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Purpose: This study aimed to investigate the association between lymph node yield (LNY) and cancer-specific survival (CSS) in patients with T1 colorectal cancer (CRC) via data from two large cohorts. Methods: We analyzed data from 4186 patients in the SEER cohort (2010–2015) and 533 patients from CHCAMS (2014–2019). Patients were categorized into two groups based on whether their LNY was above or below the guideline-recommended threshold of 12 nodes. Propensity score matching was used to adjust for confounding factors, and survival analysis was conducted using Kaplan–Meier and Cox proportional hazards models. Results: No significant difference in CSS was found between patients with LNY ≥ 12 and those with LNY < 12 in either the SEER or CHCAMS cohorts (log-rank P > 0.05 for both). After multivariate adjustment, LNY was not independently associated with CSS. Factors such as age, tumor location, elevated preoperative CEA levels, and adjuvant chemotherapy were significant prognostic factors in the SEER cohort. In the CHCAMS cohort, lymph node metastasis (LNM) emerged as the sole independent predictor of CSS. Conclusion: Our findings suggest that LNY is not significantly associated with CSS in patients with T1 CRC, challenging the necessity of adhering to the 12-node benchmark for early-stage disease. Instead, factors such as tumor biology, LNM, and patient demographics may be more relevant in determining survival outcomes. Further prospective studies are needed to validate these findings and refine guidelines for lymph node assessment in early-stage CRC. [ABSTRACT FROM AUTHOR]

Background: Few studies have been designed to predict the survival of Chinese patients initially diagnosed with metastatic gastric cancer (mGC). Therefore, the objective of this study was to construct and validate a new nomogram model to predict cancer-specific survival (CSS) in Chinese patients. Methods: We collected 328 patients with mGC from Northern Jiangsu People's Hospital as the training cohort and 60 patients from Xinyuan County People's Hospital as the external validation cohort. Multivariate Cox regression was used to identify risk factors, and a nomogram was created to predict CSS. The predictive performance of the nomogram was evaluated using the consistency index (C-index), the calibration curve, and the decision curve analysis (DCA) in the training cohort and the validation cohort. Results: Multivariate Cox regression identified differentiation grade (P < 0.001), T-stage (P < 0.05), N-stage (P < 0.001), surgery (P < 0.05), and chemotherapy (P < 0.001) as independent predictors of CSS. Nomogram of chemotherapy regimens and cycles was also designed by us for the prediction of mGC. Thus, these factors are integrated into the nomogram model: the C-index value was 0.72 (95% CI 0.70–0.85) for the nomogram model and 0.82 (95% CI 0.79–0.89) and 0.73 (95% CI 0.70–0.86) for the internal and external validation cohorts, respectively. Calibration curves and DCA also demonstrated adequate fit and ideal net benefit in prediction and clinical applications. Conclusions: We established a practical nomogram to predict CSS in Chinese patients initially diagnosed with mGC. Nomograms can be used to individualize survival predictions and guide clinicians in making therapeutic decisions. [ABSTRACT FROM AUTHOR]

Background: The Inflammatory burden Index (IBI) is an effective predictor for a range of malignancies. However, the significance of IBI in esophageal squamous cell carcinoma (ESCC) needs to be further verified. The aim of this study was to verify the predictive power of IBI in ESCC undergoing radical resection. Methods: The current retrospective study, which comprised 408 ESCC patients randomized into either the primary or validation cohort, evaluated the relationships between IBI, clinical characteristics, and cancer-specific survival (CSS). Additionally, the nomogram model was also constructed and verified. Results: The IBI is significantly related to tumor length, vessel invasion, perineural invasion, and TNM stage. Compared to other hematological indices, the decision curve analyses (DCA) and receiver operating characteristic curve (ROC) confirmed the higher prognostic value of IBI, indicating the better clinical applicability. In patients with high IBI compared to the low IBI cohort, the 5-year CSS was considerably worse (total: 27.0% vs. 59.1%, P < 0.001; primary: 25.0% vs. 58.9%, P < 0.001; validation: 31.7% vs. 59.7%, P = 0.002). The IBI was shown to be an independent parameter by multivariate analyses (primary: HR = 2.352, P < 0.001; validation: HR = 1.683, P = 0.045). Finally, with the C-index of 0.675 (0.656–0.695) in the primary set and 0.662 (0.630–0.694) in the validation set for CSS in ESCC, an IBI-based nomogram was created and validated. Conclusion: The predictive significance of IBI in ESCC patients undergoing radical resection was validated by this investigation. IBI may be utilized for preoperative evaluation of ESCC as it was found to be substantially correlated with prognosis. [ABSTRACT FROM AUTHOR]

Background: The relationship between gout and colorectal cancer (CRC) remains unclear, emphasizing the need for additional research to clarify the potential cumulative effect of gout on CRC development. Methods: Leveraging a single nucleotide polymorphism-based genome-wide association study, the potential causal correlation between gout and CRC was initially analyzed using Mendelian randomization (MR). Subsequently, our analysis was expanded to include an assessment of patient survival, with the aim of evaluating the potential causal correlation between gout and CRC and the impact of gout on CRC survival outcomes. Results: According to MR findings, a substantial relationship was observed between gout and the incidence of CRC when CRC was used as the outcome (OR = 0.954, 95% CI = 0.915–0.995). These results indicate a negative relationship between gout and the likelihood of developing CRC. In addition, when evaluating the overall survival (OS) or cancer-specific survival (CSS) of patients with CRC as outcomes, gout exhibited a significant relationship with survival. The inverse variance weighting approach demonstrated a progressive enhancement in CRC survival with the cumulative impact of gout (OS: OR = 2.000 × 10−4, 95% CI = 1.560 × 10−7–0.292; CSS: OR = 2.200 × 10−5, 95% CI = 4.660 × 10−9–0.104). Conclusion: As gout accumulates, it exerts an inhibitory influence on CRC, indicating a potential protective effect. This study provides robust evidence that can guide the development of future clinical treatment approaches and research priorities. [ABSTRACT FROM AUTHOR]

Background: Subcutaneous gastrointestinal stromal tumors (scGISTs) are extremely rare tumors, and the analysis of their long-term prognosis remains unreported. Therefore, our objective is to analyze the long-term prognosis of patients with scGISTs using the Surveillance, Epidemiology, and End Results database. Methods: Patients diagnosed with GISTs between 2000 and 2019 were included in the study. To handle missing data, multiple imputation techniques were employed. Kaplan–Meier analysis and Cox proportional hazards models were used to evaluate overall survival (OS) and cancer-specific survival (CSS), and subgroup analyses were conducted for various variables. Results: A total of 12,882 patients were enrolled, with 12,636 diagnosed with GISTs and 246 with scGISTs. In comparison to GISTs patients, scGISTs patients exhibited inferior OS [hazard ratio (HR) 1.69, 95% confidence interval (CI) 1.45–1.98, P < 0.001] and CSS (HR 2.16, 95% CI 1.78–2.61, P < 0.001). Across various subgroups, including age, sex, surgical intervention, marital status, and chemotherapy, scGISTs patients consistently demonstrated significantly poorer OS and CSS outcomes compared to GISTs patients (P < 0.05). The 1-, 3-, and 5-year OS rates for scGISTs patients were 78.4%, 60.3%, and 49.3%, respectively, with corresponding CSS rates of 83.3%, 67.8%, and 57.4%. Notably, scGISTs patients who received surgical treatment had significantly higher 5-year OS rates (62.1% vs 30.9%, P < 0.001) and CSS rates (67.8% vs 40.0%, P < 0.001) compared to those who did not undergo surgery. Multivariate Cox regression analysis identified age, surgical status, and mitotic rate as risk factors influencing OS in scGISTs patients, while surgical status and mitotic rate were identified as risk factors affecting CSS. Conclusions: Compared to GISTs patients, scGIST patients exhibit a less favorable prognosis; nonetheless, surgical intervention has been demonstrated to enhance their prognosis. [ABSTRACT FROM AUTHOR]

Purpose: Determining the potential benefit of neoadjuvant androgen deprivation therapy (ADT) and adjuvant ADT in patients with locally advanced prostate cancer (LAPC) undergoing complete resection. Methods: 139 patients diagnosed with cT3–4, or cN+ LAPC in Xiangya Hospital and The First Affiliated Hospital of University of South China from 2010 to 2021 were collected. Cancer-specific survival (CSS) and overall survival (OS) of patients were assessed using Kaplan–Meier and Cox proportional risk analysis. We also analyzed the functional outcomes of two subgroups of patients who underwent radical prostatectomy (RP). Results: Of the 182 patients with cT3–4, or cN+ LAPC, 139 patients (76.4%) were enrolled in the study with a 5-year survival rate of 82.3%. 45 patients (32.4%) received ADT alone, 46 patients (33.1%) received neoadjuvant ADT before surgery, and the remaining 48 patients (34.5%) received surgery with adjuvant ADT. Neoadjuvant ADT before surgery and surgery with adjuvant ADT were associated with significantly improved survival compared with ADT alone. Multivariate Cox models showed that neoadjuvant ADT before surgery (hazard ratio [HR], 0.29; 95% CI 0.13–0.92) or surgery with adjuvant ADT (HR, 0.26; 95% CI 0.16–0.78) was associated with improved CSS compared with ADT alone. Regional lymph node metastasis, positive lymphovascular invasion, and Gleason score 9 + were independent predictors of LAPC CSS and OS. More patients in the neoadjuvant ADT before surgery group achieved final continence status within 12 months after surgery (93.48% v 77.08%). Conclusion: CSS and OS were significantly prolonged in cT3–4, or cN+ LAPC patients who received neoadjuvant ADT before surgery and surgery with adjuvant ADT compared to ADT alone. [ABSTRACT FROM AUTHOR]

Background: The treatment and prognosis of de novo metastatic hormone-sensitive prostate cancer (mHSPC) vary. We established and validated a novel prognostic model for predicting cancer-specific survival (CSS) in patients with mHSPC using retrospective data from a contemporary cohort. Methods: 1092 Japanese patients diagnosed with de novo mHSPC between 2014 and 2020 were registered. The patients treated with androgen deprivation therapy and first-generation anti-androgens (ADT/CAB) were assigned to the Discovery (N = 467) or Validation (N = 328) cohorts. Those treated with ADT and androgen-receptor signaling inhibitors (ARSIs) were assigned to the ARSI cohort (N = 81). Results: Using the Discovery cohort, independent prognostic factors of CSS, the extent of disease score ≥ 2 or the presence of liver metastasis; lactate dehydrogenase levels > 250U/L; a primary Gleason pattern of 5, and serum albumin levels ≤ 3.7 g/dl, were identified. The prognostic model incorporating these factors showed high predictability and reproducibility in the Validation cohort. The 5-year CSS of the low-risk group was 86% and that of the high-risk group was 22%. Approximately 26.4%, 62.7%, and 10.9% of the patients in the Validation cohort defined as high-risk by the LATITUDE criteria were further grouped into high-, intermediate-, and low-risk groups by the new model with significant differences in CSS. In the ARSIs cohort, high-risk group had a significantly shorter time to castration resistance than the intermediate-risk group. Conclusions: The novel model based on prognostic factors can predict patient outcomes with high accuracy and reproducibility. The model may be used to optimize the treatment intensity of de novo mHSPC. [ABSTRACT FROM AUTHOR]

For patients with hepatoblastoma (HB), current staging system is not accurate in predicting survival outcomes. The aim of this study was to develop two accurate survival prediction models to guide clinical decision making. A retrospective analysis of 424 HB patients was performed from 2004 to 2015 using the Surveillance, Epidemiology and End Results (SEER) database. Univariate and multivariate Cox regression analysis was used to screen for variables. The identified variables were used to build survival prediction model. The performance of the nomogram models was assessed based on the concordance index (C-index), calibration plot, and receiver operating characteristic (ROC) curve. The Cox regression analysis identified six variables affecting overall survival (OS) in HB patients, including race, tumor size, lymph node involvement, distant metastases, surgery and chemotherapy. And the Cox regression analysis identified five variables including race, lymph node involvement, distant metastases, surgery, and chemotherapy that affect cancer-specific survival (CCS) in HB patients. In the training cohort, the C-index of the nomogram in predicting the OS was 0.791 [95% confidence intervals (95% CI) 0.717–0.865], CSS was 0.805(95% CI 0.728–0.882). In the validation cohort, the C-index of the nomogram in predicting the OS was 0.712 (95% CI 0.511–0.913), the CSS was 0.751 (95% CI 0.566–0.936). In the training cohort, the area under the receiver operator characteristics curve (AUC) values of the nomogram in prediction of the 1-, 3-, and 5-year OS were 0.842 (95% CI 0.739–0.944), 0.759 (95% CI 0.670–0.849), and 0.770 (95% CI 0.686–0.852), respectively. In the validation cohort, the AUC values for prediction of the 1-, 3-, and 5-year OS were 0.920 (95% CI 0.806–1.034), 0.863 (95% CI 0.750–0.976), and 0.844 (95% CI 0.721–0.967), respectively. Two nomogram models were developed and validated in this study which provided accurate prediction of the OS and CSS in HB patients. The constructed models can be used for predicting survival outcomes and guide treatment for HB patients. [ABSTRACT FROM AUTHOR]

Small cell lung cancer (SCLC) patients exhibit significant heterogeneity in tumor burden, physical condition, and responses to initial treatment. This diversity in treatment responses can result in varying treatment outcomes. The primary objective of this study was to explore the patient demographics associated with improved survival outcomes through radiotherapy. Based on the SEER database, we identified 42,824 SCLC patients enrolled between 2004 and 2015. These patients were stratified into radiotherapy (n = 20,360) and non-radiotherapy groups (n = 22,464). We controlled for confounding factors using propensity score matching (PSM) analysis. Subsequently, Kaplan–Meier (KM) analysis was employed to evaluate the impact of radiotherapy on patients' overall survival (OS) and cancer-specific survival (CSS). Cancer-specific mortality was further analyzed using competitive risk models. Cox analysis was also conducted to examine additional variables potentially affecting the survival of SCLC patients. We identified a total of 42,824 eligible patients, and following PSM, 13,329 patients were successfully matched in both the radiotherapy and non-radiotherapy groups. The KM analysis showed that the median OS was 9 months in the radiotherapy group and 6 months in the non-radiotherapy group. The median CSS was 10 months in the radiotherapy group and 7 months in the non-radiotherapy group. The 5-year OS and 10-year OS rates were 6.2% versus 1.6% in the radiotherapy group and 2.6% versus 0.8% in the non-radiotherapy group (P < 0.001). Competitive risk analysis showed that cancer-specific mortality was significantly higher in the non-radiotherapy group than in the radiotherapy group (P < 0.001). Multivariate Cox analysis showed that the radiotherapy group (relative non-radiotherapy group) showed a significant positive effect on survival outcomes (OS: HR 0.658 95% CI [0.642, 0.675] P < 0.001; CSS: HR 0.662 95% CI [0.645, 0.679], P < 0.001). In addition, age, gender, race, primary tumor site, T stage, N stage, M stage, chemotherapy, and surgery were also considered as important predictors of SCLC outcome. The results of the subgroup analysis showed that the radiotherapy group showed a significant survival advantage regardless of age, sex, race, primary tumor site, M stage, chemotherapy, and surgery (P < 0.001). Radiotherapy may improve both OS and CSS in SCLC patients. Patients with SCLC may benefit from radiotherapy regardless of age, sex, race, primary tumor site, M stage, chemotherapy, and surgery. [ABSTRACT FROM AUTHOR]

Background: Small intestinal stromal tumors (SISTs) are a rare type of mesenchymal tumor. Gender is known to influence the incidence and prognosis of various tumors, but its role on the survival of SISTs at the population level remains unclear. Therefore, we aim to explore the relationship between gender and the prognosis of SISTs using the Surveillance, Epidemiology, and End Results (SEER) database. Methods: Data on SISTs patients from 2000 to 2019 were derived from the SEER database. Multiple imputation was used to address missing data. Kaplan–Meier analyses and Cox proportional hazard models were applied to evaluate the impact of demographic and clinical characteristics on overall survival (OS) and cancer-specific survival (CSS). Results: A total of 3513 patients with SISTs were analyzed, including 1921 males and 1592 females. Kaplan–Meier analysis coupled with log-rank testing demonstrated a significantly higher mortality rate among male patients compared to females (P < 0.001). Notably, female patients exhibited superior OS (hazard ratio [HR] 0.808, 95% confidence interval [CI] 0.724–0.902, P < 0.001) and CSS (HR 0.801, 95% CI 0.692–0.927, P = 0.003) compared to male patients. While the mean 1-year CSS rates were comparable between genders (95.3% for males vs. 96.0% for females, P = 0.332), male patients consistently showed lower mean survival rates at 3-, 5-, and 10-year intervals. Surgical intervention significantly boosted 5-year OS and CSS rates in both male and female patients (P < 0.001). Multivariate Cox regression analysis identified age, sex, grade, TNM stage, surgery, and mitotic rate as independent risk factors for OS and CSS in patients with SISTs. Conclusions: Our findings suggest that male patients with SISTs have a higher risk of mortality compared to female patients, indicating that gender may serve as a predictive indicator for survival in this patient population. [ABSTRACT FROM AUTHOR]

Background: Small intestinal stromal tumors (SISTs) typically require surgical treatment. However, the impact of lymphadenectomy (LA) on long-term prognosis in patients remains unclear. Therefore, we plan to analyze the effect of LA on the prognosis of patients with SISTs using the Surveillance, Epidemiology, and End Results (SEER) database. Methods: Data on SISTs patients between 2000 and 2019 were obtained from the SEER database. Multiple imputation (MI) was employed to handle missing data, while propensity score matching (PSM) was conducted to mitigate selection bias in the comparative assessments between the LA group and the No-LA group. Kaplan–Meier analyses and multivariate Cox proportional hazards models were utilized to evaluate both overall survival (OS) and cancer-specific survival (CSS). Results: A total of 2412 patients diagnosed with SISTs were included in the study, with 879 undergoing LA and 1533 not undergoing LA. There were no significant differences observed between the two cohorts concerning long-term OS (hazard ratio [HR] 0.97, 95% confidence interval [CI] 0.84–1.13, P = 0.720) and CSS (HR 1.05, 95% CI 0.86–1.29, P = 0.622). After PSM, 1596 patients (798 in the LA group and 789 in the No-LA group) were matched for comparison. There was also no difference in long-term OS and CSS between the two groups. Subgroup analysis revealed that in the age group > 60 years, the CSS in the No-LA group was superior to that in the LA group. Multivariate Cox regression analysis revealed that age, M stage, marital status, and mitotic rate are significant risk factors influencing OS and CSS. Conclusions: Conducting LA in patients with SISTs does not enhance long-term prognosis. For patients aged over 60 years, it may be more advisable to refrain from performing LA. [ABSTRACT FROM AUTHOR]

Purpose: To construct an effective prognostic nomogram for patients with clinically localized Acral lentiginous melanoma (ALM). Methods: This retrospective study included ALM patients from the Surveillance, Epidemiology, and End Results (SEER) database from 2004–2015. The 1686 cases were divided into the training and internal validation cohorts at a ratio of 7:3. The Cox regression analyses were performed to select risk factors for the nomogram. The performances of the nomogram were evaluated using the concordance index (C-index), area under receiver operating characteristic curve (AUC), and calibration plots, and validated in an external multicenter cohort. Results: Age, gender, race, and stage were significantly associated with overall survival (OS), with a C-index of 0.727 and 0.722 in the training and internal validation groups, respectively. The AUC of 2-,4-, and 6 years were higher than or equal to 0.75. Age, gender, race, site, and stage were related to ALM patients' CSS which have better C-index of 0.791 and 0.774 in the training and internal validation set. The AUC of 2-,4-, and 6- were higher than or equal to 0.80. Both survival calibration curves of 2-,4, and 6-year OS and CSS brought out a good consistency. The external multicenter cohort authenticated the value of the nomogram of OS, with a C-index of 0.657 and an AUC of 0.67, 0.72, and 0.65 at 2, 4, and 6 years. Good consistency was also observed. Conclusion: A prognostic nomogram was established and validated to help predict the survival of ALM patients and guide individualized treatment strategies. [ABSTRACT FROM AUTHOR]

Purpose: The aim of our study was to assess overall survival and cancer-specific survival in endometrial cancer patients with type 2 diabetes mellitus (T2DM) using metformin. Methods: Patients with endometrial cancer and T2DM during 2000–2012 period were identified from the Lithuanian Cancer Registry and the National Health Insurance Fund database. Cancer-specific and overall survival were primary outcomes. Results: In our study we included 6287 women with endometrial cancer out of whom 664 were diagnosed with T2DM (598 metformin users and 66 never users). During follow-up (mean follow-up time was 8.97 years), no differences in risk of endometrial cancer specific mortality was observed in diabetic patients treated with metformin (Hazard Ratio (HR) 0.87, 95% Confidence Interval (CI) 0.70–1.07). Overall mortality in the diabetic metformin ever users' group was significantly higher compared with the non-diabetic endometrial cancer women (HR 1.17, 95% CI 1.03–1.32) and in the group of metformin never users with T2DM (HR 1.42, 95% CI 1.07–1.87). Conclusion: Our study results suggest no beneficial impact on overall and cancer-specific survival in endometrial cancer patients who were treated with metformin as part of their diabetes treatment. [ABSTRACT FROM AUTHOR]

Objective: To compare outcomes related to survival and post-operative complications in individuals older and younger than 80 years with bladder cancer undergoing radical cystectomy (RC). Methods: We conducted a systematic search using three large databases: PubMed, EMBASE, and Scopus. We included observational studies comparing outcomes between individuals older than 80 years and younger patients undergoing RC. The outcomes of interest included overall survival, disease-specific survival, progression-free survival, and risk of post-operative complications. We applied a random effects model for the analysis and reported pooled effect sizes as odds ratios (ORs) or hazards ratios (HRs) along with 95% confidence intervals. Results: We analyzed 21 studies. Our results show that individuals older than 80 years had higher risks of mortality at 30 days (OR 2.82; 95% CI 1.97, 4.04), 90 days (OR 3.34; 95% CI 2.61, 4.27), 12 months (HR 3.03; 95% CI 2.64, 3.49), and 24 months (HR 3.54; 95% CI 2.27, 5.50) of the post-operative follow-up than younger individuals. In addition, individuals older than 80 years also had poor 5-year survivals (HR 2.17; 95% CI 1.64, 2.88), an increased risk of 5-year cancer-specific mortality (HR 1.58; 95% CI 1.24, 2.03), poor 5-year recurrence free survivals (HR 1.49; 95% CI 1.07, 2.08), and high complications risks (OR 1.20; 95% CI 1.02, 1.42) when compared to younger patients. Conclusion: Individuals older than 80 years undergoing RC are likely to have poor survival-related outcomes and increased complications risks. Pre-planned comprehensive geriatric assessments (CGAs) may be needed to offer better peri- and post-operative care to improve the outcomes in this patient population. [ABSTRACT FROM AUTHOR]

Objective: To date, there have been few studies examining the prognostic implications of histological subtypes in ureteral cancer. And chemotherapy plays a crucial role in the treatment of ureteral cancer, while many factors influence the efficacy of chemotherapy. This study aimed to utilize the Surveillance, Epidemiology and End Results database to assess the impact of histological type on ureteral cancer prognostic outcomes and discovered how histological type and T-stage influence the efficacy of chemotherapy. Methods: Based on Surveillance, Epidemiology, and End Results Program, we reviewed 8915 records of patients with primary ureteral cancer from 18 centers between 2000 and 2018. We focused on the overall survival and cancer-specific survival of the records and used Kaplan‒Meier method to calculate survival curves. Results: In the comparison of prognostic outcomes, atypical subtypes exhibited a less favorable prognosis compared to typical ureteral carcinoma. Notably, patients diagnosed with papillary urothelial carcinoma demonstrated the most favorable overall survival (p = 0.005). Statistically significant benefits were observed in the prognosis of patients with non-papillary urothelial carcinoma who received chemotherapy (HR = 0.860, 95% CI 0.764–0.966, p = 0.011), while chemotherapy did not yield a statistically significant effect on the prognosis of patients with papillary urothelial carcinoma (HR = 1.055, 95% CI 0.906–1.228, p = 0.493). Chemotherapy had an adverse impact on the prognosis of patients with T1 ureteral cancer (HR = 1.235, 95% CI 1.016–1.502, p = 0.034), whereas it exhibited a positive prognostic effect for T3/T4 cases (HR = 0.739, 95% CI 0.654–0.835, p < 0.001). Conclusions: Histological type affects the prognosis of ureteral cancer. And evaluation of cancer histological type and T stage in ureteral cancer patients prior to chemotherapy is mandatory. [ABSTRACT FROM AUTHOR]

An interactive model for predicting the oncological outcome of patients with early-stage huge hepatocellular carcinoma (ES-HHCC) after hepatectomy is still lacking. This study was aimed at exploring the independent risk parameters and developing an interactive model for predicting the cancer-specific survival (CSS) of ES-HHCC. Data from patients with ES-HHCC who underwent hepatectomy were collected. The dimensionality of the clinical features was reduced by least absolute shrinkage and selection operator regression and further screened as predictors of CSS by Cox regression. Then, an interactive prediction model was developed and validated. Among the 514 screened patients, 311 and 203 of them were assigned into the training and validation cohort, respectively. Six independent variables, including alpha-fetoprotein, cirrhosis, microvascular invasion, satellite, tumor morphology, and tumor diameter, were identified and incorporated into the prediction model for CSS. The model achieved C-indices of 0.724 and 0.711 in the training and validation cohorts, respectively. Calibration curves showed general consistency in both cohorts. Compared with single predictor, the model had a better performance and greater benefit according to the time-independent receiver operating characteristic curve and decision curve analysis (P < 0.05). The calculator owned satisfactory accuracy and flexible operability for predicting the CSS of ES-HHCC, which could serve as a practical tool to stratify patients with different risks, and guide decision-making. [ABSTRACT FROM AUTHOR]

Objective: To compare the cancer-specific survival (CSS) among patients with locally advanced laryngeal squamous cell carcinoma (LSCC) receiving chemoradiotherapy (CRT) and radiotherapy (RT) treatment, as well as to establish a prognostic nomogram for survival prediction in patients receiving CRT. Method: Using data from the Surveillance, Epidemiology, and End Results (SEER) database, patients with laryngeal cancer were identified between 2010 and 2015, with follow-up up to 2018. Propensity score matching (PSM) was performed to minimize disproportionate distributions of the potential confounding. Cox regression models were used to evaluate the CSS of two treatment groups. A prognostic nomogram for patients receiving CRT was then developed and evaluated. Results: Totally 1085 non-surgical patients with locally advanced LSCC were included in this study (median [IQR] age, 62 [55–69] years; 829 [76.41%] males), of which 913 receiving CRT and 172 receiving RT. After PSM, significantly improved CSS was observed in locally advanced LSCC patients receiving CRT when compared to RT (HR: 0.62 [95% CI 0.42–0.92]; P = 0.014). Then, in the group of 639 locally advanced LSCC patients receiving CRT, a prognostic nomogram based on age, tumor size, N category, and marital status were developed and validated, of which the predictive performance was superior to that of TNM staging system (7th edition). Conclusion: CSS shows a statistically significant improvement in locally advanced LSCC patients who receipt of CRT when compared with RT. Furthermore, a prognostic nomogram for locally advanced LSCC patients receiving CRT was established, which shows a good calibration and identification accuracy. [ABSTRACT FROM AUTHOR]

Purpose: There is a lack of authoritative opinions on local tumor destruction (LTD) for clinical T1a (cT1a) non-clear cell renal cell carcinoma (nccRCC). We aim to compare the outcomes of cT1a nccRCC after partial nephrectomy (PN) or LTD and explore prognostic factors. Methods: Patients diagnosed with cT1a nccRCC receiving LTD or PN between 2000 and 2020 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. A 1:1 propensity score matching (PSM) was performed for patients receiving LTD and PN. Kaplan–Meier survival analysis, Cox regression analysis, competing risk regression models, and subgroup analysis were used to compare outcomes and identify prognostic factors. Prognostic nomograms were established and evaluated based on the multivariate models. Results: A total of 3664 cT1a nccRCC patients were included. The LTD group had poorer overall survival (OS) and similar cancer-specific survival (CSS) compared with the PN group before and after PSM (p < 0.05), while the other-cause mortality rate of the LTD group was higher than that of the PN group. Age, marital status, household income, prior tumor history, interval between diagnosis and treatment, treatments, and tumor size were identified as independent predictive factors for OS. Age, tumor size, prior tumor history, and histological type were identified as independent predictive factors for CSS. Then the nomograms predicting OS and CSS were constructed based on these prognostic factors, which showed excellent performance in risk stratification and accuracy. Conclusion: LTD could achieve comparable cancer-control effects as PN among cT1a nccRCC patients. The OS and CSS nomograms worked effectively for prognosis assessment. [ABSTRACT FROM AUTHOR]

Purpose: Primary bone and joint sarcomas of the long bone are relatively rare neoplasms with poor prognosis. An efficient clinical tool that can accurately predict patient prognosis is not available. The current study aimed to use deep learning algorithms to develop a prediction model for the prognosis of patients with long bone sarcoma. Methods: Data of patients with long bone sarcoma in the extremities was collected from the Surveillance, Epidemiology, and End Results Program database from 2004 to 2014. Univariate and multivariate analyses were performed to select possible prediction features. DeepSurv, a deep learning model, was constructed for predicting cancer-specific survival rates. In addition, the classical cox proportional hazards model was established for comparison. The predictive accuracy of our models was assessed using the C-index, Integrated Brier Score, receiver operating characteristic curve, and calibration curve. Results: Age, tumor extension, histological grade, tumor size, surgery, and distant metastasis were associated with cancer-specific survival in patients with long bone sarcoma. According to loss function values, our models converged successfully and effectively learned the survival data of the training cohort. Based on the C-index, area under the curve, calibration curve, and Integrated Brier Score, the deep learning model was more accurate and flexible in predicting survival rates than the cox proportional hazards model. Conclusion: A deep learning model for predicting the survival probability of patients with long bone sarcoma was constructed and validated. It is more accurate and flexible in predicting prognosis than the classical CoxPH model. [ABSTRACT FROM AUTHOR]

Background: Gastric cancer (GC) is one of the most common worldwide cancers and causes of death. Various studies have investigated the effect of metformin on overall survival (OS), cancer-specific survival (CSS), recurrence-free survival (RFS), and recurrence rate in diabetic patients after gastrectomy, and their results have been contradictory. This meta-analysis aimed to evaluate the effect of metformin use compared to sulfonylurea compounds with OS, CSS, RFS, and recurrence rate after gastrectomy in diabetic patients. Methods: We reviewed the Scopus, Google Scholar, PubMed, Web of Science, and Embassy databases until September 2022 based on appropriate MESH terms. All observational studies that evaluated the effect of metformin on survival in diabetic patients who underwent surgery for GC were included. The hazard ratio (HR) with a 95% confidence interval was used to estimate the effect size. The Egger test was used to evaluate publication bias. Results: Overall, nine studies, including 245,387 GC patients who underwent surgery, were included. The use of metformin significantly increased the OS rate (HR: 0.81, 95% CI: 0.78, 0.86, P: 0.001, I2: 4.5%), CSS rate (HR: 0.72, 95% CI: 0.63, 0.81, P: 0.011, I2 = 0%), and RFS rate (HR: 719, 95% CI: 0.524, 0.986, P: 0.001) and decreased the recurrence rate after gastrectomy (HR: 0.83, 95% CI: 0.77, 0.87, P: 0.001, I2: 0%). The use of metformin was significantly associated with a greater increase in OS and CSS rate and a greater decrease in recurrence rate in the Asian population than in the Western population. Conclusion: The use of metformin in diabetic patients with GC can be associated with improved OS, CSS, RFS, and reduced recurrence rate after gastrectomy, especially in the Asian population. [ABSTRACT FROM AUTHOR]

Purpose: In this study, we developed a prognostic nomogram for esophageal squamous cell carcinoma (ESCC) patients. Methods: Patients diagnosed with ESCC from the Surveillance, Epidemiology, and End Results (SEER) database (1975–2017) and a local hospital were enrolled in this retrospective cohort study. Prognoses were analyzed using the R language software, and the predictive power of the model was then assessed by the Harrell concordance index (C-index) and the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. Results: In total, 2915 ESCC patients from SEER database were divided into training and validation cohorts. Multivariate analysis revealed that sex, marital status, tumor-node-metastasis (TNM) stage, surgery, chemotherapy, and radiation all showed a significant association with overall survival (OS) and cancer-specific survival (CSS) (also with tumor grade). These characteristics were employed to build a nomogram. The C-index of the nomogram for OS and CSS prediction was 0.743 and 0.748 for the training cohort, which were superior to the predictive power of the 7th TNM staging system. The AUCs of the nomogram for predicting 2- and 5-year OS were 0.805 and 0.812, respectively, and the AUCs for CSS were 0.811 and 0.821, respectively. ROC and calibration curves of data from the SEER internal validation set and of data from our hospital showed that this model had good accuracy for predicting the prognosis of ESCC patient. Conclusion: The nomogram developed in this study provides a useful tool for accurately estimating OS and CSS for ESCC patients. [ABSTRACT FROM AUTHOR]

Objective: To investigate clinicopathological characteristics, surgical treatments, and oncological outcomes of patients with localized primary unifocal urothelial carcinoma involving the ureterovesical junction (UC-UVJ). Patients and methods: Localized primary unifocal UC-UVJ cases in patients admitted to our hospital from March 2013 to August 2021 were reviewed. Clinicopathological parameters, perioperative data, and oncological outcomes were compared between patients grouped by tumor location and surgical treatment. Results: A total of 130 patients with localized primary unifocal UC-UVJ were enrolled in this study. These included 72 cases of bladder cancer (BC) involving the ureteral orifice, and 58 cases of upper urinary tract urothelial carcinoma (UTUC) involving the intramural ureter. The proportion of male patients, hydronephrosis, flank pain/abdominal pain, and tumor size differed significantly between the BC and UTUC groups (all P < 0.05). During the median follow-up period of 32.9 months, 49 cases (37.7%) recurred and 29 (22.3%) died from urothelial carcinoma (UC), though no statistical difference in recurrence (P = 0.436) or cancer-specific mortality (P = 0.653) was observed between the BC and UTUC groups. Cox proportional hazards regression analysis identified age, tumor grade, and lymphovascular invasion (LVI) as independent predictors of cancer-specific survival (CSS), and sex, T stage, tumor grade, and LVI as independent predictors of recurrence-free survival (RFS). Conclusion: Owing to positional properties, patients with localized primary unifocal UC-UVJ exhibited significant heterogeneity, leading to varied treatment strategies. No statistically significant differences in CSS or RFS were observed between the BC and UTUC groups. Furthermore, age, sex, T stage, tumor grade, and LVI should be carefully considered in clinical practice because of their associations with CSS and RFS. [ABSTRACT FROM AUTHOR]

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, and patients with HCC have a poor prognosis and low survival rates. Establishing a prognostic nomogram is important for predicting the survival of patients with HCC, as it helps to improve the patient’s prognosis. This study aimed to develop and evaluate nomograms and risk stratification to predict overall survival (OS) and cancer-specific survival (CSS) in HCC patients. Data from 10,302 patients with initially diagnosed HCC were extracted from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2017. Patients were randomly divided into the training and validation set. Kaplan–Meier survival, LASSO regression, and Cox regression analysis were conducted to select the predictors of OS. Competing risk analysis, LASSO regression, and Cox regression analysis were conducted to select the predictors of CSS. The validation of the nomograms was performed using the concordance index (C-index), the Akaike information criterion (AIC), the Bayesian information criterion (BIC), Net Reclassification Index (NRI), Discrimination Improvement (IDI), the receiver operating characteristic (ROC) curve, calibration curves, and decision curve analyses (DCAs). The results indicated that factors including age, grade, T stage, N stage, M stage, surgery, surgery to lymph node (LN), Alpha-Fetal Protein (AFP), and tumor size were independent predictors of OS, whereas grade, T stage, surgery, AFP, tumor size, and distant lymph node metastasis were independent predictors of CSS. Based on these factors, predictive models were built and virtualized by nomograms. The C-index for predicting 1-, 3-, and 5-year OS were 0.788, 0.792, and 0.790. The C-index for predicting 1-, 3-, and 5-year CSS were 0.803, 0.808, and 0.806. AIC, BIC, NRI, and IDI suggested that nomograms had an excellent predictive performance with no significant overfitting. The calibration curves showed good consistency of OS and CSS between the actual observation and nomograms prediction, and the DCA showed great clinical usefulness of the nomograms. The risk stratification of OS and CSS was built that could perfectly classify HCC patients into three risk groups. Our study developed nomograms and a corresponding risk stratification system predicting the OS and CSS of HCC patients. These tools can assist in patient counseling and guiding treatment decision making. [ABSTRACT FROM AUTHOR]

Background: Cervical adenocarcinoma (CA) is the second most prevalent histological subtype of cervical cancer, following cervical squamous cell carcinoma (CSCC). As stated in the guidelines provided by the National Comprehensive Cancer Network, they are staged and treated similarly. However, compared with CSCC patients, CA patients are more prone to lymph node metastasis and recurrence with a poorer prognosis. The objective of this research was to discover prognostic indicators and develop nomograms that can be utilized to anticipate the overall survival (OS) and cancer-specific survival (CSS) of patients diagnosed with CA. Methods: Using the Surveillance, Epidemiology, and End Result (SEER) database, individuals with CA who received their diagnosis between 2004 and 2015 were identified. A total cohort (n = 4485) was randomly classified into two separate groups in a 3:2 ratio, to form a training cohort (n = 2679) and a testing cohort (n = 1806). Overall survival (OS) was the primary outcome measure and cancer-specific survival (CSS) was the secondary outcome measure. Univariate and multivariate Cox analyses were employed to select significant independent factors and Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analysis was utilized to develop predictive nomogram models. The predictive accuracy and discriminatory ability of the nomogram were assessed by employing metrics such as the calibration curve, receiver operating characteristic (ROC) curve, and the concordance index (C-index). Results: Age, Tumor Node Metastasis stages (T, N, and M), SEER stage, grade, and tumor size were assessed as common independent predictors of both OS and CSS. The C-index value of the nomograms for predicting OS was 0.832 (95% CI 0.817–0.847) in the training cohort and 0.823 (95% CI 0.805–0.841) in the testing cohort. Conclusion: We developed and verified nomogram models for predicting 1-, 3- and 5-year OS and CSS among patients with cervical adenocarcinoma. These models exhibited excellent performance in prognostic prediction, providing support and assisting clinicians in assessing survival prognosis and devising personalized treatments for CA patients. [ABSTRACT FROM AUTHOR]

Purpose: The effectiveness of iodine-131(131I) therapy in patients with papillary thyroid cancer (PTC) of various stage is controversial. This study aimed to use prognostic risk groups to guide 131I therapy in patients with PTC after radical thyroidectomy. Methods: Data of 53,484 patients with PTC after radical thyroidectomy were collected from the Epidemiology and End Results (SEER) database. Patients were divided into subgroups according to MACIS system and regional lymph node involvement. The prognostic role of 131I therapy was investigated by comparing Kaplan–Meier survival analysis and Cox proportional hazard models in different subgroups. Results: Sex, age, tumor size, invasion, regional lymph node involvement, and distant metastasis was related to the survival of patients with PTC. If MACIS < 7, 131I treatment didn't affect the cancer-specific survival (CSS) rate. If MACIS ≥ 7, 131I therapy didn't work on CSS rate for patients with N0 or N1a < 5 status; 131I therapy had improved CSS rate for patients in the N1a ≥ 5 or N1b status. If patients with distant metastasis, invasion, or large tumor, 131I therapy didn't improve CSS rate for patients in N0 or N1a < 5 stage. Conclusion: After radical thyroidectomy, if MACIS < 7, patients with PTC could avoid 131I therapy. If MACIS ≥ 7, patients in the N0 or N1a < 5 could avoid 131I therapy; those in the N1a ≥ 5 or N1b stage should be given 131I therapy. Among them, all patients with distant metastasis should be given 131I therapy. [ABSTRACT FROM AUTHOR]

Background: This study constructed and validated a prognostic model to evaluate long-term cancer-specific survival (CSS) in middle-aged patients with early gastric cancer (EGC). Methods: We extracted clinicopathological data from relevant patients between 2004 and 2015 from Surveillance, Epidemiology, and End Results (SEER) database, and randomly divided the patients into a training group (N = 688) and a validation group (N = 292). In addition, 102 Chinese patients were enrolled for external validation. Univariate and multivariate Cox regression models were used to screen for independent prognostic factors, and a nomogram was constructed to predict CSS. We used the concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) to evaluate the predictive performance of the model. Results: Univariate and multivariate COX regression analyses showed that tumor location, differentiation grade, N stage, chemotherapy, and number of regional nodes examined were independent risk factors for prognosis, and these factors were used to construct the nomogram. The C-index of the model in the training cohort, internal validation cohort, and external validation cohort was 0.749 (95% CI 0.699–0.798), 0.744 (95% CI 0.671–0.818), and 0.807 (95% CI 0.721–0.893), respectively. The calibration curve showed that the model had an excellent fit. The DCA curve showed that the model had good predictive performance and practical clinical value. Conclusion: This study developed and validated a new nomogram to predict CSS in middle-aged patients with EGC. The prediction model has unique and practical value and can help doctors carry out individualized treatment and judge prognosis. [ABSTRACT FROM AUTHOR]

Background: A nomogram is a valuable and easily accessible tool for individualizing cancer prognosis. This study aims to establish and validate two prognostic nomograms for long-term overall survival (OS) and cancer‐specific survival (CSS) in non-metastatic nasopharyngeal carcinoma (NPC) patients and to investigate the treatment options for the nomogram-based risk stratification subgroups. Methods: A total of 3959 patients with non-metastatic NPC between 2004 and 2015 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. The patients were randomly allocated to the training and validation cohorts in a 7:3 ratio. Prognostic nomograms were constructed to estimate OS and CSS by integrating significant variables from multivariate Cox regression employing a backward stepwise method. We examined the correlation indices (C-index) and areas under the curves (AUC) of time-dependent receiver operating characteristic curves to assess the discriminative ability of our survival models. The comprehensive enhancements of predictive performance were evaluated with net reclassification operating improvement (NRI) and integrated discrimination improvement (IDI). Reliability was validated using calibration plots. Decision curve analysis (DCA) was used to estimate clinical efficacy and capability. Finally, the nomogram-based risk stratification system used Kaplan–Meier survival analysis and log-rank tests to examine differences between subgroups. Results: The following independent parameters were significant predictors for OS: sex, age, race, marital status, histological type, median household income, AJCC stage tumor size, and lymph node size. Except for the race variables mentioned above, the rest were independent prognostic factors for CSS. The C-index, AUC, NRI, and IDI indicated satisfactory discriminating properties. The calibration curves exhibited high concordance with the exact outcomes. Moreover, the DCA demonstrated performed well for net benefits. The prognosis significantly differed between low- and high-risk patients (p < 0.001). In a treatment-based stratified survival analysis in risk-stratified subgroups, chemotherapy benefited patients in the high-risk group compared to radiotherapy alone. Radiotherapy only was recommended in the low-risk group. Conclusions: Our nomograms have satisfactory performance and have been validated. It can assist clinicians in prognosis assessment and individualized treatment of non-metastatic NPC patients. [ABSTRACT FROM AUTHOR]

To compare the oncological survival outcomes of partial colectomy (PC) and hemicolectomy (HC) in patients with stage II colon cancer. A total of 18,795 patients with stage II colon cancer who underwent hemicolectomy (n = 12,022) or partial colectomy (n = 6773) from 2010 to 2019 were included in the the Surveillance, Epidemiology, and End Results (SEER) database. Overall survival (OS) and cancer-specific survival (CSS) were compared between the two groups, and the threshold of harvested lymph nodes was determined. The results showed that age, gender, race, tumor site, scope of regional lymph nodes, postoperative chemotherapy, postoperative radiotherapy, harvested lymph nodes, and tumor size were significantly different between the PC and HC groups (all P < 0.05). The OS rate was slightly lower in hemicolectomy patients than in partial colectomy patients (69.9% vs. 74.5%, respectively, P < 0.001), but CSS was similar between the two groups (87.9% vs. 88.1%, respectively, P = 0.32). After propensity score matching (PSM) was performed, the OS and CSS rates in the two groups were significantly different (CSS 84.3% vs. 88.0%, P < 0.001; OS 62.2% vs. 72.5%, P < 0.001). The survminer R package determined that the optimum threshold for the harvested lymph node count in stage II colon cancer patients was 16. CSS was significantly different between patients with ≥ 12 lymph nodes harvested and patients with ≥ 16 lymph nodes harvested (P = 0.043). Univariate and multivariate Cox regression and survival analyses of stage II colon cancer patients showed that the survival benefit of stage II colon cancer patients receiving partial colectomy was superior to that of patients receiving hemicolectomy. Partial colectomy has significant oncological benefits over hemicolectomy in the treatment of stage II colon cancer patients, even in the case of pT4b or tumor deposits. Removal of 16 lymph nodes during colectomy for stage II colon cancer correlated with improved survival, and this threshold was more effective than the standard threshold of 12 lymph nodes in distinguishing between patients with good and poor prognoses. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the prognostic factors of survival and develop a predictive nomogram model for elderly GBM patients. Methods: Elderly patients (> = 65 years) with histologically diagnosed GBM were extracted from the SEER database. Survival analysis of overall survival (OS) was performed by Kaplan–Meier analysis. Univariate and multivariate Cox regression analyses were used to determine independent prognostic factors and these factors were used to further construct the nomogram model. Results: A total of 9068 elderly GBM patients (5122 males and 3946 females) were included, with a median age of 72 years (65–96 years). All patients were divided randomly into the training group (n = 6044) and the validation group (n = 3024) by a ratio of 2:1. Cox regression analyses on OS showed eight independent prognostic factors (race, age, tumor side, tumor size, metastasis, surgery, radiotherapy, and chemotherapy) in the training cohort. Also, seven variables (except for race) were identified on CSS in the training group. By comprising these variables, the nomogram models on OS and CSS for predicting the 6-month, 1-year, and 2-year survival probability were constructed and exhibited moderate consistency, respectively. Then, they could be validated well in the validation cohort and by C-index, time-dependent ROC curve, calibration plot, and DCA curve. Conclusions: Nomogram models on OS and CSS could provide an applicable tool to predict the survival probability and provide clinical references regarding treatment strategies and prognosis. [ABSTRACT FROM AUTHOR]

Background: Synchronous multiple primary colorectal cancer (SMPCC) is a rare subtype of CRC, characterized by the presence of two or more primary CRC lesions simultaneously or within 6 months from the detection of the first lesion. We aim to develop a novel nomogram to predict OS and CSS for SMPCC patients using data from the SEER database. Methods: The clinical variables and survival data of SMPCC patients between 2004 and 2018 were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Appropriate inclusion and exclusion criteria were established to screen the enrolled patients. Univariate and multivariate Cox regression analyses were used to identify the independent risk factors for OS and CSS. The performance of the nomogram was evaluated using the concordance index (C-index), calibration curves, and the area under the curve (AUC) of a receiver operating characteristics curve (ROC). A decision curve analysis (DCA) was generated to compare the net benefits of the nomogram with those of the TNM staging system. Results: A total of 6772 SMPCC patients were enrolled in the study and randomly assigned to the training (n = 4670) and validation (n = 2002) cohorts. Multivariate Cox analysis confirmed that race, marital status, age, histology, tumor position, T stage, N stage, M stage, chemotherapy, and the number of dissected LNs were independent prognostic factors.The C-index values for OS and CSS prediction were 0.716 (95% CI 0.705–0.727) and 0.718 (95% CI 0.702–0.734) in the training cohort, and 0.760 (95% CI 0.747–0.773) and 0.749 (95% CI 0.728–0.769) in the validation cohort. The ROC and calibration curves indicated that the model had good stability and reliability. Decision curve analysis revealed that the nomograms provided a more significant clinical net benefit than the TNM staging system. Conclusion: We developed a novel nomogram for clinicians to predict OS and CSS, which could be used to optimize the treatment in SMPCC patients. [ABSTRACT FROM AUTHOR]

Background and Purpose: Non-muscle-invasive bladder cancer (NMIBC) constitutes a heterogeneous group of tumors with different prognoses. This population-based study aimed to report real-world cancer-specific survival (CSS) of NMIBC and create a prognostic nomogram based on the identified risk factors. Methods: The Surveillance, Epidemiology, and End Results database was searched for patients diagnosed with NMIBC from 2004 to 2015, who underwent transurethral resection of the bladder tumor. The dataset was divided into development and validation cohorts. Factors associated with CSS were identified using Cox proportional hazards and used to develop a prognostic nomogram. Results: In total, 98,238 patients with NMIBC were included. At the median follow-up of 124 months (IQR 81–157 months), cancer-specific mortality (CSM) was highest for T1HG (19.52%), followed by Tis (15.56%), similar for T1LG and TaHG (10.88% and 9.23%, respectively), and lowest for TaLG (3.76%). Multivariable Cox regression for CSS prediction was utilized to develop a nomogram including the following risk factors: tumor T category and grade, age, tumor size and location, histology type, primary character, race, income, and marital status. In the validation cohort, the model was characterized by an AUC of 0.824 and C-index that reached 0.795. Conclusions: To conclude, NMIBC is associated with a significant risk of long-term CSM especially, but not only, in patients with T1HG. Rarely diagnosed TaHG and T1LG tumors should be regarded as high-risk due to approximately 10% CSM. T category, grading, and age remain the most powerful determinants of CSS in NMIBC, but sociodemographic factors might also influence its prognosis. [ABSTRACT FROM AUTHOR]

Background: Extragastrointestinal stromal tumors (EGISTs) are rare mesenchymal neoplasms that originate outside the gastrointestinal tract. However, the population-level survival analysis of EGIST remains poorly grasped. Therefore, we aimed to analyze the survival of EGIST patients using the Surveillance, Epidemiology, and End Results (SEER) database. Methods: All patients diagnosed with GIST and EGIST between 2000 and 2019 were identified through utilization of the SEER database. Missing data were handled using multiple imputation methodology. Kaplan–Meier analyses and Cox proportional hazard models were employed to assess the influence of demographic and clinical characteristics on both overall survival (OS) and cancer-specific survival (CSS). Results: A total of 13,330 patients were enrolled in the study, comprising 12,627 diagnosed with GIST and 703 with EGIST. EGIST patients demonstrated significantly poorer OS [hazard ratio (HR) 1.732, 95% confidence interval (CI) 1.522–1.970, P < 0.001] and CSS (HR 2.167, 95% CI 1.821–2.577, P < 0.001) compared to GIST patients. The mean 1-year, 3-year, 5-year, and 10-year OS rates for EGIST patients were 78.3%, 61.9%, 50.5%, and 32.5%, respectively, with corresponding mean CSS rates of 84.3%, 70.8%, 61.3%, and 46.5%. Multivariate Cox regression analysis identified age, race, sex, grade, size, and surgical type as independent risk factors for OS in EGIST patients, while age, sex, year of diagnosis, grade, surgical type, and radiation therapy were identified as independent risk factors for CSS. Patients with EGIST who underwent surgical treatment exhibited significantly higher 5-year OS rates (49.0% vs. 39.9%, P = 0.035) and CSS rates (63.9% vs. 53.0%, P = 0.028) compared to those who did not undergo surgery. Conclusions: EGIST patients have a poorer prognosis compared to GIST patients; however, surgical treatment has been shown to improve the prognosis. [ABSTRACT FROM AUTHOR]

Background: Surgery is the predominant treatment modality for chondrosarcoma. This study aims to construct a novel clinic predictive tool that accurately predicts the 3-, 5-, and 8-year probability of cancer-specific survival (CSS) for primary chondrosarcoma patients who have undergone surgical treatment. Methods: The Surveillance, Epidemiology, and End Results (SEER) database was used to identify 982 primary chondrosarcoma patients after surgery, who were randomly divided into two sets: training set (60%) and internal validation set (40%). Cox proportional regression analyses were used to screen post-surgical independent prognostic variables in primary chondrosarcoma patients. These identified variables were used to construct a nomogram to predict the probability of post-surgical CSS of primary chondrosarcoma patients. The k-fold cross-validation method (k = 10), Harrell's concordance index (C-index), receiver operating characteristic curve (ROC) and area under curve (AUC) were used to assess the predictive accuracy of the nomogram. Calibration curve and decision curve analysis (DCA) were used to validate the clinical application of the nomogram. Results: Age, tumor size, disease stage and histological type were finally identified post-surgical independent prognostic variables. Based the above variables, a nomogram was constructed to predict the 3-, 5- and 8-year probability of post-surgical CSS in primary chondrosarcoma patients. The results of the C-index showed excellent predictive performance of the nomogram (training set: 0.837, 95% CI: 0.766–0.908; internal validation set: 0.835, 95% CI: 0.733–0.937; external validation set: 0.869, 95% CI: 0.740–0.998). The AUCs of ROC were all greater than 0.830 which again indicated that the nomogram had excellent predictive performance. The results of calibration curve and DCA indicated that the clinical applicability of this nomogram was outstanding. Finally, the risk classification system and online access version of the nomogram was developed. Conclusion: We constructed the first nomogram to accurately predict the 3-, 5- and 8-year probability of post-surgical CSS in primary chondrosarcoma patients. This nomogram would assist surgeons to provide individualized post-surgical survival predictions and clinical strategies for primary chondrosarcoma patients. [ABSTRACT FROM AUTHOR]

Background: Existing predictive models often focus solely on overall survival (OS), neglecting the bias that other causes of death might introduce into survival rate predictions. To date, there is no strict predictive model established for cancer-specific survival (CSS) in patients with intermediate and advanced colon cancer after receiving surgery and chemotherapy. Methods: We extracted the data from the Surveillance, Epidemiology, and End Results (SEER) database on patients with stage-III and -IV colon cancer treated with surgery and chemotherapy between 2010 and 2015. The cancer-specific survival (CSS) was assessed using a competitive risk model, and the associated risk factors were identified via univariate and multivariate analyses. A nomogram predicting 1-, 3-, and 5-year CSS was constructed. The c-index, area under the curve (AUC), and calibration curve were adopted to assess the predictive performance of the model. Additionally, the model was externally validated. Results: A total of 18 risk factors were identified by univariate and multivariate analyses for constructing the nomogram. The AUC values of the nomogram for the 1-, 3-, and 5-year CSS prediction were 0.831, 0.842, and 0.848 in the training set; 0.842, 0.853, and 0.849 in the internal validation set; and 0.815, 0.823, and 0.839 in the external validation set. The C-index were 0.826 (se: 0.001), 0.836 (se: 0.002) and 0.763 (se: 0.013), respectively. Moreover, the calibration curve showed great calibration. Conclusion: The model we have constructed is of great accuracy and reliability, and can help physicians develop treatment and follow-up strategies that are beneficial to the survival of the patients. [ABSTRACT FROM AUTHOR]

Objective: To wholly evaluate the prognostic value of CHT for pT1-3N0-1 breast cancer patients with HR+, HER2− subtype using the Surveillance, Epidemiology, and End Results (SEER) database. Method: A total of 126,102 eligible cases diagnosed between January 2010 and December 2018 were included in the SEER database. A propensity-score matched (PSM) study with competing risk analysis was conducted. The Kaplan–Meier method was used to visualize the survival disparities between chemotherapy (CHT) and no CHT groups. The cumulative incidences of different subgroups were compared by Fine-Gray's test. Results: Before PSM, patients in the CHT group had worse OS and CSS (both P < 0.001). After PSM, we were surprised that patients in the CHT group had a better OS than those in the no CHT group (HR 0.74, 95% CI 0.68–0.80, P < 0.001), while no significant survival disparities were observed for CSS (HR 1.00, 95% CI 0.89–1.12, P = 0.952). In the competing risk analysis, the OS disparities between the CHT and no CHT groups were mainly attributed to deaths of other causes (subdistribution HR [95% CI] 0.50 [0.44–0.57]). After adjusting for other competitive risk events, there was no significant difference in cumulative death risk of breast cancer between the CHT and no CHT groups (subdistribution HR [95% CI] 1.01 [0.90–0.1.13]). Conclusion: The present study is the first, to our knowledge, to wholly evaluate the prognostic value of CHT for pT1-3N0-1 breast cancer patients with HR+, HER2− subtype using a propensity-score matched study with competing risk analysis. All pT1-3N0-1 breast cancer patients with HR+, HER2− subtype do not benefit from CHT. Genetic testing may be the only effective tool to determine the need for CHT at the present. [ABSTRACT FROM AUTHOR]

Background: Gallbladder cancer (GC) is a uncommon and highly malignant tumor. This study compared the effects of simple cholecystectomy (SC) and extended cholecystectomy (EC) on the long-term survival of stage I GC. Methods: Patients with stage I GC between 2004 and 2015 in the SEER database were selected. Meanwhile, this study collected the clinical information of patients with stage I GC admitted to five medical centers in China between 2012 and 2022. Using clinical data from patients in the SEER database as a training set to construct a nomogram, which was validated in Chinese multicenter patients. Long-term survival between SC and EC were distinguished using propensity score matching (PSM). Results: A total of 956 patients from the SEER database and 82 patients from five Chinese hospitals were included in this study. The independent prognostic factors were age, sex, histology, tumor size, T stage, grade, chemotherapy and surgical approach by multivariate Cox regression analysis. We developed a nomogram based on these variables. The nomogram has been proved to have good accuracy and discrimination in internal and external validation. The cancer-specific survival (CSS) and overall survival of patients receiving EC were better than those of SC before and after the propensity score match. The interaction test showed that EC was associated with better survival in patients aged ≥ 67 years (P = 0.015) and in patients with T1b and T1NOS (P < 0.001). Conclusion: A novel nomogram to predict CSS in patients with stage I GC after SC or EC. Compared with SC, EC for stage I GC had higher OS and CSS, especially in specific subgroups (T1b, T1NOS, and age ≥ 67 years). [ABSTRACT FROM AUTHOR]

Background: Retroperitoneal leiomyosarcoma is a type of carcinoma with low incidence and poor prognosis, and prognostic factors are currently unknown. Therefore, our study aimed to investigate the predictive factors of RPLMS and establish prognostic nomograms. Methods: Patients diagnosed with RPLMS between 2004 and 2017 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Prognostic factors were identified by univariate and multivariate COX regression analyses and used to generate nomograms to predict overall survival (OS) and cancer-specific survival (CSS). Results: 646 eligible patients were randomly divided into training set (n = 323) and validation set (n = 323). Multivariate COX regression analysis indicated that the independent risk factors for OS and CSS were age, tumor size, grade, SEER stage, and surgery. In the nomogram of OS, the concordance indices (C-index) of the training and validation sets were 0.72 and 0.691, and in the nomogram of CSS, the C-indices of the training and validation sets were 0.737 and 0.737. Furthermore, calibration plots showed that the predicted results of the nomograms in the training and validation sets agree well with the actual observations. Conclusion: Age, tumor size, grade, SEER stage, and surgery were independent prognostic factors for RPLMS. The nomograms developed and validated in this study can accurately predict the OS and CSS of patients, which could help clinicians make individualized survival predictions. Finally, we make the two nomograms into two web calculators for the convenience of clinicians. [ABSTRACT FROM AUTHOR]

Background: Pancreatic solid pseudopapillary neoplasms (pSPNs) are a rare tumor type with a limited understanding of their clinical characteristics and survival outcomes. We aimed to investigate potential prognostic factors among the existing clinical features in patients diagnosed with pSPN. Methods: For this study, we utilized data from the Surveillance Epidemiology and End Results (SEER) database, specifically selecting patients with a histology type of pSPN from the years 2000 to 2019. Subsequently, we conducted both univariate and multivariate Cox regression analyses in a systematic manner to identify potential prognostic factors associated with overall survival (OS) and cancer-specific survival (CSS) in the selected group of patients. To assess the disparity in OS and CSS among different clinical features and treatments, Kaplan–Meier curves were generated. Furthermore, utilizing the results obtained from the multivariate analysis, we developed a nomogram predictive model to effectively forecast the prognosis of patients diagnosed with pSPN. Calibration plots were presented to demonstrate the predictive accuracy and reliability of the nomogram predictive model. Results: The study comprised a total of 433 participants, with 85.7% of the patients diagnosed with pSPN being female and the remaining 14.3% being male. The Kaplan–Meier curves indicated that patients with pSPN who underwent primary tumor resection (PTR) and those who were younger than 70 years old had significantly improved OS and CSS compared to those who did not undergo PTR or were aged 70 years or older, respectively (P < 0.001). Male patients diagnosed with pSPN exhibited poor OS compared to female pSPN patients (P = 0.015). The multivariate Cox regression analysis indicated that age (OS: HR = 1.055, 95% CI = 1.027–1.084, P < 0.001. CSS: HR = 1.054, 95% CI = 1.019–1.091, P = 0.002) and PTR (OS: HR = 6.074, 95% CI = 1.922–19.194, P = 0.002. CSS: HR = 4.912, 95% CI = 1.188–20.312, P = 0.028) were independent prognostic factors for both OS and CSS. Moreover, tumor size (≥ 5 vs < 5 cm CSS: HR = 4.788, 95% CI = 1.012–22.661, P = 0.048) was an independent prognostic factor for CSS. The independent prognostic factors identified through the multivariate Cox regression analysis were utilized to construct a nomogram model for predicting both OS and CSS in patients with pSPN. The accuracy of the nomogram model was visually testified by the calibration plot with acceptable predictive performance. Conclusion: Although the majority of patients diagnosed with pSPN are females, it was observed that male patients tend to have poorer OS compared to their female counterparts. The independent prognostic factors identified in the study were age and PTR, which were associated with both OS and CSS. Tumor size was an independent prognostic factor for CSS. Patients who underwent PTR exhibited improved OS and CSS outcomes. The developed nomogram and corresponding reference table provided promising prognostic predictions for pSPN outcoms, serving as a valuable resource for clinicians and patients alike. [ABSTRACT FROM AUTHOR]

Purpose: Primary testicular diffuse large B-cell lymphoma (PT-DLBCL) is a relatively rare urological tumor with a high degree of malignancy and a poor prognosis. This study aimed to investigate the prognostic risk factors for survival of patients with PT-DLBCL, and then to construct a predictive model and verify its reliability. Methods: First, we selected subjects from the SEER database (2000–2018) and analyzed the survival of PT-DLBCL patients by Kaplan–Meier test. Then, we analyzed prognostic factors by Cox regression. Finally, the data from the training cohort were used to construct a prediction model and represented with a nomogram. We evaluated the nomogram using the consistency index (C-index), decision curve analysis (DCA), and the area under the subject operating characteristic curve (ROC). In addition, calibration curves were plotted to assess the agreement between the column plot model and the actual model. Results: We identified five independent risk factors for patient prognosis affecting OS and CSS in patients with PT-DLBCL by univariate and multivariate analysis, including age, transversality, Ann Arbor staging, chemotherapy, and radiotherapy. According to the above factors, we constructed prognostic nomograms, and found that age contributed the most to the survival of patients with PT-DLBCL. The C-indexes for the nomogram of OS and CSS in the training cohort were 0.758 (0.716–0.799) and 0.763 (0.714–0.812), and in the validation cohort were OS and CSS 0.756 (0.697–0.815) and 0.748 (0.679–0.817). Conclusion: We produced the first nomogram of PT-DLBCL, and it can be used to evaluate the CSS and OS of patients to determine the prognosis of patients. [ABSTRACT FROM AUTHOR]

Purpose: To explore the prognostic factors and the optimal treatment modalities for patients with stage IVA laryngeal squamous cell carcinoma (LSCC), so as to improve the survival rate of patients. Methods: Patients with stage IVA LSCC between 2004 and 2019 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. We used competing risk models to build nomograms for predicting cancer-specific survival (CSS). The effectiveness of the model was assessed using the calibration curves and the concordance index (C-index). The above results were compared with the nomogram established by Cox regression analysis. The patients were grouped into low-risk and high-risk groups by competing risk nomogram formula. And the Kaplan–Meier (K–M) method and log-rank test were used to make sure that these groups had a survival difference. Results: Overall, 3612 patients were included. Older age, black race, a higher N stage, a higher pathological grade, and a larger tumor size were independent risk factors for CSS; married marital status, total/radical laryngectomy, and radiotherapy were protective factors. The C-index was 0.663, 0.633, and 0.628 in the train set and 0.674, 0.639, and 0.629 in the test set of the competing risk model, and 0.672, 0.640, and 0.634 in the traditional Cox nomogram for 1, 3, and 5 years. In overall survival and CSS, the prognosis of the high-risk group was poorer than that of the low-risk group. Conclusion: For patients with stage IVA LSCC, a competing risk nomogram was created to help screen risk population and guide clinical decision-making. [ABSTRACT FROM AUTHOR]

Background: As the incidence of colorectal cancer tends to be younger, early-onset colorectal cancer (EOCRC) has attracted more attention in recent years. We aimed to assess the optimal lymph node staging system among EOCRC patients, and then, establish informative assessment models for prognosis prediction. Methods: Data of EOCRC were retrieved from the Surveillance, Epidemiology, and End Results database. Survival prediction ability of three lymph node staging systems including N stage of the tumor node metastasis (TNM) staging system, lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) was assessed and compared using Akaike information criterion (AIC), Harrell's concordance index (C-index), and likelihood ratio (LR) test. Univariate and multivariate Cox regression analyses were conducted to identify the prognostic predictors for overall survival (OS) and cancer-specific survival (CSS). Effectiveness of the model was demonstrated by receiver operative curve and decision curve analysis. Results: A total of 17,535 cases were finally included in this study. All three lymph node staging systems showed significant performance in survival prediction (p < 0.001). Comparatively, LODDS presented a better ability of prognosis prediction with lower AIC (OS: 70,510.99; CSS: 60,925.34), higher C-index (OS: 0.6617; CSS: 0.6799), and higher LR test score (OS: 998.65; CSS: 1103.09). Based on independent factors identified from Cox regression analysis, OS and CSS nomograms for EOCRC were established and validated. Conclusions: LODDS shows better predictive performance than N stage or LNR among patients with EOCRC. Novel validated nomograms based on LODDS could effectively provide more prognostic information than the TNM staging system. [ABSTRACT FROM AUTHOR]

Primary splenic diffuse large B cell lymphoma (DLBCL) is one of the most common primary tumors in the spleen, while its prevalence is relatively low. Recently, there has been an increase in the incidence rate of primary splenic DLBCL; however, the effectiveness of various treatments for it has not been adequately described previously. The purpose of this study was to compare the effectiveness of various treatments on survival time in primary splenic DLBCL. A total of 347 patients with primary splenic DLBCL were enrolled in The Surveillance, Epidemiology, and End Results (SEER) database. These patients were subsequently divided into four subgroups according to the treatment modalities: non-treatment group (patients who had not received chemotherapy, radiotherapy, or splenectomy, n=19), splenectomy group (patients who had received splenectomy only, n=71), chemotherapy group (patients who had received chemotherapy only, n=95), and the splenectomy combined with chemotherapy group (patients who had received splenectomy and chemotherapy, n=162). The overall survival (OS) and cancer specific survival (CSS) of four treatment groups were evaluated. Compared to the splenectomy group and the non-treatment group, the OS and CSS of the splenectomy combined with chemotherapy group was extremely significantly prolonged (P<0.01). Compared with the chemotherapy group, the OS and CSS of the splenectomy combined with chemotherapy group were longer, but there was no statistical difference (P>0.05). The Cox regression analysis showed that the treatment modality was identified as an independent prognostic factor for primary splenic DLBCL. The landmark analysis shows that the overall cumulative mortality risk was significantly lower in the splenectomy combined with chemotherapy group than in the chemotherapy group within 30 months (P<0.05), and the cancer-specific mortality risk was significantly lower in the splenectomy combined with chemotherapy group than in the chemotherapy group within 19 months (P<0.05). Splenectomy combined with chemotherapy may be the most effective treatment modality for primary splenic DLBCL. [ABSTRACT FROM AUTHOR]

Purpose: MTC has varying clinical course. In cases with metastatic disease (meta-MTC) further therapeutic modalities (locoregional and/or Tyrosine-Kinase-Inhibitors, TKIs) are needed. Clinical features, disease progression, response to therapy and possible factors predisposing to TKIs response-resistance in meta-MTCs were investigated. Methods: Out of 338 MTC patients 54 had meta-MTC and were followed for 0.7–46 years (median 10.5); therapeutic interventions and response to therapy were recorded retrospectively. Results: Of 54 meta-MTC patients, 34/54 were men, 44/54 sporadic (age-at-diagnosis 47 ± 17.4 years, range: 5–78). Distant metastases at diagnosis were present in 12/54 (≥2 loci in 8/12), 7/12 received TKIs; During follow-up metastases occurred in 42/54 (within 0.6–25 years from diagnosis, median 5 yrs). Locoregional therapies were administered to 44/54 (81.5%) and TKIs to 40/54 (74.1%). Vandetanib was administered in 30 patients (24 as first-line therapy). The median progression-free-survival, PFS) was 48 months (range 4–120), partial response (PR): 26.7%, stable disease (SD): 23.3%, progressive disease (PD): 50.0%, cancer-specific survival: 44.8%, (16 in ongoing-therapy). More favorable disease course was recorded in familial-MTC compared to sporadic (p = 0.02) and in those patients with serious-adverse-events (SAEs) under treatment (p = 0.027). Those with biochemical progression under vandetanib, later showed more frequently structural progression (p = 0.007). Ten patients received cabozantinib (8/10 as second-line therapy, median PFS:11 months (3–36 months), 8/10 died). Three RET-mutant patients received selpercatinib; all showed PR. Within the total follow-up period, the response to therapy was: PR: 8/54 (14.8%), SD: 15/54 (27.8%), PD: 31/54 (57.4%), cancer-specific survival 46.3%. Mortality was higher in older patients (≥60 years) compared to younger ones (<60 yrs) (83.3 vs 45.2%, p = 0.021). Outcome was better in familial-MTC vs sporadic (PR: 50 vs 6.8%, SD: 20 vs 29.5%, PD: 30 vs 59.1%, p = 0.007). Conclusions: Meta-MTCs treatment results in disease stabilization in 42.6% during a median 10.5 year follow-up. Combination of locoregional and systemic therapies may result in more favorable PFS. Family history, younger age, SAEs may predict better response; biochemical escape under TKI needs to be followed-up closely as it may indicate disease progression. [ABSTRACT FROM AUTHOR]

Background: Intraductal Carcinoma of the Prostate (IDC-P) is a significant prognostic indicator for prostate cancer, which demonstrates significant associations with homologous recombination repair gene mutations (HRRm) and alterations in tumor suppressor genes. However, no study in Japan has investigated the association between IDC-P and genetic mutations in men with metastatic castration-sensitive prostate cancer (mCSPC).This prospective observational study enrolled 102 de novo mCSPC (LATITUDE high-risk) patients diagnosed between 2018 and 2021, with subsequent monitoring of survival outcomes. A single genitourinary pathologist evaluated all needle biopsy slides. Genetic analyses were performed using the Myriad myChoice HRD plus™. These genetic analyses covered 108 genetic loci, including 15 HRRm genes, with a success rate of 91%.Genetic alterations were observed in 79 patients (77.5%), with 20 exhibiting HRRm (19.6%). Common genetic alterations included FOXA1 (29.4%) and TP53 (17.6%) mutations; BRCA (9.8%) mutations were the most frequent HRRm (BRCA1:2 cases, BRCA2:8 cases, including 6 biallelic). IDC-P-positive patients demonstrated a significantly higher frequency of genetic aberrations (82.6% vs. 50%, p = 0.0082). Patients with biallelic BRCA2, TP53, and PTEN mutations exhibited significantly poorer cancer-specific survival. Multivariate analysis identified lactate dehydrogenase (LDH) (HR 1.005, p = 0.035), TP53 mutations (HR 5.196, p < 0.001), biallelic BRCA2 mutations (HR 10.686, p = 0.005), and IDC-P as independent predictors of poor cancer-specific survival. No cancer-related deaths occurred in IDC-P-negative cases.Our study emphasizes the significant association between IDC-P and an elevated incidence of genetic alterations in Japanese mCSPC patients, emphasizing the need for early genetic testing to guide therapeutic decision-making.Methods: Intraductal Carcinoma of the Prostate (IDC-P) is a significant prognostic indicator for prostate cancer, which demonstrates significant associations with homologous recombination repair gene mutations (HRRm) and alterations in tumor suppressor genes. However, no study in Japan has investigated the association between IDC-P and genetic mutations in men with metastatic castration-sensitive prostate cancer (mCSPC).This prospective observational study enrolled 102 de novo mCSPC (LATITUDE high-risk) patients diagnosed between 2018 and 2021, with subsequent monitoring of survival outcomes. A single genitourinary pathologist evaluated all needle biopsy slides. Genetic analyses were performed using the Myriad myChoice HRD plus™. These genetic analyses covered 108 genetic loci, including 15 HRRm genes, with a success rate of 91%.Genetic alterations were observed in 79 patients (77.5%), with 20 exhibiting HRRm (19.6%). Common genetic alterations included FOXA1 (29.4%) and TP53 (17.6%) mutations; BRCA (9.8%) mutations were the most frequent HRRm (BRCA1:2 cases, BRCA2:8 cases, including 6 biallelic). IDC-P-positive patients demonstrated a significantly higher frequency of genetic aberrations (82.6% vs. 50%, p = 0.0082). Patients with biallelic BRCA2, TP53, and PTEN mutations exhibited significantly poorer cancer-specific survival. Multivariate analysis identified lactate dehydrogenase (LDH) (HR 1.005, p = 0.035), TP53 mutations (HR 5.196, p < 0.001), biallelic BRCA2 mutations (HR 10.686, p = 0.005), and IDC-P as independent predictors of poor cancer-specific survival. No cancer-related deaths occurred in IDC-P-negative cases.Our study emphasizes the significant association between IDC-P and an elevated incidence of genetic alterations in Japanese mCSPC patients, emphasizing the need for early genetic testing to guide therapeutic decision-making.Results: Intraductal Carcinoma of the Prostate (IDC-P) is a significant prognostic indicator for prostate cancer, which demonstrates significant associations with homologous recombination repair gene mutations (HRRm) and alterations in tumor suppressor genes. However, no study in Japan has investigated the association between IDC-P and genetic mutations in men with metastatic castration-sensitive prostate cancer (mCSPC).This prospective observational study enrolled 102 de novo mCSPC (LATITUDE high-risk) patients diagnosed between 2018 and 2021, with subsequent monitoring of survival outcomes. A single genitourinary pathologist evaluated all needle biopsy slides. Genetic analyses were performed using the Myriad myChoice HRD plus™. These genetic analyses covered 108 genetic loci, including 15 HRRm genes, with a success rate of 91%.Genetic alterations were observed in 79 patients (77.5%), with 20 exhibiting HRRm (19.6%). Common genetic alterations included FOXA1 (29.4%) and TP53 (17.6%) mutations; BRCA (9.8%) mutations were the most frequent HRRm (BRCA1:2 cases, BRCA2:8 cases, including 6 biallelic). IDC-P-positive patients demonstrated a significantly higher frequency of genetic aberrations (82.6% vs. 50%, p = 0.0082). Patients with biallelic BRCA2, TP53, and PTEN mutations exhibited significantly poorer cancer-specific survival. Multivariate analysis identified lactate dehydrogenase (LDH) (HR 1.005, p = 0.035), TP53 mutations (HR 5.196, p < 0.001), biallelic BRCA2 mutations (HR 10.686, p = 0.005), and IDC-P as independent predictors of poor cancer-specific survival. No cancer-related deaths occurred in IDC-P-negative cases.Our study emphasizes the significant association between IDC-P and an elevated incidence of genetic alterations in Japanese mCSPC patients, emphasizing the need for early genetic testing to guide therapeutic decision-making.Conclusion: Intraductal Carcinoma of the Prostate (IDC-P) is a significant prognostic indicator for prostate cancer, which demonstrates significant associations with homologous recombination repair gene mutations (HRRm) and alterations in tumor suppressor genes. However, no study in Japan has investigated the association between IDC-P and genetic mutations in men with metastatic castration-sensitive prostate cancer (mCSPC).This prospective observational study enrolled 102 de novo mCSPC (LATITUDE high-risk) patients diagnosed between 2018 and 2021, with subsequent monitoring of survival outcomes. A single genitourinary pathologist evaluated all needle biopsy slides. Genetic analyses were performed using the Myriad myChoice HRD plus™. These genetic analyses covered 108 genetic loci, including 15 HRRm genes, with a success rate of 91%.Genetic alterations were observed in 79 patients (77.5%), with 20 exhibiting HRRm (19.6%). Common genetic alterations included FOXA1 (29.4%) and TP53 (17.6%) mutations; BRCA (9.8%) mutations were the most frequent HRRm (BRCA1:2 cases, BRCA2:8 cases, including 6 biallelic). IDC-P-positive patients demonstrated a significantly higher frequency of genetic aberrations (82.6% vs. 50%, p = 0.0082). Patients with biallelic BRCA2, TP53, and PTEN mutations exhibited significantly poorer cancer-specific survival. Multivariate analysis identified lactate dehydrogenase (LDH) (HR 1.005, p = 0.035), TP53 mutations (HR 5.196, p < 0.001), biallelic BRCA2 mutations (HR 10.686, p = 0.005), and IDC-P as independent predictors of poor cancer-specific survival. No cancer-related deaths occurred in IDC-P-negative cases.Our study emphasizes the significant association between IDC-P and an elevated incidence of genetic alterations in Japanese mCSPC patients, emphasizing the need for early genetic testing to guide therapeutic decision-making. [ABSTRACT FROM AUTHOR]

Objective: Patients with advanced hypopharyngeal squamous cell carcinomas (HSCCs) have poor prognoses. The use of surgical or non-surgical treatments for these patients remains a topic of debate. This study compared survival following surgical and non-surgical treatments of patients with advanced HSCC based on the Surveillance, Epidemiology and End Results (SEER) database. Methods: Patients diagnosed with hypopharyngeal cancer from 2004 to 2018 were identified from the SEER database. Patients were divided into non-surgical group and surgical group, and patients in the surgical group were further divided into three groups: surgery-only, surgery with adjuvant radiation therapy and surgery with adjuvant chemoradiation therapy. The primary endpoint was overall survival (OS), and the secondary outcome was cancer-specific survival (CSS). Outcomes were analyzed using Kaplan–Meier analysis. A multivariate Cox regression analysis was also used to identify independent prognostic factors. Results: The records of 1568 eligible patients with stage III or IV HSCC were examined. Receipt of surgery was associated with a longer OS [hazard ratio (HR) = 0.47, 95% confidence interval (CI): 0.4–0.56] and a longer CSS (HR = 0.47, 95% CI: 0.38–0.57) after adjusting for age, sex, race, tumor site, tumor size, tumor grade, TNM stage, AJCC stage, number of carcinomas, prior cancer, receipt of radiotherapy, and receipt of chemotherapy. The results for OS were similar in an exploratory analysis of different patient subgroups. Conclusion: Among patients with advanced HSCC in the SEER database, treatment with surgery was associated with longer OS and CSS than treatment with a non-surgical modality. [ABSTRACT FROM AUTHOR]

Background and aims: Current guidelines recommend consideration of endoscopic therapy (ET) when treating selected early gastric cancers. However, clinical decision-making on ET versus gastrectomy for early adenocarcinoma of esophagogastric junction (AEGJ) remains challenging because of uncertain long-term outcomes. Methods: We performed a retrospective cohort study using the Surveillance, Epidemiology, and End Results database from 2004 to 2017 of early AEGJ patients underwent ET or gastrectomy. Multivariate models were used to compare cancer-specific survival (CSS). Results: Of 881 included early AEGJ patients, 227 (36.2%) patients underwent ET and 654 (63.8%) patients underwent gastrectomy. Early AEGJ patients who underwent ET experienced a similar hazard of cancer-specific death compared with those underwent gastrectomy in both multivariate Cox regression (HR [hazard ratio], 0.93; 95% CI [confidence interval], 0.55–1.56; P = 0.78) and the multivariate competing risk model (subdistribution HR [SHR], 0.86; 95% CI 0.50–1.45; P = 0.56). Propensity score matching was used, 210 patients underwent ET were matched with 210 patients underwent gastrectomy. Patients underwent ET experienced a similar hazard of cancer-specific death compared with those underwent gastrectomy in both multivariate Cox regression (HR, 0.97; 95% CI 0.53–1.77; P = 0.92) and the multivariate competing risk model (SHR, 0.96; 95% CI 0.52–1.77; P = 0.89). Conclusion: Early AEGJ patients who received ET or gastrectomy had comparable long-term outcomes, which lend support to the role of ET in the treatment of these patients. [ABSTRACT FROM AUTHOR]

Fibrolamellar hepatocellular carcinoma (FLC) is a rare subtype of hepatocellular carcinoma. Our study aimed to construct a nomogram to predict the cancer-specific survival (CSS) of FLC. Data of 200 FLC patients enrolled in the Surveillance, Epidemiology, and End Results (SEER) database were divided into the training group and the validation group. Prognostic factors identified in the univariate and multivariate Cox regression analyses were used to construct the nomogram. The concordance index (C-index), calibration curves, time‐dependent receiver operating characteristic curve (ROC), and decision curve analysis (DCA) were used to evaluate the performance of the nomogram. As a result, age ≥ 59, N1 stage, M1 stage, tumor size ≤ 2.0 cm, and no surgery were significantly associated with lower CSS in multivariate Cox regression analysis. The calibration plot showed good consistency of the nomogram between predicted and observed outcomes in the training and validation groups. Compared with the TNM staging system, the prognostic evaluation model (PEM) showed a higher C-index (0.823 vs 0.656). The PEM also showed better predictive performance, with areas under the curve of 0.909 and 0.890 for predicting the 1- and 5-year survival. The AUCs of the TNM stage model for predicting 1- and 5-year survival were 0.629 and 0.787, respectively. In addition, the DCA curve showed that the nomogram had better clinical utility. Finally, we concluded that Age, N stage, M stage, tumor size, and surgery are independent prognostic factors for FLC. PEM established based on these five prognostic indicators can help predict the CSS of patients with FLC. [ABSTRACT FROM AUTHOR]

Background: The single progesterone receptor (PR)-positive phenotype (estrogen receptor (ER)-/PR + , sPR positive) is an infrequent and independent biological entity. However, the prognosis of patients with sPR-positive and her-2-negative phenotype is still controversial, and it is not always easy to decide treatment strategies for them. Methods: Patients during 2010–2014 were identified from Surveillance, Epidemiology, and End Results (SEER) database. The Kaplan–Meier method was used to evaluate cancer-specific survival (CSS). The propensity score matching (PSM) method was used to balance differences of characteristics in groups. The Life-Table method was used to calculate 5-year CSS rates and the annual hazard rate of death (HRD). Results: A total of 97,527 patients were included, and only 745 (0.76%) patients were sPR-positive phenotype. The majority of sPR-positive breast cancer were basal-like subtype. Survival analysis showed that the sPR-positive breast cancer had similar prognosis comparing to double hormonal receptor-negative (ER-/PR-, dHoR-negative) breast cancer, and had the highest HRD during the initial 1–2 years of follow-up, then maintained the HRD of almost zero during the late years of follow-up. Conclusions: The patients with sPR-positive and her-2-negative breast cancer, similar to dHoR-negative breast cancer, had a worse survival, and could benefit from chemotherapy significantly. However, the escalating endocrine therapy was not recommended for sPR-positive patients. The patients with sPR positive should be excluded from future clinical trials concerning endocrine therapy. [ABSTRACT FROM AUTHOR]

Purpose: There are approximately 150,000 women living with metastatic breast cancer (mBC) in the United States. Disparities in de novo mBC incidence and mortality exist across race/ethnicity, socioeconomic status (SES), and rurality. However, how SES and rurality independently impact mBC outcomes across different racial/ethnic groups is not fully understood. The purpose of this study was to determine the impact of SES and rurality on cancer-specific mortality among women with mBC by race/ethnicity. Methods: We conducted a large, population-based retrospective cohort study in women aged 18 + years diagnosed with de novo mBC using the Surveillance, Epidemiology and End Results Census Tract-level SES and Rurality Database (2000–2015). Associations between SES/rurality and cancer-specific mortality were determined using Fine and Gray regression models. Subdistribution hazard ratios (SHR) and 95% confidence intervals (CI) by race/ethnicity and hormone receptor (HR) status were calculated. Results: A cohort of 33,976 women were included with the majority being White (67%), 17% Black, 0.4% American Indian/Alaskan Native, 6% Asian/Pacific Islander, and 10% Latina/Hispanic. We observed the greatest increased risk of BC mortality among Black women with HR-negative mBC residing in neighborhoods with lower SES (lowest versus highest quintile: SHR 1.38, 95% CI 1.00–1.90) and in rural areas compared to urban areas (SHR 1.27, 95% CI 1.01–1.59). Conclusion: Overall, BC-specific survival among women with de novo mBC differs by race/ethnicity, with the greatest adverse impacts of SES and rurality affecting Black women with HR-negative disease. [ABSTRACT FROM AUTHOR]

Purpose: Ovarian cancer is a common gynecological malignant tumor. Poor prognosis is strongly associated with early death, but there is no effective tool to predict this. This study aimed to construct a nomogram for predicting cancer-specific early death in patients with ovarian cancer. Methods: We used data from the Surveillance, Epidemiology, and End Results database of patients with ovarian cancer registered from 1988 to 2016. Important independent prognostic factors were determined by univariate and multivariate logistic regression and LASSO Cox regression. Several risk factors were considered in constructing the nomogram. Nomogram discrimination and calibration were evaluated using C-index, internal validation, and receiver operating characteristic (ROC) curves. Results: A total of 4769 patients were included. Patients were assigned to the training set (n = 3340; 70%) and validation set (n = 1429; 30%). Based on the training set, eight variables were shown to be significant factors for early death and were incorporated in the nomogram: American Joint Committee on Cancer (AJCC) stage, residual lesion size, chemotherapy, serum CA125 level, tumor size, number of lymph nodes examined, surgery of primary site, and age. The concordance indices and ROC curves showed that the nomogram had better predictive ability than the AJCC staging system and good clinical practicability. Internal validation based on validation set showed good consistency between predicted and observed values for early death. Conclusion: Compared with predictions made based on AJCC stage or residual lesion size, the nomogram could provide more robust predictions for early death in patients with ovarian cancer. [ABSTRACT FROM AUTHOR]