2019
DOI: 10.1007/s10147-018-1373-5
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Clinical target sequencing for precision medicine of breast cancer

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Cited by 14 publications
(7 citation statements)
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“…Based on the notion that the accumulation of somatic mutations in cancer cells drives cancer progression 1 , 37 , we previously reported that aggressive cancer biology and anti-cancer immunity are counterbalanced in breast cancer with high mutation rates 4 . This finding led us to the current study where we investigated the clinical relevance of immune activity in breast cancer.…”
Section: Discussionmentioning
confidence: 99%
“…Based on the notion that the accumulation of somatic mutations in cancer cells drives cancer progression 1 , 37 , we previously reported that aggressive cancer biology and anti-cancer immunity are counterbalanced in breast cancer with high mutation rates 4 . This finding led us to the current study where we investigated the clinical relevance of immune activity in breast cancer.…”
Section: Discussionmentioning
confidence: 99%
“…SNPs affect the risk, disease expression patterns, and prognosis of several types of human cancers including breast cancer and this may improve the development of personalized medicine. 26,29,38,53,55,57 In dogs, the genetic profile (including SNPs) have been associated with the risk, clinicopathological features, biological behavior, and prognosis of CMTs. 6,7,[9][10][11][12][13]18,19,45 The present study aimed to assess the influence of PRL gene SNP rs23932236 on CMTs features and outcome.…”
Section: Discussionmentioning
confidence: 99%
“…A multigene panel can be tailored to genes of interest and can be updated as new genes are discovered [ 45 ]. These genomic advances not only pave the way for the development of targeted therapies for different molecular subclasses of tumours but also allow for more precise diagnoses based on molecular profiling and delineate subgroups of patients who are more likely to benefit from targeted agents [ 47 , 48 ]. These tests can also identify actionable driver mutations and underlying mechanisms of drug resistance to reveal patients who are likely to be resistant to therapy [ 47 ].…”
Section: Qualitative Diagnosismentioning
confidence: 99%