A new approach for estimating probability of metastasis at diagnosis

Shuhao Sun; Fima Klebaner; Tianhai Tian

doi:10.1109/BIBM.2015.7359762

A new approach for estimating probability of metastasis at diagnosis

Shuhao Sun, Fima Klebaner, Tianhai Tian

School of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

Metastasis is responsible for 90% of cancer deaths from solid tumors. Although it is well known that metastasis is the result of a series of biological hurdles, it is still a challenge to calculate the probability of metastasis at diagnosis. Recently a new method has been developed based on metastasis formation to investigate the progression of pancreatic cancer. However, the exact solution of this model was difficult to find and hence there is an issue regarding the prediction accuracy of this model. To remedy it, we present in this work an alternative formula which can be easily solved by employing a simple programming and our value is consistent with those predicted by the published model.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine
Editors	Jun (Luke) Huan, Satoru Miyano, Amarda Shehu, Xiaohua Hu, Bin Ma, Sanguthevar Rajasekaran, Vijay K Gombar, Ing Matthieu, Illhoi Yoo, Jiayu Zhou, Brian Chen, Vinay Pai, Brian Pierce
Place of Publication	New York NY USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	653-656
Number of pages	4
ISBN (Print)	9781467367981
DOIs	https://doi.org/10.1109/BIBM.2015.7359762
Publication status	Published - 2015
Event	IEEE International Conference on Bioinformatics and Biomedicine 2015 - Washington, United States of America Duration: 9 Nov 2015 → 12 Nov 2015 https://cci.drexel.edu/ieeebibm/bibm2015/ https://ieeexplore.ieee.org/xpl/conhome/7350074/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Bioinformatics and Biomedicine 2015
Abbreviated title	BIBM 2015
Country/Territory	United States of America
City	Washington
Period	9/11/15 → 12/11/15
Internet address	https://cci.drexel.edu/ieeebibm/bibm2015/ https://ieeexplore.ieee.org/xpl/conhome/7350074/proceeding (Proceedings)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/BIBM.2015.7359762

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Sun, S., Klebaner, F., & Tian, T. (2015). A new approach for estimating probability of metastasis at diagnosis. In J. Huan, S. Miyano, A. Shehu, X. Hu, B. Ma, S. Rajasekaran, V. K. Gombar, I. Matthieu, I. Yoo, J. Zhou, B. Chen, V. Pai, & B. Pierce (Eds.), Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine (pp. 653-656). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BIBM.2015.7359762

Sun, Shuhao ; Klebaner, Fima ; Tian, Tianhai. / A new approach for estimating probability of metastasis at diagnosis. Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine. editor / Jun (Luke) Huan ; Satoru Miyano ; Amarda Shehu ; Xiaohua Hu ; Bin Ma ; Sanguthevar Rajasekaran ; Vijay K Gombar ; Ing Matthieu ; Illhoi Yoo ; Jiayu Zhou ; Brian Chen ; Vinay Pai ; Brian Pierce. New York NY USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 653-656

@inproceedings{999bd91fdccb439db488693fe4d34969,

title = "A new approach for estimating probability of metastasis at diagnosis",

abstract = "Metastasis is responsible for 90% of cancer deaths from solid tumors. Although it is well known that metastasis is the result of a series of biological hurdles, it is still a challenge to calculate the probability of metastasis at diagnosis. Recently a new method has been developed based on metastasis formation to investigate the progression of pancreatic cancer. However, the exact solution of this model was difficult to find and hence there is an issue regarding the prediction accuracy of this model. To remedy it, we present in this work an alternative formula which can be easily solved by employing a simple programming and our value is consistent with those predicted by the published model.",

author = "Shuhao Sun and Fima Klebaner and Tianhai Tian",

year = "2015",

doi = "10.1109/BIBM.2015.7359762",

language = "English",

isbn = "9781467367981",

pages = "653--656",

editor = "Huan, {Jun (Luke)} and Satoru Miyano and Amarda Shehu and Xiaohua Hu and Bin Ma and Sanguthevar Rajasekaran and Gombar, {Vijay K} and Ing Matthieu and Illhoi Yoo and Jiayu Zhou and Brian Chen and Vinay Pai and Brian Pierce",

booktitle = "Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on Bioinformatics and Biomedicine 2015, BIBM 2015 ; Conference date: 09-11-2015 Through 12-11-2015",

url = "https://cci.drexel.edu/ieeebibm/bibm2015/, https://ieeexplore.ieee.org/xpl/conhome/7350074/proceeding",

}

Sun, S, Klebaner, F & Tian, T 2015, A new approach for estimating probability of metastasis at diagnosis. in J Huan, S Miyano, A Shehu, X Hu, B Ma, S Rajasekaran, VK Gombar, I Matthieu, I Yoo, J Zhou, B Chen, V Pai & B Pierce (eds), Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine. IEEE, Institute of Electrical and Electronics Engineers, New York NY USA, pp. 653-656, IEEE International Conference on Bioinformatics and Biomedicine 2015, Washington, District of Columbia, United States of America, 9/11/15. https://doi.org/10.1109/BIBM.2015.7359762

A new approach for estimating probability of metastasis at diagnosis. / Sun, Shuhao; Klebaner, Fima ; Tian, Tianhai.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine. ed. / Jun (Luke) Huan; Satoru Miyano; Amarda Shehu; Xiaohua Hu; Bin Ma; Sanguthevar Rajasekaran; Vijay K Gombar; Ing Matthieu; Illhoi Yoo; Jiayu Zhou; Brian Chen; Vinay Pai; Brian Pierce. New York NY USA: IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 653-656.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - A new approach for estimating probability of metastasis at diagnosis

AU - Sun, Shuhao

AU - Klebaner, Fima

AU - Tian, Tianhai

PY - 2015

Y1 - 2015

N2 - Metastasis is responsible for 90% of cancer deaths from solid tumors. Although it is well known that metastasis is the result of a series of biological hurdles, it is still a challenge to calculate the probability of metastasis at diagnosis. Recently a new method has been developed based on metastasis formation to investigate the progression of pancreatic cancer. However, the exact solution of this model was difficult to find and hence there is an issue regarding the prediction accuracy of this model. To remedy it, we present in this work an alternative formula which can be easily solved by employing a simple programming and our value is consistent with those predicted by the published model.

AB - Metastasis is responsible for 90% of cancer deaths from solid tumors. Although it is well known that metastasis is the result of a series of biological hurdles, it is still a challenge to calculate the probability of metastasis at diagnosis. Recently a new method has been developed based on metastasis formation to investigate the progression of pancreatic cancer. However, the exact solution of this model was difficult to find and hence there is an issue regarding the prediction accuracy of this model. To remedy it, we present in this work an alternative formula which can be easily solved by employing a simple programming and our value is consistent with those predicted by the published model.

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U2 - 10.1109/BIBM.2015.7359762

DO - 10.1109/BIBM.2015.7359762

M3 - Conference Paper

SN - 9781467367981

SP - 653

EP - 656

BT - Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine

A2 - Huan, Jun (Luke)

A2 - Miyano, Satoru

A2 - Shehu, Amarda

A2 - Hu, Xiaohua

A2 - Ma, Bin

A2 - Rajasekaran, Sanguthevar

A2 - Gombar, Vijay K

A2 - Matthieu, Ing

A2 - Yoo, Illhoi

A2 - Zhou, Jiayu

A2 - Chen, Brian

A2 - Pai, Vinay

A2 - Pierce, Brian

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - New York NY USA

T2 - IEEE International Conference on Bioinformatics and Biomedicine 2015

Y2 - 9 November 2015 through 12 November 2015

ER -

Sun S, Klebaner F , Tian T. A new approach for estimating probability of metastasis at diagnosis. In Huan J, Miyano S, Shehu A, Hu X, Ma B, Rajasekaran S, Gombar VK, Matthieu I, Yoo I, Zhou J, Chen B, Pai V, Pierce B, editors, Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine. New York NY USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 653-656 doi: 10.1109/BIBM.2015.7359762

A new approach for estimating probability of metastasis at diagnosis

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UN SDGs

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A new approach for estimating probability of metastasis at diagnosis

Abstract

Conference

UN SDGs

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Stochastic modelling of telomere length regulation in ageing research

Stochastic modelling of genetic regulatory networks with burst process

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