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Synthetic lethality is a genetic interaction that results in cell death when two genetic deficiencies co-occur but not when either deficiency occurs alone, which can be co-opted for cancer therapeutics. Pairs of paralog genes are among the most straightforward potential synthetic–lethal interactions by virtue of their redundant functions. Here, we demonstrate a paralog-based synthetic lethality by targeting vaccinia-related kinase 1 (VRK1) in glioblastoma (GBM) deficient of VRK2, which is silenced by promoter methylation in approximately two thirds of GBM. Genetic knockdown of VRK1 in VRK2-null or VRK2-methylated cells resulted in decreased activity of the downstream substrate barrier to autointegration factor (BAF), a regulator of post-mitotic nuclear envelope formation. Reduced BAF activity following VRK1 knockdown caused nuclear lobulation, blebbing, and micronucleation, which subsequently resulted in G2–M arrest and DNA damage. The VRK1–VRK2 synthetic–lethal interaction was dependent on VRK1 kinase activity and was rescued by ectopic expression of VRK2. In VRK2-methylated GBM cell line–derived xenograft and patient-derived xenograft models, knockdown of VRK1 led to robust tumor growth inhibition. These results indicate that inhibiting VRK1 kinase activity could be a viable therapeutic strategy in VRK2-methylated GBM. Significance: A paralog synthetic–lethal interaction between VRK1 and VRK2 sensitizes VRK2-methylated glioblastoma to perturbation of VRK1 kinase activity, supporting VRK1 as a drug discovery target in this disease.

Supplementary Tables S1-S7

USP1 and PARP inhibition are synergistic in a BRCA1/2-dependent manner - related to Figure 4

CRISPR-UMI analysis and characterization of PCNA dynamics - related to Figure 3

Supplementary methods

I-138 inhibits USP1-UAF1 - related to Figure 1

I-138 activity in BRCA1/2 WT and mutant cells - related to Figure 2

CRISPR-UMI analysis of screens performed in NCI-H1693 cells - related to Figure 5

Supplementary Data from VRK1 Is a Synthetic–Lethal Target in VRK2-Deficient Glioblastoma

Supplementary Figure from VRK1 Is a Synthetic–Lethal Target in VRK2-Deficient Glioblastoma

Synthetic lethality is a genetic interaction that results in cell death when two genetic deficiencies co-occur but not when either deficiency occurs alone, which can be co-opted for cancer therapeutics. Pairs of paralog genes are among the most straightforward potential synthetic–lethal interactions by virtue of their redundant functions. Here, we demonstrate a paralog-based synthetic lethality by targeting vaccinia-related kinase 1 (VRK1) in glioblastoma (GBM) deficient of VRK2, which is silenced by promoter methylation in approximately two thirds of GBM. Genetic knockdown of VRK1 in VRK2-null or VRK2-methylated cells resulted in decreased activity of the downstream substrate barrier to autointegration factor (BAF), a regulator of post-mitotic nuclear envelope formation. Reduced BAF activity following VRK1 knockdown caused nuclear lobulation, blebbing, and micronucleation, which subsequently resulted in G2–M arrest and DNA damage. The VRK1–VRK2 synthetic–lethal interaction was dependent on VRK1 kinase activity and was rescued by ectopic expression of VRK2. In VRK2-methylated GBM cell line–derived xenograft and patient-derived xenograft models, knockdown of VRK1 led to robust tumor growth inhibition. These results indicate that inhibiting VRK1 kinase activity could be a viable therapeutic strategy in VRK2-methylated GBM.Significance:A paralog synthetic–lethal interaction between VRK1 and VRK2 sensitizes VRK2-methylated glioblastoma to perturbation of VRK1 kinase activity, supporting VRK1 as a drug discovery target in this disease.

Supplementary Figures 1-4 from PDK1 Attenuation Fails to Prevent Tumor Formation in PTEN-Deficient Transgenic Mouse Models

Figure S1. Genomic analysis of SWI/SNF alterations in human cancer. Figure S2. SMARCA4-deficient lung cancer cells depend on SMARCA2 expression for growth. Figure S3. In-situ cell extraction assay for PFI-3 treatment. Figure S4. SMARCA2/4 bromodomain inhibitor does not alter growth of lung cancer cells. Figure S5. Analysis of SMARCA4 target gene expression and promoter occupancy following prolonged treatment with PFI-3. Figure S6. Pharmacological PFI-3 inhibitor studies in leukemia cells. Figure S7. Pharmacological EZH2 inhibitor studies. Figure S8. Genome-wide microarray analysis of SMARCA2 knockdown in A549 cells reconstituted with SMARCA4 cDNAs. Table S1: Survey of genomic lesions in SWI/SNF across different cancer types. Table S2: Sequence information of shRNA's and siRNA's used in the study. Table S3. BROMOScan (DiscoveRx) profiling of PFI-3 (at 2uM) against 32 bromodomains. Table S4. Definition of gene sets (i.e. SMARCA2 knockdown signatures) from SMARCA4 rescue experiments in A549 cells. Table S5. Summary of GSEA normalized enrichment scores (NES) and false discovery rate (FDR) for rescue experiment using ATP-Dead, BRD-Mut and vector control and compared to WT.

Supplementary Methods, Figure Legends

KRAS is the most frequently mutated oncogene in human tumors and drives tumorigenesis across multiple lineages. Specifically, KRAS is mutated in about 30% of lung cancer and over 90% of pancreatic cancer. Despite recent progress in developing mutant selective KRASG12C inhibitors, patient treatment options for RAS activated cancers remain very limited. Targeting the MAPK pathway by means of MEK and ERK inhibitors has been explored as an alternative strategy for KRAS mutant cancer. However, the clinical benefit is modest due to drug resistance caused by reactivation of the MAPK pathway and potentially other pathways and/or bypass mechanisms. Here we used CRISPR-based screens to identify potential combination therapy targets to enhance trametinib response in KRAS mutant cancers. We screened in five KRAS mutant cell lines of lung and pancreatic lineages and identified both known as well as novel modulators of MEK inhibitor response. Consistent with previous reports, gene knockouts that impair the reactivation of ERK downstream of MEK inhibition scored as top hits in our drop-out screens. Knocking out MAPK1, RAF1, BRAF and PTPN11 sensitized all five cell lines to trametinib treatment supporting these as candidate drug combination targets for MAPK pathway inhibition. Our screens also identified multiple genes within the heparan sulfate pathway (EXT1, EXT2, EXTL3, XYLT2, ALG6, B3GAT3, B4GALT7 and HS2ST1) and the MAPK7 pathway (MAPK7 and MAP2K5) that sensitize multiple but not all cell lines to trametinib. As part of our target discovery platform, we further validated these screening results using various phenotypic assays. Altogether, our results suggest that resistance to MEK inhibitors is driven by reactivation of the MAPK pathway as previously demonstrated and that impairing such reactivation restores the sensitivity of KRAS mutant cancer cells to trametinib. The genetic mechanisms driving the MAPK pathway rebound are likely different in different cancers and understanding such mechanisms will be key for achieving clinical success. Citation Format: Silvia Fenoglio, Aileen M. Cristo, James Tepper, Teng Teng, Samuel R. Meier, Ashley Choi, Hongxiang Zhang, Shan-chuan Zhao, Shangtao Liu, Leanne G. Ahronian, Daniel Aird, Nikitha M. Das, Yi Yu, Robert Tjin Tham Sjin, Jannik N. Andersen, Alan Huang, Fang Li, Xuewen Pan. CRISPR screens identify sensitizers to trametinib in KRAS mutant cancer cell lines [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2021 Oct 7-10. Philadelphia (PA): AACR; Mol Cancer Ther 2021;20(12 Suppl):Abstract nr P183.

Tumors utilize many different escape mechanisms to evade anti-tumor immune responses. Xios Therapeutics has screened X-Chem’s proprietary 200-billion molecule DNA-encoded library against several immuno-oncology (IO) targets addressing T-cell centric, myeloid immunity and onco-metabolite pathways. Adenosine, for example, is a potent immunosuppressive metabolite, and the ecto-5-nucleotidase (a.k.a. CD73), which catalyzes the conversion of AMP to adenosine, is the rate limiting enzyme for the production of extracellular adenosine in the tumor microenvironment. Hence, CD73 and/or the downstream adenosine receptors are considered attractive targets for IO drug discovery. Likewise, the characteristics of tumor-associated macrophages (TAMs) have fueled interest in therapeutically targeting the colony-stimulating factor 1 axis (CSF1R). Here, we exemplify and enumerate the diversity, selectivity and physiochemical properties of selected hit-to-lead compounds identified from our DNA-encoded library screens of CD73, the adenosine A2A receptor and CSF1R. In the context of the immune-suppressive purinergic pathway, we have integrated structural biology, medicinal chemistry and clinical pathology evaluation of target expression across tumor types and developed both A2A selective and dual A2A/A2B selective receptor antagonists. From a DNA-encoded library screen, we have identified novel sub-micromolar ligands, which binds to CD73 in an ‘open conformation’ revealed by the co-crystal structure of X6034 (EC50 = 310 nM) in complex with CD73. Interestingly, an inorganic phosphate molecule (Pi) that is structurally shown to be co-present in the active site, illustrates the novelty of these inhibitors, which are chemically distinct from currently reported ADP/AMP substrate analogs. Finally, using tumor tissue microarrays and in situ cell hybridization (RNA-Scope; Advanced Cell Diagnostics), we have explored the co-expression pattern of pathway targets across a subset of immune cells. Informed by the tissue expression pattern of A2AR (primarily CD3+ T-Cells) and A2BR (primarily CD33+ myeloid cells), we compared the ability of equipotent A2A and dual A2A/A2B adenosine receptor antagonists to reverse the effect of NECA, a nonhydrolyzable analog of adenosine, on the maturation and activation of dendritic cells (DC). Starting with the differentiation of human immature DC, we demonstrate the added benefit of dual A2A/A2B inhibitors vs A2A selective inhibitors on relieving immunosuppression of myeloid cells. To conclude, the combination of all these data, together with the productivity of the DNA-encoded library screens for identifying novel, drug like chemical matter on challenging targets like CD73, provide a unique opportunity for potentially harnessing the full power of immunotherapy for cancer. Citation Format: Andrew J. McRiner, Jannik N. Andersen, Lynette A. Fouser, Junyi Zhang, Kaan Certel, John Cuozzo, Betty Chan, Ragunath Chandran, Matt Clark, Diana Gikunju, Christopher D. Hupp, Anthony D. Keefe, Julie Liu, Yanbin Liu, Michael Monteiro, Allison Olszewski, Moritz Von Rechenberg, Daniel Resnicow, Heather A. Thomson, Dawn M. Troast, Zooey Wang, Neil Westlund, Ying Zhang, Fei Zhou, Xiaotian Zhu, Michael Briskin, Diala Ezzeddine. Novel, potent, and selective small-molecule inhibitors modulating immuno-oncology targets CD73, A2A/A2B adenosine receptors and CSF1R discovered via DNA-encoded library screening [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 4453.

Since the first small molecule proteolysis targeting chimera (PROTAC) was reported about a decade ago, great progress has been made in the field of targeted protein degradation. Specially designed, small molecules can recruit the ubiquitin-proteasome system (UPS) to tag a protein of interest (POI) for degradation. Based on the ability to knock down a therapeutic POI (instead of inhibiting the target protein activity), this new modality has emerged as a paradigm-shifting approach and opened new avenues for small molecule drug discovery. At Xios Therapeutics, we have applied targeted protein degradation to a number of immuno-oncology (IO) drug targets and we present here the strategy and lessons learned from building our PROTAC platform in collaboration with X-Chem. Specifically, we have leveraged a vertical integration of DNA-encoded library screening (DEL), structural biology, medicinal chemistry, biochemical binding assays and cellular biomarker readouts for the rapid identification of cell potent degraders. We exemplify a modular, ‘fit-for-purpose’ PROTAC matrix that allows for rapid exploration of optimal E3 ligase-binders conjugated to a POI-binder using either existing or novel ligands identified via DEL. We delineate the structure-activity/property relationship (SAR and SPR) analysis of linker with VHL- and CRBN-based binders for a promising IO target achieving potent protein degradation (>90% degradation and nM DC50 potency) and pathway inhibition in cancer cells. Notably, our affinity-based screening of chemical libraries of unprecedented size (~200 billion molecules) with a priori knowledge of the vector point of attachment from the DNA barcode directly informs the rational design of bifunctional PROTAC molecules. In conclusion, our integrated approach allows us to find new, unexplored compound binding sites for both E3 ligases- and POI-binders that can be utilized by the PROTAC platform to create potent selective degraders and to access targets that have previously been considered undruggable. Citation Format: Jannik N. Andersen, Andrew J. McRiner, Lynette A. Fouser, Junyi Zhang, Shilpi Arora, Michael Cordeau, Ying Zhang, John Cuozzo, Michael Briskin, Matt Clark, Diala Ezzeddine. Degradation of immuno-oncology targets via proprietary PROTAC platform integrating DNA-encoded library technology and rational drug design [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 981.

The SWI/SNF multi-subunit complex modulates chromatin structure through the activity of two mutually exclusive catalytic subunits, SMARCA2 and SMARCA4, which both contain a bromodomain and an ATPase domain. Using RNAi, cancer-specific vulnerabilities have been identified in SWI/SNF mutant tumors, including SMARCA4-deficient lung cancer, however, the contribution of conserved, druggable protein domains to this anticancer phenotype is unknown. Here, we functionally deconstructed the SMARCA2/4 paralog dependence of cancer cells using bioinformatics, genetic and pharmacological tools. We evaluated a potent and selective SMARCA2/4 bromodomain inhibitor (PFI-3) and characterized its activity in chromatin-binding and cell-functional assays focusing on cells with altered SWI/SNF status (e.g. Lung, Synovial Sarcoma, Leukemia, and Rhabdoid tumors). We demonstrated that PFI-3 is a cell-permeable probe capable of displacing ectopically expressed, GFP-tagged SMARCA2-bromodomain from chromatin, yet contrary to target knockdown, the inhibitor failed to display an antiproliferative phenotype. Mechanistically, the lack of pharmacological efficacy was reconciled by the failure of bromodomain inhibition to displace endogenous, full-length SMARCA2 from chromatin as determined by in situ cell extraction, chromatin immunoprecipitation (ChIP) and target gene expression and promoter occupancy studies. Using RNAi and cDNA complementation (bromodomain and ATPase-dead constructs), we identified the catalytic ATPase domain, and not the bromodomain of SMARCA2, as a relevant therapeutic target. Taken together, our complementary genetic and pharmacological studies exemplify a general strategy for bromodomain drug-target validation and in case of SMARCA2/4 highlight the requirement for drugging the more challenging helicase/ATPase domain affording potential synthetic-lethal treatment options to cancer patients with genetically defined alterations in SWI/SNF. Citation Format: Bhavatarini Vangamudi, Thomas Paul, Parantu K. Shah, Maria K. Alimova, Lisa Nottebaum, Xi Shi, Yanai Zhan, Elisabetta Leo, Harshad S. Mahadeshwar, Alexei Protopopov, Andrew Futreal, Trang N. Tieu, Mike Peoples, Alessia Petrocchi, Joseph R. Marszalek, Carlo Toniatti, Timothy P. Heffernan, Dominique Verhelle, Giulio Draetta, Dafydd Owen, Philip Jones, Wylie Palmer, Shikhar Sharma, Jannik N. Andersen. The SMARCA2/4 catalytic activity, but not the bromodomain, is a drug target in SWI/SNF mutant cancers. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3528. doi:10.1158/1538-7445.AM2015-3528

The main objective of our project is to obtain a comprehensive insight into oncogenic signaling in order to develop novel diagnostic tools for molecular subtypes of breast cancer (BRCA). We have provided about 100 BRCA samples along with full pathology and clinical annotations to the TCGA program. These cancer samples have been extensively characterized using all available genomics platforms and the obtained molecular data contributed to the molecular characterization of BRCA. This integrated effort identified four major molecular subtypes of breast cancer that can be identified across five profiling platform including genomics, transcriptomics and proteomics (Nature, 490 (7418):61-70). Building upon these datasets we aim to translate these genomics profiles into diagnostic tools that can be used in every day medical practice. In the first step, we have generated tissue microarrays (TMAs) from FFPE BRCA samples obtained from the patients enrolled into the TCGA project. Next, the TMA slides were used for immunohistochemistry (IHC) using about 100 antibodies specific for major cancer markers, including oncogenic kinases frequently activated or overexpressed in BRCA. The obtained IHC results have been scored and verified independently for each marker by two board-certified pathologists. To identify markers that correlate with or are specific to the molecular subtypes of BRCA, the TMA/IHC read-outs from each tumor sample were correlated with all TCGA genomic data. In addition, we integrate the pathology and genomics results with clinical data obtained from the TCGA-enrolled patients, including up to 4 years follow-up. Finally, we apply system biology tools to integrate the genomic data from TCGA with the proteomic analysis to understand causalities between changes in DNA, transcriptome and signal transduction pathways. Our long-term goal is to identify novel diagnostic biomarkers that will precisely identify each molecular subtype of BRCA and which may be predictive of patient response to therapy thus paving the way for novel personalized therapies for cancer. Citation Format: Jannik Andersen, Parantu Shah, Konstanty Korski, Matthew Ibbs, Violetta Filas, Michal Kosiedowski, Juliusz Pukacki, Cezary Mazurek, Yuanqing Wu, Edward Chang, Carlo Toniatti, Giulio Draetta, Maciej Wiznerowicz. Applying TCGA data for breast cancer diagnostics and pathway analysis. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4272. doi:10.1158/1538-7445.AM2014-4272

Focal Adhesion Kinase (FAK) is a key regulator of cancer cell migration and invasion and overexpression of FAK and Src has been associated with resistance to current anticancer therapies. Thus, inhibition of FAK may represent a promising therapeutic approach to anti-cancer treatment. We investigated the anti-cancer activity of the FAK inhibitor (GSK2256098) in a panel of 26 human glioblastoma (GBM) cell lines. GBM is one of the most aggressive and lethal forms of cancer, characterized by exponential growth and diffuse invasiveness. Herein, we report that 8/26 GBM cell lines displayed sensitivity to FAK inhibition in both migration and Matrigel invasion assays. GSK2256098 had minimal effect on 2D cell proliferation. Integrated genomic and proteomic analyses revealed up-regulation of the PI3K and MAPK pathways in the FAK inhibitor-resistant GBM cell lines, suggesting possible drug combination strategies. To test this hypothesis, we assessed the effects of combining GSK2256098 with a PI3K inhibitor and a MEK inhibitor in the FAK inhibitor-resistant GBM cell lines. Our results suggest that multi-agent inhibition of FAK and MEK or PI3K may provide an attractive therapeutic strategy for GBM. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3714. doi:1538-7445.AM2012-3714

The human genome encodes some 500 protein kinases and an estimated twenty percent of drugs currently in development target this enzyme class. Because kinase inhibitors frequently bind to the conserved ATP-binding pocket, in vitro kinase selectivity profiling of drug candidates are an integral part of the small-molecule drug discovery process. Likewise, the co-development of pharmacodynamic (PD) biomarkers is critical to drug development as they link drug-target inhibition in cells with biological activity. As such PD biomarkers are essential for the interpretation of in vivo PK/PD/efficacy studies, which ultimately inform medicinal chemistry. Here, we present a universal mass-spectrometry-based approached to discover kinase drug-target engagement biomarkers using the phosphoinositide dependent protein kinase 1 (PDK1) as an example. Western blot analysis using a commercial available phosphosite-specific PDK1 antibody (Ser241) revealed that classical, ATP-competitive PDK1 inhibitors do not dynamically impact PDK1 T-loop phosphorylation in cells, despite cell biochemical inhibition of phospho-AKT(Thr308), a bona fide PDK1 substrate phosphorylation site. However, because receptor tyrosine kinases (RTKs), lipid kinases and other pathways often signal via AKT, the monitoring of phospho-AKT as a PD biomarker for PDK1 is not sufficient for delineating the specificity of small-molecule inhibitors and ascertain the degree of PDK1 target engagement in cells. Here, we used stable isotope labeling by amino acids (SILAC) in cell culture combined with immunoprecipitation of PDK1 protein from cells for quantitative mass-spectrometry-based identification of phosphorylation sites modulated by PDK1 inhibitor treatment. We mapped 10 Serine/Threonine phosphorylation sites on PDK1 including several novel phosphorylation sites. Of these, two PDK1 phosphorylation sites (Ser410 and Thr513) were modulated by pharmacological PDK1 inhibition and the degree of dephosphorylation correlated with inhibitor potency in PDK1 enzymatic assays. By contrast, pharmacological inhibition of PDK1 did not quantitatively modulate PDK1 T-loop phosphorylation (Ser241) consistent with the initial western blot analysis. Altogether, our study provides proof-of-concept for identifying novel kinase target engagement PD biomarkers for PDK1, complementing pathway biomarkers such p-AKT and p-S6RP, which are modulated broadly by PI3K-pathway targeting agents including inhibitors of PI3K/mTOR and RTKs. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4953.

Protein phosphorylation plays a key role in cell signaling and pathophysiological alterations in protein kinases and phosphatases contribute to human diseases. We used stable isotope labeling by amino acids (SILAC) in cell culture combined with phospho-antibody based enrichment for quantitative mass-spectrometry-based identification of differentially phosphorylated proteins in response to small-molecule PI3K-pathway inhibition. We quantified over 500 non-redundant serine/threonine phosphopeptides (NSTPs) containing either the AKT-, MAPK-substrate, or PDK1-docking motif. Of these NSTPs, 71 phosphoproteins were modulated by inhibitors targeting either AKT, PDK1 or PI3K/mTOR and a common set of 11 were modulated by all three drugs. Bioinformatics analysis of the regulated phosphoproteins identified core components of the canonical PI3K pathway and showed enrichment in adaptor and scaffolding molecules involved in cell polarity (PAK4), cytoskeletal reorganization (Filamin, Stathmin, Dynamin) vesicle transport (LARP1, VPS13D, SLC20A1), protein translation (S6RP and PRAS40), and transcription (EIF4BP-1). These results have guided the rational selection of antibodies for biomarker and patient stratification assays and a newly developed phosphor-specific antibody against PRAS40T246 shows specificity for oncogenic PI3K-pathway activation in PTEN-deficient mouse prostate tumor tissue by immunohistochemistry. In addition, the phospho-PRAS40T246 biomarker was evaluated across a panel of 67 breast and 96 lung cancer cell lines and in triple negative human breast tumor tissue. In these datasets, phopspho-PRAS40T246 positively correlates with phospho-AKTS473, but not PTEN protein expression. As such, we have positioned PRAS40T246 as a clinically relevant biomarker for the identification of PI3K-pathway activated tumors to enable individualized cancer therapy. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 5560.

Among the many types of molecular mechanisms that are currently understood, none is more important for the control of cellular faith than the network of protein kinases and phosphatases. The importance of understanding these signaling networks is furthermore highlighted by the fact that virtually all major pharmaceutical companies have significant projects focused on targeted interference against oncogenic kinases as potential anti-tumor therapies. Yet, a system's wide analysis of signaling phosphorylations by these inhibitors in in vivo (i.e. tissue or xenograft models) is cost prohibitive and rarely performed. The use of mass spectrometry is a powerful approach to study complex mixtures, and some techniques have used either chemical or metabolical isotopic labeling strategies to quantify protein differences between cohorts. While these techniques have been shown to be useful and are routinely applied for cell culture systems, they do not extend readily to in vivo studies as these require either combining of samples or are dependent on the duty cycle of the mass spectrometer. Here we report a generally applicable proteomic approach to identify global protein phosphorylation changes in in-vivo systems. This label-free discovery platform, named phospho-differential mass spectrometry (phospho-dMS) does not require complex mixing or pooling strategies or isotope labeling, and instead identifies statistically significant changes in full scan mass spectrometry data. Hence, in-vivo samples can be analyzed individually, allowing the use of longitudinal designs and within-subject data analysis. We demonstrate phospho-dMS on 27 breast tumor tissues samples (3 concentrations, 3 time points, 3 mice each) excised from a PTEN-LOF mouse model. We quantified in excess of 2000 high confidence phosphorylation events. The most prominent protein modules inhibited by compound treatment (P Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4561.