FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4317207866> ?p ?o ?g. }

• W4317207866 endingPage "1415" @default.
• W4317207866 startingPage "1395" @default.
• W4317207866 abstract "Background: Cellular metabolism is a tightly controlled process during which cell growth and survival are maintained. Lung cancer is a disease with clear sex differences, where female patients have better survival rates than males. Evidence of sex differences is demonstrated in cancer risk, prognosis and response to different therapies, yet a sex-specific approach to cancer studies is not widely considered. These different tumour characteristics attributed to sex that impact disease outcome, including constitutional genetic and somatic molecular differences, make it essential to assess viral and hormonal influences. Methods: In silico analysis of lung adenocarcinoma (LUAD) TCGA data, including K-means clustering algorithm, dimensional reduction with principal component analysis and differential expression analysis using EdgeR (p < 0.05), were used to explore some robust sex differences in LUAD that exist in core signalling pathways and metabolic processes between males and females. The correlation of differentially expressed genes (DEGs) expression with immune abundance in the LUAD cohort was analysed on TIMER2.0 and adjusted by tumour purity utilising Cox proportional hazard. Multiple factorial analysis heatmap visualisation was used to examine endogenous steroid hormonal effects on LUAD patients with different smoking status and age groups. Results: We found 161 DEGs showing key differences in regulation of immune system and cellular homeostasis, key elements of divergent cancer progression, between the two sexes. We also found male and female LUAD patients to favour different metabolic intermediates for energy production to support tumourigenesis. Additionally, high levels of Tregs accompanied by DEGs correlated with better LUAD prognosis, and circulating hormonal transcriptional targets affect proliferation and progression in males and females differently. Finally, we examined the role of oestrogen protection in men and pre-/postmenopausal women. Conclusions: Further studies should focus on sex-specific changes and investigate sex-specific gene regulatory networks of these DEGs. Several lifestyle factors, including tobacco smoking and diet, differ between males and females. These factors might affect metabolic pathways and can influence the activity of epigenetic regulators, resulting in significant global epigenetic changes." @default.
• W4317207866 created "2023-01-18" @default.
• W4317207866 creator A5017339582 @default.
• W4317207866 creator A5081622124 @default.
• W4317207866 creator A5083602372 @default.
• W4317207866 creator A5084554327 @default.
• W4317207866 date "2023-01-18" @default.
• W4317207866 modified "2023-10-14" @default.
• W4317207866 title "X Or Y Cancer: An Extensive Analysis of Sex Differences in Lung Adenocarcinoma" @default.
• W4317207866 cites W103031768 @default.
• W4317207866 cites W1514900303 @default.
• W4317207866 cites W1985148437 @default.
• W4317207866 cites W1991066185 @default.
• W4317207866 cites W1998257564 @default.
• W4317207866 cites W2006804742 @default.
• W4317207866 cites W2010457001 @default.
• W4317207866 cites W2013633540 @default.
• W4317207866 cites W2021664357 @default.
• W4317207866 cites W2065683049 @default.
• W4317207866 cites W2101117598 @default.
• W4317207866 cites W2114104545 @default.
• W4317207866 cites W2130410032 @default.
• W4317207866 cites W2140848699 @default.
• W4317207866 cites W2154320833 @default.
• W4317207866 cites W2162805437 @default.
• W4317207866 cites W2259938310 @default.
• W4317207866 cites W2314055436 @default.
• W4317207866 cites W2341186316 @default.
• W4317207866 cites W2507880739 @default.
• W4317207866 cites W2607120474 @default.
• W4317207866 cites W2765224588 @default.
• W4317207866 cites W2787695357 @default.
• W4317207866 cites W2796074542 @default.
• W4317207866 cites W2884878742 @default.
• W4317207866 cites W2885427810 @default.
• W4317207866 cites W2912317801 @default.
• W4317207866 cites W2914371319 @default.
• W4317207866 cites W2928739806 @default.
• W4317207866 cites W2946657092 @default.
• W4317207866 cites W2947554843 @default.
• W4317207866 cites W2997022986 @default.
• W4317207866 cites W3016662185 @default.
• W4317207866 cites W3027286012 @default.
• W4317207866 cites W3035991197 @default.
• W4317207866 cites W3039633408 @default.
• W4317207866 cites W3068772833 @default.
• W4317207866 cites W3094839231 @default.
• W4317207866 cites W3103052339 @default.
• W4317207866 cites W3108227758 @default.
• W4317207866 cites W3162789021 @default.
• W4317207866 cites W4213121631 @default.
• W4317207866 doi "https://doi.org/10.3390/curroncol30020107" @default.
• W4317207866 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36826068" @default.
• W4317207866 hasPublicationYear "2023" @default.
• W4317207866 type Work @default.
• W4317207866 citedByCount "2" @default.
• W4317207866 countsByYear W43172078662023 @default.
• W4317207866 crossrefType "journal-article" @default.
• W4317207866 hasAuthorship W4317207866A5017339582 @default.
• W4317207866 hasAuthorship W4317207866A5081622124 @default.
• W4317207866 hasAuthorship W4317207866A5083602372 @default.
• W4317207866 hasAuthorship W4317207866A5084554327 @default.
• W4317207866 hasBestOaLocation W43172078661 @default.
• W4317207866 hasConcept C104317684 @default.
• W4317207866 hasConcept C121608353 @default.
• W4317207866 hasConcept C126322002 @default.
• W4317207866 hasConcept C134305767 @default.
• W4317207866 hasConcept C143998085 @default.
• W4317207866 hasConcept C203014093 @default.
• W4317207866 hasConcept C207103383 @default.
• W4317207866 hasConcept C2776256026 @default.
• W4317207866 hasConcept C2779134260 @default.
• W4317207866 hasConcept C2781182431 @default.
• W4317207866 hasConcept C44249647 @default.
• W4317207866 hasConcept C54355233 @default.
• W4317207866 hasConcept C60644358 @default.
• W4317207866 hasConcept C71924100 @default.
• W4317207866 hasConcept C86803240 @default.
• W4317207866 hasConcept C8891405 @default.
• W4317207866 hasConceptScore W4317207866C104317684 @default.
• W4317207866 hasConceptScore W4317207866C121608353 @default.
• W4317207866 hasConceptScore W4317207866C126322002 @default.
• W4317207866 hasConceptScore W4317207866C134305767 @default.
• W4317207866 hasConceptScore W4317207866C143998085 @default.
• W4317207866 hasConceptScore W4317207866C203014093 @default.
• W4317207866 hasConceptScore W4317207866C207103383 @default.
• W4317207866 hasConceptScore W4317207866C2776256026 @default.
• W4317207866 hasConceptScore W4317207866C2779134260 @default.
• W4317207866 hasConceptScore W4317207866C2781182431 @default.
• W4317207866 hasConceptScore W4317207866C44249647 @default.
• W4317207866 hasConceptScore W4317207866C54355233 @default.
• W4317207866 hasConceptScore W4317207866C60644358 @default.
• W4317207866 hasConceptScore W4317207866C71924100 @default.
• W4317207866 hasConceptScore W4317207866C86803240 @default.
• W4317207866 hasConceptScore W4317207866C8891405 @default.
• W4317207866 hasFunder F4320323482 @default.
• W4317207866 hasIssue "2" @default.
• W4317207866 hasLocation W43172078661 @default.

• next