Our laboratory uses functional genomic tools to study cancer-relevant pathways and to guide cancer therapy. We aim to identify novel genes and networks that modulate response to cancer drugs and to uncover genetic dependencies in cancer that can be exploited therapeutically.
Overcoming drug resistance to cancer therapeutics:
Drug resistance remains a major clinical challenge for cancer therapy. Thus, a better understanding of resistance mechanisms is essential to enable the rational development of effective treatments. Using unbiased functional genetic screens, we aim to uncover novel genes and network interactions that modulate responses to cancer therapeutics and to help devise treatment strategies to overcome drug resistance.
Targeting hard-to-treat cancer driver mutations
Genotype-directed cancer therapeutics often target gain-of-function oncogenic mutations in cancer cells and thus have less side effects in normal tissue. However, some cancer driver mutations such as inactivation of tumour suppressors are not directly actionable. In this context, we use synthetic lethal approaches to uncover vulnerabilities of hard-to-treat cancer driver mutations that can be exploited therapeutically.
Giulio Aceto Étudiant.e au doctorat PhD Student
Azadeh Arabzadeh Associé.e de recherche Research Associate / MPCP Platform Manager
Zheng Fu Étudiant.e au doctorat PhD Student
Andy Garnier Étudiant.e à la maîtrise MSc Student
Hannah Hosein Étudiant.e à la maîtrise MSc Student
Jialin (Paco) Jiang Assistant.e de recherche Research Assistant (previously MSc Student)
Minyan Liao Maîtrise en sciences MSc Student
Kexin (Judy) Liu Étudiant.e de premier cycle Undergraduate Student
Racim Sansal Étudiant.e de premier cycle (Étudiant.e à la maîtrise en Septembre 2023) BSc (MSc Student as of Sept 2023)
Jutta Steinberger Associé.e de recherche Research Associate/ MPCP Platform Manager
Xianbing Zhu Étudiant.e au doctorat PhD Student 3655 Promenade Sir William Osler
Montreal, Quebec H3G 1Y6
Office: 800C
Lab: 800
T. 514-398-4447
T. 514-398-5446
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