Prognostic relevance of biological subtype overrides that of TNM staging in breast cancer: discordance between stage and biology

Comparison of Genomic Profiling Data with Clinical Parameters: Implications for Breast Cancer Prognosis

Simple Summary

Around 20 years ago, genomic profiling of breast carcinomas identified tumor subtypes with clinical implications and opened the door for a better understanding of breast cancer biology. The commercialization of multigene tests had a significant impact on clinical practice, and yet, controversy exists as to which methodology is best to inform the choice of therapy and existing recommendations are inconsistent and often driven by cost-effectiveness. Here we report data from a cohort of breast cancer patients in which pathological and molecular subtyping are directly compared in a clinical setting. The findings show that some patients with genomic low-risk tumors could receive unnecessary systemic therapy if only following the classical clinical parameters, while others could remain under-treated. This study suggests that to design precise treatment regimens for patients with early breast cancer, the conventional clinicopathological classification should be complemented with the robust prognostic information provided by molecular subtyping.

Abstract

Precise prognosis is crucial for selection of adjuvant therapy in breast cancer. Molecular subtyping is increasingly used to complement immunohistochemical and pathological classification and to predict recurrence. This study compares both outcomes in a clinical setting. Molecular subtyping (MammaPrint^®, TargetPrint^®, and BluePrint^®) and pathological classification data were compared in a cohort of 143 breast cancer patients. High risk clinical factors were defined by a value of the proliferation factor Ki67 equal or higher than 14% and/or high histological grade. The results from molecular classification were considered as reference. Core needle biopsies were found to be comparable to surgery samples for molecular classification. Discrepancies were found between molecular and pathological subtyping of the samples, including misclassification of HER2-positive tumors and the identification of a significant percentage of genomic high risk T1N0 tumors. In addition, 20% of clinical low-risk tumors showed genomic high risk, while clinical high-risk samples included 42% of cases with genomic low risk. According to pathological subtyping, a considerable number of breast cancer patients would not receive the appropriate systemic therapy. Our findings support the need to determine the molecular subtype of invasive breast tumors to improve breast cancer management.

Long non-coding RNA LINC00968 attenuates drug resistance of breast cancer cells through inhibiting the Wnt2/β-catenin signaling pathway by regulating WNT2

Background

Breast cancer is one the most common cancers, making it the second leading cause of cancer-related death among women. Long non-coding RNAs (lncRNAs), with tightly regulated expression patterns, also serve as tumor suppressor during tumorigenesis. The present study aimed to elucidate the role of LINC00968 in breast cancer via WNT2-mediated Wnt2/β-catenin signaling pathway.

Methods

Breast cancer chip GSE26910 was utilized to identify differential expression in LINC00968 and WNT2. The possible relationship among LINC00968, transcriptional repressor HEY and WNT2 was analyzed and then verified. Effects of LINC00968 on activation of the Wnt2/β-catenin signaling pathway was also tested. Drug resistance, colony formation, cell migration, invasion ability and cell apoptosis after transfection were also determined. Furthermore, tumor xenograft in nude mice was performed to test tumor growth and weight in vivo.

Results

WNT2 expression exhibited at a high level, whereas LINC00968 at a low expression in breast cancer which was also associated with poor prognosis in patients. LINC00968 targeted and negatively regulated WNT2 potentially via HEY1. Either overexpressed LINC00968 or silenced inhibited activation of the Wnt2/β-catenin signaling pathway, thereby reducing drug resistance, decreasing colony formation ability, as well as suppressing migration and invasion abilities of breast cancer cells in addition to inducing apoptosis. Lastly, in vivo experiment suggested that LINC00968 overexpression also suppressed transplanted tumor growth in nude mice.

Conclusion

Collectively, overexpressed LINC00968 contributes to reduced drug resistance in breast cancer cells by inhibiting the activation of the Wnt2/β-catenin signaling pathway through silencing WNT2. This study offers a new target for the development of breast cancer treatment.

Breast Cancer in Basra Oncology Center: A Clinico- Epidemiological Analysis

Background: Breast cancer is the most common cancer affecting women, and the leading cause of cancer-related deaths. Objective: This study was performed to evaluate clinico-epidemiological features of breast cancer from Iraq during a five-year period. Methodology: This is a retrospective descriptive study. Medical notes and histopathological reports of patients with confirmed diagnosis of breast cancer between January 2011 and December 2015 were reviewed for age, gender, site, laterality, histopathological type, grade of differentiation and TNM stage at diagnosis. Results: A total of 1,000 patients were included in the study. Mean age at diagnosis was 50 years (range 22-85 years), and females constituted 99.2% of cases. Most cases (98.7%) were unilateral and most common (85.5%) histological subtype was invasive ductal carcinoma. Majority of the cases (58%) were moderately differentiated (grade II), wherein 45% belonged to stage II in TNM system, and nearly half (49%) of patients had locally advanced or metastatic cancer. Conclusion: Breast cancer presents at least a decade earlier and at a more advanced stage in Iraqi women when compared to the Western World. Steps for early detection are essential for initiation of prompt therapy and reduction of mortality.

Evaluation of the prognostic stage in the 8th edition of the American Joint Committee on Cancer in locally advanced breast cancer: An analysis based on SEER 18 database

BACKGROUND

The new "prognostic stage" in the 8th edition of the American Joint Committee on Cancer (AJCC) incorporated important biologic factors such as estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER2), histologic grade and TNM stage into one system. The objective of this study was to evaluate the "prognostic stage" in locally advanced breast cancer (LABC) based on the Surveillance, Epidemiology, and End Results (SEER) 18 database.

METHODS

10053 LABCs diagnosed between 2010 and 2013 were enrolled. TNM stage was based on AJCC 7th edition. Comparisons of biologic factor proportions among stage changes were performed using Pearson's chi-square test. Breast cancer-specific survival (BCSS) and overall survival (OS) were estimated using the Kaplan-Meier method and log rank testing with pairwise comparisons between different stages was conducted. Cox models were fitted to assess the independent prognostic factors.

RESULTS

The prognostic stage grouped LABC into six stages: IB-IIIC among which IB-IIIA had a relatively better survival. It reassigned 74% LABCs to a different tumor stage. 60.4% cases in grade III and 68.3% cases with triple negative breast cancer were upstaged while 57.1% cases with ER/PR dual positivity were down staged. It was an independent prognostic factor of LABC. There were statistically significant survival differences among stage IB-IIIA, IIIB and IIIC. Among each TNM stage, there were statistically significant survival differences among stage changes.

CONCLUSIONS

The prognostic stage provided accurate prognostic information for LABC compared with anatomic TNM stage. It will lead to accuracy in prognosis prediction and optimal treatment selection, and therefore, better outcomes.

Prognostically Distinctive Subgroup in Pathologic N3 Breast Cancer

Purpose

The aim of this retrospective study was to investigate whether there are prognostically different subgroups among patients with pathologic N3 (pN3) breast cancer.

Methods

The records of 220 patients who underwent surgery for pN3 breast cancer from January 2006 to September 2012 were reviewed. All patients received adjuvant therapy according to standard protocols. The primary outcome was disease-free survival (DFS).

Results

Patients were followed for a median time of 68.3 months after their primary surgery (range, 10–122 months), during which time 75 patients (34.1%) had developed disease recurrence and 48 patients (21.8%) had died. The DFS and overall survival were 67.8% and 86.1%, respectively, at 5 years. Multiple logistic regression analysis showed that young age (<35 years, p=0.009), high serum neutrophil/lymphocyte ratio (>3.0) (p=0.020), high nodal ratio (number of metastatic lymph nodes divided by number of removed nodes) (>0.65) (p=0.062), and molecular phenotype (p=0.012) were significantly associated with tumor recurrence. Tumor biological subtype was the most significant predictor of recurrence. The 5-year DFS rates in patients with hormone receptor (HR) positive and human epidermal growth factor receptor 2 (HER2) negative, HR+HER2+, HR–HER2+, and triple negative subtypes were 82%, 63%, 58%, and 37%, respectively.

Conclusion

Clinical outcomes of patients with extensive nodal metastasis were heterogeneous in terms of prognosis. Tumor biological subtype was the most important prognostic factor for pN3 disease. The prognosis of patients with HR+HER2– subtype in pN3 breast cancer was similar to that of patients with stage II breast cancer.

The tumor-to-breast volume ratio (TBR) predicts cancer-specific survival in breast cancer patients who underwent modified radical mastectomy

Breast cancer is the most common cancer in women globally, and tumor size measured as the largest diameter of the tumor focus is currently used in tumor-lymph node-metastasis (TNM) staging for prognosis and treatment decisions. The present study utilized the tumor-to-breast volume ratio (TBR) to evaluate the relative tumor size and determined the prognostic impact of TBR on survival in patients with breast cancer. Two thousand twenty-five consecutive breast cancer patients who underwent modified radical mastectomy between January 2002 and December 2008 at Sun Yat-Sen University Cancer Center were enrolled in this retrospective study. Kaplan-Meier analysis was used to assess the prognostic effect of TBR on cancer-specific survival (CSS), and univariate log-rank test and multivariate Cox proportional hazards regression model were performed to identify independent prognostic factors. The optimal cutoff value of TBR was determined to be 1.70 %, and 1473 and 552 patients were categorized to low-TBR and high-TBR groups, respectively. In the whole patient cohort, CSS was significantly shorter in the high-TBR group (110.2 vs 128.5 months, P < 0.001). Univariate and multivariate analyses revealed that TBR was an independent prognostic factor of CSS in breast cancer patients (hazard ratio (HR) 1.489, 95 % CI 1.130-1.961, P = 0.005). High TBR was independently associated with poor prognosis in breast cancer patients. This variable may serve as a valuable parameter to predict the outcomes of breast cancer.

The Practicability of a Novel Prognostic Index (PI) Model and Comparison with Nottingham Prognostic Index (NPI) in Stage I-III Breast Cancer Patients Undergoing Surgical Treatment

Background

Previous studies have indicated the prognostic value of various laboratory parameters in cancer patients. This study was to establish a prognostic index (PI) model for breast cancer patients based on the potential prognostic factors.

Methods

A retrospective study of 1661 breast cancer patients who underwent surgical treatment between January 2002 and December 2008 at Sun Yat-sen University Cancer Center was conducted. Multivariate analysis (Cox regression model) was performed to determine the independent prognostic factors and a prognostic index (PI) model was devised based on these factors. Survival analyses were used to estimate the prognostic value of PI, and the discriminatory ability of PI was compared with Nottingham Prognostic Index (NPI) by evaluating the area under the receiver operating characteristics curves (AUC).

Results

The mean survival time of all participants was 123.6 months. The preoperative globulin >30.0g/L, triglyceride >1.10mmol/L and fibrinogen >2.83g/L were identified as risk factors for shorter cancer-specific survival. The novel prognostic index model was established and enrolled patients were classified as low- (1168 patients, 70.3%), moderate- (410 patients, 24.7%) and high-risk groups (83 patients, 5.0%), respectively. Compared with the low-risk group, higher risks of poor clinical outcome were indicated in the moderate-risk group [Hazard ratio (HR): 1.513, 95% confidence interval (CI): 1.169–1.959, p = 0.002] and high-risk group (HR: 2.481, 95%CI: 1.653–3.724, p< 0.001).

Conclusions

The prognostic index based on three laboratory parameters was a novel and practicable prognostic tool. It may serve as complement to help predict postoperative survival in breast cancer patients.

The preoperative plasma fibrinogen level is an independent prognostic factor for overall survival of breast cancer patients who underwent surgical treatment

BACKGROUND

Previous studies have suggested that plasma fibrinogen contributes to tumor cell proliferation, progression and metastasis. The current study was performed to evaluate the prognostic relevance of preoperative plasma fibrinogen in breast cancer patients.

METHOD

Data of 2073 consecutive breast cancer patients, who underwent surgery between January 2002 and December 2008 at the Sun Yat-sen University Cancer Center, were retrospectively evaluated. Plasma fibrinogen levels were routinely measured before surgeries. Participants were grouped by the cutoff value estimated by the receiver operating characteristic (ROC) curve analysis. Overall survival (OS) was assessed using Kaplan-Meier analysis, and multivariate Cox proportional hazards regression model was performed to evaluate the independent prognostic value of plasma fibrinogen level.

RESULTS

The optimal cutoff value of preoperative plasma fibrinogen was determined to be 2.83 g/L. The Kaplan-Meier analysis showed that patients with high fibrinogen levels had shorter OS than patients with low fibrinogen levels (p < 0.001). Multivariate analysis suggested preoperative plasma fibrinogen as an independent prognostic factor for OS in breast cancer patients (HR = 1.475, 95% confidence interval (CI): 1.177-1.848, p = 0.001). Subgroup analyses revealed that plasma fibrinogen level was an unfavorable prognostic parameter in stage II-III, Luminal subtypes and triple-negative breast cancer patients.

CONCLUSION

Elevated preoperative plasma fibrinogen was independently associated with poor prognosis in breast cancer patients and may serve as a valuable parameter for risk assessment in breast cancer patients.