BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Genomic and digital pathology approaches to elucidate cancer dorma
 ncy - Maria Secrier\, UCL Genetics Institute
DTSTART:20220131T140000Z
DTEND:20220131T150000Z
UID:TALK166936@talks.cam.ac.uk
CONTACT:Kate Davenport
DESCRIPTION:Therapy resistance in cancer is often driven by a subpopulatio
 n of cells that are temporarily arrested in a non-proliferative\, quiescen
 t or ‘dormant’ state\, which is difficult to capture and whose mutatio
 nal drivers remain largely unknown. I will describe the methodology that w
 e developed to uniquely and robustly identify this state from transcriptom
 ic signals and characterised its prevalence and genomic constraints in sol
 id primary tumours. We show dormancy preferentially emerges in the context
  of more stable\, less mutated genomes which maintain TP53 integrity and l
 ack the hallmarks of DNA damage repair deficiency\, while presenting incre
 ased APOBEC mutagenesis. We employ an ensemble elastic net regression mode
 l to uncover novel genomic dependencies of this process\, including the am
 plification of a centrosomal protein as a driver of dormancy impairment. W
 e also further refine our methodology to quantify dormancy signals in sing
 le cell datasets and link it with resistance to various therapies. Finally
 \, we employ deep learning and graph-based approaches on digital pathology
  slides to show tumour dormancy is detectable within the cancer tissue\, a
 nd describe its broader spatial distribution and interactions with other c
 ells in the microenvironment.\n\n*External visitors to the CRUK CI please 
 register using this link to attend in person: https://www.eventbrite.co.uk
 /e/seminars-on-quantitative-biology-cruk-ci-dr-maria-secrier-ucl-tickets-2
 51117026787*\n\n
LOCATION:CRUK CI Lecture Theatre
END:VEVENT
END:VCALENDAR