FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385461952> ?p ?o ?g. }

• W4385461952 abstract "The molecular subtypes of endometrial carcinoma are significantly correlated with survival outcomes and can guide surgical methods and postoperative adjuvant therapy. Among them, the TP53mut subtype has the worst prognosis and can only be determined by detection after surgery. Therefore, identifying preoperative noninvasive clinical parameters for early prediction of the TP53mut subtype would provide important guidance in choosing the appropriate surgical method and early warning for clinicians. Our study aimed to establish a model for the early prediction of the TP53mut subtype by using preoperative noninvasive parameters of endometrial cancer and screen out potential TP53mut patients.Information and pathological specimens of 376 patients who underwent surgery for FIGO stage I-IV endometrial cancer in the Department of Gynecology, Peking University Cancer Hospital, from June 2011 to July 2020 were collected, and 178 cases were finally included in the study as the training dataset (part A). Thirty-six cases from January 2022 to March 2023 were collected as the validation dataset (part B). Molecular subtyping was performed using a one-stop next-generation sequencing (NGS) approach. Compared with the TP53mut subtype, the POLE EDM, MSI-H and TP53 wild-type subtypes were defined as non-TP53mut subtypes. Univariate Cox regression analysis and multivariate logistic analysis were performed to determine the preoperative clinical parameters associated with the TP53mut subtype. A nomogram prediction model was established using preoperative noninvasive parameters, and its efficacy in predicting TP53mut subtype and survival outcomes was verified.The TP53mut subtype was identified in 12.4% of the part A and 13.9% of the part B. Multivariate logistic regression analysis showed that HDL-C/LDL-C level, CA125 level, and cervical or lower uterine involvement were independent influencing factors associated with the TP53mut subtype (p = 0.016, 0.047, <0.001). A TP53mut prognostic model (TPMM) was constructed based on the factors identified in the multivariate analysis, namely, TPMM = -1.385 × HDL-C/LDL-C + 1.068 × CA125 + 1.89 × CI or LUI, with an AUC = 0.768 (95% CI, 0.642 to 0.893) in the part A. The AUC of TPMM for predicting TP53mut subtype in the part B was 0.781(95% CI, 0.581 to 0.980). The progression-free survival (PFS) and overall survival (OS) of patients with the TP53mut subtype were significantly worse than those of patients with the non-TP53mut subtype, as predicted by the model in the part A.TP53mut prediction model (TPMM) had good diagnostic accuracy, and survival analysis showed the model can identify patients with different prognostic risk." @default.
• W4385461952 created "2023-08-02" @default.
• W4385461952 creator A5010903174 @default.
• W4385461952 creator A5024139201 @default.
• W4385461952 creator A5046597133 @default.
• W4385461952 creator A5069446667 @default.
• W4385461952 creator A5088829354 @default.
• W4385461952 date "2023-08-01" @default.
• W4385461952 modified "2023-09-23" @default.
• W4385461952 title "A nomogram prediction model for the TP53mut subtype in endometrial cancer based on preoperative noninvasive parameters" @default.
• W4385461952 cites W1182035128 @default.
• W4385461952 cites W2009821632 @default.
• W4385461952 cites W2041440766 @default.
• W4385461952 cites W2044869180 @default.
• W4385461952 cites W2085458222 @default.
• W4385461952 cites W2101430974 @default.
• W4385461952 cites W2108511221 @default.
• W4385461952 cites W2117692326 @default.
• W4385461952 cites W2123105952 @default.
• W4385461952 cites W2138326965 @default.
• W4385461952 cites W2144185116 @default.
• W4385461952 cites W2150144117 @default.
• W4385461952 cites W2153505392 @default.
• W4385461952 cites W2510755861 @default.
• W4385461952 cites W2552777552 @default.
• W4385461952 cites W2554420728 @default.
• W4385461952 cites W2557680691 @default.
• W4385461952 cites W2561075927 @default.
• W4385461952 cites W2592804751 @default.
• W4385461952 cites W2598692623 @default.
• W4385461952 cites W2730495368 @default.
• W4385461952 cites W2782554571 @default.
• W4385461952 cites W2793281906 @default.
• W4385461952 cites W2804734745 @default.
• W4385461952 cites W2810585899 @default.
• W4385461952 cites W2905891236 @default.
• W4385461952 cites W2916964158 @default.
• W4385461952 cites W2954023883 @default.
• W4385461952 cites W2974745803 @default.
• W4385461952 cites W2976622175 @default.
• W4385461952 cites W2980921743 @default.
• W4385461952 cites W3039970473 @default.
• W4385461952 cites W3042240604 @default.
• W4385461952 cites W3047152751 @default.
• W4385461952 cites W3092373305 @default.
• W4385461952 cites W3094486545 @default.
• W4385461952 cites W3105190579 @default.
• W4385461952 cites W3127453442 @default.
• W4385461952 cites W3156088310 @default.
• W4385461952 cites W3201041614 @default.
• W4385461952 cites W4220774369 @default.
• W4385461952 doi "https://doi.org/10.1186/s12885-023-11234-1" @default.
• W4385461952 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37528420" @default.
• W4385461952 hasPublicationYear "2023" @default.
• W4385461952 type Work @default.
• W4385461952 citedByCount "0" @default.
• W4385461952 crossrefType "journal-article" @default.
• W4385461952 hasAuthorship W4385461952A5010903174 @default.
• W4385461952 hasAuthorship W4385461952A5024139201 @default.
• W4385461952 hasAuthorship W4385461952A5046597133 @default.
• W4385461952 hasAuthorship W4385461952A5069446667 @default.
• W4385461952 hasAuthorship W4385461952A5088829354 @default.
• W4385461952 hasBestOaLocation W43854619521 @default.
• W4385461952 hasConcept C121608353 @default.
• W4385461952 hasConcept C126322002 @default.
• W4385461952 hasConcept C143998085 @default.
• W4385461952 hasConcept C144301174 @default.
• W4385461952 hasConcept C146357865 @default.
• W4385461952 hasConcept C151730666 @default.
• W4385461952 hasConcept C151956035 @default.
• W4385461952 hasConcept C2777088508 @default.
• W4385461952 hasConcept C2777546739 @default.
• W4385461952 hasConcept C2780140570 @default.
• W4385461952 hasConcept C2780435969 @default.
• W4385461952 hasConcept C34626388 @default.
• W4385461952 hasConcept C38180746 @default.
• W4385461952 hasConcept C50382708 @default.
• W4385461952 hasConcept C71924100 @default.
• W4385461952 hasConcept C86803240 @default.
• W4385461952 hasConceptScore W4385461952C121608353 @default.
• W4385461952 hasConceptScore W4385461952C126322002 @default.
• W4385461952 hasConceptScore W4385461952C143998085 @default.
• W4385461952 hasConceptScore W4385461952C144301174 @default.
• W4385461952 hasConceptScore W4385461952C146357865 @default.
• W4385461952 hasConceptScore W4385461952C151730666 @default.
• W4385461952 hasConceptScore W4385461952C151956035 @default.
• W4385461952 hasConceptScore W4385461952C2777088508 @default.
• W4385461952 hasConceptScore W4385461952C2777546739 @default.
• W4385461952 hasConceptScore W4385461952C2780140570 @default.
• W4385461952 hasConceptScore W4385461952C2780435969 @default.
• W4385461952 hasConceptScore W4385461952C34626388 @default.
• W4385461952 hasConceptScore W4385461952C38180746 @default.
• W4385461952 hasConceptScore W4385461952C50382708 @default.
• W4385461952 hasConceptScore W4385461952C71924100 @default.
• W4385461952 hasConceptScore W4385461952C86803240 @default.
• W4385461952 hasIssue "1" @default.
• W4385461952 hasLocation W43854619521 @default.
• W4385461952 hasLocation W43854619522 @default.
• W4385461952 hasOpenAccess W4385461952 @default.
• W4385461952 hasPrimaryLocation W43854619521 @default.

• next