&lt;p&gt;Cervical cancer in women aged 25 years or younger: a retrospective study&lt;/p&gt;

Kong, Yujia; Zong, Liju; Yang, Junjun; Wu, Ming; Xiang, Yang

doi:10.2147/cmar.s195098

Cited by 29 publications

(29 citation statements)

References 41 publications

(55 reference statements)

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“…The median age of the 50 patients was 40.5 years (range, 14-67 years); none had a history of exposure to DES. Eight patients were 25 years of age or younger, among whom 5 from the Peking Union Medical College Hospital cohort have been reported previously [19]. Two patients had congenital malformations of the lower genital tract and were described in our previous report [20].…”

Section: Clinicopathologic Features and Survivalmentioning

confidence: 92%

Expression and Significance of Immune Checkpoints in Clear Cell Carcinoma of the Uterine Cervix

Zong

Zhang

Zhou

et al. 2020

Journal of Immunology Research

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The purpose of this study was to investigate the expression levels of the immune checkpoint proteins, programmed cell death-ligand 1 (PD-L1), B7-H3, B7-H4, and V-domain Ig suppressor of T cell activation (VISTA), as well as the significance thereof, in clear cell carcinoma (CCC) of the cervix (a rare histological subtype of cervical cancer). We also compared the expression statuses of these biomarkers in cervical CCCs with those in cervical squamous cell carcinomas (SCCs). We evaluated the expression of PD-L1, B7-H3, B7-H4, and VISTA in 50 cervical CCCs and 100 SCCs using immunohistochemical staining and investigated the associations between these markers, clinicopathologic features, and survival in patients with CCCs. Of the cervical CCC samples examined, 22%, 16%, 32%, and 34% were positive for PD-L1, B7-H3, B7-H4, and VISTA, respectively. Nineteen samples (38%) were negative for all 4 of these markers, whereas 31 (62%) expressed at least 1 marker. None of these markers was associated with the investigated clinicopathologic variables or patient survival. PD-L1, B7-H3, and VISTA were observed significantly more frequently in SCCs than in CCCs of the cervix. Our study confirmed the expression of immune checkpoint proteins in cervical CCCs and indicated their nonredundant and complementary roles. As such, our data suggest that monotherapeutic immune checkpoint blockade may not be sufficiently effective in patients with cervical CCC.

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Section: Clinicopathologic Features and Survivalmentioning

confidence: 92%

Expression and Significance of Immune Checkpoints in Clear Cell Carcinoma of the Uterine Cervix

Zong

Zhang

Zhou

et al. 2020

Journal of Immunology Research

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“…It was estimated that there were approximately 311,000 deaths owing to cervical cancer worldwide, which ranked only following the breast cancer [2]. And the proportion of cervical cancer in young women is increasing, which will shorten life expectancy [3]. Tough there are several clinical treatments on cervical cancer, the prognosis of advanced cervical cancer is still poor.…”

Section: Introductionmentioning

confidence: 99%

Calculating the overall survival probability in patients with cervical cancer: a nomogram and decision curve analysis-based study

et al. 2020

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Background: Cervical cancer has long been a common malignance troubling women. However, there are few studies developing nomogram with comprehensive factors for the prognosis of cervical cancer. Hence, we aimed to build a nomogram to calculate the overall survival (OS) probability in patients with cervical cancer. Methods: Data of 9876 female patients in SEER database and diagnosed as cervical cancer during 2010-2015, was retrospectively analyzed. Univariate and multivariate Cox proportional hazard regression model were applied to select predicted factors and a nomogram was developed to visualize the prediction model. The nomogram was compared with the FIGO stage prediction model. Harrell's C-index, receiver operating curve, calibration plot and decision curve analysis were used to assess the discrimination, accuracy, calibration and clinical utility of the prediction models. Result: Eleven independent prognostic variables, including age at diagnosis, race, marital status at diagnosis, grade, histology, tumor size, FIGO stage, primary site surgery, regional lymph node surgery, radiotherapy and chemotherapy, were used to build the nomogram. The C-index of the nomogram was 0.826 (95% CI: 0.818 to 0.834), which was better than that of the FIGO stage prediction model (C-index: 0.785, 95% CI: 0.776 to 0.793). Calibration plot of the nomogram was well fitted in 3-year overall OS prediction, but overfitting in 5-year OS prediction. The net benefit of the nomogram was higher than the FIGO prediction model. Conclusion: A clinical useful nomogram for calculating the overall survival probability in cervical cancer patients was developed. It performed better than the FIGO stage prediction model and could help clinicians to choose optimal treatments and precisely predict prognosis in clinical care and research.

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“…Besides, the physiological changes resulting from aging in the cervix may alter HPV oncogenic subtypes in older women [ 14 ]. However, the studies [ 15 , 16 ] in the Asian population indicate that age does not interfere with prognosis in women with cervical cancer. In this context, in this study, we emphasise that Yellow women had the lowest mortality rate in Brazil.…”

Section: Discussionmentioning

confidence: 99%

Mortality from cervical cancer in Brazil: an ecological epidemiologic study of a 22-year analysis

Dantas

Costa

Silva

et al. 2020

ecancer

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Mortality data obtained from the mortality information system (SIM) identified a total of 103,094 women with cervical cancer in Brazil. However, associations between mortality and sociodemographic variables in these patients are not fully understood. Therefore, this study aimed to analyse the sociodemographic factors (geographic region, age, race and marital status) that predict cervical cancer mortality in Brazil between 1996 and 2017. A descriptive, analytic and retrospective study was carried out using secondary data on deaths from cervical cancer recorded in the SIM-DATASUS. Deaths reported between 1996 and 2017 in the health information system and classified by the International Classification of Diseases-10 were included. Sociodemographic factors (geographic regions, age, sex and race) were subjected to inferential analysis for a relation with mortality. Mortality increases during the aging process after the third decade of life. However, single women who die are usually diagnosed with cancer in the early stage of the disease. The mortality rate is higher in Black women and women living in the North, South and Southeast regions of Brazil. Yellow women have a lower mortality in the country. Besides, each region has specific characteristics in relation to race and marital status. White women who died had some form of stable union during life, whereas the other races were more associated with single marital status. Thus, the sociodemographic factors that predict mortality in women with cervical cancer in Brazil were identified and can be used to guide the public health policies.

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<p>Cervical cancer in women aged 25 years or younger: a retrospective study</p>

Cited by 29 publications

References 41 publications

Expression and Significance of Immune Checkpoints in Clear Cell Carcinoma of the Uterine Cervix

Expression and Significance of Immune Checkpoints in Clear Cell Carcinoma of the Uterine Cervix

Calculating the overall survival probability in patients with cervical cancer: a nomogram and decision curve analysis-based study

Mortality from cervical cancer in Brazil: an ecological epidemiologic study of a 22-year analysis

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