scholarly journals Serum Level of microRNA-429 is as a Promising Diagnostic Biomarker for Cervical Cancer Patients

2020 ◽  
Author(s):  
Keqian Zhang ◽  
Tianqi Mao ◽  
Zhicheng He ◽  
Xiaojiao Wu ◽  
Yu Peng ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Patients ◽  
Clinical Characteristics ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Clinicopathological Parameters ◽  
Circulating Microrna ◽  
Healthy Controls ◽  
Diagnostic Biomarker ◽  
Diagnostic Significance

Abstract Backgrounds: Serum microRNAs (miRNAs) are a novel class of diagnostic biomarkers for human cancers. However, the clinical relevance of circulating microRNA-429 (miR-429) in cervical cancer patients remains unclear. The purpose of this study was to investigate serum miR-429 levels in cervical cancer patients, as well as its association with clinical characteristics and diagnostic value.Methods: Serum miR-429 expression was investigated in 113 cervical cancer patients and 107 healthy normal controls by quantitative real-time PCR (qRT-PCR). Chi-square test was applied to evaluate the correlation between miR-429 expression and clinicopathological parameters. Receiver operating characteristic (ROC) curves were constructed to assess the diagnostic significance of serum miR-429 in cervical cancer.Results: Serum miR-429 expression was significantly down-regulated in cervical cancer compared with healthy controls (P=0.000). In addition, serum miR-429 level was correlated with differentiation (P=0.031), FIGO stage (P=0.030), and lymph node metastasis (P=0.045). ROC curves demonstrated that serum miR-429 expression could distinguish cervical cancer patients from healthy controls with the sensitivity of 81.4% and the specificity of 69.2%. Additionally, the area under the curve (AUC) was 0.816 and the cut-off value was 0.825.Conclusion: MiR-429 is down-regulated in cervical cancer and associated with aggressive clinical characteristics. MiR-429 may be a potential diagnostic biomarker for cervical cancer.

An MRI-based radiomics signature and clinical characteristics for survival prediction in early-stage cervical cancer

2021 ◽  
Author(s):  
Ru-ru Zheng ◽  
Meng-ting Cai ◽  
Li Lan ◽  
Xiao Wan Huang ◽  
Yun Jun Yang ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Patients ◽  
Clinical Characteristics ◽  
Early Stage ◽  
Disease Free Survival ◽  
Clinicopathological Parameters ◽  
Rank Test ◽  
Survival Prediction ◽  
Early Stage Cervical Cancer ◽  
Radiomics Signature

Objectives: To investigate the prognostic role of Magnetic Resonance Imaging (MRI) based radiomics signature and clinical characteristics for overall survival (OS) and disease-free survival (DFS) in the early-stage cervical cancer. Methods: A total of 207 cervical cancer patients (training cohort: n = 144; validation cohort: n = 63) were enrolled. 792 radiomics features were extracted from T2-weighted (T2W) and diffusion weighted imaging (DWI). 19 clinicopathological parameters were collected from the electronic medical record system. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to select significant features to construct prognostic model for OS and DFS. Kaplan-Meier (KM) analysis and log-rank test were applied to identify the association between the radiomics score (Rad-score) and survival time. Nomogram discrimination and calibration were evaluated as well. Associations between radiomics features and clinical parameters were investigated by heatmaps. Results: A radiomics signature derived from joint T2W and DWI images showed better prognostic performance than that from either T2W or DWI image alone. Higher Rad-score was associated with worse OS (p < 0.05) and DFS (p < 0.05) in the training and validation set. The joint models outperformed both radiomics model and clinicopathological model alone for 3 year OS and DFS estimation. The calibration curves reached an agreement. Heatmap analysis demonstrated significant associations between radiomics features and clinical characteristics. Conclusions: The MRI-based radiomics nomogram showed a good performance on survival prediction for the OS and DFS in the early-stage cervical cancer. The prediction of the prognostic models could be improved by combining with clinical characteristics, suggesting its potential for clinical application. Advances in knowledge: This is the first study to build the radiomics-derived models based on T2W and DWI images for the prediction of survival outcomes on the early stage cervical cancer patients, and further construct a combined risk scoring system incorporating the clinical features.

scholarly journals Comparison of predictive performance for toxicity by accumulative dose of DVH parameter addition and DIR addition for cervical cancer patients

2020 ◽  
Vol 62 (1) ◽  
pp. 155-162
Author(s):  
Yuya Miyasaka ◽  
Noriyuki Kadoya ◽  
Rei Umezawa ◽  
Yoshiki Takayama ◽  
Kengo Ito ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Patients ◽  
Operating Characteristic ◽  
External Beam Radiotherapy ◽  
Area Under The Curve ◽  
Predictive Performance ◽  
Roc Curves ◽  
Dose Volume ◽  
Gi Toxicity ◽  
The Difference

Abstract We compared predictive performance between dose volume histogram (DVH) parameter addition and deformable image registration (DIR) addition for gastrointestinal (GI) toxicity in cervical cancer patients. A total of 59 patients receiving brachytherapy and external beam radiotherapy were analyzed retrospectively. The accumulative dose was calculated by three methods: conventional DVH parameter addition, full DIR addition and partial DIR addition. ${D}_{2{cm}^3}$, ${D}_{1{cm}^3}$ and ${D}_{0.1{cm}^3}$ (minimum doses to the most exposed 2 cm3, 1cm3 and 0.1 cm3 of tissue, respectively) of the rectum and sigmoid were calculated by each method. V50, V60 and V70 Gy (volume irradiated over 50, 60 and 70 Gy, respectively) were calculated in full DIR addition. The DVH parameters were compared between toxicity (≥grade1) and non-toxicity groups. The area under the curve (AUC) of the receiver operating characteristic (ROC) curves were compared to evaluate the predictive performance of each method. The differences between toxicity and non-toxicity groups in ${D}_{2{cm}^3}$ were 0.2, 5.7 and 3.1 Gy for the DVH parameter addition, full DIR addition and partial DIR addition, respectively. The AUCs of ${D}_{2{cm}^3}$ were 0.51, 0.67 and 0.57 for DVH parameter addition, full DIR addition and partial DIR addition, respectively. In full DIR addition, the difference in dose between toxicity and non-toxicity was the largest and AUC was the highest. AUCs of V50, V60 and V70 Gy were 0.51, 0.63 and 0.62, respectively, and V60 and V70 were high values close to the value of ${D}_{2{cm}^3}$ of the full DIR addition. Our results suggested that the full DIR addition may have the potential to predict toxicity more accurately than the conventional DVH parameter addition, and that it could be more effective to accumulate to all pelvic irradiation by DIR.

Combining tumor size and diffusion-weighted imaging to diagnose normal-sized metastatic pelvic lymph nodes in cervical cancers

2018 ◽  
Vol 60 (3) ◽  
pp. 388-395 ◽  
Author(s):  
Jiacheng Song ◽  
Qiming Hu ◽  
Junwen Huang ◽  
Zhanlong Ma ◽  
Ting Chen
Keyword(s):  
Cervical Cancer ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Tumor Size ◽  
Diffusion Weighted Imaging ◽  
Area Under The Curve ◽  
Adc Value ◽  
Cervical Cancers ◽  
Pelvic Lymph Nodes ◽  
Diffusion Weighted

Background Detecting normal-sized metastatic pelvic lymph nodes (LNs) in cervical cancers, although difficult, is of vital importance. Purpose To investigate the value of diffusion-weighted-imaging (DWI), tumor size, and LN shape in predicting metastases in normal-sized pelvic LNs in cervical cancers. Material and Methods Pathology confirmed cervical cancer patients with complete magnetic resonance imaging (MRI) were documented from 2011 to 2016. A total of 121 cervical cancer patients showed small pelvic LNs (<5 mm) and 92 showed normal-sized (5–10 mm) pelvic LNs (39 patients with 55 nodes that were histologically metastatic, 53 patients with 71 nodes that were histologically benign). Preoperative clinical and MRI variables were analyzed and compared between the metastatic and benign groups. Results LN apparent diffusion coefficient (ADC) values and short-to-long axis ratios were not significantly different between metastatic and benign normal-sized LNs (0.98 ± 0.15 × 10−3 vs. 1.00 ± 0.18 × 10−3 mm2/s, P = 0.45; 0.65 ± 0.16 vs. 0.64 ± 0.16, P = 0.60, respectively). Tumor ADC value of the metastatic LNs was significantly lower than the benign LNs (0.98 ± 0.12 × 10−3 vs. 1.07 ± 0.21 × 10−3 mm2/s, P = 0.01). Tumor size (height) was significantly higher in the metastatic LN group (27.59 ± 9.18 mm vs. 21.36 ± 10.40 mm, P < 0.00). Spiculated border rate was higher in the metastatic LN group (9 [16.4%] vs. 3 [4.2%], P = 0.03). Tumor (height) combined with tumor ADC value showed the highest area under the curve of 0.702 ( P < 0.00) in detecting metastatic pelvic nodes, with a sensitivity of 59.1% and specificity of 78.8%. Conclusions Tumor DWI combined with tumor height were superior to LN DWI and shape in predicting the metastatic state of normal-sized pelvic LNs in cervical cancer patients.

scholarly journals Predictive factors of posttreatment fracture by definitive radiotherapy for uterine cervical cancer

2020 ◽  
Author(s):  
Kazuki Ishikawa ◽  
Tsuneo Yamashiro ◽  
Takuro Ariga ◽  
Takafumi Toita ◽  
Wataru Kudaka ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Cervical Cancer ◽  
Multivariate Analysis ◽  
Radiation Therapy ◽  
Cancer Patients ◽  
Clinical Characteristics ◽  
Univariate Analysis ◽  
Uterine Cervical Cancer

Abstract Purpose Fractures are known to shorten life expectancy and worsen the quality of life. The risk of fractures after radiation therapy in cervical cancer patients is known to be multifactorial. In this study, we examined risk factors for fractures in cervical cancer patients, especially by evaluating bone densities and DVH parameters for fractured bones. Materials and Methods For 42 patients, clinical characteristics, pretreatment CT bone densities, and radiation dose were compared between patients with and without fractures. Results Posttreatment fractures occurred in 25 bones among ten patients. Pretreatment CT bone densities were significantly lower in patients with fractures (P < 0.05–0.01 across sites, except for the ilium and the ischium). Although DVH parameters were also significantly associated with fractures in univariate analysis, only CT densities were significantly associated with fractures in multivariate analysis. Conclusion Pretreatment CT densities of spinal and pelvic bones, which may reflect osteoporosis, have a significant impact on the risk for posttreatment fractures.

scholarly journals Gut microbial diversity and genus-level differences identified in cervical cancer patients versus healthy controls

2019 ◽  
Vol 155 (2) ◽  
pp. 237-244 ◽  
Author(s):  
Travis T. Sims ◽  
Lauren E. Colbert ◽  
Jiali Zheng ◽  
Andrea Y. Delgado Medrano ◽  
Kristi L. Hoffman ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Microbial Diversity ◽  
Cancer Patients ◽  
Healthy Controls ◽  
Genus Level

Diagnostic and prognostic values of circular RNAs for lung cancer: a meta-analysis

2020 ◽  
pp. postgradmedj-2019-137178
Author(s):  
Qian Yang ◽  
Lizhen Chen ◽  
Li Yang ◽  
Yuanshuai Huang
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
Cochrane Library ◽  
Clinicopathological Parameters ◽  
Circular Rnas ◽  
Lung Cancer Patients ◽  
Diagnostic Values

Circular RNAs (circRNAs) may serve as potential biomarkers for patients with lung cancer. The aim of this meta-analysis was to analyse the diagnostic, prognostic and clinicopathological values of circRNAs in lung cancer patients. A systematic search of PubMed, Embase, Web of Science, Scopus and the Cochrane Library databases was performed for relevant articles from inception to 29 January 2020. Pooled parameters including sensitivity, specificity and area under the curve (AUC) were used to assess the diagnostic performance, HRs and 95% CIs were used to evaluate overall survival (OS) and ORs were used to estimate clinicopathological parameters. 52 studies from 45 articles were enrolled in this study, including 17 on diagnosis and 35 on prognosis. For diagnostic values, circRNAs could discriminate lung cancer patients from the controls, with AUC of 0.83 (95% CI: 0.79 to 0.86), a relatively high sensitivity of 0.77 (95% CI: 0.73 to 0.81) and specificity of 0.75 (95% CI: 0.71 to 0.79). For prognostic significances, overexpression of 23 upregulated circRNAs was relevant to a poor prognosis (OS: HR=2.21, 95% CI: 1.96 to 2.49, p<0.001), and overexpression of 9 downregulated circRNAs was correlated with a favourable prognosis (OS: HR=0.62, 95% CI: 0.53 to 0.73, p<0.001). As for clinicopathological parameters, high expression of 23 upregulated circRNAs was associated with unfavourable clinicopathological features while 9 downregulated circRNAs proved the contrary. In conclusion, this study confirmed that circRNAs might serve as important biomarkers for diagnostic and prognostic values of lung cancer.

scholarly journals Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

2020 ◽  
Author(s):  
Bing Liu ◽  
Wan-Ling Ma ◽  
Guang-Wen Zhang ◽  
Zhen Sun ◽  
Meng-Qi Wei ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Diffusion Coefficient ◽  
Treatment Response ◽  
Cancer Patients ◽  
Predictive Ability ◽  
Roc Curves ◽  
Poor Responders ◽  
Noninvasive Technique ◽  
B Values ◽  
Predict Treatment Response

Abstract Purpose: To testify whether multi-b-values DWI can be used to ultra-early predict treatment response of CCRT in cervical cancer patients and to assess the predictive ability of concerning parameters. Methods: 53 patients with biopsy proved cervical cancer were retrospectively recruited in this study. All patients underwent pelvic multi-b-values DWI before and at the 3rd day during treatment. Tumor diffusion parameters were calculated by mono-exponential (apparent diffusion coefficient, ADC), bi-exponential (Dslow, Dfast and fp) and stretched exponential (distributed diffusion coefficient, DDC and α) models. Treatment response was assessed based on RECIST v1.1 at 1 month after the completion of whole CCRT. Parameters were compared using independent t test or Mann-Whitney U test as appropriate. Receiver operating characteristic (ROC) curves was used for statistical evaluations. Results: ADC-T0 (p=0.02), Dslow-T0 (p<0.01), DDC-T0 (p=0.03), ADC-T1 (p<0.01), Dslow-T1 (p<0.01), ΔADC (p=0.04) and Δα (p<0.01) were significant lower in non-CR group patients. ROC analyses showed that ADC-T1 and Δα exhibited high prediction value, with area under the curves of 0.880 and 0.869, respectively. Conclusion: Multi-b-values DWI can be used as a noninvasive technique to assess and predict treatment response in cervical cancer patients at the 3rd day of CCRT. ADC-T1 and Δα can be used to differentiate good responders from poor responders.

scholarly journals Diagnostic and prognostic significance of dysregulated expression of circular RNAs in osteosarcoma

2020 ◽  
Author(s):  
Chenghao Zhang ◽  
Jieyu He ◽  
Lin Qi ◽  
Zhixi Duan ◽  
Lu Wan ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Prognostic Significance ◽  
Area Under The Curve ◽  
Disease Free Survival ◽  
Diagnostic Odds Ratio ◽  
Cochrane Library ◽  
Clinicopathological Parameters ◽  
Circular Rnas ◽  
Diagnostic Significance ◽  
Enneking Stage

Abstract Background Circular RNAs (circRNAs) have emerged as pivotal regulators in osteosarcoma tumorigenesis and progression, but their prognostic and diagnostic significance remain unclear. Herein, we aimed to perform an updated meta-analysis to explore the clinical, diagnostic and prognostic values of circRNAs in osteosarcoma. Methods Several databases, including PubMed, Web of Science, EMBASE, Scopus and Cochrane Library, were systematically searched up to Mar 10, 2020. Eligible studies regarding the relationship between circRNAs levels and clinicopathological, diagnostic and prognostic values in osteosarcoma patients were included in this study. Pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were used to measure clinical characteristics, while hazard ratios (HRs) with 95% CIs were adopted to assess overall survival (OS) and disease-free survival (DFS). Results Overall, 26 relevant studies involving 1,652 patients with osteosarcoma were enrolled, with eighteen studies on clinicopathological parameters, ten on diagnosis and eighteen on prognosis. For clinical parameters, overexpression of oncogenic circRNAs was intimately correlated with larger tumor size (P <0.00001), advanced Enneking stage (P <0.00001), poor differentiation (P =0.0001), and distant metastasis (DM) (P <0.00001). In contrast, the downregulated circRNAs showed negative correlation with Enneking stage (P=0.002) and DM (P<0.0001). For the diagnostic values, the summary area under the curve (AUC) of circRNA for the discriminative efficacy between osteosarcoma patients and non-cancer counterparts was estimated to be 0.86 (95% CI: 0.83-0.89), with a weighted sensitivity of 0.80 (95% CI: 0.74-0.84), specificity of 0.80 (95%: 0.75-0.84), and diagnostic odds ratio (DOR) of 15.48 (10.85-22.10), respectively. For the prognostic significance, oncogenic circRNAs had poor OS (HR=1.92, 95% CI: 1.68-2.19) and DFS (HR=2.65, 95% CI: 2.02-3.49), while elevated expression of tumor-suppressor circRNAs were closely related to longer OS (HR=0.44, 95% CI: 0.28-0.69). Conclusions Taken together, our study showed that aberrantly expressed circRNA signatures could serve as potential predictive indicators in diagnosis and prognosis in patients with osteosarcoma.

scholarly journals Downregulation of Urinary microRNA-200c acts as a Promising Novel Bio-marker in the Diagnosis of Patients With Bladder Cancer

2020 ◽  
Author(s):  
Hao Zi ◽  
Wen-Lin Tao ◽  
Lei Gao ◽  
Zhao-Hua Yu ◽  
Xiao-Dong Bai ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Area Under The Curve ◽  
Tumor Grade ◽  
Healthy Controls ◽  
Strongly Correlated ◽  
Operating Characteristics ◽  
Diagnostic Capacity ◽  
Pcr Method

Abstract BackgroundMicroRANs (miRNAs) have been reported to be involved in various human cancers. The aim of this study was to explore the diagnostic performance of urine miR-200c in bladder cancer. MethodsQuantitative real-time polymerase chain reaction (qRT-PCR) method was applied to measure the relative expression of urine miR-200c in bladder cancer patients. The relationship between urine miR-200c level and clinicopathological factors was analyzed using χ2 test. The diagnostic capacity of urine miR-200c was calculated using the receiver operating characteristics (ROC) curve analysis.ResultsUrinary level of miR-200c was significantly reduced in bladder cancer patients compared with healthy controls (P=0.000). Furthermore, urine miR-200c expression was strongly correlated with histologic grade (P=0.019), tumor grade (P=0.003), and lymph node metastasis (P=0.001). ROC curve showed that urine miR-200c could distinguish bladder cancer patients from healthy controls with an area under the curve of 0.844. The cutoff value of 1.235, with the sensitivity of 89.0% and the specificity of 70.7% respectively.ConclusionUrine miR-200c may act as a noninvasive diagnostic biomarker for bladder cancer.

scholarly journals Diagnostic and Prognostic Significance of Dysregulated Expression of Circular RNAs in Osteosarcoma

2020 ◽  
Author(s):  
Chenghao Zhang ◽  
Jieyu He ◽  
Lin Qi ◽  
Zhixi Duan ◽  
Lu Wan ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Prognostic Significance ◽  
Area Under The Curve ◽  
Disease Free Survival ◽  
Diagnostic Odds Ratio ◽  
Cochrane Library ◽  
Clinicopathological Parameters ◽  
Circular Rnas ◽  
Diagnostic Significance ◽  
Enneking Stage

Abstract Background CircRNAs have emerged as pivotal regulators in osteosarcoma tumorigenesis and progression, but their prognostic and diagnostic significance remain unclear. Herein, we aimed to perform an updated meta-analysis to explore the clinical, diagnostic and prognostic values of circRNAs in osteosarcoma. Methods Several databases, including PubMed, Web of Science, EMBASE, Scopus and Cochrane Library, were systematically searched up to April 10, 2020. Eligible studies regarding the relationship between circRNAs levels and clinicopathological, diagnostic and prognostic values in osteosarcoma patients were included in this study. Pooled odds ratios with corresponding 95% confidence intervals were used to measure clinical characteristics, while hazard ratios with 95% CIs were adopted to assess overall survival (OS) and disease-free survival (DFS). Results Overall, 26 relevant studies involving 1,652 patients with osteosarcoma were enrolled, with eighteen studies on clinicopathological parameters, ten on diagnosis and eighteen on prognosis. For clinical parameters, overexpression of oncogenic circRNAs was intimately correlated with larger tumor size (P < 0.00001), advanced Enneking stage (P < 0.00001), poor differentiation (P = 0.0001), and distant metastasis (DM) (P < 0.00001). In contrast, the downregulated circRNAs showed negative correlation with Enneking stage (P = 0.002) and DM (P < 0.0001). For the diagnostic values, the summary area under the curve of circRNA for the discriminative efficacy between osteosarcoma patients and non-cancer counterparts was estimated to be 0.86 (95% CI: 0.83–0.89), with a weighted sensitivity of 0.80 (95% CI: 0.74–0.84), specificity of 0.80 (95%: 0.75–0.84), and diagnostic odds ratio of 15.48 (10.85–22.10), respectively. For the prognostic significance, oncogenic circRNAs had poor OS (HR = 1.92, 95% CI: 1.68–2.19) and DFS (HR = 2.65, 95% CI: 2.02–3.49), while elevated expression of tumor-suppressor circRNAs were closely related to longer OS (HR = 0.44, 95% CI: 0.28–0.69). Conclusions Taken together, our study showed that aberrantly expressed circRNA signatures could serve as potential biomarkers in diagnosis and prognosis in patients with osteosarcoma.

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