Nomogram for predicting the overall survival and cancer-specific survival of patients with extremity liposarcoma: a population-based study

Abstract Background Extremity liposarcoma represents 25% of extremity soft tissue sarcoma and has a better prognosis than liposarcoma occurring in other anatomic sites. The purpose of this study was to develop two nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) of patients with extremity liposarcoma. Methods A total of 2170 patients diagnosed with primary extremity liposarcoma between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox analyses were performed to explore the independent prognostic factors and establish two nomograms. The area under the curve (AUC), C-index, calibration curve, decision curve analysis (DCA), Kaplan-Meier analysis, and subgroup analyses were used to evaluate the nomograms. Results Six variables were identified as independent prognostic factors for both OS and CSS. In the training cohort, the AUCs of the OS nomogram were 0.842, 0.841, and 0.823 for predicting 3-, 5-, and 8-year OS, respectively, while the AUCs of the CSS nomogram were 0.889, 0.884, and 0.859 for predicting 3-, 5-, and 8-year CSS, respectively. Calibration plots and DCA revealed that the nomogram had a satisfactory ability to predict OS and CSS. The above results were also observed in the validation cohort. In addition, the C-indices of both nomograms were significantly higher than those of all independent prognostic factors in both the training and validation cohorts. Stratification of the patients into high- and low-risk groups highlighted the differences in prognosis between the two groups in the training and validation cohorts. Conclusion Age, sex, tumor size, grade, M stage, and surgery status were confirmed as independent prognostic variables for both OS and CSS in extremity liposarcoma patients. Two nomograms based on the above variables were established to provide more accurate individual survival predictions for extremity liposarcoma patients and to help physicians make appropriate clinical decisions.

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A Novel Nomogram for Predicting Cancer-Specific Survival in Patients With Spinal Chordoma: A Population-Based Analysis

Technology in Cancer Research & Treatment ◽

10.1177/15330338211036533 ◽

2021 ◽

Vol 20 ◽

pp. 153303382110365

Author(s):

Zhangheng Huang ◽

Zhiyi Fan ◽

Chengliang Zhao ◽

He Sun

Keyword(s):

Prognostic Factors ◽

Area Under The Curve ◽

Risk Groups ◽

Population Based ◽

Disease Stage ◽

Survival Prediction ◽

Cancer Specific Survival ◽

Spinal Chordoma ◽

Prediction Of Prognosis ◽

High Degree

Background: Chordoma is a rare malignant bone tumor, and the survival prediction for patients with chordoma is difficult. The objective of this study was to construct and validate a nomogram for predicting cancer-specific survival (CSS) in patients with spinal chordoma. Methods: A total of 316 patients with spinal chordoma were identified from the SEER database between 1998 and 2015. The independent prognostic factors for patients with spinal chordoma were determined by univariate and multivariate Cox analyses. The prognostic nomogram was established for patients with spinal chordoma based on independent prognostic factors. Furthermore, we performed internal and external validations for this nomogram. Results: Primary site, disease stage, histological type, surgery, and age were identified as independent prognostic factors for patients with spinal chordoma. A nomogram for predicting CSS in patients with spinal chordoma was constructed based on the above 5 variables. In the training cohort, the area under the curve for predicting 1-, 3-, and 5-year CSS were 0.821, 0.856, and 0.920, respectively. The corresponding area under the curve in the validation cohort were 0.728, 0.804, and 0.839, respectively. The calibration curves of the nomogram showed a high degree of agreement between the predicted and the actual results, and the decision curve analysis further demonstrated the satisfactory clinical utility of the nomogram. Conclusions: The prognostic nomogram provides a considerably more accurate prediction of prognosis for patients with spinal chordoma. Clinicians can use it to categorize patients into different risk groups and make personalized treatment methods.

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Incidence, Risk Factors and Prognosis of T4a Gastric Cancer: A Population-Based Study

Frontiers in Medicine ◽

10.3389/fmed.2021.767904 ◽

2022 ◽

Vol 8 ◽

Author(s):

Zhiya Hu ◽

Ziyi Zuo ◽

Han Miao ◽

Zhijie Ning ◽

Youyuan Deng

Keyword(s):

Gastric Cancer ◽

Prognostic Factors ◽

Calibration Curve ◽

Tumor Size ◽

Area Under The Curve ◽

Risk Groups ◽

Lymph Node Involvement ◽

Population Based ◽

Signet Ring Cell ◽

Cancer Specific Survival

Background: T4a gastric cancer (GC) is a subtype of advanced GC (AGC), which urgently needs a comprehensive grade method for better treatment strategy choosing. The purpose of this study was to develop two nomograms for predicting the prognosis of patients with T4a GC.Methods: A total of 1,129 patients diagnosed as T4a GC between 2010 and 2015 were extracted from the Surveillance, Epidemiology, and End Result (SEER) program database. Univariate and multivariate Cox analyses were performed to explore the independent predictors and to establish nomogram for overall survival (OS) of the patients, whereas competing risk analyses were performed to find the independent predictors and to establish nomogram for cancer-specific survival (CSS) of the patients. The area under the curve (AUC), calibration curve, decision curve analysis (DCA), and Kaplan–Meier analysis were performed to evaluate the nomograms.Results: Older age, larger tumor size, black race, signet ring cell carcinoma (SRCC), more lymph node involvement, the absence of surgery, the absence of radiotherapy, and the absence of chemotherapy were identified as independent prognostic factors for both OS and CSS. In the training cohort, the AUCs of the OS nomogram were 0.760, 0.743, and 0.723 for 1-, 3-, and 5-year OS, whereas the AUCs of the CSS nomogram were 0.724, 0.703, and 0.713 for 1-, 3-, and 5-year CSS, respectively. The calibration curve and DCA indicated that both nomograms can effectively predict OS and CSS, respectively. The abovementioned results were also confirmed in the validation cohort. Stratification of the patients into high- and low-risk groups highlighted the differences in prognosis between the two groups both in training and in validation cohorts.Conclusions: Age, tumor size, race, histologic type, N stage, surgery status, radiotherapy, and chemotherapy were confirmed as independent prognostic factors for both OS and CSS in patients with T4a GC. Two nomograms based on the abovementioned variables were constructed to provide more accurate individual survival predictions for them.

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Breast Subtypes and Prognosis of Breast Cancer Patients With Initial Bone Metastasis: A Population-Based Study

Frontiers in Oncology ◽

10.3389/fonc.2020.580112 ◽

2020 ◽

Vol 10 ◽

Author(s):

Deyue Liu ◽

Jiayi Wu ◽

Caijin Lin ◽

Lisa Andriani ◽

Shuning Ding ◽

...

Keyword(s):

Breast Cancer ◽

Overall Survival ◽

Prognostic Factors ◽

Metastatic Breast Cancer ◽

Bone Metastasis ◽

Cancer Patients ◽

Metastatic Breast ◽

Risk Groups ◽

Population Based ◽

Breast Cancer Patients

BackgroundMetastatic breast cancer (MBC) is a highly heterogeneous disease and bone is one of the most common metastatic sites. This retrospective study was conducted to investigate the clinical features, prognostic factors and benefits of surgery of breast cancer patients with initial bone metastases.MethodsFrom 2010 to 2015, 6,860 breast cancer patients diagnosed with initial bone metastasis were analyzed from Surveillance, Epidemiology, and End Results (SEER) database. Univariate and Multivariable analysis were used to identify prognostic factors. A nomogram was performed based on the factors selected from cox regression result. Survival curves were plotted according to different subtypes, metastatic burdens and risk groups differentiated by nomogram.ResultsHormone receptor (HR) positive/human epidermal growth factor receptor 2 (HER2) positive patients showed the best outcome compared to other subtypes. Patients of younger age (<60 years old), white race, lower grade, lower T stage (<=T2), not combining visceral metastasis tended to have better outcome. About 37% (2,249) patients received surgery of primary tumor. Patients of all subtypes could benefit from surgery. Patients of bone-only metastases (BOM), bone and liver metastases, bone and lung metastases also showed superior survival time if surgery was performed. However, patients of bone and brain metastasis could not benefit from surgery (p = 0.05). The C-index of nomogram was 0.66. Cutoff values of nomogram point were identified as 87 and 157 points, which divided all patients into low-, intermediate- and high-risk groups. Patients of all groups showed better overall survival when receiving surgery.ConclusionOur study has provided population-based prognostic analysis in patients with initial bone metastatic breast cancer and constructed a predicting nomogram with good accuracy. The finding of potential benefit of surgery to overall survival will cast some lights on the treatment tactics of this group of patients.

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Treatment of Osteosarcoma from the spine: A population-based database study

10.21203/rs.3.rs-48048/v1 ◽

2020 ◽

Author(s):

Chao Tang ◽

Ruiliang Wang ◽

Hengyuan Xu ◽

Hailong Zhang

Keyword(s):

Overall Survival ◽

Surgical Treatment ◽

Logistic Regression Model ◽

Tumor Grade ◽

Population Based ◽

The Other ◽

Cancer Specific Survival ◽

Factors Associated ◽

Kaplan Meier ◽

Suitable Treatment

Abstract PurposeThe treatment of osteosarcoma of the spine remains controversial. Our aim is to explore the treatment of patients with spinal osteosarcoma.MethodsWe analyzed the date collected 727 spinal osteosarcoma patients from the Surveillance Epidemiology and End Results (SEER) databases between 1973 and 2015. X-tile software was performed to find the optimal cut-off values of age and economic income. Univariate and Multivariate Cox analyses were used to identify the independent prognostic factors. Logistic regression model was conducted to clear the factors associated to surgical compliance; Kaplan-Meier estimator method was adopted to analyze the Overall survival (OS) and Cancer-specific survival (CSS).ResultsAmong 727 eligible spinal osteosarcoma patients, 370 (50.9%) patients received surgical treatment, 357 (49.1%) cases without surgery. There were significant differences in the effects of age at diagnosis, SEER historic stage and tumor grade on surgical treatment (All P < 0.05). Surgery was an independent prognostic factor for OS and CSS of spinal osteosarcoma patients. Spinal osteosarcoma patients undergone surgery group showed favorable survival than the other group.ConclusionsSurgery can provide survival benefits for patients with osteosarcoma of the spine. Spinal osteosarcoma patients with undergone surgery have favorable survival and surgery can become a suitable treatment for patients.

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Survival outcomes and prognostic factors for ascending nasopharyngeal carcinoma (T4N0-1) receiving radiation therapy combined with chemotherapy: a population-based study from SEER database.

10.21203/rs.3.rs-22999/v1 ◽

2020 ◽

Author(s):

Fangzheng Wang ◽

Jiang Chuner ◽

Piao Yongfeng ◽

Wang Lei ◽

Yan Fengqin ◽

...

Keyword(s):

Radiation Therapy ◽

Prognostic Factors ◽

Nasopharyngeal Carcinoma ◽

Univariate Analysis ◽

Population Based ◽

Rank Test ◽

Survival Outcomes ◽

Cancer Specific Survival ◽

Kaplan Meier ◽

Cox Proportional Hazard Models

Abstract Purpose This study aims to investigate survival outcomes and prognostic factors for upward nasopharyngeal carcinoma (NPC) patients receiving radiation therapy (RT) combined with chemotherapy (CT). Methods A total of 421 previously untreated, newly diagnosed T4N0-1 NPC patients, who were identified within the Surveillance, Epidemiology, and End Results (SEER) registry (years 2004–2015), were collected and retrospectively reviewed. All patients received treatment of RT and CT. Kaplan-Meier analysis was used to evaluate overall survival (OS) and cancer-specific survival (CSS). The differences in OS and CSS were compared using Log-rank test. The independent prognostic factors were established by using univariate and multivariate Cox proportional hazard models. Results With a median follow-up duration of 37 months (range: 3-154 months), the 5-year estimate OS and CSS rates were 59.3% and 63.7%, respectively. N0 and ≥ 65 years were poor prognostic factors for OS and CSS. Moreover, histology and race were associated with OS and CSS. Univariate analysis indicated that ≥ 65 years, N0, NHB and grade III were unfavorable independent prognosticators of OS and CSS. Multivariate analysis demonstrated that ≥ 65 years, N0 and NHB were correlated with poor OS and CSS. Conclusion Patients with stage T4N0-1 NPC receiving RT plus CT had favorable OS and CSS. Moreover, age, N stage and race were independent prognostic factors of OS and CSS.

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Treatment of Osteosarcoma from the Spine: A Population-Based Database Study

10.21203/rs.3.rs-52513/v1 ◽

2020 ◽

Author(s):

Chao Tang ◽

Ruiliang Wang ◽

Hengyuan Xu ◽

Hailong Zhang

Keyword(s):

Overall Survival ◽

Surgical Treatment ◽

Logistic Regression Model ◽

Tumor Grade ◽

Population Based ◽

The Other ◽

Cancer Specific Survival ◽

Factors Associated ◽

Kaplan Meier ◽

Suitable Treatment

Abstract PurposeThe treatment of osteosarcoma of the spine remains controversial. Our aim is to explore the treatment of patients with spinal osteosarcoma. MethodsWe analyzed the date collected 727 spinal osteosarcoma patients from the Surveillance Epidemiology and End Results (SEER) databases between 1973 and 2015. X-tile software was performed to find the optimal cut-off values of age and economic income. Univariate and Multivariate Cox analyses were used to identify the independent prognostic factors. Logistic regression model was conducted to clear the factors associated to surgical compliance; Kaplan-Meier estimator method was adopted to analyze the Overall survival (OS) and Cancer-specific survival (CSS). ResultsAmong 727 eligible spinal osteosarcoma patients, 370 (50.9%) patients received surgical treatment, 357 (49.1%) cases without surgery. There were significant differences in the effects of age at diagnosis, SEER historic stage and tumor grade on surgical treatment (All P < 0.05). Surgery was an independent prognostic factor for OS and CSS of spinal osteosarcoma patients. Spinal osteosarcoma patients undergone surgery group showed favorable survival than the other group.ConclusionsSurgery can provide survival benefits for patients with osteosarcoma of the spine. Spinal osteosarcoma patients with undergone surgery have favorable survival and surgery can become a suitable treatment for patients.

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Comparing the characteristics and predicting the survival of patients with head and neck melanoma versus body melanoma: a population-based study

BMC Cancer ◽

10.1186/s12885-021-08105-y ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Yuxin Ding ◽

Runyi Jiang ◽

Yuhong Chen ◽

Jing Jing ◽

Xiaoshuang Yang ◽

...

Keyword(s):

Head And Neck ◽

Health Management ◽

External Validation ◽

Area Under The Curve ◽

Population Based ◽

Survival Prediction ◽

Cancer Specific Survival ◽

Cox Models ◽

Lentigo Maligna Melanoma ◽

Clinical Tools

Abstract Background Previous studies reported cutaneous melanoma in head and neck (HNM) differed from those in other regions (body melanoma, BM). Individualized tools to predict the survival of patients with HNM or BM remain insufficient. We aimed at comparing the characteristics of HNM and BM, developing and validating nomograms for predicting the survival of patients with HNM or BM. Methods The information of patients with HNM or BM from 2004 to 2015 was obtained from the Surveillance, Epidemiology, and End Results (SEER) database. The HNM group and BM group were randomly divided into training and validation cohorts. We used the Kaplan-Meier method and multivariate Cox models to identify independent prognostic factors. Nomograms were developed via the rms and dynnom packages, and were measured by the concordance index (C-index), the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and calibration plots. Results Of 70,605 patients acquired, 21% had HNM and 79% had BM. The HNM group contained more older patients, male sex and lentigo maligna melanoma, and more frequently had thicker tumors and metastases than the BM group. The 5-year cancer-specific survival (CSS) and overall survival (OS) rates were 88.1 ± 0.3% and 74.4 ± 0.4% in the HNM group and 92.5 ± 0.1% and 85.8 ± 0.2% in the BM group, respectively. Eight variables (age, sex, histology, thickness, ulceration, stage, metastases, and surgery) were identified to construct nomograms of CSS and OS for patients with HNM or BM. Additionally, four dynamic nomograms were available on web. The internal and external validation of each nomogram showed high C-index values (0.785–0.896) and AUC values (0.81–0.925), and the calibration plots showed great consistency. Conclusions The characteristics of HNM and BM are heterogeneous. We constructed and validated four nomograms for predicting the 3-, 5- and 10-year CSS and OS probabilities of patients with HNM or BM. These nomograms can serve as practical clinical tools for survival prediction and individual health management.

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Demographic, Clinical, and Prognostic Factors of Ovarian Clear Cell Adenocarcinomas According to Endometriosis Status

International Journal of Gynecological Cancer ◽

10.1097/igc.0000000000001102 ◽

2017 ◽

Vol 27 (9) ◽

pp. 1804-1812 ◽

Cited By ~ 5

Author(s):

Tine H. Schnack ◽

Estrid Høgdall ◽

Lotte Nedergaard Thomsen ◽

Claus Høgdall

Keyword(s):

Overall Survival ◽

Prognostic Factors ◽

Cox Regression ◽

Clear Cell ◽

Statistical Tests ◽

Gynecological Cancer ◽

Population Based ◽

Clear Cell Adenocarcinoma ◽

Ovarian Endometriosis ◽

Increased Risk

ObjectivesWomen with endometriosis carry an increased risk for ovarian clear cell adenocarcinomas (CCCs). Clear cell adenocarcinoma may develop from endometriosis lesions. Few studies have compared clinical and prognostic factors and overall survival in patients diagnosed as having CCC according to endometriosis status.MethodsPopulation-based prospectively collected data on CCC with coexisting pelvic (including ovarian; n = 80) and ovarian (n = 46) endometriosis or without endometriosis (n = 95) were obtained through the Danish Gynecological Cancer Database. χ2 Test, independent-samples t test, logistic regression, Kaplan-Meier test, and Cox regression were used. Statistical tests were 2 sided. P values less than 0.05 were considered statistically significant.ResultsPatients with CCC and pelvic or ovarian endometriosis were significantly younger than CCC patients without endometriosis, and a higher proportion of them were nulliparous (28% and 31% vs 17% (P = 0.07 and P = 0.09). Accordingly, a significantly higher proportion of women without endometriosis had given birth to more than 1 child. Interestingly, a significantly higher proportion of patients with ovarian endometriosis had pure CCCs (97.8% vs 82.1%; P = 0.001) as compared with patients without endometriosis. Overall survival was poorer among CCC patients with concomitant ovarian endometriosis (hazard ratio, 2.56 [95% confidence interval, 1.29–5.02], in the multivariate analysis.ConclusionsAge at CCC diagnosis and parity as well as histology differ between CCC patients with and without concomitant endometriosis. Furthermore, CCC patients with concomitant ovarian endometriosis have a poorer prognosis compared with endometriosis-negative CCC patients. These differences warrant further research to determine whether CCCs with and without concomitant endometriosis develop through distinct pathogenic pathways.

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New nomograms based on treatment outcome and prognostic factors for patients with spinal diffuse large B-cell lymphoma: A population‐based study

10.21203/rs.2.20787/v1 ◽

2020 ◽

Author(s):

Ben Wang ◽

Lijie Chen ◽

Boda Chen ◽

Chenglong Xie ◽

Zhenxuan Shao ◽

...

Keyword(s):

Prognostic Factors ◽

B Cell ◽

Cell Lymphoma ◽

B Cell Lymphoma ◽

Treatment Method ◽

Population Based ◽

Cancer Specific Survival ◽

Internal Validation ◽

Large B Cell Lymphoma ◽

Large B Cell

Abstract Background: Spinal diffuse large B-cell lymphoma (DLBCL) was a rare and malignant tumor, while few studies researched the prognostic factors. The prognostic factors which might have impacts on spinal DLBCL was not clear. Although chemotherapy was recognized as an optimal treatment method, but the curative effect of radiotherapy and surgery were controversial. Methods: The records of patients with spinal DLBCL were selected from the SEER database from 1991 to 2016. The incidence obtained by database was analyzed by Joinpoint Regression Program. The optimal cut-off values of age and year of diagnosis were identified by X-tail program. Univariate and multivariate survival analysis were calculated to identify independent prognostic factors. Prognostic factors were included to predict the survival possibility compared with 5 years of overall (OS) and cancer-specific survival (CSS) via the new nomograms. Results: A total of 917 patients were enrolled. Age, year of diagnosis and chemotherapy were demonstrated as independent prognostic factors for CSS and OS, and primary site was another independent prognostic factor for CSS. However, radiotherapy and surgery might be ineffective in survival. All factors were included to generate the nomograms for CSS and OS. The concordance indices (C-index) for internal validation of OS and CSS prediction were 0.697 (95%CI: 0.662-0.732) and 0.709 (95%CI: 0.692- 0.727) respectively. Conclusions: Age and year of diagnosis are closely associated with the prognosis of spinal DLBCL, and chemotherapy is an ideal treatment modality. The new nomogram is a favourable tool to evaluate the survival possibility, and is benefit for the oncologist to make clinical decisions.

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Time Trends and Prognostic Factors for Overall Survival in Myxoid Liposarcomas: A Population-Based Study

Sarcoma ◽

10.1155/2020/2437850 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Jules Lansu ◽

Winan J. Van Houdt ◽

Michael Schaapveld ◽

Iris Walraven ◽

Michiel A. J. Van de Sande ◽

...

Keyword(s):

Overall Survival ◽

Prognostic Factors ◽

The Netherlands ◽

Metastatic Disease ◽

Lower Limb ◽

Tumor Size ◽

Tumor Location ◽

Population Based ◽

Population Based Study ◽

Over Time

Background. The purpose of this study was to evaluate the overall survival (OS) and associated characteristics for patients with Myxoid Liposarcoma (MLS) over time in The Netherlands. Methods. A population-based study was performed of patients with primary localized (n = 851) and metastatic (n = 50) MLS diagnosed in The Netherlands between 1989 and 2016, based on data from the National Cancer Registry. Results. The median age of the MLS patients was 49 years, and approximately two-thirds was located in the lower limb. An association was revealed between age and the risk of having a Round Cell (RC) tumor. OS rates for primary localized MLS were 93%, 83%, 78%, and 66% after 1, 3, 5, and 10 years, respectively. The median OS for patients with metastatic disease at diagnosis was 10 months. Increasing age (Hazard Ratio (HR) 1.05, p=0.00), a tumor size >5 cm (HR 2.18; p=0.00), and tumor location (trunk HR 1.29; p=0.09, upper limb HR 0.83; p=0.55, and “other” locations HR 2.73; p=0.00, as compared to lower limb) were independent prognostic factors for OS. The percentage of patients treated with radiotherapy (RT) increased over time, and preoperative RT gradually replaced postoperative RT. In contrast to patients with localized disease, significant improvement of OS was observed in patients with metastatic disease over time. Conclusions. In this large nationwide cohort, tumor size and tumor location were independent prognostic factors for OS. Furthermore, a higher probability of an RC tumor with increasing age was suggested. An increased use of RT over the years did not translate into improved OS for localized MLS.

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