scholarly journals Development and Validation of Prognostic Nomograms for Patients with Parotid Gland Adenocarcinoma Not Otherwise Specified: A SEER Analysis From 2004 To 2016

2021 ◽  
Author(s):  
Zi-Meng Wang ◽  
Zuo-Lin Xiang
Keyword(s):  
Parotid Gland ◽  
Prediction Models ◽  
Cox Regression ◽  
Clinicopathological Characteristics ◽  
Prognostic Indicators ◽  
Regression Analyses ◽  
Cancer Specific Survival ◽  
T Stage ◽  
Not Otherwise Specified ◽  
N Stage

Abstract Background Parotid gland adenocarcinoma not otherwise specified (PANOS) is a rare malignancy, and the characteristics and prognosis of this disease remain unclear. This study aims to characterize PANOS and establish prognostic prediction models for patients with PANOS. Methods Cases from 2004–2016 were retrieved from the Surveillance, Epidemiology, and End Results Program database (SEER database). Univariate and multivariate Cox regression analyses, Gray's test and propensity score matching (PSM) were conducted to analyze demographics, treatments, and survival outcomes . Results The 446 patients ( 289 men) selected for analysis had a median age of 66 (19–95) years, and 307 patients were diagnosed with stage III/IV disease. The median survival of all patients was 66 months, with a 51.8% 5-year overall survival (OS) rate. Surgical treatment clearly improved survival time (p < 0.001). In the subgroup analysis, radiotherapy showed survival benefits in patients with advanced-stage disease (III/IV) (p < 0.001). Multivariate Cox regression analyses revealed that age, T stage, N stage, M stage and surgery were independent prognostic indicators for OS;T stage, N stage, M stage and surgery were independent risk factors for cancer-specific survival(CSS).In addition, age was independently associated with noncancer-related death. Two nomograms were established based on the results of the multivariate analysis, which was validated by the concordance index (C-index) (0.747 and 0.780 for OS and CSS, respectively) and the area under the time-dependent receiver operating characteristic(ROC) curve(0.756, 0.764 and 0.819 regarding for nomograms predicting 3-, 5- and 10- year OS, respectively and 0.794, 0.789 and 0.806 for CSS, respectively). Conclusions Our study clearly presents the clinicopathological characteristics and survival analysis of patients with PANOS. In addition, our constructed nomogram prediction models may assist physicians in evaluating the individualized prognosis and deciding on treatment for patients.

scholarly journals Establishment and Validation of Prognostic Nomograms for Patients With Parotid Gland Adenocarcinoma Not Otherwise Specified: A SEER Analysis From 2004 to 2016

2022 ◽  
Vol 8 ◽  
Author(s):  
Zi-Meng Wang ◽  
Zuo-Lin Xiang
Keyword(s):  
Parotid Gland ◽  
Survival Time ◽  
Prediction Models ◽  
Cox Regression ◽  
Stage Iii ◽  
Prognostic Indicators ◽  
Cancer Specific Survival ◽  
Not Otherwise Specified ◽  
N Classification ◽  
T Classification

Background: Parotid gland adenocarcinoma not otherwise specified (PANOS) is a rare malignant tumor with limited data on its characteristics and prognosis. This research is aimed at characterizing PANOS and developing prognostic prediction models for patients with PANOS.Methods: Cases from 2004–2016 were selected from the Surveillance, Epidemiology, and End Results (SEER) Program database. Univariate and multivariate Cox regression were applied to ascertain the factors associated with survival. Competing risk analysis and Gray's tests were employed to analyze cancer-specific death. Propensity score matching (1:1) was conducted to reduce the influence of confounding variables.Results: A total of 446 patients with a median age of 66 years were selected, of which 307 were diagnosed with stage III/IV PANOS. The 5-year overall survival (OS) rate of all patients was 51.8%, and the median survival time was 66 months. Surgical treatment clearly improved survival time (p &lt; 0.001). In the subgroup analysis, radiotherapy showed survival benefits in patients with stage III/IV disease (p &lt; 0.001). Multivariate Cox regression analyses showed that age, T classification, N classification, M classification and surgery were independent prognostic indicators for OS; T classification, N classification, M classification and surgery were independent risk factors for cancer-specific survival (CSS). In addition, age was independently associated with other cause-specific death. Based on the results of multivariate analysis, two nomograms were developed and verified by the concordance index (C-index) (0.747 and 0.780 for OS and CSS) and the area under the time-dependent receiver operating characteristic (ROC) curve (0.756, 0.764, and 0.819 regarding for nomograms predicting 3-, 5-, and 10- year OS, respectively and 0.794, 0.789, and 0.806 for CSS, respectively).Conclusions: Our study clearly presents the clinicopathological features and survival analysis of patients with PANOS. In addition, our constructed nomogram prediction models may assist physicians in evaluating the individualized prognosis and deciding on treatment for patients.

scholarly journals Exploration of a Modified Stage for pN0 Colon Cancer Patients

2021 ◽  
Author(s):  
Yunxiao Liu ◽  
Hao Zhang ◽  
Yuliuming Wang ◽  
Mingyu Zheng ◽  
Chunlin Wang ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Validation Cohort ◽  
Predictive Accuracy ◽  
Model Fitting ◽  
Cancer Specific Survival ◽  
T Stage ◽  
N Stage ◽  
Medical University

Abstract Purpose: Exploring a modified stage (mStage) for pN0 colon cancer patients.Methods: 39637 pN0 colon cancer patients were collected from the SEER database (2010-2015) (development cohort) and 455 pN0 colon cancer patients from the Second Affiliated Hospital of Harbin Medical University (2011-2015) (validation cohort). The optimal lymph nodes examined (LNE) stratification for cancer-specific survival (CSS) was obtained by X-tile software. LNE is combined with conventional T stage to form the mStage.Results: The novel N stage was built based on the LNE (N0a: LNE ≥ 26, N0b: LNE = 10-25 and N0c: LNE < 10). The mStage include mStageA (T1N0a, T1N0b, T1N0c and T2N0a), mStageB (T2N0b, T2N0c and T3N0a), mStageC (T3N0b), mStageD (T3N0c, T4aN0a and T4bN0a), mStageE (T4aN0b and T4bN0b) and mStageF (T4aN0c and T4bN0c). Cox regression model showed that mStage was an independent prognostic factor. AUC showed that the predictive accuracy of mStage was better than the conventional T stage for 5-year CSS in the development (0.700 vs 0.678, P < 0.001) and validation cohort (0.649 vs 0.603, P = 0.018). The C-index also showed that mStage had a superior model-fitting.Conclusions: For pN0 colon cancer patients, mStage might be superior to conventional T stage in predicting the prognosis.

scholarly journals Incidence and Prognostic Factors of Primary Thyroid Lymphoma and Construction of Prognostic Models for Post-chemotherapy and Postoperative Patients: A Population-based Study

2020 ◽  
Author(s):  
Nan Xiang ◽  
Fangyuan Dong ◽  
Xuebing Zhan ◽  
Shuhan Wang ◽  
Junjie Wang ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Prediction Models ◽  
Cox Regression ◽  
Prognostic Models ◽  
Steady Increase ◽  
Thyroid Lymphoma ◽  
Annual Percent Change ◽  
Cancer Specific Survival ◽  
Good Reliability ◽  
Primary Thyroid Lymphoma

Abstract Background: Primary thyroid lymphoma (PTL) is a rare thyroid malignancy, there are few large sample studies on PTL and no standardized treatment regimen has been established due to the rarity. Objective: The aims of this study were to explore the incidence and prognostic factors of PTL and construct visual prognostic prediction models for post-chemotherapy and postoperative patients.Methods: The incidence of PTL in 1975-2017 was extracted from the US Surveillance, Epidemiology, and End Results (SEER) database, then assessed using joinpoint regression software. A total of 1,616 eligible PTL patients diagnosed in 1998-2016 were brought into prognostic analysis. Multivariate Cox regression analyses were carried out to reveal independent prognostic elements for overall survival (OS) and cancer-specific survival (CSS).Results: PTL incidence showed a relatively steady increase in 1975-1994, which annual percent change (APC) was 4.0%, and steady decreasing in 1994-2017(APC -2.4%). Age, marital status, lymphoma Ann Arbor stage, histological subtypes, surgery, chemotherapy, and radiation were significantly correlated to OS and CSS. The combination of radiotherapy with chemotherapy or surgery was beneficial to the prognosis of patients. Nomograms were constructed to predict OS and CSS in post-chemotherapy and postoperative PTL patients separately, and were verified to have good reliability.Conclusions: The incidence of PTL increased and subsequently decreased. We revealed the prognostic implications and constructed reliable nomograms for post-chemotherapy and postoperative PTL patients.

scholarly journals Lymph Node Dissections for T3T4 Stage Penile Cancer Patients Without Preoperatively Detectable Lymph Node Metastasis Bring More Survival Benefits: A Propensity Matching Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Han Li ◽  
Yucheng Ma ◽  
Zhongyu Jian ◽  
Xi Jin ◽  
Liyuan Xiang ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Penile Cancer ◽  
Cox Regression ◽  
Regression Analyses ◽  
Node Dissection ◽  
Cancer Specific Survival ◽  
Node Metastasis ◽  
Propensity Matching

Background and AimsThe current guidelines for the treatment of penile cancer patients with clinically non-invasive normal inguinal lymph nodes are still broad, so the purpose of this study is to determine which patients are suitable for lymph node dissection (LND).MethodsHistologically confirmed penile cancer patients (primary site labeled as C60.9-Penis) from 2004 to 2016 in the Surveillance, Epidemiology, and Results database were included in this analysis. Univariate and multivariate Cox regression analyses were applied to determine an overall estimate of LND on overall survival and cancer-specific survival. A 1:1 propensity matching analysis (PSM) was applied to enroll balanced baseline cohort, and further Kaplan–Meier (KM) survival analysis was used to get more reliable results.ResultsOut of 4,458 histologically confirmed penile cancer patients with complete follow-up information, 1,052 patients were finally enrolled in this analysis. Age, pathological grade, T stage, and LND were identified as significant predictors for overall survival (OS) in the univariate Cox analysis. In the multivariate Cox regression, age, pathological grade, T stage, and LND were found significant. The same results were also found in the univariate and multivariate Cox regression analyses for cancer-specific survival (CSS). After the successful PSM, further KM analysis revealed that LND could bring significant OS and CSS benefits for T3T4 patients without lymph node metastasis.ConclusionLymph node dissection may bring survival benefits for penile cancer patients without preoperatively detectable lymph node metastasis, especially for T3T4 stage patients. Further randomized control trial is needed.

scholarly journals De Ritis Ratio (Aspartate Transaminase/Alanine Transaminase) as a Significant Prognostic Factor in Patients Undergoing Radical Cystectomy with Bladder Urothelial Carcinoma: A Propensity Score-Matched Study

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Hyeong Dong Yuk ◽  
Chang Wook Jeong ◽  
Cheol Kwak ◽  
Hyeon Hoe Kim ◽  
Ja Hyeon Ku
Keyword(s):  
Prognostic Factor ◽  
Propensity Score ◽  
Radical Cystectomy ◽  
Cox Regression ◽  
Alanine Transaminase ◽  
Significant Prognostic Factor ◽  
Aspartate Transaminase ◽  
Cancer Specific Survival ◽  
T Stage ◽  
Kaplan Meier

Introduction. To investigate the correlation between preoperative De Ritis ratio (aspartate transaminase (AST)/alanine transaminase (ALT)) and postoperative outcome in patients with urothelial cell carcinoma (UC) treated with radical cystectomy. Materials and Methods. We analyzed the clinical and pathological data of 771 patients who underwent radical cystectomy for bladder UC. Patients were divided into two groups according to the optimal value of AST/ALT ratio. The effect of the AST/ALT ratio was analyzed using the Kaplan–Meier method and Cox regression hazard models for patients’ cancer-specific survival (CSS), overall survival (OS), and recurrence-free survival (RFS). In addition, propensity score matching of 1 : 1 was performed between the two groups. Results. Median follow-up was 84.0 (36–275) months. Mean age was 64.8±10.0 years. According to the receiver operating characteristic (ROC) analysis, the optimal threshold of the AST/ALT ratio was 1.1. In Kaplan–Meier analyses, the high AST/ALT group showed worse outcomes in CSS and OS (all P<0.001). Also, RFS (P=0.001) in the Cox regression models of clinical and pathological parameters was used to predict CSS, OS, and AST/ALT ratio (HR 2.15, 95% CI 1.23-3.73, P=0.007) and pathological T stage (HR 4.80, 95% CI 1.19-19.28, P=0.003). To predict OS and AST/ALT ratio (HR 2.05, 95% CI 1.65–2.56, P<0.001), pathological T stage (HR 2.96, 95% CI 0.57–17.09, P=0.037) and positive lymph node (HR 1.71, 95% CI 1.50–1.91, P=0.021) were determined as independent prognostic factors. Conclusion. Preoperative AST/ALT ratio could be an independent prognostic factor in patients with UC treated with radical cystectomy.

scholarly journals Nomograms Predicting Long-Term Overall Survival and Cancer-Specific Survival in Metastatic Hepatocellular Carcinoma Patients

2020 ◽  
Author(s):  
Chi Cui ◽  
Yaru Duan ◽  
Rui Li ◽  
Hua Ye ◽  
Peng Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Cox Regression ◽  
Training Group ◽  
Clinicopathological Characteristics ◽  
Validation Group ◽  
Cancer Specific Survival ◽  
Term Survival ◽  
Metastatic Hepatocellular Carcinoma

Abstract Background This study aims to evaluate the clinicopathological characteristics of metastatic hepatocellular carcinoma (HCC) patients and develop nomograms to predict their long-term overall survival (OS) and cancer-specific survival (CSS). Methods Information on metastatic HCC from 2010 to 2015 was retrieved from the Surveillance, Epidemiology and End Results (SEER) program of the National Cancer Institute. The metastatic HCC patients were divided into a long-term survival (LTS) group and a short-term survival (STS) group with 1 year selected as the cut-off value. Then, we compared the demographic and clinicopathological features between the two groups. Next, all patients were randomly divided into a training group and validation group at a 7:3 ratio. Univariate and multivariate Cox regression analyses were used to identify potential predictors for OS and CSS in the training group, and nomograms of OS and CSS were established. These predictive models were further validated in the validation group. Results A total of 2163 patients were included in the current study according to the inclusion and exclusion criteria. Patients with characteristics including lower T stage and N stage; treatment with surgery, radiation or chemotherapy; no lung metastasis; and AFP negative status showed better survival. The concordance index (C-index) of the OS nomogram was 0.72 based on 9 variables. The C-index of the CSS nomogram was 0.71 based on 8 variables. Conclusions These nomograms may help clinicians make better treatment recommendations for metastatic HCC patients.

scholarly journals Conditional Survival After Surgical Resection of Appendiceal Tumors: a Population-based Study

2021 ◽  
Author(s):  
Shutao Zhao ◽  
Chang Lu ◽  
Junan Li ◽  
Chao Zhang ◽  
Xudong Wang
Keyword(s):  
Prognostic Factors ◽  
Cox Regression ◽  
Population Based ◽  
Conditional Survival ◽  
Seer Database ◽  
Cancer Specific Survival ◽  
Population Based Study ◽  
Factors Affecting ◽  
Probability Of Survival ◽  
N Stage

Abstract Background: This study aimed to evaluate the conditional survival (CS) of appendiceal tumors (ATs) after surgery.Methods: A total of 3,031 patients with ATs who underwent surgery were included in the Surveillance Epidemiology and End Results (SEER) database from 2004 to 2016. A multivariate Cox regression model was used to analyze the prognostic factors affecting overall survival (OS) and cancer-specific survival (CSS). CS was used to calculate the probability of survival for another 3 years after the patient had survived x years. The formulas were COS3 = OS (x + 3) /OS (x), and CCS3 = CSS (x + 3)/CSS (x).Results: The 1-year, 3-year, and 5-year OSs for all patients were 95.6%, 83.3%, and 73.9%, respectively, while the 1-year, 3-year, and 5-year CSSs were 97.0%, 87.1%, and 79.9%, respectively. Age, grade, histology, N stage, carcinoembryonic antigen (CEA), and radiation were independent prognostic factors for OS and CSS. For patients that survived for 1 year, 3 years, and 5 years, their COS3s were 81.7%, 83.9%, and 87.0%, respectively. The CCS3s were 85.5%, 88.3%, and 92.0% respectively. In patients with poor clinicopathological factors, COS3 and CCS3 increased significantly, and the survival gap between OS and COS3, CSS and CCS3 was more obvious.Conclusions: CS for appendiceal tumors were dynamic and increased over time, especially in patients with poor prognosis.

scholarly journals Development and Validation of Nomograms to Predict Prognosis of Oral and Oropharyngeal Mucoepidermoid Carcinoma: A SEER-Based Study

2020 ◽  
Author(s):  
muyuan liu ◽  
Litian Tong ◽  
Manbin Xu ◽  
Xiang Xu ◽  
Bin Liang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Mucoepidermoid Carcinoma ◽  
Cox Regression ◽  
Seer Database ◽  
Disease Specific Survival ◽  
Cox Regression Analysis ◽  
T Stage ◽  
N Stage ◽  
Disease Specific

Abstract Background: Due to the low incidence of mucoepidermoid carcinoma, there lacks sufficient studies for determining optimal treatment and predicting prognosis. The purpose of this study was to develop prognostic nomograms, to predict overall survival and disease-specific survival (DSS) of oral and oropharyngeal mucoepidermoid carcinoma patients, using the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database. Methods: Clinicopathological and follow-up data of patients diagnosed with oral and oropharyngeal mucoepidermoid carcinoma between 2004 and 2017 were collected from the SEER database. The Kaplan-Meier method with the log-rank test was employed to identify single prognostic factors. Multivariate Cox regression was utilized to identify independent prognostic factors. C-index, area under the ROC curve (AUC) and calibration curves were used to assess performance of the prognostic nomograms. Results: A total of 1230 patients with oral and oropharyngeal mucoepidermoid carcinoma were enrolled in the present study. After multivariate Cox regression analysis, age, sex, tumor subsite, T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for overall survival. T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for disease-specific survival. Nomograms were constructed to predict the overall survival and disease-specific survival based on the independent prognostic factors. The fitted nomograms possessed excellent prediction accuracy, with a C-index of 0.899 for OS prediction and 0.893 for DSS prediction. Internal validation by computing the bootstrap calibration plots, using the validation set, indicated excellent performance by the nomograms. Conclusion: The prognostic nomograms developed, based on individual clinicopathological characteristics, in the present study, accurately predicted the overall survival and disease-specific survival of patients with oral and oropharyngeal mucoepidermoid carcinoma.

Tumor site, clinicopathological characteristics, and survival of patients undergoing primary elective colorectal cancer resection.

2016 ◽  
Vol 34 (4_suppl) ◽  
pp. 585-585
Author(s):  
James Hugh Park ◽  
Joanne Edwards ◽  
Campbell S.D. Roxburgh ◽  
Donald C. Mcmillan ◽  
Paul G. Horgan
Keyword(s):  
Colorectal Cancer ◽  
Splenic Flexure ◽  
Prognostic Value ◽  
Venous Invasion ◽  
Clinicopathological Characteristics ◽  
Advanced Age ◽  
Tumor Site ◽  
Margin Involvement ◽  
T Stage ◽  
N Stage

585 Background: Cancers arising in the proximal and distal colorectum differ in embryological origin, predisposing genetic and epigenetic mutations, clinicopathological characteristics and survival. However, the effect of tumor site on the prognostic value of clinicopathological characteristics and systemic inflammatory responses (SIR) is not known. The present study aims to examine the relationship between tumor site, clinicopathological characteristics and cancer-specific survival (CSS) in patients undergoing elective colorectal cancer (CRC) resection. Methods: Patients who had undergone elective, primary resection of stage I-III CRC (1997-2013) were included. Tumors were categorized as proximal (cecum to splenic flexure) or distal (splenic flexure to rectum) based on pathological reports. SIR was assessed using modified Glasgow Prognostic Score (mGPS; 0-CRP < 10mg/L, 1-CRP > 10mg/L, 2-CRP > 10mg/L and albumin < 35g/L). Results: 796 patients were included; 302 tumors were proximal and 494 were distal to the splenic flexure. Proximal location was associated with advanced age, T stage, poor differentiation, greater lymph node yield, peritoneal involvement and an increased mGPS (all P< 0.01). In all patients, on multivariate survival analysis, distal tumor site, advanced age, T stage, N stage, venous invasion, margin involvement and mGPS were independently associated with reduced CSS (all P< 0.05). In patients with proximal cancer, only age (HR 1.8, P= 0.001), T stage (HR 1.9, P= 0.009), N stage (HR 1.9, P< 0.001) and mGPS (HR 1.6, P= 0.004) were associated with CSS, whereas in patients with distal CRC, T stage (HR 1.4, P= 0.024), N stage (HR 1.5, P= 0.001), venous invasion (HR 1.5, P= 0.038), margin involvement (HR 4.1, P< 0.001) and mGPS (HR 1.5, P= 0.003) were associated with survival. Conclusions: In the present study, tumor site was associated with distinct clinicopathological characteristics. Furthermore, the prognostic value of pathological characteristics currently employed in tumor staging, such as venous invasion and margin involvement, differed with tumor site, whereas evaluation of the SIR was similarly prognostic in patients with proximal and distal CRC.

scholarly journals Incidence and prognostic factors of primary thyroid lymphoma and construction of prognostic models for post-chemotherapy and postoperative patients: a population-based study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nan Xiang ◽  
Fangyuan Dong ◽  
Xuebing Zhan ◽  
Shuhan Wang ◽  
Junjie Wang ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Prediction Models ◽  
Cox Regression ◽  
Prognostic Models ◽  
Steady Increase ◽  
Thyroid Lymphoma ◽  
Annual Percent Change ◽  
Cancer Specific Survival ◽  
Good Reliability ◽  
Primary Thyroid Lymphoma

Abstract Background Primary thyroid lymphoma (PTL) is a rare thyroid malignancy, there are few large sample studies on PTL and no standardized treatment regimen has been established due to the rarity. The aims of this study were to explore the incidence and prognostic factors of PTL and construct visual prognostic prediction models for post-chemotherapy and postoperative patients. Methods The incidence of PTL in 1975–2017 was extracted from the US Surveillance, Epidemiology, and End Results (SEER) database, then assessed using joinpoint regression software. A total of 1616 eligible PTL patients diagnosed in 1998–2016 were brought into prognostic analysis. Multivariate Cox regression analyses were carried out to reveal independent prognostic elements for overall survival (OS) and cancer-specific survival (CSS). Results PTL incidence showed a relatively steady increase in 1975–1994, which annual percent change (APC) was 4.0%, and steady decreasing in 1994–2017(APC − 2.4%). Age, marital status, lymphoma Ann Arbor stage, histological subtypes, surgery, chemotherapy, and radiation were significantly correlated to OS and CSS. Nomograms were constructed to predict OS and CSS in post-chemotherapy and postoperative PTL patients separately, and were verified to have good reliability. Conclusions The incidence of PTL increased and subsequently decreased. We revealed the prognostic implications and constructed reliable nomograms for post-chemotherapy and postoperative PTL patients.

Sign in / Sign up

Export Citation Format

Share Document