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DrugComb SIGNED

Informatics approaches for the rational selection of personalized cancer drug combinations

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

DrugComb project word cloud

Explore the words cloud of the DrugComb project. It provides you a very rough idea of what is the project "DrugComb" about.

ovarian responsive entered personalized prevent subgroups combinations molecular rapid grand health clinical mathematical differentially patients mechanisms acquired emergence resistant care combination critically utilizing selectively screen signalling tools samples infer interactions drugs model validated platform limited options resistance networks synergy made prediction strategies pharmacological efficacy preclinical therapeutic predict clustering mapped doses trials screening hits individual data therapeutically underlying treatment selective cells block patient collaborators explore identification translated leukaemia network showed drug line cancer treat making profiling computational first inhibit chemotherapy

Project "DrugComb" data sheet

The following table provides information about the project.

Coordinator	HELSINGIN YLIOPISTO Organization address address: YLIOPISTONKATU 3 city: HELSINGIN YLIOPISTO postcode: 14 website: www.helsinki.fi contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Finland [FI]
Project website	https://drugcomb.fimm.fi/
Total cost	1˙500˙000 €
EC max contribution	1˙500˙000 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2016-STG
Funding Scheme	ERC-STG
Starting year	2017
Duration (year-month-day)	from 2017-06-01 to 2022-05-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	HELSINGIN YLIOPISTO HELSINGIN YLIOPISTO Organization address address: YLIOPISTONKATU 3 city: HELSINGIN YLIOPISTO postcode: 14 website: www.helsinki.fi contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FI (HELSINGIN YLIOPISTO)	coordinator	1˙500˙000.00

Map

Project objective

Making cancer treatment more personalized and effective is one of the grand challenges in our health care system. However, many drugs have entered clinical trials but so far showed limited efficacy or induced rapid development of resistance. We critically need multi-targeted drug combinations, which shall selectively inhibit the cancer cells and block the emergence of drug resistance. This project will develop mathematical and computational tools to identify drug combinations that can be used to provide personalized and more effective therapeutic strategies that may prevent acquired resistance. Utilizing molecular profiling and pharmacological screening data from patient-derived leukaemia and ovarian cancer samples, I will develop model-based clustering methods for identification of patient subgroups that are differentially responsive to first-line chemotherapy. For patients resistant to chemotherapy, I will develop network modelling approaches to predict the most potential drug combinations by understanding the underlying drug target interactions. The drug combination prediction will be made for each patient and will be validated using a preclinical drug testing platform on patient samples. I will explore the drug combination screen data to identify significant synergy at the therapeutically relevant doses. The drug combination hits will be mapped into signalling networks to infer their mechanisms. Drug combinations with selective efficacy in individual patient samples or in sample subgroups will be further translated into in treatment options by clinical collaborators. This will lead to novel and personalized strategies to treat cancer patients.

Publications

List of publications.
year	authors and title	journal	last update
2017	Ulla-Maija Haltia, Noora Andersson, Bhagwan Yadav, Anniina FÃ¤rkkilÃ¤, Evgeny Kulesskiy, Matti Kankainen, Jing Tang, Ralf BÃ¼tzow, Annika Riska, Arto Leminen, Markku Heikinheimo, Olli Kallioniemi, Leila Unkila-Kallio, Krister Wennerberg, Tero Aittokallio, Mikko Anttonen Systematic drug sensitivity testing reveals synergistic growth inhibition by dasatinib or mTOR inhibitors with paclitaxel in ovarian granulosa cell tumor cells published pages: 621-630, ISSN: 0090-8258, DOI: 10.1016/j.ygyno.2016.12.016	Gynecologic Oncology 144/3	2020-02-20
2017	Aleksandr Ianevski, Liye He, Tero Aittokallio, Jing Tang SynergyFinder: a web application for analyzing drug combination doseâ€“response matrix data published pages: 2413-2415, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/btx162	Bioinformatics 33/15	2020-02-20
2019	Michael P. Menden, Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan, Thomas Yu, Jaewoo Kang, Minji Jeon, Russ Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, In Sock Jang, Zara Ghazoui, Mehmet Eren Ahsen, Robert Vogel, Elias Chaibub Neto, Thea Norman, Eric K. Y. Tang, Mathew J. Garnett, Giovanni Y. Di Veroli, Stephen Fawell, Gustavo Stolovitzky, Justin Guinney, Jonathan R. Dry Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-09799-2	Nature Communications 10/1	2020-02-20
2018	E I Andersson, S PÃ¼tzer, B Yadav, O Dufva, S Khan, L He, L Sellner, A Schrader, G Crispatzu, M OleÅ›, H Zhang, S Adnan-Awad, S LagstrÃ¶m, D Bellanger, J P Mpindi, S Eldfors, T Pemovska, P Pietarinen, A Lauhio, K Tomska, C Cuesta-Mateos, E Faber, S Koschmieder, T H BrÃ¼mmendorf, S KytÃ¶lÃ¤, E-R Savolainen, T Siitonen, P Ellonen, O Kallioniemi, K Wennerberg, W Ding, M-H Stern, W Huber, S Anders, J Discovery of novel drug sensitivities in T-PLL by high-throughput ex vivo drug testing and mutation profiling published pages: 774-787, ISSN: 0887-6924, DOI: 10.1038/leu.2017.252	Leukemia 32/3	2020-02-20
2019	Alina Malyutina, Muntasir Mamun Majumder, Wenyu Wang, Alberto Pessia, Caroline A. Heckman, Jing Tang Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer published pages: e1006752, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1006752	PLOS Computational Biology 15/5	2019-09-04
2019	Bulat Zagidullin, Jehad Aldahdooh, Shuyu Zheng, Wenyu Wang, Yinyin Wang, Joseph Saad, Alina Malyutina, Mohieddin Jafari, Ziaurrehman Tanoli, Alberto Pessia, Jing Tang DrugComb: an integrative cancer drug combination data portal published pages: W43-W51, ISSN: 0305-1048, DOI: 10.1093/nar/gkz337	Nucleic Acids Research 47/W1	2019-09-04
2018	Jing Tang, Zia-ur-Rehman Tanoli, Balaguru Ravikumar, Zaid Alam, Anni Rebane, Markus VÃ¤hÃ¤-Koskela, Gopal Peddinti, Arjan J. van Adrichem, Janica Wakkinen, Alok Jaiswal, Ella Karjalainen, Prson Gautam, Liye He, Elina Parri, Suleiman Khan, Abhishekh Gupta, Mehreen Ali, Laxman Yetukuri, Anna-Lena Gustavsson, Brinton Seashore-Ludlow, Anne Hersey, Andrew R. Leach, John P. Overington, Gretchen Repasky, Krister Wennerberg, Tero Aittokallio Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions published pages: 224-229.e2, ISSN: 2451-9456, DOI: 10.1016/j.chembiol.2017.11.009	Cell Chemical Biology 25/2	2019-06-13
2017	Aleksandr Ianevski, Liye He, Tero Aittokallio, Jing Tang SynergyFinder: a web application for analyzing drug combination doseâ€“response matrix data published pages: 2413-2415, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/btx162	Bioinformatics 33/15	2019-06-13
2019	Emma Cazaly, Joseph Saad, Wenyu Wang, Caroline Heckman, Miina Ollikainen, Jing Tang Making Sense of the Epigenome Using Data Integration Approaches published pages: , ISSN: 1663-9812, DOI: 10.3389/fphar.2019.00126	Frontiers in Pharmacology 10	2019-05-28
2018	Liye He, Jing Tang, Emma I. Andersson, Sanna Timonen, Steffen Koschmieder, Krister Wennerberg, Satu Mustjoki, Tero Aittokallio Patient-Customized Drug Combination Prediction and Testing for T-cell Prolymphocytic Leukemia Patients published pages: 2407-2418, ISSN: 0008-5472, DOI: 10.1158/0008-5472.can-17-3644	Cancer Research 78/9	2019-05-28

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The information about "DRUGCOMB" are provided by the European Opendata Portal: CORDIS opendata.