scholarly journals Clinicopathological Features and Survival of Adolescent and Young Adults with Cervical Cancer

2021 ◽  
Vol 28 ◽  
pp. 107327482110515
Author(s):  
Shuya Pan ◽  
Wenxiao Jiang ◽  
Shangdan Xie ◽  
Haiyan Zhu ◽  
Xueqiong Zhu
Keyword(s):  
Cervical Cancer ◽  
Young Adults ◽  
Regression Model ◽  
Cancer Patients ◽  
Cox Regression ◽  
Survival Curve ◽  
Young Patients ◽  
Figo Stage ◽  
Clinicopathological Characteristics ◽  
Treatment Modalities

Purpose To explore clinicopathological characteristics and their prognostic value among young patients with cervical cancer (who are aged ≤25 years old). Methods The Surveillance, Epidemiology, and End Results Program (SEER) database was used to extract data on cervical cancer patients. They were then stratified by age as young women (≤25 years old) and old women (26–35 years old) and analyzed for clinicopathology characteristics and treatment modalities. Prognosis was analyzed using Kaplan–Meier survival curve, as well as hazard ratios using Cox regression modeling. The nomogram was developed based on Cox hazards regression model. Results Compared to 26–35 years old women, patients aged ≤25 years tended to be white ethnicity, unmarried, had earlier stage of disease. There was also a better prognosis among younger cohort. Grade, FIGO stage, histologic subtypes, and surgical modalities influenced the survival outcomes of young patients. Among young cohorts, surgery prolonged the survival time of IA-IIA stage patients while surgical and non-surgical management presented no statistically prognostic difference among patients at IIB-IVB stage. Besides, the nomogram which constructed according to Cox hazards regression model which contained independent prognosis factors including FIGO stage, surgery type, and histologic type of tumor can robustly predict survival of young patients. Conclusion Cervical cancer patients ≤25 years old were uncommon and lived longer than the older patients. Among these young patients at IA-IIA stage, surgical treatment could be more effective at preventing death than non-surgery. The nomogram could perfectly predict the prognosis of young adults and adolescents with cervical cancer.

scholarly journals NDRG3 overexpression is associated with a poor prognosis in patients with hepatocellular carcinoma

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Ji-sheng Jing ◽  
Hongbo Li ◽  
Shun-cai Wang ◽  
Jiu-ming Ma ◽  
La-qing Yu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cox Regression ◽  
Survival Curve ◽  
Disease Free Survival ◽  
Prognostic Indicator ◽  
Clinicopathological Characteristics ◽  
Pcr Analysis ◽  
Kaplan Meier ◽  
Tumor Tissues ◽  
The Relationship

N-myc downstream-regulated gene 3 (NDRG3), an important member of the NDRG family, is involved in cell proliferation, differentiation, and other biological processes. The present study analyzed NDRG3 expression in hepatocellular carcinoma (HCC) and explored the relationship between expression of NDRG3 in HCC patients and their clinicopathological characteristics. We performed quantitative real-time reverse-transcription polymerase chain reaction (qRT-PCR) analysis and immunohistochemistry (IHC) analyses on HCC tissues to elucidate NDRG3 expression characteristics in HCC patients. Kaplan–Meier survival curve and Cox regression analyses were used to evaluate the prognoses of 102 patients with HCC. The results revealed that compared with non-tumor tissues, HCC tissues showed significantly higher NDRG3 expression. In addition, our analyses showed that NDRG3 expression was statistically associated with tumor size (P=0.048) and pathological grade (P=0.001). Survival analysis and Kaplan–Meier curves revealed that NDRG3 expression is an independent prognostic indicator for disease-free survival (P=0.002) and overall survival (P=0.005) in HCC patients. The data indicate that NDRG3 expression may be considered as a oncogenic biomarker and a novel predictor for HCC prognosis.

scholarly journals Prospective intra/inter-observer evaluation of pre-brachytherapy cervical cancer tumor width measured in TRUS and MR imaging

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Mario Federico ◽  
Carmen Rosa Hernandez-Socorro ◽  
Ivone Ribeiro ◽  
Jesus Gonzalez Martin ◽  
Maria Dolores Rey-Baltar Oramas ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Patients ◽  
Clinical Information ◽  
Figo Stage ◽  
Quantitative Agreement ◽  
Stage I ◽  
Maximum Width ◽  
Dose Adaptation ◽  
Wide Availability ◽  
Cancer Tumor

Abstract Background Ultrasound (US) imaging has been proved as an excellent diagnostic tool in gynecology and, due to its wide availability and limited cost, is under intense investigation as base for dose adaptation in cervical cancer brachytherapy. Purpose of this work is to test inter/intra-observer uncertainties between magnetic resonance (MR) and trans-rectal ultrasound (TRUS) imaging in defining maximum tumor width before first brachytherapy (BT) application in a prospective cohort of cervical cancer patients undergoing image-guided adaptive brachytherapy (IGABT). Methods One hundred ten consecutive cervical cancer patients treated between 2013 and 2016 were included. Before the first BT implant patients underwent MR and TRUS scan with no applicator in place. Images were independently analyzed by three examiners, blinded to the other’s results. With clinical information at hand, maximum tumor width was measured on preBT TRUS and MR. Quantitative agreement analysis was undertaken. Intra-class correlation coefficient (ICC), Passing-Bablok and Bland Altman plots were used to evaluate the intra/inter-observers measurement agreement. Results Average difference between tumor width measured on MR (HRCTVMR) and TRUS (HRCTVTRUS) was 1.3 ± 3.2 mm (p <  0.001); 1.1 ± 4.6 mm (p = 0.01) and 0.7 ± 3 mm (p = 0.01). The error was less than 3 mm in 79, 82 and 80% of the measurements for the three observers, respectively. Intra-observer ICC was 0.96 (CI95% 0.94–0.97), 0.93 (CI95% 0.9–0.95) and 0.96 (CI95% 0.95–0.98) respectively. Inter-observer ICC for HRCTVMR width measures was 0.92 (CI95% 0.89–0.94) with no difference among FIGO stages. Inter-observer ICC for HRCTVTRUS was 0.86 (CI95% 0.81–0.9). For FIGO stage I and II tumors, ICC HRCTVTRUS values were comparable to respective HRCTVMR ICC values. For larger tumors HRCTVTRUS inter-observer ICC values were lower than respective HRCTVMR although remaining acceptable. Conclusions Our results suggest that TRUS is equivalent to MR in assessing preBT tumor maximum width in cervical cancer FIGO stage I/II. In more advanced stages TRUS seems to be slightly inferior to MR although maintaining a good agreement to gold standard imaging.

scholarly journals Crosstalk between Activated and Inactivated c-Src in Hepatocellular Carcinoma

2011 ◽  
Vol 30 (6) ◽  
pp. 325-333 ◽  
Author(s):  
Mei-Lin Chen ◽  
Chee-Yin Chai ◽  
Kun-Tu Yeh ◽  
Shen-Nien Wang ◽  
Chia-Jung Tsai ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Survival Rate ◽  
Cox Regression ◽  
Patient Survival ◽  
Survival Curve ◽  
Clinicopathological Characteristics ◽  
Active State ◽  
Overall Survival Rate ◽  
Independent Prognostic Marker

C-Src activity is regulated by tyrosine phosphorylation at two distinct sites, Tyr416 and Tyr527, with opposite effects. However, the clinical roles of these sites in human cancers are not well defined. This study aims to determine whether the alterations and crosstalk of these two sites may contribute to hepatocellular carcinoma (HCC). Specimens from 85 patients who had undergone curative hepatectomy were collected for this study. The patterns of p-Tyr416-Src and p-Tyr527-Src, as well as the non-phosphorylated status for each site, were determined using immunohistochemistry and statistically correlated with clinicopathological characteristics and overall survival rate. The active state of c-Src, p-Tyr416-c-Src, was positively correlated with tumour grade (P= 0.062) but inversely correlated with vascular invasion (P= 0.071). Its non-phosphorylated status, non-p-Tyr416-c-Src, was positively correlated with tumour stage and grade (P= 0.041 and 0.020). The inactive state of c-Src, p-Tyr527-c-Src, was decreased in male patients but increased HCV-infected patients (P= 0.044 and 0.033). The Kaplan-Meier survival curve further showed that increased p-Tyr416-c-Src and decreased non-p-Tyr527-c-Src expression were associated with a poor patient survival rate (P= 0.004 and 0.025). Interestingly, the expression of non-p-Tyr416-c-Src was positively correlated with that of p-Tyr527-c-Src in the HCC lesions (P= 0.040). In addition, the patients with concomitantly low p-Tyr416-c-Src and non-p-Tyr527-c-Src expression had a prolonged overall survival rate (P= 0.030). A multivariable COX regression model showed that p-Tyr416-c-Src expression was an effective predictor for patient survival in HCC [OR = 3.78, 95%CI = 1.46–9.76;P= 0.006]. Our results suggest that the active state of c-Src, p-Tyr416-c-Src, may serve as an independent prognostic marker of patient survival in HCC. Relative levels of other phosphorylated or non-phosphorylated c-Src kinases may also present different statuses during HCC development and require further investigation.

scholarly journals Incidence and Survival Trends of Bladder Rhabdomyosarcoma:A SEER-based Analysis of 125 Cases

2020 ◽  
Author(s):  
Pin Li ◽  
Huixia Zhou ◽  
Hualin Cao ◽  
Tao Guo ◽  
Weiwei Zhu ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Survival Time ◽  
Clinical Outcomes ◽  
Cox Regression ◽  
Survival Curve ◽  
Clinicopathological Characteristics ◽  
Chi Square ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Significant Factors

Abstract Background To elucidate the bladder rhabdomyosarcoma clinicopathological characteristics and reveal the prognostic factors. Methods We screened data from SEER database (1975-2016) stratified by age group, evaluated the differences between groups with Chi-square and Fisher’s test, conducted the Kaplan-Meier survival analysis and plotted the survival curve. The significant factors were brought into Cox regression analysis and calculated the HR(95%CI). Results About half of the patients who develop bladder RMS will be younger than 2 years of age. Embryonal RMS account for 76% of all histopathology types. Age at diagnosis more than 16-y (HR=6.595,95%CI:3.62-12.01, p=7.04e-10), NOT embryonal rhabdomyosarcoma (HR=3.61, 95%CI:1.99-6.549, p =4.1e-06), without radiotherapy combined or surgery alone (HR=4.382, 95%CI:1.99-6.549, p =2.4e-05) and not performed the surgery (HR=2.982,95%CI:1.263-7.039, p =0.0126) were negatively correlated with 5-year survival time, while race( p =0.341), whether performed the lymphadenectomy( p =0.722) showed no influence on survival time. Cox regression results show that age, histology, SEER stage, treatment combined or alone influence the clinical outcomes. Conclusions We demonstrated the demographic and characteristic of bladder rhabdomyosarcoma, identified and excluded the prognostic factors for the 5-year overall survival and clinical outcomes.

scholarly journals Construction on of a Ferroptosis-Related lncRNA-Based Model to Improve the Prognostic Evaluation of Gastric Cancer Patients Based on Bioinformatics

2021 ◽  
Vol 12 ◽  
Author(s):  
Jiahui Pan ◽  
Xinyue Zhang ◽  
Xuedong Fang ◽  
Zhuoyuan Xin
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Cox Regression ◽  
Risk Group ◽  
Survival Curve ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Cox Regression Analysis ◽  
Gastric Cancer Patients

BackgroundGastric cancer is one of the most serious gastrointestinal malignancies with bad prognosis. Ferroptosis is an iron-dependent form of programmed cell death, which may affect the prognosis of gastric cancer patients. Long non-coding RNAs (lncRNAs) can affect the prognosis of cancer through regulating the ferroptosis process, which could be potential overall survival (OS) prediction factors for gastric cancer.MethodsFerroptosis-related lncRNA expression profiles and the clinicopathological and OS information were collected from The Cancer Genome Atlas (TCGA) and the FerrDb database. The differentially expressed ferroptosis-related lncRNAs were screened with the DESeq2 method. Through co-expression analysis and functional annotation, we then identified the associations between ferroptosis-related lncRNAs and the OS rates for gastric cancer patients. Using Cox regression analysis with the least absolute shrinkage and selection operator (LASSO) algorithm, we constructed a prognostic model based on 17 ferroptosis-related lncRNAs. We also evaluated the prognostic power of this model using Kaplan–Meier (K-M) survival curve analysis, receiver operating characteristic (ROC) curve analysis, and decision curve analysis (DCA).ResultsA ferroptosis-related “lncRNA–mRNA” co-expression network was constructed. Functional annotation revealed that the FOXO and HIF-1 signaling pathways were dysregulated, which might control the prognosis of gastric cancer patients. Then, a ferroptosis-related gastric cancer prognostic signature model including 17 lncRNAs was constructed. Based on the RiskScore calculated using this model, the patients were divided into a High-Risk group and a low-risk group. The K-M survival curve analysis revealed that the higher the RiskScore, the worse is the obtained prognosis. The ROC curve analysis showed that the area under the ROC curve (AUC) of our model is 0.751, which was better than those of other published models. The multivariate Cox regression analysis results showed that the lncRNA signature is an independent risk factor for the OS rates. Finally, using nomogram and DCA, we also observed a preferable clinical practicality potential for prognosis prediction of gastric cancer patients.ConclusionOur prognostic signature model based on 17 ferroptosis-related lncRNAs may improve the overall survival prediction in gastric cancer.

scholarly journals EYA4 could be an indicator signifying colorectal cancer sufferers' prognoses

2020 ◽  
Author(s):  
Yang Yan ◽  
Xiaohui Du ◽  
Shaoyou Xia ◽  
Songyan Li ◽  
Da Teng ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Cox Regression ◽  
Survival Curve ◽  
Mrna Level ◽  
Clinicopathological Characteristics ◽  
Rank Test ◽  
Normal Tissues ◽  
Log Rank Test ◽  
Low Expression

Abstract Background Eyes absent 4 (EYA4) is involved in various biological processes. The aim of this study was to investigate the expression of EYA4 and its prognostic value in colorectal cancer (CRC). Methods The mRNA level of EYA4 in diseased tissues and adjacent normal tissues of CRC patients were detected by quantitative real-time polymerase chain reaction (qRT-PCR). The association between EYA4 expression and clinicopathological characteristics was analyzed by χ2 test. Kaplan-Meier analysis with log rank test was performed to evaluate the effects of EYA4 expression on overall survival of CRC patients. Cox regression model was applied for prognosis analysis in CRC. Results The mRNA level of EYA4 was significantly decreased in CRC tissues compared with that in the adjacent normal tissue (P < 0.01). And its expression was affected by DUKE stage (P = 0.034), differentiation (P = 0.027) and vascular invasion (P = 0.037). Survival curve showed that patients with low expression of EYA4 had a significantly shorter overall survival than those with high expression (log rank test, P = 0.008). Low expression of EYA4 (HR = 1.989, 95%CI = 1.090-3.62902, P = 0.025) was an independent biomarker for poor prognosis in CRC patients. Conclusion EYA4 expression is decreased in CRC patients and negatively correlated with aggressive tumor progression. EYA4 may be a potential prognostic biomarker for CRC.

scholarly journals Comparison of adenocarcinoma and adenosquamous carcinoma prognoses in Chinese patients with FIGO stage IB-IIA cervical cancer following radical surgery

2020 ◽  
Author(s):  
Xiaojing Zhang ◽  
Zunfu Lv ◽  
Xiaoxian Xu ◽  
Zhuomin Yin ◽  
hanmei Lou
Keyword(s):  
Cervical Cancer ◽  
Cox Regression ◽  
Adenosquamous Carcinoma ◽  
Risk Groups ◽  
Figo Stage ◽  
Chinese Patients ◽  
Survival Outcomes ◽  
Intermediate Risk ◽  
Stage Ib ◽  
Risk Patients

Abstract Background: To compare adenocarcinoma (AC) and adenosquamous carcinoma (ASC) prognoses in patients with FIGO stage IB–IIA cervical cancer who underwent radical hysterectomy. Methods. We performed a retrospective analysis of 240 patients with AC and 130 patients with ASC. Kaplan–Meier curves, Cox regression models, and log-rank tests were used for statistical analysis. Results: Patients with ASC had higher frequencies of lymphovascular space invasion (LVSI) and serum squamous cell carcinoma antigen (SCC-Ag) > 5 ng/ml (p=0.049 and p=0.013, respectively); moreover, they were much older (P=0.029) than patients with AC. There were no clinically significant differences in overall survival (OS) between the groups. When stratified into three risk groups based on clinicopathological features, survival outcomes did not differ between patients with AC and those with ASC in any risk group. Multivariate analysis showed that lymph node metastasis (LNM) was an independent risk factor for recurrence-free survival (RFS) and OS in patients with AC and in patients with ASC. Carcinoembryonic antigen (CEA) > 5 ng/ml and SCC-Ag > 5 ng/ml were independent predictors of RFS and OS in patients with AC. In addition, among those stratified as intermediate-risk, patients with ASC who received concurrent chemoradiotherapy (CCRT) had significantly better RFS and OS (P=0.036 and P=0.047, respectively). Conclusions: We did not find evidence to suggest that AC and ASC subtypes of cervical cancer were associated with different survival outcomes. CCRT is beneficial for survival in intermediate-risk patients with ASC, but not in those with AC. Serum tumour markers can assist in evaluating prognosis and in providing additional information for patient-tailored therapy for cervical AC.

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