scholarly journals Hormone Receptor Status May Impact the Survival Benefit Between Medullary Breast Carcinoma and Atypical Medullary Carcinoma of the Breast: A Population-Based Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Wenxing Qin ◽  
Feng Qi ◽  
Mengzhou Guo ◽  
Liangzhe Wang ◽  
Yuan-Sheng Zang

BackgroundA rare subtype of breast cancer, atypical medullary carcinoma of the breast (AMCB), shows a highly adverse prognosis compared to medullary carcinoma of the breast (MBC). The current study aimed to establish a correlated nomogram for the identification of the prognostic factors of AMCB and MBC.MethodsKaplan–Meier and Cox regression analyses were applied to data acquired from the Surveillance, Epidemiology and End Results (SEER) database for 2004 to 2013 to analyse tumour characteristics and overall survival. Propensity score matching (PSM) analysis was performed to determine the overall survival (OS) among those with AMCB and MBC. A predictive nomogram was created, and the concordance index (C-index) was used to predict accuracy and discriminative ability.ResultsA total of 2,001 patients from the SEER database were diagnosed with MBC between 2004 and 2013, including 147 patients diagnosed with AMCB. The number of diagnoses gradually increased in both groups. Cox analysis of multivariate and Kaplan–Meier analysis showed that older age (HR = 3.005, 95% CI 1.906–4.739) and later stage were significantly associated with poor prognosis, while cancer-directed surgery was an independent protective factor (HR = 0.252, 95% CI 0.086–0.740). In the HR-negative stratification analysis, older age (HR = 2.476, 95% CI 1.398–4.385), later stage and histological type (HR=0.381, 95% CI 0.198-0.734) were found to be independent prognostic factors for low standard survival. The log-rank analysis demonstrated significantly worse prognostic factors for patients with AMCB than for those with MBC (P = 0.004). A nomogram (C-index for survival = 0.75; 95% CI 0.69–0.81) was established from four independent prognostic factors after complete identification.ConclusionsMBC is rare, and cancer-directed surgery, older age, and later stage are independently linked with prognosis. In the HR negative population, AMCB patients show a worse survival gain than those with MBC.

Sarcoma ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Ryan Horazdovsky ◽  
J. Carlos Manivel ◽  
Edward Y. Cheng

Purpose. Malignant rhabdoid tumor (MRT) is an uncommon tumor that rarely occurs outside of renal and central nervous system (CNS) sites. Data from the literature were compiled to determine prognostic factors, including both demographic and treatment variables of malignant rhabdoid tumor, focusing on those tumors arising in extra-renal, extra-CNS (ER/EC MRT) sites. Patients and Methods. A systematic review and meta-analysis was performed by extracting demographic, treatment, and survival follow up on 167 cases of primary ER/EC MRT identified in the literature.Results. No survival differences were observed between those treated with or without radiation, or with or without chemotherapy. A Cox regression of overall survival revealed several independent prognostic factors. Surgical excision had a 74% (P= 0.0003) improvement in survival. Actinomycin had a 73% (P= 0.093) improvement in survival. Older age was associated with improved survival. The four-year survival, by Kaplan-Meier estimates, comparing patients less than two years old versus older than two at diagnosis was 11% versus 35%, respectively (P= 0.0001, Log-Rank).Conclusion. ER/EC MRT is a rare, soft-tissue tumor with a poor prognosis most commonly occurring in children. Surgical resection, treatment with actinomycin, and older age at diagnosis are all associated with improved survival.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1613-1613 ◽  
Author(s):  
Megan Othus ◽  
Mikkael A Sekeres ◽  
Sucha Nand ◽  
Guillermo Garcia-Manero ◽  
Frederick R. Appelbaum ◽  
...  

Abstract Background: CR and CR with incomplete count recovery (CRi) are associated with prolonged overall survival (OS) for acute myeloid leukemia (AML) patients (pts) treated with curative-intent, induction therapy. For AML pts treated with azacitidine (AZA), response (CR, partial response, marrow CR, or hematologic improvement) is also associated with prolonged OS. We evaluate whether patients given AZA for myelodysplastic syndromes (MDS) or AML had longer OS if they achieved CR. We also compare the effect size of CR on OS between AZA regimens and 7+3. Patients and Methods: We analyzed four SWOG studies: S1117 (n=277) was a randomized Phase II study comparing AZA to AZA+lenalidomide or AZA+vorinostat for higher-risk MDS and CMML pts (median age 70 years, range 28-93); S0703 (n=133) treated AML pts not eligible for curative-intent therapy with AZA+mylotarg (median age 73 years, range 60-88). We analyzed the 7+3 arms of S0106 (n=301 were randomized to 7+3, median age 48 years, range 18-60) and S1203 (n=261 were randomized to 7+3, median age 48 years, range 19-60). CR was defined per 2003 International Working Group criteria. In S1117 CR was assessed every 16 weeks and patients remained on therapy until disease progression. In S0703, S0106, and S1203 CR was assessed following 1-2 induction cycles; patients not achieving CR (S0106) or CRi (S0703 and S1203) were removed from protocol treatment. OS was measured from date of study registration. To avoid survival by response bias, we performed landmark analyses of OS. We present results based on the study-specific landmark date that 75% of pts who eventually achieved a CR had done so (S1117 144 days, S0703 42 days, S0106 44 days, S1203 34 days). Pts who did not achieve CR by this date were analyzed with pts who never achieved CR. Pts who died or were lost to follow-up before this date were excluded from analyses. As a sensitivity analysis we also analyzed based on the 90% date; results were not materially different. Log-rank tests were used to compare survival curves and Cox regression models were used for multivariable modeling including baseline prognostic factors age, sex, performance status, white blood cell count, platelet count, marrow blast percentage, de novo disease (versus antecedent MDS or therapy-related disease), study arm (for S1117 only), and cytogenetic risk (IPSS criteria for S1117, SWOG criteria for S0703, S0106, and S1203). The following analysis considers morphologic CR only. S0106 treated CR with incomplete count recover (CRi) pts as treatment failures (S0703 and S1203 did not) and CRi was not defined for S1117. Hematologic improvement was only defined for S1117 patients. Results: In univariate analysis, CR was significantly associated with prolonged survival among MDS pts treated with azactidine on S1117 (HR=0.55, p=0.017), confirming the results seen in AML pts treated with azacitidine (and mylotarg, S0703, HR=0.60, p=0.054) and 7+3 (S0106 HR=0.44, p<0.001; S1203 HR=0.32, p<0.0001) (Figure 1). For each study this relationship remained significant in multivariable analysis controlling for baseline prognostic factors (S1117 HR=0.25, p<0.001; S0703 HR=0.64, p=0.049; S0106 HR=0.45, p<0.001; S1203 HR=0.41, p<0.001). There was no evidence that the impact of CR varied across the four cohorts (interaction p-value = 0.76). In the full cohort, the effect of CR was associated with a HR of 0.45 (Table 1). Conclusion: Adjusting for pt characteristics, achievement of morphologic CR was associated with a 60% improvement in OS, on average, compared to that seen in pts who don't achieve a CR, regardless of whether pts were treated with 7+3 or AZA containing regimens, and suggesting that value CR is similar of whether pts receive more or less "intensive" therapy for these high grade neoplasms. Support: NIH/NCI grants CA180888 and CA180819 Acknowledgment: The authors wish to gratefully acknowledge the important contributions of the late Dr. Stephen H. Petersdorf to SWOG and to study S0106. Figure 1 Kaplan-Meier plots of landmark survival by response. Figure 1. Kaplan-Meier plots of landmark survival by response. Table 1 Multivariable analysis, N=878 Table 1. Multivariable analysis, N=878 Disclosures Othus: Glycomimetics: Consultancy; Celgene: Consultancy. Sekeres:Celgene: Membership on an entity's Board of Directors or advisory committees. Erba:Millennium Pharmaceuticals, Inc.: Research Funding; Amgen: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Agios: Research Funding; Gylcomimetics: Other: DSMB; Juno: Research Funding; Daiichi Sankyo: Consultancy; Sunesis: Consultancy; Pfizer: Consultancy; Ariad: Consultancy; Jannsen: Consultancy, Research Funding; Incyte: Consultancy, DSMB, Speakers Bureau; Celator: Research Funding; Astellas: Research Funding; Celgene: Consultancy, Speakers Bureau; Novartis: Consultancy, Speakers Bureau.


2020 ◽  
Author(s):  
muyuan liu ◽  
Litian Tong ◽  
Manbin Xu ◽  
Xiang Xu ◽  
Bin Liang ◽  
...  

Abstract Background: Due to the low incidence of mucoepidermoid carcinoma, there lacks sufficient studies for determining optimal treatment and predicting prognosis. The purpose of this study was to develop prognostic nomograms, to predict overall survival and disease-specific survival (DSS) of oral and oropharyngeal mucoepidermoid carcinoma patients, using the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database. Methods: Clinicopathological and follow-up data of patients diagnosed with oral and oropharyngeal mucoepidermoid carcinoma between 2004 and 2017 were collected from the SEER database. The Kaplan-Meier method with the log-rank test was employed to identify single prognostic factors. Multivariate Cox regression was utilized to identify independent prognostic factors. C-index, area under the ROC curve (AUC) and calibration curves were used to assess performance of the prognostic nomograms. Results: A total of 1230 patients with oral and oropharyngeal mucoepidermoid carcinoma were enrolled in the present study. After multivariate Cox regression analysis, age, sex, tumor subsite, T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for overall survival. T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for disease-specific survival. Nomograms were constructed to predict the overall survival and disease-specific survival based on the independent prognostic factors. The fitted nomograms possessed excellent prediction accuracy, with a C-index of 0.899 for OS prediction and 0.893 for DSS prediction. Internal validation by computing the bootstrap calibration plots, using the validation set, indicated excellent performance by the nomograms. Conclusion: The prognostic nomograms developed, based on individual clinicopathological characteristics, in the present study, accurately predicted the overall survival and disease-specific survival of patients with oral and oropharyngeal mucoepidermoid carcinoma.


2022 ◽  
Author(s):  
Piao Shen ◽  
Yuzhen Zheng ◽  
Siyu Zhu ◽  
Xingping Yang ◽  
Jian Tan ◽  
...  

Abstract Background: Primary pulmonary sarcoma (PPS) accounts for less than 1.1% of all pulmonary tumors. Few data outcomes are reported. This study aims to clarify the predictive value of clinicopathologic features on the overall survival (OS) of PPS patients.Methods: Patients with primary pulmonary sarcoma (PPS) were collected from the Surveillance, Epidemiology, and End Results (SEER) database (from 2000 to 2015) and divided randomly into training and validation cohorts at a ratio of 1:1. Univariate Cox analysis and the least absolute shrinkage and selection operator (LASSO) were implemented to identify prognostic factors related to overall survival of primary pulmonary sarcoma patients. Then, we performed multivariate Cox regression to establish a prognostic factors signature. The Kaplan- Meier (K-M) survival curves and time-dependent receiver operating characteristic (ROC) curves were plotted to estimate the prognostic power of the signature. In addition, multivariate Cox regression screened out independent prognostic factors and constructed a nomogram. Results: PPS patients with training group were divided into low- and high-risk group based on risk score, and high-risk group had a shorter survival time. The validation group got the same result. (P<0.001). On multivariate analysis of the training cohort, independent factors for survival were marriage, age, sex, grade, operation, metastasis and tumor size, which were all selected into the nomogram. The calibration curve and ROC plots for probability of 3-year and 5-year survival were in accord with prediction by nomogram and actual observation. And the C-index of the nomogram for predicting survival was 0.77 (95% CI, 0.74 to 0.80, P<0.05), which was statistically significant. Conclusion: We constructed a risk prognosis model based on PPS patients from SEER database. In addition, the construction of nomogram provides one more idea for clinical treatment.


2021 ◽  
Author(s):  
Yitong Li ◽  
Narasimha M. Beeraka ◽  
Wenchang Guo ◽  
Yuying Lei ◽  
Qilu Hu ◽  
...  

Abstract Primary brainstem glioblastoma is a rare tumor with dismal prognosis that poses significant treatment challenges. The purpose of the current study is to identify and determine prognostic factors associated with the survival in the brainstem glioblastoma patients. We gathered the data from SEER database (1973–2016) to examine the survival of patients with brainstem glioblastoma and potential impact of demographic, tumor and clinical characteristics on the overall survival of the patient. The survival patterns were assessed using Kaplan–Meier curves and Cox proportional hazards models. Propensity score matching (PSM) analysis was performed between patients with or without radiation therapy based on age and surgical resection to investigate the effect of radiotherapy on the overall survival. Total 232 patients were included from the SEER database. The median overall survival was 8 months. Kaplan–Meier survival analysis delineated that thepatients with younger age (P = 0.001) and surgery (P = 0.001) exhibited better prognosis. Among 232 patients, 204 patients received radiotherapy (radiotherapy group, RG), and only 28 patients did not receive radiotherapy (non-radiotherapy group, NRG). Radiotherapy was associated with an improvement of overall survival without statistical significance (P = 0.104). PSM was performed between the RG and NRG based on age and surgical resection. After the PSM, 56 patients were included. Overall Survival was significantly different between both groups (P = 0.038, p < 0.05). Multivariate analysis showed that treatment with surgery and radiotherapy were considered as the independent prognostic factors (P < 0.05).


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shizhao Cheng ◽  
Lei Yang ◽  
Xin Dai ◽  
Jing Wang ◽  
Xingpeng Han

Abstract 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.


2014 ◽  
Vol 32 (23) ◽  
pp. 2479-2485 ◽  
Author(s):  
Andrea Maurichi ◽  
Rosalba Miceli ◽  
Tiziana Camerini ◽  
Luigi Mariani ◽  
Roberto Patuzzo ◽  
...  

Purpose Cutaneous melanoma incidence is increasing. Most new cases are thin (≤ 1 mm) with favorable prognoses, but survival is nonetheless variable. Our aim was to investigate new prognostic factors and construct a nomogram for predicting survival in individual patients. Patients and Methods Data from 2,243 patients with thin melanoma were retrieved from prospectively maintained databases at six centers. Kaplan-Meier survival and crude cumulative incidences of recurrence were estimated, and competing risks were taken into account. Multivariable Cox regression was used to investigate survival predictors. Results Median follow-up was 124 months (interquartile range, 106 to 157 months); 12-year overall survival was 85.3% (95% CI, 83.4% to 87.2%). Median times to local, regional, and distant recurrence were 79, 78, and 107 months, respectively. Relapse was significantly related to age, Breslow thickness, mitotic rate (MR), ulceration, lymphovascular invasion (LVI), and regression; incidence was lower and subgroup differences were less marked for distant metastasis than for regional relapse. The worst prognosis categories were age older than 60 years, Breslow thickness more than 0.75 mm, MR ≥ 1, presence of ulceration, presence of LVI, and regression ≥ 50%. Breslow thickness more than 0.75 mm, MR ≥ 1, presence of ulceration, and LVI (all P = .001) were significantly associated with sentinel node positivity. Age, MR, ulceration, LVI, regression, and sentinel node status were independent predictors of survival and were used to construct a nomogram to predict 12-year overall survival. The nomogram was well calibrated and had good discriminative ability (adjusted Harrell C statistic, 0.88). Conclusion Our findings suggest including LVI and regression as new prognostic factors in the melanoma staging system. The nomogram appears useful for risk stratification in clinical management and for recruiting patients to clinical trials.


2019 ◽  
Author(s):  
zepang sun ◽  
Hao Chen ◽  
Zhen Han ◽  
Jiang Yu ◽  
Weicai Huang ◽  
...  

Abstract Purpose The purpose of this study was to analyze the proportion and prognosis of bone metastases at diagnosis of gastric cancer using population-based data from SEER. Patients and methods Patients with gastric cancer and bone metastases (GCBM) at the time of diagnosis in advanced gastric cancer were identified using the Surveillance, Epidemiology and End Result (SEER) database of the National Cancer Institute. Multivariable logistic and Cox regression were performed to identify predictors of the presence of GCBM at diagnosis and factors associated with all-cause mortality and gastric cancer-specific mortality. Survival curves were obtained according to the Kaplan-Meier method and compared using the log-rank test. Results We identified 975 patients with gastric cancer and bone metastases at the time of diagnosis, representing 5.31% of the entire cohort and 13.35% of the subset with metastatic disease to any distant site. Among entire cohort, multivariable logistic regression identified five factors (lower age, diffused-type, adverse pathology grade, N1 staging and presence of more extraosseous metastases to liver, lung and brain.) as positive predictors of the presence of bone metastases at diagnosis. Median survival among the entire cohort with GCBM was 4.0 months (interquartile range: 1.0-8.0mo). Multivariable Cox model in SEER cohort confirmed two factors (non-cardia stomach and absence of chemotherapy) as negative predictors for overall survival. We also found poor survival in non-surgical patients using Fine and Gray’s competing risk regression model. Conclusion The findings of this study provided population-based estimates of the proportion and prognosis for GCBM at time of diagnosis. These findings provided guidance for screening and treatment of GCBM patients. Chemotherapy may make benefit for overall survival, but the role of surgery remained to be determined by further research.


2022 ◽  
Vol 29 (1) ◽  
Author(s):  
Andy ◽  
Yacobda Hamonangan Sigumonrong

Objective: This study aims to determine prognostic factors of WT patient in Adam Malik Hospital, Medan. Material & Methods: at Adam Malik Hospital, Medan. Univariate and multivariate Cox regression analyses were performed to determine independent prognostic factors for WT. The primary endpoint of this study were patients’ overall survival (OS) obtained by performing Kaplan-Meier analysis on significant variables. Results: From the univariate Cox regression analysis, gender was found to be the sole significant factor (HR = 0.218, p = 0.005) with males have a higher hazard ratio. The multivariate Cox regression analysis yielded age of diagnosis (HR = 13.860, p = 0.014) and incomplete tumor removals (HR = 0.056, p = 0.008). Kaplan-Meier analysis were performed on three significant variables mentioned before. Only gender yielded a significant Mantel-Cox log-rank score (p = 0.002) with male patients were found to have better survivability (which median survival 476 days compared to females’ 11 days). The survival of the boys was 45.45% while all of the girls did not survive until the cut-off. Conclusion: Three prognostic factors, including children’s gender, age of diagnosis, and tumor removal status, were confirmed to be prognostic factors for the overall survival of children with WT. Further studies covering broader demographic areas were suggested to confirm significant results.  


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wenbo Zou ◽  
Zizheng Wang ◽  
Fei Wang ◽  
Gong Zhang ◽  
Rong Liu

Abstract Background Pancreatic head adenocarcinoma (PHAC), a malignant tumour, has a very poor prognosis, and the existing prognostic tools lack good predictive power. This study aimed to develop a better nomogram to predict overall survival after resection of non-metastatic PHAC. Methods Patients with non-metastatic PHAC were collected from the Surveillance, Epidemiology, and End Results (SEER) database and divided randomly into training and validation cohorts at a ratio of 7:3. Cox regression analysis was used to screen prognostic factors and construct the nomogram. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to evaluate the performance of the model. The predictive accuracy and clinical benefits of the nomogram were validated using the area under the curve (AUC), calibration curves, and decision curve analysis (DCA). Results From 2010 to 2016, 6419 patients with non-metastatic PHAC who underwent surgery were collected from the SEER database. A model including T stage, N stage, grade, radiotherapy, and chemotherapy was constructed. The concordance index of the nomogram was 0.676, and the AUCs of the model assessing survival at multiple timepoints within 60 months were significantly higher than those of the American Joint Committee on Cancer (AJCC) 8th staging system in the training cohort. Calibration curves showed that the nomogram had ability to predict the actual survival. The NRI, IDI, and DCA curves also indicated that our nomogram had higher predictive capability and clinical utility than the AJCC staging system. Conclusions Our nomogram has an ability to predict overall survival after resection of non-metastatic PHAC and includes prognostic factors that are easy to obtain in clinical practice. It would help assist clinicians to conduct personalized medicine.


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