A nomogram for overall survival of second primary cancers following upper-tract urothelial carcinoma: a SEER population-based study.

Background: With improving prognosis in upper-tract urothelial carcinoma (UTUC), an increasing number of second primary malignancies (SPMs) are being identified. However, there is limited research on SPMs following UTUC. This study aims to evaluate the risk of SPMs in UTUC patients and create a nomogram to predict their survival rates. Methods: Utilizing data from the Surveillance, Epidemiology, and End Results (SEER) database, we assessed the risk of SPMs among UTUC patients. Additionally, we developed and validated an overall survival (OS) nomogram for SPM patients post-UTUC diagnosis. Results: The prevalence of SPMs among UTUC patients was 30.23%, with solid tumors being the most prevalent type of second malignancy, constituting 95.30% of all SPMs. The overall risk of SPMs was significantly elevated across all subgroups. Univariate and multivariate Cox regression analyses identified age, race, gender, UTUC SEER historic stage, surgery, SPM site, histologic type, grade, and SEER historic stage as independent prognostic factors for SPM OS. Subsequently, we developed a nomogram for predicting SPM OS. The C-index for the training and validation sets were 0.72 [95% confidence interval (CI): 0.70-0.74] and 0.71 (95% CI: 0.67-0.75), respectively. The area under the curve (AUC) demonstrated good performance of our model in predicting the 3-year (0.73 and 0.737) and 5-year (0.723 and 0.733) OS of SPMs in both sets. Conclusions: This study represents the first comprehensive analysis of SPM incidence in UTUC patients and introduces a nomogram for predicting SPM prognosis.

Development and validation of a diagnostic and prognostic model for bone metastasis of intrahepatic cholangiocarcinoma: a population-based analysis.

Background: Bone metastasis (BM) is a common site of metastasis in patients with intrahepatic cholangiocarcinoma (ICC), significantly impacting the quality of life and prognosis of affected individuals. This investigation aimed to assess the risk of BM development in ICC patients and to prognosticate for patients with ICC-associated BM (ICCBM) through the construction of two nomograms. Methods: We conducted a retrospective analysis of data from 2,651 ICC patients, including 148 cases of BM, documented in the Surveillance, Epidemiology, and End Results (SEER) database spanning 2010 to 2017. Independent predictors for the occurrence of BM in ICC patients were identified via univariate and multivariate logistic regression analyses; simultaneously, independent prognostic indicators for ICCBM patients were ascertained through univariate and multivariate Cox regression analyses. The utility of the nomograms was evaluated through calibration curves, receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and Kaplan-Meier (KM) analysis. Results: Independent risk factors for BM in ICC included sex, tumor size, lung metastasis, brain metastasis, and intrahepatic metastasis. For ICCBM patients, independent prognostic factors comprised age, chemotherapy, and radiotherapy. The prognostic nomogram exhibited C-indexes of 0.737 [95% confidential interval (CI): 0.682-0.792] for the training cohort and 0.696 (95% CI: 0.623-0.769) for the validation cohort. Calibration curves demonstrated strong concordance between predicted outcomes and observed events. The areas under the curve (AUC) for 3-, 6-, and 12-month cancer-specific survival (CSS) were 0.853, 0.781, and 0.739, respectively, in the training cohort, and 0.794, 0.822, and 0.780 in the validation cohort. DCA illustrated significant net benefits across a broad spectrum of threshold probabilities. KM analysis revealed 1-, 2-, and 3-year CSS rates of 23.91%, 7.55%, and 2.35%, respectively, with a median CSS of 6 months, underscoring the nomograms' capacity to distinctly stratify patients according to survival risk. Conclusions: The development of these nomograms offers substantial clinical utility in forecasting BM risk among ICC patients and prognosticating for those with ICCBM, thereby facilitating the formulation of more efficacious treatment modalities.

Analysis of the ideal cutoff age as a predictor of differentiated thyroid cancer using the Surveillance, Epidemiology, and End Results database.

Background: It has been discovered that the prognosis of patients with differentiated thyroid cancer (DTC) correlates with age at initial diagnosis. However, there are disagreements over the optimal cutoff age among the numerous staging and risk stratification criteria, which make it inconsistent to predict the clinical prognosis of specific DTC patients. This study aimed to determine the optimum cutoff age for diagnosis in relation to the clinical outcomes of DTC using data from the Surveillance, Epidemiology and End Results (SEER) database. Methods: The best age cutoff value was determined by the X-tile software. The link between clinical characteristics and cancer-specific survival (CSS) was examined using univariate and multivariate Cox regression models. An additional application of the independent prognostic criteria, such as age stratifications, was applied to construct a nomogram model for predicting the chances of patient survival. Results: The most accurate diagnosis cutoff age for DTC patients was suggested to be 67 years old. The multivariate analysis, using factors determined by univariate analysis, showed that age [>67 years, hazard rate (HR) =5.049, 95% confidence interval (CI): 4.509-5.653, P<0.001], sex (female, HR =0.651, 95% CI: 0.584-0.727, P<0.001), tumor size (>20 and ≤40 mm, HR =2.296, 95% CI: 1.983-2.658, P<0.001; >40 mm, HR =4.976, 95% CI: 4.304-5.752, P<0.001), lymphadenectomy (HR =1.337, 95% CI: 1.186-1.506, P<0.001), distant metastasis (HR =12.166, 95% CI: 10.749-13.769, P<0.001) and surgical treatment (HR =0.173, 95% CI: 0.144-0.210, P<0.001) were independent factors for CSS. Patients in the high-risk group had worse survival rates, and the C-index for the CSS prediction model with age (cutoff of 67) and other independent clinicopathological variables was 0.906. Conclusions: Accordingly, the optimal cutoff age for predicting death from DTC specifically is 67 years old at the time of the initial diagnosis. It might be a more suitable factor when used in risk stratification for patients with DTC.

Impact of surgical management of upper tract urothelial cancer in octogenarians: A population-based study.

Background: Upper tract urothelial carcinoma (UTUC) is an aggressive disease with a high progression rate. The standardmanagement for this disease is nephroureterectomy. Nephron sparing nonradical surgery is an alternative therapeutic approach. In men with limited life expectancy, the potential harm of UTUC progression must be weighed against surgical morbidity and mortality, and thus, more conservative approaches may be selected. This study aims to investigate the comparative benefits of radical and conservative surgical management in patients older than 80 years with localized UTUC. Materials and methods: A search was conducted in the Surveillance, Epidemiology, and End Results database for patients older than 80 years who were diagnosed with localized (T1-2N0M0) cancer in the renal pelvis or ureter as the only malignancy from 2004 to 2015. Patients were divided into 3 therapeutic groups: no surgery, local intervention (ie, local tumor excision or segmented ureterectomy), and radical surgery (nephroureterectomy). Demographic and cancer-related parameter data were collected. Logistic regression analysis was conducted to investigate predictors for surgical treatment. Kaplan-Meier curves and Cox regression were used to analyze survival outcomes. Results: Data from 774 patients were analyzed, including 205 in the no-surgery group, 181 in the local intervention group, and 388 in the radical surgery group. Older, African American patients with T1 stage disease were less likely to receive surgical treatment. Among surgically treated patients, renal pelvic tumors, and high-grade and T2 stage disease were associated with radical resection. Surgically treated patients had a longer median overall survival (OS) than in those treated nonsurgically (13, 35, and 47 months in no-surgery, local intervention, and radical surgery groups, respectively; p < 0.001). Although surgically treated patients demonstrated higher 5-year OS (8.8% [no surgery], 23.2% [local intervention], and 23.5% [radical surgery], p < 0.001) and 5-year disease-specific survival (DSS) (41.0%[no surgery], 69.1%[local intervention], and 72.9%[radical surgery]; p < 0.001) than in those treated nonsurgically, no significant differences were found between the local intervention and radical surgery groups (p > 0.05). Based on multivariate Cox regression analysis, surgical treatments, including both nonradical and radical resection, were independently associated with improved OS and DSS after controlling for age, marital status, tumor grade, and radiation status. Conclusions: Patients older than 80 years with localized UTUC who undergo surgery demonstrate longer survival. Radical and nonradical resections seemto have similar OS and DSS outcomes. Thus, when clinically indicated in this population, a more conservative surgical approach may be reasonable.

Epidemiology, incidence, and survival of synovial sarcoma of children: a SEER database analysis.

Background: Roughly 5% to 10% of soft tissue sarcomas fall under the category of synovial sarcomas (SSs), a rare and malignant tumor originating from soft tissues with unclear differentiation, primarily affecting teenagers and young adults. The goal of this study was to assess the latest survival rates for SS of children and the risk factors affecting survival using the Surveillance, Epidemiology and End Results (SEER) database. Methods: Age, sex, race, SEER stage, surgery, radiation, chemotherapy, laterality, site of SS, and survival time were collected in the SEER database for survival and prognostic factor analysis. The overall survival curves and cancer special survival were obtained by Kaplan-Meier according to different factors. A multivariate Cox regression model and a predictive nomogram have also been constructed. Results: A total of 130 patients were enrolled in the study. In the overall survival analysis, age (P=0.01), male (P=0.04), no surgery (P<0.01), chemotherapy (P<0.01), primary tumor site in soft tissue (P=0.02), and in distant of SEER stage (P<0.01) were associated with a worse prognosis in children with SS. Multivariate analysis showed that chemotherapy and in distant of SEER stage were independent indicators of unfavorable prognosis. A similar result was released in the specialized cancer survival analysis. A nomogram was used to predict the prognosis of SS in children and a calibration curve was used to validate the nomogram prediction against the actual observed survival outcomes. Conclusions: In summary, chemotherapy, and worse SEER stage were associated with poorer overall and cancer special survivals. Nomogram was able to predict the probability of 1-, 5- and 10-year overall survivals and showed good consistency with the actual observed outcomes.

Prognostic factors and treatment strategies of limited-stage primary esophageal small-cell carcinoma-a SEER database analysis.

Background: Primary esophageal small-cell carcinoma (PESC) is a rare tumor with poor efficacy, and there is currently no standardized treatment method. Our aim is to explore the prognostic factors and possible optimal treatment modalities for limited-stage PESC. Methods: We retrospectively searched the Surveillance, Epidemiology, and End Results (SEER) database from 1975 to 2019 for data of patients with limited-stage PESC. Kaplan-Meier method was used to plot survival curves, calculate survival rates, and Log-rank was used to test the differences among survival curves. Prognostic factors were explored through univariate and multivariate Cox regression survival analyses; Cox regression survival analysis was also conducted to analyze the risk of death among treatment groups and compare the survival differences among each treatment group. The non-single treatment (ST) group was defined as the comprehensive treatment (CT) group and it was compared against the ST group. Results: A total of 186 cases of limited-stage PESC were included in the study, there were differences in survival time among different groups due to differences in age, year, median household income, and N stage (P<0.001, P=0.041, P=0.002, P=0.001). The median overall survival (mOS) of the surgical group (19 months) was longer than that of the nonsurgical group (11 months) (P=0.01). The mOS of the chemotherapy group (16 months) was longer than that of the non-chemotherapy group (4 months) (P<0.001). The mOS of the radiotherapy group (16 months) was longer than that of the non-radiotherapy group (8 months) (P<0.001). Univariate analysis showed that age ≥80 years (P=0.006), year (1997-2007) (P=0.01), year (2008-2019) (P=0.01), N2 (P=0.003), surgery (P=0.02), radiotherapy (P<0.001), and chemotherapy (P<0.001) were prognostic factors affecting overall survival (OS) in limited-stage PESC patients. Multivariate analysis showed that SEER stage (P=0.02), age (P=0.007), radiotherapy (P<0.001), surgery (P=0.006), and chemotherapy (P<0.001) were independent prognostic factors affecting OS in patients of limited-stage PESC. Prognosis was better in the non-monotherapy group than in each monotherapy group. The CT group is superior to the ST group (P<0.001). The surgery combined with chemotherapy (SC) group had the longest mOS and the highest reduced risk of death, but there was no statistical difference. Conclusions: SEER stage, age, radiotherapy, chemotherapy, and surgery were independent prognostic factors in limited-stage patients; CT outperformed ST; the SC group had the longest median survival, but showed no statistical difference.

Survival and analysis of prognostic factors for fibroblastic osteosarcoma patients: a population-based study.

Background: Osteosarcoma is the most common mesenchymal cell malignancy, 10% of which is fibroblastic osteosarcoma (FOS). Due to the low incidence of osteosarcoma, the impact of many pathological factors on survival is still unclear, especially FOS. The goal of this study was to assess the latest survival rates for FOS and the risk factors affecting survival using the Surveillance, Epidemiology, and End Results (SEER) database. Methods: Age, sex, race, SEER stage, surgery, radiation, chemotherapy, site of FOS, and survival time were collected from the SEER database for survival and prognostic factor analysis. The patients were randomly assigned to either the training cohort or the testing cohort. The overall survival (OS) curves were obtained by Kaplan-Meier according to different factors. A multivariate Cox regression model and a predictive nomogram have also been constructed. Results: The study enrolled a total of 120 patients. OS at 1, 3, and 5 years for all patients was 90.83%, 79.17%, and 70.83%, respectively. In the 5-year survival analysis, in distant of SEER stage (P<0.01), radiation (P=0.03), and no surgery (P<0.01) were associated with a worse prognosis in patients with FOS. Multivariate analysis showed that age, and in distant of SEER stage were independent indicators of unfavorable prognosis. A nomogram was used to predict the prognosis of FOS and a calibration curve was used to validate the nomogram prediction against the actual observed survival outcomes. Conclusions: In summary, older age, and worse SEER stage were associated with poorer OS. The nomogram effectively predicted the probabilities of 1-, 3-, and 5-year OS, demonstrating strong concordance with the actual observed outcomes.

Clinical characteristics and prognosis of liver metastases with unknown primary site.

Background: Liver metastases from cancer of unknown primary (CUPL) constitute a rare disease, particularly among individuals younger than 50 years old. This paper aims to investigate the clinical characteristics of patients with CUPL and analyze prognostic differences across distinct age groups. Methods: Data pertaining to patients with CUPL were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching (PSM) was employed to adjust for clinical variables. Cox regression analysis identified risk factors influencing overall survival (OS), while competing-risk analyses were conducted to determine prognostic factors for cancer-specific survival (CSS). Survival differences were compared using the Kaplan-Meier method and cumulative incidence function (CIF). Results: The study encompassed 4,691 patients, with 319 (6.8%) in the age <50 years group and 4,372 (93.2%) in the age ≥50 years group. Individuals with unexplained liver metastases exhibited a 1-year OS rate of 14.7% and a 1-year CSS rate of 23%. Following matching, age, histology, brain metastases, and chemotherapy were identified as independent prognostic factors affecting OS. Additionally, race, grade, histology, brain metastases, and chemotherapy were recognized as independent prognostic factors influencing CSS. Notably, the age <50 years group demonstrated superior OS and CSS compared to the age ≥50 years group before and after PSM. Among patients undergoing chemotherapy, the age <50 years group exhibited enhanced OS and CSS compared to their age ≥50 years counterparts. Furthermore, in individuals subjected to radiotherapy, the age <50 years group demonstrated superior OS, although no significant difference in CSS was observed. Conclusions: The survival prognosis of patients with CUPL was found to be poor. However, both OS and CSS were more favorable in the age <50 years group compared to the age ≥50 years group. Additionally, radiotherapy and chemotherapy were associated with an OS benefit for patients in the age <50 years group.

Axillary lymph node removal in de novo metastatic breast cancer.

Background: Several prospective studies have found that local surgical resection did not improve the survival of patients with de novo metastatic breast cancer (dnMBC). However, a significant portion of dnMBC patients still undergo local surgery, and the role of axillary lymph node dissection (ALND) in dnMBC patients remains unclear. This study aimed to investigate the effect of ALND in patients with dnMBC. Methods: We included patients diagnosed with dnMBC between 2010 and 2020 using the data from the Surveillance, Epidemiology, and End Results program. The Chi-square test, binomial logistic regression, propensity score matching (PSM), Kaplan-Meier method, and multivariate Cox proportional models were employed for statistical analysis. Results: A total of 6,838 patients were identified, with 5,562 (81.3%) in the ALND group and 1,276 (18.7%) in the non-ALND group. Being diagnosed in later years emerged as an independent predictive factor related to the receipt of ALND (P=0.003). Before PSM, the 5-year breast cancer-specific survival (BCSS) was 51.1% and 38.2% in those with and without ALND, respectively (P<0.001). The 5-year overall survival (OS) was 45.9% and 32.3% in those with and without ALND, respectively (P<0.001). ALND was identified as an independent prognostic factor related to better BCSS (P<0.001) and OS (P<0.001) compared to the non-ALND group. Similar findings were observed after PSM. The outcomes were significantly better in the ALND group than in the non-ALND group in most subgroups. However, the number of removed lymph nodes did not show a significant association with BCSS (P=0.27) and OS (P=0.29). Conclusions: Our study suggests that ALND is associated with improved survival outcomes in dnMBC patients. These findings advocate for a re-evaluation of the role of surgical interventions in dnMBC, emphasizing the need for personalized treatment strategies that consider the potential benefits of ALND.

Survival Outcomes and Prognostic Factors in Therapy-Related Acute Myeloid Leukemia: A SEER Database Study, 2000-2020.

INTRODUCTION: With advances in therapeutics and longer survival across different cancer spectrums, the incidence of therapy-related acute myeloid leukemia (tAML) has continued to rise. This study aims to evaluate the trend of survival outcomes and their association with sociodemographic factors in tAML over the last 20 years. METHODS: We identified tAML patients between 2000 and 2020 from the Surveillance, Epidemiology, and End Results database. Patients were divided into 4 age groups: 18-39, 40-59, 60-69, and >= 70 years, and 4 diagnostic periods: 2000-2005, 2006-2010, 2011-2015, and 2016-2020. Overall survival (OS) was compared using Kaplan Meier and log-rank methods. RESULTS: The 1-year (and 5-year) OS in patients with tAML was 59.3% (33.7%), 48.2% (24.8%), 37.2% (11.1%), and 32.9% (5.5%) in age groups 18-39, 40-59, 60-69, and >=70 years, respectively. The 1-year (and 5-year) OS based on the year of diagnosis was 20.9% (13.2%), 36.8% (15.2%), 41.9% (13.88%), and 40.4% (not reached) for 2000-2005, 2006-2010, 2011-2015, and 2016-2020 respectively. Among the youngest cohort aged 18-39 years, 1-year OS was 35.7%, 57.7%, 66.7%, and 59.6%, respectively, in 4 diagnostic periods, whereas 1-year OS was 10.5%, 23.9%, 32.2%, and 36.9%, respectively, in the oldest cohort aged >=70 years. Age, year of diagnosis, and geographic location were independent prognostic markers of OS. CONCLUSION: Our study demonstrates a significant improvement in the 1-year OS of tAML patients over the last decade, but the long-term prognosis remains dismal. Older patients continue to show improved survival in recent years with the addition of newer intensive and nonintensive options.

Identifying risk and prognostic factors for synchronous liver metastasis in small bowel adenocarcinoma: a predictive analysis using the SEER database.

Background: Small bowel adenocarcinoma (SBA) is a rare gastrointestinal malignancy with an increasing incidence and a high propensity for liver metastasis (LM). This study aimed to investigate the risk factors for synchronous LM and prognostic factors in patients with LM. Methods: Utilizing the Surveillance, Epidemiology, and End Results (SEER) database, this study analyzed data from 2,064 patients diagnosed with SBA between 2010 and 2020. Logistic regression was used to determine risk factors for synchronous LM. A nomogram was developed to predict the risk of LM in SBA patients, and its predictive performance was assessed through receiver operating characteristic (ROC) curves and calibration curves. Kaplan-Meier and Cox regression analyses were conducted to evaluate survival outcomes for SBA patients with LM. Results: Synchronous LM was present in 13.4% of SBA patients (n = 276). Six independent predictive factors for LM were identified, including tumor location, T stage, N stage, surgical intervention, retrieval of regional lymph nodes (RORLN), and chemotherapy. The nomogram demonstrated good discriminative ability, with an area under the curve (AUC) of 83.8%. Patients with LM had significantly lower survival rates than those without LM (P < 0.001). Survival analysis revealed that advanced age, tumor location in the duodenum, surgery, RORLN and chemotherapy were associated with cancer-specific survival (CSS) in patients with LM originating from SBA. Conclusions: This study highlights the significant impact of LM on the survival of SBA patients and identifies key risk factors for its occurrence. The developed nomogram aids in targeted screening and personalized treatment planning.

Risk factors for distant metastasis and prognosis of the penile cancer with distant metastasis.

Background: Penile cancer (PC) is a rare malignant tumor, whose distant metastasis (DM) is associated with the poorest outcomes. The risk factors associated with DM and prognosis of the PC with DM remain elusive. This study was aimed at investigating risk factors associated with DM and constructing prediction models of PC with DM. Methods: This study analyzed data from the Surveillance, Epidemiology, and End Results (SEER) database over a period of 2000-2020, including clinical characteristics such as age, marital status, tumor size, Tumor Node Metastasis (TNM) staging, and treatment information. Utilizing univariate and multivariate logistic regression, alongside cox regression analysis, we identified independent risk factors for DM and prognosis in the total cases and the cases with DM. Nomograms were developed for predicting DM and prognosis in PC patients. Results: Enrolling 1,488 cases, our study identified tumor size and N stage as independent predictors of DM. The predictive nomogram for DM achieved an area under the curve (AUC) of 0.904. Notably, the 1-, 3-, and 5-year cumulative survival rates for PC with DM were 35%, 17%, and 13%, respectively, with larger tumor size associated with prognosis of PC cases with DM. This study verified a correlation between advanced age and TNM stage, as well as chemotherapy with the poor PC prognosis. The nomogram yielded 0.72, 0.69 and 0.69, in predicting 1-, 3-, and 5-year overall survivals (OS), while 0.73, 0.70 and 0.69 in predicting 1-, 3-, 5-year cancer specific survivals (CSS), respectively. Conclusions: This study investigated risk factors of PC with DM. Also, nomograms for predicting DM, OS and CSS of PC patients were developed.

A novel T1a/b classification for testicular cancer: not only seminoma.

Background: The 8th edition of the American Joint Committee on Cancer (AJCC) manual divides T1 stage testicular cancer into T1a and T1b, but it is only applicable to seminoma. The purpose of this observational study is to discuss further the possibility of extending this classification system to any T1 testicular cancer. Methods: Testicular cancer patients from 2000 to 2018 in the Surveillance, Epidemiology, and End Results (SEER) database were included in this analysis. After patient selection, univariate and multivariate Cox regression were used to evaluate the impact of tumor size on survival in patients with T1 testicular cancer. A time-dependent receiver operation curve (ROC) was used to determine the best tumor size cut-off value for further T1 subgroup classification. Restricted cubic splines (RCS) analysis was used to compare different tumor sizes with the best tumor size cut-off value. Propensity score matching (PSM) analysis was conducted to generate baseline balanced data to validate findings. Results: A total of 6,630 patients were included in this study. In the Cox regression model, we found that T1b staged tumor (>34 mm) was an independent risk factor of overall survival [OS, adjusted hazard ratio (HR): 1.57, 95% confidence interval (CI): 1.12-2.21] and cancer-specific survival (CSS, adjusted HR: 5.027, 95% CI: 1.95-12.93). Further PSM analysis consolidated our results. Conclusions: For any T1 testicular cancer, a tumor size of 34 mm could be used as the demarcation point to assess the prognosis. Adopting personalized treatments and follow-up plans may help improve the OS and CSS rate for testicular cancer patients.

High cardiovascular mortality risk among older merkel cell carcinoma patients.

OBJECTIVE: Previous research has primarily focused on the incidence and mortality rates of Merkel cell carcinoma (MCC), neglecting the examination of cardiovascular mortality (CVM) risk among survivors, particularly older patients. This study aims to assess the risk of CVM in older individuals diagnosed with MCC. METHODS: Data pertaining to older MCC patients were obtained from the Surveillance, Epidemiology, and End Results database (SEER). CVM risk was measured using standardized mortality ratio (SMR) and cumulative mortality. Multivariate Fine-Gray's competing risk model was utilized to evaluate the risk factors contributing to CVM. RESULTS: Among the study population of 2,899 MCC patients, 465 (16.0%) experienced CVM during the follow-up period. With the prolongation of the follow-up duration, the cumulative mortality rate for CVM reached 27.36%, indicating that cardiovascular disease (CVD) became the second most common cause of death. MCC patients exhibited a higher CVM risk compared to the general population (SMR: 1.69; 95% CI: 1.54-1.86, p < 0.05). Notably, the SMR for other diseases of arteries, arterioles, and capillaries displayed the most significant elevation (SMR: 2.69; 95% CI: 1.16-5.29, p < 0.05). Furthermore, age at diagnosis and disease stage were identified as primary risk factors for CVM, whereas undergoing chemotherapy or radiation demonstrated a protective effect. CONCLUSION: This study emphasizes the significance of CVM as a competing cause of death in older individuals with MCC. MCC patients face a heightened risk of CVM compared to the general population. It is crucial to prioritize cardiovascular health starting from the time of diagnosis and implement personalized CVD monitoring and supportive interventions for MCC patients at high risk. These measures are essential for enhancing survival outcomes.

Prognostic Impact of Neoadjuvant Chemotherapy in Localized or Locoregionally Advanced Gallbladder Cancer: A Population-Based and Propensity Score Matched SEER Analysis.

BACKGROUND: The effect of neoadjuvant chemotherapy (NACT) in gallbladder cancer (GBC) patients remains controversial. The aim of this study was to assess the impact of NACT on overall survival (OS) and cancer specific survival (CSS) in patients with localized or locoregionally advanced GBC, and to explore possible protective predictors for prognosis. METHODS: Data for patients with localized or locoregionally advanced GBC (i.e., categories cTx-cT4, cN0-2, and cM0) from 2004 to 2020 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. Patients in the NACT and non-NACT groups were propensity score matched (PSM) 1:3, and the Kaplan-Meier method and log-rank test were performed to analyze the impact of NACT on OS and CSS. Univariable and multivariable Cox regression models were applied to identify the possible prognostic factors. Subgroup analysis was conducted to identify patients who would benefit from NACT. RESULTS: Of the 2676 cases included, 78 NACT and 234 non-NACT patients remained after PSM. In localized or locoregionally advanced GBC patients, the median OS of the NACT and non-NACT was 31 and 16 months (log-rank P < 0.01), and the median CSS of NACT and non-NACT was 32 and 17 months (log-rank P < 0.01), respectively. Longer median OS (31 vs 17 months, log-rank P < 0.01) and CSS (32 vs 20 months, log-rank P < 0.01) was associated with NACT compared with surgery alone. Multivariable Cox regression analysis showed that NACT, stage, and surgery type were prognostic factors for OS and CSS in GBC patients. Subgroup analysis revealed that the survival hazard ratios (HRs) of NACT vs non-NACT for localized or locoregionally advanced GBC patients were significant in most subgroups. CONCLUSIONS: NACT may provide therapeutic benefits for localized or locoregionally advanced GBC patients, especially for those with advanced stage, node-positive, poorly differentiated or undifferentiated disease. NACT combined with radical surgery was associated with a survival advantage. Therefore, NACT combined with surgery may provide a better treatment option for resectable GBC patients.

Improved survival of patients with stage III small-cell lung cancer with primary resection: A SEER-based analysis.

INTRODUCTION: Small cell lung cancer (SCLC) is mostly diagnosed in stage III-IV patients and associated with poor prognosis. To date, surgery is no gold-standard treatment for any SCLC stage and evidence is lacking whether it is beneficial. Here we investigate the impact of surgery, with special attention to stage III SCLC patients, sub-stages and treatment combinations. METHODS: The overall survival (OS) and cancer-specific survival (CSS) of 33,198 SCLC patients (SEER database) were analyzed retrospectively, using various statistical analyses, including propensity score matching (PSM), recursive partitioning, and sequential landmark analyses. RESULTS: Independent of stage, the OS of patients with surgery-including treatments was almost always better than without surgery. This holds true for stage I-II patients, even after PMS analysis (p < 0.017). The same was found for stage IV patients that underwent surgery plus chemotherapy vs. chemotherapy alone (p = 0.013 after PSM). Stage III patients showed a robust improvement in OS and CSS after surgery (OS: 18 vs.13 months) or surgery plus chemotherapy (OS: 20 vs.15 months) as confirmed by well-balanced PSM and sequential landmark analyses of long-term survivors. More detailed analyses using two independent approaches showed prolonged OS in T3-4/N0-1 and T1-2/N2 stage III patients after surgery or surgery plus chemotherapy. Importantly, primary site surgery had a major survival advantage over surgery at regional sites (p < 0.003). CONCLUSION: Our study demonstrates that selected patients of all stages, including stage III T3-4/N0-1 and T1-2/N2, can benefit greatly from surgery-including treatments. Thus, surgery should be included into hospital treatment recommendations for specifically selected SCLC patients. Condensed abstract Primary resection in patients with stage III SCLC needs re-evaluation. Selected patients with stage III SCLC benefit significantly from surgery. Patients with T3-4/N0-1 and T1-2/N2 stage III SCLC should be considered for surgery.

Epidemiology and prognostic nomogram for invasive breast cancer aged 85 years and older in the USA.

The available data on epidemiology and prognostic factors of female patients with breast cancer aged 85 years and older in the USA are limited, especially regarding molecular-level heterogeneity. Relevant data were extracted from the surveillance, epidemiology, and end-result database. The incidence rate and the annual prevalence rate were determined. The annual percent change (APC) of incidence was measured to determine the gradual trends or changes in rates. A visual nomogram was constructed to predict the 3-year overall survival (OS). The Kaplan-Meier method and log-rank test were performed for survival analysis. In total, 18,137 female patients with invasive breast cancer aged 85 years and older were included. Among these patients, patients with HR+/HER2- accounted for 68.7%, followed by HR-/HER2- (9.3%), HR+/HER2+ (7.4%), and HR-/HER2+ (3.1%). The overall incidence rate among this population was 181.82 (95% CI 179.18-184.49) per 100,000 women. This decreased from 184.73 to 177.71 per 100,000 women from 2010 to 2019, with an APC of - 1.0 (95% CI - 1.8 to - 0.1, P = 0.036). The incidence rate varied across receptor subtypes and races and was higher in patients with HR+/HER2- or the black population. The most common treatment regime was breast-conserving surgery. Approximately 29.2% of all patients were categorized as receiving no treatment. A nomogram for predicting 3-year overall survival was constructed, with a consistency index of 0.71. Furthermore, the calibration curves showed consistency. In this study, we have presented the epidemiological data of invasive breast cancer in females aged 85 years and older in the USA. The developed predictive nomogram can effectively identify patients with poor survival.

Risk Factors and Predictive Nomogram for Survival in Elderly Patients with Brain Glioma.

OBJECTIVE: To determine the factors that contribute to the survival of elderly individuals diagnosed with brain glioma and develop a prognostic nomogram. METHODS: Data from elderly individuals (age ≥65 years) histologically diagnosed with brain glioma were sourced from the Surveillance, Epidemiology, and End Results (SEER) database. The dataset was randomly divided into a training cohort and an internal validation cohort at a 6:4 ratio. Additionally, data obtained from Tangdu Hospital constituted an external validation cohort for the study. The identification of independent prognostic factors was achieved through the least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis, enabling the construction of a nomogram. Model performance was evaluated using C-index, ROC curves, calibration plot and decision curve analysis (DCA). RESULTS: A cohort of 20 483 elderly glioma patients was selected from the SEER database. Five prognostic factors (age, marital status, histological type, stage, and treatment) were found to significantly impact overall survival (OS) and cancer-specific survival (CSS), with tumor location emerging as a sixth variable independently linked to CSS. Subsequently, nomogram models were developed to predict the probabilities of survival at 6, 12, and 24 months. The assessment findings from the validation queue indicate a that the model exhibited strong performance. CONCLUSION: Our nomograms serve as valuable prognostic tools for assessing the survival probability of elderly glioma patients. They can potentially assist in risk stratification and clinical decision-making.

Trends by race and ethnicity in incidence and mortality of acral lentiginous melanoma: analysis of Surveillance, Epidemiology, and End Results 2000-2020.

Limited data describe the epidemiology and risk factors of acral lentiginous melanoma (ALM). In this retrospective analysis, we examined trends in incidence and mortality of ALM among racial and ethnic minoritized populations. We queried 22 Surveillance, Epidemiology, and End Results registries for cases of ALM among Hispanics, non-Hispanic Asians or Pacific Islanders (NHAPIs), non-Hispanic Blacks (NHBs), and non-Hispanic Whites (NHWs) from 2000 through 2020. Age-adjusted incidence and annual percentage changes (APCs) were estimated. Kaplan-Meier curves were stratified by race and ethnicity and compared with log-rank tests. Cox proportional hazard regression models were adjusted for age, sex, race, ethnicity, income, urban-rural residence, stage, and treatment. Of 4188 total cases of ALM with complete data, our study cohort was comprised of 792 (18.9%) Hispanics, 274 (6.5%) NHAPIs, 336 (8.0%) NHBs, and 2786 (66.5%) NHWs. The age-adjusted incidence of ALM increased by 2.48% (P < 0.0001) annually from 2000 to 2020, which was driven by rising rates among Hispanics (APC 2.34%, P = 0.001) and NHWs (APC 2.69%, P < 0.0001). Incidence remained stable among NHBs (APC 1.15%, P = 0.1) and NHAPIs (APC 1.12%, P = 0.4). From 2000 through 2020, 765 (18.3%) patients died from ALM. Compared to NHWs, Hispanics, NHAPIs, and NHBs had significantly increased ALM-specific mortality (all P < 0.0001). Unadjusted and adjusted cause-specific mortality modeling revealed significantly elevated risk of ALM-specific mortality among Hispanics (hazard ratio [HR] 1.46, 95% confidence interval [CI] 1.22-1.75; adjusted hazard ratio [aHR] 1.38, 95% CI 1.14-1.66), NHAPIs (HR 1.80, 95% CI 1.41-2.32; aHR 1.58, 95% CI 1.23-2.04), and NHBs (HR 1.98, 95% CI 1.59-2.47; aHR 2.19, 95% CI 1.74-2.76) (all P < 0.001). Our study finds rising incidence of ALM among Hispanics and NHWs along with elevated risk of ALM-specific mortality among racial and ethnic minoritized populations. Future strategies to mitigate health inequities in ALM are warranted.