A mathematical approach predicting the number of events in different tumors

被引:2
|
作者
Rieker, Ralf J. [1 ]
Hoegel, Josef [2 ]
Kern, Michael A. [1 ]
Steger, Christina [3 ]
Aulmann, Sebastian
Mechtersheimer, Gunhild [1 ]
Schirmacher, Peter [1 ]
Blaeker, Hendrik [1 ]
机构
[1] Univ Heidelberg, Univ Hosp, Dept Pathol, D-69120 Heidelberg, Germany
[2] Univ Ulm, Dept Human Genet, Ulm, Germany
[3] Med Univ Innsbruck, Dept Pathol, Innsbruck, Austria
关键词
incidence rates; mutations; Poisson distribution; probabilities; tumorigenesis;
D O I
10.1007/s12253-008-9050-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Supported by different investigations, multi-step models for tumorigenesis have been proposed for epithelial tumors. The age specific incidence of some cancers shows an exponential rise with increasing patient age. Yet, the onset and the slope of incidence curves varies between tumor types. One simple explanation for this disparity is that the number of mutations required for transformation differs in various tissues. We used a homogeneous Poisson process to estimate the number of events (N) and the intensity or event rate (1) that might be needed for cancer development in various tissues (colon, prostate, oralpharynx, larynx). Estimations were performed, including 95% confidence intervals, for the male and female population. The expected number of events needed was higher in adenocarcinomas (colorectal carcinoma: N approximate to 10 for females and N approximate to 11.0 for males; prostatic cancer: N approximate to 23) than in squamous cell carcinomas (oropharynx: N approximate to 5-6 for females and N approximate to 6 for males; larynx: N approximate to 7 for females and N approximate to 8 males). Still, alternative models fixing N to values within the 95% confidence intervals determined, showed good coincidence with epidemiological data. Although the herein applied mathematical model neglects several biologic conditions, especially a presumed acceleration of mutation rates after tumor initiation it offers a plausible theory for the given epidemiologic data and matches with molecular biologic findings in the investigated cancers.
引用
收藏
页码:199 / 204
页数:6
相关论文
共 50 条
  • [1] Predicting the Number of Future Events
    Tian, Qinglong
    Meng, Fanqi
    Nordman, Daniel J.
    Meeker, William Q.
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2022, 117 (539) : 1296 - 1310
  • [3] An accurate mathematical model predicting number of dengue cases in tropics
    Edussuriya, Chathurangi
    Deegalla, Sampath
    Gawarammana, Indika
    PLOS NEGLECTED TROPICAL DISEASES, 2021, 15 (11):
  • [4] THE MATHEMATICAL RELATIONSHIP BETWEEN THE NUMBER OF EVENTS IN WHICH PEOPLE ARE INJURED AND THE NUMBER OF PEOPLE INJURED
    UITENBROEK, DG
    BRITISH JOURNAL OF SPORTS MEDICINE, 1995, 29 (02) : 126 - 128
  • [5] A mathematical framework for predicting oxygen transport and vessel remodeling in tumors
    Munn, Lance L.
    Kamoun, Walid
    Tyrrell, James Alex
    FASEB JOURNAL, 2010, 24
  • [6] Predicting Mathematical Achievement and Mathematical Learning Disability With a Simple Screening Tool The Number Sets Test
    Geary, David C.
    Bailey, Drew H.
    Hoard, Mary K.
    JOURNAL OF PSYCHOEDUCATIONAL ASSESSMENT, 2009, 27 (03) : 265 - 279
  • [7] A Mathematical Programming Formulation Approach to the Number of POLCA Cards
    Luan Shi-chao
    Jia Guo-zhu
    Kong Wen
    2012 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, 2012, : 218 - 222
  • [8] Predicting cocaine consumption in Spain: A mathematical modelling approach
    Sanchez, Emilio
    Villanueva, Rafael-Jacinto
    Santonja, Francisco-Jose
    Rubio, Maria
    DRUGS-EDUCATION PREVENTION AND POLICY, 2011, 18 (02) : 108 - 115
  • [9] Copy number gains in EGFR and copy number losses in PTEN are common events in osteosarcoma tumors
    Freeman, Serena S.
    Allen, Steven W.
    Ganti, Ramapriya
    Wu, Jianrong
    Ma, Jing
    Su, Xiaoping
    Neale, Geoff
    Dome, Jeffrey S.
    Daw, Najat C.
    Khoury, Joseph D.
    CANCER, 2008, 113 (06) : 1453 - 1461
  • [10] A Simple Model for Predicting the Number and Duration of Rebuffering Events for YouTube Flows
    Ameigeiras, Pablo
    Azcona-Rivas, Alba
    Navarro-Ortiz, Jorge
    Ramos-Munoz, Juan J.
    Lopez-Soler, Juan M.
    IEEE COMMUNICATIONS LETTERS, 2012, 16 (02) : 278 - 280