Effects of radical cystectomy, radiotherapy, and chemotherapy on the risk of long-term heart-specific death in bladder cancer patients

Background

At present, the low risk of bladder cancer (BCa)-specific death has allowed for investigation into treatment-related cardiotoxicity. To aid clinicians in selecting appropriate cardiovascular disease screening strategies and interventions, this study explored the heart-specific mortality and prognostic factors of patients with BCa after radical cystectomy (RC), radiotherapy (RT), or chemotherapy (CT), and compared their long-term heart-specific mortality with that of the general male population.

Methods

We identified three different treatments for BCa patients from the Surveillance, Epidemiology, and End Results (SEER) database: RC, RT, and CT. Patients were included from 2000 to 2012 and followed through 2015. A cumulative mortality curve and competitive risk regression model were applied to evaluate the prognostic factors of heart-specific mortality, and standardized mortality ratios (SMRs) were calculated.

Results

Of 39,500 men, 30.3%, 18.8%, and 50.9% received RC, RT, and CT, respectively. For patients with a survival period of less than 50 months, tumor-specific death exhibited a rapidly increasing trend, which subsequently flatlined. However, the rates heart-specific mortality and other causes exhibited a tendency to increase stably. The heart-specific and all-cause mortality rates of patients in any age group treated with the three abovementioned strategies were higher than those of the general population. The heart-specific mortality of patients with carcinoma in situ treated with RC and CT exceeded their all-cause mortality, while that of other tumor stages did not. The risks of heart-specific [sub-distribution hazard ratio (SHR) =1.38; 95% confidence interval (CI): 1.22–1.57] and tumor-specific (SHR =1.68; 95% CI: 1.60–1.77) deaths in patients who received RT were higher than those of patients who underwent CT.

Conclusions

The risks of heart-specific and tumor-specific deaths in patients who received RT were higher than those of the RC and CT groups, especially in patients over 65 years of age who received RT.

Prognostic nomogram for predicting long-term survival in bronchopulmonary carcinoid tumor patients receiving resection

Background

We analyzed bronchopulmonary carcinoid tumor (BPC) patients receiving resection from the Surveillance, Epidemiology, and End Results (SEER) database to identify the predictive factors of their survival. Then, we developed and validated nomograms to predict overall survival (OS) and cancer-specific survival (CSS) in BPC patients.

Methods

BPC patients registered in the SEER database were included. They were divided into a training set and an internal validation set (7:3). BPC patients from our center were included as an external validation set. Independent prognostic factors identified by a Cox regression model in the training set were used to construct nomograms to predict survival. Discrimination and calibration plots were used to evaluate the predictive accuracy of the nomograms. The nomograms were evaluated in both the internal and the external validation datasets.

Results

Age, pathological type, and N stage were identified as independent prognostic factors of OS and CSS by Cox analyses (all P<0.05). Tumor size ≥2.5 cm (P=0.045) was an independent factor for unfavorable CSS. Based on these variables, nomograms were constructed. All concordance indexes of the training set, internal validation set, and external validation set indicated that the nomograms had the preferable discriminatory ability. The calibration plots for predictions of the 1-, 3-, and 5-year OS and CSS were in excellent agreement.

Conclusions

Age, pathological type, N stage, and tumor size were independent predictive factors of prognosis in BPC patients receiving resection. These nomograms could serve as effective and accurate tools for the prognostic evaluation of patients with BPCs.

Evaluating anthracycline + taxane versus taxane-based chemotherapy in older women with node-negative triple-negative breast cancer: a SEER-Medicare study

Purpose

Adjuvant chemotherapy reduces recurrence in early-stage triple-negative breast cancer (TNBC). However, data are lacking evaluating anthracycline + taxane (ATAX) versus taxane-based (TAX) chemotherapy in older women with node-negative TNBC, as they are often excluded from trials. The purpose of this study was to evaluate the effect of adjuvant ATAX versus TAX on cancer-specific (CSS) and overall survival (OS) in older patients with node-negative TNBC.

Patients and methods

Using the SEER-Medicare database, we selected patients aged ≥ 66 years diagnosed with Stage T1-4N0M0 TNBC between 2010 and 2015 (N = 3348). Kaplan–Meier survival curves and adjusted Cox proportional hazards models were used to estimate 3-year OS and CSS. Multivariant Cox regression analysis was used to identify independent factors associated with use of ATAX compared to TAX.

Results

Approximately half (N = 1679) of patients identified received chemotherapy and of these, 58.6% (N = 984) received TAX, 25.0% (N = 420) received ATAX, and 16.4% (N = 275) received another regimen. Three-year CSS and OS was improved with any adjuvant chemotherapy from 88.9 to 92.2% (p = 0.0018) for CSS and 77.2% to 88.6% for OS (p < 0.0001). In contrast, treatment with ATAX compared to TAX was associated with inferior 3-year CSS and OS. Three-year CSS was 93.7% with TAX compared to 89.8% (p = 0.048) for ATAX and OS was 91.0% for TAX and 86.4% for ATAX (p = 0.032).

Conclusion

While adjuvant chemotherapy was associated with improved clinical outcomes, the administration of ATAX compared to TAX was associated with inferior 3-year OS and CSS in older women with node-negative TNBC. The use of adjuvant ATAX should be considered carefully in this patient population.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10549-021-06424-z.

Nomograms-based prediction of overall and cancer-specific survivals for patients diagnosed with major salivary gland carcinoma

Background

Major salivary glands carcinoma (MSGC) is a relatively rare cancer with diverse histological types and biological behavior. The treatment planning and prognosis prediction are challenging for clinicians. The aim of the current study was to establish a reliable and effective nomogram to predict the overall survival (OS) and cancer-specific survival (CSS) for MSGC patients.

Methods

Patients pathologically diagnosed with MSGC were recruited from Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into training and validation groups (7:3 ratio). Univariate, multivariate Cox proportional hazard models, and least absolute shrinkage and selection operator (LASSO) regression were adopted for the selection of risk factors. Nomograms were developed using R software. The model performance was evaluated by drawing receiver operating characteristic (ROC), overtime C-index curves, and calibration curves. Harrell C-index, areas under the curves (AUC), and Brier score were also calculated. The decision curve analysis (DCA) was conducted to measure the net clinical benefit.

Results

A total of 11,362 patients were identified and divided into training (n=7,953) and validation (n=3,409) dataset. Sex, age, race, marital status, site, differentiation grade, American Joint Committee on Cancer (AJCC) stage, T/N/M stage, tumor size, surgery, and histological type were incorporated into the Cox hazard model for OS prediction after variable selection, while all predictors, except for marital status and site, were selected for CSS prediction. For 5-year prediction, the AUC of the nomogram for OS and CSS was 83.5 and 82.7 in the training and validation dataset, respectively. The C-index was 0.787 for OS and 0.798 for CSS in the validation group. The Brier score was 0.0153 and 0.0130 for OS and CSS, respectively. The calibration curves showed that the nomogram had well prediction accuracy. From the perspective of DCA, a nomogram was superior to the AJCC stage and TNM stage in net benefit. In general, the performance of the nomogram was consistently better compared to the AJCC stage and TNM stage across all settings.

Conclusions

The performance of the novel nomogram for predicting OS and CSS of MSGC patients was further verified, revealing that it could be used as a valuable tool in assisting clinical decision-making.

The impact of liver fibrosis on microvascular invasion and prognosis of hepatocellular carcinoma with a solitary nodule: a Surveillance, Epidemiology, and End Results (SEER) database analysis

Background

The pathogenesis of non-cirrhotic hepatocellular carcinoma (HCC) with a high recurrence remains controversial, while microvascular invasion (MVI) is highly suggestive of tumor recurrence. This study aimed to investigate the effects of liver fibrosis on MVI and prognosis in HCC.

Methods

Based on the data of HCC in the Surveillance, Epidemiology, and End Results (SEER) database [2004–2015], multivariate logistic regression was used for correlation analysis. Survival was analyzed by Log-Rank test and Cox regression, and decision curve analysis and receiver operating characteristic curves were established to evaluate alternative diagnostic and prognostic strategies.

Results

The study included 1,492 patients with MVI (17.8%) or without MVI (82.2%) for HCC with a solitary nodule. Liver fibrosis was significantly correlated with the occurrence of MVI, and the risk of MVI in patients with a fibrosis score F5–6 was lower than in those with a score of F0–4 (OR =0.651, 95% CI: 0.492–0.860). Combining liver fibrosis could improve the prediction performance of MVI risk models, but liver fibrosis was less associated with survival outcomes in comparison with other tumor characteristics.

Conclusions

Lower liver fibrosis correlated with a higher risk of MVI in HCC with a solitary nodule and was a good indicator for improving the performance of MVI risk models. However, it was not a prognostic sensitive indicator.

Metastatic patterns and prognosis of young lung cancer patients: a population-based study by age

Background

We aimed to examine the different metastatic patterns and corresponding survival outcomes between all ages of young (aged <60 years) and elderly lung cancer patients.

Methods

Lung cancer patients from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015 were divided into a young and elderly group. The young group was subdivided into four consecutive subgroups. Baseline characteristics were analyzed by the Chi-square test. Survival differences were evaluated by Kaplan-Meier curves and Cox proportional hazards models.

Results

Of the total 200,362 lung cancer patients, 155,348 were elderly patients and 45,014 were young patients, including 3,461 aged <45 years, 5,697 aged 45–49 years, 13,645 aged 50–54 years, and 22,211 aged 55–59 years. Compared with elderly lung cancer patients, extrathoracic metastases were significantly more frequent in each younger group, irrespective of the site and number of extrathoracic metastatic organs. Regardless of metastasis patterns, young ages were independent prognostic factors of lung cancer-specific survival (LCSS) [<45 years: hazard ratio (HR): 0.70; 45–49 years: HR: 0.87; 50–54 years: HR: 0.90; 55–59 years: HR: 0.93, all P values were <0.001]. In each age subgroup, patients with multi-organ extrathoracic metastasis had the worst LCSS.

Conclusions

Young lung cancer patients across all ages were at increased risk of extrathoracic metastasis, especially multi-organ patterns, but had a reduced risk of lung cancer-related death compared to elderly patients. Regular and meticulous monitoring of potential metastasized organs is required in young lung cancer patients throughout the follow-up period.

Association of race and health care system with disease stage and survival in veterans with larynx cancer

BACKGROUND

Black patients with laryngeal squamous cell carcinoma (LSCC) historically have inferior outcomes in comparison with White patients. The authors investigated these racial disparities within the Veterans Health Administration (VHA), an equal-access system, and within the Surveillance, Epidemiology, and End Results (SEER) program, which is representative of the US hybrid-payer system.

METHODS

Patients with invasive (T1 or greater) LSCC were included from SEER (2004-2015) and the VHA (2000-2017). The primary outcomes of overall survival (OS) and larynx cancer-specific survival (LCS) were evaluated in Cox and Fine-Gray models.

RESULTS

In the SEER cohort (7122 patients: 82.6% White and 17.4% Black), Black patients were more likely to present with advanced disease and had inferior OS (hazard ratio [HR], 1.37; 95% CI, 1.26-1.50; P < .0001) in a multivariable analysis. Black LCS was worse in a univariable analysis (HR, 1.42; 95% CI, 1.27-1.58; P < .0001), but this effect was attenuated by 83% when the authors controlled for the TNM category and was found to be insignificant in a multivariable analysis (HR, 1.05; 95% CI, 0.93-1.18; P = .42). In the VHA cohort (9248 patients: 79.7% White and 20.3% Black), the 2 racial cohorts presented with similar tumor characteristics and similar OS (HR, 0.95; 95% CI, 0.89-1.02; P = .14). Black LCS was similar in univariable (HR, 1.10; 95% CI, 1.00-1.22; P = .05) and multivariable analyses (HR, 1.02; 95% CI, 0.92-1.14; P = .67).

CONCLUSIONS

Black patients with LSCC had a tumor burden at diagnosis and survival outcomes comparable to those of White patients within the VHA; this was counter to what was observed in the SEER analysis and prior national trends. This study's findings point toward the notable role of health care access in contributing to racial health disparities in the realm of larynx cancer.

Survival outcomes for cancer types with the highest death rates for adolescents and young adults, 1975-2016

BACKGROUND

Five-year relative survival for adolescent and young adult (AYA) patients with cancer diagnosed at the ages of 15 to 39 years is 85%. Survival rates vary considerably according to the cancer type. The purpose of this study was to analyze long-term survival trends for cancer types with the highest mortality among AYAs to determine where the greatest burden is and to identify areas for future research.

METHODS

Using data from the Surveillance, Epidemiology, and End Results cancer registry and the National Center for Health Statistics, the authors examined the incidence, mortality, and survival for the 9 cancer types with the highest mortality rates in this age group from 1975 to 2016. JPSurv, new survival trend software, was used in the analysis.

RESULTS

Results suggested significant improvements in 5-year relative survival for brain and other nervous system tumors, colon and rectum cancer, lung and bronchus cancer, acute myeloid leukemia, and non-Hodgkin lymphoma (all P values < .05). Limited or no improvement in survival was found for female breast cancer, cervical cancer, ovarian cancer, and bone and joint sarcomas.

CONCLUSIONS

Five-year relative survival for multiple cancer types in AYAs has improved, but some common cancer types in this group still show limited survival improvements (eg, ovarian cancer). Survival improvements in colorectal cancer have been overshadowed by its rising incidence, which suggests a substantial disease burden. Future research should focus on female breast, bone, ovarian, and cervical cancers, which have seen minimal or no improvements in survival.

LAY SUMMARY

Survival trends for adolescents and young adults with cancer are presented from a 40-year period. Although survival progress is noted for brain cancer, lung cancer, acute myeloid leukemia, and colon and rectum cancer, the incidence of colon and rectum cancer remains high. Minimal progress is evident for female breast, bone, ovarian, and cervical cancers, which are in need of renewed focus.

Survival outcomes for patients with four treatments in stages I-III esophageal squamous cell carcinoma: a SEER analysis

BACKGROUND

Esophageal cancer (EC) is globally acknowledged as one of the most common malignancies among all gastrointestinal cancers. Furthermore, in Eastern Asia, squamous cell carcinoma is the main pathological type of EC. There are different treatments for esophageal squamous cell carcinoma (ESCC), but there is still a lack of large-sample analysis of prognosis among different treatments, especially for different tumor stages. The analysis of the prognosis of ESCC patients with different treatments may be helpful to choose the treatment methods for different stages ESCC.

METHODS

A total of 3,346 patients with pathological ESCC between 1976 and 2016 were derived from the Surveillance, Epidemiology, and End Results (SEER) database. All clinical factors associated with prognosis were collected and analyzed to achieve the difference of prognosis among different treatments in ESCC patients, such as ages, sex, race, tumor grade, anatomic location and so on. Kaplan-Meier and Cox proportional hazard analysis were used to compare survival of different treatments in ESCC patients with stage I-III.

RESULTS

The overall survival (OS) in all ESCC patients who had received surgery and surgery plus radiation therapy or/and chemotherapy are superior than that had not received any treatments and radiation therapy or/and chemotherapy. The OS in ESCC patients with stage I who had received surgery and surgery plus radiation therapy or/and chemotherapy are superior than that had not received any treatments and radiation therapy or/and chemotherapy. The OS in ESCC patients with stage II/III who had received surgery and surgery plus radiation therapy or/and chemotherapy are superior than that in other groups. Age, race and grade as an independent predictive factor for survival (P<0.05). A nomogram model was constructed to show surgery group had better 1-, 3- and 5-year OS than radiation therapy or/and chemotherapy group (OS: 78.5% vs. 59.2%, 37.9% vs. 18.4%, 16.9% vs. 6.1%).

CONCLUSIONS

Surgery is still the first choice for all ESCC patients with stage I-III. Radiotherapy and chemotherapy could improve the survival rate in ESCC patients with stage II-III who have received surgery.

A nomogram for predicting brain metastasis in patients with de novo stage IV breast cancer

Background

Brain metastasis (BM) is a very serious event in patients with breast cancer. The aim of this study was to establish a nomogram to predict the risk of BM in patients with de novo stage IV breast cancer.

Methods

We gathered female patients diagnosed with de novo stage IV breast cancer between 2010 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. After randomly allocating the patients to the training set and verification set, we used univariate and multivariate logistic regression to analyze the relationship between BM and clinicopathological features. Finally, we developed a nomogram which was validated by the analysis of calibration curve and receiver operating characteristic curve.

Results

Of 7,154 patients with de novo stage IV breast cancer, 422 developed BM. Age, tumor size, subtype, and the degree of lung involvement were significantly correlated with BM. The nomogram had discriminatory ability with an area under curve (AUC) of 0.640 [95% confidence interval (CI): 0.607 to 0.673] in the training set, and 0.644 (95% CI: 0.595 to 0.693) in the validation set.

Conclusions

Our study developed a nomogram to predict BM for de novo stage IV breast cancer, thus helping clinicians to identify patients at high-risk of BM and implement early preventive interventions to improve their prognoses.

Differential prognostic implications of gastric adenocarcinoma based on Lauren's classification: a Surveillance, Epidemiology, and End Results (SEER)-based cohort study

Background

Our study aims to analyze the association between Lauren's classification and gastric adenocarcinoma prognosis using comprehensive statistical analyses.

Methods

According to the selection criteria, patients were included from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression, propensity score matching, and a multivariate competing risk model were used to investigate the association between Lauren's classification and prognosis. Subgroup analysis was used to investigate the role of confounding factors on the association between Lauren types and prognosis.

Results

After exclusion, a total of 20,218 patients from the SEER database were included, with 14,374 intestinal types and 5,844 diffuse types. The univariate Cox regression analysis revealed that the diffuse type had a poorer cancer-specific survival (CSS) rate [hazard ratio (HR), 1.44; 95% confidence interval (CI), 1.38-1.50]. After adjusting for confounding variables, the diffuse type also showed a higher risk of cancer-specific death (HR, 1.20; 95% CI, 1.15-1.20). Sensitivity analysis showed that after propensity score matching, the diffuse type had a poorer CSS rate (HR, 1.23; 95% CI, 1.10-1.36), and the competing risk model further validated these results [subdistribution HR (SHR), 1.32; 95% CI, 1.23-1.41]. Moreover, subgroup analysis demonstrated stable results in the subgroups, except for patients with T1 stage (HR, 1.06; 95% CI, 0.87-1.28) and a tumor size <2 cm (HR, 1.00; 95% CI, 0.83-1.21).

Conclusions

Diffuse-type gastric adenocarcinoma had an overall poorer prognosis compared to the intestinal type. However, in patients with T1 stage and tumor size <2 cm, the diffuse type had a comparable survival rate with the intestinal type.

Clinical Characteristics and Prognosis of Patients With Pulmonary Mucoepidermoid Carcinoma: A SEER-Based Analysis

Background

Primary pulmonary mucoepidermoid carcinoma (PMEC) is an extremely rare malignancy. Its clinical characteristics and prognosis are not fully understood. This study evaluated clinical characteristics and prognostic factors of PMEC and established a nomogram to predict its 1-, 3-, 5- and 10-year cancer-specific survival (CSS) rates.

Methods

In the Surveillance, Epidemiology, and End Results database from January 1, 2016 to December 31, 2016, patients pathologically diagnosed with PMEC were identified. Kaplan-Meier analysis and Cox regression were performed to evaluate the CSS stratified by different covariates. A predictive nomogram model was built and validated by the concordance index (C-index) and calibration curves.

Results

A total of 585 PMEC patients were identified. A total of 408 (70%) of patients were placed into the training cohort, and 177 (30%) patients were placed into the validation cohort. The 5- and 10-year CSS rates of stage I-II PMEC patients were 91.4 and 88.9, respectively. The 1-, 3- and 5-year CSS rates of stage III-IV PMEC were 56.5, 39.45, and 32.1%, respectively. Survival curves showed that older age, large tumor size, poor differentiation, and high TNM stage were associated with a significantly worse prognosis. CSS outcomes were significantly better in patients who received surgical treatments (surgical alone, surgery plus radiation and/or chemotherapy). Patients who received radiation and/or chemotherapy had the worst prognosis. Multivariate Cox results revealed that covariates, including age, tumor laterality, tumor sizes, pathological differentiation, lymph node metastasis, distant metastasis, TNM stage and therapy, were independent prognostic factors for PMEC. These factors were used to construct a nomogram. The C-index of the nomogram was 0.921. The calibration curve presented favorable consistency between the predicted CSS and actual observations. This nomogram was validated by the validation cohort. The C-index of the validation cohort was 0.968.

Conclusion

Age, bilateral tumors, tumor size, pathological differentiation grade, lymph node metastasis, distant metastasis, TNM stage and therapy were independent prognostic factors of PMEC patients. The first nomogram for predicting the CSS of PMEC was built and validated, showing its potential value in practice.

Nomogram for predicting the survival rate of primary pulmonary mucoepidermoid carcinoma patients: a retrospective study based on SEER database

Background

Primary pulmonary mucoepidermoid carcinoma (PMEC) is a rare malignant tumor, and the clinical manifestations lack specificity. The study evaluates the prognostic factors and constructs a practicable nomogram to estimate the individualized survival status for PMEC patients.

Methods

Surveillance, Epidemiology, and End Results (SEER) database was used to selected eligible patients between 1975 and 2016. The baseline characteristics including age, sex, race, marital status, tumor stage, differentiated degree, tumor laterality, primary tumor site, tumor size, lymph node metastases status, distant metastases status, surgery, chemotherapy, and radiation. We identified independent variables to build 3-, 5-, 10-year overall survival (OS) and cancer-specific survival (CSS) nomograms by univariate and multivariate analyses.

Results

A total of 438 PMEC patients met our selection criteria. In multivariate analysis, age, tumor stage, differentiated grade, tumor size, lymph node metastases status, distant metastases status, surgery and radiation were involved in the nomogram. The C-index (0.887 (95% CI: 0.863-0.911), calibrate plots and ROC curves (AUC =0.941, 0.951, 0.935 for 3-, 5-, 10-year OS, respectively) indicated the satisfied accuracy and practicability of our nomograms. Compared to TNM system, our model also showed a superior prediction (IDI =0.167, 0.171, 0.172, P<0.001).

Conclusions

We built OS (CSS) nomograms that can accurately estimate individualized survival time and identify the risk classification of PMEC.

Population-based survival of pediatric rhabdomyosarcoma of the head and neck over four decades

OBJECTIVES

Clinical trials have reported increases in the survival of pediatric rhabdomyosarcoma (RMS) from 25% in 1970 to 73% in 2001. The purpose of this study was to examine whether survival of pediatric patients with RMS of the head and neck improved at the US population level.

METHODS

A population-based cohort of patients with rhabdomyosarcoma of the head and neck aged 0-19 years in the Surveillance, Epidemiology, and End Results (SEER) registry from 1973 to 2013 was queried. The cumulative incidence competing risks (CICR) method was used to estimate risk and survival trends.

RESULTS

718 cases were identified for analysis. Survival rates at 1-, 5-, and 10-years after diagnosis were 91.2%, 73.2%, and 69.4% respectively. Survival rates at 1 year after diagnosis increased from 82.6% to 93.1% during the study period. In the subdistributional hazard analysis, there was a significantly improved disease-specific risk of death in the first year after diagnosis. Overall risk of death did not improve significantly. Favorable prognostic factors included age <10 years at diagnosis, smaller tumor size, absence of distant metastasis, localized tumors, earlier stage at presentation, grossly complete surgical resection, and embryonal or botryoid histology.

CONCLUSIONS

Disease-specific survival in the first year following diagnosis improved, but the change in overall survival at the population level was not statistically significant. These findings should be interpreted in light of the inclusion of patients with distant metastasis at diagnosis, who have poor prognoses, together with the limited statistical power afforded in studies of rare diseases.

Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer

Background

Lymph node status is an important factor in determining the prognosis of early-stage breast cancer. We endeavored to build and validate a simple nomogram to predict lymph node metastasis (LNM) in patients with early-stage breast cancer.

Methods

Patients with T1-2 and non-metastasis (M0) breast cancer registered in the Surveillance, Epidemiology, and End Results (SEER) database were enrolled. All patients were divided into primary cohort and validation cohort in a 2:1 ratio. In order to assess risk factors for LNM, we performed univariate and multivariate binary logistic regression, and based on results of multivariable analysis, we built the predictive nomogram model. The C-index, receiver operating characteristic (ROC) and calibration plots were applied to assess LNM model performance. Moreover, the nomogram efficiency was further validated through the validation cohort, part of which was from the First Affiliated Hospital of Nanjing Medical University database.

Results

Totally, 184,531 female breast cancer with T1-2 tumor size from SEER database and 1,222 patients from the Chinese institutional data were included. There were 123,019 patients in the primary cohort and 62,734 patients in validation cohort. The LNM nomogram was composed of seven features including age at diagnosis, race, primary site, histologic type, grade, tumor size and subtype. The model showed good discrimination, with a C-index of 0.720 [95% confidence interval (CI): 0.717-0.723] and good calibration. Similar C-index was 0.718 (95% CI: 0.713-0.723) in validation cohort. Consistently, ROC curves presented good discrimination in the primary cohort [area under the curve (AUC) =0.720] and the validation set (AUC =0.718) for the LNM nomogram. Calibration curve of the nomogram demonstrated good agreement.

Conclusions

With the prediction of novel validated nomogram for women with early-stage breast cancer, doctors may distinguish patients with high possibility of LNM and devise individualize treatments.

Segmental resection is associated with decreased survival in patients with stage IA non-small cell lung cancer with a tumor size of 21-30 mm

Background

The feasibility of segmental resection for early-stage non-small cell lung cancer (NSCLC) is still controversial. This study aimed to compare survival outcomes following lobectomy and segmental resection in patients with pathological T1cN0M0 (tumor size 21-30 mm) NSCLC.

Methods

Patients diagnosed between 1998 and 2016 with pathological stage IA NSCLC and with tumors measuring 21-30 mm were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. The observational outcomes were cancer-specific survival (CSS) and overall survival (OS) at 5 years. Univariate survival analysis was carried out to identify potential prognostic factors of prolonged survival. Cox proportional hazards model was used to adjust for confounding factors. Additionally, pairwise comparisons were conducted between lobectomy and segmental resection for CSS and OS, and forest plots were drawn.

Results

Of the 9,580 patients analyzed, 400 patients (4.2%) underwent segmental resections. Patients with older age (P<0.001), smaller tumors (P<0.001), and left-sided tumors (P=0.002) were more likely to receive segmental resection. No difference was found in the operative mortality rates between the segmental resection group and the lobectomy group (1.0% vs. 1.2%, P=0.707). The CSS (HR, 1.429; 95% CI, 1.166-1.752; P=0.001) and OS (HR, 1.348; 95% CI, 1.176-1.544; P<0.001) in the segmental resection group were significantly worse than those in the lobectomy group. Subgroup analyses by age, year of diagnosis, sex, tumor size, histology, grade, and the number of dissected lymph nodes also confirmed that lobectomy was associated with improved CSS and OS.

Conclusions

Lobectomy and thorough removal of lymph nodes should continue to be the recommended standard of care for patients with surgically resectable stage IA NSCLC with tumor size of 21-30 mm.

Survival outcomes in prostate cancer patients with a prior cancer

Background

To shed light on the survival outcomes of prostate cancer (PCa) patients diagnosed after a prior cancer and identify prognostic factors for overall survival (OS) and cancer-specific survival (CSS) in PCa patients.

Methods

In the primary group, a total of 1,778 PCa patients with a prior cancer were identified in the Surveillance, Epidemiology, and End Results (SEER) database from 2005 to 2015, retrospectively. Baseline characteristics and causes of death (COD) of these patients were collected and compared. In the second group, a total of 10,296 PCa patients [5,148 patients with PCa as the only malignancy and 5,148 patients with PCa as their second primary malignancy (SPM)] diagnosed between 2010 and 2011 were extracted to investigate the impact of prior cancers on survival outcomes.

Results

In PCa patients with a prior cancer, the most common type of prior cancer was from gastrointestinal system (29.92%), followed by urinary system (21.37%). Patients were more likely to die of the prior caner, and those with prior cancer from respiratory system had the worst survival outcomes. Moreover, the overall ratios in patients with stage (PCa) I–II and III–IV diseases were 0.21 and 1.65, indicating that patients with higher stage diseases were more likely to die of PCa. In the second group, patients with PCa as the SPM had worse OS than those with PCa as the first primary cancer. Lastly, prognostic factors for OS and CSS in PCa patients were explored.

Conclusions

PCa remains to be an important COD for patients with a prior malignancy, especially for those with high-stage diseases. PCa patients with a prior cancer had worse survival outcomes than those without.

Risk factors of regional lymph node (RLN) metastasis among patients with bone sarcoma and survival of patients with RLN-positive bone sarcoma

Background

Regional lymph node metastasis (RLNM) has been reported to be a prognostic factor for poor survival outcomes of bone sarcoma. However, studies about risk factors for RLNM of bone sarcoma are extremely rare, and the outcome of such patients remains to be explored. We aimed to identify risk factors for RLNM of bone sarcoma and conduct survival analysis for patients with bone sarcoma with RLNM.

Methods

A total of 10,641 patients confirmed of malignant bone sarcomas from 1983 to 2014 were identified from the Surveillance, Epidemiology, and End Results (SEER) database, with 311 being regional lymph node positive. Logistic regression analysis was used to identify risk factors for RLNM, while the Cox proportional hazards model and the Fine and Gray’s regression model were used for survival analysis.

Results

The proportion of RLNM was 6.0% in Ewing sarcoma, 2.5% in osteosarcoma and 1.1% in chondrosarcoma. Other bone tumors together had a RLNM rate of 4.2%. Risk factors identified by the logistic regression analysis for RLNM were male patients, primary tumor site, tumor type and size. The multivariate Cox regression analysis suggested age, race, distant metastasis, tumor type and surgical treatment to be prognostic factors for the overall survival of patients with RLNM. Taking non-cancer-specific death as a competing risk, however, we found only age between 30–60 years [sub-distribution hazard ratio (SHR), 1.528, 95% CI, 1.028–2.271; P=0.02], distant metastasis (SHR, 2.418, 95% CI, 1.682–3.474; P<0.001) and surgery treatment (SHR, 0.493, 95% CI, 0.339–0.718; P<0.001) remained significant for the cancer-specific survival in the Fine and Gray’s regression model.

Conclusions

Predictive factors for RLNM of bone sarcoma are sex, tumor site, type and size. In the presence of RKNM, only age, distant metastasis and surgery treatment are prognostic factors for the outcome of patients with bone sarcoma.

Establishment and validation of a novel predictive model to quantify the risk of bone metastasis in patients with prostate cancer

Background

Patients with prostate cancer (PCa) commonly suffer from bone metastasis during disease progression. This study aims to construct and validate a nomogram to quantify bone metastasis risk in patients with PCa.

Methods

Clinicopathological data of patients diagnosed with PCa between 2010 and 2015 were retrospectively retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Predictors for bone metastasis were identified by logistic regression analyses to establish a nomogram. The concordance index (c-index) and calibration plots were generated to assess the nomogram’s discrimination, and the area under the receiver operating characteristic curve (AUC) was used to compare the precision of the nomogram with routine staging systems. The nomogram’s clinical performance was evaluated by decision curve analysis (DCA) and clinical impact curves (CIC). Independent prognostic factors were identified by Cox regression analysis.

Results

A total of 168,414 eligible cases were randomly assigned to the training cohort or validation cohort at a ratio of 1:1. The nomogram, which was established based on independent factors, showed good accuracy, with c-indexes of 0.911 in the training set and 0.910 in the validation set. Calibration plots also approached 45 degrees. After other distant metastatic sites were included in the predictive model, the new nomogram displayed superior prediction performance. The AUCs and net benefit of the nomograms were both higher than those of other routine staging systems. Furthermore, bone metastasis prediction points were shown to be a new risk factor for overall survival.

Conclusions

Novel validated nomograms can effectively predict the risk of bone metastasis in patients with PCa and help clinicians improve cancer management.

Sex-specific survival benefit in early skin melanoma based on 8th AJCC edition: an analysis of data from the Surveillance, Epidemiology, and End Results (SEER) database

Background

Females have been found to have a survival benefit over males in past studies. However, in early melanoma patients, this benefit occurred in only those aged >60 years. The 8th edition of the American Joint Committee on Cancer (AJCC) readjusted the melanoma staging system, specifically stage I. This study aims to verify whether the sex-specific benefit in females exists in different age groups according to the 8th edition of the staging system.

Methods

We collected the data of individuals diagnosed with skin melanoma between 2004 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. Based on the 8th edition of the melanoma staging system, patients diagnosed with pathological stage T1a-T3a, N0 and M0 melanoma were enrolled.

Results

A total of 115,576 patients, including 62,938 male patients and 52,638 female patients, were enrolled in this study. The survival rates of males and females in each stage from IA–IIA were significantly different (P<0.001). In further analyses of each age group, it was found that the proportions of patients with stages IA, IB and IIA were significantly different in each age group. Cox analysis showed that females with stage IA in all age groups benefited significantly, but those in stage IB benefited only when they were aged >60 years. In stage IIA patients, there were significant differences between the <50 and 61–70 years age groups.

Conclusions

Based on data from the SEER database, we found that according to the 8th edition of the AJCC melanoma staging system, females had a higher survival rate than males, and this difference was significant in all age groups in the stage IA group but fluctuated with age in the stage IB and IIA groups.

Patients with hepatocellular carcinoma from more rural and lower-income households have more advanced tumor stage at diagnosis and significantly higher mortality

BACKGROUND

Patients from rural and low-income households may have suboptimal access to liver disease care, which may translate into worse HCC outcomes. The authors provide a comprehensive update of HCC incidence and outcomes among US adults, focusing on the effect of rural geography and household income on tumor stage and mortality.

METHODS

The authors retrospectively evaluated adults with HCC using Surveillance, Epidemiology, and End Results data from 2004 to 2017. HCC incidence was reported per 100,000 persons and was compared using z-statistics. Tumor stage at diagnosis used the Surveillance, Epidemiology, and End Results staging system and was evaluated with multivariate logistic regression. HCC mortality was evaluated using Kaplan-Meier and multivariate Cox proportional hazards methods.

RESULTS

HCC incidence plateaued for most groups, with the exception of American Indians/Alaska Natives (2004-2017: APC, 4.17%; P < .05) and patients in the lowest household income category (<$40,000; 2006-2017: APC, 2.80%; P < .05). Compared with patients who had HCC in large metropolitan areas with a population >1 million, patients in more rural regions had higher odds of advanced-stage HCC at diagnosis (odds ratio, 1.10; 95% CI, 1.00-1.20; P = .04) and higher mortality (hazard ratio, 1.05; 95% CI, 1.01-1.08; P = .02). Compared with the highest income group (≥$70,000), patients with HCC who earned <$40,000 annually had higher odds of advanced-stage HCC (odds ratio, 1.15; 95% CI, 1.01-1.32; P = .03) and higher mortality (hazard ratio, 1.23; 95% CI, 1.16-1.31; P < .001).

CONCLUSIONS

Patients from rural regions and lower-income households had more advanced tumor stage at diagnosis and significantly higher HCC mortality. These disparities likely reflect suboptimal access to consistent high-quality liver disease care, including HCC surveillance.

Clinicopathological characteristics and prognostic factors of pulmonary sarcomatoid carcinoma: a large population analysis

BACKGROUND

This study was conducted to identify the clinicopathological characteristics and survival outcomes of pulmonary sarcomatoid carcinoma (PSC), and to compare prognostic factors between elderly (≥65 years) and non-elderly (<65 years) patients.

METHODS

The Surveillance, Epidemiology, and End Results (SEER) database was used to identify patients diagnosed with PSC between 2004 and 2016. The Kaplan-Meier method was used for overall survival (OS) and cancer-specific survival (CSS) analysis. The Cox proportional hazards model was used to detect independent prognostic factors. A propensity score matched (PSM) analysis was conducted to compare OS and CSS in elderly versus non-elderly PSC patients.

RESULTS

A total of 1,039 eligible cases were identified, with a median follow-up of 6 months. The 5-year OS and CSS rates were 12.3% and 18.7%, respectively, and the median survival was 6 months. Multivariate analysis revealed that female (HR =0.750, P<0.004), surgery (HR =0.484, P<0.001), chemotherapy (HR =0.504, P<0.001), and radiation (HR =0.801, P=0.041) were independent favorable prognostic factors. There was a significant difference in the OS and CSS rates between elderly and non-elderly patients after PSM (P=0.007 and P=0.017, respectively). In multivariate analysis, the predictors for OS in the elderly patients were gender, tumor stage, and chemotherapy, whereas in the non-elderly patients, the predictors were tumor stage, chemotherapy, and surgery.

CONCLUSIONS

The PSC patients in our study had poor survival outcomes. Comprehensive treatment, including surgery, chemotherapy, and radiotherapy, could improve patient prognosis. Elderly patients had different clinicopathological characteristics, compared to non-elderly patients.

Novel analysis of prognosis of young patients with stage II differentiated thyroid cancer based on AJCC 8.0 and 6.0 criteria to implement the staging system

Background

The incidence of thyroid cancer among young adults is increasing; however, the clinical challenges specific to this population, such as diagnosis, reduced healthcare access, and inconsistent care, have received limited attention. Here, we conducted a subgroup analysis on a series of relatively young patients with differentiated thyroid carcinomas (DTCs), focusing on those with distant metastases at stage II, to obtain a deeper understanding of the factors influencing survival.

Methods

Information on <45- or <55-year-old patients at any T/N stage with distant metastasis (M1) was extracted from the SEER database according to the staging system in the 6^th and 8^th American Joint Committee on Cancer (AJCC) editions, respectively. Patient mortality was evaluated using Cox proportional hazards regression analyses and Kaplan-Meier analyses with log-rank tests.

Results

Both cancer-specific and all-cause mortality rates per 1,000 person-years for patients ≥35 years old significantly differed from those of patients <35 years old. DTC-specific survival curves also significantly differed between these age groups, according to both the AJCC 6.0 and 8.0-based analyses (P=0.0017 and P<0.001, respectively), as did patient survival curves (P=0.0003, P<0.001, respectively). The multivariate Cox regression model also revealed that poor OS was strongly predicted by race (P<0.001) in the analysis based on the criteria of 8^th AJCC staging system.

Conclusions

Age is a risk factor for disease-specific and overall survival (OS) in young patients with stage II DTC, and young male patients exhibited poorer survival than females. Race also emerged as a potential risk factor for young patients in stage II. These findings offer guidance for improving the older and newer versions of the AJCC staging system.

Limited Lymph Node Resection Does Not Decrease Postoperative Mortality After Esophagectomy in Octogenarians With Thoracic Esophageal Cancer

BACKGROUND

Octogenarians with esophageal cancer typically have a poor physical condition, reduced physiological reserves, and high postoperative mortality (POM). Extensive lymph node dissection increases surgical trauma and postoperative complications. The purpose of this study was to examine the associations between the number of dissected lymph nodes and short-term and long-term postoperative outcomes in octogenarians with thoracic esophageal cancer.

METHODS

We examined the data of patients from the Surveillance, Epidemiology, and End Results database. We divided the patients into two groups in accordance with the number of lymph nodes dissected: patients with <15 examined lymph nodes (eLNs) and patients with ≥15 eLNs. Mortality was quantified at 30, 60, and 90 d after surgery. Univariable and multivariable logistic regression analyses were performed to identify predictors of 90-day mortality. Kaplan-Meier analysis and the log-rank test were used to analyze the overall survival and cause-specific survival of the patients.

RESULTS

A total of 208 octogenarians with thoracic esophageal cancer were included in the analysis. The 30-day POM rates were 10.3% and 6.9%, the 60-day POM rates were 16.9% and 13.9%, and the 90-day POM rates were 21.3% and 19.4% for patients with <15 eLNs and ≥15 eLNs, respectively. However, the differences in POM between the two groups were statistically nonsignificant (all P > 0.05). In accordance with the multivariable logistic regression analysis, age and marital status were significantly associated with 90-day POM. Furthermore, no significant difference was found between the groups in terms of long-term survival. The 5-year overall survival rates were 29% and 26.8% (P = 0.719) and the 5-year cause-specific survival rates were 43.2% and 34.1% (P = 0.446) in patients with <15 eLNs and ≥15 eLNs, respectively.

CONCLUSIONS

We have demonstrated that octogenarians undergoing esophagectomy are associated with an unacceptably high POM, and less extensive lymph node resection does not decrease POM. Octogenarians may not benefit from esophagectomy with lymphadenectomy. Additional studies need to be conducted to further guide clinicians performing highly selective esophagectomy.

Skin melanoma survival is not superior in females in the new stage IIID of the 8th edition of the staging system: an analysis of data from the Surveillance, Epidemiology, and End Results (SEER) database

Background

In the 8th edition of the melanoma staging system, stage III was divided into stages IIIA-IIID. Previous studies have found that the long-term survival rate of females is much higher than that of males. This study was designed to explore whether this sex-specific advantage still exists in the new staging subgroups.

Methods

We obtained data from individuals diagnosed with skin melanoma between 2004 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. A total of 8,726 patients with stage III disease were enrolled in the study (5,370 males and 3,356 females). Among these patients, 505 had stage IIID disease (370 males and 135 females).

Results

In the 7th edition of the staging system, there were significant sex-specific differences in overall survival (OS) and melanoma-specific survival (MSS) in each subgroup of stage III. In stages IIIA-IIIC in the 8th edition, there were also significant differences between males and females (P<0.001), but in stage IIID patients, there were no significant differences in either OS (P=0.312) or MSS (P=0.288). Cox analysis confirmed that stage IIID does not affect prognosis in males. Further research found no difference between males and females with stage IIID disease in any age subgroup.

Conclusions

We compared sex-specific survival differences in patients with stage III disease according to the 8th edition of the staging system. Females with stage IIIA-IIIC disease have better survival rates than males. However, among patients with stage IIID disease, there is no significant difference in survival between males and females.