Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293208767> ?p ?o ?g. }
- W4293208767 endingPage "4070" @default.
- W4293208767 startingPage "4070" @default.
- W4293208767 abstract "Objectives: A risk assessment model for metastasis in endometrioid endometrial cancer (EEC) was developed using molecular and clinical features, and prognostic association was examined. Methods: Patients had stage I, IIIC, or IV EEC with tumor-derived RNA-sequencing or microarray-based data. Metastasis-associated transcripts and platform-centric diagnostic algorithms were selected and evaluated using regression modeling and receiver operating characteristic curves. Results: Seven metastasis-associated transcripts were selected from analysis in the training cohorts using 10-fold cross validation and incorporated into an MS7 classifier using platform-specific coefficients. The predictive accuracy of the MS7 classifier in Training-1 was superior to that of other clinical and molecular features, with an area under the curve (95% confidence interval) of 0.89 (0.80-0.98) for MS7 compared with 0.69 (0.59-0.80) and 0.71 (0.58-0.83) for the top evaluated clinical and molecular features, respectively. The performance of MS7 was independently validated in 245 patients using RNA sequencing and in 81 patients using microarray-based data. MS7 + MI (myometrial invasion) was preferrable to individual features and exhibited 100% sensitivity and negative predictive value. The MS7 classifier was associated with lower progression-free and overall survival (p ≤ 0.003). Conclusion: A risk assessment classifier for metastasis and prognosis in EEC patients with primary tumor derived MS7 + MI is available for further development and optimization as a companion clinical support tool." @default.
- W4293208767 created "2022-08-27" @default.
- W4293208767 creator A5000738137 @default.
- W4293208767 creator A5004006667 @default.
- W4293208767 creator A5004854530 @default.
- W4293208767 creator A5005580927 @default.
- W4293208767 creator A5006257784 @default.
- W4293208767 creator A5006618032 @default.
- W4293208767 creator A5010038981 @default.
- W4293208767 creator A5010088272 @default.
- W4293208767 creator A5026821126 @default.
- W4293208767 creator A5032022793 @default.
- W4293208767 creator A5032255820 @default.
- W4293208767 creator A5037590677 @default.
- W4293208767 creator A5038326888 @default.
- W4293208767 creator A5038472880 @default.
- W4293208767 creator A5055906233 @default.
- W4293208767 creator A5061979079 @default.
- W4293208767 creator A5069353041 @default.
- W4293208767 creator A5073770540 @default.
- W4293208767 creator A5075865695 @default.
- W4293208767 creator A5076087889 @default.
- W4293208767 creator A5080595928 @default.
- W4293208767 creator A5081561534 @default.
- W4293208767 creator A5085457452 @default.
- W4293208767 creator A5085606987 @default.
- W4293208767 creator A5088715850 @default.
- W4293208767 creator A5088918716 @default.
- W4293208767 creator A5089299085 @default.
- W4293208767 date "2022-08-23" @default.
- W4293208767 modified "2023-10-14" @default.
- W4293208767 title "Improving Risk Assessment for Metastatic Disease in Endometrioid Endometrial Cancer Patients Using Molecular and Clinical Features: An NRG Oncology/Gynecologic Oncology Group Study" @default.
- W4293208767 cites W1932947712 @default.
- W4293208767 cites W1966736917 @default.
- W4293208767 cites W1969049655 @default.
- W4293208767 cites W1976804577 @default.
- W4293208767 cites W1981828662 @default.
- W4293208767 cites W1982889157 @default.
- W4293208767 cites W1984223300 @default.
- W4293208767 cites W1996685869 @default.
- W4293208767 cites W1997527004 @default.
- W4293208767 cites W1998300351 @default.
- W4293208767 cites W2002882295 @default.
- W4293208767 cites W2010474404 @default.
- W4293208767 cites W2013128506 @default.
- W4293208767 cites W2015634396 @default.
- W4293208767 cites W2018782373 @default.
- W4293208767 cites W2021580626 @default.
- W4293208767 cites W2022415092 @default.
- W4293208767 cites W2025153944 @default.
- W4293208767 cites W2041051310 @default.
- W4293208767 cites W2041332302 @default.
- W4293208767 cites W2041440766 @default.
- W4293208767 cites W2043008123 @default.
- W4293208767 cites W2043772704 @default.
- W4293208767 cites W2046111753 @default.
- W4293208767 cites W2048124721 @default.
- W4293208767 cites W2055308678 @default.
- W4293208767 cites W2065355082 @default.
- W4293208767 cites W2086112404 @default.
- W4293208767 cites W2086248599 @default.
- W4293208767 cites W2094460966 @default.
- W4293208767 cites W2102776767 @default.
- W4293208767 cites W2103722713 @default.
- W4293208767 cites W2110595758 @default.
- W4293208767 cites W2113726619 @default.
- W4293208767 cites W2115808409 @default.
- W4293208767 cites W2117207378 @default.
- W4293208767 cites W2121710779 @default.
- W4293208767 cites W2124593467 @default.
- W4293208767 cites W2130348198 @default.
- W4293208767 cites W2140555645 @default.
- W4293208767 cites W2144947440 @default.
- W4293208767 cites W2155113800 @default.
- W4293208767 cites W2156040520 @default.
- W4293208767 cites W2162143298 @default.
- W4293208767 cites W2165275454 @default.
- W4293208767 cites W2167857063 @default.
- W4293208767 cites W2168172304 @default.
- W4293208767 cites W2265821526 @default.
- W4293208767 cites W2284915189 @default.
- W4293208767 cites W2390254673 @default.
- W4293208767 cites W2399708058 @default.
- W4293208767 cites W2406514653 @default.
- W4293208767 cites W2412327577 @default.
- W4293208767 cites W2426826941 @default.
- W4293208767 cites W2498281975 @default.
- W4293208767 cites W2709458048 @default.
- W4293208767 cites W2726333574 @default.
- W4293208767 cites W2753863545 @default.
- W4293208767 cites W2773798335 @default.
- W4293208767 cites W2778482211 @default.
- W4293208767 cites W2789877552 @default.
- W4293208767 cites W2790661526 @default.
- W4293208767 cites W2804605804 @default.
- W4293208767 cites W2822186187 @default.
- W4293208767 cites W2919621058 @default.
- W4293208767 cites W4206841660 @default.