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Background Anal squamous cell carcinoma (ASCC) is the main subtype of anal cancer and has great heterogeneity in prognosis. We aimed to construct a nomogram for predicting their 1‐, 3‐, and 5‐year overall survival (OS) rates. Methods Patients with ASCC, enrolled between January 1, 2010 and December 31, 2017, were identified from the SEER database. They were divided into a training group and a validation group in a ratio of 7:3. Univariate and multivariate Cox analyses were used to identify the prognostic factors for OS. Then a prognostic nomogram was established and validated by Harrell consistency index (C‐index), area under the curve (AUC) of the receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Results We identified 761 patients in training group and 326 patients in validation group. Four prognostic factors including age, sex, AJCC stage, and radiotherapy were identified and integrated to construct a prognostic nomogram. The C‐index and AUC values proved the model's effectiveness and calibration plots manifested its excellent discrimination. Furthermore, in comparison to the AJCC stage, the C‐index, AUC, and DCA proved the nomogram to be of good predictive value. Finally, we constructed a risk stratification model for dividing patients into low‐risk, medium‐risk, and high‐risk groups, and there were obvious differences in OS. Conclusions A prognostic nomogram was firstly established for predicting the survival probability of ASCC patients and helping clinicians improve their risk management., First, from the SEER database, we identified the prognostic factors for anal squamous cell carcinoma (ASCC) patients and develop a nomogram to better predict the prognosis of ASCC patients. Secondly, through comparison, our predictive model is a further improvement of traditional AJCC staging system based on patient’s demographic and clinicopathological features not only in survival prediction, but also in clinical utility.

Objective We conducted this multicenter cohort study to evaluate the current tumor‐node‐metastasis staging system and treatment modality by analyzing the survival outcomes of patient groups with stage III and IV colon cancer. Patients and Methods Stage III and IV colon cancer patients from the Surveillance, Epidemiology, and End Results (SEER) database (SEER cohort) and prospectively maintained Sun Yat‐sen University (SYSU) cohort were included in this study. Kaplan‐Meier method was used to estimate the cumulative rate of overall survival (OS) between patient groups, and the inverse probability weighting method was used to calculated age and sex‐adjusted survival curves. The Cox regression model was used to identify the risk factors for OS. Results A total of 17,911 and 1135 stage III–IV cases were included in the SEER and SYSU cohorts, respectively. Among them, 1448 and 124 resectable stage IV cases underwent curative‐intent treatment in the SEER and SYSU cohorts, respectively. The T4N2b group showed a significantly worse survival outcome compared with the M1a subset receiving curative‐intent treatment (HR, 1.46; p, By analyzing the Surveillance, Epidemiology, and End Results database and in‐house cohorts, several stage III subgroups were identified in a high risk of death, especially the T4N2b group that had significantly worse overall survival than that of the M1a subset. When further categorized by risk factors, the survival of the high‐risk T4N2b patients was worse than that of the M1b subset.

Qiu Dong,1 Jialin Deng,2 Tsz Ngai Mok,1 Junyuan Chen,1 Zhengang Zha1 1Center for Bone, Joint and Sports Medicine, The First Hospital of Jinan University, Jinan University, Guangzhou, Guangdong, People’s Republic of China; 2School of Medicine, Jinan University, Guangzhou, Guangdong, People’s Republic of ChinaCorrespondence: Junyuan Chen; Zhengang ZhaCenter for Bone, Joint and Sports Medicine, The First Hospital of Jinan University, Jinan University, No. 613, Huangpu Avenue West, Guangzhou, 510515, Guangdong, People’s Republic of ChinaTel +86 134 8029 9854; +86 173 6182 0624Email chenjunyuan@jnu.edu.cn; zhazhengang1965@163.comBackground: Bone metastasis (BM) is the most common site of metastasis in non-small cell lung carcinoma (NSCLC). We aimed to construct and validate 2 novel nomograms predicting the 3-, 6-, and 12-months overall survival (OS) and cancer-specific survival (CSS).Methods: The clinical data of 7480 patients between 2010 and 2016 were enrolled from the Surveillance, Epidemiology, and End Results database (SEER). The patients were allocated randomly to training and validation cohorts in a 7:3 ratio. Cox proportional hazards regression models were used to identify prognostic risk factors and establish 2 nomograms. The prediction accuracy of nomograms was assessed by C-index, the area under the ROC curve (AUC), and calibration curves.Results: A total of 244998 NSCLC patients were identified between 2010 and 2016, with 7480 found with BM, accounting for 3.1%. Overall, 7480 patients were enrolled in the OS nomogram construction and were randomized to the training set (n = 5236) and the validation set (n = 2244). Age, sex, race, marital status, histology, grade, primary site, T stage, N stage, liver metastasis, surgery, radiotherapy, and chemotherapy were found to correlate with OS. A total of 7422 samples were included in the CSS nomogram construction, randomly grouped into training set (n = 5195) and the validation set (n = 2227). Age, sex, race, histology, grade, primary site, T stage, N stage, brain metastasis, liver metastasis, surgery, radiotherapy, and chemotherapy were associated with CSS. Two nomograms were conducted to predict the 3-, 6-, and 12-months OS and CSS. The ROC curves and exhibited good performance for predicting OS and CSS.Conclusion: We established and validated 2 high-performance nomograms to assist clinical doctors in making personalized treatment decisions.Keywords: lung cancer, metastasis, SEER, prognosis

Background There is limited and controversial evidence on the prognosis of partial nephrectomy (PN) versus radical nephrectomy (RN) in patients with T3aN0/xM0 renal cell carcinoma (RCC) upstaged from clinical T1 RCC. In this study, we aimed to assess the prognosis difference following PN versus RN in patients with ≤7 cm T3aN0/xM0 RCC. Methods From the Surveillance, Epidemiology, and End Results database, a total of 3196 patients receiving treatment of PN/RN for ≤7 cm T3aN0/xM0 RCC with only extrarenal fat extension in 2010–2017 were identified. An inverse probability of treatment weighting (IPTW)‐adjusted cause‐specific Cox model with hazard ratio (HR) and 95% confidence interval (CI) was used for overall survival (OS) and cancer‐specific survival (CSS) analyses. Sensitivity analysis was based on the propensity score matching of PN and RN groups and from the dataset of 2010–2013. Results A total of 872 patients underwent PN, compared with 2324 undergoing RN. After IPTW adjustment, there was no significant difference in preoperative baseline characteristics between the PN and RN cohorts. Patients who underwent RN had worse OS (HRIPTW‐adjusted, 1.46; 95% CI, 1.16–1.84; p = 0.001) and comparable CSS (HRIPTW‐adjusted, 1.03; 95% CI, 0.64–1.66; p = 0.890) than those receiving PN in all cohorts and subgroups with T3a RCC of ≤4 cm and perinephric fat extension. Further, in patients with 4–7 cm T3a RCC with perinephric‐fat invasion and all sizes of T3a RCC with sinus/perisinus fat extension, PN led to comparable OS and CSS. Sensitivity analyses validated these results. Conclusion PN provides comparable CSS and OS or even better OS than RN for patients with RCC ≤7 cm T3aN0/xM0. Although our study has some limitations, our results indicated that PN might oncologically safe for clinical T1 RCC, even confirmed a pathologically T3a upstaging post‐PN., In clinical practice, it is not uncommon that clinical T1 renal cell carcinoma (RCC) has undergone pathologically upgrades to T3a after partial nephrectomy (PN) due to the limited ability of current imaging modalities to accuracy to predict the T3a stage preoperative. This fact has led to a treatment strategy dilemma: choice of clinical observation (keep PN unchanged) versus conversion to radical nephrectomy (RN) for such pathologic upstaging post‐PN. Whether a transformation of RN could provide an excellent prognosis for patients with clinical T1 RCC upstages to pathological T3a RCC is still to be warranted. In our study, we sought to investigate the prognosis of PN versus RN in ≤7 cm T3aN0/xM0 RCC. And we found that PN provided a comparable and even better overall survival than RN for these patients.

Objective This study was designed to establish and validate promising and reliable nomograms for predicting the survival of angiosarcoma (AS) patients. Methods The Surveillance, Epidemiology, and End Results database was queried to collect the clinical information of 785 AS patients between 2004 and 2015. Data were split into a training cohort (n = 549) and a validation cohort (n = 236) without any preference. Univariate Cox and multivariate Cox regression analyses were performed to analyze the clinical parameters. Independent prognostic factors were then identified. Two nomograms were constructed to predict overall survival (OS) and cancer‐specific survival (CSS) at 3 and 5 years. Finally, the models were evaluated using concordance indices (C‐indices), calibration plots, and decision curve analysis (DCA). Results Based on the inclusion and exclusion criteria, 785 individuals were included in this analysis. Univariate and multivariate Cox regression analyses revealed that age, tumor size, and stage were prognostic factors independently associated with the OS of AS. Tumor site, tumor size, and stage were associated with the CSS of AS. Based on the statistical results and clinical significance of variables, nomograms were built. The nomograms for OS and CSS had C‐indices of 0.666 and 0.654, respectively. The calibration curves showed good agreement between the predictive values and the actual values. DCA also indicated that the nomograms were clinically useful. Conclusion We established nomograms with good predictive ability that could provide clinicians with better predictions about the clinical outcomes of AS patients., We constructed new and reliable nomograms with the clinical information obtained from the Surveillance, Epidemiology, and End Results database. Internal and external validation results suggested that our models had good prediction effects.

Jing Yan,1,2 Yue He,1 Ming Wang,1 Yumei Wu1 1Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University; Beijing Maternal and Child Health Care Hospital, Beijing, People’s Republic of China; 2Department of Gynecology, Fuxing Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Yumei WuDepartment of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University; Beijing Maternal and Child Health Care Hospital, Dongcheng District, Qi-He-Lou Street No. 17, Beijing, People’s Republic of ChinaEmail wym597118@ccmu.edu.cnObjective: The prognostic factors of cervical cancer in elderly patients have not been researched systematically. We aimed to investigate the clinicopathological characteristics of patients with cervical cancer aged ≥ 50 years and establish a nomogram for evaluating their prognoses for overall survival.Methods: From the Surveillance, Epidemiology, and End Results database, we obtained data of 8538 patients with pathology-confirmed cervical cancer between 2004 and 2015. Patients were divided into training (n = 5941) and validation (n = 2597) cohorts. A nomogram was constructed to evaluate the prognostic prediction value for disease progression. The concordance index, receiver operating characteristic curve, and calibration chart were used to evaluate the model’s prediction accuracy and discriminative ability. Survival condition was analyzed using the Kaplan–Meier method.Results: In the training cohort, age at diagnosis, race, histology, grade, stage, tumor size, number of examined lymph nodes, and treatment significantly correlated with outcome and were used to develop the nomogram. The calibration curve for survival probability showed an excellent agreement between the nomogram-predicted and actual survival in the training cohort.Conclusion: Our nomogram has less bias and gives better accuracy than the International Federation of Gynecology and Obstetrics staging system and can help set up a more individualized feasible follow-up plan.Keywords: prognosis, nomogram, cervical cancer, Surveillance, Epidemiology and End Results, SEER

Xiao Li,1,&ast; Zicheng Xu,1,&ast; Ting Xu,1,&ast; Feng Qi,1 Ninghong Song2 1Department of Urology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, 210009, People’s Republic of China; 2Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Feng QiDepartment of Urology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing, 210009, People’s Republic of ChinaEmail qf199408@163.comNinghong SongDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, People’s Republic of ChinaEmail songninghong@126.comBackground: To explore the baseline characteristics, pathological and survival outcomes of Asian-American patients with clear cell renal cell carcinoma (ccRCC), and make comparisons with White patients.Materials and Methods: In this study, patients diagnosed with ccRCC between 2010 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Basic characteristics of Asian-American patients were analysed and compared with White patients. Then, proportional mortality ratio (PMR) analyses were performed in Asian population to investigate the proportions of different cause of deaths (CODs), and make comparisons with White patients. Moreover, Kaplan–Meier (KM) analyses were developed to investigate the survival disparities of ccRCC patients between Asian-Americans and White patients. Finally, a competing risk regression model was constructed to identify potential prognostic factors for ccRCC patients in the whole population.Results: A total of 1586 Asian-American patients were eventually identified, and the median age at diagnosis was 61 years old. In Asian patients, those from South Asian had the youngest age at diagnosis (P< 0.001) and the earliest stage of diseases (localized: 76.83%, T1: 70.73%, all P< 0.05) when compared with other ethnicities. No significant differences were detected in tumor characteristics between Asian-Americans and White patients. Older age (P< 0.001), earlier stage (P< 0.001) and the administration of surgery (P=0.050) were tightly associated with a lower risk of dying of RCC in Asian-American patients. Additionally, Asian-American patients had comparable survival outcomes when compared with White patients. Lastly, competing risk regression model revealed that age at diagnosis (P< 0.001), tumor grade (P< 0.001), histological stage (P< 0.001), median household income (P< 0.001) and the administration of surgery (P< 0.001) were prognostic factors for cancer-specific survival (CSS) in ccRCC patients, while died of other causes was regarded as a competing event.Conclusion: Asian-American patients had similar tumor characteristics and survival outcomes with White patients. In Asian patients, those from South Asian had the youngest age at diagnosis and the earliest stage of diseases. Age, grade, histological stage, household income and surgery were identified to be closely related to CSS in ccRCC patients. In the future, prospective and well-designed studies are needed to verify our findings.Keywords: ccRCC, Asian-American, SEER, White, prognosis

Gong Feng,1 Wu-Bin Shu,2 A-Bing Li2 1School of Medicine, Ningbo University, Ningbo, Zhejiang, 315211, People’s Republic of China; 2Department of Orthopedics, Ningbo Yinzhou Second Hospital, Ningbo, 315100, Zhejiang, People’s Republic of ChinaCorrespondence: A-Bing LiDepartment of Orthopedics, Ningbo Yinzhou Second Hospital, Ningbo, Zhejiang, 315100, People’s Republic of ChinaTel +86-15088557621Email bing19890807@hotmail.comBackground: The aim of the study was to develop a nomogram to predict the overall survival (OS) of patients with solitary plasmacytoma of bone (SBP).Materials and Methods: Patients diagnosed with SBP between 1993 and 2012 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. All eligible patients were randomly allocated to the training sets and the validation sets. The nomogram was developed with the training set and validated with the validation set using the concordance index (C-index), calibration plots, and decision curve analyses (DCA).Results: Age, marital status, tumor grade, treatment were independent prognostic indicators for OS (P< 0.05) and were integrated to construct the nomogram. C-indexes for OS prediction in the training and validation sets were 0.78 and 0.73, respectively. The calibration plots demonstrated good consistency between the predicted and actual survival. DCA demonstrated that the new model has great benefits. In the total cohort, the median OS of patients in the low- and high-risk groups were 12.17 (95% CI 11.92– 12.42) and 3.92 (95% CI 2.83– 5.01) years, respectively.Conclusion: The nomogram showed excellent applicability and accuracy, which could be a reliable tool for predicting OS in SBP patients.Keywords: solitary bone plasmacytoma, cancer risk factors, SEER, nomogram

Yunxiao Liu, Hao Zhang, Mingyu Zheng, Chunlin Wang, Zhiqiao Hu, Yang Wang, Huan Xiong, BoYang Fan, Yuliuming Wang, Hanqing Hu, Qingchao Tang, Guiyu Wang Department of Colorectal Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of ChinaCorrespondence: Guiyu WangDepartment of Colorectal Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of ChinaTel +86-451-86296599Email guiywang@163.comPurpose: Distant metastasis (DM) is relatively rare in T1 colon cancer (CC) patients, especially in those with negative lymph node metastasis. The aim of this study was to explore the main clinical factors and build nomogram for predicting the occurrence and prognosis of DM in T1N0 colon cancer patients.Methods: Patients with T1N0 stage CC were collected from the Surveillance, Epidemiology, and End Result (SEER) database. All patients were divided into development and validation cohorts with the 3:1 ratio. Logistic regressions were performed to analyze the clinical risk factors for DM. Cox regression model was used to identify potential prognostic factors for patients with DM. The performance of nomogram was evaluated by concordance index (C-index), calibration curves, receiver operating characteristic (ROC) curves and decision curve analyses (DCAs). Based on cancer-specific survival (CSS), Kaplan–Meier curves were generated and analyzed using Log rank tests.Results: A total of 6770 patients were enrolled in this study, including 428 patients (6.3%) with DM. Age, size, grade, CEA were independent risk factors associated with DM. Age, grade, CEA, surgery and chemotherapy were independent prognostic factors for CSS. Nomograms were applied and C-index, calibration curves, ROC curves and DCA curves proved good discrimination, calibration and clinical practicability of the nomogram in predicting the occurrence and prognosis of DM in T1N0 CC patients. In the DM nomogram, the AUCs for development and validation cohort were 0.901 (95% CI = 0.879– 0.922) and 0.899 (95% CI=0.865– 0.940), respectively. The calibration curves (development cohort: S: p = 0.712; validation cohort: S: p = 0.681) showed the relatively satisfactory prediction accuracy. Similarly, the AUCs of the nomogram at 1-, 2-, and 3-year were 0.763 (95% CI=0.744– 0.782), 0.794 (95% CI=0.775– 0.813), and 0.822 (95% CI=0.803– 0.841) for the development cohort, and 0.785 (95% CI=0.754– 0.816), 0.748 (95% CI=0.717– 0.779) and 0.896 (95% CI=0.865– 0.927) for the validation cohort in the CSS nomogram. The C-indices of the development and validation cohort were 0.718 (95% CI=0.639– 0.737) and 0.712 (95% CI=0.681– 0.743).Conclusion: The population-based nomogram could help clinicians predict the occurrence and prognosis of DM in T1N0 CC patients and provide a reference to perform appropriate metastatic screening plans and rational therapeutic options for the special population.Keywords: T1N0 colon cancer, distant metastasis, nomogram, SEER

Background A universally acknowledged cancer staging system considering all aspects of the T‐, N‐, and M‐classifications for middle ear squamous cell carcinoma (MESCC) remains absent, limiting the clinical management of MESCC patients. Materials and Methods A total of 214 MESCC patients were extracted from the SEER (the Surveillance, Epidemiology, and End Results) database between 1973 and 2016. The relationships between patient’s characteristics and prognoses were analyzed by Kaplan–Meier and Cox proportional hazards regression models. Novel staging schemes for MESCC were designed by adjusted hazard ratio (AHR) modeling method according to the combinations of Stell’s T‐classification and the eighth AJCC N‐ and M‐classifications, of which performances were evaluated based on five criteria: hazard consistency, hazard discrimination, explained variation, likelihood difference, and balance. Results T‐classification was the most significant prognostic factor for MESCC patients in multivariable analysis (p = 0.021). The N‐ and M‐classifications also had obvious prognostic effect but were not statistically significant by multivariate analysis due to the limited metastasis events. Three novel staging schemes (AHR‐Ⅰ–Ⅲ models, different combination of T‐ and N‐classifications) and ST (solely derived from Stell’s T‐classification) were developed, among which the AHR‐Ⅰ staging scheme performed best. Conclusions Tumor extension, quantified by Stell’s T‐classification, is the most significant prognostic factor for MESCC patients. However, our AHR‐Ⅰ staging scheme, a comprehensive staging scheme that integrating T‐, N‐, and M‐classifications, might be an optimal option for clinical practitioners to predict MESCC patients’ prognosis and make proper clinical decisions., All of Stell’s T‐classification, N‐ and M‐classifications of the eighth AJCC staging system for head and neck cancer showed obvious prognostic effects in middle ear squamous cell carcinoma (MESCC) patients. Stell’s T‐classification is the most significant as well as an independent prognostic factor for MESCC patients. Our newly developed AHR‐Ⅰ staging scheme displayed better performance than the Stell’s T‐classification in almost all existing criterion, which stresses the importance of a comprehensive staging scheme integrating T‐, N‐, and M‐classifications for MESCC and provides a new perspective for clinical practitioner who solely rely on tumor extension for making clinical decisions.

Background Mixed cell ovarian adenocarcinoma (MCOA) is a malignant gynecologic tumor consisting of serous, mucous, and papillary tumor cells. However, the clinical features and prognosis of MCOA patients are unclear. Methods In this study, univariate and multivariate Cox proportional risk models were performed to identify independent prognostic factors. The Kaplan–Meier method was used to assess the relationship between clinical characteristics and patient survival. Finally, a nomogram was constructed and validated to predict patient survival time, and the C-index was used to evaluate the efficacy of the nomogram. Results A total of 2,818 patients diagnosed with MCOA were identified, and the 5-year survival rate was 62%. Univariate and multivariate Cox models suggested that age (HR=1.28, 95% CI[1.15,1.44]), grade (HR=1.26, 95% CI[1.12,1.41]), SEER stage (HR=1.63, 95% CI[1.25,2.13]) and AJCC (American Joint Committee on Cancer) stage (HR=1.59, 95% CI[1.36,1.86]) were independent prognostic factors for MCOA patients. After propensity score matching for age, grade, SEER stage, and AJCC stage, the 5-year survival rate was 69.7% for ovarian serous cystadenocarcinoma and 62.9% for ovarian papillary serous cystadenocarcinoma. These results mean that serous adenocarcinoma had the best prognosis of the three pathologic types of ovarian carcinoma (pp=0.712). Finally, a nomogram consisting of age, grade, SEER stage, and AJCC stage was established and validated to predict the survival time, with C-indices of 0.743 and 0.731, respectively. Conclusions In summary, MCOA is uncommon, and age, grade, SEER stage, and AJCC stage are independent prognostic factors. Compared with other common malignant ovarian tumors, MCOA has a poor prognosis.

Purpose Aims to compare the prognostic performance of the number of positive lymph nodes (PLNN), lymph node ratio (LNR) and log odds of metastatic lymph nodes (LODDS) and establish a prognostic nomogram to predict overall survival (OS) rate for patients with endometrial carcinosarcoma (ECS). Methods Patients were retrospectively obtained from Surveillance, Epidemiology and End Results (SEER) database from 2004 to 2015. The prognostic value of PLNN, LNR and LODDS were assessed. A prediction model for OS was established based on univariate and multivariate analysis of clinical and demographic characteristics of ECS patients. The clinical practical usefulness of the prediction model was valued by decision curve analysis (DCA) through quantifying its net benefits. Results The OS prediction accuracy of LODDS for ECS is better than that of PLNN and LNR. Five factors, age, tumor size, 2009 FIGO, LODDS and peritoneal cytology, were independent prognostic factors of OS. The C-index of the nomogram was 0.743 in the training cohort. The AUCs were 0.740, 0.682 and 0.660 for predicting 1-, 3- and 5-year OS, respectively. The calibration plots and DCA showed good clinical applicability of the nomogram, which is better than 2009 FIGO staging system. These results were verified in the validation cohort. A risk classification system was built that could classify ECS patients into three risk groups. The Kaplan-Meier curves showed that OS in the different groups was accurately differentiated by the risk classification system and performed much better than FIGO 2009. Conclusion Our results indicated that LODDS was an independent prognostic indicator for ECS patients, with better predictive efficiency than PLNN and LNR. A novel prognostic nomogram for predicting the OS rate of ECS patients was established based on the population in the SEER database. Our nomogram based on LODDS has a more accurate and convenient value for predicting the OS of ECS patients than the FIGO staging system alone.

Metastatic upper urinary tract urothelial carcinoma (mUTUC) is a relatively rare urothelial carcinoma, and little attention has been given to it. Our study established a nomogram by analyzing the prognostic factors of mUTUC to predict the survival of patients and revealed that the role of surgery at the primary tumor site. We extracted our data (2010–2016) from the Surveillance, Epidemiology, and End Results (SEER) database, and 628 patients with distant metastasis were identified. Propensity score matching (PSM) was used to balance the clinical variable bias in a 1:1 ratio. After PSM, we enrolled 502 patients in our study cohort. Univariate and multivariate Cox regression analyses and Kaplan–Meier curves showed that T stage, N stage, hepatic metastasis, surgery, and chemotherapy were prognostic factors for mUTUC before and after PSM. Based on the findings, a nomogram was constructed to predict the 12‐month survival of patients with distant metastasis. The analysis of subgroups of T stage, N stage, and different metastatic sites demonstrated that the survival of patients with T1/T2, N0/N1/N2/N3, metastasis including liver, and metastasis including bone could be improved by a combination of surgery and chemotherapy, while for the patients with T3/T4/TX, NX, metastasis including lung, and metastasis including distant lymph nodes, chemotherapy alone was a better choice to improve their overall survival. Radiotherapy has been proven to be useful for patients with N1/N2/N3 stage. We have provided more precise treatment strategies for stage IV patients. Our research fully affirms the role of surgery on primary site in UTUC patients with distant metastasis and the significance of classifying the patients into subgroups by integrating variables including T stage, N stage, and different metastatic sites to select the optimal treatment method., It is a research about prognostic factors of metastatic upper urinary tract urothelial carcinoma (mUTUC) including metastatic patterns, therapy modes, and T/N stage based on the data extracted from SEER database. It reveals that the role of surgery on primary site is significant in the treatment of metastatic upper urinary tract urothelial carcinoma.

Purpose The aim of this study was to establish individualized nomograms to predict survival outcomes in older female patients with stage IV breast cancer who did or did not undergo local surgery, and to determine which patients could benefit from surgery. Methods A total of 3,129 female patients with stage IV breast cancer aged ≥70 years between 2010 and 2015 were included in the Surveillance, Epidemiology, and End Results program. Multivariate Cox regression analysis was used to identify risk factors for overall survival (OS) and breast cancer-specific survival (BCSS). Survival analysis was performed using the Kaplan–Meier plot and log-rank test. Nomograms and risk stratification models were constructed. Results Patients who underwent surgery had better OS (HR = 0.751, 95% CI [0.668–0.843], P, Graphical abstract Image 1, Highlights • The effect of surgery in older patients with stage IV breast cancer (BC) is discussed. • The proportion of older patients with stage IV BC who underwent surgery declined. • A specific group of older patients with stage IV BC can benefit from surgery. • Nomograms can be used to predict the prognosis of older patients with stage IV BC.

Purpose Penile cancer is a rare male neoplasm with a wide variation in its global incidence. In this study, the prognostic value of lymph node ratio (LNR) was compared to that of positive lymph node count (PLNC) in penile squamous cell carcinoma. Methods A total of 249 patients with penile squamous cell carcinoma were enrolled from The Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. The X-tile program was used to calculate the optimal cut-off values of LNR and PLNC that discriminate survival. We used the χ2 or the Fisher exact probability test to assess the association between clinical-pathological characteristics and LNR or PLNC. Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors for survival. Spearman correlation analysis was used to determine the correlation between LNR and PLNC. Results We found that patients with high LNR tended to have advanced N stage, the 7th AJCC stage, and higher pathological grade, while patients with high PLNC had advanced N stage and the 7th AJCC stage. Univariate Cox regression analysis revealed that the N stage, M stage, the 7th AJCC stage, lymph-vascular invasion, LNR, and PLNC were significantly associated with prognosis. Multivariate Cox regression analysis demonstrated that LNR rather than PLNC was an independent prognostic factor for cancer-specific survival. Subgroup analysis of node-positive patients showed that LNR was associated with CSS, while PLNC was not. Conclusion LNR was a better predictor for long-term prognosis than PLNC in patients with penile squamous cell carcinoma.

Background Although primary splenic lymphoma (PSL) is rare, it ranks first among splenic primary malignant cancers, and the incidence of lymphoma of spleen has gradually increased in recent years. However, the efficacy of surgery for PSL has not been clinically verified by large sample data, which has affected the formulation of relevant guidelines. Aim To assess whether surgery can enhance the prognosis PSL patients. Methods Extracted the data of patients with PSL from The Surveillance, Epidemiology, and End Results (SEER) database, and divided the patients into surgery and non‐surgery group. Kaplan–Meier curves and log‐rank tests were used to compare the overall survival (OS) and cancer‐specific survival (CSS). The propensity score matching (PSM) was used to match the data, then compared the OS and CSS again. The COX proportional hazard regression model was used for univariate and multivariate analysis. Finally, we performed subgroup analysis in different Ahmann stages. Results A sum of 2207 patients with PSL were enrolled, of which 1062 (48.1%) patients received surgery, and 1145 (51.9%) patients did not undergo surgery. Overall, patients in the surgery group had better OS and CSS. After the propensity scores matching, surgery was not statistically significant in OS and CSS. In the subgroup analysis, surgery was a protective factor for the OS and CSS in Ahmann I/II. However, surgery was no statistical significance in OS and CSS in Ahmann III. In patients with Ahmann Ⅰ/Ⅱ SMZL, surgery was a protective factor for OS and CSS. In patients with Ahmann Ⅲ SMZL, surgery was also statistically significant of OS and CSS. Conclusions Surgery can significantly improve the prognosis of patients with Ahmann Ⅰ/Ⅱ primary splenic lymphoma, but there was no survival difference in the Ahmann Ⅲ patients with or without surgery. For patients with SMZL, surgery was effective for improving OS and CSS., Surgery can significantly improve the prognosis of patients with Ahmann Ⅰ/Ⅱ primary splenic lymphoma, but there was no survival difference in the Ahmann Ⅲ patients with or without surgery.

Background Previous studies have shown that marital status was associated with stages and survival in patients with melanoma or Merkel cell carcinoma. To date, the impacts of marital status on stage and survival in patients with mycosis fungoides (MF) have not been determined yet. Methods A total of 3375 eligible cases diagnosed from 2004 to 2015 were included from the Surveillance, Epidemiology, and End Results (SEER) database. Association of marital status with stage and survival in patients with MF was analyzed. Results Married patients were more likely to be diagnosed at T1 stage (p = 0.041). And married patients were less likely to present with lymph node involvement (p = 0.007). More favorable overall survival (p, We found that married marital status was associated with earlier stage at diagnosis and longer survival compared with divorced or widowed marital status. A validated prognostic model that could be potentially used to stratify the patients with mycosis fungoides and guide clinical decision was constructed. Our study highlights the importance of inclusion of marital status as a prognostic factor in mycosis fungoides.

Background The role of postoperative radiotherapy (PORT) in cardiovascular-pulmonary disease mortality in patients with stage IIIA-N2 resected non-small cell lung cancer (NSCLC) remains uncertain. The purpose of this population-based analysis was to explore the effect of PORT on cardiovascular-pulmonary disease mortality in these patients. Methods Patients aged ≥ 18 years with stage IIIA-N2 resected NSCLC were identified in the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2015 and were grouped according to the use of PORT. Propensity score matching (PSM) was used to account for differences in baseline characteristics between the Non-PORT and PORT groups. The cumulative risk for cardiovascular-pulmonary disease death was estimated using the cumulative incidence curve. Competing risk regression was used to run univariate and multivariate analyses to evaluate risk factors. Results A total of 3981 patients were included in the study population. Among them, 1446 patients received PORT, and 2535 did not. A total of 1380 patients remained in each group after PSM, and the baseline characteristics were not significantly different between the two groups. The cumulative incidence of cardiovascular-pulmonary mortality was 10.93% in the Non-PORT group compared with 9.85% in the PORT group. There was no significant difference in the cumulative risk between the two groups (HR 1.07, 95% CI 0.77–1.48, p = 0.703). Multivariate analysis indicated that PORT had no significant impact on increased risk, with an HR of 1.18 (p = 0.377). Conclusions No significant differences between the PORT and Non-PORT groups were found in cardiovascular-pulmonary-specific modalities in this study. Further studies are required to validate these results. This study highlights the importance of long-term surveillance for NSCLC patients.

Xiaoqiang Liu,1 Shaoya He,2 Xi Yao,1 Tianyang Hu3 1Department of Orthopedic Surgery, Anyue County People’s Hospital, Sichuan, People’s Republic of China; 2Department of Gastroenterology, Anyue County People’s Hospital, Sichuan, People’s Republic of China; 3Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of ChinaCorrespondence: Tianyang HuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, 74 Linjiang Road, Yuzhong District, Chongqing, 400010, People’s Republic of ChinaTel +8623-63693222Email hutianyang@stu.cqmu.edu.cnBackground: The aim of the current study was to construct prognostic nomograms for individual risk prediction in elderly patients with osteosarcoma.Methods: Data for 816 elderly patients (≥ 40 years old) with osteosarcoma between 2004 and 2016 from the Surveillance, Epidemiology, and End Results (SEER) database were randomly assigned to training (N=573) and internal validation (N=243) sets. The essential clinical predictors were identified based on least absolute shrinkage and selection operator (Lasso) Cox regression. Nomograms were constructed to predict the 1-, 3-, and 5-year cancer-specific survival (CSS) and overall survival (OS).Results: Our LASSO regression analyses of the training set yielded five clinicopathological features (age, chemotherapy, surgery, AJCC stage, and summary stage) in the training cohort for the prognosis of elderly patients with osteosarcoma, while grade was only associated with OS and M stage was only associated with CSS. Construction of nomograms based on these predictors was performed to evaluate the prognosis of elderly patients with osteosarcoma. The C-index, calibration and decision curve analysis also showed the satisfactory performance of these nomograms for prognosis prediction.Conclusion: The constructed nomograms are helpful tools for exactly predicting the prognosis of elderly patients with osteosarcoma, which could enable patients to be more accurately managed in clinical practice.Keywords: osteosarcoma, elderly, SEER, nomograms, prognosis, risk management

Background Brain metastases were rare in esophageal cancer patients. Using the Surveillance, Epidemiology, and End Results (SEER) database, the present study investigated the incidence, risk and prognostic factors of brain metastases in esophageal cancer patients. Methods Retrieving esophageal cancer patients diagnosed between 2010 and 2018 from the SEER database, univariable and multivariable logistic and cox regression models were used to investigate the risk factors for brain metastases development and prognosis, respectively. The brain metastases predicting nomogram was constructed, evaluated and validated. The overall survival (OS) of patients with brain metastases was analyzed by Kaplan–Meier method. Results A total of 34,107 eligible esophageal cancer patients were included and 618 of them were diagnosed with brain metastases (1.8%). The median survival of the brain metastatic esophageal cancer patients was 5 (95% CI: 5–7) months. The presence of bone metastases and lung metastases were the homogeneously associated factors for the development and prognosis of brain metastases in esophageal cancer patients. Patients younger than 65 years, American Indian/Alaska Native race (vs. White), overlapping lesion (vs. Upper third), esophageal adenocarcinoma histology subtype, higher N stage, and liver metastases were positively associated with brain metastases occurrence. The calibration curve, ROC curve, and C-index exhibited good performance of the nomogram for predicting brain metastases. Conclusions Homogeneous and heterogeneous factors were found for the development and prognosis of brain metastases in esophageal cancer patients. The nomogram had good calibration and discrimination for predicting brain metastases.

Yanxiang Shao,1,&ast; Xiang Tu,1,&ast; Yang Liu,1,&ast; Yige Bao,1 Shangqing Ren,1,2 Zhen Yang,1,3 Xu Hu,1 Kan Wu,1 Hao Zeng,1 Qiang Wei,1 Xiang Li1 1Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, People’s Republic of China; 2Robotic Minimally Invasive Surgery Center, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, People’s Republic of China; 3Department of Urology, Chengdu Second People’s Hospital, Chengdu, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xiang LiDepartment of Urology, West China Hospital, Sichuan University, 37 GuoXueXiang, Chengdu, Sichuan, People’s Republic of ChinaTel +86 18980601428Email xiangli87@hotmail.comObjective: To investigate the predictive factors of lymph node metastasis (LNM) and evaluate the usefulness of prediction nomograms.Methods: This study included 300 patients diagnosed with penile squamous cell carcinoma at West China Hospital (WCH) of Sichuan University (Chengdu, China) and 412 cases acquired from the Surveillance, Epidemiology, and End Results (SEER) program. Logistic regression analysis was performed on these cohorts to investigate the predictive factors of LNM. We evaluated a recently developed prediction nomogram for LNM, which was established based on the National Cancer Database (NCDB). Moreover, we developed a novel nomogram using cases from the WCH for the prediction of lymphatic metastasis.Results: Logistic analysis identified that younger age at diagnosis, invasion of the penis body, poorer pT stage, cN stage, nuclear grade and the presence of lymph vascular invasion (LVI) were significantly correlated with LNM in WCH cases; however, only race, poorer T stage and cN stage were significantly associated with LNM among the cases from the SEER. Multivariate analysis demonstrated that younger age, poorer T stage, cN stage and nuclear grade were independent predictors of LNM. Receiver operating characteristic curve analysis of WCH cases showed that the tumor T stage 8th edition has better area under the curve than 7th stage (0.672 vs 0.636, respectively). Moreover, well AUC was seen in external validation of NCDB nomogram in WCH cohorts and SEER series (0.833 vs 0.795). The new nomogram included the aforementioned independent predictors and the bootstrap-corrected concordance was 0.876.Conclusion: Younger diagnose age, poorer pT stage, cN stage, nuclear grade and LVI were the most important predictors of LNM in patients with penile cancer. 8th T stage performed better than 7th version in predicting LNM. NCDB nomogram has some application values in both WCH and SEER cases, and our novel model further improved the predictive accuracy.Keywords: penile cancer, lymph node metastasis, prediction model, nomogram, SEER

Background The prognostic factors for survival in patients with ependymoma (EPN) remain controversial. The aim of this study was to establish a prognostic model for 5‐ and 10‐year survival probability nomograms for patients with EPN. Methods Clinical data from the Surveillance, Epidemiology, and End Results (SEER) database were used for patients diagnosed with ependymoma between 2000 and 2018 and were randomized 7:3 into a development set and a validation set. Factors significantly associated with prognosis were screened out using the least absolute shrinkage and selection operator (LASSO) regression. The calibration chart and consistency index (C‐index) are used to evaluate the discrimination and consistency of the prediction model. Decision curve analysis (DCA) was used to further evaluate the established model. Finally, prognostic factors selected by LASSO regression were evaluated using Kaplan–Meier (KM) survival curves. Results A total of 3820 patients were included in the prognostic model. Seven survival predictors were obtained by LASSO regression screening, including age, gender, morphology, location, size, laterality, and resection. The prognostic model of the nomogram showed moderate discriminative ability in the development group and the validation group, with a C‐index of 0.642 and 0.615, respectively. In the development set and validation set survival curves, the prognosis index of high risk was less effective than low risk (p, Prognostic factors in patients with ependymoma (EPN) remain controversial. Based on the SEER database, we constructed prognosis models for EPN 5‐year and 10‐year survival rates. It may provide a reference for clinicians to personalized treatment.

Shengwei Tian,1,2,&ast; Si Sun,1,2,&ast; Weipu Mao,1,2,&ast; Siwei Qian,1,2 Lei Zhang,1,2 Guangyuan Zhang,1,2 Bin Xu,1,2 Ming Chen1– 3 1Department of Urology, Zhongda Hospital, Southeast University, Nanjing, 210009, People’s Republic of China; 2Surgical Research Center, Institute of Urology, Southeast University Medical School, Nanjing, 210009, People’s Republic of China; 3Department of Urology, Nanjing Lishui District People’s Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, 211200, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Bin Xu; Ming ChenDepartment of Urology, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Hunan Road, Gulou District, Nanjing, 210009, People’s Republic of ChinaTel +86-18012949196; +86-13913009977Email njxb1982@126.com; mingchenseu@126.comBackground: The aim of this study was to establish a nomogram model to evaluate the prognosis of early-onset kidney cancer (EOKC) in terms of overall survival (OS) and cancer-specific survival (CSS).Methods: Patients with EOKC diagnosed between 2004 and 2015 were collected from Surveillance, Epidemiology and End Results (SEER) and randomly assigned to the training and validation set at a ratio of 2 to 1. Important variables for constructing nomograms were screened by univariate and multivariate Cox analysis. The nomogram model was evaluated using concordance index (C-index), decision curve analysis (DCA) curves, and receiver operating characteristic (ROC) curves.Results: A total of 12,526 EOKC patients were included in the study. OS nomogram was constructed based on gender, age, race, grade, AJCC stage, TNM stage, histology, chemotherapy and radiotherapy. CSS nomogram was constructed based on listed above except gender. In the external validation, the C-index for the OS nomogram was 0.855 (95% CI 0.834– 0.976), and the C-index for the CSS nomogram was 0.938 (0.925– 0.951). High-quality calibration curves were noted in both OS and CSS nomogram models. ROC and DCA curves showed that nomograms had better predictive performance than TNM stage and SEER stage.Conclusion: The nomogram model provides an applicable tool for evaluating the OS and CSS prognosis of EOKC.Keywords: early-onset kidney cancer, nomogram, OS, CSS, SEER

Race/ethnicity may predispose to less favorable prostate cancer characteristics in intermediate risk prostate cancer (IR PCa) patients. We tested this hypothesis in a subgroup of IR PCa patients treated with radical prostatectomy (RP). We relied on the Surveillance, Epidemiology and End Results 2004–2016. The effect of race/ethnicity was tested in univariable and multivariable logistic regression analyses predicting upstaging (pT3+/pN1) and/or upgrading (Gleason Grade Group [GGG] 4–5) at RP. Of 20,391 IR PCa patients, 15,050 (73.8%) were Caucasian, 2857 (14.0%) African-American, 1632 (8.0%) Hispanic/Latino and 852 (4.2%) Asian. Asian patients exhibited highest age (64 year), highest PSA (6.8 ng/ml) and highest rate of GGG3 (31.9%). African-Americans exhibited the highest percentage of positive cores at biopsy (41.7%) and the highest proportion of NCCN unfavorable risk group membership (54.6%). Conversely, Caucasians exhibited the highest proportion of cT2 stage (35.6%). In univariable analyses, Hispanic/Latinos exhibited the highest rates of upstaging/upgrading among all race/ethnicities, in both favorable and unfavorable groups, followed by Asians, Caucasians and African-Americans in that order. In multivariable analyses, Hispanic/Latino race/ethnicity represented an independent predictor of higher upstaging and/or upgrading in favorable IR PCa (odds ratio [OR] 1.27, p

Background Optic nerve astrocytomas (ONAs) are neurological neoplasms in the central nervous system (CNS), and they have the highest incidence rate among all the tumor types in the visual pathway. In this study, we conducted a Surveillance, Epidemiology, and End Results (SEER) -based research to explore the demographic, survival, and prognostic factors of patients diagnosed with ONAs. Methods Utilizing the SEER database, we retrospectively evaluated data of patients diagnosed with ONAs of all ages from 1984 to 2016. We used the Student’s t distribution to test variables of patients and various characteristics, and Kaplan-Meier curve to illustrate overall survival (OS) with 95.0% confidence intervals (CIs). We also performed univariate and multivariate analyses to evaluate various variables’ validity on overall survival. Results A total of 1004 cases were analyzed, and revealed that age (PP = 0.046, HR = 1.563, 95% CI: 1.008–2.424) of the tumor were associated with decreased survival. Conclusions From this large, comparative study of ONAs, we found that younger age may be considered as a protective indicator, while high-grade astrocytic tumors have a worse prognosis. We also found that diagnostic confirmation and tumor grade were independent prognostic factors in this patient population.

Purpose The objective of our study was to investigate the epidemiologic characteristics and prognostic factors in patients with pulmonary acinar cell carcinoma (PACC). Methods PACC patients diagnosed between 1975 and 2016 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. The trend in PACC incidence was assessed using joinpoint regression software. Overall survival (OS) and disease‐specific survival (DSS) were evaluated using the Kaplan–Meier method and log‐rank test. Univariate and multivariate Cox regression analysis was performed to identify the independent prognostic factors for OS and DSS. Nomograms to predict survival possibilities were constructed based on the identified independent prognostic factors. Results A total of 2918 patients were identified with PACC. The mean age was 65.2 ± 8.95 years with a female to male of 1.6:1. The incidence of PACC steadily increased by an annual percentage change (APC) of 3.2% (95% CI 2.1–4.4, p, 2918 PACC patients diagnosed between 1975 and 2016 were identified from the SEER database. We evaluated overall survival (OS) and disease‐specific survival (DSS) respectively. Nomograms were constructed based on the identified independent prognostic factors identified by univariate and multivariate Cox regression analysis.

Ning Li,1,&ast; Li-Wen Feng,2,&ast; Zuo-Nong Li,1 Jin Wang,1 Lu Yang1,3 1Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People’s Republic of China; 2Department of Breast Surgery, Zhongshan Torch Development Zone Hospital, Zhongshan, 528403, People’s Republic of China; 3Department of Radiotherapy, Guangdong Provincial People’s Hospital and Guangdong Academy of Medical Sciences School of Medicine, South China University of Technology, Guangzhou, 510080, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Lu Yang; Jin Wang Email yanglu_2021@126.com; wangjin1@sysucc.org.cnPurpose: Young age is an independent negative predictor of breast cancer (BC) survival and correlates with the risk of local recurrence and contralateral BC. We aimed to design an effective and comprehensive nomogram to predict prognosis in very young patients with curatively resected BC.Methods: Female patients with a diagnosis of BC aged ≤ 35 years at presentation were identified from the SEER database as a training cohort. The validation cohort consisted of 1002 consecutive women with BC aged ≤ 35 years that had received curative resection for BC at the Sun Yat-sen University Cancer Center. A nomogram was built based on the identified variables in multivariate Cox proportional hazards model. The performance of the nomogram was quantified using Harrell’s concordance index (C-index) and calibration curves.Results: Overall, 10,872 young female patients who underwent surgery for BC were enrolled in the training cohort, while 1002 very young female BC patients were identified as independent validation cohort. Eight covariables (age, race, grade; ER, PR, and HER2 status; T, and N stages) were identified and incorporated to construct a nomogram. The C-index values of the nomogram were 0.727 (95% CI: 0.714– 0.740) and 0.722 (95% CI: 0.666– 0.778) for OS in the training and validation cohorts, respectively. The calibration curves showed a high degree of agreement between the predicted and actual observed survival rates in both training and validation cohorts. The nomogram displayed good calibration and acceptable discrimination. Based on the TPS of the nomogram model for OS with the X-tile program, patients were divided into 3 risk groups, which were easily discriminated on survival analyses for OS.Conclusion: We have successfully constructed an effective nomogram to predict survival outcomes for young female patients with curatively resected BC, which may provide individual survival prediction to benefit prognosis evaluation and individualized therapy.Keywords: young, breast cancer, prognosis, nomogram, SEER

Purpose The present study aimed to identify independent clinicopathological and socio-economic prognostic factors associated with overall survival of early-onset colorectal cancer (EO-CRC) patients and then establish and validate a prognostic nomogram for patients with EO-CRC. Methods Eligible patients with EO-CRC diagnosed from 2010 to 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly divided into a training cohort and a testing cohort. Independent prognostic factors were obtained using univariate and multivariate Cox analyses and were used to establish a nomogram for predicting 3- and 5-year overall survival (OS). The discriminative ability and calibration of the nomogram were assessed using C-index values, AUC values, and calibration plots. Results In total, 5585 patients with EO-CRC were involved in the study. Based on the univariate and multivariate analyses, 15 independent prognostic factors were assembled into the nomogram to predict 3- and 5-year OS. The nomogram showed favorable discriminatory ability as indicated by the C-index (0.840, 95% CI 0.827–0.850), and the 3- and 5-year AUC values (0.868 and 0.84869 respectively). Calibration plots indicated optimal agreement between the nomogram-predicted survival and the actual observed survival. The results remained reproducible in the testing cohort. The C-index of the nomogram was higher than that of the TNM staging system (0.840 vs 0.804, P Conclusion A novel prognostic nomogram for EO-CRC patients based on independent clinicopathological and socio-economic factors was developed, which was superior to the TNM staging system. The nomogram could facilitate postoperative individual prognosis prediction and clinical decision-making.

Purpose To discuss whether the dome or anterior wall of bladder adenocarcinoma (BAC) should be classified into urachal carcinoma (UrC) and the relationship of primary tumor location (PTL) as well as treatment with survival. Methods Surveillance, Epidemiology, and End Results 18 database was examined for eligible patients from 1975 to 2016. Patients were classified into adenocarcinoma originating from the urachus (UAC), the dome (D‐BAC), the anterior wall (A‐BAC), and the other sites adenocarcinoma of the bladder (O‐BAC). The clinicopathological features, treatment, and survival were compared among the groups. Results Comparable clinicopathologic features were obtained between UAC and D‐BAC, which were different from those of A‐BAC and O‐BAC; otherwise, the latter two had similar clinicopathologic features. Univariable and multivariable Cox regression analyses indicated that PTL was an independent predictor for survival. O‐BAC conferred the worst prognosis then followed by A‐BAC, D‐BAC, and UAC. For non‐metastatic UAC or D‐BAC, partial cystectomy (with an en bloc resection of the urachus and umbilicus) is optimal for survival. However, the worse survival of non‐metastatic D‐BAC (compared with UAC) suggested different modalities, maybe more intensive surgery approaches, should be considered for D‐BAC. Conclusion This study illustrates that PTL of UAC and BAC was an independent predictor for survival. A‐BAC had comparable characters and prognosis with O‐BAC and should not be classified into and treated as UrC. For non‐metastatic disease, non‐metastatic D‐BAC may need more intensive modality., Anterior wall of bladder adenocarcinoma (A‐BAC) had comparable characters and prognosis with other sites of bladder adenocarcinoma, while dome adenocarcinoma of the bladder is similar to urachal adenocarcinoma arising from the urachus. A‐BAC should be classified into and treated as BAC, instead of urachal carcinoma.

Background The incidence rate of adenocarcinoma of the oesophagogastric junction (AEG) has significantly increased over the past decades, with a steady increase in morbidity. The aim of this study was to explore a variety of clinical factors to judge the survival outcomes of AEG patients. Methods We first obtained the clinical data of AEG patients from the Surveillance, Epidemiology, and End Results Program (SEER) database. Univariate and least absolute shrinkage and selection operator (LASSO) regression models were used to build a risk score system. Patient survival was analysed using the Kaplan-Meier method and the log-rank test. The specificity and sensitivity of the risk score were determined by receiver operating characteristic (ROC) curves. Finally, the internal validation set from the SEER database and external validation sets from our center were used to validate the prognostic power of this model. Results We identified a risk score system consisting of six clinical features that can be a good predictor of AEG patient survival. Patients with high risk scores had a significantly worse prognosis than those with low risk scores (log-rank test, P-value Conclusions Our results may provide new insights into the prognostic evaluation of AEG.

Haibo Teng,1,&ast; Zhiyong Liu,1,&ast; Ouying Yan,2 Wenbo He,1 Danyang Jie,3 Yuanwei Qie,4 Jianguo Xu1 1Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, People’s Republic of China; 2The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, People’s Republic of China; 3West China School of Medicine, West China Hospital, Sichuan University, Chengdu, People’s Republic of China; 4Health Management Center of West-China Fourth Hospital, Sichuan University, Chengdu, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jianguo XuDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, People’s Republic of ChinaEmail xujg@scu.edu.cnBackground: Craniopharyngiomas (CPs) are relatively rare benign tumor located in the central nervous system (CNS). This study investigates the related risk factors of survival of craniopharyngiomas and develops a simple but detailed method predicting prognosis based on the Surveillance, Epidemiology, and End Results (SEER) database in order to improve the clinic management of CPs.Methods: Between 2004 and 2017, 1213 patients diagnosed with craniopharyngiomas registered at the program and were included in the SEER-21 registry database. Overall survival (OS) curves were plotted with the Kaplan–Meier method and significance was determined by Log rank test. Single- and multiple-factor regression analyses were made using Cox proportional hazards model to identify independent predictors related to OS. Subsequently, we developed a nomogram with those factors to predict 3-, 5- and 10-year OS of craniopharyngiomas patients.Results: We identified 1213 patients with craniopharyngioma. The OS rates at 3, 5, and 10 years after diagnosis were 89.1%, 86.2%, and 83%. Age, ethnicity, tumor size and radiation therapy were confirmed to be predictors correlating with OS at initial diagnosis. In multivariate analysis, we found that younger age (P< 0.001), smaller tumor size (P< 0.001), white ethnicity (P< 0.001) and radiation therapy (P=0.004) were the factors that remained significantly associated with better survival. A nomogram was successfully constructed and validated by ROC, calibration plots and C-index of 0.773 (95% CI, 0.708– 0.838).Conclusion: The well-calibrated nomogram is the first clinical prediction model for predicting the prognosis for patients with craniopharyngiomas at initial diagnosis. Our study indicates that the surgical effect is not clear. Younger white patients with radiotherapy have a better prognosis, and the gross total resection (GTR) was not effective in prolonging the OS of a patient compared to no surgery and subtotal resection (STR).Keywords: craniopharyngioma, nomogram, overall survival, SEER

Introduction There are numerous types of surgery for patients with primary gastric tumour, which can be summarized as radical surgery or palliative surgery. Different surgical procedures will have further effects for different stage of patients. Aim We will use the resources of the SEER database (2010-2015) to explore the therapeutic value of surgery and prognostic factors. Material and methods Kaplan-Meier analysis/log-rank testing for data analysis and multivariate analysis was conducted through a Cox proportional model. Results Fourteen thousand five hundred and seven cases of primary gastric tumours identified in the period from 2010 to 2015. In a multivariate cox regression analysis, the following factors were associated with better primary gastric patients survival (Surgical method, Age at diagnosis, histological grade). Through Kaplan-Meier analysis (p < 0.005) we also found that for the patient group the survival rate of using gastrectomy (partial, subtotal, hemi-) surgery is the lowest. Conclusions Among patients with multivariate Cox regression model, type of surgery, age at diagnosis, and histological grade were the top 3 factors affecting patient survival. In palliative surgery, laser excision is the best surgical method of local tumour excision, and the survival of patients of this group is obviously better than in other groups. In radical surgery, near-total gastrectomy and radical gastrectomy, in continuity with the resection of other organs, are better surgical methods, while gastrectomy (partial, subtotal, hemi-) is the worst type of surgery in terms of prognosis, and even the survival rate in the later stage (after 3 years) is worse than in the group without surgery.

Background Studies on the epidemiology and prognosis of primary breast lymphoma (PBL) are lack for low incidence. Therefore, we aimed to investigate the epidemiological characteristics of PBL and develop nomograms to predict patient survival. Methods Data of patients who were diagnosed with PBL from 1975 to 2011 and incidence rate of PBL from 1975 to 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Time-varying multivariable Cox regression analysis was performed to identify independent prognostic factors for overall survival (OS) and disease-specific survival (DSS). Nomograms were constructed based on the independent prognostic factors identified in multivariate Cox regression analysis. Results A total of 1427 patients diagnosed with PBL were identified with the average age of 67.1 years. The overall incidence of PBL is 1.35/1,000,000 (adjusted to the United States standard population in 2000) from 1975 to 2017, with a significant upward trend by an annual percentage change (APC) of 2.91 (95%CI 2.29–3.94, P, Highlights • The incident of PBL was calculated. • Nomograms were constructed to predict OS and DSS. • Patients are divided into the low-risk, medium-risk, and high-risk.

BackgroundBecause there is no exact therapeutic target, the systemic treatment of triple-negative breast cancer (TNBC) still relies on chemotherapy. In terms of local treatment, based on the highly malignant characteristics of TNBC, it is still uncertain whether patients should be given more aggressive local treatment.MethodsThis study was based on the SEER database. 13,262 TNBC patients undergoing chemotherapy were included. According to local treatment methods, patients were divided into breast-conserving surgery with radiotherapy (BCS + RT), total mastectomy alone and total mastectomy with radiotherapy (Mastectomy+RT). Kaplan-Meier survival analysis drew the survival curves of Overall Survival (OS) and Breast Cancer Specific Survival (BCSS), and Cox proportional risk regression models were used to analyze the impact of different local treatments on OS and BCSS.ResultsAfter adjusting confounding factors, Mastectomy alone group (HR = 1.57; 95%CI: 1.40–1.77) and Mastectomy+RT group (HR = 1.28; 95%CI: 1.12–1.46) were worse in OS than BCS + RT group, and Mastectomy+RT group (HR = 0.81; 95%CI: 0.73–0.91) was better in OS than Mastectomy alone group. The effect of local treatment for BCSS was similar to that of OS. After stratification according to age, tumor size and lymph node status, when the age was less than 55 years old, at T4, N2 or N3 category, there was no statistical significance between the BCS + RT group and the Mastectomy+RT group in OS or BCSS (allP > 0.05). When the age was less than 65 years old, at T1, T2 or N0 category, there was no statistical significance between the Mastectomy alone group and the Mastectomy+RT group in OS or BCSS (allP > 0.05). The results of other stratified analyses were basically consistent with the results of total population analysis.ConclusionThe survival benefit of breast-conserving surgery with radiotherapy was higher than or similar to that of total mastectomy TNBC patients.

Background Current studies on the number of removed lymph nodes (LNs) and their prognostic value in small-bowel neuroendocrine tumors (SBNETs) are limited. This study aimed to clarify the prognostic value of removed LNs for SBNETs. Methods SBNET patients without distant metastasis from 2004 to 2017 in the SEER database were included. The optimal cutoff values of examined LNs (ELNs) and negative LNs (NLNs) were calculated by the X-tile software. Propensity score matching (PSM) was done to match patients 1:1 on clinicopathological characteristics between the two groups. The Kaplan-Meier method with log-rank test and multivariable Cox proportional-hazards regression model were used to evaluate the prognostic effect of removed LNs. Results The cutoff values of 14 for ELNs and 9 for NLNs could well distinguish patients with different prognoses. After 1:1 PSM, the differences in clinicopathological characteristics between the two groups were significantly reduced (all P > 0.05). Removal of more than one LN significantly improved the prognosis of the patients (P < 0.001). The number of lymphatic metastasis in the sufficiently radical resection group (SRR, 3.74 ± 3.278, ELN > 14 and NLN > 9) was significantly more than that in the insufficiently radical resection group (ISRR, 2.72 ± 3.19, ELN < 14 or NLN < 9). The 10-year overall survival (OS) of the SRR was significantly better than that of the ISRR (HR = 1.65, P = 0.001, 95% CI: 1.24–2.19). Conclusion Both ELNs and NLNs can well predict the OS of patients. Systematic removal of more than 14 LNs and more than 9 NLNs can increase the OS of SBNET patients.

Introduction Parotid‐gland carcinoma (PGC) is a relatively rare tumor that comprises a group of heterogeneous histologic subtypes. We used the Surveillance, Epidemiology, and End Results (SEER) program database to apply a competing‐risks analysis to PGC patients, and then established and validated predictive nomograms for PGC. Methods Specific screening criteria were applied to identify PGC patients and extract their clinical and other characteristics from the SEER database. We used the cumulative incidence function to estimate the cumulative incidence rates of PGC‐specific death (GCD) and other cause‐specific death (OCD), and tested for differences between groups using Gray's test. We then identified independent prognostic factors by applying the Fine–Gray proportional subdistribution hazard approach, and constructed predictive nomograms based on the results. Calibration curves and the concordance index (C‐index) were employed to validate the nomograms. Results We finally identified 4,075 eligible PGC patients who had been added to the SEER database from 2004 to 2015. Their 1‐, 3‐, and 5‐year cumulative incidence rates of GCD were 10.1%, 21.6%, and 25.7%, respectively, while those of OCD were 2.9%, 6.6%, and 9.0%. Age, race, World Health Organization histologic risk classification, differentiation grade, American Joint Committee on Cancer (AJCC) T stage, AJCC N stage, AJCC M stage, and RS (radiotherapy and surgery status) were independent predictors of GCD, while those of OCD were age, sex, marital status, AJCC T stage, AJCC M stage, and RS. These factors were integrated for constructing predictive nomograms. The results for calibration curves and the C‐index suggested that the nomograms were well calibrated and had good discrimination ability. Conclusion We have used the SEER database to establish—to the best of our knowledge—the first competing‐risks nomograms for predicting the 1‐, 3‐, and 5‐year cause‐specific mortality in PGC. The nomograms showed relatively good performance and can be used in clinical practice to assist clinicians in individualized treatment decision‐making., Parotid‐gland carcinoma (PGC) is a relatively rare tumor that comprises a group of heterogeneous histologic subtypes. We used the Surveillance, Epidemiology, and End Results (SEER) program database to apply a competing‐risks analysis to PGC patients, and then established and validated predictive nomograms for PGC.

Background Radiofrequency ablation (RFA) is an effective treatment for single hepatocellular carcinoma (HCC), but it is difficult to use against tumors in some locations and often leads to incomplete ablation as a result of the heat‐sink effect. This study was conducted to evaluate the efficacy of cryoablation compared with that of RFA in the treatment of single HCC. Methods This retrospective study was conducted based on the Surveillance, Epidemiology, and End Results (SEER) database. From 2004 to 2015, patients aged 40 to 79 diagnosed with HCC were included in the study. A propensity score matching (PSM) model was used to reduce selection biases. Results Before PSM, the median overall survival (mOS) and median cancer‐specific survival (mCSS) in the RFA group were slightly longer than those in the cryoablation group (p > 0.05). In the subgroup analysis, the mOS and mCSS of patients with tumor sizes 5 cm who received RFA treatment were longer than those of patients given cryoablation treatment, but there was no significant difference (p > 0.05). Similar results were presented in patients at American Joint Committee on Cancer (AJCC) stages I and II. After PSM, the mOS and mCSS were slightly better in the RFA group than the cryoablation group but without significant differences. Univariate and multivariate analysis showed that cryoablation treatment was not an unfavorable factor for OS and CSS before or after PSM (p > 0.05). In the multivariable competing risk model, non‐cancer‐specific death was taken as a competing factor and cryoablation was also not unfavorable for the survival of patients before and after PSM (p > 0.05). Conclusion Cryoablation is non‐inferior to RFA therapy for single HCC patients without lymph node invasion or distant metastasis., This study compared the overall survival and cancer‐specific survival of patients with single HCC who received cryoablation and radiofrequency ablation. The results of this study showed that cryoablation had similar efficacy with radiofrequency ablation in the treatment of single HCC.

Background We aimed to study the clinical manifestations of the patients with stage M1 Siewert type II esophagogastric junction adenocarcinoma and more than 1-year overall survival and establish a prognosis prediction model Methods From the SEER database, 638 patients were chosen between 2011 and 2017. Patients were separated into two groups, including the long-time survival group (≥1 year), and the shorter time survival group (

Purpose Studies on unresectable colorectal cancer liver metastasis(CRLM) rarely analyze the prognosis of the patients from the point of colonic subsites. We aimed to evaluate the effect of primary tumor resection (PTR) and different scope of colectomy on the prognosis of patients with unresectable transverse colon cancer liver metastasis (UTCLM), hepatic flexure cancer liver metastasis (UHFLM), and splenic flexure cancer liver metastasis (USFLM). Patients and methods The patients were identified from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015. Cox proportional hazards regression models were used to identify prognostic factors of overall survival (OS) and cause-specific survival (CSS). Kaplan-Meier analyses and log-rank tests were conducted to assess the effectiveness of PTR on survival. Results In total, this study included a cohort of 1960 patients: 556 cases of UHFLM, 1008 cases of UTCLM, and 396 cases of USFLM. The median survival time of whole patients was 11.0 months, ranging from 7.0 months for UHFLM patients to 15.0 months for USFLM patients. USFLM patients had the best OS and CSS, followed by UTCLM patients. UHFLM patients had the worst OS and CSS (All P P Conclusions We confirmed the different survival of patients with UTCLM, UHFLM, and USFLM, and for the first time, we proved that PTR could provide survival benefits for patients with unresectable CRLM from the perspective of colonic subsites of transverse colon, hepatic flexure, and splenic flexure. Besides, PTR may not improve the prognosis of USFLM patients with CEA- negative or tumor size≤5 cm. For oncologic outcomes, we concluded that segmental colon resection seemed an effective surgical procedure for UTCLM, UHFLM, and USFLM.

Background The clinical characteristics and prognosis of primary intestinal diffuse large B‐cell lymphoma (PI‐DLBCL) are rarely reported. We aimed to explore the role of surgery in patients with PI‐DLBCL. Methods Adult PI‐DLBCL patients were included from the Surveillance, Epidemiology, and End Results database. The effect of surgery was evaluated by Kaplan–Meier and Cox proportional regression analyses. Propensity score matching (PSM) was used to reinforce our results. Lasso regression was utilized to determine independent risk factors of overall survival (OS) for a nomogram and a novel web‐based calculator. The performance of the model was measured via concordance index, receiver operating characteristic curve, and calibration plots in both cohorts. Results Overall, 1602 patients with PI‐DLBCL were analyzed. Surgery significantly improved survival in both univariate and multivariate analyses (p = 0.007, p, This study approves the beneficial effect of surgery on clinical outcome in patients with primary intestinal diffuse large B‐cell lymphoma. The predictive nomogram and the web‐based calculator could help clinicians to predict the prognosis and optimize individualized treatment decisions for these patients.

Objectives This study aimed to establish a machine learning prediction model that can be used to predict bone metastasis (BM) in patients with newly diagnosed thyroid cancer (TC). Methods Demographic and clinicopathologic variables of TC patients in the Surveillance, Epidemiology, and End Results database from 2010 to 2016 were retrospectively analyzed. On this basis, we developed a random forest (RF) algorithm model based on machine‐learning. The area under receiver operating characteristic curve (AUC), accuracy score, recall rate, and specificity are used to evaluate and compare the prediction performance of the RF model and the other model. Results A total of 17,138 patients were included in the study, with 166 (0.97%) developed bone metastases. Grade, T stage, histology, race, sex, age, and N stage were the important prediction features of BM. The RF model has better predictive performance than the other model (AUC: 0.917, accuracy: 0.904, recall rate: 0.833, and specificity: 0.905). Conclusions The RF model constructed in this study could accurately predict bone metastases in TC patients, which may provide clinicians with more personalized clinical decision‐making recommendations. Machine learning technology has the potential to improve the development of BM prediction models in TC patients., We developed a random forest prediction model for bone metastases in thyroid cancer (TC) patients. This facilitates personalized diagnosis and refined clinical decision making for bone metastases in TC patients.

Background Treatment modalities for primary diffuse large B-cell lymphoma of Small intestine and colon (PIC-DLBCL) have changed significantly during the past decades. However, limited information on the trends of clinical outcome of PIC-DLBCL patients has been reported, and the influence of marital status and medical insurance on prognosis is ignored. Methods This was a retrospective analysis the survival of PIC-DLBCL patients using the Surveillance, Epidemiology, and End Results (SEER) database between 2002 and 2016. The patients were divided into the training and validation cohort. In the training cohort, univariate and multivariable Cox regression analysis, Log-rank test and the Kaplan-Meier method were used to find out the independent prognostic factors, from which the visual prognostic model (nomogram and graphical web page) was established. C-index and calibration plots were used to evaluate the prediction accuracy of the model. In the validation cohort, both Decision curve analysis (DCA) and Receiver operating characteristic (ROC) curve was performed to compare the model with the International Prognostic Index (IPI) scoring model which is universally used to estimate prognosis of PIC-DLBCL. Results A total of 1,613 patients were collected, and the 5-year overall survival of all cases was 64.5%. Age at diagnosis (HR =2.58, 95% CI: 2.29–2.91), Ann Arbo stage (HR =1.34, 95% CI: 1.24–1.44), Divorced or Separated (HR=1.21, 95% CI: 1.06–1.38), Uninsured (HR =1.32, 95% CI: 1.19–1.45) and Primary colon (HR =1.23, 95% CI: 1.08–1.40) were associated with prognosis and were used to build up the visual model (nomogram and graphical web page). Both DCA and ROC curve showed that the model had better authentication capability than the IPI scoring model (AUC 0.820 vs. 0.714). The calibration plots showed that the model could accurately predict patient prognosis. Conclusions The visual model could output individual estimate prognosis simply and correctly, including marital status and medical insurance for the first time. Consideration of both medical and social factors, this study provided a new way to explore the improving prognosis of PIC-DLBCL.

Background Throughout the world, hepatocellular carcinoma (HCC) remains the primary type of liver cancer. The suicide risk was higher among patients with HCC than the general population. Hence, the purpose of this study was to confirm the suicide rates, standardized mortality ratios (SMRs), and the potential risk factors associated with suicide among HCC patients. Methods HCC patients were collected from the Surveillance, Epidemiology, and End Results (SEER) database during 1975–2016. Suicide rates and SMRs among these patients were calculated, and the general population of the United States (U.S.) during 1975–2016 was used as a reference. Univariable and multivariable Cox regression were taken to find out the underlying risk factors of suicide in HCC patients. Results There were 70 suicides identified among 102,567 individuals with HCC observed for 160,500.88 person years. The suicide rate was 43.61 per 100,000 person-years, and SMR was 2.26 (95% CI: 1.78–2.84). On Cox regression, year of diagnosis (1975–1988 vs. 2003–2016, HR: 3.00, 95% CI: 1.01–8.89, P = 0.047; 1989–2002 vs. 2003–2016, HR: 1.92, 95% CI: 1.10–3.34, P = 0.021), gender (male vs. female, HR: 8.72, 95% CI: 2.73–27.81, P

Background: Thyroid adenomas/adenocarcinomas are the most common type of thyroid cancer. The impact of socioeconomic factors on the prognosis of thyroid cancer is unclear. Methods: Clinical information and socioeconomic factors were obtained from the Surveillance, Epidemiology, and End Results Database (SEER) 18 Registries Custom Database. The association between thyroid adenomas/adenocarcinomas and socioeconomic factors including gender, race/ethnicity, insurance status, marital status, living area, and Yost index (including education, income, working, etc.) were fully evaluated. Results: A total of 136,313 patients between 2010 and 2016 were finally included in the present study. Among them, 126,160 patients were diagnosed with the single malignancy. Median follow-up time was 64 months. In general, non-Hispanic Asian or Pacific Islander and Hispanic patients had significantly better survival than non-Hispanic White patients (All P

Yannan Bai,1,* Yuan’e Lian,2,* Jiayi Wu,1 Shi Chen,1 Jianlin Lai,1 Yu Zheng,1 Yifeng Tian,1 Maolin Yan,1 Yaodong Wang1 1Hepatobiliary Surgery Department, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, China; 2Pathology Department, Fujian Medical University Union Hospital, Fuzhou, 350001, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yaodong Wang; Maolin YanFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, People’s Republic of ChinaTel +86-591-88217130Fax +86-591-88217140Email fjslgdy@dingtalk.com; yanmaolin74@163.comPurpose: Postoperative prognosis prediction models for patients with stage â… and Ⅱ hepatocellular carcinoma (HCC) according to the 8th edition of the Tumor-Node-Metastasis staging system after surgery are rare. This study aimed to build a prognostic score to predict survival outcomes and stratify these patients into different prognostic strata.Patients and Methods: We developed a web-based nomogram that incorporated four selected risk factors based on the multivariate Cox regression, using a training set (n=3567) from the Surveillance, Epidemiology, and End Results (SEER) database. It was validated with an independent internal set from the SEER database (n=1783) and an external validation set of 516 Chinese patients. The predictive performance and discrimination ability of our model were further evaluated and compared with those of the conventional HCC staging systems.Results: Our nomogram consistently outperformed the conventional staging systems in the training, internal validation set, and external validation set. We quantified the nomogram model into a numerical SNIG (an abbreviation of the incorporated variables – size, number, MVI, and grade) score by summing the points assigned to each incorporated variable, leading to the optimal cut-off values of 6 and 10, which could stratify patients into 3 categories (SNIG score < 6, 6– 10, ≥ 10). This yielded significantly different median overall survivals (interquartile ranges) of 42.0 (20.0– 72.0) and 37.0 (17.0– 67.0); 28.0 (12.0– 60.0) and 42.0 (21.75– 82.0); 40.0 (18.0– 70.0) and 29.0 (11.5– 61.0) months for the 3 categories in the entire SEER and external validation sets, respectively.Conclusion: We developed a web-based SNIG model to graphically and numerically predict the overall survival of stage â… and Ⅱ HCC. This scoring system may shed light on risk stratification for these patients in clinical practice and clinical trials.Keywords: hepatocellular carcinoma, overall survival, SNIG model, SEER

Background: Elderly patients with Intrahepatic Cholangiocarcinoma (ICC) are frequently under-represented in clinical trials, which leads to the unclear management of ICC in elderly patients. This study aimed to describe treatment patterns and establish a reliable nomogram in elderly ICC patients. Methods: Based on the Surveillance, Epidemiology, and End Results (SEER) database, we conducted a retrospective analysis of 1651 elderly patients (≥65 years) diagnosed with ICC between 2004 and 2016. Results: For the whole study population, 29.3% received only chemotherapy, 26.7% no tumor-directed therapy, 19.1% surgery alone, 17.5% radiotherapy, and 7.4% surgery plus chemotherapy. Compared with the age group of 65-74 years, patients aged ≥75 years were less likely to accept treatment. Among patients 66-74 years of age, surgery alone resulted in a median overall survival (OS) of 30 months, surgery combined with chemotherapy 26 months, radiotherapy 17 months, chemotherapy alone 10 months and no therapy 3 months; while among patients ≥75 years of age, the median OS was 21, 25, 14, 9 and 4, respectively. Moreover, independent prognostic indicators including age, gender, grade, tumor size, T stage, N stage, M stage, and treatment were incorporated to construct a nomogram. The C-indexes of the OS nomogram were 0.725 and 0.724 for the training and validation cohorts, respectively. Importantly, the predictive model harbored a better discriminative power than the American Joint Committee on Cancer TNM staging system. Conclusion: Active treatment should not be abandoned among all the elderly patients with ICC. The validated nomogram provided an effective and practical tool to accurately evaluate prognosis and to guide personalized treatment for elderly ICC patients.

Background Pleomorphic liposarcoma is the least common but most aggressive subtype of liposarcoma. Very few studies have presented data on pleomorphic liposarcoma specifically, often including a limited number of cases and short-term follow-up. As a result, the survivorship and prognostic characteristics of this tumor remain incompletely identified. Study design and setting Cross-sectional analysis of the Surveillance Epidemiology and End Results database (1996–2015). Results Overall survival for the entire series was 54% (95% confidence interval [CI], 49–58%) and 40% (95% CI, 35–45%) at 5 and 10 years, respectively. Disease-specific survival for the entire series was 60% (95% CI, 56–65%) and 53% (95% CI, 48–58%) at 5 and 10 years, respectively. Patients who survived 10 years or more were more likely to die of events unrelated to pleomorphic liposarcoma. Univariate and multivariate analysis demonstrated that not receiving cancer-directed surgery was an independent poor prognostic factor. Older age (≥ 65 years old) was associated with worse overall survival but not disease-specific survival. Tumor stage and radiotherapy showed different impact on survival depending on tumor size. In comparison to localized staged tumors, regional stage only predicts poor survival in patients with tumor size less than 5 cm, while distant stage is an independent worse prognosis factor. Radiotherapy only benefits patients with tumor size larger than 10 cm. These results were confirmed in competing risk analysis. Conclusion Survival rates of patients with pleomorphic liposarcoma has not changed over the past 20 years. Patients with distant stage have poor prognosis; regional stage indicates worse survival in patients with tumor size less than 5 cm. Receiving surgery could prolong the survival, while radiotherapy only benefits patients with large tumor size (> 10 cm). Older age is associated with poor overall survival but not disease-specific survival. Routine patient surveillance following initial diagnosis should at least be 10 years for pleomorphic liposarcoma.

Background Lung cancer remains the leading cause of cancer death globally. In 2015, the cancer classification guidelines of the World Health Organization were updated. The term “invasive mucinous adenocarcinoma (IMA)” aroused people’s attention, while the clinicopathological factors that may influence survival were unclear. Methods Data of IMA patients was downloaded from SEER database. Kaplan-Meier methods and log-rank tests were used to compare the differences in OS and LCSS. The nomogram was developed based on the result of the multivariable analysis. The discrimination and accuracy were tested by Harrell’s concordance index (C-index), receiver operating characteristic (ROC) curve, calibration curve and decision curve analyses (DCA). Integrated discrimination improvement (IDI) index was used to evaluate the clinical efficacy. Results According to multivariate analysis, the prognosis of IMAs was associated with age, differentiation grade, TNM stage and treatments. Surgery might be the only way that would improve survival. Area under the curve (AUC) of the training cohort was 0.834and 0.830 for3-and 5-year OS, respectively. AUC for 3-and 5-year LCSS were separately 0.839 and 0.839. The new model was then evaluated by calibration curve, DCA and IDI index. Conclusion Based on this study, prognosis of IMAs was systematically reviewed, and a new nomogram was developed and validated. This model helps us understand IMA in depth and provides new ideas for IMA treatment.

Background Metastatic adenocarcinoma of unknown primary site (MACUP) is the most common cancer of unknown primary site, and shows worse prognosis. Prediction of its tumor site origin attracts a growing attention. However, the site determined by gene expression profiling does not have a significant impact on the survival. Some other special method might need to be found out. Methods We reviewed 1011 MACUP patients diagnosed by pathological examination and immunohistochemistry based on the Surveillance, Epidemiology, and End Results (SEER) database during 2010–2016. Kaplan–Meier curves and Cox proportional hazard model were analyzed to compare the survival. Logistic regression models and relevant nomograms were performed to predicting the probability of the primary site which including digestive system, respiratory system, and female breast. The validation and clinical utility of models were measured with relevant statistical approaches. Results About 324 (32.1%), 299 (29.6%), and 203 (20.1%) of MACUP patients were identified as the primary sites of digestive system, respiratory system, and female breast, respectively. Patients derived from digestive system and respiratory system showed poorer survival than these with other sites. Digestive system was significantly associated with liver (Odds ratio =13.21 [95% confidence interval =8.48–21.02]) or lung (2.36 [1.40–3.97]) metastasis, while respiratory system was linked to brain (11.68 [6.68–21.26]) or lymph node (3.39 [2.26–5.13]) metastasis. Patients identified as female breast were prone to occur bone metastasis (5.85 [3.68–9.45]). Logistic regression nomograms were developed to help clinicians intuitively predict the probabilities of tumor site origin with 0.867, 0.824, and 0.753 of the C‐index, respectively. Decision curve analysis and clinical impact curves both revealed the clinical effectiveness. Conclusions We profiled different tumor site origin of MACUP patients and established prediction models. These features might be significant for clinicians to improve the probabilities of predicting the primary sites, and to decide subsequent treatment strategy., We profiled different tumor site origin of MACUP patients and established prediction models. These features might be significant for clinicians to improve the probabilities of predicting the primary sites, and to decide subsequent treatment strategy.

Hepatoid adenocarcinoma of the lung (HAL) is a rare malignant tumor that is defined as a primary alpha-fetoprotein (AFP)-producing lung carcinoma. We aimed to identify prognostic factors associated with the survival of patients with HAL using data from the Surveillance, Epidemiology, and End Results (SEER) database. We collected data from patients diagnosed with HAL, adenocarcinoma (ADC), and squamous cell carcinoma (SCC) of the lung between 1975 and 2016 from the SEER database. The clinical features of patients with ADC and SCC of the lung were also analyzed. The clinical features of HALs were compared to ADCs and SCCs. A chi-square test was used to calculate the correlations between categorical variables, and a t test or Mann–Whitney U test was used for continuous variables. The Kaplan–Meier method and Cox regression analysis were used to identify the prognostic factors for the overall survival (OS) of HALs. Two-tailed p values < 0.05 were considered statistically significant. Sixty-five patients with HAL, 2,84,379 patients with ADC, and 1,86,494 with SCC were identified from the SEER database. Fewer males, advanced stages, and more chemotherapy-treated HALs were found. Compared to patients with SCC, patients with HAL were less likely to be male, more likely to be in an advanced stage, and more likely to receive chemotherapy (p < 0.05). The American Joint Committee on Cancer staging was the only prognostic factor for OS in patients with HAL, and stage IV was significantly different from other stages (hazard ratio = 0.045, 95% confidence interval: 0.005–0.398, p = 0.005). Males with HAL were more likely to receive radiotherapy compared to females with HAL (61.8 vs 31.5%, p = 0.034). Younger patients with HAL were more likely to receive chemotherapy (59.4 + 10.2 years vs 69 + 11.3 years, p = 0.001). The primary tumor size of HAL was associated with the location of the primary lesion (p = 0.012). No conventional antitumor therapies, including surgery, chemotherapy, and radiotherapy, were shown to have a significant survival benefit in patients with HAL (p > 0.05). This study showed that stage IV was the only prognostic factor for OS in HALs compared to other clinicopathologic factors. Conventional antitumor therapies failed to show survival benefit; thus, a more effective method by which to treat HAL is needed. Interestingly, the clinical features and the location of the primary lesion were shown to be associated with primary tumor size and treatment in patients with HAL, which have not been reported before.