A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patients
Abstract Objective This study investigated site-specific differences in clinical factors for recurrence in patients who were newly diagnosed and treated for endometrial cancer. A model for predicting recurrence sites was generated. Methods Electronic medical records’ data were retrieved from January...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-10-01
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| Series: | BMC Cancer |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12885-022-10193-3 |
| _version_ | 1811328490977361920 |
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| author | Wonkyo Shin Seong J. Yang Sang-Yoon Park Sokbom Kang Dong Ock Lee Myong Cheol Lim Sang-Soo Seo |
| author_facet | Wonkyo Shin Seong J. Yang Sang-Yoon Park Sokbom Kang Dong Ock Lee Myong Cheol Lim Sang-Soo Seo |
| author_sort | Wonkyo Shin |
| collection | DOAJ |
| description | Abstract Objective This study investigated site-specific differences in clinical factors for recurrence in patients who were newly diagnosed and treated for endometrial cancer. A model for predicting recurrence sites was generated. Methods Electronic medical records’ data were retrieved from January 2006 to December 2018 for patients who were diagnosed with endometrial cancer at the National cancer center in Korea. Recurrence sites were classified as local, regional, or distant. We used multinomial logistic regression models that modeled the log-odds for the three recurrence sites relative to non-recurrence as a linear combination of possible risk factors for the recurrence of endometrial cancer. Results The data of 611 patients were selected for analysis; there were 20, 12, and 25 cases of local, regional, and distant recurrence, respectively, and 554 patients had no recurrence. High-grade disease was associated with local recurrence; non-endometrioid histology and parametrial invasion were risk factors for regional recurrence; additionally, parametrial invasion and no lymphadenectomy were associated with distant metastasis. Conclusion We identified different risk factors specific for each type of recurrence site. Using these risk factors, we suggest that individually tailored adjuvant treatments be introduced for patients. |
| first_indexed | 2024-04-13T15:26:03Z |
| format | Article |
| id | doaj.art-df1f3dbb7d8b4569a8bc2f71c12ebde8 |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-04-13T15:26:03Z |
| publishDate | 2022-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-df1f3dbb7d8b4569a8bc2f71c12ebde82022-12-22T02:41:30ZengBMCBMC Cancer1471-24072022-10-012211810.1186/s12885-022-10193-3A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patientsWonkyo Shin0Seong J. Yang1Sang-Yoon Park2Sokbom Kang3Dong Ock Lee4Myong Cheol Lim5Sang-Soo Seo6Center for Gynecologic Cancer, National Cancer CenterDepartment of Statistics (Institute of Applied Statistics), Jeonbuk National UniversityCenter for Gynecologic Cancer, National Cancer CenterCenter for Gynecologic Cancer, National Cancer CenterCenter for Gynecologic Cancer, National Cancer CenterCenter for Gynecologic Cancer, National Cancer CenterCenter for Gynecologic Cancer, National Cancer CenterAbstract Objective This study investigated site-specific differences in clinical factors for recurrence in patients who were newly diagnosed and treated for endometrial cancer. A model for predicting recurrence sites was generated. Methods Electronic medical records’ data were retrieved from January 2006 to December 2018 for patients who were diagnosed with endometrial cancer at the National cancer center in Korea. Recurrence sites were classified as local, regional, or distant. We used multinomial logistic regression models that modeled the log-odds for the three recurrence sites relative to non-recurrence as a linear combination of possible risk factors for the recurrence of endometrial cancer. Results The data of 611 patients were selected for analysis; there were 20, 12, and 25 cases of local, regional, and distant recurrence, respectively, and 554 patients had no recurrence. High-grade disease was associated with local recurrence; non-endometrioid histology and parametrial invasion were risk factors for regional recurrence; additionally, parametrial invasion and no lymphadenectomy were associated with distant metastasis. Conclusion We identified different risk factors specific for each type of recurrence site. Using these risk factors, we suggest that individually tailored adjuvant treatments be introduced for patients.https://doi.org/10.1186/s12885-022-10193-3Endometrial cancerLymph nodeLymph node dissectionSurvival rate |
| spellingShingle | Wonkyo Shin Seong J. Yang Sang-Yoon Park Sokbom Kang Dong Ock Lee Myong Cheol Lim Sang-Soo Seo A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patients BMC Cancer Endometrial cancer Lymph node Lymph node dissection Survival rate |
| title | A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patients |
| title_full | A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patients |
| title_fullStr | A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patients |
| title_full_unstemmed | A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patients |
| title_short | A predictive model based on site-specific risk factors of recurrence regions in endometrial cancer patients |
| title_sort | predictive model based on site specific risk factors of recurrence regions in endometrial cancer patients |
| topic | Endometrial cancer Lymph node Lymph node dissection Survival rate |
| url | https://doi.org/10.1186/s12885-022-10193-3 |
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