HOW TO ACCELERATE AND DE-RISK DRUG DEVELOPMENT IN ONCOLOGY - Right Biology, Right Target, Right Biomarkers - Biognosys
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Proteomics for Precision Medicine HOW TO ACCELERATE AND DE-RISK DRUG DEVELOPMENT IN ONCOLOGY Right Biology, Right Target, Right Biomarkers White Paper, May 2022
WHY DOES ONCOLOGY LEVERAGING PROTEOMICS ACROSS DRUG DEVELOPMENT FAIL? THE ONCOLOGY PIPELINE Fewer than one in 20 new cancer drugs ever make it to market.1 By enriching the Biognosys offers a unique suite of proteomics research platforms for every understanding of target biology, proteomics can de-risk the drug development application, from discovery to clinic. process and increase the likelihood of success. Despite more than a century of dedicated research, By uncovering the right biology, right target, and right cancer remains one of the leading causes of death.2 biomarkers, Biognosys’ TrueDiscovery™, TrueTarget™, Recent years have seen significant advances in treat- and TrueSignature™ proteomics platforms can gener- Novel Drug Target Identification ment, however, there is still much to be done to ensure ate the insights needed to support the next generation and Validation that scientific developments result in clinically mean- of cancer diagnostics, therapeutics, and clinical bio- DISCOVERY ingful improvements. On average, only 3% of oncology markers. Applications drugs ever make it to market1, and many of those that DRUG TARGET DECONVOLUTION do make a limited difference to quantity or quality of life Biognosys can lead you from the earliest stages of DRUG TARGET VALIDATION for patients.3,4 compound characterization through to identifying and validating biomarkers and developing the next genera- The reasons for these failures can broadly be separated tion of game-changing immunotherapies. We make it into three categories: easy to interpret your data to help you get the insights you need. And our facilities are Good Laboratory Prac- • Incomplete understanding of underlying biology tice (GLP) certified and Good Clinical Practice (GCP) (‘wrong biology’): Genomic and transcriptomic compliant, making us the first global large-scale pro- data does not always reveal the true underlying teomics service provider able to support you from the Unbiased Biological Insights complexity of cancer, leading to incomplete insights beginning to the end of your drug development journey. from Tissue and Biofluids into the biological processes in tumors. • Incorrect target (‘wrong target’): Several cancer PRE-CLINICAL Applications drugs do not act on their intended target. Analysis BIOFLUID BIOMARKER DISCOVERY of oncology drugs in clinical trials found several TISSUE BIOMARKER DISCOVERY cases of efficacy being achieved through off-target (a) Probability of Success of Clinical Trial Phases in Oncology MECHANISM OF ACTION STUDIES effects5 which can result in toxicity and side effects. 80 PHOSPHOPROTEOME PROFILING • Lack of effective biomarkers (‘wrong biomark- IMMUNOPEPTIDOME PROFILING 60 ers’): A lack of effective biomarkers prevents effec- 40 tive patient identification and stratification, while P1 to P2 hampering efforts to monitor treatment response in 20 P2 to P3 P3 to Approval the clinic. 0 Overall Oncology Although there are initiatives to de-risk the drug devel- Custom Panels for Absolute opment process, continually applying the same tools b) Probability of Success of Clinical trials in Different Protein Quantification Therapeutic Areas, Including Oncology and Without and approaches is unlikely to lead to innovative, first- or Oncology Applications CLINICAL best-in-class targets and transformative progress. 80 PHARMACODYNAMIC BIOMARKERS 60 CLINICAL BIOMARKER PANELS 40 20 Fig 1. a) & b). Source: Chi Heem Wong, Kien Wei Siah, Andrew W Lo. “Estimation of clinical trial success rates and related parameters.” 0 Biostatics 20(2): April 2019, Pages 273-286. Published online: 31 Overall Overall Excluding Oncology January 2018. DOI: 10.1093/biostatics/kxx069 2 / Proteomics for Precision Medicine, White Paper, May 2022 Proteomics for Precision Medicine, White Paper, May 2022 / 3
TRUEDISCOVERY™: TRUETARGET™: INSIGHTS INTO THE RIGHT BIOLOGY HIT THE RIGHT TARGET Biognosys’ TrueDiscovery™ platform can identify and quantify proteins in tissue and Powered by our patented LiP-MS technology, TrueTarget™ identifies on- and biofluids, offering unprecedented specificity at scale. Our integrated solutions function off-target drug binding. This can help identify the mechanism of action and across the entire drug development pipeline and can be performed in a GLP-certified and reveal unexpected side effects early on, accelerating and de-risking the drug GCP-compliant environment. development process. The journey to developing a new cancer therapy begins Phenotyping colorectal cancer Target validation is a crucial part of the drug discovery TrueTarget can help you: with understanding the underlying biology. To do this, it Colorectal cancer is highly heterogeneous,6 with molec- journey. Our proprietary TrueTarget platform offers a • Understand if and where your drug is binding to the is helpful to look at the proteome – the ultimate output ular signatures frequently varying between patients. unique way of probing drug-target interactions, provid- expected target of the genome – to really understand what is going on In collaboration with precision oncology experts ing an in-depth characterization of lead candidates to • Identify off-target binding and allosteric effects inside cells, tissues, and tumors. Indivumed, we performed large-scale proteome profil- increase confidence in your drug target. • Establish the mechanism of action ing of colorectal cancer patient biopsies and healthy • Identify potential issues with specificity and toxicity Genomics-based approaches, while useful, cannot be control tissue to obtain deeper functional insights into TrueTarget is based upon Limited Proteolysis cou- • De-risk the drug development process relied upon to give a complete picture of cancer biology. the biology of the cancer.7 We analyzed more than 900 pled with Mass Spectrometry (LiP-MS), a technique • Increase the chances of success in clinical trials This is because genomics and transcriptomics alone tissue samples in total, using just 5-10 mg of tissue in invented by Professor Paola Picotti at ETH Zurich and and accelerate the journey to market cannot determine the presence or expression level of each case, and profiled more than 7,000 proteins and co-developed by Biognosys. Unlike other approaches, proteins, or provide information about protein function 20,000 phospho-peptides. LiP-MS does not require compound modification or Target identification of a CDK9 inhibitor and structure. By contrast, proteomics can quantify and labeling, affinity-based purification, or prior knowledge Working together with AstraZeneca, we applied identify all proteins present in a sample, as well as pro- By integrating this data with Indivumed’s multi-omics of the compound’s mode of action. TrueTarget to profile a novel inhibitor of CDK9, a viding functional data in the form of post-translational database, we generated new insights into key mole- cyclin-dependent kinase with essential roles in cancer modifications, structural changes and degradation. cules and clinically relevant signaling pathways in col- TrueTarget generates unique peptide signatures that development. orectal cancer. These insights could help to identify new reveal drug binding sites at peptide-level resolution Biognosys’ TrueDiscovery platform, powered by our therapeutic targets and advance progress in precision across the entire proteome, whether in the intended tar- De-regulation of CDK9, one of the best characterized patented Hyper Reaction Monitoring (HRM) mass medicine for colorectal cancer. get or elsewhere. This approach can also be combined transcriptional CDKs, leads to a loss of cell cycle control spectrometry technology, offers unbiased identification with our deep learning algorithms to optimize your drug and tumor growth, making it an important therapeutic and quantification of thousands of proteins from any Beyond pure quantification, our proprietary HRM tech- discovery journey further, identifying and ranking drug target. We found that 80% of the top 10 peptide targets sample type – cells, tissue and biofluids. We are contin- nology also provides valuable information on mecha- target binding sites across species and a wide range of of the CDK9 inhibitor were members of the CDK fam- ually achieving new breakthroughs in depth. Our Tissue nism of action across a range of species and sample compound classes for rapid target deconvolution and ily, with CDK9 confirmed as the strongest target of the Biomarker Discovery service can now quantify 13,000 types. We can offer detailed insights into biological validation.8 inhibitor. Thanks to the peptide-level resolution provided proteins per tissue or tumor sample, while our Biofluid mechanisms inside cells and tissues during tumor by TrueTarget, we were also able to investigate the Biomarker Discovery service can detect 3,000 proteins development and in response to drugs or other experi- exact binding site of the drug. This revealed that the per sample of plasma and 5,000 proteins in cerebrospi- mental interventions. CDK9 CDK1 inhibitor binds within the ATP pocket of CDK9, as well nal fluid (CSF) and urine. TrueDiscovery analyzes thou- as CDK4 and CDK6, consistent with modeling predic- sands of samples simultaneously, making it suitable We can also provide important functional insights tions. for a breadth of studies from target-focused precision through the analysis of post-translational modifications, studies right through to large-scale drug screening. which play a critical role in regulating protein and cellu- Together with other mass spectrometry techniques, lar function but cannot be inferred from genomic data these insights helped define the selectivity and mode TrueDiscovery can help you: alone. For example, our phosphoproteome profiling of action of the inhibitor, including mapping the bind- • Profile the entire proteome, to unprecedented service offers in-depth, quantitative insights into the ing sites and identifying off-target effects.9 CDK4 CDK6 depth and in an unbiased manner kinases, phosphatases, and signaling cascades at work • Analyze post-translational modifications and other in cancer cells, revealing new targets for drug discovery. proteoforms • Perform discovery proteomics on a large scale TrueDiscovery provides an unrivaled opportunity to Fig 2. Representation of LiP data showing the CDK9 inhibitor • Generate reproducible data that are easily transfer- understand cancer biology in new depths, discover binding to its target proteins. CoM = center of mass. Taken from: able to clinical assays novel biomarkers, and establish the mechanism of Hendricks, J.A. et al (2021). Mechanistic Insights into a CDK9 Inhibitor • Deliver proteomics in a GLP-certified and action. Via Orthogonal Proteomics Methods. ACS Chemical Biology, 17(1), pp.54–67. GCP-compliant environment ATP Binding Site LiP-Quant Peptides Peptide CoM 4 / Proteomics for Precision Medicine, White Paper, May 2022 Proteomics for Precision Medicine, White Paper, May 2022 / 5
TRUESIGNATURE™: PROTEOMICS FOR BIOMARKER DEVELOP THE RIGHT BIOMARKERS DISCOVERY AND VALIDATION TrueSignature™ provides highly precise and customizable Our high throughput proteomics workflows can be applied to fresh-frozen or proteomics panels for pharmacodynamic readouts and clinical formalin-fixed tissue and tumor samples, blood plasma, and other biofluids, biomarker monitoring. including urine and CSF. Here are just a few examples of our technology in action. Clinical trials that use biomarkers for patient selection You can customize panels down to amino acid reso- Searching for biomarkers in blood plasma Biomarkers for companion diagnostics are more likely to succeed than trials that don’t.1 You lution, and panels are also transferable across sam- Blood plasma analysis (‘liquid biopsy’) offers an easily Companion diagnostics provides information essential can rely on Biognosys’ TrueSignature platform to estab- ple types and species, providing flexibility across the accessible way of monitoring cancer within the body. for the safe and effective use of a drug, for example, lish effective biomarkers for your clinical research. drug development pipeline from preclinical to clinical Plasma can be sampled at regular intervals, provid- identifying which patients are most likely to benefit research. ing an ongoing overview of health and therapeutic from a particular drug.11 Powered by Parallel Reaction Monitoring mass spec- response over time. Biognosys has pioneered an indus- trometry, TrueSignature provides customizable pro- Clinical biomarker panels try-leading approach to profiling the proteome, using We are combining our discovery proteomics tools with teomics panels for pharmacodynamic readouts and TrueSignature is used by our global biopharma partners automated depletion of the most abundant proteins to Siemens Healthineers’ diagnostic assay development clinical biomarker monitoring. Your custom TrueSig- to de-risk their clinical research. Our clinical biomarker achieve unprecedented depth, and in a fully unbiased and commercial expertise to help you develop compan- nature panels can be guided by insights from earlier panels can help you reliably validate and monitor bio- manner. ion diagnostics for your novel therapy. TrueDiscovery studies. markers to ensure the success of your therapeutic agent. Panels are flexible in size, can be multiplexed, Identifying tumor agnostic biomarkers We can streamline the progress of your companion Unlike affinity-based proteomics methods, our mass and are customizable across species and indications. We recently demonstrated the power of our novel diagnostic from the initial stages of biomarker discov- spectrometry technology doesn’t rely on the availabil- Our technology offers unbiased proteomic profiling at plasma proteomics workflow for oncology by analyz- ery right through to assay development and commer- ity of specific reagents such as antibodies. Panels can unprecedented depth and scale, without the limitations ing plasma samples from 180 people with lung, breast, cialization. Whether applied to early-stage research also be developed quickly, ready for you to use within a of affinity-based approaches and reagent availability, colorectal, pancreatic and prostate cancer. We detected or patient profiling for clinical trials, our unbiased pro- matter of weeks. alongside robust and reliable quantification. over 2,700 proteins and categorized people by cancer teomics solutions are transferable across species and type and stage using their plasma protein profiles. We suitable for all stages of the drug development pipe- TrueSignature can help you: We provide you with reproducible and comparable data also identified several predictive biomarker candidates, line. Furthermore, our facility is GLP certified and GCP • Take insights from preclinical research all the way across thousands of samples and multiple time points, including known biomarkers such as STAT3 in colorec- compliant, ensuring that any preclinical or clinical data through to clinical studies making TrueSignature ideal for large-scale clinical trials. tal cancer, as well as biomarkers with novel biological you collect has the quality and traceability required by • Build highly precise, customizable protein bio- significance.10 regulators for market authorization. marker panels • Simultaneously quantify up to 100 proteins, including post-translational modifications and other Pharmacodynamic biomarkers for protein degradation proteoforms therapeutics • Identify and quantify pharmacodynamic biomark- Clinical-stage biopharma company Kymera Therapeu- Fig 3. Stage Classification Across Cancer Types. In our cross-tumor biomarker study, GTR1 was differentially abundant across all cancers and ers for new therapeutics tics is developing cutting-edge therapeutics that har- could be used to predict stage. a) Boxplot visualization of log-transformed GTR1 quantities across stage and cancer type. Taken from: Tognetti, M. • Gather GCP-compliant data for clinical trials ness targeted protein degradation pathways to tackle et al (2021) Biomarker Candidates for Tumors Identified from Deep-Profiled Plasma Stem Predominantly from the Low Abundant Area. bioRxiv. autoimmune conditions, inflammatory diseases, cancer DOI: https://doi.org/10.1101/2021.10.05.463153 Pharmacodynamic biomarkers and more. TrueSignature can be applied to qualitative and quan- Breast Colorectal Lung Pancreatic Prostate titative identification of pharmacodynamic biomark- Building on our long-standing preclinical partnership, Breast Breast Cancer Breast Cancer Cancer Breast Breast Colorectal Cancer Colorectal Cancer Colorectal Cancer Cancer Cancer Colorectal Lung Colorectal CancerLung Cancer Lung Cancer Cancer Cancer Lung Lung Pancreatic Cancer Pancreatic Cancer Pancreatic Cancer Cancer Cancer Pancreatic PancreaticProstate CancerProstate CancerProstate Cancer Cancer Cancer Prostate Prostate Cancer Cancer c c c c c ers, which are essential for validating the efficacy and we developed custom TrueSignature proteomics pan- intensity 16 16 16 16 16 16 safety of new therapeutics. TrueSignature can speed up els to provide a pharmacodynamic readout of protein intensity log2 GTR1 intensity log2 GTR1 intensity log2 GTR1 intensity log2 GTR1 intensity 15 15 15 15 15 the decision-making process in the early stages of drug degradation in discovery research and clinical studies. GTR1 14 14 14 14 14 14 GTR1 development and ensure the success of your drug in These panels allow Kymera to monitor and quantify logLog2 13 13 13 13 13 future clinical trials. protein degradation across all stages of their drug 2 12 12 12 12 12 12 Healthy development pipeline. Early Late Healthy Healthy Healthy EarlyEarly Early LateEarly Healthy HealthyLateEarly Late Healthy Healthy Late Healthy Early Late Early Early LateEarly Healthy HealthyLateEarly Late Healthy Healthy Late Healthy Early Late Early Early LateEarly Healthy HealthyLateEarly Late Healthy Healthy Late Healthy Early Late Early Early LateEarly Healthy HealthyLateEarly Late Healthy Healthy Late Healthy Early Late Early Early LateEarly Healthy HealthyLateEarly LateLate Late 6 / Proteomics for Precision Medicine, White Paper, May 2022 Proteomics for Precision Medicine, White Paper, May 2022 / 7
DEEP INSIGHTS IN IMMUNO-ONCOLOGY CASE STUDIES Immunotherapy has revolutionized the way we treat cancer: a more targeted form of Here is a selection of case studies that highlight the potential of Biognosys treatment that has generated survival benefits for a range of patients. Proteomics is proteomics workflows in oncology research. Proteomics is a powerful tool for advancing immunotherapy even further by identifying new therapeutic targets and understanding the underlying biology and discovering actionable biomarkers to matching the right immunotherapy to the right patient. speed up and de-risk the oncology pipeline. So far, we have outlined some of the major pitfalls Immunopeptide profiling for next-generation Predicting treatment response in pancreatic cancer of drug development in oncology: understanding the immunotherapy Pancreatic ductal adenocarcinoma (PDAC) is the most We found that patients treated with nivolumab had underlying biology of cancer, identifying the correct Immunopeptidomics is the profiling of the small common form of pancreatic cancer, a disease with higher levels of proteins associated with type II inter- therapeutic target, and finding informative biomarkers fragments of proteins presented on the surface of a five-year survival rate of around 11%.18 There is an feron response, immune cell migration and T cell activa- for patient stratification and monitoring. cells by Major Histocompatibility Complex (MHC) or urgent need for new therapeutics and precision med- tion, and reduced levels of immunomodulatory proteins. Human Leukocyte Antigen (HLA) receptors, which act icine biomarkers in PDAC, to better understand which By contrast, patients treated with sotigalimab had All of these challenges – right biology, right target, and as signals to orchestrate the activity of the immune patients would be most likely to benefit from which higher levels of proteins associated with mature anti- right biomarkers – come together in the fast-develop- system. treatments. gen-presenting cells (APCs) and the activation of CD4+ ing field of immuno-oncology. T cells, B cells, and monocytes. Mass spectrometry is the only technology that can reli- As part of the Phase II PRINCE trial led by the Parker Immunotherapy has been revolutionary for cancer treat- ably quantify and identify immunopeptides in biological Institute for Cancer Immunotherapy (PICI),19 Biognosys’ We therefore showed that these two immunothera- ment, generating survival benefits across several can- samples at scale. Biognosys’ immunopeptidome pro- unbiased mass spectrometry proteomics workflow was pies generate unique immune responses. With further cer types.12,13,14 However, significant challenges remain. filing service is a semi-automated mass spectrometry used to investigate the effects of two immunotherapies development, these biomarker signatures could help Many patients do not respond to existing immunother- workflow that can robustly identify immunopeptides for PDAC: nivolumab and sotigalimab, in combination to identify PDAC patients who may benefit most from apies, highlighting the need to find better biomarkers from small amounts of cultured cells and tissue sam- with chemotherapy. particular drug combinations. to stratify patients. And while these treatments can be ples. curative for those who do respond, there are others for Understanding the side effects of immunotherapy whom the transformative effects of immunotherapy Immunopeptidomics has the potential to accelerate the In research presented at the 2021 American Associ- to better overall response and higher survival benefit do not last. There can also be significant side effects, development of the next generation of immunothera- ation for Cancer Research congress, we discovered from immunotherapy, including two with prognostic which can limit the utility of immunotherapy. pies in oncology through the detection of neoantigens, proteomic signatures associated with immune-related value. immunopeptides that reflect tumor-specific muta- adverse events (irAEs) in people receiving PD-1 check- A deeper understanding of the underlying biology of tions. Immunopeptidome analysis can also be used for point inhibitors for non-small cell lung cancer (NSCLC). We also performed functional analysis, revealing a net- cancer and how this interacts with the immune system patient profiling, revealing more about the role of the work of five proteins involved in immune, inflammatory, and tissue microenvironment is essential to identify immune system in tumorigenesis and potential thera- We performed deep proteome profiling on plasma sam- vesicle transport, and acute phase related responses. new ways to improve the effectiveness and durability of peutic targets. Our immunopeptidome profiling pipeline ples from NSCLC patients before therapy and 8-weeks These insights could lead to new biomarkers to help immunotherapy. can reliably identify and quantify 10,000 MHC Class I after treatment initiation. We found 82 proteins asso- clinicians better predict and manage toxicity during and 10,000 Class II immunopeptides in just 15 mg of ciated with irAEs. We also identified 13 proteins that immunotherapy.20 tissue, making it suitable for high-throughput, large- were associated with low-grade toxicity, which is linked scale preclinical and clinical applications as well as smaller research studies. Immunopeptidome profiling in lung cancer We recently demonstrated the power of our immuno- • MMP11, an important remodeller of the cancer Fig 4. High Throughput Immunopeptidomics From Needle-size Biopsies. We measured a cohort of 12 cancerous and matched healthy lung peptidomics workflow in lung cancer, generating MHC microenvironment and potential therapeutic target biopsies, identifying 11,000 MHC Class I and 9,000 MHC Class II immunopeptides from as little as 15 mg tissue. immunopeptide profiles from needle biopsies of 12 lung in lung cancer cancer and matched healthy tissue samples.21 • CHEK, a cell cycle checkpoint kinase n = 12 • TNC, an extracellular membrane protein that is 2,000 On average, we were able to identify more than 11,000 upregulated during neovascularization Modified Peptides Class I and more than 9,000 Class II immunopeptides • SET, a proto-oncogene that is highly overexpressed from each sample. Around 3,000 of the identified Class in lung tumors I immunopeptides were upregulated in the lung cancer 0 2.5 5 10 15 45 135 samples, with significant enrichment of proteins related Healthy Cancerous 11,000 MHC 9,000 MHC Lung Tissue Lung Tissue 25 x 106 cells 10 – 15 mg Class I Class II Tissue Input (mg) to lung cancer development including: 8 / Proteomics for Precision Medicine, White Paper, May 2022 Proteomics for Precision Medicine, White Paper, May 2022 / 9
NOVEL INSIGHTS TO ACCELERATE References 1. Wong, C.H., Siah, K.W. and Lo, A.W. (2018) Corrigendum: Estimation of clinical trial success rates and related parameters. Biostatistics, YOUR ONCOLOGY RESEARCH 2. 20(2), pp.366–366. World Health Organization (2022) Cancer. Who.int. Available online at: https://www.who.int/news-room/fact-sheets/detail/cancer. [Accessed 9 March 2022] 3. Davis, C., Naci, H., Gurpinar, E., Poplavska, E., Pinto, A. and Aggarwal, A. (2017) Availability of evidence of benefits on overall survival and quality of life of cancer drugs approved by European Medicines Agency: retrospective cohort study of drug approvals 2009-13. BMJ, [online] p.j4530. Mass spectrometry proteomics is an essential part Our unbiased, proteome-wide approach offers unique 4. Kim, C. and Prasad, V. (2015) Cancer Drugs Approved on the Basis of a Surrogate End Point and Subsequent Overall Survival. JAMA Internal of the oncology drug development toolkit, from opportunities to discover and validate true first-in- Medicine, 175(12), p.1992. early quantification and mechanism of action studies class targets, widening and accelerating your oncology 5. Lin, A., Giuliano, C.J., Palladino, A., John, K.M., Abramowicz, C., Yuan, M.L., Sausville, E.L., Lukow, D.A., Liu, L., Chait, A.R., Galluzzo, Z.C., (TrueDiscoveryTM) through to studies of on- and off- pipeline. As the field advances further, the applications Tucker, C. and Sheltzer, J.M. (2019) Off-target toxicity is a common mechanism of action of cancer drugs undergoing clinical trials. Science target binding (TrueTargetTM) and developing biomarker and benefits of proteomics for oncology research will translational medicine, 11(509). panels for pharmacodynamic readouts and endpoint only continue to expand. 6. Buikhuisen, J.Y., Torang, A. and Medema, J.P. (2020) Exploring and modelling colon cancer inter-tumour heterogeneity: opportunities and evaluation in clinical trials (TrueSignatureTM). challenges. Oncogenesis, 9(7). At Biognosys, we make integrating proteomics into 7. Vowinckel, J., Corwin, T., Woodsmith, J., Treiber, T., Bruderer, R., Reiter, L., von Leitner, E.-C., Novy, K., Juhl, H. and Rinner, O. (2021) As the first global proteomics service provider to your research and development pipeline easy and Proteome and phospho-proteome profiling for deeper phenotype characterization of colorectal cancer heterogeneity. Journal of Clinical Oncology, 39(15_suppl), pp.e15536–e15536. be GLP certified for preclinical studies and GCP convenient. Our team of expert scientists offers advice compliant for clinical trials, we are the proteomics every step of the way, providing easy-to-understand 8. Piazza, I., Beaton, N., Bruderer, R., Knobloch, T., Barbisan, C., Chandat, L., Sudau, A., Siepe, I., Rinner, O., de Souza, N., Picotti, P. and Reiter, L. (2020) A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes. provider of choice for pharmaceutical companies and data reports that highlight key biological insights, Nature Communications, 11(1), p.4200. biotechnology companies across the world. de-risking and accelerating your journey from hit to lead 9. Hendricks, J.A., Beaton, N., Chernobrovkin, A., Miele, E., Hamza, G.M., Ricchiuto, P., Tomlinson, R.C., Friman, T., Borenstain, C., Barlaam, to clinical trial. B., Hande, S., Lamb, M.L., De Savi, C., Davies, R., Main, M., Hellner, J., Beeler, K., Feng, Y., Bruderer, R. and Reiter, L. (2021) Mechanistic We work with more than 800 customers worldwide, Insights into a CDK9 Inhibitor Via Orthogonal Proteomics Methods. ACS Chemical Biology, 17(1), pp.54–67. including 19 of the top 20 pharma companies, helping To find out what proteomics can do for you, get in 10. Tognetti, M., Sklodowski, K., Müller, S., Kamber, D., Muntel, J., Brudeer, R. and Reiter, L. (2021) Biomarker Candidates for Tumors them to apply cutting-edge proteomics across their touch today to speak with one of the experts at Identified from Deep-Profiled Plasma Stem Predominantly from the Low Abundant Area. bioRxiv 10.05.463153; doi: https://doi. org/10.1101/2021.10.05.463153 drug development pipeline and deliver life-changing biognosys.com. medicines to the patients who need them. 11. FDA (2019) Companion Diagnostics. Available online at: https://www.fda.gov/medical-devices/in-vitro-diagnostics/companion-diagnostics [Accessed 16 March 2022]. By integrating quantitative proteomics with other omics 12. Garon, E.B., Hellmann, M.D., Rizvi, N.A., Carcereny, E., Leighl, N.B., Ahn, M.-J., Eder, J.P., Balmanoukian, A.S., Aggarwal, C., Horn, L., Patnaik, A., Gubens, M., Ramalingam, S.S., Felip, E., Goldman, J.W., Scalzo, C., Jensen, E., Kush, D.A. and Hui, R. (2019) Five-Year Overall technologies at scale, we can offer you a newly detailed Survival for Patients With Advanced Non‒Small-Cell Lung Cancer Treated With Pembrolizumab: Results From the Phase I KEYNOTE-001 picture of cancer biology and unrivaled insights into Study. Journal of Clinical Oncology, 37(28), pp.2518–2527. how best to target the disease at every stage. 13. Wolchok, J.D., Chiarion-Sileni, V., Gonzalez, R., Grob, J.-J., Rutkowski, P., Lao, C.D., Cowey, C.L., Schadendorf, D., Wagstaff, J., Dummer, R., Ferrucci, P.F., Smylie, M., Butler, M.O., Hill, A.G., Marquez-Rodas, I., Haanen, J.B.A.G., Bas, T., van Dijck, W., Larkin, J. and Hodi, F.S. (2021). CheckMate 067: 6.5-year outcomes in patients (pts) with advanced melanoma. Journal of Clinical Oncology, 39(15_suppl), pp.9506– 9506. 14. Yang, F., Markovic, S.N., Molina, J.R., Halfdanarson, T.R., Pagliaro, L.C., Chintakuntlawar, A.V., Li, R., Wei, J., Wang, L., Liu, B., Nowakowski, G.S., Wang, M.L. and Wang, Y. (2020) Association of Sex, Age, and Eastern Cooperative Oncology Group Performance Status With Survival Benefit of Cancer Immunotherapy in Randomized Clinical Trials. JAMA Network Open, 3(8), p.e2012534. 15. Onoi, K., Chihara, Y., Uchino, J., Shimamoto, T., Morimoto, Y., Iwasaku, M., Kaneko, Y., Yamada, T., & Takayama, K. (2020) Immune Checkpoint Inhibitors for Lung Cancer Treatment: A Review. Journal of clinical medicine, 9(5), 1362. https://doi.org/10.3390/jcm9051362 16. Ramos-Casals, M., Brahmer, J.R., Callahan, M.K. et al Immune-related adverse events of checkpoint inhibitors. Nat Rev Dis Primers 6, 38 (2020). https://doi.org/10.1038/s41572-020-0160-6 17. Zhou, X., Yao, Z., Yang, H. et al Are immune-related adverse events associated with the efficacy of immune checkpoint inhibitors in patients with cancer? A systematic review and meta-analysis. BMC Med 18, 87 (2020). https://doi.org/10.1186/s12916-020-01549-2 18. American Cancer Society (2022) Survival Rates for Pancreatic Cancer. Available online at: https://www.cancer.org/content/dam/CRC/PDF/ Public/8780.00.pdf [Accessed 5 April 2022] 19. Maurer, D., Yu, J.X., Sklodowski, K., Tognetti, M., Reiter, L., Bruderer, R., Vowinckel, J., Pfeiffer, S., O’Hara, M., O’Reilly, E., Wolff, R., Wainberg, Z., Ko, A., Rahm, O., Fisher, G., Lyman, J., Cabanski, C., Gherardini, P.F., O’Donnell-Tormey, J. and LaVallee, T. (2021) 343 Multiomic biomarker signatures identify subsets of patients who may benefit from either nivolumab or sotigalimab in combination with chemotherapy in metastatic pancreatic cancer. Journal for ImmunoTherapy of Cancer, 9(Suppl 2), pp.A370–A370. 20. Sklodowski, K., Dozio, V., Poli, R., Lanzós, A., Lopez-Lastra, S., Beeler, K., and Romano, E. AACR 2021 Abstract #1615 https://www. abstractsonline.com/pp8/#!/9325/presentation/2716 21. Shapiro, I., Raess, L., Tognetti, M., Temu, T., Bernhardt, O., Feng, Y., Bruderer, R. and Reiter, L. AACR 2022 Abstract #1374/5 https://www.abstractsonline.com/pp8/#!/10517/presentation/13916 10 / Proteomics for Precision Medicine, White Paper, May 2022 Proteomics for Precision Medicine, White Paper, May 2022 / 11
KEY TAKEAWAYS • Oncology drug development fails due to poor understanding of the under- lying biology of cancer (wrong biology), insufficient target validation (wrong target), and a lack of effective biomarkers for patient stratification (wrong biomarkers). • There is an urgent need for new approaches to de-risk the oncology drug development pipeline and increase the likelihood of clinical trial success. • Next-generation proteomics can fill this gap by providing fresh insights into cancer biology at unprecedented scale and depth. • Biognosys provides unbiased proteome-wide profiling of cells, tissue, blood plasma, and other biofluids. Our proteomics technologies accelerate and val- idate each stage of the drug discovery and development pipeline: TrueDiscovery™ - Understand the right biology TrueTarget™ - Hit the right target TrueSignature™ - Develop the right biomarkers • Biognosys also provides large-scale immunopeptide profiling to support the development of next generation personalized immunotherapies. • Rapid advances, including integration with other omics technologies and clinical data, are rapidly making proteomics an indispensable tool in the drug development pipeline. At Biognosys, we believe that deep proteome insights hold the key to breakthrough discoveries that can dramatically improve human health. We enable life science researchers and drug hunters to look at the proteome from every angle with our versatile portfolio of proprietary next-generation proteomics services, software, and kits, including the TrueDiscovery™, TrueTarget™, and TrueSignature™ platforms and flagship software Spectronaut™. These solutions provide a multi-dimensional view of protein expression, function, and structure in all biological species and sample types. Biognosys’ unique, patented technologies utilize high-resolution mass spectrometry to quantify thousands of proteins across thousands of samples with industry-lead- ing precision, depth, and throughput. Through advanced data analytics, Biognosys translates data into actionable insights for R&D and clinical research. Contact us at services@biognosys.com to discuss your specific study needs with one of our scientific consultants. biognosys.com
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