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1.
J Obstet Gynaecol ; 42(5): 1233-1238, 2022 Jul.
Article in English | MEDLINE | ID: mdl-34565276

ABSTRACT

The aim of this retrospective population-based study was to investigate the survival outcomes and prognostic factors of patients with the two cervical carcinomas. A cohort of patients diagnosed with papillary serous adenocarcinoma of the uterine cervix (PSAC) and papillary squamous cell carcinoma (PSCC) between 1973 and 2015 were drawn from the National Cancer Institute's Surveillance Epidemiology and End Results (SEER) database. Overall survival (OS) and cancer-specific survival (CSS) were estimated using the Kaplan-Meier method, and prognostic factors were assessed using Cox proportional hazards survival regression analysis. The 5-year and 10-year OS rates were 38.4 and 33.1% for PSAC and 64.6 and 50.8% for PSCC, respectively. The 2-year and 5-year CSS rates were 60.6 and 45.9% for PSAC and 79.6 and 69.0% for PSCC, respectively. Patients with PSCC survive longer than PSAC patients and have other well-described prognostic factors for improved survival rates, including an early cancer stage, a younger patient age and standardised surgery.Impact statementWhat is already known on this subject? Papillary serous adenocarcinoma of the uterine cervix (PSAC) and papillary squamous cell carcinoma (PSCC)are both very rare subtypes of cervical carcinomas.What do the results of this study add? This retrospective population-based analysis has evaluated the survival outcomes and prognostic indicators of patients with PSAC and PSCC.What the implications are of these findings for clinical practice and/or further research? Knowing the survival outcomes and prognostic indicators of PSAC and PSCC patients, we can better follow up patients.


Subject(s)
Carcinoma, Papillary , Carcinoma, Squamous Cell , Cystadenocarcinoma, Serous , Uterine Cervical Neoplasms , Carcinoma, Papillary/mortality , Carcinoma, Papillary/pathology , Carcinoma, Squamous Cell/mortality , Carcinoma, Squamous Cell/pathology , Cystadenocarcinoma, Serous/mortality , Cystadenocarcinoma, Serous/pathology , Female , Humans , Neoplasm Staging , Prognosis , Retrospective Studies , Survival Rate , Uterine Cervical Neoplasms/mortality , Uterine Cervical Neoplasms/pathology
2.
Med Sci Monit ; 25: 3869-3879, 2019 May 24.
Article in English | MEDLINE | ID: mdl-31125329

ABSTRACT

BACKGROUND Patients with primary breast cancer following primary ovarian cancer do not comprise a large clinical entity, and reports of the survival outcomes of this cohort are rare. The purpose of this retrospective population-based research was to investigate the survival outcomes of patients with primary breast cancer after primary ovarian cancer. MATERIAL AND METHODS A cohort of patients diagnosed with primary breast cancer following primary ovarian cancer between 1973 and 2014 was drawn from the National Cancer Institute's Surveillance Epidemiology and End Results (SEER) database. Cox proportional hazards survival regression analysis and Kaplan-Meier were applied to calculate overall survival (OS), cancer-specific survival (CSS), and independent predictors of CSS. RESULTS A total of 1455 patients with primary breast cancer following primary ovarian cancer were identified. The 5-year and 10-year OS rates for the entire cohort were 81.7% and 67.4%, respectively. The 5-year and 10-year CSS rates were 84.2% and 74.3% for ovarian cancer, and 76.0% and 67.8% for breast cancer, respectively. Multivariate analysis revealed that independent predictors of ovarian cancer CSS include age, cancer stage, diagnosis time, and histological subtype. CONCLUSIONS Patients diagnosed with breast cancer following ovarian cancer have better survival rates. Patients age, ovarian cancer stage, ovarian cancer histological type, and time of diagnose affect the survival rate.


Subject(s)
Breast Neoplasms/mortality , Ovarian Neoplasms/mortality , Adult , Aged , Aged, 80 and over , Breast Neoplasms/pathology , Female , Humans , Kaplan-Meier Estimate , Middle Aged , Multivariate Analysis , Neoplasm Staging , Ovarian Neoplasms/pathology , Retrospective Studies , SEER Program , Survival Analysis , Survival Rate
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