Fractional polynomials univariate analysis, cervical cancer by GDP level in 2002

2013 ◽  
Keyword(s):  
Cervical Cancer ◽  
Univariate Analysis ◽  
Fractional Polynomials

scholarly journals Immunogenomic Identification for Predicting the Prognosis of Cervical Cancer Patients

2021 ◽  
Vol 22 (5) ◽  
pp. 2442
Author(s):  
Qun Wang ◽  
Aurelia Vattai ◽  
Theresa Vilsmaier ◽  
Till Kaltofen ◽  
Alexander Steger ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Clinical Data ◽  
Regulatory Network ◽  
Univariate Analysis ◽  
Predictive Biomarkers ◽  
Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Functional Enrichment ◽  
Wilcoxon Test

Cervical cancer is primarily caused by the infection of high-risk human papillomavirus (hrHPV). Moreover, tumor immune microenvironment plays a significant role in the tumorigenesis of cervical cancer. Therefore, it is necessary to comprehensively identify predictive biomarkers from immunogenomics associated with cervical cancer prognosis. The Cancer Genome Atlas (TCGA) public database has stored abundant sequencing or microarray data, and clinical data, offering a feasible and reliable approach for this study. In the present study, gene profile and clinical data were downloaded from TCGA, and the Immunology Database and Analysis Portal (ImmPort) database. Wilcoxon-test was used to compare the difference in gene expression. Univariate analysis was adopted to identify immune-related genes (IRGs) and transcription factors (TFs) correlated with survival. A prognostic prediction model was established by multivariate cox analysis. The regulatory network was constructed and visualized by correlation analysis and Cytoscape, respectively. Gene functional enrichment analysis was performed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). A total of 204 differentially expressed IRGs were identified, and 22 of them were significantly associated with the survival of cervical cancer. These 22 IRGs were actively involved in the JAK-STAT pathway. A prognostic model based on 10 IRGs (APOD, TFRC, GRN, CSK, HDAC1, NFATC4, BMP6, IL17RD, IL3RA, and LEPR) performed moderately and steadily in squamous cell carcinoma (SCC) patients with FIGO stage I, regardless of the age and grade. Taken together, a risk score model consisting of 10 novel genes capable of predicting survival in SCC patients was identified. Moreover, the regulatory network of IRGs associated with survival (SIRGs) and their TFs provided potential molecular targets.

Comparison of the Prognoses of FIGO Stage I to Stage II Adenosquamous Carcinoma and Adenocarcinoma of the Uterine Cervix Treated With Radical Hysterectomy

2012 ◽  
Vol 22 (8) ◽  
pp. 1389-1397 ◽  
Author(s):  
Seiji Mabuchi ◽  
Mika Okazawa ◽  
Yasuto Kinose ◽  
Koji Matsuo ◽  
Masateru Fujiwara ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cervical Cancer ◽  
High Risk ◽  
Uterine Cervix ◽  
Radical Hysterectomy ◽  
Adenosquamous Carcinoma ◽  
Early Stage ◽  
Univariate Analysis ◽  
Low Risk ◽  
Histological Subtype

ObjectivesTo evaluate the significance of adenosquamous carcinoma (ASC) compared with adenocarcinoma (AC) in the survival of surgically treated early-stage cervical cancer.MethodsWe retrospectively reviewed the medical records of 163 patients with International Federation of Gynecology and Obstetrics stage IA2 to stage IIB cervical cancer who had been treated with radical hysterectomy with or without adjuvant radiotherapy between January 1998 and December 2008. The patients were classified according to the following: (1) histological subtype (ASC group or AC group) and (2) pathological risk factors (low-risk or intermediate/high-risk group). Survival was evaluated using the Kaplan-Meier method and compared using the log-rank test. Multivariate analysis of progression-free survival (PFS) was performed using the Cox proportional hazards regression model to investigate the prognostic significance of histological subtype.ResultsClinicopathological characteristics were similar between the ASC and AC histology groups. Patients with the ASC histology displayed a PFS rate similar to that of the patients with the AC histology in both the low-risk and intermediate/high-risk groups. Neither the recurrence rate nor the pattern of recurrence differed between the ASC group and the AC group. Univariate analysis revealed that patients with pelvic lymph node metastasis and parametrial invasion achieved significantly shorter PFS than those without these risk factors.ConclusionsCharacteristics of the patients and the tumors as well as survival outcomes of ASC were comparable to adenocarcinoma of early-stage uterine cervix treated with radical hysterectomy. Our results in part support that the management of ASC could be the same as the one of AC of the uterine cervix.

scholarly journals What Are The Determinants of Parametrial Invasion In Patients With Early Stage Cervical Cancer: A Cross Sectional Study

2021 ◽  
Author(s):  
Niloufar Hoorshad ◽  
Narges Zamani ◽  
Shahrzad Sheikh Hasani ◽  
Amirhossein Poopak ◽  
Amirsina Sharifi
Keyword(s):  
Cervical Cancer ◽  
Tumor Size ◽  
Early Stage ◽  
Univariate Analysis ◽  
Surgical Margin ◽  
P Value ◽  
Positive Surgical Margin ◽  
Stromal Invasion ◽  
Number Of Patients ◽  
Early Stage Cervical Cancer

Abstract Background: There was an increase in number of patients presented with early-stage cervical cancer (CC). Tumors with favorable pathological features might be candidates for less radical surgery.Methods: We retrospectively reviewed 700 patients with histologically confirmed CC between January 2011 and March 2020. Chi-square, Fisher's exact tests and multivariate logistic regression analysis were used to assess relations between parametrial involvement (PI) and clinic-pathological variables.Results: Total number of 132 patients with stage IA to IIA were eligible to participate. Squamous cell carcinoma was reported in 100 (75.8%) patients, adenocarcinoma and other tumor pathologies were found in 24(18.2%) and 8(6.1%), respectively. Considering the FIGO stage, 11 (8.4%) patients had IA, 111 (83%%) IB and 10 (7.6%) IIA. Nine patients (6.8%) had PI on permanent pathologic report. Univariate analysis demonstrated that following variables were statistically different between patients with and without PI: age ≥ 50, tumor size ≥ 3cm, lower segment involvement, poorly differentiated pathology, deep stromal invasion, pelvic lymph node, lympho-vascular involvement and positive surgical margin (all p values < 0.05). Among these variables only tumor size ≥ 3 cm (OR: 2.1, 95% CI: 1.11-4.16, p value: 0.02), deep stromal invasion (OR: 2.2, 95% CI: 1.9-7.43, p value: 0.02) and positive surgical margin (OR: 5.1, 95% CI: 3.97-11.15, p value: 0.008) were independent risk factor of PI in multivariate analysis.Conclusions: Early stage CC can be surgically approached in a more conservative manner if patients have tumor size < 3 cm and do not have deep stromal invasion in conization.

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 The pattern of distant metastasis and clinicopathological factors associated with de-novo metastatic cervical cancer: a retrospective analysis

2021 ◽  
Vol 10 (1) ◽  
pp. 191
Author(s):  
J. Kannan ◽  
Amit Saklani ◽  
Srigopal Mohanty ◽  
Kiranmayee Narapaneni ◽  
Deepak George ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Multivariate Analysis ◽  
Cancer Patients ◽  
Distant Metastasis ◽  
Primary Tumor ◽  
De Novo ◽  
Univariate Analysis ◽  
High Grade ◽  
Newly Diagnosed ◽  
Factors Associated

Background: Metastatic cervical cancer carries poor prognosis. The factors associated with distant metastasis in newly diagnosed cervical cancer patients are not clear.Methods: A retrospective analytical study was performed to study the pattern of distant metastasis, and to evaluate the factors associated with de-novo metastatic cervical cancer. Univariate and multivariate analysis (by MANOVA) were used to evaluate the association. P≤0.05 was considered significant.Results: Out of 1321 newly diagnosed cervical cancer patients, 54 (4.1%) had de-novo metastatic disease and most of which (81%) were found at single site. Common sites of distant metastasis were non-regional nodes, followed by liver, lung, peritoneum and bone. Univariate analysis showed the factors associated with de-novo metastasis were non squamous subtype, high grade histology, bulky primary tumor (>4 cm), pelvic/para-aortic lymphadenopathy, and hydroureteronephrosis. Multivariate analysis revealed the factors associated with de-novo metastasis were bulky primary tumor (>4 cm), high grade histology, pelvic/para aortic lymphadenopathy, hydroureteronephrosis.Conclusions: Newly diagnosed cervical cancer patients with bulky primary tumor, high grade histology, pelvic or para aortic lymphadenopathy, hydroureteronephrosis are associated with higher risk of de-novo distant metastasis.

scholarly journals Predicting Model for Tumor Budding Status using Radiomics Features of 18F-PET/CT and in Cervical Cancer

2021 ◽  
Author(s):  
Gun Oh Chong ◽  
Shin-Hyung Park ◽  
Shin Young Jeong ◽  
Su Jeong Kim ◽  
Jee Young Park ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Patients ◽  
Fdg Pet ◽  
Univariate Analysis ◽  
Metabolic Parameters ◽  
Tumor Budding ◽  
Gray Level ◽  
Predicting Model ◽  
Pet Ct ◽  
Fdg Pet Ct

Abstract ObjectiveThe aim of this study was to compare radiomics feature on 18F-FDG PET/CT and intratumoral heterogeneity according to tumor budding (TB) status and to develop predicting model for TB status using radiomics feature of 18F-FDG PET/CT in patients with cervical cancer.Materials and methodsA total of 76 cervical cancer patients who performed radical hysterectomy and preoperative 18F-FDG PET/CT were included. We assessed the status of intratumoral budding (ITP) and peritumoral budding (PTB) in all available hematoxylin and eosin-stained specimens. Three conventional metabolic parameters and a total of 59 features were extracted and analyzed. Univariate analysis was used to identify significant metabolic parameters and radiomics findings for TB status. Predicting model for TB status was built by the LASSO regularization.ResultsThe univariate analysis lead to the identification of 2 significant metabolic parameters and 12 significant radiomic features according to ITB status. Among these parameters, only compacity was remained in multivariate analysis for ITB status (odds ratio. 5.0047; 95% confidence interval, 1.1636 – 21.5253; p = 0.0305). Five radiomics features (Kurtosis, Compacity, Short-Zone Low Gray-level Emphasis, Coarseness, Low Gray-level Run Emphasis) were selected by the LASSO regularization and the predicting model for ITB status had a mean area under curve of 0.810 in training dataset and 0.794 in validation dataset.ConclusionRadiomics features on 18F-FDG PET/CT was associated with ITB status. The predicting model using radiomics features successfully predicted TB status in cervical cancer. The predicting models for ITB status may contribute to personalized medicine in the management of cervical cancer patients.

scholarly journals Systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Yue-Xin Hu ◽  
Ming-Jun Zheng ◽  
Wen-Chao Zhang ◽  
Xiao Li ◽  
Rui Gou ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Alternative Splicing ◽  
Prognostic Markers ◽  
Univariate Analysis ◽  
Enrichment Analysis ◽  
High Morbidity ◽  
Diagnosis And Prognosis ◽  
Different Types ◽  
Genome Level ◽  
Prediction Of Prognosis

Abstract Aim Cervical cancer is a common malignant carcinoma of the gynecological tract with high morbidity and mortality. Therefore, it is crucial to elucidate the pathogenesis, prevention, diagnosis and prognosis of cervical cancer by searching for the involved key genes. Method In this study, the alternative splicing (AS) events of 253 patients with cervical cancer were analyzed, and 41,766 AS events were detected in 9961 genes. Univariate analysis was performed to screen prognostic AS events. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was used to identify the pathways in which these AS events were involved. Results We found that exon skip (ES) is the main AS event in patients with cervical cancer. There was pronounced consistency between the genes involved in overall survival and those involved in recurrence. At the same time, we found that a gene may exhibit several different types of AS events, and these different AS events may be related to prognosis. Four characteristic genes, HSPA14, SDHAF2, CAMKK2 and TM9SF1, that can be used as prognostic markers for cervical cancer were selected. Conclusion: The importance of AS events in the development of cervical cancer and prediction of prognosis was revealed by a large amount of data at the whole genome level, which may provide a potential target for cervical cancer treatment. We also provide a new method for exploring the pathogenesis of cervical cancer to determine clinical treatment and prognosis more accurately.

GAMBARAN DUKUNGAN SUAMI TERHADAP DETEKSI DINI KANKER SERVIKS PADA PASANGAN USIA SUBUR (PUS) DI DUSUN NGASEM DESA TIMBULHARJO SEWON BANTUL TAHUN 2016

2016 ◽  
Vol 5 (3) ◽  
pp. 184-192
Author(s):  
Fatimah Dewi Anggraeni ◽  
Klesia Benedikta
Keyword(s):  
Cervical Cancer ◽  
Early Detection ◽  
Univariate Analysis ◽  
Good Health ◽  
Cervical Canal ◽  
Squamous Cells ◽  
Cancer Early Detection ◽  
Development Goals ◽  
Quantitative Descriptive ◽  
Husband Support

ABSTRACT Background: The purpose of Sustainable Development Goals (SDGs) that all three are promoting good health with a target to be achieved is to reduce one-third of deaths from non-communicable diseases such as Hypertension, Heart, Diabetes Mellitus, cancer, Asthma and Lung disease through prevention until 2030. one effort to reduce cervical cancer is by early detection of cervical cancer. Cervical cancer is a malignant tumor that grows in the cervix or uterus that comes from 90% of squamous cells lining the cervix and the remaining 10% comes from mucus-producing gland cells in the cervical canal leading into the uterus. Cervical cancer is the second killer of women worldwide after breast cancer. Objectives: To know husband support the early detection of cervical cancer in fertile age couple in Ngasem Timbulharjo Sewon Bantul Methods: This type of research method is quantitative descriptive. The Sampling tecnique Acindental sampling with 30 respondents aged 15-49 years old. The data collection uses the unclosed questionnaire and the analysis of data using univariate analysis. Results: The husband support in Cervical Cancer Early Detection informational support in the less category is 20 respondents (66.7%), Assesment support in the less category is 18 respondents (60.0%), instrumental support in the less category is 16 respondents (53.3%), emotional support in the less category is 19 respondents (63.3%). Conclusion: The results showed that the husband's support on the early detection of cervical cancer in Ngasem Timbulharjo Sewon Bantul village in the poor category were 19 respondents (63.3%). Keywords: Husband Support, Early Detection of Cervical Cancer  

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