2024
Advances in predicting breast cancer driver mutations: Tools for precision oncology (Review)
Hao W, Rajendran B, Cui T, Sun J, Zhao Y, Palaniyandi T, Selvam M. Advances in predicting breast cancer driver mutations: Tools for precision oncology (Review). International Journal Of Molecular Medicine 2024, 55: 6. PMID: 39450552, PMCID: PMC11537269, DOI: 10.3892/ijmm.2024.5447.Peer-Reviewed Original ResearchConceptsDisease-free survivalBreast cancerPrecision medicine approachAvailability of high-throughput sequencingPrecision oncologyTherapeutic optionsDriver mutationsDisease-free survival of patientsCancer driver gene identificationDriver gene identificationMedicine approachHigh-throughput sequencingSurvival of patientsTargeted therapeutic optionsFraction of patientsCancer driver mutationsTargeted therapeutic approachesBreast cancer treatmentIdentification of driver mutationsBreast cancer mutationsModern era of medicineCancer-specific biomarkersGene identificationCancer DatabaseCancer mutations
2020
Ethnic-specific BRCA1/2 variation within Asia population: evidence from over 78 000 cancer and 40 000 non-cancer cases of Indian, Chinese, Korean and Japanese populations
Bhaskaran S, Huang T, Rajendran B, Guo M, Luo J, Qin Z, Zhao B, Chian J, Li S, Wang S. Ethnic-specific BRCA1/2 variation within Asia population: evidence from over 78 000 cancer and 40 000 non-cancer cases of Indian, Chinese, Korean and Japanese populations. Journal Of Medical Genetics 2020, 58: 752-759. PMID: 32963034, DOI: 10.1136/jmedgenet-2020-107299.Peer-Reviewed Original ResearchNOTCH1 activation compensates BRCA1 deficiency and promotes triple-negative breast cancer formation
Miao K, Lei J, Valecha M, Zhang A, Xu J, Wang L, Lyu X, Chen S, Miao Z, Zhang X, Su S, Shao F, Rajendran B, Bao J, Zeng J, Sun H, Chen P, Tan K, Chen Q, Wong K, Xu X, Deng C. NOTCH1 activation compensates BRCA1 deficiency and promotes triple-negative breast cancer formation. Nature Communications 2020, 11: 3256. PMID: 32591500, PMCID: PMC7320176, DOI: 10.1038/s41467-020-16936-9.Peer-Reviewed Original ResearchMeSH KeywordsAllelesAnimalsAtaxia Telangiectasia Mutated ProteinsBRCA1 ProteinCarcinogenesisCell DeathCell Line, TumorCheckpoint Kinase 1Disease ProgressionDNA Transposable ElementsEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumansMice, KnockoutMitosisMutationReceptor, Notch1Signal TransductionTriple Negative Breast NeoplasmsConceptsTriple-negative breast cancerEpithelial-mesenchymal transitionHuman breast cancer tissuesBRCA1 mutation carriersBreast cancer tissuesBRCA1-deficient miceActivation of Notch1Breast cancer formationRefractory diseaseForm of Notch1Breast cancerMutation carriersHigh riskCancer tissuesClinical optionG2/M cell cycle checkpointFatal diseaseCell cycle checkpointsM cell cycle checkpointNotch1 activationBRCA1 deficiencyPhosphorylation of ATRNotch1Cancer formationCycle checkpoints
2017
Characterization of potential driver mutations involved in human breast cancer by computational approaches
Rajendran B, Deng C. Characterization of potential driver mutations involved in human breast cancer by computational approaches. Oncotarget 2017, 5: 50252-50272. PMID: 28477017, PMCID: PMC5564847, DOI: 10.18632/oncotarget.17225.Peer-Reviewed Original ResearchConceptsBreast cancerHuman breast cancerBreast cancer initiationForms of cancerPotential driver mutationsLethal cancersBreast tumorigenesisCancerDriver mutationsTumor initiationGenetic mutationsCancer initiationDriver genesPathway analysisProgressionMutation genesCellular regulatory pathwaysCandidate driversRegulatory pathwaysMetastasisCancer driversInitiation