scholarly journals Assessment of the prognostic and predictive utility of the breast cancer index (BCI): An NCIC CTG MA.14 study.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 561-561
Author(s):  
Dennis Sgroi ◽  
Paul Edward Goss ◽  
Judy-Anne W. Chapman ◽  
E. Richardson ◽  
Shemeica N. Binns ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cox Regression ◽  
Risk Index ◽  
Prospective Trial ◽  
Predictive Performance ◽  
Risk Groups ◽  
Primary Objective ◽  
Prognostic Performance ◽  
Breast Cancer Index ◽  
Significant Difference

561 Background: Breast Cancer Index (BCI), a continuous risk index, combines the ratio of HOXB13 to IL17BR (H/I) and the molecular grade index (MGI) (Jerevall et al., British J Cancer, 2011). Here, the prognostic and predictive performance of BCI for BC relapse in MA.14 trial was examined. Methods: MA.14 randomly assigned 667 hormone receptor positive (HR+) women to 5 years of tamoxifen (TAM) +/- 2 years of octreotide LAR (TAM-OCT). A representative subgroup of 299 patients was profiled by RT-PCR for BCI. The primary objective was to determine the prognostic performance of BCI based on relapse-free survival (RFS) with median 9.8 years follow-up. Association of BCI was assessed with step-wise forward stratified Cox regression. Pre-defined categories of low (L), intermediate (I) and high (H) BCI risk groups were used to provide adjusted 5- and 10-year RFS. Results: 292 of 299 patient samples passed internal analytical quality control. The 292 patients contained 49% LN+ patients and had 19.9% BC relapses. Both continuous and pre-specified BCI risk groups were significant multivariate factors (p<0.0001; p=0.007) with higher BCI associated with shorter RFS. Adjusted univariate hazard ratios and 95% CI were 2.53 (1.36 – 4.71) for BCI-H vs -L and 1.28 (0.65 – 2.52) for BCI-I vs -L. With both LN- and LN+ included, BCI-L had 5- and 10-year RFS of 94.0% and 87.5%; -I, 91.8% and 83.9%; and -H, 81.5% and 74.7%. No significant difference in BCI’s ability to stratify patients into 3 risk groups was observed between LN-/no chemotherapy subgroup vs balance of MA.14 patients (p=0.26). Higher pathologic T-stage was multivariately associated with shorter RFS (p=0.01). Interactions between trial therapy and BCI was not significant (p=0.40). Conclusions: This study confirmed the strong prognostic effect of BCI on breast cancer recurrence. BCI was prognostic in both LN- and LN+ patients. The lower 10-year RFS in the BCI-L group than in our previous studies reflected the mixed LN-/LN+ population examined. Like the parent MA.14 trial, BCI did not predict benefit of adding OCT to TAM therapy (Pritchard et al., J Clin Oncol, 2011). This retrospective study is an independent validation of the prognostic performance of BCI within a prospective trial.

Breast Cancer Index and risk stratification in luminal subtypes: A trans-ATAC study.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 534-534
Author(s):  
Ivana Sestak ◽  
Yi Zhang ◽  
Catherine A. Schnabel ◽  
Jack M. Cuzick ◽  
Mitchell Dowsett
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Cox Regression ◽  
Early Stage ◽  
Risk Groups ◽  
Low Risk ◽  
Luminal A ◽  
Prognostic Information ◽  
Prognostic Performance ◽  
Breast Cancer Index

534 Background: The Breast Cancer Index (BCI) is a gene-expression based signature that provides prognostic information for overall (0-10 years) and late (5-10 years) distant recurrence (DR) and prediction of extended endocrine benefit in hormone receptor positive (HR+) early stage breast cancer. The current analysis aims to further characterize, correlate and compare the prognostic performance of BCI in luminal subtypes based on immunohistochemical classification. Methods: 670 postmenopausal women with HR+, LN- disease from the TransATAC cohort were included in this analysis. Luminal A-like tumors (LumA) were identified as those with ER+ and/or PR+ and HER2 -, and Ki67 < 20% by IHC. All other tumors were classified as Luminal B-like (LumB) for this analysis. Primary endpoint was DR. Cox regression models were used to examine BCI prognostic performance according to luminal subtype, adjusting for the clinicopathological model Clinical Treatment Score (CTS). Results: 452 (67.5%) patients were classified as LumA and 218 (32.5%) as LumB. BCI was highly prognostic in LumA cancers (adjusted HR = 1.57 (1.23-1.96), P < 0.001, ΔLR-χ2= 14.09), but not in LumB tumors (adjusted HR = 1.20 (0.94-1.52, P = 0.14, ΔLR-χ2= 2.23). In LumA, 10-year DR risks in BCI intermediate and high risk groups were very similar (25.6% (16.4-38.6) and 25.3% (13.5-44.3), respectively) and significantly different from BCI low (3.9% (2.1-7.0); HR = 7.47 (3.50-15.96) and HR = 8.13 (3.27-20.23), respectively). In LumB, 10-year DR risks in BCI low and BCI intermediate risk groups (13.8% (6.8-26.9) and 14.6% (8.3-24.9), respectively) were very similar and significantly lower than for the BCI high (29.1% (20.0-41.1)). Lum subtyping was only prognostic in the BCI low risk group (LumA vs. LumB: HR = 4.27 (1.65-11.02)) but not in the other two BCI risk groups. Conclusions: BCI provided significant prognostic information in Lum A subtype. These results show that BCI intermediate and high risk had similar risk of DR in LumA tumors, while shared similarly low risk of DR as BCI-low in LumB tumors. Further evaluation is needed to elucidate the distinct mechanisms underlying each classification system.

scholarly journals The Trade-Off of Post-Mastectomy Radiotherapy Usage for the Breast Cancer Patients Aged 70 Years or Older: A Study Based on SEER Database

2021 ◽  
Author(s):  
Jingyi Lin ◽  
Shiping Luo ◽  
Jie Zhang ◽  
Chuangui Song
Keyword(s):  
Breast Cancer ◽  
Elderly Patients ◽  
Cox Regression ◽  
Predictive Accuracy ◽  
Risk Groups ◽  
Low Risk ◽  
Risk Scores ◽  
Seer Database ◽  
Significant Difference ◽  
Her 2

Abstract Introduction: This study aimed to investigate the role of post-mastectomy radiotherapy (PMRT) in the female aged 70 years or older diagnosed with breast cancer, which is still controversial.Methods: This retrospective study enrolled women aged 70+ years diagnosed with breast cancer between 2004 and 2016 following mastectomy from the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching (PSM) was performed to reduce covariable imbalance. A nomogram was created to predict the 1,3,5-years overall survival (OS) of elderly patients based on the the univariable and multivariable COX regression model results. The X-tile software determined the optimal cutoff value of risk scores from the nomogram and divided patients into three risk groups. Results: Of the 27,636 females were eligible, 17.2% (n=4,747) received PMRT while 82,8% (n=22889) not. After 1:1 matching, PMRT were associated with significant improvement in breast cause-specific survival (BCSS) and OS (p <0.001). By contrast, the BCSS and OS benefit from PMRT were not significant in patients with T1N1 tumor (BCSS：HR = 0.716，p = 0.249；OS：HR = 0.908，p = 0.572), and T2N1 tumor (BCSS：HR = 0.866，p = 0.289；OS：HR = 0.879，p = 0.166). Stratified by subtype, the HR+/HER-2- subtype and the HR-/HER-2- subtype (all p<0.001) have a significant prolonged survival, yet not significant difference are shown in the HER-2+ tumor. The nomogram has high predictive accuracy and discrimination, and well distinguish three risk groups. In the low-risk group, PMRT didn't significantly better OS (p=0.203).Conclusions: This study demonstrated that post-mastectomy radiotherapy improves the survival of females with elderly breast cancer. After a comprehensive assessment of the side effects and the quality of life, the omission of PMRT could be considered in patients with T1-2N1 breast cancer. Furthermore, the nomogram we constructed could be used as a decision tool for the omission of PMRT in low-risk elderly patients.

scholarly journals Interplay of tRNA-Derived Fragments and T Cell Activation in Breast Cancer Patient Survival

Cancers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2230 ◽  
Author(s):  
Nayang Shan ◽  
Ningshan Li ◽  
Qile Dai ◽  
Lin Hou ◽  
Xiting Yan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
T Cell ◽  
Cancer Patient ◽  
Breast Cancer Patient ◽  
T Cell Activation ◽  
Cell Activation ◽  
Cox Regression ◽  
Patient Survival ◽  
Significant Difference

Effector CD8+ T cell activation and its cytotoxic function are positively correlated with improved survival in breast cancer. tRNA-derived fragments (tRFs) have recently been found to be involved in gene regulation in cancer progression. However, it is unclear how interactions between expression of tRFs and T cell activation affect breast cancer patient survival. We used Kaplan–Meier survival and multivariate Cox regression models to evaluate the effect of interactions between expression of tRFs and T cell activation on survival in 1081 breast cancer patients. Spearman correlation analysis and weighted gene co-expression network analysis were conducted to identify genes and pathways that were associated with tRFs. tRFdb-5024a, 5P_tRNA-Leu-CAA-4-1, and ts-49 were positively associated with overall survival, while ts-34 and ts-58 were negatively associated with overall survival. Significant interactions were detected between T cell activation and ts-34 and ts-49. In the T cell exhaustion group, patients with a low level of ts-34 or a high level of ts-49 showed improved survival. In contrast, there was no significant difference in the activation group. Breast cancer related pathways were identified for the five tRFs. In conclusion, the identified five tRFs associated with overall survival may serve as therapeutic targets and improve immunotherapy in breast cancer.

Computational identification of mutator-derived lncRNA signatures of genome instability for improving the clinical outcome of cancers: a case study in breast cancer

2019 ◽  
Vol 21 (5) ◽  
pp. 1742-1755 ◽  
Author(s):  
Siqi Bao ◽  
Hengqiang Zhao ◽  
Jian Yuan ◽  
Dandan Fan ◽  
Zicheng Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Genomic Instability ◽  
Genome Instability ◽  
Risk Group ◽  
Expression Profiles ◽  
Risk Groups ◽  
Low Risk ◽  
A Genome ◽  
Significant Difference

Abstract Emerging evidence revealed the critical roles of long non-coding RNAs (lncRNAs) in maintaining genomic instability. However, identification of genome instability-associated lncRNAs and their clinical significance in cancers remain largely unexplored. Here, we developed a mutator hypothesis-derived computational frame combining lncRNA expression profiles and somatic mutation profiles in a tumor genome and identified 128 novel genomic instability-associated lncRNAs in breast cancer as a case study. We then identified a genome instability-derived two lncRNA-based gene signature (GILncSig) that stratified patients into high- and low-risk groups with significantly different outcome and was further validated in multiple independent patient cohorts. Furthermore, the GILncSig correlated with genomic mutation rate in both ovarian cancer and breast cancer, indicating its potential as a measurement of the degree of genome instability. The GILncSig was able to divide TP53 wide-type patients into two risk groups, with the low-risk group showing significantly improved outcome and the high-risk group showing no significant difference compared with those with TP53 mutation. In summary, this study provided a critical approach and resource for further studies examining the role of lncRNAs in genome instability and introduced a potential new avenue for identifying genomic instability-associated cancer biomarkers.

Hematopoietic Cell Transplant Co-Morbidity Index (HCTCI) and Multiple Myeloma (MM) Survival After Autologous Hematopoietic Cell Transplantation (AHCT)

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 4217-4217
Author(s):  
Anuj Mahindra ◽  
Ayman A Saad ◽  
Mei-Jie Zhang ◽  
Xiaobo Zhong ◽  
Angela Dispenzieri ◽  
...  
Keyword(s):  
Dose Reduction ◽  
Cox Regression ◽  
Conflicts Of Interest ◽  
Risk Groups ◽  
Hematopoietic Cell ◽  
High Dose ◽  
Cell Transplant ◽  
Co Morbidity ◽  
Significant Difference ◽  
The Impact

Abstract Abstract 4217 Background: AHCT improves survival (OS) in newly diagnosed MM patients (pts) in large randomized trials. These trials have limited eligibility to younger, healthier pts. Selection of older pts and those with co-morbid illness for AHCT is problematic. HCT-CI, originally developed as predictor of post-allogeneic transplant outcomes, maybe valuable in stratifying risk of transplant related mortality (TRM) risk and OS in the AHCT setting. We investigated the relative impact of HCT CI along with other patient and MM related variables on outcomes after AHCT in a large cohort of transplant recipients. Methods: Outcomes of 1156 MM pts receiving AHCT after high dose Melphalan (MEL) between 2007 and 2010 reported to the CIBMTR (Center for International Blood and Marrow Transplant Research) were analyzed. HCTCI scores and individual comorbidities were prospectively reported at time of AHCT. Median follow up of survivors was 26 month. The impact of HCTCI and other potential prognostic factors including Karnofsky performance status (KPS) on OS were studied in multivariate Cox regression models. Results: HCTCI score was 0, 1, 2, 3, >3 in 42%, 18%, 13%, 13% and 14% respectively. Most common co-morbidities included pulmonary, diabetes, obesity, psychiatric, cardiac, renal and prior solid tumor. Using consolidated HCTCI scores, patients were stratified initially into 3 risk groups – HCTCI 0 (42%) vs. HCTCI 1–2 (32%) vs. HCTCI >2 (26%). Males and Caucasians were more likely to have greater HCTCI score. Higher HCTCI was associated with lower KPS <90 (33% in HCTCI 0 cohort vs. 50% in HCTCI >2). HCTCI score >2 was associated with MEL dose reduction to 140 mg/m2 (22% vs. 10% in score 0 cohort). Cytogenetic risk and MM related factors were not correlated with HCTCI. TRM at 12 month was 2%, 2%, and 3% for 3 risk groups. With extremely few TRM events, multivariate analysis did not suggest an impact of HCTCI. OS was 95%, 92%, 92% at 1 year and 87%, 81%, 80% at 2 year, respectively. OS was inferior for HCTCI >2 cohort (RR of death 1.48, p=0.02) and HCTCI cohort 1–2 (RR 1.37, p=0.04) compared with HCTCI 0 cohort. There was no significant difference in OS between HCTCI >2 vs. HCTCI 1–2 (p=0.64). Therefore the latter 2 groups were combined as the HCTCI >0 cohort [N=667] and compared with HCTCI=0 [N=489] in multivariate models. HCTCI >0 predicted inferior OS (RR of death= 1.41, p=0.01). Other significant predictors of inferior survival were KPS <90 (RR of death 1.61, p<0.01), IgA subtype (RR 1.64, p<0.01), >1 pretransplant regimen (RR 1.47, p<0.01), resistant MM at AHCT (RR 1.78, p<0.01). Major cause of death in both groups was progressive MM. Conclusion: In clinical practice, higher HCTCI score was associated with MEL dose reduction. Mortality after AHCT is predominantly related to MM progression/relapse with low incidence of TRM. Higher HCTCI scores were independently associated with inferior OS. KPS remains an important tool for risk stratification. Disclosures: No relevant conflicts of interest to declare.

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 .

scholarly journals Postmastectomy radiotherapy after neoadjuvant chemotherapy in cT1-2N+ breast cancer patients: a single center experience and review of current literature

2022 ◽  
Author(s):  
Meng Luo ◽  
Huihui Chen ◽  
Hao Deng ◽  
Yao Jin ◽  
Gui Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Cox Regression ◽  
Medical Center ◽  
Clinical Stage ◽  
Disease Free Survival ◽  
Her2 Overexpression ◽  
Breast Cancer Patients ◽  
Significant Difference

Abstract PurposePostmastectomy radiotherapy (PMRT) after NAC in breast cancer patients with initial clinical stage cT1−2N+, especially for those who achieved ypT1−2N0, is still controversial. This study was to evaluate the survival prognosis of cT1−2N+ patients after NAC with or without PMRT, and to discuss the selection of patients who may omit PMRT.Patients and MethodsFrom January 2005 to December 2017, 3055 female breast cancer patients underwent mastectomy in our medical center, among whom 215 patients of cT1−2N+ stage, receiving neoadjuvant chemotherapy (NAC) with or without PMRT were finally analyzed. The median follow-up duration was 72.6 months. The primary endpoint was overall survival, and the secondary endpoint was disease-free survival. Comparison was conducted between PMRT and non-PMRT subgroups.ResultsOf the 215 eligible patients, 35.8% (77/215) cT1−2N+ patients achieved ypT0−2N0 after NAC while 64.2% (138/215) of the patients remained nodal positive (ypT0−2N+). The 5-year DFS of ypT0−2N0 non-PMRT was 79.5% (95% confidence interval [CI] 63.4-95.6%). No statistically significant difference was observed between the ypT0−2N0 PMRT and non-PMRT subgroups for the 5-year DFS (78.5% vs 79.5%, p = 0.673) and OS (88.8% vs 90.8%, p = 0.721). The 5-years DFS didn’t obviously differ between the ypT0−2N0 non-PMRT subgroup and cT1−2N0 subgroup (79.5% vs 93.3%, p = 0.070). By using Cox regression model in multivariate analyses of prognosis in ypT0−2N+ PMRT subgroup, HER2 overexpression and triple-negative breast cancer were significantly poor predictors of DFS and OS, while ypN stage was significant independent predictors of OS.ConclusionAn excellent response to NAC (ypT0−2N0) indicates a sufficiently favorable prognosis, and PMRT might be omitted for cT1−2N+ breast cancer patients with ypT0−2N0 after NAC.

scholarly journals Establishment and Validation of a Novel Metabolism-related Gene Signature for Predicting Overall Survival of Patients with Breast Cancer

2021 ◽  
Author(s):  
Jian Li ◽  
Yang Liu ◽  
Fei Liu ◽  
Qiang Tian ◽  
Baojiang Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cox Regression ◽  
Treatment Strategies ◽  
Enrichment Analysis ◽  
Risk Groups ◽  
Gene Signature ◽  
Gene Set Enrichment Analysis ◽  
Current Status ◽  
Lasso Regression ◽  
Related Gene

Abstract It is well known that Breast cancer is a heterogeneous disease.Although the current recurrence and mortality rate have been greatly improved, many people still suffer relapse and metastasis.Metabolic reprograming is currently considered to be a new hallmark of cancer.Therefore,in this study, we comprehensively analyzed the prognostic effect of metabolic-related gene signatures in breast cancer and its relationship with the immune microenvironment.We constructed a novel metabolic-related gene signature containing 6 genes to distinguish between high and low risk groups by univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression, and validated its robustness and accuracy through multiple databases.The metabolic gene signature may be an independent risk factor for BC both in the training and the testing set,the nomogram has a moderately accurate performance,and the C index was 0.757 and 0.728 respectively.The signature can reveal metabolic characteristics based on gene set enrichment analysis and at the same time monitor the status of TME.This gene signature can be used as a promising independent prognostic marker for BC patients, and can indicate the current status of TME, providing more clues for exploring new diagnostic and treatment strategies.

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