Nomogram predicting long-term overall survival and cancer-specific survival of lip carcinoma patients based on the SEER database

Objective: To investigate and document the surgical, functional and oncological outcomes following surgery for high-risk prostate cancer patients. Patients and methods: Patients with pathological T3a, T3b and N1 disease were extracted from our prospectively updated institutional database. Data include demographics, preoperative cancer parameters, short and long-term complications and functional results. Details of biochemical recurrence, type and oncological outcome of salvage treatments, cancer-specific and overall survival were also obtained. Results: A total of 669 patients were included; 58.9% had T3a disease, 35.9% had pT3b and 11.4% N1 disease. With a median follow-up of 66 months (8–129), overall survival was 94.3%, cancer-specific survival was 98.7% and biochemical recurrence was 45.6%. Average inpatient stay was 1 day and the overall complication rate was 9.1%; 54.2% experienced a biochemical recurrence and 90.3% went on to have one or more salvage treatments, which were varied. Significant predictors of biochemical recurrence included pathological stage, any positive margin and patient age ( P<0.005). A total of 44.9% had an immediate biochemical recurrence, with 90% receiving subsequent treatment and 20.5% having a durable response. None of the patients receiving prostate bed radiotherapy alone had a durable response. 54% had a delayed biochemical recurrence, with 63.5% receiving subsequent treatment and 44% having a durable response. Conclusions: Surgery is associated with encouraging surgical and functional outcomes, cancer-specific survival and overall survival rates in these patients. Pathological stage is a significant predictor of biochemical recurrence. The present analysis shows that long-term observation for certain patients with biochemical recurrence is appropriate and questions the effectiveness of further local salvage treatments in patients with an immediate biochemical recurrence postoperatively. Level of evidence: II

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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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Peer Review #2 of "Nomograms for predicting overall survival and cancer-specific survival in young patients with pancreatic cancer in the US based on the SEER database (v0.2)"

10.7287/peerj.8958v0.2/reviews/2 ◽

2020 ◽

Keyword(s):

Pancreatic Cancer ◽

Overall Survival ◽

Peer Review ◽

Young Patients ◽

Seer Database ◽

Cancer Specific Survival ◽

The Us

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

10.21203/rs.3.rs-31444/v1 ◽

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.

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The impact of surgery on long-term survival of patients with primary intestinal non-Hodgkin lymphomas based on SEER database

Scientific Reports ◽

10.1038/s41598-021-02597-1 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Cuifen Zhang ◽

Xiaohong Zhang ◽

Zeyu Liu ◽

Jiahao Tao ◽

Lizhu Lin ◽

...

Keyword(s):

Multivariate Regression Analysis ◽

Confounding Factors ◽

Seer Database ◽

Cancer Specific Survival ◽

Term Survival ◽

Non Hodgkin Lymphoma ◽

Before And After ◽

The Impact ◽

Specific Impact

AbstractEvidence regarding the need for surgery for primary intestinal non-Hodgkin lymphoma (PINHL) patients with chemotherapy is limited and controversial. We aimed to investigate the specific impact of surgery on survival of PINHL patients. Data from PINHL patients (aged > 18 years) with chemotherapy between 1983 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We concerned about overall survival (OS) and improved cancer-specific survival (CSS). Propensity score matching (PSM) analysis was also used to explore the reliability of the results to further control for confounding factors. Finally, we screened 3537 patients. Multivariate regression analysis showed that patients with surgery and chemotherapy had better OS (hazard ratio [HR] 0.83; 95% confidence interval [CI] 0.75–0.93; p = 0.0009) and CSS (HR 0.87; 95% CI 0.77–0.99; p = 0.0404) compared with the non-operation group after adjusting for confounding factors. After PSM analysis, compared with non-surgery, surgery remained associated with improved OS (HR 0.77; 95% CI 0.68–0.87; p < 0.0001) and improved CSS (HR 0.82; 95% CI 0.72–0.95; p = 0.008) adjusted for baseline differences. In the large cohort of PINHL patients with chemotherapy older than 18 years, surgery was associated with significantly improved OS and CSS before and after PSM analysis.

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Potential Risk of Other-Cause Mortality Due to Long-Term Androgen Deprivation Therapy in Elderly Patients with Clinically Localized Prostate Cancer Treated with Radiotherapy—A Confirmation Study

Journal of Clinical Medicine ◽

10.3390/jcm9072296 ◽

2020 ◽

Vol 9 (7) ◽

pp. 2296

Author(s):

Hideya Yamazaki ◽

Koji Masui ◽

Gen Suzuki ◽

Norihiro Aibe ◽

Daisuke Shimizu ◽

...

Keyword(s):

Prostate Cancer ◽

Overall Survival ◽

Survival Rate ◽

Elderly Patients ◽

Androgen Deprivation Therapy ◽

Potential Risk ◽

External Beam Radiotherapy ◽

External Beam ◽

Cancer Specific Survival

Androgen deprivation therapy (ADT) is used to improve overall survival (OS) in prostate cancer treatment; however, we encountered that long-term ADT in elderly patients may be related to high other-cause mortality (OCM). This study aimed to confirm the potential risk associated with long-term ADT in elderly patients using a different large cohort. A comparison analysis was conducted between the ≥2- and <2-year ADT groups using open, large data from 1840 patients with clinically localized prostate cancer treated with radiotherapy (1172 treated with high-dose-rate brachytherapy (HDR) + external beam radiotherapy (EBRT) and 668 treated with external beam radiotherapy). The OCM-free survival (OCMFS), overall survival, and prostate cancer-specific survival rates were measured. The 10-year OCMFS rates in patients aged ≥75 years were 94.6% and 86% in the <2- and ≥2-year ADT groups, respectively, but were 96.3% and 93.5% (p = 0.0006) in their younger counterparts. If dividing into HDR and EBRT groups. This inclination was found in brachytherapy group but not in EBRT group. The overall survival rate was also lower in the elderly patients in the ≥2-year ADT group than in the <2-year ADT group; however, the 10-year prostate cancer-specific survival rate was the same in both groups. Long-term ADT in elderly patients resulted in not only higher OCM rates but also poorer OS rates; therefore, longer-term ADT in elderly patients should be performed with meticulous care.

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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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Prediction of Minor Salivary Gland Carcinoma: A Novel Nomogram and Risk Classification System for Overall Survival and Cancer-Specific Survival

Otolaryngology ◽

10.1177/0194599820938323 ◽

2020 ◽

pp. 019459982093832

Author(s):

Ling-feng lan ◽

Chen-kai Gao ◽

Chao-wu Ma

Keyword(s):

Overall Survival ◽

Salivary Gland ◽

Minor Salivary Gland ◽

Proportional Hazard ◽

Seer Database ◽

Concordance Index ◽

Salivary Gland Carcinoma ◽

Cancer Specific Survival ◽

Cox Proportional Hazard ◽

Gland Carcinoma

Objective Minor salivary gland carcinoma (MiSGC) is rare, and the understanding of this disease is insufficient. This study aimed to identify independent risk factors and develop a nomogram for evaluating the overall survival (OS) and cancer-specific survival (CSS) of patients with MiSGC. Study Design Retrospective cohort study. Setting SEER database (Surveillance, Epidemiology, and End Results). Subjects and Methods We collected data from patients diagnosed with MiSGC between 2004 and 2015 from the SEER database. According to patient registration, all patients were randomly allocated to training sets and validation sets (2:1). Then, Kaplan-Meier product limit curves and Cox proportional hazard regressions were performed to estimate the prognostic effect of variables. Nomograms based on Cox proportional hazard regressions were established to estimate 3- and 5-year OS and CSS. Finally, the nomogram was developed by the training set, and validation was performed with the concordance index, calibration curves, and decision curve analyses. Results In total, 1787 MiSGC cases were registered in SEER. The concordance index for internal validation of OS and CSS prediction was 0.842 and 0.816; that of external validation was 0.871 and 0.831. The calibration plots showed good consistency between nomogram prediction and actual survival. The decision curve analysis showed substantial net benefits of the new predictive model. Conclusions We constructed nomograms and a corresponding risk classification system predicting the OS and CSS of patients with MiSGC. These tools can generate simple-to-use clinical risk grouping and determine the relationship between adjuvant therapy and active surveillance.

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