Real-World Study of the Incidence, Risk Factors, and Prognostic Factors Associated with Bone Metastases in Women with Uterine Cervical Cancer Using Surveillance, Epidemiology, and End Results (SEER) Data Analysis

Zhang, Yiran; Guo, Xu; Wang, Guowen; Ma, Wenjuan; Liu, Ruoyan; Han, Xiuxin; Li, Lili; Baklaushev, V. P.; Bryukhovetskiy, Andrey; Wang, Wan; Wang, Xin; Zhang, Chao

doi:10.12659/msm.912071

Cited by 35 publications

(29 citation statements)

References 26 publications

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“…Previous studies had shown that lung metastases can signi cantly worsen the prognosis of patients. 19 .The median survival time for diagnosis of distant disease is 12 months 4 In this study, the 3-year and 5-year survival rates for 411 patients with newly diagnosed lung metastases were 33.8% and 22.8%, respectively, similar to other studies 20 21 .It was found that primary site surgery treatment and chemotherapy can improve overall survival. Therefore, for patients with ovarian cancer with lung metastases, active surgery and chemotherapy are encouraged.…”

Section: Discussionsupporting

confidence: 83%

Development and Validation of Nomograms to Predict Lung Metastases in Patients with Ovarian Cancer: A Large Cohort Study

Yuan

Guo

Wang

et al. 2020

Preprint

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Background Lung metastasis, an independent risk factor affecting the prognosis of patients with ovarian cancer, is associated with poor survival. We tried to develop and validate a nomogram to predict the risk of lung metastases in newly diagnosed patients with ovarian cancer.Methods Patients diagnosed with ovarian cancer from the surveillance, epidemiology and final results (SEER) database between 2010 and 2015 were retrospectively collected. The model nomogram was built based on logistic regression. The consistency index (C-index) was used to evaluate the discernment of the lung metastasis nomogram. Calibration plots was drawn to analyze the consistency between the observed probability and predicted probability of lung metastases in patients with ovarian cancer. The Kaplan-Meier method was used to estimate the overall survival rate, and the influencing factors were included in the multivariate Cox regression (P<0.05) to analyze the independent prognostic factors of lung metastases.Results A total of 16,059 eligible patients were randomly divided into training (n = 11242) and validation cohort (n = 4817). AJCC T, N stage, bone metastases, brain metastases and liver metastases were evaluated as predictors of lung metastases. Finally, a nomogram was constructed. The nomogram based on independent predictors was well calibrated and showed good discriminative ability. The C index is 0.761 (0.736-0.787) for the training cohort and 0.757（0.718-0.795）for the validation cohort. The overall survival rate of ovarian cancer patients with lung metastases was reduced. Mixed histological types, chemotherapy and primary site surgery were factors that affect the overall survival of ovarian cancer patients with lung metastases.Conclusion: The clinical prediction model had high accuracy and can be used to predict the lung metastasis risk of newly diagnosed patients with ovarian cancer, which can guide the treatment of patients with lung metastases.

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Section: Discussionsupporting

confidence: 83%

Development and Validation of Nomograms to Predict Lung Metastases in Patients with Ovarian Cancer: A Large Cohort Study

Yuan

Guo

Wang

et al. 2020

Preprint

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“…Such distant metastases were further reported in the studies with the limited samples [7,8]. Bone metastases [9,10] and lung metastases [11] were also descripted based on the relatively large population. As to the effect of distant metastases on the survival of patients, around 13% of UCC patients were diagnosed at an advanced stage, leading to the decreased survival [12].…”

Section: Ivyspringmentioning

confidence: 77%

Prognosis for different patterns of distant metastases in patients with uterine cervical cancer: a population-based analysis

Zhang¹,

Guo²,

Zhou³

et al. 2020

J. Cancer

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Background: Uterine cervical cancer (UCC) is a common malignant tumor in women. We conducted this work to provide a though description on the patterns of distant metastases and to investigate the relevant factors for prognosis of UCC patients based on a large population. Patients and methods: UCC patients with FIGO stage IVB, being the study group, were identified from the Surveillance, Epidemiology, and End Result (SEER) database from 2010 to 2016. UCC patients with same inclusion criteria, being validation group, were identified from Tianjin First Central Hospital from 2004 to 2017. Patterns of distant metastases were described according to the number of metastatic sites. Survival of different patterns were calculated and prognostic factors were investigated by Cox hazard regression analysis. Results: Distant metastases were recorded in 1448 UCC patients among whom 295 patients (30.8%) developed metastases in two or more organs. Compared with the median OS of 8 (95%CI, 7.07-8.93) months in the patients with the single site, worse survival of 5 (95%CI, 4.29-5.71) months was noticed in the patients with multiple metastases. Age ≥ 65 years, black race, higher grade, higher T stage and more metastatic sites were proved to be the prognostic factors for all the patients in the advanced stage and the results were partly validated in the validation cohort. Moreover, black race and higher T-stage for the patients with the single metastatic sites and age ≥ 65, uninsured status, surgical treatment and metastatic pattern for the patients with two metastatic sites were prognostic factors. No independent factor was found in patients with three or more metastases. Conclusion: Around 70% of the patients suffered one site distant metastasis in UCC patients with IVB stage while 30% with multiple metastases and a significantly reduced survival. Different survivals and prognostic factors were noticed for different patterns of distant metastases.

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“…Bone metastasis rarely occurs in cervical cancer, with an incidence of 0.8‒2.3%. 6 , 15 , 16 Among them, spinal metastasis is the most common (36.36%). 16 Bone metastases from ovarian malignant tumors are rare in the clinic, and reports show that the incidence of ovarian cancer bone metastases is only 0.1‒0.6%.…”

Section: Discussionmentioning

confidence: 99%

<p>Clinical Characteristics and Prognostic Analysis of Gynecologic Cancer with Spinal Metastases: A Single-Center Retrospective Study</p>

Liu¹,

Zhou²,

Song³

et al. 2020

CMAR

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Objective The purpose of this study is to provide key information on the clinical characteristics, surgical treatment, and potential prognostic factors in patients with metastatic spinal gynecologic cancer (MSGC), with a view to their application in clinical practice. Methods From January 2010 to January 2020, we performed a retrospective analysis of 14 patients with MSGC who underwent surgical treatment in a single center. Surgical treatment was performed on 14 patients, and a total of 14 operations were performed. The survival time of patients after spinal surgery was analyzed by Kaplan–Meier and Cox regression analysis. Results The average age of patients was 51.9 years (range 25‒70). The average time from initial surgery to the discovery of spinal metastasis was 60.3 months (2‒180), and the average follow-up time was 19.2 months (2‒55). Spinal tumor progression was found in 9 patients, and 12 patients (85.7%) died during follow-up. In univariate analysis, extraosseous visceral metastasis (p = 0.024), revised Tokuhashi stage (p = 0.025), Tomita stage (p = 0.005), and number of spinal lesions (p = 0.038) were associated with overall survival (OS). Extraosseous visceral metastasis (p = 0.026), revised Tokuhashi stage (p = 0.014), Tomita stage (p = 0.001), and gynecological cancer type (p = 0.039) were associated with progression-free survival. Conclusion Surgical treatment is an effective treatment for MSGC and relieves pain, restores function and rebuilds stability. Based on our single-center experience, extraosseous visceral metastasis, revised Tokuhashi stage, Tomita stage, and gynecological cancer type may be potential prognostic factors for OS.

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Real-World Study of the Incidence, Risk Factors, and Prognostic Factors Associated with Bone Metastases in Women with Uterine Cervical Cancer Using Surveillance, Epidemiology, and End Results (SEER) Data Analysis

Cited by 35 publications

References 26 publications

Development and Validation of Nomograms to Predict Lung Metastases in Patients with Ovarian Cancer: A Large Cohort Study

Development and Validation of Nomograms to Predict Lung Metastases in Patients with Ovarian Cancer: A Large Cohort Study

Prognosis for different patterns of distant metastases in patients with uterine cervical cancer: a population-based analysis

<p>Clinical Characteristics and Prognostic Analysis of Gynecologic Cancer with Spinal Metastases: A Single-Center Retrospective Study</p>

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