Matches in SemOpenAlex for { <https://semopenalex.org/work/W4323316153> ?p ?o ?g. }
- W4323316153 abstract "Introduction: Papillary thyroid cancer (PTC) is the most common endocrine malignancy. However, different PTC variants reveal high heterogeneity at histological, cytological, molecular and clinicopathological levels, which complicates the precise diagnosis and management of PTC. Alternative splicing (AS) has been reported to be potential cancer biomarkers and therapeutic targets. Method: Here, we aim to find a more sophisticated molecular subclassification and characterization for PTC by integrating AS profiling. Based on six differentially expressed alternative splicing (DEAS) events, a new molecular subclassification was proposed to reclassify PTC into three new groups named as Cluster0, Cluster1 and Cluster2 respectively. Results: An in silico prediction was performed for accurate recognition of new groups with the average accuracy of 91.2%. Moreover, series of analyses were implemented to explore the differences of clinicopathology, molecular and immune characteristics across them. It suggests that there are remarkable differences among them, but Cluster2 was characterized by poor prognosis, higher immune heterogeneity and more sensitive to anti-PD1 therapy. The splicing correlation networks proved the complicated regulation relationships between AS events and splicing factors (SFs). An independent prognostic indicator for PTC overall survival (OS) was established. Finally, three compounds (orantinib, tyrphostin-AG-1295 and AG-370) were discovered to be the potential therapeutic agents. Discussion: Overall, the six DEAS events are not only potential biomarkers for precise diagnosis of PTC, but also the probable prognostic predictors. This research would be expected to highlight the effect of AS events on PTC characterization and also provide new insights into refining precise subclassification and improving medical therapy for PTC patients." @default.
- W4323316153 created "2023-03-07" @default.
- W4323316153 creator A5027024676 @default.
- W4323316153 creator A5037593812 @default.
- W4323316153 creator A5045918648 @default.
- W4323316153 creator A5050836872 @default.
- W4323316153 creator A5090920346 @default.
- W4323316153 date "2023-03-06" @default.
- W4323316153 modified "2023-10-16" @default.
- W4323316153 title "A new molecular subclassification and in silico predictions for diagnosis and prognosis of papillary thyroid cancer by alternative splicing profile" @default.
- W4323316153 cites W1751752696 @default.
- W4323316153 cites W1848939527 @default.
- W4323316153 cites W1883773314 @default.
- W4323316153 cites W1986604594 @default.
- W4323316153 cites W1994933955 @default.
- W4323316153 cites W2047663538 @default.
- W4323316153 cites W2066472069 @default.
- W4323316153 cites W2069440689 @default.
- W4323316153 cites W2072821087 @default.
- W4323316153 cites W2114113399 @default.
- W4323316153 cites W2119832874 @default.
- W4323316153 cites W2130430382 @default.
- W4323316153 cites W2130599053 @default.
- W4323316153 cites W2146512944 @default.
- W4323316153 cites W2152737552 @default.
- W4323316153 cites W2153833484 @default.
- W4323316153 cites W2159707944 @default.
- W4323316153 cites W2170285778 @default.
- W4323316153 cites W2520304492 @default.
- W4323316153 cites W2531368906 @default.
- W4323316153 cites W2591253403 @default.
- W4323316153 cites W2606005005 @default.
- W4323316153 cites W2613155082 @default.
- W4323316153 cites W2739998491 @default.
- W4323316153 cites W2762518662 @default.
- W4323316153 cites W2803934991 @default.
- W4323316153 cites W2887577080 @default.
- W4323316153 cites W2889958303 @default.
- W4323316153 cites W2896872272 @default.
- W4323316153 cites W2924122631 @default.
- W4323316153 cites W2936705941 @default.
- W4323316153 cites W3016273280 @default.
- W4323316153 cites W3029638109 @default.
- W4323316153 cites W3044328692 @default.
- W4323316153 cites W3083519996 @default.
- W4323316153 cites W3091597462 @default.
- W4323316153 cites W3097803258 @default.
- W4323316153 cites W3111942073 @default.
- W4323316153 cites W3119822559 @default.
- W4323316153 cites W3120524269 @default.
- W4323316153 cites W3121892727 @default.
- W4323316153 cites W3124412403 @default.
- W4323316153 cites W3132948359 @default.
- W4323316153 cites W3135402673 @default.
- W4323316153 cites W3177016339 @default.
- W4323316153 cites W3177626521 @default.
- W4323316153 cites W3180083742 @default.
- W4323316153 cites W3181647473 @default.
- W4323316153 cites W3183893778 @default.
- W4323316153 cites W3202341801 @default.
- W4323316153 cites W4200077321 @default.
- W4323316153 cites W4200530376 @default.
- W4323316153 cites W4213256983 @default.
- W4323316153 cites W4221001328 @default.
- W4323316153 doi "https://doi.org/10.3389/fphar.2023.1119789" @default.
- W4323316153 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36950012" @default.
- W4323316153 hasPublicationYear "2023" @default.
- W4323316153 type Work @default.
- W4323316153 citedByCount "0" @default.
- W4323316153 crossrefType "journal-article" @default.
- W4323316153 hasAuthorship W4323316153A5027024676 @default.
- W4323316153 hasAuthorship W4323316153A5037593812 @default.
- W4323316153 hasAuthorship W4323316153A5045918648 @default.
- W4323316153 hasAuthorship W4323316153A5050836872 @default.
- W4323316153 hasAuthorship W4323316153A5090920346 @default.
- W4323316153 hasBestOaLocation W43233161531 @default.
- W4323316153 hasConcept C104317684 @default.
- W4323316153 hasConcept C121608353 @default.
- W4323316153 hasConcept C126322002 @default.
- W4323316153 hasConcept C143998085 @default.
- W4323316153 hasConcept C194583182 @default.
- W4323316153 hasConcept C2775905019 @default.
- W4323316153 hasConcept C2779399171 @default.
- W4323316153 hasConcept C2779761222 @default.
- W4323316153 hasConcept C2781461381 @default.
- W4323316153 hasConcept C36823959 @default.
- W4323316153 hasConcept C502942594 @default.
- W4323316153 hasConcept C54355233 @default.
- W4323316153 hasConcept C54458228 @default.
- W4323316153 hasConcept C60644358 @default.
- W4323316153 hasConcept C67705224 @default.
- W4323316153 hasConcept C70721500 @default.
- W4323316153 hasConcept C71924100 @default.
- W4323316153 hasConcept C86803240 @default.
- W4323316153 hasConceptScore W4323316153C104317684 @default.
- W4323316153 hasConceptScore W4323316153C121608353 @default.
- W4323316153 hasConceptScore W4323316153C126322002 @default.
- W4323316153 hasConceptScore W4323316153C143998085 @default.
- W4323316153 hasConceptScore W4323316153C194583182 @default.
- W4323316153 hasConceptScore W4323316153C2775905019 @default.