ReviewCancer medicine2013
Complexity in cancer biology: is systems biology the answer?
Review in Cancer medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 45 citations in OpenAlex.
- Harnessing Proteogenomics to Advance Precision Oncology: From Melanoma and Hepatocellular Carcinoma Perspective.Current oncology reports · 2026Review
- Challenges and Opportunities in Multi-Omics Data Acquisition and Analysis: Toward Integrative Solutions.Biomolecules · 2026Review
- A Framework for Analyzing the Epigenetic and Transcriptomic Landscape of Cancers Using Single-Cell Multiomic Data.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Advanced Targeted Drug Delivery of Bioactive Nanomaterials in the Management of Cancer.Current medicinal chemistry · 2025Review
- Alteration of Lipid Metabolism in Prostate Cancer: Multifaceted Oncologic Implications.International journal of molecular sciences · 2023Review
- Capsaicin Alters the Expression of Genetic and Epigenetic Molecules In Hepatocellular Carcinoma Cell.International journal of molecular and cellular medicine · 2022Article
- Editorial: Artificial Intelligence (AI) Optimized Systems Modeling for the Deeper Understanding of Human Cancers.Frontiers in bioengineering and biotechnology · 2021Article
- Topological and system-level protein interaction network (PIN) analyses to deduce molecular mechanism of curcumin.Scientific reports · 2020Article
- A Middle-Out Modeling Strategy to Extend a Colon Cancer Logical Model Improves Drug Synergy Predictions in Epithelial-Derived Cancer Cell Lines.Frontiers in molecular biosciences · 2020Article
- Article
- Therapeutic target discovery using Boolean network attractors: improvements of kali.Royal Society open science · 2018Article
- Network spectra for drug-target identification in complex diseases: new guns against old foes.Applied network science · 2018Review
- Modeling the dynamics of chromosomal alteration progression in cervical cancer: A computational model.PloS one · 2017Article
- Inhibition of never in mitosis A (NIMA)-related kinase-4 reduces survivin expression and sensitizes cancer cells to TRAIL-induced cell death.Oncotarget · 2016Article
- Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps.Oncogenesis · 2015Article
- Assessing the carcinogenic potential of low-dose exposures to chemical mixtures in the environment: the challenge ahead.Carcinogenesis · 2015Review
- Applications of systems approaches in the study of rheumatic diseases.The Korean journal of internal medicine · 2015Review
- Prostate cancer metastasis-driving genes: hurdles and potential approaches in their identification.Asian journal of andrologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Complex phenotypes emerge from the interactions of thousands of macromolecules that are organized in multimolecular complexes and interacting functional modules. In turn, modules form functional networks in health and disease. Omics approaches collect data on changes for all genes and proteins and statistical analysis attempts to uncover the functional modules that perform the functions that characterize higher levels of biological organization. Systems biology attempts to transcend the study of individual genes/proteins and to integrate them into higher order information. Cancer cells exhibit defective genetic and epigenetic networks formed by altered complexes and network modules arising in different parts of tumor tissues that sustain autonomous cell behavior which ultimately lead tumor growth. We suggest that an understanding of tumor behavior must address not only molecular but also, and more importantly, tumor cell heterogeneity, by considering cancer tissue genetic and epigenetic networks, by characterizing changes in the types, composition, and interactions of complexes and networks in the different parts of tumor tissues, and by identifying critical hubs that connect them in time and space.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.