCA1 deficiency associated proteins may have potential for screening of BRCA1 tumors and whether they have predictive value for sensitivity to PARP1 inhibition and Cisplatin treatment in BRCA1 as well as non-BRCA1-deficient tumors. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 5109. doi:10.1158/1538-7445.AM2011-5109

21130 Background: Cancer of Unknown Primary Site (CUP) accounts for 3–5% of all malignant neoplasms. With current diagnostic procedures, approximately 20% of CUP patients have a primary identified. Since formulation of prognosis and treatment selection depends largely on the primary type, diagnostic uncertainty unfavorably affects CUP management. Gene expression profiling has permitted the development of diagnostic classifiers. A clinically usable methodology needs to differentiate a sufficiently large number of primary types. This study focuses on the estimate of the accuracy of gene expression for classification of metastatic tumors in formalin fixed (FF) FNA and core/surgical biopsies. Methods: CupPrint® is a 1900 gene microarray optimized for FF samples which uses a database of 643 cancer profiles to provide a robust method for the discrimination of 51 tumor (sub) types. Metastasis samples of six known primary carcinoma types were studied (lung, pancreas, colorectal, breast, liver, ovary/primary peritoneal carcinoma). To examine the impact of the metastatic site on diagnostic accuracy different biopsy sites were studied, including lung, brain, lymph nodes, liver, peritoneum. Samples were deemed evaluable that contained an estimated >33% tumor cells. mRNA samples from the metastatic lesions were provided in a blinded fashion to the microarray laboratory. Results: For 39 evaluable samples studied so far, the CupPrint® prediction was compared with the pathologic diagnosis. Of the 39, in 34 the primary site of origin was correctly predicted (87% accuracy). In two of the incorrectly predicted samples the site of biopsy (brain and liver respectively) was reported as the primary site. Correlations of molecular profiles to clinical parameters are being explored. Conclusions: CupPrint® appears to be sufficiently accurate to be of potential clinical utility in the diagnosis of CUP. No significant financial relationships to disclose.

20028 Background: It is critical for treatment decisions of metastatic disease to identify the primary tumor of the metastases, since the choice of optimal therapy depends on the correct diagnosis of the primary. Routine diagnostic evaluation is not sufficient to detect the primary site in 2–4% of all patients with pathology proven malignancy who present with metastatic disease. Currently the diagnostic yield is approximately between 20% and 30% for these patients. Microarray-based gene expression profiling has shown great promise to improve this. Methods: A microarray database was constructed of 497 frozen and 127 paraffin embedded (FFPE) samples representing 51 tumor types of both primary and metastatic tumors. The microarray database contained 22,000 gene-expression measurements for each sample. From the microarray database, we used an algorithm to search for gene combinations optimal for multi-tumor classification. This optimal gene-set was printed on 8-pack slides. These “1 × 3” glass slides contain eight mini-arrays with 1900 probes allowing for 8 simultaneous hybridizations, CUPPRINT. A k-nearest-neighbor-algorithm using this optimal gene-set was developed to discriminate between the 51 tumor types. We have independently verified the accuracy of this classification algorithm using FFPE samples from patients with metastases from 90 known and 50 unknown primary carcinomas. The expression data will be compared with clinicopathological data and an additional immunological panel of cytokeratin 7, cytokeratin 20, carcinogen embryonic antigen, CD 10, thyroid transcription factor 1, renal cell carcinoma, thyrogobulin, calcitonin, estrogen, progesterone, prostate specific antigen and CA 125. Results: The microarray based assay was able to classify correctly the primary site in 36 of 41 samples done so far (88% accuracy). The immunological panel showed a discriminative immunophenotype in 73% of these cases. For 49 known and 50 unknown primary tumors comparison between gene expression and clinicopathological investigations is currently pending. Conclusion: CUPPRINT, a microarrays based assay, is capable to accurately determine the tumor site of origin for a metastatic lesion. [Table: see text]