FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4322741736> ?p ?o ?g. }

• W4322741736 endingPage "624" @default.
• W4322741736 startingPage "609" @default.
• W4322741736 abstract "Current oncogenic theories state that tumors arise from cell lineages that sequentially accumulate (epi)mutations, progressively turning healthy cells into carcinogenic ones. While those models found some empirical support, they are little predictive of intraspecies age-specific cancer incidence and of interspecies cancer prevalence. Notably, in humans and lab rodents, a deceleration (and sometimes decline) of cancer incidence rate has been found at old ages. Additionally, dominant theoretical models of oncogenesis predict that cancer risk should increase in large and/or long-lived species, which is not supported by empirical data. Here, we explore the hypothesis that cellular senescence could explain those incongruent empirical patterns. More precisely, we hypothesize that there is a trade-off between dying of cancer and of (other) ageing-related causes. This trade-off between organismal mortality components would be mediated, at the cellular scale, by the accumulation of senescent cells. In this framework, damaged cells can either undergo apoptosis or enter senescence. Apoptotic cells lead to compensatory proliferation, associated with an excess risk of cancer, whereas senescent cell accumulation leads to ageing-related mortality. To test our framework, we build a deterministic model that first describes how cells get damaged, undergo apoptosis, or enter senescence. We then translate those cellular dynamics into a compound organismal survival metric also integrating life-history traits. We address four different questions linked to our framework: can cellular senescence be adaptive, do the predictions of our model reflect epidemiological patterns observed among mammal species, what is the effect of species sizes on those answers, and what happens when senescent cells are removed? Importantly, we find that cellular senescence can optimize lifetime reproductive success. Moreover, we find that life-history traits play an important role in shaping the cellular trade-offs. Overall, we demonstrate that integrating cellular biology knowledge with eco-evolutionary principles is crucial to solve parts of the cancer puzzle." @default.
• W4322741736 created "2023-03-03" @default.
• W4322741736 creator A5035227517 @default.
• W4322741736 creator A5044582052 @default.
• W4322741736 creator A5066280593 @default.
• W4322741736 creator A5074851520 @default.
• W4322741736 creator A5087372483 @default.
• W4322741736 date "2023-03-01" @default.
• W4322741736 modified "2023-09-25" @default.
• W4322741736 title "Modeling of senescent cell dynamics predicts a late‐life decrease in cancer incidence" @default.
• W4322741736 cites W1497413135 @default.
• W4322741736 cites W1970924670 @default.
• W4322741736 cites W1983274306 @default.
• W4322741736 cites W1991968204 @default.
• W4322741736 cites W1992708996 @default.
• W4322741736 cites W1996127285 @default.
• W4322741736 cites W2001341519 @default.
• W4322741736 cites W2019078072 @default.
• W4322741736 cites W2024209230 @default.
• W4322741736 cites W2026515521 @default.
• W4322741736 cites W2047868073 @default.
• W4322741736 cites W2058097237 @default.
• W4322741736 cites W2066861312 @default.
• W4322741736 cites W2069519394 @default.
• W4322741736 cites W2072928176 @default.
• W4322741736 cites W2091332338 @default.
• W4322741736 cites W2092476887 @default.
• W4322741736 cites W2095647588 @default.
• W4322741736 cites W2113981775 @default.
• W4322741736 cites W2115852450 @default.
• W4322741736 cites W2117692326 @default.
• W4322741736 cites W2117912210 @default.
• W4322741736 cites W2118268521 @default.
• W4322741736 cites W2121302546 @default.
• W4322741736 cites W2126525177 @default.
• W4322741736 cites W2130458932 @default.
• W4322741736 cites W2134390575 @default.
• W4322741736 cites W2143528135 @default.
• W4322741736 cites W2170021722 @default.
• W4322741736 cites W2266290735 @default.
• W4322741736 cites W2407603317 @default.
• W4322741736 cites W2418983711 @default.
• W4322741736 cites W2491494855 @default.
• W4322741736 cites W2590401880 @default.
• W4322741736 cites W2611387862 @default.
• W4322741736 cites W2613647023 @default.
• W4322741736 cites W2620914886 @default.
• W4322741736 cites W2773841090 @default.
• W4322741736 cites W2946521685 @default.
• W4322741736 cites W2946804491 @default.
• W4322741736 cites W2975814872 @default.
• W4322741736 cites W3000669726 @default.
• W4322741736 cites W3008488132 @default.
• W4322741736 cites W3090626058 @default.
• W4322741736 cites W3103233824 @default.
• W4322741736 cites W3128646645 @default.
• W4322741736 cites W3165720345 @default.
• W4322741736 cites W4200048313 @default.
• W4322741736 cites W4229016240 @default.
• W4322741736 cites W4248142848 @default.
• W4322741736 cites W4322741736 @default.
• W4322741736 doi "https://doi.org/10.1111/eva.13514" @default.
• W4322741736 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36969142" @default.
• W4322741736 hasPublicationYear "2023" @default.
• W4322741736 type Work @default.
• W4322741736 citedByCount "1" @default.
• W4322741736 countsByYear W43227417362023 @default.
• W4322741736 crossrefType "journal-article" @default.
• W4322741736 hasAuthorship W4322741736A5035227517 @default.
• W4322741736 hasAuthorship W4322741736A5044582052 @default.
• W4322741736 hasAuthorship W4322741736A5066280593 @default.
• W4322741736 hasAuthorship W4322741736A5074851520 @default.
• W4322741736 hasAuthorship W4322741736A5087372483 @default.
• W4322741736 hasBestOaLocation W43227417361 @default.
• W4322741736 hasConcept C104317684 @default.
• W4322741736 hasConcept C121608353 @default.
• W4322741736 hasConcept C190283241 @default.
• W4322741736 hasConcept C2910240311 @default.
• W4322741736 hasConcept C500499127 @default.
• W4322741736 hasConcept C522857546 @default.
• W4322741736 hasConcept C54355233 @default.
• W4322741736 hasConcept C555283112 @default.
• W4322741736 hasConcept C78458016 @default.
• W4322741736 hasConcept C86803240 @default.
• W4322741736 hasConcept C95444343 @default.
• W4322741736 hasConcept C96232424 @default.
• W4322741736 hasConcept C98638677 @default.
• W4322741736 hasConceptScore W4322741736C104317684 @default.
• W4322741736 hasConceptScore W4322741736C121608353 @default.
• W4322741736 hasConceptScore W4322741736C190283241 @default.
• W4322741736 hasConceptScore W4322741736C2910240311 @default.
• W4322741736 hasConceptScore W4322741736C500499127 @default.
• W4322741736 hasConceptScore W4322741736C522857546 @default.
• W4322741736 hasConceptScore W4322741736C54355233 @default.
• W4322741736 hasConceptScore W4322741736C555283112 @default.
• W4322741736 hasConceptScore W4322741736C78458016 @default.
• W4322741736 hasConceptScore W4322741736C86803240 @default.
• W4322741736 hasConceptScore W4322741736C95444343 @default.

• next