PMID- 36347927 OWN - NLM STAT- MEDLINE DCOM- 20221110 LR - 20230105 IS - 2045-2322 (Electronic) IS - 2045-2322 (Linking) VI - 12 IP - 1 DP - 2022 Nov 8 TI - Predictive model for the preoperative assessment and prognostic modeling of lymph node metastasis in endometrial cancer. PG - 19004 LID - 10.1038/s41598-022-23252-3 [doi] LID - 19004 AB - Lymph node metastasis (LNM) is a well-established prognostic factor in endometrial cancer (EC). We aimed to construct a model that predicts LNM and prognosis using preoperative factors such as myometrial invasion (MI), enlarged lymph nodes (LNs), histological grade determined by endometrial biopsy, and serum cancer antigen 125 (CA125) level using two independent cohorts consisting of 254 EC patients. The area under the receiver operating characteristic curve (AUC) of the constructed model was 0.80 regardless of the machine learning techniques. Enlarged LNs and higher serum CA125 levels were more significant in patients with low-grade EC (LGEC) and LNM than in patients without LNM, whereas deep MI and higher CA125 levels were more significant in patients with high-grade EC (HGEC) and LNM than in patients without LNM. The predictive performance of LNM in the HGEC group was higher than that in the LGEC group (AUC = 0.84 and 0.75, respectively). Patients in the group without postoperative pathological LNM and positive LNM prediction had significantly worse relapse-free and overall survival than patients with negative LNM prediction (log-rank test, P < 0.01). This study showed that preoperative clinicopathological factors can predict LNM with high precision and detect patients with poor prognoses. Furthermore, clinicopathological factors associated with LNM were different between HGEC and LGEC patients. CI - (c) 2022. The Author(s). FAU - Asami, Yuka AU - Asami Y AD - Division of Genome Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. AD - Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8666, Japan. FAU - Hiranuma, Kengo AU - Hiranuma K AD - Division of Genome Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. AD - Department of Obstetrics and Gynecology, Faculty of Medicine, Juntendo University, Tokyo, 113-8421, Japan. FAU - Takayanagi, Daisuke AU - Takayanagi D AD - Division of Genome Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. FAU - Matsuda, Maiko AU - Matsuda M AD - Division of Genome Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. FAU - Shimada, Yoko AU - Shimada Y AD - Division of Genome Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. FAU - Kato, Mayumi Kobayashi AU - Kato MK AD - Division of Genome Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. AD - Department of Gynecology, National Cancer Center Hospital, Tokyo, 104-0045, Japan. FAU - Kuno, Ikumi AU - Kuno I AD - Division of Genome Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. FAU - Murakami, Naoya AU - Murakami N AD - Department of Radiation Oncology, National Cancer Center Hospital, Tokyo, 104-0045, Japan. FAU - Komatsu, Masaaki AU - Komatsu M AD - Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan. AD - Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, 103-0027, Japan. FAU - Hamamoto, Ryuji AU - Hamamoto R AD - Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan. AD - Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, 103-0027, Japan. FAU - Kohno, Takashi AU - Kohno T AD - Division of Genome Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. FAU - Sekizawa, Akihiko AU - Sekizawa A AD - Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8666, Japan. FAU - Matsumoto, Koji AU - Matsumoto K AD - Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8666, Japan. FAU - Kato, Tomoyasu AU - Kato T AD - Department of Gynecology, National Cancer Center Hospital, Tokyo, 104-0045, Japan. FAU - Yoshida, Hiroshi AU - Yoshida H AD - Division of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. hiroyosh@ncc.go.jp. FAU - Shiraishi, Kouya AU - Shiraishi K AD - Division of Genome Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan. kshirais@ncc.go.jp. LA - eng GR - 20K18207/Grant-in-Aid for Young Scientists (B)/ GR - 19K16572/Grant-in-Aid for Young Scientists (B)/ GR - 2020-J-2/National Cancer Center Research and Development Fund/ GR - 20K09636/Grant-in-Aid for Scientific Research (C)/ PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20221108 PL - England TA - Sci Rep JT - Scientific reports JID - 101563288 SB - IM MH - Female MH - Humans MH - Lymphatic Metastasis/pathology MH - Prognosis MH - *Lymph Nodes/pathology MH - Retrospective Studies MH - Neoplasm Recurrence, Local/pathology MH - *Endometrial Neoplasms/pathology PMC - PMC9643353 COIS- The authors declare no competing interests. EDAT- 2022/11/09 06:00 MHDA- 2022/11/11 06:00 PMCR- 2022/11/08 CRDT- 2022/11/08 23:27 PHST- 2022/03/18 00:00 [received] PHST- 2022/10/27 00:00 [accepted] PHST- 2022/11/08 23:27 [entrez] PHST- 2022/11/09 06:00 [pubmed] PHST- 2022/11/11 06:00 [medline] PHST- 2022/11/08 00:00 [pmc-release] AID - 10.1038/s41598-022-23252-3 [pii] AID - 23252 [pii] AID - 10.1038/s41598-022-23252-3 [doi] PST - epublish SO - Sci Rep. 2022 Nov 8;12(1):19004. doi: 10.1038/s41598-022-23252-3.