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Significance of uterine corpus tumor invasion in early-stage cervical cancer.

ABSTRACT: OBJECTIVE:To examine characteristics and survival outcomes of women with surgically-treated cervical cancer exhibiting uterine corpus tumor invasion. METHODS:We utilized The Surveillance, Epidemiology, and End Results Program to identify cervical cancer patients who underwent hysterectomy between 1973 and 2003. Logistic regression models were used to identify risk factors for uterine corpus tumor invasion on multivariable analysis. Association of uterine corpus tumor invasion and cause-specific survival (CSS) from cervical cancer was examined with Cox proportional hazard regression models on multivariable analysis. RESULTS:We identified 837 (4.9%) cases of uterine corpus invasion and 16,237 (95.1%) cases of non-invasion. Median follow-up time was 14.0 years. There were 1642 deaths due to cervical cancer. Uterine corpus invasion was independently associated with older age, non-squamous histology, high-grade tumors, large tumor size, and nodal metastasis on multivariable analysis (all, P < 0.001). On univariable analysis, uterine corpus tumor invasion was significantly associated with decreased CSS compared to the non-invasion (5-year rates, 79.0% versus 94.5%, P < 0.001). After controlling for other significant prognostic factors, uterine corpus tumor invasion remained an independent prognostic factor for decreased CSS (adjusted-hazard ratio 1.45, 95% confidence interval 1.21-1.74). Among stage T1b cases (n = 6730), uterine corpus tumor invasion remained an independent prognostic factor for decreased CSS (adjusted-hazard ratio 1.95, 95%CI 1.47-2.60). Uterine corpus tumor invasion was significantly associated with decreased CSS in stage T1b1 disease (74.5% versus 90.7%, P < 0.001) and in stage T1b2 disease (67.0% versus 79.5%, P = 0.01). CONCLUSION:Uterine corpus tumor invasion is an independent prognostic factor for decreased survival of women with early-stage cervical cancer.

SUBMITTER: Matsuo K

PROVIDER: S-EPMC7521086 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Significance of uterine corpus tumor invasion in early-stage cervical cancer.

Matsuo K K Machida H H Blake E A EA Takiuchi T T Mikami M M Roman L D LD

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology 20170203 4

<h4>Objective</h4>To examine characteristics and survival outcomes of women with surgically-treated cervical cancer exhibiting uterine corpus tumor invasion.<h4>Methods</h4>We utilized The Surveillance, Epidemiology, and End Results Program to identify cervical cancer patients who underwent hysterectomy between 1973 and 2003. Logistic regression models were used to identify risk factors for uterine corpus tumor invasion on multivariable analysis. Association of uterine corpus tumor invasion and ...[more]

PMID: 28215507

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Project description:Background:Uterine corpus endometrial carcinoma (UCEC) is a clinically heterogeneous disease, and this heterogeneity is associated with tumor development, clinical characteristics, and prognostic outcomes. Mutant-allele tumor heterogeneity (MATH) is a novel, non-biased, quantitative measure to assess intra-tumor heterogeneity based on next-generation sequencing data. We aimed to explore the use of MATH as a measure for tumor heterogeneity and its prognostic role in UCEC patients. Methods:We calculated MATH scores from the available data of 560 UCEC patients from The Cancer Genome Atlas (TCGA) and investigated their correlations with clinical characteristics, genetic alterations, and overall survival. Predictive accuracy was quantified using the area under the receiver operating characteristic curve (AUC) and the index of concordance (C-index). Results:In total, 242 MATH scores were obtained from the UCEC cohort. MATH scores were significantly related to age, race, cancer type, clinical stage, histological grade, molecular type, targeted molecular therapy, and hormonal therapy. Furthermore, the genomic pattern on the basis of MATH scores showed that mutation rates of TP53 (tumor protein p53) and ARID1A (AT-rich interaction domain 1A) were independently associated with MATH scores. Correlation analysis revealed a significantly positive association of MATH scores with the fraction of somatic copy number alteration (SCNA). Importantly, a high MATH score was significantly associated with shorter overall survival [hazard ratio (HR), 2.342; 95% confidence interval (CI), 1.110-4.942]. Multivariate Cox regression combined with stratified analysis revealed that the MATH score is an independent prognostic factor in UCEC patients under 60 years old, and predictive quantification showed the MATH score had an AUC of 0.756 and a C-index of 0.845. Conclusions:Our results suggest that MATH, a practical and useful way to measure intra-tumor heterogeneity, may serve as a significant biomarker for the prognosis of patients with UCEC, enabling more accurate prediction of clinical outcomes.

Dataset Information

Significance of uterine corpus tumor invasion in early-stage cervical cancer.

Publications

Significance of uterine corpus tumor invasion in early-stage cervical cancer.

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