TY - JOUR
T1 - Charting New Paths in Cancer Research
T2 - Insights from the Frontiers in Cancer Science Conference 2024
AU - Le Minh, Giang
AU - Lucky, Sasidharan Swarnalatha
AU - Pervaiz, Shazib
AU - Ramadan, Kristijan
AU - Yeong, Joe
AU - Ong, Sin Tiong
AU - Krishnan, Vaidehi
AU - Cheok, Chit Fang
AU - Chng, Wee Joo
AU - De Mel, Sanjay
AU - Wang, Xiaomeng
AU - Jeyasekharan, Anand D.
AU - Tipgomut, Chartsiam
AU - Kong, Li Ren
AU - Sabapathy, Kanaga
AU - Chee, Cheng Ean
AU - Itahana, Koji
AU - Taneja, Reshma
AU - Lee, Soo Chin
N1 - Publisher Copyright:
©2025 American Association for Cancer Research.
PY - 2025/8/1
Y1 - 2025/8/1
N2 - The 16th annual Frontiers in Cancer Science conference con- tumor heterogeneity and identify novel therapeutic targets. Advened leading experts to discuss the latest developments in cancer ditionally, the transformative potential of artificial intelligence research. Key research themes included mechanisms of treatment and machine learning was explored in optimizing therapy selecresistance and innovative strategies to target resistant cancer cells, tion, refining prognostication models, and improving patient metabolic plasticity and its therapeutic vulnerabilities, modula- outcomes, with a focus on advancing personalized, cost-effective tion of the tumor microenvironment to enhance therapeutic ef- cancer care. These collective insights underscore the rapid ficacy, recent advances in immunotherapies and engineered progress in the field and the potential for translating these dis-immune cells, and strategies to overcome tumor immune evasion. coveries into effective clinical interventions, marking a significant The conference also highlighted the development of advanced step toward addressing the complexities of cancer biology and spatial transcriptomic technologies as a powerful tool to decipher enhancing patient care worldwide.
AB - The 16th annual Frontiers in Cancer Science conference con- tumor heterogeneity and identify novel therapeutic targets. Advened leading experts to discuss the latest developments in cancer ditionally, the transformative potential of artificial intelligence research. Key research themes included mechanisms of treatment and machine learning was explored in optimizing therapy selecresistance and innovative strategies to target resistant cancer cells, tion, refining prognostication models, and improving patient metabolic plasticity and its therapeutic vulnerabilities, modula- outcomes, with a focus on advancing personalized, cost-effective tion of the tumor microenvironment to enhance therapeutic ef- cancer care. These collective insights underscore the rapid ficacy, recent advances in immunotherapies and engineered progress in the field and the potential for translating these dis-immune cells, and strategies to overcome tumor immune evasion. coveries into effective clinical interventions, marking a significant The conference also highlighted the development of advanced step toward addressing the complexities of cancer biology and spatial transcriptomic technologies as a powerful tool to decipher enhancing patient care worldwide.
UR - http://www.scopus.com/inward/record.url?scp=105012774165&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105012774165&partnerID=8YFLogxK
U2 - 10.1158/0008-5472.CAN-25-2205
DO - 10.1158/0008-5472.CAN-25-2205
M3 - Review article
C2 - 40746070
AN - SCOPUS:105012774165
SN - 0008-5472
VL - 85
SP - 2784
EP - 2787
JO - Cancer Research
JF - Cancer Research
IS - 15
ER -
