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.

Recommendations for broadening eligibility criteria in esophagus cancer clinical trials: the mortality disparity of esophagus cancer as a first or second primary malignancy.

Background: Esophagus cancer as a second primary malignancy (esophagus-2) is increasingly common, but its prognosis is poorly understood. This study aims to examine the overall, non-cancer related and cancer-specific survival of patients diagnosed with esophagus-2 compared to the first primary esophagus cancer (esophagus-1). Methods: We included primary esophagus cancer patients diagnosed from 1975 to 2019 in the Surveillance, Epidemiology, and End Results program. Esophagus-2 was identified in patients with a previous diagnosis of non-esophageal primary malignancy. Hazard ratios of overall, esophagus cancer-specific and non-cancer related mortality were estimated among patients with esophagus-2 compared to esophagus-1, adjusting for age, gender, tumor stage and other demographic and clinical characteristics. Results: A total of 74,521 and 14,820 patients were identified as esophagus-1 and esophagus-2 respectively. Esophagus-2 patients suffered lower risk of esophagus cancer-specific mortality in initial 5 years but with similar risk thereafter, independent of tumor characteristics and treatment. In the first 5 years after diagnosis, patients with esophagus-2 had similar risk of overall mortality with those with esophagus-1 but increased risk thereafter. As for non-cancer related mortality, esophagus-2 patients had higher risk all along. Conclusions: Esophagus-2 patients should not be entirely excluded from clinical trial and a 3-year exclusion window is suggested. A conservative approach to manage esophagus-2 solely based on malignancy history is not supported but effort should be put into surveillance, prevention and management of the comorbidities and complications for the first malignancy.

Analysis of cancer-specific survival in patients with metastatic colorectal cancer: A evidence-based medicine study.

BACKGROUND: Metastatic colorectal cancer (mCRC) is a common malignancy whose treatment has been a clinical challenge. Cancer-specific survival (CSS) plays a crucial role in assessing patient prognosis and treatment outcomes. However, there is still limited research on the factors affecting CSS in mCRC patients and their correlation. AIM: To predict CSS, we developed a new nomogram model and risk grading system to classify risk levels in patients with mCRC. METHODS: Data were extracted from the United States Surveillance, Epidemiology, and End Results database from 2018 to 2023. All eligible patients were randomly divided into a training cohort and a validation cohort. The Cox proportional hazards model was used to investigate the independent risk factors for CSS. A new nomogram model was developed to predict CSS and was evaluated through internal and external validation. RESULTS: A multivariate Cox proportional risk model was used to identify independent risk factors for CSS. Then, new CSS columns were developed based on these factors. The consistency index (C-index) of the histogram was 0.718 (95%CI: 0.712-0.725), and that of the validation cohort was 0.722 (95%CI: 0.711-0.732), indicating good discrimination ability and better performance than tumor-node-metastasis staging (C-index: 0.712-0.732). For the training set, 0.533, 95%CI: 0.525-0.540; for the verification set, 0.524, 95%CI: 0.513-0.535. The calibration map and clinical decision curve showed good agreement and good potential clinical validity. The risk grading system divided all patients into three groups, and the Kaplan-Meier curve showed good stratification and differentiation of CSS between different groups. The median CSS times in the low-risk, medium-risk, and high-risk groups were 36 months (95%CI: 34.987-37.013), 18 months (95%CI: 17.273-18.727), and 5 months (95%CI: 4.503-5.497), respectively. CONCLUSION: Our study developed a new nomogram model to predict CSS in patients with synchronous mCRC. In addition, the risk-grading system helps to accurately assess patient prognosis and guide treatment.

Clinical features and prognostic factors of patients with inoperable hepatocellular carcinoma treated with chemotherapy: a population-based study.

Background: In inoperable hepatocellular carcinoma (HCC), chemotherapy is a common treatment strategy. However, there is a lack of reliable methods to predict the prognosis of patients with inoperable HCC after chemotherapy. Therefore, the aim of this study was to identify the clinical characteristics of patients with inoperable HCC and to establish and validate nomogram models for predicting the survival outcomes in this patient group following chemotherapy. Methods: The data of patients diagnosed with HCC from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively collected. Logistic regression analyses were used to identify potential factors for inoperability in patients with HCC. Kaplan-Meier analyses were applied to evaluate the impact of chemotherapy on prognosis. Additionally, Cox regression analyses were performed to identify the potential risk factors associated with overall survival (OS) and cancer-specific survival (CSS) in patients with inoperable HCC treated with chemotherapy. Finally, we constructed prognostic nomograms for predicting the 1- and 3-year survival probabilities. Results: A total of 3,519 operable patients with HCC and 4,656 patients with inoperable HCC were ultimately included in this study. Logistic regression analyses revealed a significant association between patient age, gender, race, tumor, node, metastasis (TNM) stage, tumor size, pretreatment alpha fetoprotein (AFP) levels, and marital status with inoperability. Moreover, Kaplan-Meier analyses revealed a significant improvement in both OS and CSS with the administration of chemotherapy. Moreover, 1,456 patients with inoperable HCC were enrolled in the training group and 631 patients with inoperable HCC were enrolled in the validation group to develop and validate the prognostic models. Cox regression models indicated that TNM stage, tumor size, and pretreatment AFP were independent risk factors for predicting OS and CSS in patients with inoperable HCC receiving chemotherapy. These factors were subsequently integrated into the predictive nomograms. Conclusions: We preliminarily developed survival models with strong predictive capabilities for estimating survival probabilities in patients with HCC following chemotherapy. These models hold potential for clinical application and warrant further exploration through additional studies.

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.

Laryngeal cancer incidence trends in the United States over 2000-2020: a population-based analysis.

INTRODUCTION: Laryngeal cancers account for one-third of all head and neck cancers. We aimed to report the incidence trends of laryngeal cancer over 2000-2020 in the United States (US), by age, sex, race/ethnicity, and histological subtypes. METHODS: Data from the Surveillance, Epidemiology, and End Results 22 database were used to identify patients with laryngeal cancer based on the International Classification of Diseases for Oncology, version 3. Age-standardized incidence rates (ASIRs) for laryngeal cancer, adjusted for reporting delays, were calculated. The Joinpoint Regression Program was then utilized to determine annual percent changes (APCs) and average annual percent changes (AAPCs) in the trends. The analysis excluded data from 2020 to prevent potential bias related to the COVID-19 pandemic. RESULTS: A total of 104,991 cases of laryngeal cancer were identified in the US from 2000 to 2019. Squamous cell carcinoma was the predominant subtype, accounting for 94.53% of cases. Above 73.20% occurred among non-Hispanic whites, with the highest incidence observed among individuals aged 55-69 years (46.71%). The ASIRs were 5.98 and 1.25 per 100,000 population for men and women, respectively. Over 2000-2019, there was a significant reduction in ASIRs for laryngeal cancer in both sexes. Non-Hispanic black men exhibited the highest ASIR (9.13 per 100,000) and the largest decline in the ASIRs over 2000-2019 (AAPC: -3.26%). CONCLUSIONS: Laryngeal cancer incidence rates showed a decline from 2000 to 2019, in addition to 2020, during the COVID-19 pandemic. Additional research is required to investigate risk factors and their influence on incidence rates of laryngeal cancer.

Survival after thermal ablation versus wedge resection for stage I non-small cell lung cancer < 1 cm and 1 to 2 cm: evidence from the US SEER database.

BACKGROUND: This study compared the survival outcomes after thermal ablation versus wedge resection in patients with stage I non-small cell lung cancer (NSCLC) ≤ 2 cm. METHODS: Data from the United States (US) National Cancer Institute Surveillance Epidemiology and End Results (SEER) database from 2004 to 2019 were retrospectively analyzed. Patients with stage I NSCLC and lesions ≤ 2 cm who received thermal ablation or wedge resection were included. Patients who received chemotherapy or radiotherapy were excluded. Propensity-score matching (PSM) was applied to balance the baseline characteristics between patients who underwent the two procedures. RESULTS: Univariate and Cox regression analyses were performed to determine the associations between study variables, overall survival (OS), and cancer-specific survival (CSS). After PSM, 328 patients remained for analysis. Multivariable Cox regression analysis revealed, compared to wedge resection, thermal ablation was significantly associated with a greater risk of poor OS (adjusted HR [aHR]: 1.34, 95% CI: 1.09-1.63, p = 0.004) but not CSS (aHR: 1.28, 95% CI: 0.96-1.71, p = 0.094). In stratified analyses, no significant differences were observed with respect to OS and CSS between the two procedures regardless of histology and grade. In patients with tumor size 1 to 2 cm, compared to wedge resection, thermal ablation was significantly associated with a higher risk of poor OS (aHR: 1.35, 95% CI: 1.10-1.66, p = 0.004). In contrast, no significant difference was found on OS and CSS between thermal ablation and wedge resection among those with tumor size < 1 cm. CONCLUSIONS: In patients with stage I NSCLC and tumor size < 1 cm, thermal ablation has similar OS and CSS with wedge resection.

Impact of lymph node retrieval on prognosis in elderly and non-elderly patients with T3-4/N+ rectal cancer following neoadjuvant therapy: a retrospective cohort study.

PURPOSE: The optimal number of lymph nodes to be resected in patients with rectal cancer who undergo radical surgery after neoadjuvant therapy remains controversial. This study evaluated the prognostic variances between elderly and non-elderly patients and determined the ideal number of lymph nodes to be removed in these patients. METHODS: The Surveillance, Epidemiology, and End Results (SEER) datasets were used to gather information on 7894 patients diagnosed with stage T3-4/N+ rectal cancer who underwent neoadjuvant therapy from 2010 to 2019. Of these patients, 2787 were elderly and 5107 were non-elderly. A total of 152 patients from the Longyan First Affiliated Hospital of Fujian Medical University were used for external validation. Overall survival (OS) and cancer-specific survival (CSS) were evaluated to determine the optimal quantity of lymph nodes for surgical resection. RESULTS: The study found significant differences in OS and CSS between elderly and non-elderly patients, both before and after adjustment for confounders (P < 0.001). The removal of 14 lymph nodes may be considered a benchmark for patients with stage T3-4/N+ rectal cancer who undergo radical surgery following neoadjuvant therapy, as this number provides a more accurate foundation for the personalized treatment of rectal cancer. External data validated the differences in OS and CSS and supported the 14 lymph nodes as a new benchmark in these patients. CONCLUSION: For patients with T3-4/N+ stage rectal cancer who undergo radical surgery following neoadjuvant therapy, the removal of 14 lymph nodes serves as a cutoff point that distinctly separates patients with a favorable prognosis from those with an unfavorable one.

The Long-Term Results of Proximal Gastrectomy for Proximal Gastric Cancer: A Propensity Score Matching Analysis Based on SEER Database.

BACKGROUND: Proximal gastrectomy (PG) is one of function-preserving gastrectomy (FPG). In this study, we compared the long-term results of proximal gastric cancer (PGC) patients undergoing proximal gastrectomy and total gastrectomy (TG). METHOD: Patients diagnosed with PGC and receiving PG or TG between 2004 and 2020 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching (PSM) was applied to minimize confounding factors. Kaplan-Meier analysis and log-rank test were used to compare overall survival (OS) and cancer-specific survival (CSS) between the PG and TG groups. Univariate and multivariate Cox regression analyses were performed to identify independent risk factors affecting OS. RESULT: A total of 3916 patients were recruited according to the inclusion and exclusion criteria, with 2614 undergoing PG and 1302 undergoing TG. After 1:1 PSM matching, 912 pairs of data were included for analysis. Before PSM matching, PG group tended to have better OS and CSS outcomes. However, after PSM matching, both surgical approaches showed similar long-term results. CONCLUSION: PG for PGC yields comparable long-term outcomes to TG and demonstrates safety in terms of oncologic outcomes.

Cost-of-care discussions for individuals with advanced non-small cell lung cancer and melanoma: Findings from a large, population-based pilot study.

BACKGROUND: Costs of cancer care can result in patient financial hardship; many professional organizations recommend provider discussions about treatment costs as part of high-quality care. In this pilot study, the authors examined patient-provider cost discussions documented in the medical records of individuals who were diagnosed with advanced non-small cell lung cancer (NSCLC) and melanoma-cancers with recently approved, high-cost treatment options. METHODS: Individuals who were newly diagnosed in 2017-2018 with stage III/IV NSCLC (n = 1767) and in 2018 with stage III/IV melanoma (n = 689) from 12 Surveillance, Epidemiology, and End Results regions were randomly selected for the National Cancer Institute Patterns of Care Study. Documentation of cost discussions was abstracted from the medical record. The authors examined patient, treatment, and hospital factors associated with cost discussions in multivariable logistic regression analyses. RESULTS: Cost discussions were documented in the medical records of 20.3% of patients with NSCLC and in 24.0% of those with melanoma. In adjusted analyses, privately insured (vs. publicly insured) patients were less likely to have documented cost discussions (odds ratio [OR], 0.54; 95% confidence interval [CI], 0.37-0.80). Patients who did not receive systemic therapy or did not receive any cancer-directed treatment were less likely to have documented cost discussions than those who did receive systemic therapy (OR, 0.39 [95% CI, 0.19-0.81] and 0.46 [95% CI, 0.30-0.70], respectively), as were patients who were treated at hospitals without residency programs (OR, 0.64; 95% CI, 0.42-0.98). CONCLUSIONS: Cost discussions were infrequently documented in the medical records of patients who were diagnosed with advanced NSCLC and melanoma, which may hinder identifying patient needs and tracking outcomes of associated referrals. Efforts to increase cost-of-care discussions and relevant referrals, as well as their documentation, are warranted.

Survival Benefits of Postoperative Chemotherapy in Patients With Colorectal Mucinous Adenocarcinoma: An Analysis Utilizing Propensity Score Matching From the Surveillance, Epidemiology, and End Results Database.

OBJECTIVE: This study aimed to investigate the characteristics of patients with colorectal mucinous adenocarcinoma (MAC) who benefit from postoperative chemotherapy (POCT) and to develop effective postoperative survival nomograms for predicting overall survival (OS) in colorectal MAC patients. METHODS: Data of colorectal MAC patients who underwent surgery from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2020 were collected. Patients were grouped based on POCT, and intergroup analysis was performed using 1:1 propensity score matching (PSM). Kaplan-Meier (K-M) curves were used to compare the prognosis between the 2 groups. Cox analysis was employed to identify factors associated with OS in patients with colorectal MAC who underwent POCT. The variance inflation factor (VIF) and bilateral stepwise regression were used to determine factors included in the model. Additionally, a nomogram was constructed to predict postoperative survival outcomes for patients. The discriminative ability of the nomograms was evaluated using the C-index and calibration curve analysis, the decision curve analysis (DCA) assessed the clinical utility of the nomogram, and the receiver operating characteristic (ROC) curve evaluated the nomograms' performance. RESULTS: This study encompassed 6829 patients with colorectal MAC, among whom 2258 received POCT, and 4571 did not. Whether pre or post PSM, patients in the POCT group consistently exhibited a superior median OS compared to those in the postoperative non-chemotherapy group (P < .0001). For colorectal MAC patients undergoing POCT, OS was correlated with factors such as patient age, carcinoembryonic antigen levels, tumor deposits, perineural invasion (PNI), lymph node examination count, T staging, and Grade staging. Notably, a significant chemotherapy advantage was observed in patients without perineural invasion, those with lymph node examination counts exceeding 12, and patients with moderately differentiated tumors. The overall colorectal MAC patient postoperative OS predictive nomogram demonstrated a C-index of .74, with a calibration curve near the diagonal and a DCA curve indicating positive net benefits. In comparison to TNM staging, the ROC curves of the nomogram at 1 year, 3 years, and 5 years demonstrated superior predictive capabilities (AUC: .80 vs .71, .78 vs .71, .77 vs .70). CONCLUSION: This study revealed the characteristics of colorectal MAC patients who benefit from POCT and established effective prognostic nomograms, which can aid clinicians in designing personalized treatment plans for individual patients and promote precision medicine.

The prognostic value of lymph node dissection in patients with parathyroid carcinoma.

Background: Surgery is the only curative treatment strategy for parathyroid carcinoma (PC). However, the optimal extent of surgery remains uncertain, particularly regarding whether routine central lymph node dissection (LND) confers a survival advantage to patients with PC. This study aimed to evaluate the prognostic value of LND in PC patients. Methods: Patients diagnosed with PC between 2004 and 2018 were identified in the Surveillance, Epidemiology, and End Results (SEER)-18 registries. With inclusion and exclusion criteria, a total of 338 patients were included as cohort 1 to describe the characteristics of PC, while 215 patients were selected as cohort 2 to assess the effect of LND on cancer-specific survival (CSS). Univariate and multivariate Cox proportional hazards regression models were used to identify independent risk factors associated with CSS. Propensity score matching (PSM) was performed to adjust for potential confounding variables. The prognostic value of LND was further analyzed in subgroups stratified by predictors associated with CSS. Results: The 5- and 10-year CSS were 94.4% and 87.9% respectively in cohort 1. LND failed to significantly improve CSS in the entire cohort 2 and the PSM cohort 2. Large tumor size (>40 mm) and distant metastasis were independently associated with poor CSS. Subgroup analyses revealed that LND was not significantly associated with improved CSS in patients with aggressive PC, such as those with a tumor size greater than 40 mm. Unexpectedly, LND may compromise CSS in patients with distant disease (P=0.03). Conclusions: PC is a rare and indolent endocrine malignancy. The presence of large tumors and distant metastases are independent predictors of poor CSS. Routine central LND as part of initial surgery does not significantly improve CSS in PC patients, even for those with large tumors, lymph node metastasis, or distant disease.

Predictors for Lymph Node Metastasis and Survival of Patients with T1b Esophageal Adenocarcinoma Treated with Surgery and Endoscopic Therapy: An Analysis of Surveillance, Epidemiology, and End Results Database.

BACKGROUND AND AIMS: Limited data exists regarding the long-term outcomes of endoscopic therapy (ET) with or without chemoradiation therapy (CRT) for T1b esophageal adenocarcinoma (EAC). Our aim was to identify the risk factors for lymph node metastasis (LNM) in T1b EAC and assess how the chosen treatment modality affects overall survival (OS) and cancer-specific survival (CSS). METHODS: We analyzed histologically confirmed T1b EAC patients diagnosed between 2004 and 2018 using Surveillance Epidemiology and End Results database. Focusing on T1bN0M0 staging, we divided the patients into two groups: ET (n=174) and surgery (n=769), and calculated OS and CSS rates. RESULTS: Out of 1418 patients with T1b EAC, 228 cases (16.1%) exhibited LNM at diagnosis. Notable risk factors for LNM included poorly differentiated tumor and lesion size ≥20 mm. For T1bN0M0 cases, ET was commonly performed from 2009 to 2018 (OR 4.3), especially for patients aged ≥ 65 years (OR 3.1) with tumor size <20mm (OR 2.3). During 50 months median follow-up, age ≥ 65 years (HR 1.9), ET (HR 1.5), and CRT (HR 1.4) were associated with poorer OS. Factors linked to decreased CSS were age ≥ 65 years (sub hazard ratio (SHR) 1.6), poorly differentiated tumors (SHR 1.5), and CRT (SHR 1.5). CONCLUSION: In T1b EAC, tumor size ≥20mm and poor differentiation are notable risk factors for LNM. ET showed comparable CSS outcomes to surgery for carefully selected T1bN0M0 lesions. CRT did not provide additional survival benefit for these lesions; however, large scale studies are required to validate this finding.

Prognostic nomogram to predict cancer-specific survival with small-cell carcinoma of the prostate: a multi-institutional study.

Objective: The aim of this study is to examine the predictive factors for cancer-specific survival (CSS) in patients diagnosed with Small-Cell Carcinoma of the Prostate (SCCP) and to construct a prognostic model. Methods: Cases were selected using the Surveillance, Epidemiology, and End Results (SEER) database. The Kaplan-Meier method was utilized to calculate survival rates, while Lasso and Cox regression were employed to analyze prognostic factors. An independent prognostic factor-based nomogram was created to forecast CSS at 12 and 24 months. The model's predictive efficacy was assessed using the consistency index (C-index), calibration curve, and decision curve analysis (DCA) in separate tests. Results: Following the analysis of Cox and Lasso regression, age, race, Summary stage, and chemotherapy were determined to be significant risk factors (P < 0.05). In the group of participants who received training, the rate of 12-month CSS was 44.6%, the rate of 24-month CSS was 25.5%, and the median time for CSS was 10.5 months. The C-index for the training cohort was 0.7688 ± 0.024. As for the validation cohort, it was 0.661 ± 0.041. According to the nomogram, CSS was accurately predicted and demonstrated consistent and satisfactory predictive performance at both 12 months (87.3% compared to 71.2%) and 24 months (80.4% compared to 71.7%). As shown in the external validation calibration plot, the AUC for 12- and 24-month is 64.6% vs. 56.9% and 87.0% vs. 70.7%, respectively. Based on the calibration plot of the CSS nomogram at both the 12-month and 24-month marks, it can be observed that both the actual values and the nomogram predictions indicate a predominantly stable CSS. When compared to the AJCC staging system, DCA demonstrated a higher level of accuracy in predicting CSS through the use of a nomogram. Conclusion: Clinical prognostic factors can be utilized with nomograms to forecast CSS in Small-Cell Carcinoma of the Prostate (SCCP).

Natural History and Prognostic Model of Untreated Papillary Thyroid Cancer: A SEER Database Analysis.

PURPOSE: This investigation leveraged the SEER database to delve into the progression patterns of PTC when left untreated. Furthermore, it aimed to devise and authenticate a nomogram for prognosis prediction for such patients. METHODS: We extracted data from the SEER database, focusing on PTC-diagnosed individuals from 2004-2020. To discern disease progression intervals, median survival times across stages were gauged, and the disease progression time was estimated by subtracting the median survival time of a more severe stage from its preceding stage. Prognostic determinants in the training set were pinpointed using both univariate and multivariate Cox regression. Using these determinants, a prognostic nomogram was crafted. RESULTS: In untreated PTC patients, those in stages I and II had a favorable prognosis, with 10-year overall survival rates of 86.34% and 66.03%, respectively. Patients in stages III and IV had a relatively poorer prognosis. The median survival time of stage III, stage IVA, stage IVB and stage IVC patients was 108months, 43 months, 20 months and 8 months, respectively. The deduced progression intervals from stages III-IVC were 65, 23, and 12 months. In the training set, age, tumor stage, gender, and marital status were identified as independent risk factors influencing the prognosis of untreated PTC, and a nomogram was constructed using these variables. CONCLUSION: In the absence of treatment intervention, early-stage PTC progressed slowly with an overall favorable prognosis. However, in mid to advanced-stage PTC, as tumor stage increased, disease progression accelerated, and prognosis gradually worsened. Age, tumor stage, marital status, and gender were independent risk factors influencing the prognosis of untreated PTC, and the nomogram based on these factors demonstrated good prognostic capability.

PurposeThis investigation leveraged the SEER database to delve into the progression patterns of PTC when left untreated. Furthermore, it aimed to devise and authenticate a nomogram for prognosis prediction for such patients.MethodsWe extracted data from the SEER database, focusing on PTC-diagnosed individuals from 2004-2020. To discern disease progression intervals, median survival times across stages were gauged, and the disease progression time was estimated by subtracting the median survival time of a more severe stage from its preceding stage. Prognostic determinants in the training set were pinpointed using both univariate and multivariate Cox regression. Using these determinants, a prognostic nomogram was crafted.ResultsIn untreated PTC patients, those in stages I and II had a favorable prognosis, with ten-year overall survival rates of 86.34% and 66.03%, respectively. Patients in stages III and IV had a relatively poorer prognosis. The median survival time of stage III, stage IVA, stage IVB and stage IVC patients was 108months, 43 months, 20 months and 8 months, respectively. The deduced progression intervals from stages III-IVC were 65, 23, and 12 months. In the training set, age, tumor stage, gender, and marital status were identified as independent risk factors influencing the prognosis of untreated PTC, and a nomogram was constructed using these variables.ConclusionIn the absence of treatment intervention, early-stage PTC progressed slowly with an overall favorable prognosis. However, in mid to advanced-stage PTC, as tumor stage increased, disease progression accelerated, and prognosis gradually worsened. Age, tumor stage, marital status, and gender were independent risk factors influencing the prognosis of untreated PTC, and the nomogram based on these factors demonstrated good prognostic capability.

A population-based study on incidence trends of kidney and renal pelvis cancers in the United States over 2000-2020.

Cancers of the kidney and renal pelvis are among the most prevalent types of urinary cancers. We aimed to outline the incidence trends of kidney and renal pelvis cancers by age, sex, race/ethnicity, and histology in the United States (US) from 2000 to 2020. The data was obtained from the Surveillance, Epidemiology, and End Results (SEER) 22 database. The identification of patients with kidney and renal pelvis cancers with morphologies of renal cell carcinoma, nephroblastoma, sarcoma, and neuroendocrine tumor was conducted utilizing the International Classification of Diseases for Oncology version 3. The average annual percent change (AAPC) were presented. All estimates were given in the form of counts and delayed age-standardized incidence rates (ASIRs) per 100,000 people. From 2000 to 2019, a total of 490,481 cases of kidney and renal pelvic cancer were recorded across all age groups in the US. The majority of them were among Non-Hispanic Whites (NHWs) (69.75%) and those aged 55-69 years (39.96%). The ASIRs per 100,000 for kidney and pelvis cancers were 22.03 for men and 11.14 for women. Non-Hispanic Black men had the highest ASIR (24.53 [24.24, 24.81]), and increase in ASIR over the 2000-2019 period (AAPC: 2.19% [1.84, 2.84]). There was a noticeable increase in incidence of kidney and renal pelvis cancers. Individuals aged 70-84 years had the highest ASIR for kidney and renal pelvis cancers. The COVID-19 era has resulted in a significant reduction in incidence rates across all demographics.

The exploration of surgery and survival prediction in patients with peritoneal metastasis from gastric adenocarcinoma based on the SEER database.

Background: As one of the most common diseases in terms of cancer-related mortality worldwide, gastric adenocarcinoma (GA) frequently develops peritoneal metastases (PMs) in advanced stages. Systemic therapy or optimal supportive care are recommended for advanced GA; however, patients frequently develop drug resistance. Surgical resection is not recommended for stage IV patients, and there have been some controversies regarding the role of it in GA patients with PMs. The aim of the study was to preliminarily evaluate the possible effect of surgical treatments on patients with only PMs from GA. Methods: Data were collected from the Surveillance, Epidemiology and End Results (SEER) database (year 2000-2022). A propensity score matching (PSM) was performed to reduce the influence of selection bias and confounding variables on comparisons. Then Cox proportional hazard regression, Kaplan-Meier analysis, and log-rank test were performed to assess the efficacy of surgical treatment in patients with PMs from GA. Results: A total of 399 patients diagnosed with PMs from GA were enrolled for our analysis, of which, 180 (45.1%) patients did not receive surgery and 219 (54.9%) patients received surgery. Multivariate Cox regression analysis before PSM indicated higher rates of overall survival (OS) outcome for patients who had received surgery [hazard ratio (HR) =0.4342, 95% confidence interval (CI): 0.3283-0.5742, P<0.001]. After PSM, a total of 172 patients were enrolled, with 86 in each group. Multivariate Cox analysis showed that surgery was the independent factor reflecting patients' survival (HR =0.4382, 95% CI: 0.3037-0.6324, P<0.001). Subgroup survival analysis revealed that surgery may bring advantages to patients with grades I-IV, stages T1-T4, stage N0, and tumor size less than 71 mm (P<0.05). We also found that the OS of chemotherapy patients who had undergone surgery was better than that of chemotherapy patients who had not undergone surgery (P<0.01). Conclusions: Based on the SEER database, surgery has better OS for patients only with PMs from GA. Patients without lymph node metastasis and those who received chemotherapy before may benefit from surgery. These specific groups of patients may have surgery as an option to improve the prognosis.

Trends in primary malignant bone cancer incidence and mortality in the United States, 2000-2017: A population-based study.

Background: Primary malignant bone cancers have extremely low incidence, resulting in poor evaluation of their epidemiological characteristics. The objective of this study was to investigate trends in the incidence of primary malignant bone cancers and related mortality. Materials and methods: Data from patients diagnosed with malignant bone cancers from 2000 to 2017 in the Surveillance Epidemiology and End Results database were retrospectively analyzed. Annual age-adjusted incidence and mortality were calculated, and the annual percentage change analyzed. Further, characteristics including patient age and sex, as well as the primary site and stage of different tumor types, were analyzed. Results: The overall age-adjusted incidence rate of primary malignant bone cancers was 7.70 per million people per year, and incidence rates had increased in patients between 60 and 79 years old, or with tumor size ≥ 8 cm. The incidence of chordoma increased significantly (annual percentage change (APC), 3.0 % per year), while those of WHO grade I and II primary bone cancers decreased. During 2000-2017, the mortality rate attributable to malignant bone cancers across the entire United States was 4.41 per million people per year. A positive mortality trend was observed during the study period (APC = 0.7 %, 95 % confidence interval: 0.0 %-1.5 %). Patients with osteosarcoma, and those who were female or of white ethnicity showed significant increasing trends in mortality rate. Conclusions: Different tumor types have variable epidemiological manifestations, in terms of incidence and mortality, and exhibited altered trends over recent years. These variables can provide guidance to inform allocation of medical resources.

Survival Predictive Nomograms for Non-Surgical Brain Metastases Patients From Non-Small Cell Lung Cancer Receiving Radiotherapy: A Population-Based Study.

OBJECTIVE: A high number of Non-Small Cell Lung Cancer (NSCLC) patients with brain metastasis who have not had surgery often have a negative outlook. Radiotherapy remains a most common and effective method. Nomograms were developed to forecast the cancer-specific survival (CSS) and overall survival (OS) in NSCLC individuals with nonoperative brain metastases who underwent radiotherapy. METHODS: Information was gathered from the Surveillance, Epidemiology, and End Results (SEER) database about patients diagnosed with NSCLC who had brain metastases not suitable for surgery. Nomograms were created and tested using multivariate Cox regression models to forecast CSS and OS at intervals of 1, 2, and 3 years. RESULTS: The research involved 3413 individuals diagnosed with NSCLC brain metastases who had undergone radiotherapy but had not experienced surgery. These participants were randomly divided into two categories. The analysis revealed that gender, age, ethnicity, marital status, tumor location, tumor laterality, tumor grade, histology, T stage, N stage, chemotherapy, tumor size, lung metastasis, bone metastasis, and liver metastasis were significant independent predictors for OS and CSS. The C-index for the training set for predicting OS was .709 (95% CI, .697-.721), and for the validation set, it was .705 (95% CI, .686-.723), respectively. The C-index for predicting CSS was .710 (95% CI, .697-.722) in the training set and .703 (95% CI, .684-.722) in the validation set, respectively. The nomograms model, as suggested by the impressive C-index, exhibits outstanding differentiation ability. Moreover, the ROC and calibration curves reveal its commendable precision and distinguishing potential. CONCLUSIONS: For the first time, highly accurate and reliable nomograms were developed to predict OS and CSS in NSCLC patients with non-surgical brain metastases, who have undergone radiotherapy treatment. The nomograms may assist in tailoring counseling strategies and choosing the most effective treatment method.

The effect of surgery and metastatic risk prediction in patients with gastrointestinal tract signet-ring cell carcinoma.

PURPOSE: This study aimed to assess the efficacy of surgery as a treatment option for patients with signet-ring cell carcinoma (SRCC) in the gastrointestinal tract (GI-SRCC). METHODS: Using the Surveillance, Epidemiology, and End Results database, patients with GI-SRCC who underwent surgery or received nonsurgical treatment were included. Propensity score matching (PSM) analysis was used to balance baseline characteristics and reduce bias. Overall survival (OS) was calculated in matching cohorts to estimate prognosis for patients with GI-SRCC. Nomogram was established to predict metastasis for patients with GI-SRCC. RESULTS: The study enrolled a total of 9428 patients with GI-SRCC, with 1689 patients in the nonsurgery group and 7739 patients in the surgery group. After 1:1 PSM, we analyzed 743 patients from each group. Our survival analyses revealed that surgery independently correlated with improved OS for patients with GI-SRCC (hazard ratio, 0.37; 95% CI, 0.33-0.42; P < .001). Subgroup analysis further confirmed the positive impact of surgery on the prognosis of patients with nonmetastatic GI-SRCC. Notably, distinct subsets of patients with metastasis, particularly those originating from the upper GI (esophagus, proximal stomach, and distal stomach) and left colon, demonstrated a significant improvement in OS after surgery. However, no significant survival difference was observed for patients with metastatic right colon and rectum SRCC. Using nomogram, we quantitatively assessed the risk of metastasis in patients with right colon and rectum SRCC, which exhibited robust predictive accuracy, with area under the curve values of 0.829. CONCLUSION: Our study highlighted surgery's positive impact on prognosis for both patients with nonmetastatic and metastatic upper GI-SRCC and left colon SRCC. Hence, we recommend surgery as a treatment option for these groups. In addition, for patients with metastatic right colon and rectum SRCC ineligible for surgery, our predictive nomogram can offer a convenient tool to aid early intervention and improve prognosis.