FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3092017248> ?p ?o ?g. }

• W3092017248 endingPage "704" @default.
• W3092017248 startingPage "679" @default.
• W3092017248 abstract "Every day, investigators find a new link between a form of cancer and a particular alteration in the sequence or/and expression level of a key gene, awarding this gene the title of biomarker. The clinician may choose from numerous available panels to assess the type of cancer based on the mutation or expression regulation (transcriptomic signature) of driver genes. However, cancer is not a one-gene show and, together with the alleged biomarker, hundreds other genes are found as mutated or/and regulated in cancer samples. Regardless of the platform, a well-designed transcriptomic study produces three independent features for each gene: Average expression level, expression variability and coordination with expression of each other gene. While the average expression level is used in all studies to identify what genes were up-/down-regulated or turn on/off, the other two features are unfairly ignored. We use all three features to quantify the transcriptomic change during the progression of the disease and recovery in response to a treatment. Data from our published microarray experiments on cancer nodules and surrounding normal tissue from surgically removed tumors prove that the transcriptomic topologies are not only different in histopathologically distinct regions of a tumor but also dynamic and unique for each human being. We show also that the most influential genes in cancer nodules [the Gene Master Regulators (GMRs)] are significantly less influential in the normal tissue. As such, smart manipulation of the cancer GMRs expression may selectively kill cancer cells with little consequences on the normal ones. Therefore, we strongly recommend a really personalized approach of cancer medicine and present the experimental procedure and the mathematical algorithm to identify the most legitimate targets (GMRs) for gene therapy." @default.
• W3092017248 created "2020-10-15" @default.
• W3092017248 creator A5083455648 @default.
• W3092017248 date "2020-09-24" @default.
• W3092017248 modified "2023-09-26" @default.
• W3092017248 title "Powerful quantifiers for cancer transcriptomics" @default.
• W3092017248 cites W1759375471 @default.
• W3092017248 cites W1850434580 @default.
• W3092017248 cites W1977411489 @default.
• W3092017248 cites W1978601145 @default.
• W3092017248 cites W1982401091 @default.
• W3092017248 cites W1982889666 @default.
• W3092017248 cites W1985452888 @default.
• W3092017248 cites W1985783625 @default.
• W3092017248 cites W1991625441 @default.
• W3092017248 cites W1993170236 @default.
• W3092017248 cites W1998441398 @default.
• W3092017248 cites W2004792584 @default.
• W3092017248 cites W2023252793 @default.
• W3092017248 cites W2037629730 @default.
• W3092017248 cites W2044928246 @default.
• W3092017248 cites W2052264988 @default.
• W3092017248 cites W2054630762 @default.
• W3092017248 cites W2059205043 @default.
• W3092017248 cites W2087461579 @default.
• W3092017248 cites W2099152484 @default.
• W3092017248 cites W2103403740 @default.
• W3092017248 cites W2115668487 @default.
• W3092017248 cites W2138157660 @default.
• W3092017248 cites W2147940779 @default.
• W3092017248 cites W2150901760 @default.
• W3092017248 cites W2162143298 @default.
• W3092017248 cites W2170117689 @default.
• W3092017248 cites W2337693414 @default.
• W3092017248 cites W2346744565 @default.
• W3092017248 cites W238668910 @default.
• W3092017248 cites W2504573681 @default.
• W3092017248 cites W2507900684 @default.
• W3092017248 cites W2514779279 @default.
• W3092017248 cites W2522929180 @default.
• W3092017248 cites W2559588208 @default.
• W3092017248 cites W2567986926 @default.
• W3092017248 cites W2594161646 @default.
• W3092017248 cites W2700576167 @default.
• W3092017248 cites W2726542547 @default.
• W3092017248 cites W2754871120 @default.
• W3092017248 cites W2770695543 @default.
• W3092017248 cites W2770873145 @default.
• W3092017248 cites W2778613016 @default.
• W3092017248 cites W2783604542 @default.
• W3092017248 cites W2790437919 @default.
• W3092017248 cites W2797278679 @default.
• W3092017248 cites W2801990676 @default.
• W3092017248 cites W2809038362 @default.
• W3092017248 cites W2809092757 @default.
• W3092017248 cites W2810464703 @default.
• W3092017248 cites W2885548039 @default.
• W3092017248 cites W2886976389 @default.
• W3092017248 cites W2888555926 @default.
• W3092017248 cites W2891704689 @default.
• W3092017248 cites W2891928151 @default.
• W3092017248 cites W2892605286 @default.
• W3092017248 cites W2901672307 @default.
• W3092017248 cites W2902067690 @default.
• W3092017248 cites W2938206352 @default.
• W3092017248 cites W2946334745 @default.
• W3092017248 cites W2947821829 @default.
• W3092017248 cites W2952079474 @default.
• W3092017248 cites W2968254864 @default.
• W3092017248 cites W2973180618 @default.
• W3092017248 cites W2975681944 @default.
• W3092017248 cites W2977201168 @default.
• W3092017248 cites W2982402173 @default.
• W3092017248 cites W2983927145 @default.
• W3092017248 cites W2987816109 @default.
• W3092017248 cites W2994697502 @default.
• W3092017248 cites W2994750434 @default.
• W3092017248 cites W2996344507 @default.
• W3092017248 cites W2998881619 @default.
• W3092017248 cites W3001237656 @default.
• W3092017248 cites W3002904576 @default.
• W3092017248 cites W3003196284 @default.
• W3092017248 cites W3003758390 @default.
• W3092017248 cites W3004498009 @default.
• W3092017248 cites W3004672084 @default.
• W3092017248 cites W3006093334 @default.
• W3092017248 cites W3006464663 @default.
• W3092017248 cites W3006545951 @default.
• W3092017248 cites W3006656503 @default.
• W3092017248 cites W3010530572 @default.
• W3092017248 cites W3021504721 @default.
• W3092017248 cites W3032229730 @default.
• W3092017248 doi "https://doi.org/10.5306/wjco.v11.i9.679" @default.
• W3092017248 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7522543" @default.
• W3092017248 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33033692" @default.
• W3092017248 hasPublicationYear "2020" @default.
• W3092017248 type Work @default.
• W3092017248 sameAs 3092017248 @default.

• next