Surveillance, Epidemiology, And End Results Database Analysis Research Articles

Analysis of risk characteristics for early progression and late progression in locally advanced rectal cancer patients: a large population-based and validated study.

The current study aimed to explore the factors influencing early progression (EP) and late progression (LP) in locally advanced rectal cancer (LARC) patients. The patients were classified into EP and LP groups using one year as a cutoff. The random survival forest model was utilized to calculate the probability of time-to-progression. Besides, inverse probability of treatment weighting (IPTW) analysis and the Surveillance, Epidemiology, and End Results (SEER) were conducted to validate our results. Our study revealed that PNI, CEA level, and pathological stage were independent prognostic factors for PFS both in EP group and LP group. For EP group patients, Group 1 had the highest probability of progression at the 9th month of follow-up, while Group 2 exhibited the highest probability at the 6th month. Group 3, on the other hand, showed two peaks of progression at the 4th and 8th months of follow-up. As for LP group patients, Groups 4, 5, and 6 all exhibited peaks of progression between the 18th and 24th months of follow-up. Furthermore, our results suggested that PNI was also an independent prognostic factor affecting OS in both EP group and LP group. Finally, the analysis of IPTW and SEER database further confirmed our findings. Our results indicated a significant correlation between immune and nutritional status with PFS and OS in both EP and LP groups. These insights can aid healthcare professionals in effectively identifying and evaluating patients' nutritional status, enabling them to develop tailored nutrition plans and interventions.

Abstract PO1-08-05: Using the CTS5 Score to Predict Late Recurrence in Male and Female Estrogen Receptor-Positive Breast Cancer Patients: a SEER database analysis of 65,729 cases

Abstract Purpose: The Clinical Treatment Score post-5 years (CTS5) score is a prognostic prediction tool to predict the risk of late distant recurrence in postmenopausal women with estrogen receptor-positive (ER+) breast cancer. Here we aimed to evaluate the prediction role of CTS5 in male breast cancer patients using the Surveillance, Epidemiology, and End Results (SEER) database. Methods: ER+ early male and female breast cancer patients from the SEER database 2010-2013 were included. Clinicopathological features and the CTS5 score between the gender groups were compared using chi-square test. Overall survival (OS) and breast cancer-specific survival (BCSS) were estimated by Kaplan-Meier plots and compared between the groups with Log-rank test and multivariate cox proportional hazard regression models was used to determine the relationship between the CTS5 score and breast cancer survival outcomes in different gender cohorts. Results: A total of 65,729 ER+ breast cancer patients were included in the study and 611 were men. Male breast cancer was more likely to be diagnosed later in life (>50 years old, 87.1% vs 73.6%, p < 0.001), with more aggressive biological features (grade Ⅱ 51.6% vs 47.2%, p < 0.001; grade Ⅲ 37.8% vs 28.3%, p < 0.001) , and higher tumor burden (stage Ⅱ 45.8% vs 32.9%, p < 0.001, stage Ⅲ 17.5% vs 10.5%, p < 0.001) when compared to female counterparts. More male patients were CTS5 intermediate- or high-risk than female patients (high 7.9% vs 6.3%, intermediate 41.1% vs 24.6%, low 51.1% vs 69.1%, p < 0.001). Patients were divided into 0-5 year and >5 year cohorts based on whether they had a BCSS event within 5 years. In the >5 year cohort, patients with CTS5 high- or intermediate- risk had worse survival outcomes compared with low-risk cases in male and postmenopausal female patients but not in premenopausal female patients. In the 0-5 year cohort, the CTS5 score was not predictive for disease recurrence in male or postmenopausal patients. Conclusion: Male breast cancer patients were more likely to have aggressive tumors and worse survival outcomes. The CTS5 score could be applied to predict breast cancer-specific mortality risk beyond 5 years in male ER+ breast cancer patients. Citation Format: Fenhua Wang, Fang Ren, Jian Qian, Yunxia Xu, Jiayi Wu, Yu Zong, Xidong Gu. Using the CTS5 Score to Predict Late Recurrence in Male and Female Estrogen Receptor-Positive Breast Cancer Patients: a SEER database analysis of 65,729 cases [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-08-05.

Conditional survival analysis and real-time prognosis prediction in stage III T3–T4 colon cancer patients after surgical resection: a SEER database analysis

BackgroundConditional survival (CS) takes into consideration the duration of survival post-surgery and can provide valuable additional insights. The aim of this study was to investigate the risk factors associated with reduced one-year postoperative conditional survival in patients diagnosed with stage III T3–T4 colon cancer and real-time prognosis prediction. Furthermore, we aim to develop pertinent nomograms and predictive models.MethodsClinical data and survival outcomes of patients diagnosed with stage III T3–T4 colon cancer were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, covering the period from 2010 to 2019. Patients were divided into training and validation cohorts at a ratio of 7:3. The training set consisted of a total of 11,386 patients for conditional overall survival (cOS) and 11,800 patients for conditional cancer-specific survival (cCSS), while the validation set comprised 4876 patients for cOS and 5055 patients for cCSS. Univariate and multivariate Cox regression analyses were employed to identify independent risk factors influencing one-year postoperative cOS and cCSS. Subsequently, predictive nomograms for cOS and cCSS at 2-year, 3-year, 4-year, and 5-year intervals were constructed based on the identified prognostic factors. The performance of these nomograms was rigorously assessed through metrics including the concordance index (C-index), calibration curves, and the area under curve (AUC) derived from the receiver operating characteristic (ROC) analysis. Clinical utility was further evaluated using decision curve analysis (DCA).ResultsA total of 18,190 patients diagnosed with stage III T3–T4 colon cancer were included in this study. Independent risk factors for one-year postoperative cOS and cCSS included age, pT stage, pN stage, pretreatment carcinoembryonic antigen (CEA) levels, receipt of chemotherapy, perineural invasion (PNI), presence of tumor deposits, the number of harvested lymph nodes, and marital status. Sex and tumor site were significantly associated with one-year postoperative cOS, while radiation therapy was notably associated with one-year postoperative cCSS. In the training cohort, the developed nomogram demonstrated a C-index of 0.701 (95% CI, 0.711–0.691) for predicting one-year postoperative cOS and 0.701 (95% CI, 0.713–0.689) for one-year postoperative cCSS. Following validation, the C-index remained robust at 0.707 (95% CI, 0.721–0.693) for one-year postoperative cOS and 0.700 (95% CI, 0.716–0.684) for one-year postoperative cCSS. ROC and calibration curves provided evidence of the model's stability and reliability. Furthermore, DCA underscored the nomogram’s superior clinical utility.ConclusionsOur study developed nomograms and predictive models for postoperative stage III survival in T3–T4 colon cancer with the aim of accurately estimating conditional survival. Survival bias in our analyses may lead to overestimation of survival outcomes, which may limit the applicability of our findings.

Metastasis patterns and prognosis in young gastric cancer patients: A propensity score‑matched SEER database analysis.

Whether young patients with metastatic gastric cancer (GC) had distinct metastasis patterns and survival outcomes from older patients remains controversial. The aim of the present study was to explore the metastasis patterns and prognostic factors in young patients and evaluate the survival outcome in comparison to their older counterparts. We identified patients with metastatic GC in the surveillance, epidemiology, and end results (SEER) database from 2010 to 2015. The patients were divided into two groups based on age at diagnosis: younger (≤40 years old) and older (>40 years old). We employed the chi-squared test to compare the clinicopathological characteristics between the two age groups. Furthermore, we conducted survival analyses using Kaplan-Meier and Cox regression analyses. To balance disparities in baseline characteristics, we employed propensity score matching (PSM). We identified 5,580 metastatic GC patients from the SEER database, with 237 (4.2%) classified as younger and 5343 (95.8%) as older patients. A total of 237 pairs of patients were generated after adjustment by PSM. Patients in the younger group exhibited a higher proportion of bone-only metastases and a lower proportion of liver-only metastases compared with patients in the older group. Multivariate Cox regression analysis demonstrated that youth was an independent protective factor for overall survival (OS) before and after PSM, but not for gastric cancer-specific survival (GCSS). Among the younger group, patients with liver-only metastasis demonstrated the best prognosis, whereas patients with lung-only metastasis exhibited significantly worse survival outcomes compared with liver-only metastases, even comparable to that of bone metastasis. Compared with the older group, the metastatic GC patients in the younger group exhibited more aggressive tumors but better prognoses. The metastasis pattern and its effect on the prognosis of GC varied by age group.

Impact of lymph node dissection on cancer-specific survival in non-small cell lung cancer patients: a SEER database analysis.

Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality worldwide, and lymph node dissection (LND) is a significant surgical procedure employed in its management. Although some studies suggest benefits of LND, the extent of its impact on survival, the optimal range of lymph nodes to be examined, and the specific patient groups that benefit most remain areas of active debate and investigation. A population-based analysis was conducted using the Surveillance, Epidemiology, and End Results (SEER) database. Patients diagnosed with NSCLC between 2004 and 2017, undergoing primary tumor resection, were included. Descriptive, univariate, and multivariate analyses assessed the effect of LND on survival, and a restricted cubic spline method determined the optimal range for lymph node examination. This study of 37,323 NSCLC patients delved into the impact of LND on lung cancer-specific survival. Key findings revealed a median survival of 19.58 months, with 85% mortality. Baseline characteristics included a majority of White patients (81%), distant stage diagnoses (63%), and 64% with Grade IV tumors. LND emerged as a crucial predictor, influencing survival across age, gender, race, and tumor characteristics. Univariate analysis highlighted its significance, with higher T, N, and M categories, advanced stage, and poorer grade associating with elevated hazard ratios. Multivariate Cox proportional hazards (PH) analysis reinforced LND's impact, showcasing lower hazard ratios post-removal. Hazard ratios for biopsy/aspiration and removal of regional lymph nodes were 0.85 [95% confidence interval (CI): 0.81-0.89; P<0.001] and 0.43 (95% CI: 0.39-0.46; P<0.001), underscoring the protective effect. Visualizations and a U-shaped curve analysis identified an optimal range (24-32 nodes) for examination, emphasizing the nuanced benefits across NSCLC stages. The study findings suggest that LND plays a critical role in improving cancer-specific survival in NSCLC patients, particularly when tailored to the early stages of the disease. The optimal range of lymph nodes examined, between 24 and 32, offers crucial insights for personalized NSCLC treatment strategies and may enhance overall survival. These results underscore the need for refined surgical guidelines that incorporate the extent of LND, supporting the utility of a more personalized approach in NSCLC management.

Abstract 4871: Colorectal cancer incidence and overall survival by race, stage, and age: A SEER database analysis, 2009-2020

Abstract Introduction: In the United States, colorectal cancer (CRC) is the fourth most common cancer and the second leading cause of cancer-related deaths. Although incidence rates of CRC have been decreasing overall, recent studies suggest a shift in demographics, specifically an increase in the number of new CRC cases among younger individuals and a higher incidence among those who identify as non-Hispanic Native American/Alaska Native. To examine the latest trends in incidence and overall survival (OS) among adults with CRC in the United States, we conducted an observational study using the Surveillance, Epidemiology, and End Results (SEER) Program database. Methods: Patients aged ≥18 years with newly diagnosed CRC between January 1, 2009, and December 31, 2020 were identified in the SEER 17 database. Age-adjusted incidence rates for CRC were calculated by race/ethnicity and age groups (18-49, 50-64, and ≥65 years) from 2009 to 2020. Kaplan-Meier curves were generated to examine 5-year OS by race/ethnicity, stage, and age groups. Results: There were 429,218 CRC cases identified with a median age of 67 years. Most were male (52.4%) with stage 0-II CRC (51.4%). Most patients identified as non-Hispanic White (66.3%), followed by non-Hispanic Black (11.5%), non-Hispanic Asian/Pacific Islander (8.9%), non-Hispanic Native American/Alaska Native (0.7%), and Hispanic of any race (12.7%). The age-adjusted incidence rate between 2009 and 2020 was 51.9 per 100,000 persons; incidence decreased from 59.5 per 100,000 persons in 2009 to 44.2 per 100,000 persons in 2020, with male patients having a higher incidence rate than female patients. By 2020, non-Hispanic Native American/Alaska Native patients had the highest incidence rate (54.5 per 100,000 persons) followed by non-Hispanic Black patients (50.6 per 100,000 persons). CRC incidence rates increased slightly for age &amp;lt;50 years (10.5 to 12.9 per 100,000 persons) and decreased for ages 50-64 (74.6 to 63.9 per 100,000 persons) and ≥65 years (222.4 to 136.1 per 100,000 persons). Non-Hispanic Black patients (53%), age ≥65 years (47%), and those with stage III-IV CRC (41%) had a lower 5-year OS from 2015 to 2019 compared to patients who were non-Hispanic White (57%), aged 50-64 (68%) and &amp;lt;50 years (70%), and with stage 0-II CRC (77%). Conclusion: Our results confirm a slight increase in CRC incidence among younger (&amp;lt;50 years) individuals over the 2009-2020 time period. Patients who were non-Hispanic Native American/Alaska Native had the highest CRC incidence rate and patients who were non-Hispanic Black had the poorest OS. Targeted preventative efforts such as CRC screening programs in addition to improved access to care/treatment may be needed to reduce the number of new cases and improve outcomes among historically underserved groups. Citation Format: Alicia C. McDonald, Seongjung Joo, Jiemin Ma, Mayur M. Amonkar, Changxia Shao, Kaushal Desai, Anne C. Deitz. Colorectal cancer incidence and overall survival by race, stage, and age: A SEER database analysis, 2009-2020 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4871.

Development and validation of a nomogram model for predicting distant metastasis of aged ≥50 patients with thyroid carcinoma: a SEER database analysis.

This work aimed to construct and validate a model for predicting distant metastasis (DM) in thyroid carcinoma (TC) patients aged≥50. The research data were collected from the Surveillance, Epidemiology, and End Results (SEER) program databases via SEER*Stat software (https://seer.cancer.gov/). Logistics regression was used to screen the independent risk factors for TC patients. The nomogram was constructed and validated based on the logistics regression results for predicting DM occurrence in TC patients. Moreover, the characteristic curves (ROC) were used to assess the predictive performance. The decision analysis curve (DCA) and the calibration curve were used to test this nomogram's accuracy and discrimination. Additionally, we analyzed survival and risk scores in TC patients with metastasis using the Kaplan-Meier (KM) method. A total of 11,166 TC patients were divided into a training set and a validation set. The results showed that topography (T), lymph node metastasis (N), and (grade) G were crucial risk factors for predicting DM. ROC analysis showed that the model had a good discriminative ability both in the training and validation set. The DCA curve showed greater net benefits across a range of DM risks for the nomogram in the training and validation set. Survival analyses showed that the metastasis cases with low-risk scores have shown a poorer prognosis in this study, both in the training and validation set. The nomogram model had excellent predictive performance and net benefit for predicting DM of TC patients aged ≥50. The model can help doctors develop treatment plans for their patients.

Clinicopathological, metastatic and prognostic features of stage IV esophageal adenocarcinoma versus squamous cell carcinoma: a SEER database analysis.

It is important to note that although the current treatment for advanced esophageal cancer (EC) has made great technological advances, patients' 5-year survival rates do not appear to be encouraging. Therefore, understanding the clinicopathological features and metastasis patterns of the patients with stage IV EC, combined with the prognosis of these patients, can aid in choosing the optimal treatment plan. It is well known that esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) are the two most common pathological types. The aim of this study is to examine and compare the clinicopathological features and metastatic modes of stage IV ESCC and EAC, as well as their prognosis and survival. Based on the Surveillance, Epidemiology, and End Results (SEER) database, we assessed the characteristics of ESCCs and EACs associated with prognosis using the Kaplan-Meier survival analysis, and the Cox regression model. Furthermore, the clinical data of 217 patients with stage IV ESCC and EAC in the Department of Gastroenterology of the Second Affiliated Hospital of Nantong University between 2014 and 2016 were reviewed. A total of 3,707 cases treated between 2010 and 2016 were included. The incidence of EAC in the United States is much higher than that of ESCC. Common metastasis patterns were lungs only, liver only, bones only, and lung & liver. The multivariate Cox analysis showed that treatment mode and metastasis patterns were independent risk factors affecting the overall survival (OS) time of patients (stage IV ESCC & EAC). EAC patients with only lung metastases may have a longer survival if chose treatment options that included surgery. In the external cohort, a total of 217 cases were included. The prevalence of ESCC is much higher than that of EAC, and the common metastasis patterns are liver only, lung only, and liver & lung. The multivariate Cox analysis showed that treatment mode was independent risk factor affecting the OS time of patients (stage IV ESCC & EAC). EAC patients treated with surgery combined with chemoradiotherapy may have a better prognosis. In general, the prognosis of patients with stage IV ESCC and EAC are poor. However, surgery was found to significantly improve the OS time of patients with stage IV EAC in this study.

Development and validation of web-based nomograms for predicting survival status in patients with intrahepatic cholangiocarcinoma depending on the surgical status: a SEER database analysis

This study aimed to develop and validate prognostic nomograms that can estimate the probability of 1-, 3- and 5-year overall survival (OS) as well as cancer-specific survival (CSS) for Intrahepatic cholangiocarcinoma (ICCA) patients. Clinical data of 1446 patients diagnosed with ICCA between 2010 and 2017 from the Surveillance, Epidemiology, and End Results (SEER) database were analyzed. In both the OS and the CSS group, the training cohort and validation cohort were divided into a 7:3 ratio. Age, sex, AJCC T stage, AJCC N stage, AJCC M stage, surgical status, and tumor grade were selected as independent prognostic risk factors to build the nomograms. To compare the efficacy of predicting 1-, 3-, and 5-year OS and CSS rates of the nomogram with the 8th edition of the American Joint Committee on Cancer (AJCC) staging system, we evaluated the Harrell’s index of concordance (C-index), area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) in both cohorts. The results showed the nomogram for 1-, 3-, and 5-year OS and CSS prediction performed better than the AJCC staging system. In the subgroup analysis for patients could not receive surgery as the primary treatment. We developed two nomograms for predicting the 1-, and 2-year OS and CSS rates following the same analysis procedure. Results indicate that the performance of both nomograms, which contained sex, AJCC T stage, AJCC M stage, chemotherapy, and tumor grade and prognostic factors, was also superior to the AJCC staging system. Meanwhile, four dynamic network-based nomograms were published. The survival analysis showed the survival rate of patients classified as high-risk based on the nomogram score was significantly lower compared to those categorized as low-risk (P < 0.0001). Finally, accurate and convenient nomograms were established to assist clinicians in making more personalized prognosis predictions for ICCA patients.

Prognostic model for survival in patients with neuroendocrine carcinomas of the cervix: SEER database analysis and a single-center retrospective study.

Neuroendocrine carcinoma of the cervix (NECC) is extremely rare in clinical practice. This study aimed to methodologically analyze the clinicopathological factors associated with NECC patients and to develop a validated survival prediction model. A total of 535 patients diagnosed with NECC between 2004 and 2016 were identified from the Surveillance, Epidemiology and End Results (SEER) database, while 122 patients diagnosed with NECC at Yunnan Cancer Hospital (YCH) from 2006 to 2019 were also recruited. Patients from the SEER database were divided into a training cohort (n = 376) and a validation cohort (n = 159) in a 7:3 ratio for the construction and internal validation of the nomogram. External validation was performed in a cohort at YCH. The Kaplan-Meier method was used for survival analysis, the Log-rank method test was used for univariate analysis of prognostic influences, and the Cox regression model was used for multivariate analysis. The 3-year and 5-year overall survival (OS) rates for patients with NECC in SEER were 43.6% and 39.7%, respectively. In the training cohort, multivariate analysis showed independent prognostic factors for NECC patients including race, tumor size, distant metastasis, stage, and chemotherapy (p<0.05). For extended application in other cohorts, a nomogram including four factors without race was subsequently created. The consistency index (C-index) of the nomogram predicting survival was 0.736, which was well-validated in the validation cohorts (0.746 for the internal validation cohort and 0.765 for the external validation cohort). In both the training and validation cohorts, the 3-year survival rates predicted by the nomogram were comparable to the actual ones. We then succeeded in dividing patients with NECC into high- and low-risk groups concerning OS using the nomogram we developed. Besides, univariate analysis showed that chemotherapy ≥4 cycles may improve the OS of patients at YCH with NECC. We successfully constructed a nomogram that precisely predicts the OS for patients with NECC based on the SEER database and a large single-center retrospective cohort. The visualized and practical model can distinguish high-risk patients for recurrence and death who may benefit from clinical trials of boost therapy effectively. We also found that patients who received more than 4 cycles of chemotherapy acquired survival benefits than those who received less than 4 cycles.

Effect of radiation therapy on patients with stage T3 or T4 malignant phyllodes tumors: a retrospective observational study based on SEER

PurposeAmong all primary breast tumors, malignant phyllodes tumor of the breast (MPTB) make up less than 1%. In the treatment of phyllode tumors, surgical procedures such as mastectomy and breast-conserving surgery are the mainstay. MPTB has, however, been controversial when it comes to treating it with RT. We aimed to explore the prognostic impact of RT and other clinicopathologic factors on long-term survival for patients with stage T3 or T4 malignant phyllodes tumors.MethodsWe select patients with stage T3 or T4 MPTB who qualified for the criteria between 2000 and 2018 via the Surveillance, Epidemiology, and End Results (SEER) database. We performed 1:1 propensity score matching (PSM) and Kaplan–Meier analysis to explore the role of RT in long-term survival of patients with stage T3 or T4 MPTB. A univariate and multivariate analysis of breast cancer-specific survival (BCSS) and overall survival (OS) risk factors was carried out using a Cox proportional hazards model. In addition, the nomogram graph of OS and BCSS was constructed.ResultsA total of 583 patients with stage T3 or T4 malignant phyllodes tumors were included in this study, of whom 154 (26.4%) received RT, and 429 (73.6%) were treated without RT. Before adjustment, between groups with and without RT, BCSS (p = 0.1) and OS (p = 0.212) indicated no significant difference respectively. Using of PSM, the two groups still did not differ significantly in BCSS (p = 0.552) and OS (p = 0.172). In multivariate analysis, age (p < 0.001), surgery of primary site (p < 0.001) and distant metastatic status (p < 0.001) were related to prognosis, while RT still did not affect BCSS (p = 0.877) and OS (p = 0.554).ConclusionBased on the SEER database analysis, the study suggests that the patients with stage T3 or T4 MPTB treated with RT after surgery didn't have significant differences in BCSS or OS compared to those not treated with RT.

A prognostic nomogram and risk classification system of elderly patients with extraosseous plasmacytoma: a SEER database analysis.

The survival trends and prognostic factors of patients with extraosseous plasmacytoma (EOP) or extramedullary plasmacytoma (EMP) have not been reported in recent years. The objective of this study was to develop a novel nomogram and risk stratification system for predicting the overall survival (OS) of elderly patients with EOP based on the Surveillance, Epidemiology, and End Results (SEER) database. The demographic characteristics of 900 patients aged 60years and above, diagnosed with EOP between 2000 and 2019, were extracted from the SEER database. The patient population was randomly divided into a training cohort and an internal validation cohort in a ratio of 7:3. Univariate and multivariate Cox regression analyses were conducted to identify independent predictors of prognosis in elderly EOP patients, followed by developing a nomogram for prognostic assessment. The performance of the model was evaluated through receiver-operating characteristic (ROC) curves, C-index, calibration curves for calibration accuracy assessment, and decision curve analysis (DCA) to assess its clinical utility. All elderly EOP patients were stratified into three risk subgroups by cutoff value utilizing X-tile software based on their total OS scores for comparative analysis purposes. Kaplan-Meier (K-M) survival curve analysis was employed to validate any observed differences in OS among these three risk groups. Six factors including age, year of diagnosis, marital status, primary site, surgery, and prior tumor history were identified to be independently predictive of the OS of elderly patients with EOP, and these predictors were included in the construction of the nomogram. The 1-, 3-, and 5-year area under the curves (AUCs) for OS were 0.717, 0.754, and 0.734 in the training cohort and 0.740, 0.730, and 0.765 in the validation cohort, respectively. The C-index values in the two cohorts were 0.695 and 0.690. The calibration curves and DCA exhibit commendable consistency and validity, respectively, thereby demonstrating their robust performance. The training set was stratified into low-, medium-, and high-risk subgroups based on the optimal cutoff points (167.8 and 264.8) identified. The K-M curve and cumulative risk curve exhibited statistically significant disparities in survival rates among the groups. We developed a nomogram and risk classification system, which can serve as an intuitive and effective tool for clinicians to enhance the prediction of OS in elderly EOP patients, thereby facilitating the formulation of more rational and personalized treatment strategies.

Personalized prognostic prediction tool for high-grade neuroendocrine cervical cancer: a SEER database analysis and single-center validation

PurposeCervical high-grade neuroendocrine carcinoma (CHGNEC) is a rare but highly aggressive cancer. The purpose of this study is to develop a prognostic nomogram that can accurately predict the outcomes for CHGNEC patients.MethodsWe analyzed clinical data from the Surveillance, Epidemiology, and End Results (SEER) database of CHGNEC patients, including small-cell neuroendocrine carcinoma (SCNEC) and large-cell neuroendocrine carcinoma (LCNEC). We investigated patient characteristics and prognosis, and developed a prognostic nomogram model for cancer-specific survival in CHGNEC patients. External validation was conducted using real clinical cases from our hospital.ResultsOur study included 306 patients from SEER database, with a mean age of 49.9 ± 15.5 years. Most of the patients had SCNEC (86.9%). Among them, 170 died from the disease, while 136 either survived or died from other causes. Our final predictive model identified age at diagnosis, stage 1 status, stage 4 status, T1, N0, and surgery of the primary site as independent prognostic factors for CHGNEC. We validated our model using a group of 16 CHGNEC patients who underwent surgery at our center. The external validation showed that the prognostic nomogram had excellent discriminative ability, with an area under the receiver operating characteristic curve (AUC) of 0.76 (95% CI 0.49–1.00) for the prediction of 3-year cancer-specific survival (CSS) and an AUC of 0.85 (95% CI 0.62–1.00) for the prediction of 5-years CSS. The random survival forest model achieved an AUC of 0.80 (95% CI 0.56–1.00) for 3-years CSS and 0.91 (95% CI 0.72–1.00) for 5-years CSS, indicating its adequacy in predicting outcomes for CHGNEC patients.ConclusionOur study provides an excellent nomogram for predicting the prognosis of CHGNEC patients. The prognostic nomogram can be a useful tool for clinicians in identifying high-risk patients and making personalized treatment decisions.

Influence factors of the survival in colorectal cancer patients with second primary malignancy after surgery: A SEER database analysis.

The survival rate is significantly reduced in patients with colorectal cancer (CRC) who developing a second primary malignancy (SPM), and however, little has known about the factors that contribute to the mortality of SPMs among CRC survivors. This study aims to explore the influence factors in both the all-cause and cancer-specific mortality of patients with SPMs after CRC surgery. Data of adult CRC patients with SPMs were extracted from the Surveillance, Epidemiology, and End Results (SEER) database in this retrospective cohort study. The associations between potential influence factors and all-cause mortality and cancer-specific mortality were explored using univariate and multivariate Cox proportional hazards analyses. The evaluation indexes were hazard ratios (HRs), and 95% confidence intervals (CIs). We also drew pie charts to respectively reflect the distributions of SPMs sites and time interval in study population. A total of 1202 (56.14%) patients died for all-cause, and 464 (21.67%) died due to CRC. The results showed that after adjusting for covariates, age, sex, marital status, T stage of CRC, second primary cancer site, stage of SPMs, grade of SPMs, TNM stage of SPMs, and time interval were associated with all-cause mortality, while marital status, stage of CRC, T stage of CRC, chemotherapy, second primary cancer site, stage of SPMs, grade of SPMs, TNM stage of SPMs, and time interval were associated with cancer-specific mortality in patients with CRC. In addition, colon (23.5%) was the most common site of SPMs, followed by digestive system (19.0%), and the time interval between CRC and SPMs in most patients was over 5 years (28.4%). Our findings may assist clinicians to identify high-risk patients for SPMs after CRC surgery. Also, the postoperative long-term follow-up and close attention on the key systems where the SPMs may occur are of great necessary in patients with CRC.

Competing risk analysis of cardiovascular-specific mortality in typical carcinoid neoplasms of the lung: A SEER database analysis.

Cardiovascular mortality (CVM) is a growing concern for cancer survivors. This study aimed to investigate the mortality patterns of individuals with typical carcinoid (TC) tumors, identify independent predictors of CVM, and compare these risk variables with those associated with TC deaths. The Surveillance, Epidemiology, and End Results (SEER) database from 2000 to 2019 was utilized for obtaining data on patients with TC. Standardized mortality rates were employed to evaluate the risk of CVM while multivariate competing risk models were used to determine the association between patient characteristics and the probability of CVM or TC-related deaths. Our findings show that TC patients had an increased risk of CVM, with an standardized mortality rates of 1.12 (95% CI:1.01-1.25). Furthermore, we discovered that age at diagnosis, marital status, year of diagnosis, SEER stage, site, year of diagnosis, surgery, radiotherapy, and chemotherapy all contributed independently to the risk of CVM in patients with TC, whereas age at diagnosis, sex, race, SEER stage, site, year of diagnosis, surgery, radiotherapy, and chemotherapy all contributed significantly to TC mortality. Compared to the general population in the United States, patients with TC are significantly more likely to acquire CVM. Timely introduction of cardioprotective treatments is critical for preventing CVM in patients with TC.

Comparison of Survival Outcomes between Adults and Pediatrics with Non-Metastatic Head and Neck Rhabdomyosarcoma: A SEER Database Analysis of 550 Patients

Despite the long-term survival rate for children with head and neck rhabdomyosarcoma (HNRMS) has improved to over 70-80% due to advancements in therapeutic approaches, the survival outcomes for adult HNRMS have not been thoroughly investigated. Our study aims to compare and analyze the survival outcomes of adult and pediatric patients with non-metastatic HNRMS, with a focus on the effect of different local treatment methods on disease outcomes. We conducted a retrospective analysis of data from the Surveillance, Epidemiology, and End Results (SEER) database covering the period from 2004 to 2018. Our study population consisted of patients with Head and Neck Rhabdomyosarcoma (HNRMS) who had not developed distant metastases and received at least one local treatment, either radiotherapy or surgery. The comparison of overall survival (OS) and cancer-specific survival (CSS) was performed between the adult and pediatric patient groups, and between patients who received surgery (with or without radiotherapy) and those who received radiotherapy only (non-surgery). In the study of 550 patients diagnosed with Head and Neck Rhabdomyosarcoma (HNRMS), data was collected from 181 (32.9%) adult and 369 (67.1%) pediatric patients. The results showed that the adult patient group had a significantly worse outcome compared to the pediatric group in terms of 5-year overall survival (OS) rate (34.9% vs 81.6%, P<0.001) and 5-year cancer specific survival (CSS) rate (59.96% vs 87.48%, P<0.001). Of these patients, 308(56%) underwent radical surgery, with 228 (41.5%) receiving a combination of radiation and surgery and the remaining 242 (44%) receiving radiation therapy alone. No significant differences were found in 5-year OS and CSS rates between the surgery and non-surgery (radiation only) groups in adult patients (34.9% vs 35.0%, P = 0.900; 60.2% vs 59.6%, P = 0.988). However, there were slight differences observed in the pediatric patient group, with the 5-year OS and CSS rates being higher for the surgery group compared to the non-surgery group (86.9% vs 75.9%, P = 0.001 and 90.6% vs 84.2%, P = 0.054, respectively). The results of this cohort study indicate that age plays a crucial role in predicting survival outcomes in patients diagnosed with Head and Neck Rhabdomyosarcoma (HNRMS). The findings highlight the need for age-specific treatment strategies for HNRMS patients. While the data suggests that radiotherapy may be a viable first-line option for non-metastatic adult HNRMS patients, additional research is required to validate these trends.

Prognostic analysis and treatment utilization of different treatment strategies in elderly esophageal cancer patients with distant metastases: a SEER database analysis.

The purpose of this study was to explore which therapeutic strategy is more beneficial for elderly esophageal cancer (EC) patients with distant metastasis, the treatment utilization status and the screening of factors related to prognosis, so as to better guide the treatment of these patients. Patients in the Surveillance Epidemiology and End Results (SEER) database were divided into chemoradiotherapy (Group A), chemotherapy (Group B), radiotherapy (Group C), and no treatment (Group D) according to different treatment methods. Propensity score matching (PSM) was performed to adjust for baseline differences between the two groups. Overall survival (OS) and esophageal cancer-specific survival (ECSS) was calculated using the Kaplan-Meier method and compared using the log-rank test. A total of 7027 patients were included in this study, 5739 males (81.7%) and 1288 females (18.3%) with the median age was 70 (60-98). In the original cohort, the number of patients in the four groups was 2260 (Group A), 2087 (Group B), 945 (Group C) and 1735 (Group D), respectively. After PSM, there was no significant difference in mean OS (A vs B, 13.5months VS 13.4months, P = 0.511) and mean ECSS (A vs B, 15.6 vs 15.5months, P = 0.374), while both OS (B vs C, 7 vs 3months, P < 0.001) and ECSS (B vs C, 8 vs 3months, P < 0.001) of chemotherapy alone were significantly better than those of radiotherapy alone. Subgroup analysis of patients older than 80years showed that the median OS (A vs B, 7 vs 6months) and median ECSS (A vs B, 8 vs 7months) of Group A were significantly better than those of Group B (P < 0.05). In addition, all patients were randomly divided into a training set and a validation set with a ratio of 7:3. Based on the independent risk factors for OS, a nomogram model was constructed and validated. For elderly EC patients with distant metastasis, aggressive treatment was still necessary after a comprehensive assessment of the patient's physical condition, especially for patients over 80years old, and chemoradiotherapy maybe still the first choice. In addition, a nomogram model was constructed to intuitively and accurately evaluate the prognosis of this population.

Recent Postoperative Radiotherapy for Left-sided Breast Cancer Does Not Increase Mortality of Heart Disease in Asians or Pacific Islanders: SEER Database Analysis.

The purpose of this study was to evaluate the impact of recent radiotherapy on mortality from heart disease in Asians or Pacific islanders with breast cancer using the Surveillance, Epidemiology, and End Results (SEER) database. Asians or Pacific islanders with stage 0 or I (AJCC 6th) breast cancer between 2000 and 2015 were analyzed. The impact of radiotherapy for mortality from heart disease after treatment was evaluated by comparing patients who received radiotherapy for left-sided breast cancer, patients who received radiotherapy for right-sided breast cancer and patients who did not receive radiotherapy. In 25,684 Asians or Pacific islanders, the incidence of cardiac death was higher in patients who did not receive radiotherapy than in patients who received radiotherapy. Among patients who received external beam irradiation, the incidence of cardiac death was 2.00% for patients with left-sided breast cancer and 1.69% for patients with right-sided breast cancer, with no significant difference (chi-square test, p=0.427). In the period from 2000 to 2008, there was no significant difference between the cumulative heart-related death rates in patients who received radiotherapy and in patients who did not receive radiotherapy (Tarone-Ware test, p=0.406); however, in 2009-2015, the cumulative heart-related death rate in patients who did not receive radiotherapy was significantly higher than that in patients who received radiotherapy (log-rank test, p<0.001). Heart-related death after treatment for breast cancer is relatively rare in Asians or Pacific islanders. Since at least 2000, the cardiac impact of postoperative radiotherapy has not been significant.

Sentinel lymph node sampling versus full lymphadenectomy in endometrial cancer: a SEER database analysis

ObjectiveTo assess the long term outcomes and prognosis of sentinel lymph node sampling compared with full lymph node dissection in endometrial cancer patients.MethodsWe used the Surveillance, Epidemiology, and End Results...

Role of elective neck dissection in prognosis of N0M0 maxillary sinus squamous cell carcinoma: Insights from SEER database analysis

BackgroundThe optimal management of cervical lymph nodes in N0M0 maxillary sinus squamous cell carcinoma (MSSCC) remains a subject of debate. This study aimed to investigate the impact of elective neck dissection (END) on the prognosis of N0M0 MSSCC patients and explore potential prognostic factors. MethodsA retrospective analysis was conducted using the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching (PSM) was employed to minimize bias between the END and non-END groups. Cox regression analysis was performed to identify prognostic factors, and subgroup analyses were conducted based on patient characteristics. Furthermore, the optimal number of lymph nodes in END was determined using maximally selected test statistics. ResultsA total of 777 N0M0 MSSCC patients were included in the study. After PSM, patients who underwent END demonstrated significantly improved overall survival (OS) and cancer-specific survival (CSS) compared to those who did not undergo END (p < 0.05). Subgroup analyses revealed a favorable prognosis for patients receiving radiotherapy and END, with a hazard ratio of 0.729 (95% CI: 0.549–0.967; p = 0.029) for OS. Furthermore, patients with a lymph node count greater than 5 in END had significantly better OS and CSS compared to those with 5 or fewer lymph nodes (p = 0.013, p = 0.018, respectively). ConclusionOur findings suggest that END provides a survival benefit for N0M0 MSSCC patients. Additionally, a lymph node count greater than 5 in END is associated with improved staging accuracy and better prognosis. Prospective research is needed to validate these findings and inform clinical decision-making for N0M0 MSSCC patients.