Cancer Research and Treatment

Comprehensive analyses of mitophagy-related genes and mitophagy-related lncRNAs for patients with ovarian cancer

Jianfeng Zheng, Shan Jiang, Xuefen Lin, Huihui Wang, Li Liu, Xintong Cai, Yang Sun

Peripheral and tumor‐infiltrating immune cells are correlated with patient outcomes in ovarian cancer

Weiwei Zhang, Yawen Ling, Zhidong Li, Xingchen Peng, Yazhou Ren

Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods

Seung Mi Lee, Suhyun Hwangbo, Errol R. Norwitz, Ja Nam Koo, Ig Hwan Oh, Eun Saem Choi, Young Mi Jung, Sun Min Kim, Byoung Jae Kim, Sang Youn Kim, Gyoung Min Kim, Won Kim, Sae Kyung Joo, Sue Shin, Chan-Wook Park, Taesung Park, Joong Shin Park

Clinical and Molecular Hepatology.2022; 28(1): 105. CrossRef

Toward More Comprehensive Homologous Recombination Deficiency Assays in Ovarian Cancer Part 2: Medical Perspectives

Stanislas Quesada, Michel Fabbro, Jérôme Solassol

Construction and validation of a transcription factors-based prognostic signature for ovarian cancer

Journal of Ovarian Research.2022;[Epub] CrossRef

Predicting preterm birth through vaginal microbiota, cervical length, and WBC using a machine learning model

Sunwha Park, Jeongsup Moon, Nayeon Kang, Young-Han Kim, Young-Ah You, Eunjin Kwon, AbuZar Ansari, Young Min Hur, Taesung Park, Young Ju Kim

Frontiers in Microbiology.2022;[Epub] CrossRef

Prognostic nomogram that predicts progression-free survival and overall survival of patients with ovarian clear cell carcinoma

Recent Advances and Future Directions of Diagnostic and Prognostic Prediction Models in Ovarian Cancer

Journal of Shanghai Jiaotong University (Science).2021; 26(1): 10. CrossRef

Sphingolipids as multifaceted mediators in ovarian cancer

MelissaR Pitman, Martin K. Oehler, Stuart M. Pitson

Cellular Signalling.2021; 81: 109949. CrossRef

Development and validation for prognostic nomogram of epithelial ovarian cancer recurrence based on circulating tumor cells and epithelial–mesenchymal transition

Jiani Yang, Jun Ma, Yue Jin, Shanshan Cheng, Shan Huang, Nan Zhang, Yu Wang

Prediction Models for the Clinical Severity of Patients With COVID-19 in Korea: Retrospective Multicenter Cohort Study

Bumjo Oh, Suhyun Hwangbo, Taeyeong Jung, Kyungha Min, Chanhee Lee, Catherine Apio, Hyejin Lee, Seungyeoun Lee, Min Kyong Moon, Shin-Woo Kim, Taesung Park

Journal of Medical Internet Research.2021; 23(4): e25852. CrossRef

Development of Machine Learning Models to Predict Platinum Sensitivity of High-Grade Serous Ovarian Carcinoma

Suhyun Hwangbo, Se Ik Kim, Ju-Hyun Kim, Kyung Jin Eoh, Chanhee Lee, Young Tae Kim, Dae-Shik Suh, Taesung Park, Yong Sang Song

M2 Macrophage-Based Prognostic Nomogram for Gastric Cancer After Surgical Resection

Jianwen Hu, Yongchen Ma, Ju Ma, Yanpeng Yang, Yingze Ning, Jing Zhu, Pengyuan Wang, Guowei Chen, Yucun Liu

Prognosis for intrahepatic cholangiocarcinoma patients treated with postoperative adjuvant transcatheter hepatic artery chemoembolization

Ji-Bin Liu, Kai-Jian Chu, Chang-Chun Ling, Ting-Miao Wu, Hui-Min Wang, Yi Shi, Zhi-Zhen Li, Jing-Han Wang, Zhi-Jun Wu, Xiao-Qing Jiang, Gao-Ren Wang, Yu-Shui Ma, Da Fu

Current Problems in Cancer.2020; 44(6): 100612. CrossRef

Can we predict who lives long with ovarian cancer?