Predictive genomics: A cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data

Seminars in Cancer Biology

Volumn 30, Issue , 2015, Pages 4-12

  Wang, Edwin ^a,b   Zaman, Naif ^a,c   Mcgee, Shauna ^a,d   Milanese, Jean Sébastien ^a,e   Masoudi Nejad, Ali ^f   O'Connor McCourt, Maureen ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c MCGILL UNIVERSITY   (Canada)

^d MCGILL UNIVERSITY   (Canada)

^e UNIVERSITÉ LAVAL   (Canada)

^f UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Cancer hallmark; Cancer hallmark network framework; Cancer systems biology; Clinical phenotype; Drug resistance; Gene regulatory profile; Network; Network operational signature; Personalized medicine; Regulatory Phenotype; Tumor genome sequencing

Indexed keywords

CARCINOGEN;

AGING; ARTIFICIAL NEURAL NETWORK; CANCER GROWTH; CANCER HALLMARK NETWORK FRAMEWORK; CANCER PATIENT; CANCER PREVENTION; CANCER RESISTANCE; CANCER RISK; CARCINOGENESIS; CELL MOTILITY; CELL PROLIFERATION; CELL SURVIVAL; CLONAL EVOLUTION; DISEASE ASSOCIATION; DRUG RESISTANCE; DRUG TARGETING; GENE DUPLICATION; GENE MUTATION; GENE REGULATORY NETWORK; GENE SEQUENCE; GENOMIC INSTABILITY; GENOMICS; HOST; HUMAN; IMMUNE SYSTEM; MATHEMATICAL MODEL; METASTASIS; PERSONALIZED MEDICINE; PHENOTYPE; POSITIVE FEEDBACK; PREDICTION; PREDICTIVE GENOMICS; REVIEW; SIGNAL TRANSDUCTION; STROMA; TUMOR GENE; BIOLOGICAL MODEL; GENETICS; HUMAN GENOME; NEOPLASM; PROCEDURES;

GENE REGULATORY NETWORKS; GENOME, HUMAN; GENOMICS; HUMANS; INDIVIDUALIZED MEDICINE; MODELS, GENETIC; NEOPLASMS; PHENOTYPE;

EID: 84919626787     PISSN: 1044579X     EISSN: 10963650     Source Type: Journal    
DOI: 10.1016/j.semcancer.2014.04.002     Document Type: Review

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