Tumour cells have exquisite flexibility in reprogramming their metabolism in order to support tumour initiation, progression,metastasis and resistance to therapies. These reprogrammed activities include a complete rew...Tumour cells have exquisite flexibility in reprogramming their metabolism in order to support tumour initiation, progression,metastasis and resistance to therapies. These reprogrammed activities include a complete rewiring of the bioenergetic, biosyntheticand redox status to sustain the increased energetic demand of the cells. Over the last decades, the cancer metabolism field hasseen an explosion of new biochemical technologies giving more tools than ever before to navigate this complexity. Within a cell ora tissue, the metabolites constitute the direct signature of the molecular phenotype and thus their profiling has concrete clinicalapplications in oncology. Metabolomics and fluxomics, are key technological approaches that mainly revolutionized the fieldenabling researchers to have both a qualitative and mechanistic model of the biochemical activities in cancer. Furthermore, theupgrade from bulk to single-cell analysis technologies provided unprecedented opportunity to investigate cancer biology at cellularresolution allowing an in depth quantitative analysis of complex and heterogenous diseases. More recently, the advent offunctional genomic screening allowed the identification of molecular pathways, cellular processes, biomarkers and noveltherapeutic targets that in concert with other technologies allow patient stratification and identification of new treatmentregimens. This review is intended to be a guide for researchers to cancer metabolism, highlighting current and emergingtechnologies, emphasizing advantages, disadvantages and applications with the potential of leading the development ofinnovative anti-cancer therapies.展开更多
In a previous paper "to retrofit or not to retrofit?"(Nuti and Vanzi, 2003) a straightforward procedure able to forecast the economic return of seismic structural upgrading was presented. More recently, the ...In a previous paper "to retrofit or not to retrofit?"(Nuti and Vanzi, 2003) a straightforward procedure able to forecast the economic return of seismic structural upgrading was presented. More recently, the authors realized that the final mathematical results can be much simplified so as to allow back-of-an-envelope computation. The title of this paper tries to highlight precisely this aspect, namely that for many a regular seismic structural upgrading cases, nearly no computation is needed(apart from one subtraction and one multiplication) to assess their economic convenience. These findings are presented and discussed in this paper, together with a state of the art on the cost-studies available in literature and technical codes. The mathematical formulation leading to the proposed approximation is suitably explained, underlining its applicability field and comparing it with the rigorous solution. Also a table and a formula are furnished that alternatively allows to calculate the maximum estimation errors, in order to obtain an upper and lower bound for the maximum amount of money which should be allocated for seismic structural upgrading.展开更多
基金the Associazione Italiana per la Ricerca sul Cancro(AIRC,Project:27080)NextGenerationEU(PNRR“HEAL ITALIA-Health Extended Alliance for Innovative Therapies,Advanced Lab-research,and Integrated Approaches of Precision Medicine”,project:PE00000019,CUP:B33C22001030006)Directorial Decree No.1559 of 11 October 2022 and by Italian Ministry of Health,HUB Diagnostica Avanzata PNC-E3-2022-23683266 PNCHLS-DA.
文摘Tumour cells have exquisite flexibility in reprogramming their metabolism in order to support tumour initiation, progression,metastasis and resistance to therapies. These reprogrammed activities include a complete rewiring of the bioenergetic, biosyntheticand redox status to sustain the increased energetic demand of the cells. Over the last decades, the cancer metabolism field hasseen an explosion of new biochemical technologies giving more tools than ever before to navigate this complexity. Within a cell ora tissue, the metabolites constitute the direct signature of the molecular phenotype and thus their profiling has concrete clinicalapplications in oncology. Metabolomics and fluxomics, are key technological approaches that mainly revolutionized the fieldenabling researchers to have both a qualitative and mechanistic model of the biochemical activities in cancer. Furthermore, theupgrade from bulk to single-cell analysis technologies provided unprecedented opportunity to investigate cancer biology at cellularresolution allowing an in depth quantitative analysis of complex and heterogenous diseases. More recently, the advent offunctional genomic screening allowed the identification of molecular pathways, cellular processes, biomarkers and noveltherapeutic targets that in concert with other technologies allow patient stratification and identification of new treatmentregimens. This review is intended to be a guide for researchers to cancer metabolism, highlighting current and emergingtechnologies, emphasizing advantages, disadvantages and applications with the potential of leading the development ofinnovative anti-cancer therapies.
基金the research project "OptArch-689983,H2020-MSCA-RISE-2015/H2020-MSCA-RISE-20"
文摘In a previous paper "to retrofit or not to retrofit?"(Nuti and Vanzi, 2003) a straightforward procedure able to forecast the economic return of seismic structural upgrading was presented. More recently, the authors realized that the final mathematical results can be much simplified so as to allow back-of-an-envelope computation. The title of this paper tries to highlight precisely this aspect, namely that for many a regular seismic structural upgrading cases, nearly no computation is needed(apart from one subtraction and one multiplication) to assess their economic convenience. These findings are presented and discussed in this paper, together with a state of the art on the cost-studies available in literature and technical codes. The mathematical formulation leading to the proposed approximation is suitably explained, underlining its applicability field and comparing it with the rigorous solution. Also a table and a formula are furnished that alternatively allows to calculate the maximum estimation errors, in order to obtain an upper and lower bound for the maximum amount of money which should be allocated for seismic structural upgrading.
