Is Tumor Growth Influenced by the Bone Remodeling Process?

被引:0
作者
Sanchez, Juan Felipe [1 ]
Ramtani, Salah [2 ]
Boucetta, Abdelkader [2 ]
Velasco, Marco Antonio [3 ]
Vaca-Gonzalez, Juan Jairo [4 ]
Duque-Daza, Carlos A. [1 ]
Garzon-Alvarado, Diego A. [1 ]
机构
[1] Univ Nacl Colombia, Biotechnol Inst, Carrera 30 45A-03,Ed 407,Of 204, Bogota 16486, Colombia
[2] Univ Sorbonne Paris Nord, Equipe LBPS, Lab CSPBAT, CNRS UMR 7244, Villetaneuse, France
[3] Univ Distrital Francisco Jose de Caldas, Bogota, Colombia
[4] Univ Nacl Colombia, Escuela Pregrad, Direcc Acad, La Paz, Colombia
关键词
bone remodeling; tumor; coupling tumor-bone; Komarovar's model; osteoclasts; osteoblasts; HORMONE-RELATED PROTEIN; BREAST-CANCER; PROSTATE-CANCER; SKELETAL METASTASES; MATHEMATICAL-MODEL; RECEPTOR ACTIVATOR; CLINICAL-FEATURES; TGF-BETA; THERAPY; MECHANISMS;
D O I
10.1089/cmb.2023.0390
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In this study, we develop a comprehensive model to investigate the intricate relationship between the bone remodeling process, tumor growth, and bone diseases such as multiple myeloma. By analyzing different scenarios within the Basic Multicellular Unit, we uncover the dynamic interplay between remodeling and tumor progression. The model developed developed in the paper are based on the well accepted Komarova's and Ayati's models for the bone remodeling process, then these models were modified to include the effects of the tumor growth. Our in silico experiments yield results consistent with existing literature, providing valuable insights into the complex dynamics at play. This research aims to improve the clinical management of bone diseases and metastasis, paving the way for targeted interventions and personalized treatment strategies to enhance the quality of life for affected individuals.
引用
收藏
页码:104 / 124
页数:21
相关论文
共 89 条
  • [1] Abd Rahman N., 2017, APOPTOSIS CELL CYCLE
  • [2] Bone Metastasis Pain, from the Bench to the Bedside
    Aielli, Federica
    Ponzetti, Marco
    Rucci, Nadia
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (02)
  • [3] Amat Villegas I., 2009, GASTROENT HEPAT-BARC, V32, P324
  • [4] Arias Moreno AJ, 2011, THESIS
  • [5] Integration of Diffusion-Weighted MRI Data and a Simple Mathematical Model to Predict Breast Tumor Cellularity During Neoadjuvant Chemotherapy
    Atuegwu, Nkiruka C.
    Arlinghaus, Lori R.
    Li, Xia
    BrianWelch, E.
    Chakravarthy, Bapsi A.
    Gore, John C.
    Yankeelov, Thomas E.
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2011, 66 (06) : 1689 - 1696
  • [6] A mathematical model of bone remodeling dynamics for normal bone cell populations and myeloma bone disease
    Ayati, Bruce P.
    Edwards, Claire M.
    Webb, Glenn F.
    Wikswo, John P.
    [J]. BIOLOGY DIRECT, 2010, 5
  • [7] Computational oncology - mathematical modelling of drug regimens for precision medicine
    Barbolosi, Dominique
    Ciccolini, Joseph
    Lacarelle, Bruno
    Barlesi, Fabrice
    Andre, Nicolas
    [J]. NATURE REVIEWS CLINICAL ONCOLOGY, 2016, 13 (04) : 242 - 254
  • [8] Bartl R., 2017, CONTROL REGULATION B, P31
  • [9] Adaptive Mathematical Model of Tumor Response to Radiotherapy Based on CBCT Data
    Belfatto, A.
    Riboldi, M.
    Ciardo, D.
    Cecconi, A.
    Lazzari, R.
    Jereczek-Fossa, B. A.
    Orecchia, R.
    Baroni, G.
    Cerveri, P.
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2016, 20 (03) : 802 - 809
  • [10] Population pharmacokinetic-pharmacodynamic modelling in oncology: a tool for predicting clinical response
    Bender, Brendan C.
    Schindler, Emilie
    Friberg, Lena E.
    [J]. BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2015, 79 (01) : 56 - 71