MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis

Abstract Background To identify predictive value of apparent diffusion coefficient (ADC) values and magnetic resonance imaging (MRI)-based radiomics for all recurrences in patients with endometrial carcinoma (EC). Methods One hundred and seventy-four EC patients who were treated with operation and followed up in our institution were retrospectively reviewed, and the patients were divided into training and test group. Baseline clinicopathological features and mean ADC (ADCmean), minimum ADC (ADCmin), and maximum ADC (ADCmax) were analyzed. Radiomic parameters were extracted on T2 weighted images and screened by logistic regression, and then a radiomics signature was developed to calculate the radiomic score (radscore). In training group, Kaplan–Meier analysis was performed and a Cox regression model was used to evaluate the correlation between clinicopathological features, ADC values and radscore with recurrence, and verified in the test group. Results ADCmean showed inverse correlation with recurrence, while radscore was positively associated with recurrence. In univariate analyses, FIGO stage, pathological types, myometrial invasion, ADCmean, ADCmin and radscore were associated with recurrence. In the training group, multivariate Cox analysis showed that pathological types, ADCmean and radscore were independent risk factors for recurrence, which were verified in the test group. Conclusions ADCmean value and radscore were independent predictors of recurrence of EC, which can supplement prognostic information in addition to clinicopathological information and provide basis for individualized treatment and follow-up plan.

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MRI-based Radiomics and ADC Values Are Related to Recurrence of Endometrial Carcinoma：A Preliminary Analysis

10.21203/rs.3.rs-776782/v1 ◽

2021 ◽

Author(s):

Kaiyue Zhang ◽

Yu Zhang ◽

Xin Fang ◽

Jiangning Dong ◽

Liting Qian

Keyword(s):

Cox Regression ◽

Myometrial Invasion ◽

Inverse Correlation ◽

Figo Stage ◽

Clinicopathological Features ◽

Prognostic Information ◽

Adc Value ◽

Kaplan Meier ◽

Adc Values ◽

Cox Analysis

Abstract Background: To identify predictive value of apparent diffusion coefficient (ADC) values and magnetic resonance imaging (MRI)-based radiomics for all recurrences in patients with endometrial carcinoma (EC).Methods: One hundred and seventy-four EC patients who were treated with operation and followed up in our institution were retrospectively reviewed. Baseline clinicopathological features and ADC values were analyzed. Radiomic parameters were extracted on T2 weighted imaging and screened by logistic regression, and then a radiomics signature was developed to calculate the radiomic score (radscore). Kaplan–Meier analysis was performed and a Cox regression model was used to evaluate the correlation between clinicopathological features, ADC values and radiology with recurrence.Results: ADC values showed inverse correlation with recurrence, while radscore was positively associated with recurrence. In univariate analyses, FIGO stage, pathological types, myometrial invasion, lymphovascular space invasion (LVSI), ADC value and radscore were associated with recurrence. In multivariate Cox analysis, pathological types, ADC and radscore were independent risk factors for recurrence.Conclusions: ADC value and radscore were independent predictors of recurrence of EC, which can supplement prognostic information in addition to clinicopathological information and provide basis for individualized treatment and follow-up plan.

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Postoperative Systemic Immune-Inflammation Index (SII): A Superior Prognostic Factor of Endometrial Cancer

Frontiers in Surgery ◽

10.3389/fsurg.2021.704235 ◽

2021 ◽

Vol 8 ◽

Author(s):

Yihong Huang ◽

Yu Chen ◽

Yan Zhu ◽

Qing Wu ◽

Chengyun Yao ◽

...

Keyword(s):

Endometrial Cancer ◽

Prognostic Factor ◽

Endometrial Carcinoma ◽

Cox Regression ◽

Univariate Analysis ◽

Myometrial Invasion ◽

Figo Stage ◽

Lymphatic Invasion ◽

Youden Index ◽

Immune Inflammation

Objective: This study evaluates the preoperative and postoperative systemic immune-inflammation index (SII) capacity to predict the prognosis of patients with endometrial carcinoma after the operation and build a nomogram model to assist clinical practice.Methods: The retrospective study included 362 consecutive patients with surgically resected endometrial cancer between January 2010 and June 2015 at The Affiliated Cancer Hospital of Shantou University Medical College. Blood routine was examined within 1 week before surgery to calculate SII, NLR, PLR, and MLR and 3 days after surgery to measure SII. The Pearson's χ2-test or Fisher's exact test was used to explore their relationship to clinical variables. The univariate and multivariate survival analyses were performed by Cox regression to identify the independent prognostic indicators. The Kaplan–Meier method with the log-rank test was used to generate the overall survival (OS) curves. R software was used to generate the receiver operating characteristic (ROC) curve and then it got the optimum cutoff value through the maximum Youden index. A nomogram model was formed with systemic immune inflammation and clinical factors.Results: The preoperative SII was related to age (p = 0.009), FIGO stage (p = 0.02) and menopause (p = 0.014). The postoperative SII was associated with menopause (p = 0.014). Univariate analysis indicated that FIGO stage, lymphatic invasion, depth of myometrial invasion, postoperative chemotherapy, postoperative radiotherapy, preoperative SII, NLR, PLR, MLR, CRP, CA125, and postoperative SII were predictors of OS (p < 0.05). Multivariate analysis showed that lymphatic invasion and postoperative SII were independent prognostic factors of OS (p < 0.05). The nomogram model was visualized precisely to reflect the prognosis with a C-index value of 0.866 in this model.Conclusion: The postoperative SII is the independent prognostic factor in patients with endometrial carcinoma after the operation and contributes to poor outcomes. However, after surgery, the preoperative SII and preoperative NLR, PLR, and MLR are not associated with OS endometrial carcinoma. Making good use of the nomogram model would contribute to better subsequent therapy.

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Prognostic parameters in FIGO stage I endometrial carcinoma of endometrioid type

Vojnosanitetski pregled ◽

10.2298/vsp0612006s ◽

2006 ◽

Vol 63 (12) ◽

pp. 1006-1010 ◽

Cited By ~ 1

Author(s):

Zorica Stanojevic ◽

Biljana Djordjevic

Keyword(s):

Endometrial Carcinoma ◽

Myometrial Invasion ◽

Figo Stage ◽

Histologic Grade ◽

Stage I ◽

Prognostic Parameters ◽

Vascular Space ◽

Vascular Space Invasion ◽

Pathologic Parameters

Background/Aim. Endometrial carcinoma is the most common malignant neoplasm of the female genital tract in developed countries. Endometrioid carcinoma represents about three-fourths of all endometrial carcinoma. The aim of this study was to examine pathologic parameters, age, and the 5-year survival of the patients with FIGO stage I endometrial carcinoma of endometrioid type and to assess the prognostic utility of age, depth of myometrial invasion, hystologic type (endometrioid or variant), histologic grade, nuclear grade, and lymph-vascular space invasion. Methods. Age, pathologic parameters, and survival data were retrospectively collected on 236 patients with FIGO stage I endometrial carcinoma of endometrioid type. All the patients underwent hysterectomy between 1996 and 2000 and follow-up until December 2005. Results. A total of 236 patients (mean age 58.0, range 40?79) were analyzed. During the 5-year period of follow-up, 59 (25.0%) patents died from the disease. An univariate analysis revealed that age, depth of myometrial invasion, histologic grade, nuclear grade, and lymph-vascular space invasion were associated significantly with the 5-year survival of the patients. A multivariate analysis revealed that age, lymph-vascular space invasion, and depth of myometrial invasion were associated significantly with the 5-year survival. Conclusion. Age, lymph-vascular space invasion, and depth of myometrial invasion are independent prognostic parameters for the 5-year survival of the patients with FIGO stage I endometrial carcinoma of endometrioid type.

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Development and Validation of a Nine-Redox-Related Long Noncoding RNA Signature in Renal Clear Cell Carcinoma

Oxidative Medicine and Cellular Longevity ◽

10.1155/2020/6634247 ◽

2020 ◽

Vol 2020 ◽

pp. 1-30

Author(s):

Xia Qi-Dong ◽

Xun Yang ◽

Jun-Lin Lu ◽

Chen-Qian Liu ◽

Jian-Xuan Sun ◽

...

Keyword(s):

Cell Carcinoma ◽

Long Noncoding Rna ◽

Noncoding Rna ◽

Cox Regression ◽

Clear Cell ◽

Test Group ◽

Training Group ◽

Gene Set Enrichment Analysis ◽

The Cancer Genome Atlas ◽

Prognostic Signature

Background. Redox plays an essential role in the pathogeneses and progression of tumors, which could be regulated by long noncoding RNA (lncRNA). We aimed to develop and verify a novel redox-related lncRNA-based prognostic signature for clear cell renal cell carcinoma (ccRCC). Materials and Methods. A total of 530 ccRCC patients from The Cancer Genome Atlas (TCGA) were included in this study. All the samples were randomly split into training and test group at a 1 : 1 ratio. Then, we screened differentially expressed redox-related lncRNAs and constructed a novel prognostic signature from the training group using the least absolute shrinkage and selection operation (LASSO) and COX regression. Next, to verify the accuracy of the signature, we conducted risk and survival analysis, as well as the construction of ROC curve, nomogram, and calibration curves in the training group, test group, and all samples. Finally, the redox gene-redox-related lncRNA interaction network was constructed, and gene set enrichment analysis (GSEA) was performed to investigate the status of redox-related functions between high/low-risk groups. Results. A nine-redox-related lncRNA signature consisted of AC025580.3, COLCA1, AC027601.2, DLEU2, AC004918.3, AP006621.2, AL031670.1, SPINT1-AS1, and LAMA5-AS1 was significantly associated with overall survival in ccRCC patients. The signature proved efficient, and thus, a nomogram was successfully assembled. In addition, the GSEA results demonstrated that two major redox-related functions were enhanced in the high-risk group ccRCC patients. Conclusions. Our findings robustly demonstrate that the nine-redox-related lncRNA signature could serve as an efficient prognostic indicator for ccRCC.

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Correlation of Ecadherin Expression in Endometrial Carcinoma with Tumour Grade and Stage

IIUM Medical Journal Malaysia ◽

10.31436/imjm.v20i3.1737 ◽

2021 ◽

Vol 20 (3) ◽

Author(s):

Lizawati RH ◽

Nur Maya Sabrina TL ◽

Muhammad Fakhri MS ◽

Nordashima AS ◽

Azmawati MN

Keyword(s):

Lymph Node ◽

Endometrial Carcinoma ◽

Distant Metastasis ◽

Lymphovascular Invasion ◽

Myometrial Invasion ◽

Figo Stage ◽

Lymph Node Status ◽

Tumour Grade ◽

Grade 3 ◽

E Cadherin

INTRODUCTION: Endometrial carcinoma (EC) is among the common malignancy in the female with adverse prognosis in the advanced stage. Prediction of its prognosis is important in stratifying EC patients to achieve optimum treatment and improve clinical outcomes. This study is aimed to evaluate the prognostic significance of E-cadherin expression in patients with EC. The present study also investigated the correlation of E-cadherin expression in EC with its tumour grade and stage. MATERIALS AND METHODS: A total of 70 cases of EC were included in the study within eleven years comprising 56 cases of endometrioid carcinoma, 2 cases of mucinous carcinoma, 10 cases of serous carcinoma and 2 cases of clear cell carcinoma. E-cadherin expression was immunohistochemically analysed and compared with clinicopathological parameters. RESULTS: E-cadherin loss of expression shows significant association with non endometrioid EC (p=0.003), high tumour grade (p<0.001) and tumour with distant metastasis (p=0.028). Tumour grade is the main predictor of down-regulation of Ecadherin expression (Grade 3: aOR 8.400, 95%CI 2.534-27.842). There was no significant association found between E-cadherin expression with myometrial invasion, FIGO stage, lymph node status and lymphovascular invasion. CONCLUSION: E-cadherin loss of expression correlates with poor prognostic factors namely high grade and high stage (metastasis) EC. This may serve as a potential prognostic marker for EC>< 0.001) and tumour with distant metastasis (p=0.028). Tumour grade is the main predictor of down-regulation of E-cadherin expression (Grade 3: aOR 8.400, 95%CI 2.534-27.842). There was no significant association found between E-cadherin expression with myometrial invasion, FIGO stage, lymph node status and lymphovascular invasion.

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Prognostic Significance of Angiogenesis and Ki-67, p53, and p21 Expression: A Population-Based Endometrial Carcinoma Study

Journal of Clinical Oncology ◽

10.1200/jco.1999.17.5.1382 ◽

1999 ◽

Vol 17 (5) ◽

pp. 1382-1382 ◽

Cited By ~ 122

Author(s):

Helga B. Salvesen ◽

Ole Erik Iversen ◽

Lars A. Akslen

Keyword(s):

High Risk ◽

Endometrial Carcinoma ◽

Cox Regression ◽

Figo Stage ◽

Population Based ◽

Prognostic Impact ◽

Histologic Type ◽

Ki 67 ◽

Cox Regression Analysis

PURPOSE: For endometrial carcinoma patients, there is a need for improved identification of high-risk groups that may benefit from postoperative adjuvant therapy. We therefore studied the prognostic impact of markers for cell proliferation, cell-cycle regulation, and angiogenesis among endometrial carcinoma patients in a population-based setting. PATIENTS AND METHODS: All patients diagnosed with endometrial carcinoma between 1981 and 1985 in Hordaland County, Norway, were studied. The median follow-up for the survivors was 11.5 years (range, 8 to 15 years), with no patient lost because of insufficient follow-up information. Paraffin-embedded tumor tissue, available in 96% of the cases (n = 142), was studied immunohistochemically for microvessel density (MVD) and expression of Ki-67, p53, and p21 proteins. We used the hot spot method for calculation of MVD, and expression of Ki-67 and p21 protein, because this approach may increase the probability of detecting small aggressive clones of possible prognostic relevance. The importance of these tumor markers was investigated in univariate survival analyses and Cox regression analysis. RESULTS: The majority of traditional clinicopathologic variables was significantly associated with the tumor biomarkers. Age, International Federation of Gynecology and Obstetrics (FIGO) stage, histologic type, histologic grade, MVD, as well as Ki-67, p53, and p21 protein expression, all significantly influenced survival in univariate analyses (P ≤ .05). In the Cox regression analysis, age, FIGO stage, MVD, Ki-67 expression, and p53 expression were the only variables with independent prognostic impact (P ≤ .05), whereas histologic type, histologic grade, and p21 expression had no independent influence. A group of high-risk patients with more than one unfavorable marker was identified. CONCLUSION: In addition to age and FIGO stage, MVD, Ki-67, and p53 protein expression showed an independent prognostic impact. Thus, information derived from routine histologic specimens identified a subgroup of high-risk endometrial carcinoma patients in this population-based study.

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Postoperative Nomogram for predicting Cancer-Specific and Overall Survival Among Patients with Medullary Thyroid Cancer

10.21203/rs.3.rs-76152/v1 ◽

2020 ◽

Author(s):

Li Chen ◽

Yizeng Wang ◽

Ke Zhao ◽

Yuyun Wang ◽

Dongyang Li ◽

...

Keyword(s):

Overall Survival ◽

Lymph Nodes ◽

Total Thyroidectomy ◽

Cox Regression ◽

Test Group ◽

Training Group ◽

Seer Database ◽

Cancer Specific Survival ◽

Lymph Nodes Dissection ◽

Neck Lymph Nodes

Abstract Background Medullary thyroid carcinoma (MTC) accounts for 1% -2% of thyroid cancer in the United States based on the latest Surveillance, Epidemiology, and End Results (SEER) data, this study aimed to construct a comprehensive predictive nomogram based on various clinical variables in MTC patients who undergo total thyroidectomy and neck lymph nodes dissection.Methods Data regarding 1237 MTC patients who undergo total thyroidectomy and neck lymph nodes dissection from 2004 to 2015 were obtained from the SEER database. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent predictors. These independent factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year overall survival and cancer-specific survival among these MTC patients.Result A total of 1237 patients enrolled from the SEER database were randomly divided into the training group (n = 867) and the test group (n = 370). Univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors (P <0.05). Tumor size, age, metastasis status, and LNR were selected as independent predictors of overall survival (OS) and cancer-specific survival (CSS). Finally, two nomograms were developed, the predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the training group were 0.828 and 0.904, respectively. The predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the test group were 0.813 and 0.828.Conclusion Nomograms constructed by using various clinical variables can make more comprehensive and accurate predictions for MTC patients who undergo total thyroidectomy and neck lymph nodes. These predictive nomograms help identify postoperative high-risk MTC patients and facilitate patient counseling on clinical prognosis and follow-up.

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Development of a novel prognostic signature for predicting the overall survival of bladder cancer patients

Bioscience Reports ◽

10.1042/bsr20194432 ◽

2020 ◽

Vol 40 (6) ◽

Author(s):

Huamei Tang ◽

Lijuan Kan ◽

Tong Ou ◽

Dayang Chen ◽

Xiaowen Dou ◽

...

Keyword(s):

Dna Methylation ◽

Overall Survival ◽

Bladder Cancer ◽

Cancer Patients ◽

Cox Regression ◽

Test Group ◽

Training Group ◽

The Cancer Genome Atlas ◽

Methylation Site ◽

Cox Regression Analysis

Abstract Background: Bladder cancer is one of the most common malignancies. So far, no effective biomarker for bladder cancer prognosis has been identified. Aberrant DNA methylation is frequently observed in the bladder cancer and holds considerable promise as a biomarker for predicting the overall survival (OS) of patients. Materials and methods: We downloaded the DNA methylation and transcriptome data for bladder cancer from The Cancer Genome Atlas (TCGA), a public database, screened hypo-methylated and up-regulated genes, similarly, hyper-methylation with low expression genes, then retrieved the relevant methylation sites. Cox regression analysis was used to identify a nine-methylation site signature of a training group. Predictive ability was validated in a test group by receiver operating characteristic (ROC) analysis. Results: We identified nine bladder cancer-specific methylation sites as potential prognostic biomarkers and established a risk score system based on the methylation site signature to evaluate the OS. The performance of the signature was accurate, with area under curve was 0.73 in the training group and 0.71 in the test group. Taking clinical features into consideration, we constructed a nomogram consisting of the nine-methylation site signature and patients’ clinical variables, and found that the signature was an independent risk factor. Conclusions: Overall, the significant nine methylation sites could be novel prediction biomarkers, which could aid in treatment and also predict the overall survival likelihoods of bladder cancer patients.

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Postoperative Nomogram for Predicting Cancer-Specific and Overall Survival among Patients with Medullary Thyroid Cancer

International Journal of Endocrinology ◽

10.1155/2020/8888677 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13

Author(s):

Li Chen ◽

Yizeng Wang ◽

Ke Zhao ◽

Yuyun Wang ◽

Xianghui He

Keyword(s):

Overall Survival ◽

Lymph Nodes ◽

Total Thyroidectomy ◽

Cox Regression ◽

Test Group ◽

Training Group ◽

Seer Database ◽

Cancer Specific Survival ◽

Lymph Nodes Dissection ◽

Neck Lymph Nodes

Background. Medullary thyroid carcinoma (MTC) accounts for 1%–2% of thyroid cancer in the United States based on the latest Surveillance, Epidemiology, and End Results (SEER) data, and this study aimed to construct a comprehensive predictive nomogram based on various clinical variables in MTC patients who underwent total thyroidectomy and neck lymph nodes dissection. Methods. Data regarding 1,237 MTC patients who underwent total thyroidectomy and neck lymph nodes dissection from 2004 to 2015 were obtained from the SEER database. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent predictors. These independent factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year overall survival, and cancer-specific survival among these MTC patients. Result. A total of 1,237 patients enrolled from the SEER database were randomly divided into the training group (n = 867) and the test group (n = 370). Univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors ( P < 0.05 ). Tumor size, age, metastasis status, and LNR were selected as independent predictors of overall survival (OS) and cancer-specific survival (CSS). Finally, two nomograms were developed, and the predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the training group was 0.828 and 0.904, respectively. The predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the test group was 0.813 and 0.828. Conclusion. Nomograms constructed by using various clinical variables can make more comprehensive and accurate predictions for MTC patients who underwent total thyroidectomy and neck lymph nodes. These predictive nomograms help identify postoperative high-risk MTC patients and facilitate patient counseling on clinical prognosis and follow-up.

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Identification and Validation of a Novel Clinical Signature to Predict the Prognosis in Confirmed Coronavirus Disease 2019 Patients

Clinical Infectious Diseases ◽

10.1093/cid/ciaa793 ◽

2020 ◽

Cited By ~ 1

Author(s):

Shangrong Wu ◽

Zhiguo Du ◽

Sanying Shen ◽

Bo Zhang ◽

Hong Yang ◽

...

Keyword(s):

Risk Model ◽

Cox Regression ◽

Prognostic Biomarker ◽

Risk Group ◽

Test Group ◽

Training Group ◽

Low Risk ◽

Rank Test ◽

Log Rank Test ◽

Disease Prognosis

Abstract Background Our aim in this study was to identify a prognostic biomarker to predict the disease prognosis and reduce the mortality rate of coronavirus disease 2019 (COVID-19), which has caused a worldwide pandemic. Methods COVID-19 patients were randomly divided into training and test groups. Univariate and multivariate Cox regression analyses were performed to identify the disease prognosis signature, which was selected to establish a risk model in the training group. The disease prognosis signature of COVID-19 was validated in the test group. Results The signature of COVID-19 was combined with the following 5 indicators: neutrophil count, lymphocyte count, procalcitonin, age, and C-reactive protein. The signature stratified patients into high- and low-risk groups with significantly relevant disease prognosis (log-rank test, P < .001) in the training group. The survival analysis indicated that the high-risk group displayed substantially lower survival probability than the low-risk group (log-rank test, P < .001). The area under the receiver operating characteristic (ROC) curve showed that the signature of COVID-19 displayed the highest predictive accuracy regarding disease prognosis, which was 0.955 in the training group and 0.945 in the test group. The ROC analysis of both groups demonstrated that the predictive ability of the signature surpassed the use of each of the 5 indicators alone. Conclusions The signature of COVID-19 presents a novel predictor and prognostic biomarker for closely monitoring patients and providing timely treatment for those who are severely or critically ill.

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