Advocating the need of a systems biology approach for personalised prognosis and treatment of B-CLL patients

Hemanth Tummala; Alexey Goltsov; Hilal S. Khalil; Anne Sproul; Fiona Scott; Vanio Mitev; Nikolai Zhelev

doi:10.7750/BioDiscovery.2012.6.4

Advocating the need of a systems biology approach for personalised prognosis and treatment of B-CLL patients

Hemanth Tummala
, Alexey Goltsov
, Hilal S. Khalil
, Anne Sproul
, Fiona Scott
, Vanio Mitev
, Nikolai Zhelev

Research output: Contribution to journal › Article › peer-review

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Abstract

The clinical course of B-CLL is heterogeneous. This heterogeneity leads to a clinical dilemma: can we identify those patients who will benefit from early treatment and predict the survival? In recent years, mathematical modelling has contributed significantly in understanding the complexity of diseases. In order to build a mathematical model for determining prognosis of B-CLL one has to identify, characterise and quantify key molecules involved in the disease. Here we discuss the need and role of mathematical modelling in predicting B-CLL disease pathogenesis and suggest a new systems biology approach for a personalised therapy of B-CLL patients.

Original language	English
Number of pages	15
Journal	BioDiscovery
Volume	6
Issue number	4
DOIs	https://doi.org/10.7750/BioDiscovery.2012.6.4
Publication status	Published - 30 Dec 2012

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

B-CLL
Cancer
Systems biology

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10.7750/BioDiscovery.2012.6.4Licence: CC BY

Zhelev_SystemsBiologyApproachForPersonalisedPrognosis_Published_2012Final published version, 3.38 MBLicence: CC BY

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abstract = "The clinical course of B-CLL is heterogeneous. This heterogeneity leads to a clinical dilemma: can we identify those patients who will benefit from early treatment and predict the survival? In recent years, mathematical modelling has contributed significantly in understanding the complexity of diseases. In order to build a mathematical model for determining prognosis of B-CLL one has to identify, characterise and quantify key molecules involved in the disease. Here we discuss the need and role of mathematical modelling in predicting B-CLL disease pathogenesis and suggest a new systems biology approach for a personalised therapy of B-CLL patients.",

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AU - Tummala, Hemanth

AU - Goltsov, Alexey

AU - Khalil, Hilal S.

AU - Sproul, Anne

AU - Scott, Fiona

AU - Mitev, Vanio

AU - Zhelev, Nikolai

PY - 2012/12/30

Y1 - 2012/12/30

N2 - The clinical course of B-CLL is heterogeneous. This heterogeneity leads to a clinical dilemma: can we identify those patients who will benefit from early treatment and predict the survival? In recent years, mathematical modelling has contributed significantly in understanding the complexity of diseases. In order to build a mathematical model for determining prognosis of B-CLL one has to identify, characterise and quantify key molecules involved in the disease. Here we discuss the need and role of mathematical modelling in predicting B-CLL disease pathogenesis and suggest a new systems biology approach for a personalised therapy of B-CLL patients.

AB - The clinical course of B-CLL is heterogeneous. This heterogeneity leads to a clinical dilemma: can we identify those patients who will benefit from early treatment and predict the survival? In recent years, mathematical modelling has contributed significantly in understanding the complexity of diseases. In order to build a mathematical model for determining prognosis of B-CLL one has to identify, characterise and quantify key molecules involved in the disease. Here we discuss the need and role of mathematical modelling in predicting B-CLL disease pathogenesis and suggest a new systems biology approach for a personalised therapy of B-CLL patients.

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Advocating the need of a systems biology approach for personalised prognosis and treatment of B-CLL patients

Abstract

UN SDGs

Keywords

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