Progressive Improvement in 5-Year Survival Rates for Extremity Soft Tissue Sarcomas from 1999 to 2019.

Introduction: Intrahepatic cholangiocarcinoma (ICC) is an aggressive cancer with increasing incidence rates. The purpose of this study is to investigate the impact of sex, and race/ethnicity on the 5-year relative survival rate for individuals above the age of 20 using the Surveillance, Epidemiology, and End Results (SEER) database from 1992-2011. Methods: Patients diagnosed with ICC from 1992-2011 were identified from the SEER Registry. The 5-year relative survival rates of ICC in the US were calculated during different time intervals consisting of 1992-1996, 1997-2001, 2002-2006, and 2007-2011. The ethnic groups used in this analysis consisted of black, white, and other where “other” included American Indians, Alaskans and Asian/Pacific Islanders. Results: Black men had the highest 5-year relative survival rate at 11.9% from 2007-2011. The 5-year relative survival rate was 5.50% and 6.1% for white men and men denoted in the other category, respectively from 2007-2011. The 5-year relative survival rate has decreased from 2002-2006 to 2007-2011 for white men and “other” men, however it has increased for black men. In 2002-2006, the 5-year relative survival rate was 6.60% for white men, and 8.3% for “other” men. In 2007-2011, the 5-year survival rate was 5.50% for white men, and 6.1% for “other” men. White men had the lowest 5-year relative survival rate amongst all ethnic groups. For women, the 5-year survival rate is highest for black women at 10.8% from 2007-2011. The 5-year survival rate has increased over the years from 1992-2011 for most ethnic groups when comparing women. There was a decrease in 5-year relative survival rate of 11.40% to 10.60% from 2002-2006 and 2007-2011 for “other” women. White women had the lowest 5-year relative survival rate from 2002-2011 in comparison to other ethnic groups. Women, in comparison to men had higher 1, 2, 3, 4, and 5-year relative survival rates from 2002-2011 when compared to rates from 1992-2001. Conclusion: This study shows the impact of race/ethnicity and gender on 5-year relative survival rates for ICC. Women had higher 1, 2, 3, 4, and 5-year survival rates than men, which may suggest that women seek medical attention earlier. The 5-year survival rate is also higher for African men and women. This may support interventions to inform certain ethnic groups about the importance of screening for infections such as Hepatitis B and C and seek medical attention earlier.

147 Background: Advances in treatment for patients with DLBCL have led to improved patient outcomes, but whether disparities exist with regards to improved survival outcomes remains understudied. We sought to describe changes in DLBCL survival rates over time and explore potential differential survival patterns by patients’ race and age. Methods: We utilized the Surveillance, Epidemiology, and End Results (SEER) database to identify patients diagnosed with DLBCL from 1980-2009 and determined 5-year survival rates for all patients, categorizing patients by year of diagnosis. We used descriptive statistics and logistic regression, adjusting for stage and year of diagnosis, to describe changes in 5-year survival rates over time by race/ethnicity and age. Results: We identified 43,564 patients with DLBCL eligible for this study (median age 67 years [ages: 18-64 = 44.2%, 65-79 = 37.1%, 80+ = 18.7%], 53% male, 40% stage III/IV). Most were White race (81.4%), followed by race/ethnic groups of Asian/Pacific Islander (API) (6.3%), Black (6.3%), Hispanic (5.4%), and American Indian/Alaska Native (AIAN) (0.05%). Overall, the 5-year survival rate improved from 35.1% in 1980 to 52.4% in 2009 across all patients (odds ratio (OR) for 5-year survival with increasing year of diagnosis = 1.05, p <.001). Patients in race/ethnic minority groups (API: OR = 0.86, p <.0001; Black: OR = 0.57, p <.0001; AIAN: OR = 0.51, p =.008) and older adults (ages 65-79: OR = 0.43, p <.0001; ages 80+: OR = 0.13, p <.0001) had worse 5-year survival rates adjusting for race, age, stage, and diagnosis year. We found consistent improvement in the odds of 5-year survival for year of diagnosis across all race and ethnicity groups (White: OR = 1.05, p <.001; API: OR = 1.04, p <.001; Black: OR = 1.06, p <.001; Hispanic: OR = 1.05, p <.005; AIAN: OR = 1.05, p <.001) and age groups (ages 18-64: OR = 1.06, p <.001; ages 65-79: OR = 1.04, p <.001; ages 80+: OR = 1.04, p <.001). Conclusions: In this analysis of SEER data, we found that patients with DLBCL experienced improvements in 5-year survival rates from 1980 to 2009, despite ongoing disparities demonstrating worse survival among patients in race/ethnic minority groups and older adults. Notably, we did not find differential improvement in the odds of 5-year survival within subgroups of race and age, underscoring the need for ongoing investigations to address disparities in cancer care delivery and outcomes.

Impact of Race and Age and their Interaction on Survival Outcomes in Patients With Diffuse Large B-Cell Lymphoma.

BackgroundAs the form of World Health Organization Central Nervous System (WHO CNS) tumor classifications is updated, there is a lack of research on outcomes for intracranial combined solitary-fibrous tumor and hemangiopericytoma (SFT/HPC). This study aimed to explore conditional survival (CS) pattern and develop a survival prediction tool for intracranial SFT/HPC patients.MethodsData of intracranial SFT/HPC patients was gathered from the Surveillance, Epidemiology, and End Results (SEER) program of the National Cancer Institute. The patients were split into training and validation groups at a 7:3 ratio for our analysis. CS is defined as the likelihood of surviving for a specified period of time (y years), given that the patient has survived x years after initial diagnosis. Then, we used this definition of CS to analyze the intracranial SFT/HPC patients. The least absolute shrinkage and selection operator (LASSO) regression and best subset regression (BSR) were employed to identify predictive factors. The Multivariate Cox regression analysis was applied to establish a novel CS-based nomogram, and a risk stratification system was developed using this model.ResultsFrom the SEER database, 401 patients who were diagnosed with intracranial SFT/HPC between 2000 and 2019 were identified. Among them, 280 were included in the training group and 121 were included in the internal validation group for analysis. Our study revealed that in intracranial SFT/HPC, 5-year survival rates saw significant improvement ranging from 78% at initial diagnosis to rates of 83%, 87%, 90%, and 95% with each successive year after surviving for 1–4 years. The LASSO regression and BSR identified patient age, tumor behavior, surgery and radiotherapy as predictors of CS-based nomogram development. A risk stratification system was also successfully constructed to facilitate the identification of high-risk patients.ConclusionThe CS pattern of intracranial SFT/HPC patients was outlined, revealing a notable improvement in 5-year survival rates after an added period of survival. Our newly-established CS-based nomogram and risk stratification system can provide a real-time dynamic survival estimation and facilitate the identification of high-risk patients, allowing clinicians to better guide treatment decision for these patients.

The nationwide studies on survival change in GBM patients treated with bevacizumab (BEV) after Food and Drug Administration (FDA) approval in May 2009 were limited. We investigated the impacts of BEV on survival in general GBM patient population by conducting a retrospective study based on the Surveillance, Epidemiology, and End Results (SEER), Texas Cancer Registry Limited-Use datasets (TCR), and National Cancer Database (NCDB). The adult patients diagnosed with GBM between 2005 and 2013 were included from SEER (N=14827), TCR (N=2709), and NCDB (N=32731). Patients were categorized into two calendar periods based on date of GBM diagnosis: pre-BEV (2005–2008, P1), and post-BEV (2010–2013, P2). The association between calendar periods and GBM survival was analyzed in SEER, TCR, and NCDB separately, by applying the Kaplan-Meier method and Cox proportional hazards model. A significant increase in median overall survival (OS) was observed from P1 to P2 in SEER (P1: 10, P2: 11, months; P<0.001), TCR (P1: 9.97, P2: 12.00, months; P<0.001), and NCDB (P1: 10.71, P2: 12.25, months; P<0.001). One-year survival rate was remarkably increased during P2 in SEER (P1: 41.9%, P2: 45.4%; P<0.001) and NCDB (P1: 45.1%, P2: 50.8%; P<0.001). In NCDB, 2-year survival rate was improved by 23.1% after BEV approval (P1: 18.6%, P2: 22.9%, P<0.001). No significant change of 1-year and 2-year survival rate was detected between P1 and P2 in TCR. After controlling different sets of covariates, including demographics, clinical characteristics, and treatments in multivariate analysis, the risk of death was significantly reduced by 9%, 28%, and 11% in SEER, TCR, and NCDB, respectively. Comparison and validation analysis were performed in the combined dataset (SEER+TCR), and consistent results were observed. Therefore, the administrations of BEV for recurrent GBM after FDA approval may contribute to the improvement of OS, 1-year and 2-year survival rate in GBM patients.

The aim of the present study was to examine the epidemiology, natural history, treatment and long-term survival of patients with adenosquamous cell carcinoma of the prostate. The Surveillance, Epidemiology, and End Results (SEER) Program database was used to identify ASCC of prostate cases between January 1973 and December 2006. Survival probabilities were estimated using the Kaplan-Meier methods and compared using the log-rank test. A total of 25 patients with adenosquamous cell carcinoma of the prostate were identified during the study period. The median age was 74 years (range 53–98). Twenty percent of study subjects presented with metastatic disease. Among those patients with known grade (n=16), 75% had poorly or undifferentiated histology. A total of 40% of study subjects received radical prostatectomy, while 24% of the patients had primary radiation therapy. The 1-, 3-, and 5-year cancer specific survival rates for the entire cohort were 55.2%, 37.8%, and 30.3%, respectively. For patients who underwent prostatectomy, the 1-, 3-, and 5-year survival rates were 78%, 78%, and 63%, respectively. For the patients who did not receive prostatectomy, the 1-year survival rates were 38.7% and none survived to three years. Adenosquamous cell carcinoma is a rare aggressive subtype of prostate cancer with poor cancer specific survival. The development of new therapeutic approaches for this aggressive tumor is urgently needed.

Epidemiology and survival of patients with malignant carotid body tumors in the SEER database

Pineoblastoma: prognostic factors and survival outcomes in young children.

Small randomized trials have not shown an overall survival (OS) difference among local treatment modalities for patients with extremity soft‐tissue sarcomas (E‐STS) but were underpowered for OS. We examine the impact of local treatment modalities on OS and sarcoma mortality (SM) using two national registries. The National Cancer Database (NCDB) and the Surveillance, Epidemiology, and End Results (SEER) Program were analyzed separately to identify patients with stage II‐III, high‐grade E‐STS diagnosed between 2004 and 2013 and treated with (1) amputation alone, (2) limb‐sparing surgery (LSS) alone, (3) preoperative radiation therapy (RT) and LSS, or (4) LSS and postoperative RT. Multivariable analyses (MVAs) and 1:1 matched pair analyses (MPAs) examined treatment impacts on OS (both databases) and SM (SEER only). From the NCDB and SEER, 7828 and 2937 patients were included. On MVAs, amputation was associated with inferior OS and SM. Relative to LSS alone, both preoperative RT and LSS (HR, 0.70; 95% CI: 0.62‐0.78) and LSS and postoperative RT (HR, 0.69; 95% CI: 0.63‐0.75) improved OS in NCDB analyses with confirmation by SEER. Estimated median survivals from MPA utilizing NCDB data were 7.2 years with LSS alone (95% CI: 6.5‐8.9 years) vs 9.8 years (95% CI: 9.0‐11.2 years) with LSS and postoperative RT. A MPA comparing preoperative RT and LSS to LSS alone found median survivals of 8.9 years (95% CI: 7.9‐not estimable) and 6.6 years (95% CI: 5.4‐7.8 years). Optimal high‐grade E‐STS management includes LSS with preoperative or postoperative RT as evidenced by superior OS and SM.

422 Background: Since approval of sorafenib in December 2005, several targeted therapeutic agents have been approved by the FDA for the treatment of advanced renal cell carcinoma. This study was conducted to find out whether the improvements in survival of advanced RCC patients with targeted agents have translated into survival benefit in population-based cohort. Methods: We analyzed the Surveillance, Epidemiology, and End Results (SEER) 18 registry database to compare 1- and 3-year relative survival rates among advanced RCC patients during 2001-2009, 2001-2004, and 2006-2009. We also evaluated the survival rates by age (&lt;65 and ≥65 years) and sex. We used SEER*Stat software to analyze the data. Results: The total number of advanced RCC patients during 2001-2009, 2001-2004, and 2006-2009 were 7,055, 3,355 and 2,985 respectively. During 2001-2009, the 1- and 3-year relative survival rates were 26.7± 0.6% and 10.0±0.4% respectively. The 1-year relative survival rates during 2001-2004 and 2006-2009 were 27.0±0.8% and 27.1±0.9%, (p value=1.3) respectively. Similarly, the 3-year survival rates during 2001-2004 and 2006-2009 were 10.1±0.6% and 9.6±0.8%, (p value=1.42), respectively. There was no significant difference in survival rates during 2001-2004 and 2006-2009 periods by age and sex. Conclusions: This population based study showed that there was no significant improvement in relative survival rates among advanced RCC patients in the era of targeted agents. As with other database analyses, limitations of this large study may be incomplete reporting practices and lack of data on treatment.

Race, Ethnicity, and Socioeconomic Status Are Associated With Prolonged Time to Treatment After a Diagnosis of Colorectal Cancer: A Large Population-Based Study

Improved survival in chronic lymphocytic leukemia over two decades: A SEER-based population analysis (2000–2021)

BackgroundThe 5-year survival rate of cancer patients is the most commonly used statistic to reflect improvements in the war against cancer. This idea, however, was refuted based on an analysis showing that changes in 5-year survival over time bear no relationship with changes in cancer mortality.MethodsHere we show that progress in the fight against cancer can be evaluated by analyzing the association between 5-year survival rates and mortality rates normalized by the incidence (mortality over incidence, MOI). Changes in mortality rates are caused by improved clinical management as well as changing incidence rates, and since the latter can mask the effects of the former, it can also mask the correlation between survival and mortality rates. However, MOI is a more robust quantity and reflects improvements in cancer outcomes by overcoming the masking effect of changing incidence rates. Using population-based statistics for the US and the European Nordic countries, we determined the association of changes in 5-year survival rates and MOI.ResultsWe observed a strong correlation between changes in 5-year survival rates of cancer patients and changes in the MOI for all the countries tested. This finding demonstrates that there is no reason to assume that the improvements in 5-year survival rates are artificial. We obtained consistent results when examining the subset of cancer types whose incidence did not increase, suggesting that over-diagnosis does not obscure the results.ConclusionsWe have demonstrated, via the negative correlation between changes in 5-year survival rates and changes in MOI, that increases in 5-year survival rates reflect real improvements over time made in the clinical management of cancer. Furthermore, we found that increases in 5-year survival rates are not predominantly artificial byproducts of lead-time bias, as implied in the literature. The survival measure alone can therefore be used for a rough approximation of the amount of progress in the clinical management of cancer, but should ideally be used with other measures.

Retinoblastoma (RB) is the most common primary intraocular cancer of childhood. Over the last few decades, a variety of techniques and treatment modalities emerged that improved the survival and ocular salvage rate of patients with RB. We investigated the relative survival trends of patients with RB from 2000 to 2018 by using the Surveillance, Epidemiology, and End Results (SEER) database. Retrospective database review. We extracted data from SEER 18 from 2000 to 2018. All patients with clinically diagnosed RB during the study period were included. We utilized SEER*Stat 8.3.9 and JPSurv software to estimate relative 5- and 10-year survival rates and trends and generated descriptive analyses with IBM SPSS. Patient survival rates at 5- and 10-year after RB diagnosis. RB was diagnosed in 1479 patients within the SEER 18 Program during our study period. The cohort comprised 776 (52.5%) males, 615 (41.6%) non-Hispanic whites, 487(32.9%) Hispanics, 1030 (69.6%) patients with unilateral disease, and 1087 (73.5%) patients with localized disease. Relative survival trends at 5- and 10-year significantly declined over the study periods (-0.42%, and -0.50% annually, respectively) but the decline was not significant in unilateral and bilateral RB cases separately. Five- and ten-year relative survival trends declined from 2000 to 2018 and were significantly decreasing. Further studies that include more patients are needed to identify the factors contributing to reduced survival of patients with RB over time.

Hepatocellular carcinoma (HCC) is a common malignancy with poor survival and requires long-term follow-up. Hence, we collected information on patients with Primary Hepatocellular Carcinoma in the United States from the Surveillance, Epidemiology, and EndResults (SEER) database. We used this information to establish a deep learning with a multilayer neural network (the NMTLR model) for predicting the survival rate of patients with Primary Hepatocellular Carcinoma. HCC patients pathologically diagnosed between January 2011 and December 2015 in the SEER (Surveillance, Epidemiology, and End Results) database of the National Cancer Institute of the United States were selected as study subjects. We utilized two deep learning-based algorithms (DeepSurv and Neural Multi-Task Logistic Regression [NMTLR]) and a machine learning-based algorithm (Random Survival Forest [RSF]) for model training. A multivariable Cox Proportional Hazards (CoxPH) model was also constructed for comparison. The dataset was randomly divided into a training set and a test set in a 7:3 ratio. The training dataset underwent hyperparameter tuning through 1000 iterations of random search and fivefold cross-validation. Model performance was assessed using the concordance index (C-index), Brier score, and Integrated Brier Score (IBS). The accuracy of predicting 1-year, 3-year, and 5-year survival rates was evaluated using Receiver Operating Characteristic (ROC) curves, calibration plots, and Area Under the Curve (AUC). The primary outcomes were the 1-year, 3-year, and 5-year overall survival rates. Models were developed using DeepSurv, NMTLR, RSF, and Cox Proportional Hazards regression. Model differentiation was evaluated using the C-index, calibration with concordance plots, and risk stratification capability with the log-rank test. The study included 2197 HCC patients, randomly divided into a training cohort (70%, n = 1537) and a testing cohort (30%, n = 660). Clinical characteristics between the two cohorts showed no significant statistical difference (p > 0.05). The deep learning models outperformed both RSF and CoxPH models, with C-indices of 0.735 (NMTLR) and 0.731 (DeepSurv) in the test dataset. The NMTLR model demonstrated enhanced accuracy and well-calibrated survival estimates, achieving an Area Under the Curve (AUC) of 0.824 for 1-year survival predictions, 0.813 for 3-year, and 0.803 for 5-year survival rates. This model's superior calibration and discriminative ability enhance its utility for clinical prognostication in Primary Hepatocellular Carcinoma. We deployed the NMTLR model as a web application for clinical practice. The NMTLR model have potential advantages over traditional linear models in prognostic assessment and treatment recommendations. This novel analytical approach may provide reliable information on individual survival and treatment recommendations for patients with primary liver cancer.