scholarly journals A Combined Nomogram Model to Predict Disease-free Survival in Triple-Negative Breast Cancer Patients With Neoadjuvant Chemotherapy

2021 ◽  
Vol 12 ◽  
Author(s):  
Bingqing Xia ◽  
He Wang ◽  
Zhe Wang ◽  
Zhaoxia Qian ◽  
Qin Xiao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Disease Free Survival ◽  
Training Group ◽  
Validation Group ◽  
Mri Findings ◽  
Free Survival ◽  
Clinicopathological Variables ◽  
Disease Free

Background: To investigate whether the radiomics signature (Rad-score) of DCE-MRI images obtained in triple-negative breast cancer (TNBC) patients before neoadjuvant chemotherapy (NAC) is associated with disease-free survival (DFS). Develop and validate an intuitive nomogram based on radiomics signatures, MRI findings, and clinicopathological variables to predict DFS.Methods: Patients (n = 150) from two hospitals who received NAC from August 2011 to May 2017 were diagnosed with TNBC by pathological biopsy, and follow-up through May 2020 was retrospectively analysed. Patients from one hospital (n = 109) were used as the training group, and patients from the other hospital (n = 41) were used as the validation group. ROIs were drawn on 1.5 T MRI T1W enhancement images of the whole volume of the tumour obtained with a 3D slicer. Radiomics signatures predicting DFS were identified, optimal cut-off value for Rad-score was determined, and the associations between DFS and radiomics signatures, MRI findings, and clinicopathological variables were analysed. A nomogram was developed and validated for individualized DFS estimation.Results: The median follow-up time was 53.5 months, and 45 of 150 (30.0%) patients experienced recurrence and metastasis. The optimum cut-off value of the Rad-score was 0.2528, which stratified patients into high- and low-risk groups for DFS in the training group (p<0.001) and was validated in the external validation group. Multivariate analysis identified three independent indicators: multifocal/centric disease status, pCR status, and Rad-score. A nomogram based on these factors showed discriminatory ability, the C-index of the model was 0.834 (95% CI, 0.761–0.907) and 0.868 (95% CI, 0.787–949) in the training and the validation groups, respectively, which is better than clinicoradiological nomogram(training group: C-index = 0.726, 95% CI = 0.709–0.743; validation group: C-index = 0.774,95% CI = 0.743–0.805).Conclusion: The Rad-score derived from preoperative MRI features is an independent biomarker for DFS prediction in patients with TNBC to NAC, and the combined radiomics nomogram improved individualized DFS estimation.

Subsequent pregnancy and long-term safety from breast cancer patients.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13575-e13575
Author(s):  
Yunyeong Kim ◽  
Minsun Kang ◽  
Jaehun Jung ◽  
Eun Kyung Cho ◽  
Heung Kyu Park ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Disease Free Survival ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Tumor Subtypes ◽  
Study Population ◽  
Disease Free

e13575 Background: Long-term safety of pregnancy after breast cancer still remained controversial, especially according to tumor subtypes. Prior results of other studies have limitations of short follow-up periods or small groups. Methods: We analyzed a population-based retrospective cohort data extracted from a random sample of 50% of women aged between 20 and 60 years who were diagnosed with breast cancer from 2002 to 2017 in the Korean National Health Insurance Service database. Propensity score matching analysis for age and Charlson Comorbidity Index (CCI) variables was performed for pregnant groups and non-pregnant groups with the same type of hormone therapy, chemotherapy and surgery. Study population was categorized to 4 biologic subgroups by the combination of hormone therapy, chemotherapy and target therapy. In this observational study, 1,566 patients with pregnancy after breast cancer were matched (1:2) to 2,462 non-pregnant patients of similar characteristics, adjusting for guaranteed bias. The matched patients were followed up to 7 years, or disease and mortality occurrence after the diagnosis of breast cancer. Survival estimates were calculated using the Kaplan-Meier analysis, groups were compared with the log-rank test. Results: Mean time from diagnosis to pregnancy was 3.4 years in study population. At a follow-up of 7 years after pregnancy, no inferiority in disease-free survival and overall survival was observed in pregnant patients factoring in treatment bias. In sub-analysis according to tumor subtypes, no difference in disease-free survival was observed between pregnant and non-pregnant patients in HR-positive and triple negative subgroup ( p= 0.088, p= 0.048, respectively). Likewise, no overall survival difference was observed in ER-positive patients and triple negative patients ( p= 0.05∼0.73, p= 0.03∼0.09, respectively). Conclusions: Our observational data provides reassuring evidence on long-term safety of pregnancy in young breast cancer patients, regardless of tumor subtypes.

Radiomics features on ultrasound imaging for the prediction of disease-free survival in triple negative breast cancer: a multi-institutional study

2021 ◽  
pp. 20210188
Author(s):  
Feihong Yu ◽  
Jing Hang ◽  
Jing Deng ◽  
Bin Yang ◽  
Jianxiang Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Validation Cohort ◽  
External Validation ◽  
Disease Free Survival ◽  
Internal Validation ◽  
Free Survival ◽  
Clinicopathological Variables ◽  
Disease Free ◽  
Radiomics Signature

Objectives: To explore the predictive value of radiomics nomogram using pretreatment ultrasound for disease-free survival (DFS) after resection of triple negative breast cancer (TNBC). Methods and materials: A total of 486 TNBC patients from 3 different institutions were consecutively recruited for this study. They were categorized into the primary cohort (n = 216), as well as the internal validation cohort (n = 108) and external validation cohort (n = 162). In primary cohort, least absolute shrinkage and selection operator logistic regression algorithm was used to select recurrence-related radiomics features extracted from the breast tumor and peritumor regions, and a radiomics signature was constructed derived from the grayscale ultrasound images. A radiomic nomogram integrating independent clinicopathological variables and radiomic signature was established with uni- and multivariate cox regressions. The predictive nomogram was validated using an internal cohort and an independent external cohort regarding abilities of discrimination, calibration and clinical usefulness. Results: The patients with higher Rad-score had a worse prognostic outcome than those with lower Rad-score in primary cohort and two validation cohorts (All p < 0.05).The radiomics nomogram indicated more effective prognostic performance compared with the clinicopathological model and tumor node metastasis staging system (p < 0.01), with a training C-index of 0.75 (95% confidence interval (CI), 0.71–0.80), an internal validation C-index of 0.73 (95% CI, 0.69–0.78) and an external validation 0.71 (95% CI,0.66–0.76). Moreover, the calibration curves revealed a good consistency for survival prediction of the radiomics model. Conclusions: The ultrasound-based radiomics signature was a promising biomarker for risk stratification for TNBC patients. Furthermore, the proposed radiomics modal integrating the optimal radiomics features and clinical data provided individual relapse risk accurately. Advances in knowledge: The radiomics model integrating radiomic signature and independent clinicopathological variables could improve individual prognostic evaluation and facilitate therapeutic decision-making, which demonstrated the incremental value of the radiomics signature for prognostic prediction in TNBC.

Development of prognostic nomograms using institutional data for patients with triple-negative breast cancer

2021 ◽  
Author(s):  
Jie-Yu Zhou ◽  
Kang-Kang Lu ◽  
Wei-Da Fu ◽  
Hao Shi ◽  
Jun-Wei Gu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Predictive Accuracy ◽  
Area Under The Curve ◽  
Disease Free Survival ◽  
Discriminative Ability ◽  
Free Survival ◽  
Disease Free

Background: Triple-negative breast cancer (TNBC) is an aggressive disease. Nomograms can predict prognosis of patients with TNBC. Methods: A total of 745 eligible TNBC patients were recruited and randomly divided into training and validation groups. Endpoints were disease-free survival and overall survival. Concordance index, area under the curve and calibration curves were used to analyze the predictive accuracy and discriminative ability of nomograms. Results: Based on the training cohort, neutrophil-to-lymphocyte ratio, positive lymph nodes, tumor size and tumor-infiltrating lymphocytes were used to construct a nomogram for disease-free survival. In addition, age was added to the overall survival nomogram. Conclusion: The current study developed and validated well-calibrated nomograms for predicting disease-free survival and overall survival in patients with TNBC.

scholarly journals Adjuvant Letrozole and Tamoxifen Alone or Sequentially for Postmenopausal Women With Hormone Receptor–Positive Breast Cancer: Long-Term Follow-Up of the BIG 1-98 Trial

2019 ◽  
Vol 37 (2) ◽  
pp. 105-114 ◽  
Author(s):  
Thomas Ruhstaller ◽  
Anita Giobbie-Hurder ◽  
Marco Colleoni ◽  
Maj-Britt Jensen ◽  
Bent Ejlertsen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Adverse Events ◽  
Contralateral Breast Cancer ◽  
Disease Free Survival ◽  
Luminal Breast Cancer ◽  
Free Survival ◽  
Long Term Follow Up ◽  
Disease Free

Purpose Luminal breast cancer has a long natural history, with recurrences continuing beyond 10 years after diagnosis. We analyzed long-term follow-up (LTFU) of efficacy outcomes and adverse events in the Breast International Group (BIG) 1-98 study reported after a median follow-up of 12.6 years. Patients and Methods BIG 1-98 is a four-arm, phase III, double-blind, randomized trial comparing adjuvant letrozole versus tamoxifen (either treatment received for 5 years) and their sequences (2 years of one treatment plus 3 years of the other) for postmenopausal women with endocrine-responsive early breast cancer. When pharmaceutical company sponsorship ended at 8.4 years of median follow-up, academic partners initiated an observational, LTFU extension collecting annual data on survival, disease status, and adverse events. Information from Denmark was from the Danish Breast Cancer Cooperative Group Registry. Intention-to-treat analyses are reported. Results Of 8,010 enrolled patients, 4,433 were alive and not withdrawn at an LTFU participating center, and 3,833 (86%) had at least one LTFU report. For the monotherapy comparison of letrozole versus tamoxifen, we found a 9% relative reduction in the hazard of a disease-free survival event with letrozole (hazard ratio [HR], 0.91; 95% CI, 0.81 to 1.01). HRs for other efficacy end points were similar to those for disease-free survival. Efficacy of letrozole versus tamoxifen for contralateral breast cancer varied significantly over time (0- to 5-, 5- to 10-, and > 10-year HRs, 0.62, 0.47, and 1.35, respectively; treatment-by-time interaction P = .005), perhaps reflecting a longer carryover effect of tamoxifen. Reporting of specific long-term adverse events seemed more effective with national registry than with case-record reporting of clinical follow-up. Conclusion Efficacy end points continued to show trends favoring letrozole. Letrozole reduced contralateral breast cancer frequency in the first 10 years, but this reversed beyond 10 years. This study illustrates the value of extended follow-up in trials of luminal breast cancer.

scholarly journals AKAP3 correlates with triple negative status and disease free survival in breast cancer

BMC Cancer ◽  
2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Rezvan Esmaeili ◽  
Keivan Majidzadeh-A ◽  
Leila Farahmand ◽  
Maryam Ghasemi ◽  
Malihe Salehi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Disease Free Survival ◽  
Free Survival ◽  
Disease Free

5-Year Results of Dose-Intensive Sequential Adjuvant Chemotherapy for Women With High-Risk Node-Positive Breast Cancer: A Phase II Study

1999 ◽  
Vol 17 (4) ◽  
pp. 1118-1118 ◽  
Author(s):  
C. Hudis ◽  
M. Fornier ◽  
L. Riccio ◽  
D. Lebwohl ◽  
J. Crown ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Pilot Study ◽  
Adjuvant Chemotherapy ◽  
Disease Free Survival ◽  
Free Survival ◽  
Dose Dense ◽  
Disease Free

PURPOSE: We conducted a phase II pilot study of dose-intensive adjuvant chemotherapy with doxorubicin followed sequentially by high-dose cyclophosphamide to determine the safety and feasibility of this dose-dense treatment and to estimate the disease-free and overall survival in breast cancer patients with four or more involved axillary lymph nodes. PATIENTS AND METHODS: Seventy-three patients received adjuvant treatment with four cycles of doxorubicin 75 mg/m2 as an intravenous bolus every 21 days, followed by three cycles of cyclophosphamide 3,000 mg/m2 every 14 days with granulocyte colony-stimulating factor support. RESULTS: Seventy-one patients were assessable, and all but two completed all planned chemotherapy. There was no treatment-related mortality. The most common toxicity was neutropenic fever, which occurred in 39% of patients. Median disease-free survival is 66 months (95% confidence interval, 34 to 98 months), and median overall survival has not yet been reached. At 5 years of follow-up, the disease-free survival is 51.7%, and overall survival is 60.0%. There is no long-term treatment-related toxicity, and no cases of acute myelogenous leukemia or myelodysplastic syndrome have been observed. CONCLUSION: Our pilot study of doxorubicin followed by cyclophosphamide demonstrates the safety and feasibility of the sequential dose-dense plan. Long-term follow-up, although noncomparative, is promising. However, this regimen is associated with a higher incidence of toxicity (and also higher costs) than the standard dose and schedule of doxorubicin and cyclophosphamide, and therefore it should not be used as conventional therapy in the absence of demonstrated improvement of outcome. Randomized trials testing the dose-dense approach have been completed but not yet reported. Because the sequential plan can decrease overlapping toxicities, it is an appropriate platform for the addition of newer active agents, such as taxanes or monoclonal antibodies.

scholarly journals Tumor PIK3CA Genotype and Prognosis in Early-Stage Breast Cancer: A Pooled Analysis of Individual Patient Data

2018 ◽  
Vol 36 (10) ◽  
pp. 981-990 ◽  
Author(s):  
Dimitrios Zardavas ◽  
Luc te Marvelde ◽  
Roger L. Milne ◽  
Debora Fumagalli ◽  
George Fountzilas ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Individual Patient Data ◽  
Disease Free Survival ◽  
Pooled Analysis ◽  
Patient Data ◽  
Lower Grade ◽  
Free Survival ◽  
Pik3ca Mutations ◽  
Disease Free

Purpose Phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit alpha ( PIK3CA) mutations are frequently observed in primary breast cancer. We evaluated their prognostic relevance by performing a pooled analysis of individual patient data. Patients and Methods Associations between PIK3CA status and clinicopathologic characteristics were tested by applying Cox regression models adjusted for age, tumor size, nodes, grade, estrogen receptor (ER) status, human epidermal growth factor receptor 2 (HER2) status, treatment, and study. Invasive disease-free survival (IDFS) was the primary end point; distant disease-free survival (DDFS) and overall survival (OS) were also assessed, overall and by breast cancer subtypes. Results Data from 10,319 patients from 19 studies were included (median OS follow-up, 6.9 years); 1,787 patients (17%) received chemotherapy, 4,036 (39%) received endocrine monotherapy, 3,583 (35%) received both, and 913 (9%) received none or their treatment was unknown. PIK3CA mutations occurred in 32% of patients, with significant associations with ER positivity, increasing age, lower grade, and smaller size (all P < .001). Prevalence of PIK3CA mutations was 18%, 22%, and 37% in the ER-negative/HER2-negative, HER2-positive, and ER-positive/HER2-negative subtypes, respectively. In univariable analysis, PIK3CA mutations were associated with better IDFS (HR, 0.77; 95% CI, 0.71 to 0.84; P < .001), with evidence for a stronger effect in the first years of follow-up (0 to 5 years: HR, 0.73; 95% CI, 0.66 to 0.81; P < .001; 5 to 10 years: HR, 0.82; 95% CI, 0.68 to 0.99; P = .037); > 10 years: (HR, 1.15; 95% CI, 0.84 to 1.58; P = .38; P heterogeneity = .02). In multivariable analysis, PIK3CA genotype remained significant for improved IDFS ( P = .043), but not for the DDFS and OS end points. Conclusion In this large pooled analysis, PIK3CA mutations were significantly associated with a better IDFS, DDFS, and OS, but had a lesser prognostic effect after adjustment for other prognostic factors.

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