نوع مقاله: مقاله کامل پژوهشی

نویسندگان

1 استادیار، گروه بیوالکتریک، دانشکده مهندسی برق، دانشگاه علم و صنعت ایران، تهران

2 دانشجوی دکتری مهندسی پزشکی، گروه بیوالکتریک ، دانشکده مهندسی برق، دانشگاه علم و صنعت ایران، تهران

10.22041/ijbme.2017.70563.1255

چکیده

در این مقاله، روشی جدید برای کاهش سرعت رشد تومور بدون رگ پیشنهاد می­شود. این یافته می­تواند به برنامه‌ریزی درمان و افزایش طول عمر بیماران سرطانی کمک کند. روش پیشنهادی، براساس مدلی بر‌پایة عامل برای رشد تومور بدون رگ است.  در این تحقیق، پدیدة فراخوانی سلول­های ایمنی که به‌طور معمول پس از شناسایی سلول‌های توموری انجام می‌شود، در مدل درنظرگرفته شده است. پارامترهای مدل با استفاده از نتایج تجربی و آزمایشگاهی   in vivo، به‌طور سازگار با بیولوژی سرطان تنظیم می­شوند. نتایج نشان می­دهند که مدل پیشنهادی می­تواند پدیدة رشد تومور بدون رگ را به‌طور کیفی و کمی شبیه‌سازی کند و همچنین ایده­ا­­ی نو برای کند کردن فرآیند رشد تومور پیشنهاد می­کند. بر‌اساس این ایده­ و با در‌نظر گرفتن دو نوع سلول سرطانی تکثیر‌شونده ، با افزایش وابستگی احتمال تـکثیر سلول­های تـوموری بـه شرایـط محیـطی، رشد توموری کند­تر خـواهد شد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

A New Method for Slowing Down Avascular Tumor Growth

نویسندگان [English]

  • Seyed Hojat Sabzpoushan 1
  • Fateme Pourhasanzade 2

1 Assistant Professor, Biomedical Engineering Department, Research Laboratory of Biomedical Signals and Sensors, Iran University of Sciences and Technology (I.U.S.T), Tehran, Iran

2 Ph.D Candidate, Biomedical Engineering Department, Research Laboratory of Biomedical Signals and Sensors, Iran University of Sciences and Technology (I.U.S.T), Tehran, Iran

چکیده [English]

In this paper, a new method is proposed for slowing down avascular tumor growth. Our method is established on an agent based avascular tumor growth model (ABM). The model is based on biological assumptions with regard to the immune system interactions. The model parameters are fitted in compatability with cancer biology using in vivo expremental data. The immune cells recruitment, which usually occur after that tumor cells are identified, are also considered in ABM model. The results show that the proposed model not only is able to simulate the tumor growth graphically, but also the in vivo tumor growth quantitatively and qualitatively. Besides, the model proposes a new idea for slowing down the tumor growth considering two types of prolaiferative tumor cells, i.e. the tumor will grow slowly if the division probability of the proliferative tumor cells depends on the microenvironmental conditions. The proposed idea has been validated using an in silico simulation.  

کلیدواژه‌ها [English]

  • Tumor growth
  • Agent Based Models (ABM)
  • Immune system
  • Division of Proliferative Cell

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