Characteristics and Prognostic Factors of Patients with Chondrosarcoma Older Than 60 Years ： An Analysis of 610 Cases from the SEER Database

Abstract Background: Chondrosarcoma is a rare type of bone tumor which more commonly found in adults range from 40 to 60 years old. Few studies has described the characteristic and prognostic factors of patients older than 60 years. This study aimed to study this feature and identify the prognostic factors based on SEER database.Methods: Thus, we collected clinicopathological data of chondrosarcoma patients in the Surveillance, Epidemiology, and End Results registry database from 1975 to 2018, and then use the Kaplan-Meier to analyze the patients’ survival. We also utilize Cox proportional hazard model to explore the prognostic factors and relevant characteristic including patients’ baseline demographics (age, race, and gender), tumor characteristics (tumor extension, histologic subtype, therapy, primary site, stage and grade.Results: After the implementation of exclusion criteria, there were 610 patients with chondrosarcoma older than 60 years. Our data showed that the incidence of chondrosarcoma is slightly higher in men than in women (52.3% vs 47.7%). In general, 90.8% of tumor had metastasized to distant sites. Meanwhile, 41.8% of tumors occurred in axial location (pelvis, spine, and ribs), 50.8% of tumors occurred in extremity (long or short bones of the upper or lower extremity), and 7.4% in other location (mandible, skull, and other atypical locations). Dedifferentiated chondrosarcoma (hazard ratio [HR] =2.553; 95% confidence interval [CI]= 1.754-3.716), grade (g2:HR:=1.299; 95% CI:=0.888-1.900, g3:HR=1.839;95% CI= 1.174-2.881, g4:HR=3.284,95%CI=2.053-5.253), distant metastasis (HR=3.264; 95% CI= (2.288-4.058), non-surgery perform (HR = 2.854; 95% CI= 2.022-4.028) were independent risk factors for 5-year overall survival.Conclusion: In conclusion, higher grade, non-surgery perform, dedifferentiated chondrosarcoma and distant metastasis indicated worse prognosis survival. Surgery can significantly improve the survival time of patients.

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Characteristics and Prognostic Factors of Patients With Chondrosarcoma Older Than 60 Years ：an Analysis of 610 Cases from the SEER Database

10.21203/rs.3.rs-689163/v1 ◽

2021 ◽

Author(s):

Tailong Chen ◽

Nan Zhou ◽

Zhongxin Tang ◽

Xing Guo ◽

Wengang Wang

Keyword(s):

Prognostic Factors ◽

Distant Metastasis ◽

Seer Database ◽

Dedifferentiated Chondrosarcoma ◽

Rare Type ◽

Histologic Subtype ◽

Race And Gender ◽

Kaplan Meier ◽

Independent Risk Factors ◽

And Gender

Abstract Background Chondrosarcoma is a rare type of bone tumor which more commonly found in adults range from 40 to 60 years old. Few studies has described the characteristic and prognostic factors of patients older than 60 years. This study aimed to study this feature and identify the prognostic factors based on SEER database. Methods Thus, we collected clinicopathological data of chondrosarcoma patients in the Surveillance, Epidemiology, and End Results registry database from 1975 to 2018, and then use the Kaplan-Meier to analyze the patients’ survival. We also utilize Cox proportional hazard model to explore the prognostic factors and relevant characteristic including patients’ baseline demographics (age, race, and gender), tumor characteristics (tumor extension, histologic subtype, therapy, primary site, stage and grade. Results After the implementation of exclusion criteria, there were 610 patients with chondrosarcoma older than 60 years. Our data showed that the incidence of chondrosarcoma is slightly higher in men than in women (52.3% vs 47.7%). In general, 90.8% of tumor had metastasized to distant sites. Meanwhile, 41.8% of tumors occurred in axial location (pelvis, spine, and ribs), 50.8% of tumors occurred in extremity (long or short bones of the upper or lower extremity), and 7.4% in other location (mandible, skull, and other atypical locations). Dedifferentiated chondrosarcoma (hazard ratio [HR] = 2.553; 95% confidence interval [CI] = 1.754–3.716), grade (g2:HR:=1.299; 95% CI:=0.888-1.900, g3:HR = 1.839;95% CI = 1.174–2.881, g4:HR = 3.284,95%CI = 2.053–5.253), distant metastasis (HR = 3.264; 95% CI= (2.288–4.058), non-surgery perform (HR = 2.854; 95% CI = 2.022–4.028) were independent risk factors for 5-year overall survival. Conclusion In conclusion, higher grade, non-surgery perform, dedifferentiated chondrosarcoma and distant metastasis indicated worse prognosis survival. Surgery can significantly improve the survival time of patients.

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Prognostic Factors in Patients With Osteosarcoma With the Surveillance, Epidemiology, and End Results Database

Technology in Cancer Research & Treatment ◽

10.1177/1533033820947701 ◽

2020 ◽

Vol 19 ◽

pp. 153303382094770

Author(s):

Peng Fu ◽

Yu Shi ◽

Gang Chen ◽

Yaohua Fan ◽

Yanhong Gu ◽

...

Keyword(s):

Prognostic Factors ◽

Survival Data ◽

Risk Model ◽

Cox Regression ◽

Survival Rates ◽

Rare Type ◽

Hazards Model ◽

Kaplan Meier ◽

Endpoint Event ◽

Prognostic Risk Factors

Background: Osteosarcoma is a rare type of bone tumor, and this study aimed to assess the clinicopathologic features and prognoses of osteosarcoma patients. Methods: Clinicopathologic and survival data of 1025 patients between 2010 and 2016, 230 between 2008 and 2009 were downloaded and analyzed from the SEER database. Patients’ survival was analyzed using the Kaplan-Meier analysis; prognostic factors were assessed using the Cox regression hazards model. The 1-, 3-, and 5-year survival rates were estimated with nomogram. Competitive risk models were used to identify prognostic risk factors related to endpoint events of osteosarcoma patients. Results: Overall, 722 samples were obtained from the extremities, 134 from the axial bones, and 119 from the cranial and mandible in SEER (2010-2016 cohort). After the preliminary diagnosis, the median survival time of patients with osteosarcoma was 39 months, and the 1-, 3-, and 5-year survival rates were 87.3%, 67.2%, and 58.0%, respectively (P < 0.001). The competitive risk model revealed no competitive risks of the endpoint event. Conclusion: Our study found out the prognostic factors in patients with Osteosarcoma by Cox regression hazards model, after that, nomogram was established to predict the 1-, 3-, and 5-year survival rates, which may help oncologists to understand the highly malignant tumor.

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Do Ethnicity, Age, or Gender Independently Predict Overall Survival in Patients with Acute Myeloid Leukemia – a SEER Review of AML Diagnosis from 2004-2007.

Blood ◽

10.1182/blood.v124.21.1269.1269 ◽

2014 ◽

Vol 124 (21) ◽

pp. 1269-1269 ◽

Cited By ~ 1

Author(s):

Mohammed N Kanaan ◽

Utkarsh H Acharya ◽

Haiyan Cui ◽

Denise J Roe

Keyword(s):

Overall Survival ◽

Hazard Ratio ◽

Myelogenous Leukemia ◽

Seer Database ◽

Race And Gender ◽

Female Patients ◽

West Region ◽

Gender And Age ◽

Male Patients ◽

And Gender

Abstract Background: Acute Myelogenous Leukemia (AML) portends a poor prognosis accounting for substantial morbidity and mortality among hematologic malignancies. While studies have reported that older age, adverse cytogenetics, and molecular markers implicate survival, there is a considerable scarcity of epidemiologic literature to enhance our understanding of this disease. We aimed to study the epidemiology and survival outcome of AML and its correlation with the age, race, gender and region of diagnosis by reviewing the Surveillance, Epidemiology, and End Result Program (SEER database). Methods: The SEER database (version 8.1.5) was reviewed for patients with histologically confirmed non APL-AML (ICD-O-3) between 2004-2007. Age of included patients ranged from 15 years to 90 years. Collected variables in the analysis included: date of diagnosis, age at diagnosis, gender, ethnicity, location of diagnosis, reported intervals of follow up and 3- year overall survival (OS). Primary outcome was 3-year median OS correlation with age, race and gender. All SEER registries were included in the analysis. Data were analyzed using Kaplan Meier and Cox proportional hazard regression model. Results: A total of 13,238 pts with non APL-AML were included between 2004 and 2007. The mean age in was 61.6 years. The Caucasian to non-Caucasian race ratio was 5:1 and male to Female ratio was 7:6. The 3-year overall survival was statistically significant for ethnicity as non-Caucasian group had better 3 year OS (26.8%) compared with Caucasians (23.45 %, p = 0.0009). However, the association with overall survival based on ethnicity was not significant after adjusting for region, gender and age (p = 0.5881). When examining for gender, female patients demonstrated improved 3 year OS compared with male patients which held true irrespective of region, race, or age (p = 0.0036). OS was also associated with region of diagnosis as patients in East region had better survival when compared with patients in West region (HR 0.96). The patients in South and Midwest regions had poorer survival when compared with the West region (HR 1.01 and 1.13, respectively). This survival difference was statistically significant after adjusting for age, race and gender. Interestingly, when OS was analyzed according to age, the hazard ratio increased by 20% with every 5 year increment in age despite adjustments for region, race, and gender (p < 0.001). Conclusion: Non APL-AML OS was statistically associated with gender, race, age and region of diagnosis. Non-Caucasian group had better OS compared with Caucasians. However, this association was not significant after adjusting for region, gender and age. However, female patients demonstrated improved 3 year OS compared with male patients after adjusting for confounding factors. Association with region showed statistically significant difference according to region of diagnosis favoring those diagnosed in the East. Interestingly, when OS was analyzed according to age, the hazard ratio increased by 20% with every 5 year increment in age despite adjustments for region, race, and gender. This study suggest that female gender may serve as a favorable risk factor in AML and further confirms that advancing age may confer inferior survival in this disease population. Disclosures No relevant conflicts of interest to declare.

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Prediction of distant metastasis of spinal and pelvic osteosarcoma by constructing and validating nomogram:a retrospective study based on SEER database

10.21203/rs.3.rs-1235263/v1 ◽

2022 ◽

Author(s):

Yu Lin ◽

Zhenyu Wang ◽

Gang Chen ◽

Wenge Liu

Keyword(s):

Risk Factor ◽

Receiver Operating Characteristic ◽

Survival Time ◽

Distant Metastasis ◽

Operating Characteristic ◽

Validation Cohort ◽

Seer Database ◽

Lasso Regression ◽

Training Cohort ◽

Kaplan Meier

Abstract Background:Spinal and pelvic osteosarcoma is a rare type of all osteosarcomas,and distant metastasis is an important factor for poor prognosis of this disease. There are no similar studies on prediction of distant metastasis of spinal and pelvic osteosarcoma. We aim to construct and validate a nomogram to predict the risk of distant metastasis of spinal and pelvic osteosarcoma.Methods:We collected the data on patients with spinal and pelvic osteosarcoma from the Surveillance, Epidemiology, and End Results(SEER) database retrospectively. The Kaplan-Meier curve was used to compare differences in survival time between patients with metastasis and non-metastasis. Total patients were randomly divided into training cohort and validation cohort. The risk factor of distant metastasis were identified via the least absolute shrinkage and selection operator(LASSO) regression and multivariate logistic analysis. The nomogram we constructed were validated internally and externally by C-index, calibration curves,receiver operating characteristic(ROC) curve and Decision curve analysis (DCA).Results:The Kaplan-Meier curve showed that the survival time of non-metastatic patients was longer than that of metastatic patients(P＜0.001).All patients(n=358) were divided into training cohort(n=269) and validation cohort(n=89).The LASSO regression selected five meaningful variables in the training cohort. The multivariate logistic regression analysis demonstrated that surgery(yes,OR=0.175, 95%CI=0.095-0.321,p=0.000) was the independent risk factors for distant metastasis of patients with spinal and pelvic osteosarcoma. The C-index and calibration curves showed the good agreement between the predicted results and the actual results. The area under the receiver operating characteristic curve(AUC) values were 0.748(95%CI=0.687-0.817) and 0.758(95%CI=0.631-0.868) in the training and validation cohorts respectively. The DCA showed that the nomogram has a good clinical usefulness and net benefit.Conclusion:No surgery is the independent risk factor of distant metastasis of spinal and pelvic osteosarcoma. The nomogram we constructed to predict the probability of distant metastasis of patients with spinal and pelvic osteosarcoma is reliable and effective by internal and external verification.

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Construction of a Nomogram for Predicting Survival in Elderly Patients With Lung Adenocarcinoma: A Retrospective Cohort Study

Frontiers in Medicine ◽

10.3389/fmed.2021.680679 ◽

2021 ◽

Vol 8 ◽

Author(s):

Haisheng You ◽

Mengmeng Teng ◽

Chun Xia Gao ◽

Bo Yang ◽

Sasa Hu ◽

...

Keyword(s):

Decision Making ◽

Prognostic Factors ◽

Elderly Patients ◽

Clinical Decision Making ◽

Cox Regression ◽

Validation Cohort ◽

Discrimination Performance ◽

Seer Database ◽

Histologic Subtype ◽

Training Cohort

Elderly patients with non-small-cell lung cancer (NSCLC) exhibit worse reactions to anticancer treatments. Adenocarcinoma (AC) is the predominant histologic subtype of NSCLC, is diverse and heterogeneous, and shows different outcomes and responses to treatment. The aim of this study was to establish a nomogram that includes the important prognostic factors based on the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015. We collected 53,694 patients of older than 60 who have been diagnosed with lung AC from the SEER database. Univariate and multivariate Cox regression analyses were used to screen the independent prognostic factors, which were used to construct a nomogram for predicting survival rates in elderly AC patients. The nomogram was evaluated using the concordance index (C-index), calibration curves, net reclassification index (NRI), integrated discrimination improvement (IDI), and decision-curve analysis (DCA). Elderly AC patients were randomly divided into a training cohort and validation cohort. The nomogram model included the following 11 prognostic factors: age, sex, race, marital status, tumor site, histologic grade, American Joint Committee for Cancer (AJCC) stage, surgery status, radiotherapy status, chemotherapy status, and insurance type. The C-indexes of the training and validation cohorts for cancer-specific survival (CSS) (0.832 and 0.832, respectively) based on the nomogram model were higher than those of the AJCC model (0.777 and 0.774, respectively). The CSS discrimination performance as indicated by the AUC was better in the nomogram model than the AJCC model at 1, 3, and 5 years in both the training cohort (0.888 vs. 0.833, 0.887 vs. 0.837, and 0.876 vs. 0.830, respectively) and the validation cohort (0.890 vs. 0.832, 0.883 vs. 0.834, and 0.880 vs. 0.831, respectively). The predicted CSS probabilities showed optimal agreement with the actual observations in nomogram calibration plots. The NRI, IDI, and DCA for the 1-, 3-, and 5-year follow-up examinations verified the clinical usability and practical decision-making effects of the new model. We have developed a reliable nomogram for determining the prognosis of elderly AC patients, which demonstrated excellent discrimination and clinical usability and more accurate prognosis predictions. The nomogram may improve clinical decision-making and prognosis predictions for elderly AC patients.

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Characteristics and Prognostic Factors of Patients With Osteosarcoma Older Than 60 Years From the SEER Database

Cancer Control ◽

10.1177/1073274819888893 ◽

2019 ◽

Vol 26 (1) ◽

pp. 107327481988889 ◽

Cited By ~ 1

Author(s):

Yue Pan ◽

Daqi Chen ◽

Taobo Hu ◽

Guohua Lv ◽

Zhehao Dai

Keyword(s):

Overall Survival ◽

Prognostic Factors ◽

Distant Metastasis ◽

Proportional Hazards ◽

Cox Proportional Hazards ◽

Disease Stage ◽

Data Set ◽

Primary Tumor Site ◽

Histologic Subtype ◽

Axial Location

Osteosarcoma is predominant in the adolescent and the elderly population, but few studies have described the characteristics and prognostic factors of patients older than 60 years. In this study, the Surveillance, Epidemiology, and End Results registry database was used to identify all patients diagnosed with primary osteosarcoma from 1973 to 2014. We utilized Cox proportional hazards regression analysis to evaluate the association between patient overall survival and relevant characteristics, including gender, race, disease stage, treatment methods, primary tumor site, differentiation grade, and histologic subtype. In the data set, a total of 1139 patients with osteosarcoma older than 60 years old were identified. The overall rate of distant metastatic cases was 28.6%. Osteosarcoma occurred equally in men and women (49.5% vs 50.5%). Of all, 41.3% of tumors were located in axial location (pelvis, spine, and ribs), 34.1% of tumors were located in extremity (long or short bones of the upper or lower extremity), and 24.6% in other location (mandible, skull, and other atypical locations). Male (hazard ratio [HR] = 1.201; 95% confidence interval [CI]: 1.056-1.366), axial location (HR = 1.342; 95% CI: 1.157-1.556), distant metastasis (HR = 2.369; 95% CI: 2.015-2.785), non-surgery perform (HR = 2.108; 95% CI: 1.814-2.451) were independent risk factors for 5-year overall survival. This study revealed distinct clinicopathological features of patients with osteosarcoma older than 60 years. Male gender, tumor in axial site, nonsurgery perform, and distant metastasis indicated worse prognosis survival. Performing surgery is still an effective and reliable treatment method for patients older than 60 years.

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Development and Validation of Nomograms Predicting Overall and Cancer-specific Survival of Spinal and Pelvic Tumor Patients with Distant Metastasis

10.21203/rs.3.rs-18003/v1 ◽

2020 ◽

Author(s):

Hao Zhang ◽

Qihao Tu ◽

Chuanli Zhou ◽

Chao Wang ◽

Kai Zhu ◽

...

Keyword(s):

Risk Factors ◽

Bone Tumor ◽

Distant Metastasis ◽

External Validation ◽

Pelvic Bone ◽

Seer Database ◽

Tumor Patients ◽

Cancer Specific Survival ◽

Internal Validation ◽

Independent Risk Factors

Abstract Background: Primary spinal bone tumors with distant metastasis are a sign of advanced stage and are usually accompanied by poor prognosis. This study is to identify the risk factors and establish prognostic nomograms to predict 1- and 3-year overall survival (OS) and cancer-specific survival (CSS) rates for spinal and pelvic bone tumor patients with distant metastasis.Patients and methods: Spinal and pelvic bone tumor patients with distant metastasis between 1998 and 2016 were selected for this study from the Surveillance, Epidemiology, and End Results (SEER) database. Nomograms to predict 1- and 3-year OS and CCS rates were constructed based on independent risk factors identified by univariate and multivariate Cox analyses. Concordance indexes (C-indexes), receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA) were used to assess the nomograms.Results: All patients (n=343) were randomly divided into a training cohort (n=243) and validation cohort (n=100). No significant differences were found in thedemographic data of all patients in the training and validation cohorts. Ultimately, only four independent risk factors (patient age, histology, grade and surgery) were identified as significantly associated with OS and CCS. The C-indices were 0.722 (95% CI, 0.685 to 0.759) and 0.686 (95% CI, 0.61 to 0.760) for the internal validation and external validation of the OS nomogram, respectively. Similarly, the C-indices based on the CCS nomogram were 0.717 (95% CI, 0.678 to 0.757) and 0.695 (95% CI, 0.619 to 0.771) for the internal validation and external validation, respectively. The calibration curves revealed that the predicted survival and actual survival were in concordance. DCA showed the clinical utility and benefits of the nomograms.Conclusion: The nomograms we constructed based on the SEER database can accurately predict individual patient survival.

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Prognosis of patients with brainstem glioblastoma based on ‘age, surgery and radiotherapy’: a SEER database analysis

10.21203/rs.3.rs-762699/v1 ◽

2021 ◽

Author(s):

Yitong Li ◽

Narasimha M. Beeraka ◽

Wenchang Guo ◽

Yuying Lei ◽

Qilu Hu ◽

...

Keyword(s):

Overall Survival ◽

Prognostic Factors ◽

Surgical Resection ◽

Statistical Significance ◽

Cox Proportional Hazards ◽

Seer Database ◽

Significant Treatment ◽

Radiotherapy Group ◽

Kaplan Meier ◽

Dismal Prognosis

Abstract Primary brainstem glioblastoma is a rare tumor with dismal prognosis that poses significant treatment challenges. The purpose of the current study is to identify and determine prognostic factors associated with the survival in the brainstem glioblastoma patients. We gathered the data from SEER database (1973–2016) to examine the survival of patients with brainstem glioblastoma and potential impact of demographic, tumor and clinical characteristics on the overall survival of the patient. The survival patterns were assessed using Kaplan–Meier curves and Cox proportional hazards models. Propensity score matching (PSM) analysis was performed between patients with or without radiation therapy based on age and surgical resection to investigate the effect of radiotherapy on the overall survival. Total 232 patients were included from the SEER database. The median overall survival was 8 months. Kaplan–Meier survival analysis delineated that thepatients with younger age (P = 0.001) and surgery (P = 0.001) exhibited better prognosis. Among 232 patients, 204 patients received radiotherapy (radiotherapy group, RG), and only 28 patients did not receive radiotherapy (non-radiotherapy group, NRG). Radiotherapy was associated with an improvement of overall survival without statistical significance (P = 0.104). PSM was performed between the RG and NRG based on age and surgical resection. After the PSM, 56 patients were included. Overall Survival was significantly different between both groups (P = 0.038, p < 0.05). Multivariate analysis showed that treatment with surgery and radiotherapy were considered as the independent prognostic factors (P < 0.05).

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Development and Validation of a Prognostic Nomogram for Gastric Signet Ring Cell Carcinoma: A Multicenter Population-Based Study

Frontiers in Oncology ◽

10.3389/fonc.2021.603031 ◽

2021 ◽

Vol 11 ◽

Author(s):

Shuairan Zhang ◽

Yang Liu ◽

Zihan Jiao ◽

Zenan Li ◽

Jin Wang ◽

...

Keyword(s):

Prognostic Factors ◽

Staging System ◽

Signet Ring Cell Carcinoma ◽

Signet Ring Cell ◽

Seer Database ◽

Kaplan Meier ◽

Signet Ring ◽

Ajcc Staging System ◽

Ring Cell ◽

Ajcc Staging

BackgroundGastric signet ring cell carcinoma (GSRCC) is a rare disease associated with poor prognosis. A prognostic nomogram was developed and validated in this study to assess GSRCC patients’ overall survival (OS).MethodsPatients diagnosed with GSRCC from the Surveillance, Epidemiology, and End Results (SEER) database (2004–2016) and the First Hospital of China Medical University (CMU1h) were enrolled in this retrospective cohort study. Univariate and multivariate COX analysis was used to determine independent prognostic factors to construct the prognostic nomogram. Predictions were evaluated by the C-index and calibration curve. In addition, the receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and Kaplan-Meier analysis were employed to assess the clinical utility of the survival prediction model.ResultsPatients were classified into two cohorts. We randomly divided patients in the SEER database and CMU1h cohort into a training group (n=3068, 80%) and a validation group (n=764, 20%). Age, race, T stage, N stage, M stage, therapy, and tumor size were significantly associated with the prognosis of GSRCC patients. On this basis, a nomogram was constructed, with a C-index in the training and the validation cohorts at 0.772 (95% CI: 0.762–0.782) and 0.774 (95% CI: 0.752–0.796), respectively. The accuracy of the generated nomogram was verified through calibration plots. Similarly, compared with the traditional AJCC staging system, the results of the area under curve (AUC) calculated by ROC, DCA, and Kaplan-Meier curves, demonstrated a good predictive value of the constructed nomogram, compared to the traditional AJCC staging system.ConclusionIn the present study, seven independent prognostic factors of GSRCC were screened out. The established nomogram models based on seven variables provided a visualization of each prognostic factor’s risk and assisted clinicians in predicting the 1-, 3-, and 5-year OS of GSRCC.

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Racial and gender disparities in therapy and outcomes of squamous cell cancer of the anus.

Journal of Clinical Oncology ◽

10.1200/jco.2017.35.4_suppl.691 ◽

2017 ◽

Vol 35 (4_suppl) ◽

pp. 691-691 ◽

Cited By ~ 1

Author(s):

Arjun Gupta ◽

Nivedita Arora ◽

Hong Zhu ◽

Alana Christie ◽

Jeffrey John Meyer ◽

...

Keyword(s):

Radiation Therapy ◽

Squamous Cell ◽

Univariate Analysis ◽

Cell Cancer ◽

Tumor Biology ◽

The United States ◽

Seer Database ◽

Race And Gender ◽

Gender Based ◽

And Gender

691 Background: Squamous cell carcinoma of the anus (SCCA) is one of the few cancers with a rising incidence in the United States. We aimed to characterize race and gender-based disparities in receipt of therapy, and overall survival (OS) of SCCA using the Surveillance, Epidemiology and End Results (SEER) database. Methods: Cases of locoregional SCCA diagnosed between 2000-2012 in the SEER database were included. Demographics, tumor characteristics, therapy and outcomes were extracted. Primary end point was OS. Univariable and multivariable Cox proportional hazard models were constructed to test factors associated with OS. Data were reported as hazard ratios (HR) and 95% confidence intervals (CI). SAS version 9.4 was used for analysis. Results: We identified 7882 cases of locoregional SCCA, median age 58 years, 61.2% women, 86.3% white. A majority of patients (82.3%) received radiation therapy; with the lowest rate in black males (76.7%) and highest in white females (86.1%). The median OS was 135 months, and it was lower in the elderly, > 65 years (68 months), men (108 months), blacks (109 months) and those who did not receive radiation therapy (121 months). In multivariate analysis, increasing age (HR 1.19, 95 % CI 1.16-1.20 per 5 years increase), gender (HR 1.59, 95% CI 1.47- 1.73, men vs women), race (HR 1.51, 95% CI 1.34- 1.71, blacks vs whites), and receipt of radiation therapy (HR 0.90, 95% CI 0.82-0.99), were associated with OS (all p < 0.05). Race was a significant predictor of receiving radiation therapy on univariate analysis. Table 1 outlines the rates of receipt of radiation and the median OS of the four racial/gender groups. Conclusions: Significant race and gender-based disparities exist in the survival of patients with locoregional SCCA. Even after adjusting for baseline and treatment characteristics, blacks had poorer OS, suggesting difference in tumor biology. Further investigation into the causes, and methods to eliminate these disparities are warranted. [Table: see text]

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