Clinical characteristics and prognostic inflection points among long-term survivors of advanced epithelial ovarian cancer

2017 ◽  
Vol 139 (3) ◽  
pp. 352-357 ◽  
Author(s):  
Joo-Hyuk Son ◽  
Tae-Wook Kong ◽  
Jiheum Paek ◽  
Kwan-Heup Song ◽  
Suk-Joon Chang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Clinical Characteristics ◽  
Inflection Points ◽  
Advanced Epithelial Ovarian Cancer ◽  
Long Term Survivors

Clinical features of long-term survivors of recurrent epithelial ovarian cancer

2014 ◽  
Vol 20 (1) ◽  
pp. 143-149 ◽  
Author(s):  
Haruko Iwase ◽  
Toshio Takada ◽  
Chiaki Iitsuka ◽  
Hidetaka Nomura ◽  
Akiko Abe ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Clinical Features ◽  
Long Term Survivors

scholarly journals Characteristics of Long-Term Survivors of Epithelial Ovarian Cancer

2015 ◽  
Vol 126 (3) ◽  
pp. 491-497 ◽  
Author(s):  
Rosemary D. Cress ◽  
Yingjia S. Chen ◽  
Cyllene R. Morris ◽  
Megan Petersen ◽  
Gary S. Leiserowitz
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Long Term Survivors

scholarly journals Long-Term Survival Among Histological Subtypes in Advanced Epithelial Ovarian Cancer: Population-Based Study Using the Surveillance, Epidemiology, and End Results Database (Preprint)

2020 ◽  
Author(s):  
Shi-Ping Yang ◽  
Hui-Luan Su ◽  
Xiu-Bei Chen ◽  
Li Hua ◽  
Jian-Xian Chen ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Epithelial Ovarian Cancer ◽  
Clear Cell ◽  
Histological Subtypes ◽  
Cancer Specific Survival ◽  
Term Survival ◽  
Primary Ovarian Cancer ◽  
Advanced Epithelial Ovarian Cancer

BACKGROUND Actual long-term survival rates for advanced epithelial ovarian cancer (EOC) are rarely reported. OBJECTIVE This study aimed to assess the role of histological subtypes in predicting the prognosis among long-term survivors (≥5 years) of advanced EOC. METHODS We performed a retrospective analysis of data among patients with stage III-IV EOC diagnosed from 2000 to 2014 using the Surveillance, Epidemiology, and End Results cancer data of the United States. We used the chi-square test, Kaplan–Meier analysis, and multivariate Cox proportional hazards model for the analyses. RESULTS We included 8050 patients in this study, including 6929 (86.1%), 743 (9.2%), 237 (2.9%), and 141 (1.8%) patients with serous, endometrioid, clear cell, and mucinous tumors, respectively. With a median follow-up of 91 months, the most common cause of death was primary ovarian cancer (80.3%), followed by other cancers (8.1%), other causes of death (7.3%), cardiac-related death (3.2%), and nonmalignant pulmonary disease (3.2%). Patients with the serous subtype were more likely to die from primary ovarian cancer, and patients with the mucinous subtype were more likely to die from other cancers and cardiac-related disease. Multivariate Cox analysis showed that patients with endometrioid (hazard ratio [HR] 0.534, <i>P</i>&lt;.001), mucinous (HR 0.454, <i>P</i>&lt;.001), and clear cell (HR 0.563, <i>P</i>&lt;.001) subtypes showed better ovarian cancer-specific survival than those with the serous subtype. Similar results were found regarding overall survival. However, ovarian cancer–specific survival and overall survival were comparable among those with endometrioid, clear cell, and mucinous tumors. CONCLUSIONS Ovarian cancer remains the primary cause of death in long-term ovarian cancer survivors. Moreover, the probability of death was significantly different among those with different histological subtypes. It is important for clinicians to individualize the surveillance program for long-term ovarian cancer survivors.

scholarly journals Long-Term Survival Among Histological Subtypes in Advanced Epithelial Ovarian Cancer: Population-Based Study Using the Surveillance, Epidemiology, and End Results Database

10.2196/25976 ◽  
2021 ◽  
Vol 7 (11) ◽  
pp. e25976
Author(s):  
Shi-Ping Yang ◽  
Hui-Luan Su ◽  
Xiu-Bei Chen ◽  
Li Hua ◽  
Jian-Xian Chen ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Epithelial Ovarian Cancer ◽  
Clear Cell ◽  
Histological Subtypes ◽  
Cancer Specific Survival ◽  
Term Survival ◽  
Primary Ovarian Cancer ◽  
Advanced Epithelial Ovarian Cancer

Background Actual long-term survival rates for advanced epithelial ovarian cancer (EOC) are rarely reported. Objective This study aimed to assess the role of histological subtypes in predicting the prognosis among long-term survivors (≥5 years) of advanced EOC. Methods We performed a retrospective analysis of data among patients with stage III-IV EOC diagnosed from 2000 to 2014 using the Surveillance, Epidemiology, and End Results cancer data of the United States. We used the chi-square test, Kaplan–Meier analysis, and multivariate Cox proportional hazards model for the analyses. Results We included 8050 patients in this study, including 6929 (86.1%), 743 (9.2%), 237 (2.9%), and 141 (1.8%) patients with serous, endometrioid, clear cell, and mucinous tumors, respectively. With a median follow-up of 91 months, the most common cause of death was primary ovarian cancer (80.3%), followed by other cancers (8.1%), other causes of death (7.3%), cardiac-related death (3.2%), and nonmalignant pulmonary disease (3.2%). Patients with the serous subtype were more likely to die from primary ovarian cancer, and patients with the mucinous subtype were more likely to die from other cancers and cardiac-related disease. Multivariate Cox analysis showed that patients with endometrioid (hazard ratio [HR] 0.534, P<.001), mucinous (HR 0.454, P<.001), and clear cell (HR 0.563, P<.001) subtypes showed better ovarian cancer-specific survival than those with the serous subtype. Similar results were found regarding overall survival. However, ovarian cancer–specific survival and overall survival were comparable among those with endometrioid, clear cell, and mucinous tumors. Conclusions Ovarian cancer remains the primary cause of death in long-term ovarian cancer survivors. Moreover, the probability of death was significantly different among those with different histological subtypes. It is important for clinicians to individualize the surveillance program for long-term ovarian cancer survivors.

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