scholarly journals Evaluating Overall Survival and Competing Risks of Survival in Patients With Early Stage Breast Cancer Using a Comprehensive Nomogram

2019 ◽  
Author(s):  
Yanbo Xu ◽  
Hong Liu ◽  
Qi-Hua Cao ◽  
Jia-Li Ji ◽  
Rong-Rong Dong ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Risk Analysis ◽  
Tumor Size ◽  
Cox Regression ◽  
Early Stage ◽  
Competing Risk ◽  
Competing Risk Analysis ◽  
Cox Regression Analysis ◽  
Specific Mortality

Abstract BackgroundPatients with early stage breast cancer (BC) live long but accompany with competing comorbidities. This study aims to estimate the impact of cancer and non-cancer causes of death in early stage BC patients, and further quantify the survival differences. MethodsPatients diagnosed with breast cancer between 2010 and 2016 from the Surveillance, Epidemiology, and End Results database were enrolled in the study. Cumulative incidence function (CIF) for cause-specific death and other causes of death were estimated, and the differences were tested by Gray’s test. Nomogram for estimating 3-, 4-, and 5-year overall survival, cancer-specific survival and other-cause-specific survival was established based on Cox regression analysis and Fine and Gray’s competing risk analysis. The discriminative ability, calibration and precision of the nomogram was evaluated and compared using C statistics, calibration plots and the area under receiver operating characteristic curve. Results196304 eligible patients with early-stage BC patients were enrolled in this study. Prolonged overall survival (OS) was associated with younger age, well differentiation, smaller tumor size, Luminal subtype and presence of surgery ( p <0.001). For competing events, Fine and Gray's competing risk analysis was used to validate the predictors: i ncreasing age, poorer differentiation, larger tumor size, triple negative subtype, HER2 enriched subtype and absence of surgery for cancer-specific mortality (CSM); and increasing age, larger tumor size and absence of surgery for other-cause-specific mortality (OCSM). The established nomogram was well calibrated, and displayed good discrimination in both training cohort and validation cohort by calibration plots (Figure 4), with a concordance index of 0.801 (95% CI, 0.795-0.806; p =0.003) for OS prediction; 0.830 (95% CI, 0.824-0.836; p =0.003) for CSM prediction and 0.806 (95% CI, 0.798-0.814; p =0.004) for OCSM prediction. Furthermore, the AUC values for predicting survival and death were: OS, 80.2% (3-year), 79.5% (4-year), and 78.7% (5-year); CSM, 83.0% (3-year), 81.7% (4-year), and 80.3% (5-year); OCSM 81.3% (3-year), 80.8% (4-year), and 81.7% (5-year) (Figure 5). ConclusionsWe evaluated OS and CIF of cancer-specific death and other-cause-specific death in patients with early stage BC based on Cox regression analysis and Fine and Gray’s competing risk analysis and developed the first comprehensive prognostic nomogram.

scholarly journals Nomogram Predicting Cause-Specific Mortality in Nonmetastatic Male Breast Cancer: A Competing Risk Analysis

2019 ◽  
Vol 10 (3) ◽  
pp. 583-593 ◽  
Author(s):  
Wei Sun ◽  
Minghua Cheng ◽  
Huaqiang Zhou ◽  
Wenqi Huang ◽  
Zeting Qiu
Keyword(s):  
Breast Cancer ◽  
Risk Analysis ◽  
Male Breast Cancer ◽  
Male Breast ◽  
Competing Risk ◽  
Competing Risk Analysis ◽  
Specific Mortality

Lymphadenectomy in Early-Stage Intermediate-/High-Risk Endometrioid Endometrial Cancer: Clinical Characteristics and Outcomes in an Australian Cohort

2017 ◽  
Vol 27 (7) ◽  
pp. 1379-1386 ◽  
Author(s):  
Rhonda Farrell ◽  
Suzanne C. Dixon ◽  
Jonathan Carter ◽  
Penny M. Webb
Keyword(s):  
Overall Survival ◽  
Endometrial Cancer ◽  
High Risk ◽  
Adjuvant Treatment ◽  
Cox Regression ◽  
Early Stage ◽  
Cox Regression Analysis ◽  
Cancer Study ◽  
Stage Ib ◽  
Australian Cohort

ObjectiveThe role of lymphadenectomy (LND) in early-stage endometrial cancer (EC) remains controversial. Previous studies have included low-risk patients and nonendometrioid histologies for which LND may not be beneficial, whereas long-term morbidity after LND is unclear. In a large Australian cohort of women with clinical early-stage intermediate-/high-risk endometrioid EC, we analyzed the association of LND with clinicopathological characteristics, adjuvant treatment, survival, patterns of disease recurrence, and morbidity.Materials and MethodsFrom a larger prospective study (Australian National Endometrial Cancer Study), we analyzed data from 328 women with stage IA grade 3 (n = 63), stage IB grade 1 to 3 (n = 160), stage II grade 1 to 3 (n = 71), and stage IIIC1/2 grade 1 to 3 (n = 31/3) endometrioid EC. Overall survival (OS) was estimated using Kaplan-Meier methods. The association of LND with OS was assessed using Cox regression analysis adjusted for age, stage, grade, and adjuvant treatment. The association with risk of recurrent disease was analyzed using logistic regression adjusted for age, stage, and grade. Morbidity data were analyzed using χ2 tests.ResultsMedian follow-up was 45.8 months. Overall survival at 3 years was 93%. Lymphadenectomy was performed in 217 women (66%), 16% of this group having positive nodes. Median node count was 12. There were no significant differences in OS between LND and no LND groups, or by number of nodes removed. After excluding stage IB grade 1/2 tumors, there was no association between LND and OS among a “high-risk” group of 190 women with a positive node rate of 24%. However, a similar cohort (n = 71) of serous EC in the Australian National Endometrial Cancer Study had improved survival after LND. Women who underwent LND had significantly higher rates of critical events (5% vs 0%, P = 0.02) and lymphoedema (23% vs 4%, P < 0.0001).ConclusionsIn this cohort with early-stage intermediate-/high-risk endometrioid EC, LND did not improve survival but was associated with significantly increased morbidity.

Clinical Characteristics, Pathology and Outcome of 237 Patients With Synovial Sarcoma: Single Center Experience

2021 ◽  
pp. 106689692110560
Author(s):  
Hao Cheng ◽  
Chi Yihebali ◽  
Hongtu Zhang ◽  
Lei Guo ◽  
Susheng Shi
Keyword(s):  
Overall Survival ◽  
Synovial Sarcoma ◽  
Tumor Size ◽  
Clinical Characteristics ◽  
Cox Regression ◽  
Survival Outcomes ◽  
Tumor Diameter ◽  
Single Center ◽  
Primary Tumors ◽  
Cox Regression Analysis

Background Synovial sarcoma (SS) is a rare soft tissue sarcoma. Available data regarding survival outcomes of patients with SS still remains limited. In this study, a single center retrospective analysis was performed to investigate the clinical characteristics, pathology and survival outcomes in patients with SS in China. Methods Patient data were systematically reviewed at the National Cancer Center from January 2015 to December 2020. The general information and treatment condition of patients were collected. Overall survival (OS) was evaluated using the Kaplan-Meier and Cox regression method. Results A total of 237 consecutive patients were included in this study (follow-up cut-off date: December, 2020). The median age of patients involved was 35 years (ranging from 5 to 83 years) and the mean tumor diameter was 5.3 cm (ranging from .2 to 26.0 cm). The main findings of the immunohistochemical staining analyses were EMA (111/156) (71%), keratin (32/64) (50.0%), keratin (12/20) (60%), keratin (42/70) (60%), S-100 (18/160) (11%), BCL-2 (128/134) (96%), CD99 (137/148) (93%) and TLE1 (23/26) (88%). It was found that 109 patients (66%) were presented with monophasic subtype and 55 (34%) with biphasic subtype. A total of 137 patients were tested by FISH method and 119 patients (87%) demonstrated SS18 rearrangement, whereas 18 patients (13%) did not show SS18 rearrangement. Generally, it was found that the 3-year OS rate was 86% and the 3-year DFS was 55%. Results of univariate analysis revealed that age, tumor size, tumor site, radiotherapy and targeted therapy were significantly correlated with the overall survival ( P < .05). Further, multivariate Cox regression analysis revealed that age, tumor size and radiotherapy were significantly associated with OS ( P < .05). Conclusions In conclusion, this study shows that the outcomes of patients with SS significantly decrease with age and tumor size. It was evident that radiotherapy is an independent and positive prognostic factor for patients with SS. In addition, it was shown that the prognosis of SS varies with tumor location. For instance, primary tumors in lower extremities have a higher prognosis, whereas tumors located in thorax have a lower prognosis.

Male breast cancer (MBC) in the VA population: A gender issue?

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 587-587 ◽  
Author(s):  
Z. Nahleh ◽  
R. Srikantiah ◽  
R. Komrokji ◽  
M. Safa ◽  
J. Pancoast ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cox Regression ◽  
Ductal Carcinoma ◽  
Early Stage ◽  
Statistical Significance ◽  
Clinical Stage ◽  
Hormonal Treatment ◽  
Cancer Site ◽  
Early Stage Disease ◽  
Cox Regression Analysis

587 Background: The incidence of MBC continues to rise. Few studies have addressed the differences between MBC and female breast cancer (FBC). Treatment for MBC has ben extrapolated from FBC regimens. The VA cancer registry (VACCR) provides a unique source to study MBC. This retrospective analysis aims at comparing the characteristics and outcome of MBC and FBC in the VA population. Methods: We reviewed the VACCR database between 1995 and 2005, for 120 VA medical centers. Primary breast cancer site codes were identified (500–508). Data was entered and analyzed using bio-statistical software SPSS. Results: A total of 3025 patients :612 MBC and 2413 FBC were compared. Mean age at diagnosis was 67 for MBC and 57 for FBC (p <0.005). More MBC patients were black. MBC patients presented with a significantly higher stage of disease, more node positive(N+) and larger tumor size. In MBC, ductal histology was more common while lobular and ductal carcinoma in situ were less common than in FBC. ER + and PR + tumors were significantly more common in MBC (60% vs 52% and 53% vs 47%, P< 0.005). MBC patients received less chemotherapy while no statistical difference in hormonal treatment was observed. The median overall survival (OS) was lower for MBC (7 years vs 9.8 years, p<0.005). OS was not significantly different for stage III and IV while OS was inferior for MBC in stage I (7 yr vs not reached, p 0.005) and stage II (6 vs 8.6yr, p 0.001). In N- tumors, OS was inferior in MBC (6.1 vs 14.6 yr, p<0.005) but not statistically different for N+ tumors . In ER + and PR + tumors, OS was inferior in MBC (7yr vs 8yr and 7.3 yr vs 9.8 yr p<0.005); however, no statistical significance was observed in ER - or PR - tumors. Using Cox regression analysis age, sex, clinical stage, nodal status were statistically independent prognostic factors while race, histology and grade were not. Conclusion: This study suggests differences in the biology, pathology, presentation, and survival between male and female VA breast cancer patients. Survival of MBC patients appears inferior in early stage disease and N- tumors suggesting gender differences in the tumor pathogenesis and biology. In hormone receptor + MBC, survival was also inferior despite similar hormonal treatment practices. This observational study calls for different approach and treatment strategies in MBC. No significant financial relationships to disclose.

Prediction of radiation therapy response in breast cancer patients.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 565-565
Author(s):  
Divya Arora ◽  
Salman Hasan ◽  
Deborah Jebakumar ◽  
Yolanda Munoz ◽  
John Ford ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Local Recurrence ◽  
Cox Regression ◽  
Tumor Biology ◽  
Radiation Response ◽  
Cox Regression Analysis ◽  
Breast Cancer Radiotherapy ◽  
Unit Increase ◽  
Selection Of

565 Background: While radiation portals are tailored to a patient’s unique anatomy and the selection of systemic agents routinely employs biomarker data, the selection of radiotherapy based on a patient’s tumor biology is not routinely utilized in breast cancer. The purpose of this study was to identify which genetic markers are possible predictors for local recurrence as a surrogate for radiation response. Methods: We identified 200 patients who received radiotherapy for breast cancer. Selected tumor markers included: Androgen receptor (AR), Hypoxia Inducible Factor 1-α (HIF-1), Phosphotidylinosotol-4,5-bisphosphate 3-kinase (PI3K), and Interleukin 13 (IL-13). Biomarkers were analyzed in terms of “extent” and “intensity” on a scale of 0-3 and scored by 2 separate pathologists. The primary endpoint of local recurrence (LR) & secondary endpoint of overall survival were analyzed using Kaplan-Meier survival curves, log-rank test for differences, and Cox regression models. Results: Median follow up was 7.98 years. At 5 years, the rate of LR was 92.6% and overall survival was 89.4%. On multivariate Cox regression analysis, a one unit increase in IL-13 extent increased the hazard of LR by 73%. A one unit decrease in AR extent increased the hazard of LR by 134%. The hazard of death increased 3.2 times for each unit increase in HIF1 extent. The hazard of death increased 1.5 times for each unit increase in PI3K extent. PI3K extent and intensity was increased, and AR extent and intensity was decreased in triple negative breast cancer (TNBC) (n = 68) vs non-TNBC (p < 0.0001). African Americans had a 4.2 times hazard of LR vs Caucasians. Conclusions: Expression of IL-13 was associated with a higher risk of LR; expression of AR was associated with decreased LR. These two markers may be instrumental in predicting radiation response. If this study is validated, cancers that express more IL-13 may require higher doses or targeted therapy. In contrast, those cancers expressing AR may not require as aggressive therapy. Lastly, PI3K and HIF1 α expression were significant predictors of worse overall survival. The clinical implications of these biologic markers are significant as they may help to guide biologically-driven, personalized breast cancer radiotherapy.

Value of clinical treatment score post-5 years (CTS5) for late relapse risk assessment in patients with early-stage HER2+ breast cancer (BC) in the north central cancer treatment group (NCCTG) N9831 (Alliance) trial.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 529-529
Author(s):  
Tanmayi Pai ◽  
Angelica Gil ◽  
Yaohua Ma ◽  
Zhuo Li ◽  
Pooja Advani ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Tumor Size ◽  
Cox Regression ◽  
Early Stage ◽  
Low Risk ◽  
Late Relapse ◽  
Intermediate Risk ◽  
Relapse Risk ◽  
Significant Difference

529 Background: Multiple prognostic models exist to predict late relapse risk in early stage hormone receptor-positive (HR+) breast cancer (BC). The CTS5 is one such model that has been validated in HR+ HER2-negative BC. The value of this model in HR+ HER2+ has not been established. Here, we assessed CTS5 in patients (pts) with early stage HER2+ BC treated in the NCCTG N9831 (Alliance) trial. Methods: Pts with stage I-III HER2+ HR+ BC who survived ≥ 5 years were included. The online CTS5 calculator was used to determine CTS5 score and risk group (low, intermediate, and high) based on age, tumor size, grade, and number of involved nodes. Kaplan-Meier (KM) estimates, Cox regression models, and C index were used for analysis. Results: From 3,130 pts, 1,204 pts met the criteria and were included. Median age was 49 (22-79) years and median tumor size was 2.4 (0.1-12) cm. 63.6% had grade 3 tumors, 33.6% grade 2, and 2.8% grade 1. Median follow up was 10.89 (5.01-15.32) years. Based on CTS5, 821 (68.2%) pts were classified as high risk, 289 (24%) as intermediate risk, and 94 (7.8%) as low risk. Overall, using univariate Cox regression analysis, there was no statistically significant difference in recurrence free survival (RFS) among pts with intermediate vs. low (HR 0.47 95%CI 0.18-1.22, p = 0.12) and high vs. low (HR1.23 95%CI0.57-2.67, p = 0.6) with the C index of 0.58. Among pts who received concurrent trastuzumab (H) with HR+ BC, there was also no statistical difference in RFS between high vs. low (HR 0.68 95%CI0.24-1.97, p = 0.48) with the C index of 0.55. Paradoxically, pts with intermediate risk had better RFS than low risk (HR 0.18 95%CI0.03-0.97, p = 0.05). As a continuous variable, there is also no significant improvement in RFS per 1 unit increase in CTS5 score (HR 1.19 95%CI 0.73-1.96, p = 0.49) with the C index of 0.54. After 5 years, 7.06% (n = 30/425) of HR+ pts treated with concurrent H recurred. Conclusions: The CTS5 model is not prognostic in pts with early stage HR+ HER2+ BC receiving adjuvant H. While most HR+ HER2+ pts are classified as high risk by CTS5, the recurrence between years 5-10 was low in pts who received adjuvant H. This study highlights the need to develop a new predictive model for risk of late relapse in this specific group of pts to enable clinicians to determine which pts would benefit from extended adjuvant endocrine therapy. Support: BCRF-19-161, U10CA180821, Genentech. https://acknowledgments.alliancefound.org Clinical trial information: NCT00005970 .

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