[물리천문학과 콜로퀴움] Cooperation and defection of cancer cells in the lens of evolutionary dynamics

  • 전체 학생/대학원생
  • 전체 학년/전체 성별
  • 전체 학과
  • phydpt@sejong.ac.kr
  • 02-3408-3316
  • 영실관 601호
전문가 초청 특강을 통한 물리학 및 천문학의 다양한 지식의 습득과 학부생들과 대학원생들의 자발적이고 활발한 질의응답시간을 기대합니다.
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물리천문학과 콜로퀴움


‧강연 제목 :  Cooperation and defection of cancer cells in the lens of evolutionary dynamics

‧연사 : 최지범 박사

‧일시 : 2024년 9월 25일 (수요일) 17:00~18:30

‧진행 방법 : 영실관 601호

‧신청 가능 대상 : 세종대학교 재학생 누구나

‧신청기간 : 9월 19일 ~ 9월 25일


‧강의 초록

Cancer cells are highly cooperative in a nepotistic way and evolutionarily dynamic. Present cancer treatments often overlook these aspects, inducing the selection of resistant cancer cells and the corresponding relapse. As an alternative method of cancer elimination, autologous cell defection (ACD) was suggested by which modified cancer cells parasitically reliant on other cancer cells are implemented to the cancer cluster. Specifically, modified cancer cells should not produce costly growth factors that promote the growth of other cancer cells while receiving the benefit of exposure to such growth factors. Analytical models and rudimentary experiments up to date provide the medical feasibility of this method. In this study, I built comprehensive spatial simulation models by embracing the effects of the multiple growth factors, the Warburg effect, mutations and immunity. The simulation results based on planar spatial structures indicate that implementation of the defective modified tumours may replace the existing cancer cluster and defective cells would later collapse by themselves. Furthermore, I built a mathematical model that compares the fitness of the cells adjacent to the hypertumour–cancer interface. I also calculated whether anticancer drugs that reduce the effects of the growth factors promote or demote the utility of ACD under diverse fitness functions. The computational examination implies that anticancer drugs may impede the therapeutic effect of ACD when there is a strong concavity in the fitness function. The analysis results could work as a general guidance for effective ACD that may expand the paradigm of cancer treatment.

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