--- title: "New stochastic and state space model of human colon cancer. | Sutter Health" description: "Purpose is to develop a new stochastic and state space model for carcinogenesis of human colon cancer incorporating two biological mechanisms." url: "https://www.sutterhealth.org/research/publications/new-stochastic-and-state-space-model-of-human-colon-cancer-1055312781" --- 1. [Home](https://www.sutterhealth.org/) / 2. [Research](https://www.sutterhealth.org/research) / 3. [Research publications](https://www.sutterhealth.org/research/publications) / 4. New stochastic and state space model of human colon cancer. # A new stochastic and state space model of human colon cancer incorporating multiple pathways. Tan WY & Yan XW. _Biol Direct. 5:26. doi: 10.1186/1745-6150-5-26._ 2010-04-20 ## Abstract BACKGROUND AND PURPOSE: Studies by molecular biologists and geneticists have shown that tumors of human colon cancer are developed from colon stem cells through two mechanisms: The chromosomal instability and the micro-satellite instability. The purpose of this paper is therefore to develop a new stochastic and state space model for carcinogenesis of human colon cancer incorporating these biological mechanisms. RESULTS: Based on recent biological studies, in this paper we have developed a state space model for human colon cancer. In this state space model, the stochastic system is represented by a stochastic model, involving 2 different pathways-the chromosomal instability pathway and the micro-satellite instability pathway; the observation, cancer incidence data, is represented by a statistical model. Based on this model we have developed a generalized Bayesian approach to estimate the parameters through the posterior modes of the parameters via Gibbs sampling procedures. We have applied this model to fit and analyze the SEER data of human colon cancers from NCI/NIH. CONCLUSIONS: Our results indicate that the model not only provides a logical avenue to incorporate biological information but also fits the data much better than other models including the 4-stage single pathway model. This model not only would provide more insights into human colon cancer but also would provide useful guidance for its prevention and control and for prediction of future cancer cases. [PubMed abstract](https://www.ncbi.nlm.nih.gov/pubmed/20406446) ![Xiaowei (Sherry) Yan, Ph.D.](https://dyn.mktgcdn.com/p/NTWox_hkmxIRiqJEc5PXKeBkfR_WMtpSQbEI4J69Xls/fit=crop,gravity=auto,dpr=2,width=188,height=250,quality=100) Xiaowei (Sherry) Yan, Ph.D. Principal investigator [View profile](https://www.sutterhealth.org/research/investigators/xiaowei-sherry-yan-phd-1049681042) ## Research topics - [All Cancer](https://www.sutterhealth.org/research-search-results?query=%22%5C%22All+Cancer%5C%22%22) - [Colorectal Cancer](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Colorectal+Cancer%5C%22%22) ## Related publications [View all publications](https://www.sutterhealth.org/research-search-results?verticalKey=research_publication) - Publication ### [Implementing universal Lynch syndrome screening (IMPULSS): protocol for a multi-site study to identify strategies to implement, adapt, and sustain genomic medicine programs in different organizational contexts.](https://www.sutterhealth.org/research/publications/implementing-universal-lynch-syndrome-screening-impulss-1055312375) Rahm AK, Cragun D, Hunter JE, Epstein MM, Lowery J, Lu CY, Pawloski PA, Sharaf RN, Liang SY, Burnett-Hartman AN, Gudgeon JM, Hao J, Snyder S, Gogoi R, Ladd I, Williams MS. 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Epub 2010 Oct 4. 2011 May 01 - Publication ### [Oxalate transport in cultured porcine renal epithelial cells.](https://www.sutterhealth.org/research/publications/oxalate-transport-in-cultured-porcine-renal-epithe-1055312722) T R Wandzilak 1, L Calo, S D'Andre, A Borsatti, H E Williams T R Wandzilak 1 L Calo S D'Andre A Borsatti H E Williams 1992 Jul 20 - Publication ### [Phase II trial of sequential therapy with fludarabine followed by cyclophosphamide, mitoxantrone, vincristine, and prednisone for low-grade follicular lymphomas.](https://www.sutterhealth.org/research/publications/phase-ii-trial-of-sequential-therapy-1055312593) Am J Hematol. 2002 Jul;70(3):181-5. Phase II trial of sequential therapy with fludarabine followed by cyclophosphamide, mitoxantrone, vincristine, and prednisone for low-grade follicular lymphomas. Rohatgi N1, LaRocca RV, Bard V, Sethuraman G, Foon KA. Am J Hematol. 2002 Jul;70(3):181-5. 2002 Jul 20 - Publication ### [5-Fluorouracil-based chemotherapy for advanced colorectal cancer in elderly patients: a north central cancer treatment group study.](https://www.sutterhealth.org/research/publications/5-fluorouracil-based-chemotherapy-for-advanced-col-1055312549) Clin Colorectal Cancer. 2005 Jan;4(5):325-31. 5-Fluorouracil-based chemotherapy for advanced colorectal cancer in elderly patients: a north central cancer treatment group study. D'Andre S1, Sargent DJ, Cha SS, Buroker TR, Kugler JW, Goldberg RM, O'Connell MJ, Poon MA. Clin Colorectal Cancer. 2005 2005 Jan 20 [View all publications](https://www.sutterhealth.org/research-search-results?verticalKey=research_publication) ```json {"@context":"https://schema.org","@type":"MedicalOrganization","name":"Sutter Health","@id":"https://www.sutterhealth.org/#medicalorganization","url":"https://www.sutterhealth.org","logo":"https://www.sutterhealth.org/static/images/sutter-health-logo.svg","address":{"@type":"PostalAddress","streetAddress":"2200 River Plaza Drive","addressLocality":"Sacramento","addressRegion":"CA","postalCode":"95833","addressCountry":"US"},"areaServed":{"@type":"AdministrativeArea","name":"California"},"sameAs":["https://www.facebook.com/SutterHealth","https://www.instagram.com/sutterhealth/","https://x.com/SutterHealth","https://www.youtube.com/sutterhealth","https://www.linkedin.com/company/sutter-health","https://en.wikipedia.org/wiki/Sutter_Health"]} ``` ```json {"@context":"https://schema.org","@type":"BreadcrumbList","@id":"https://www.sutterhealth.org/research/publications/new-stochastic-and-state-space-model-of-human-colon-cancer-1055312781#breadcrumblist","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.sutterhealth.org/"},{"@type":"ListItem","position":2,"name":"Research","item":"https://www.sutterhealth.org/research"},{"@type":"ListItem","position":3,"name":"Research publications","item":"https://www.sutterhealth.org/research/publications"},{"@type":"ListItem","position":4,"name":"New stochastic and state space model of human colon cancer."}]} ``` ```json {"@context":"https://schema.org","@type":"MedicalScholarlyArticle","@id":"https://www.sutterhealth.org/research/publications/new-stochastic-and-state-space-model-of-human-colon-cancer-1055312781#medicalscholarlyarticle","name":"A new stochastic and state space model of human colon cancer incorporating multiple pathways.","headline":"New stochastic and state space model of human colon cancer.","abstract":"BACKGROUND AND PURPOSE: Studies by molecular biologists and geneticists have shown that tumors of human colon cancer are developed from colon stem cells through two mechanisms: The chromosomal instability and the micro-satellite instability. The purpose of this paper is therefore to develop a new stochastic and state space model for carcinogenesis of human colon cancer incorporating these biological mechanisms. RESULTS: Based on recent biological studies, in this paper we have developed a state space model for human colon cancer. In this state space model, the stochastic system is represented by a stochastic model, involving 2 different pathways-the chromosomal instability pathway and the micro-satellite instability pathway; the observation, cancer incidence data, is represented by a statistical model. Based on this model we have developed a generalized Bayesian approach to estimate the parameters through the posterior modes of the parameters via Gibbs sampling procedures. We have applied this model to fit and analyze the SEER data of human colon cancers from NCI/NIH. CONCLUSIONS: Our results indicate that the model not only provides a logical avenue to incorporate biological information but also fits the data much better than other models including the 4-stage single pathway model. 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