[HTML][HTML] Navigating multi-scale cancer systems biology towards model-driven clinical oncology and its applications in personalized therapeutics

MN Gondal, SU Chaudhary - Frontiers in Oncology, 2021 - frontiersin.org
Rapid advancements in high-throughput omics technologies and experimental protocols
have led to the generation of vast amounts of scale-specific biomolecular data on cancer …

[HTML][HTML] Systems biology and experimental model systems of cancer

GD Yalcin, N Danisik, RC Baygin, A Acar - Journal of Personalized …, 2020 - mdpi.com
Over the past decade, we have witnessed an increasing number of large-scale studies that
have provided multi-omics data by high-throughput sequencing approaches. This has …

Cancer systems biology: embracing complexity to develop better anticancer therapeutic strategies

W Du, O Elemento - Oncogene, 2015 - nature.com
The transformation of normal cells into cancer cells and maintenance of the malignant state
and phenotypes are associated with genetic and epigenetic deregulations, altered cellular …

[HTML][HTML] Integration of transcriptomics data into agent-based models of solid tumor metastasis

J Retzlaff, X Lai, C Berking, J Vera - Computational and structural …, 2023 - Elsevier
Recent progress in our understanding of cancer mostly relies on the systematic profiling of
patient samples with high-throughput techniques like transcriptomics. With this approach …

TISON: a next-generation multi-scale modeling theatre for in silico systems oncology

MN Gondal, MU Sultan, A Arif, A Rehman, HA Awan… - BioRxiv, 2021 - biorxiv.org
Multi-scale models integrating biomolecular data from genetic, transcriptional, and
translational levels, coupled with extracellular microenvironments can assist in decoding the …

[HTML][HTML] Multiscale cancer modeling and in silico oncology: emerging computational frontiers in basic and translational cancer research

GS Stamatakos, N Graf… - Journal of bioengineering …, 2013 - ncbi.nlm.nih.gov
Cancer cells contain numerous mutations in the genome that are present in most or all
malignant cells of a tumor. While not all mutations are significant for cancer progression, a …

Prospects and challenges of cancer systems medicine: from genes to disease networks

MR Karimi, AH Karimi, S Abolmaali… - Briefings in …, 2022 - academic.oup.com
It is becoming evident that holistic perspectives toward cancer are crucial in deciphering the
overwhelming complexity of tumors. Single-layer analysis of genome-wide data has greatly …

A path to knowledge: from data to complex systems models of cancer

S Nagl - Cancer Bioinformatics: From Therapy Design to …, 2006 - Wiley Online Library
'The definitive property of individuality at the organismal level lies in the effective
suppression of the differential propagation of subparts as a necessary strategy for …

Human cancer modeling: recapitulating tumor heterogeneity towards personalized medicine

M Gardaneh - 2017 - sid.ir
Despite diagnostic, preventive and therapeutic advances, the growing incidence of cancer
and the high rate of mortality among patients affected by specific cancer types indicate that …

[图书][B] Cancer systems biology

L von Stechow, von Stechow, MARTON. - 2018 - Springer
Cancer is a highly complex disease that is often characterized by vast changes in the
genetic and epigenetic landscape. Those changes result in altered protein expression levels …