Outcomes of locally advanced breast cancer patients with ≥ 10 positive axillary lymph nodes

Are the Common Genetic 3'UTR Variants in ADME Genes Playing a Role in Tolerance of Breast Cancer Chemotherapy?

We studied the associations between 3'UTR genetic variants in ADME genes, clinical factors, and the risk of breast cancer chemotherapy toxicity. Those variants and factors were tested in relation to seven symptoms belonging to myelotoxicity (anemia, leukopenia, neutropenia), gastrointestinal side effects (vomiting, nausea), nephrotoxicity, and hepatotoxicity, occurring in overall, early, or recurrent settings. The cumulative risk of overall symptoms of anemia was connected with AKR1C3 rs3209896 AG, ERCC1 rs3212986 GT, and >6 cycles of chemotherapy; leukopenia was determined by ABCC1 rs129081 allele G and DPYD rs291593 allele T; neutropenia risk was correlated with accumulation of genetic variants of DPYD rs291583 allele G, ABCB1 rs17064 AT, and positive HER2 status. Risk of nephrotoxicity was determined by homozygote DPYD rs291593, homozygote AKR1C3 rs3209896, postmenopausal age, and negative ER status. Increased risk of hepatotoxicity was connected with NR1/2 rs3732359 allele G, postmenopausal age, and with present metastases. The risk of nausea and vomiting was linked to several genetic factors and premenopausal age. We concluded that chemotherapy tolerance emerges from the simultaneous interaction of many genetic and clinical factors.

Crosstalk between the peripheral nervous system and breast cancer influences tumor progression

Recent studies have shown that peripheral nerves play an important role in the progression of breast cancer. Breast cancer cells (BCCs) promote local peripheral nerve growth and branching by secreting neuroactive molecules, including neurotrophins and axon guidance molecules (AGMs). Sympathetic nerves promote breast cancer progression, while parasympathetic and sensory nerves mainly have anti-tumor effects in the progression of breast cancer. Specifically, peripheral nerves can influence the progression of breast cancer by secreting neurotransmitters not only directly binding to the corresponding receptors of BCCs, but also indirectly acting on immune cells to modulate anti-tumor immunity. In this review, we summarize the crosstalk between breast cancer and peripheral nerves and the roles of important neuroactive molecules in the progression of breast cancer. In addition, we summarize indicators, including nerve fiber density and perineural invasion (PNI), that may help determine the prognosis of breast cancer based on current research results, as well as potential therapeutic approaches, such as β-blockers and retroviral-mediated genetic neuroengineering techniques, that may enhance the prognosis of breast cancer. In addition, we propose suggestions for future research priorities based on a current lack of knowledge in this area.

Nontherapeutic Risk Factors of Different Grouped Stage IIIC Breast Cancer Patients’ Mortality: A Study of the US Surveillance, Epidemiology, and End Results Database

Objectives

Stage IIIC breast cancer, as a local advanced breast cancer, has a poor prognosis compared with that of early breast cancer. We further investigated the risk factors of mortality in stage IIIC primary breast cancer patients and their predictive value.

Methods

We extracted data from the US Surveillance, Epidemiology, and End Results (SEER) database of female patients with stage IIIC primary breast cancer (n = 1673) from January 2011 to December 2015.

Results

Hormone receptor negativity (P ≤ 0.001 and P ≤ 0.001, respectively), aggressive molecular typing (P ≤ 0.001 and P ≤ 0.001, respectively), high T stage (P ≤ 0.001 and P ≤ 0.001, respectively), a high number of positive lymph nodes (≥14) (P=0.005 and P=0.001, respectively), and lymph node ratio (≥0.8148) (P ≤ 0.001 and P ≤ 0.001, respectively) were associated with poor disease-specific survival. The indicators of disease-specific survival included estrogen receptor status, progesterone receptor status, molecular typing, T stage, number of positive lymph nodes, and lymph node ratio (P ≤ 0.001,P ≤ 0.001,P ≤ 0.001,P ≤ 0.001, P=0.002, and P ≤ 0.001, respectively).

Conclusion

Hormone receptor negativity, aggressive molecular typing, high T stage, high number of positive lymph nodes, and lymph node ratio are poor prognostic factors patients with stage IIIC primary breast cancer. The efficient indicators of disease-specific survival include estrogen receptor status, progesterone receptor status, molecular typing, T stage, number of positive lymph nodes, and lymph node ratio.

The role of red cell distribution width in predicting the prognosis of patients with breast cancer

Objective: In this study, we aimed to assess the relationship between preoperative red cell distribution width (RDW) and the clinicopathological stage and prognosis of disease in patients operated for invasive epithelial breast cancer (BC). Material and Method: This retrospective cross-sectional study was conducted between January 2010 and January 2015 at a tertiary hospital in Turkey. A total of 280 patients who underwent surgery for histologically diagnosed invasive epithelial BC were included in the study. Results: The mean age of the patients was 53.31±12.58 years. The median follow-up time was 83 (IQR: 56.5–102) months. According to the results we found, there was a statistically significant positive correlation between progesterone receptor (PR) negativity and RDW values (p=0.015). In addition, the RDW values of patients with perineural invasion (PNI) were found to be significantly higher than those without (p=0.036). Conclusion: When the results of our study are evaluated together with prior reports, it can be said that higher preoperative RDW is associated with poor prognosis. When RDW is evaluated together with other possible prognostic factors, such as PNI and PR status, it has the potential to be a new, easily applicable and accurate marker to assess prognosis in patients with invasive epithelial BC.

Locally Advanced Breast Cancer (LABC): Real-World Outcome of Patients From Cancer Institute, Chennai

PURPOSE

There are sparse data on the outcome of patients with locally advanced breast cancer (LABC). This report is on the prognostic factors and long-term outcome from Cancer Institute, Chennai.

METHODS

This is an analysis of untreated patients with LABC (stages IIIA-C) who were treated from January 2006 to December 2013.

RESULTS

Of the 4,577 patients with breast cancer who were treated, 2,137 patients (47%) with LABC were included for analysis. The median follow-up was 75 months (range, 1-170 months), and 2.3% (n = 49) were lost to follow-up at 5 years. The initial treatment was neoadjuvant concurrent chemoradiation (NACR) (77%), neoadjuvant chemotherapy (15%), or others (8%). Patients with triple-negative breast cancer had a pathologic complete response (PCR) of 41%. The 10-year overall survival was for stage IIIA (65.1%), stage IIIB (41.2%), and stage IIIC (26.7%). Recurrence of cancer was observed in 27% of patients (local 13% and distant 87%). Multivariate analysis showed that patients with a tumor size > 10 cm (hazard ratio [HR], 2.19; 95% CI, 1.62 to 2.98; P = .001), hormone receptor negativity (HR, 1.45; 95% CI, 1.22 to 1.72; P = .001), treatment modality (neoadjuvant chemotherapy, HR, 0.56; 95% CI, 0.43 to 0.73; P = .001), lack of PCR (HR, 2.36; 95% CI, 1.85 to 3.02; P = .001), and the presence of lymphovascular invasion (HR, 1.97; 95% CI, 1.60 to 2.44; P = .001) had decreased overall survival.

CONCLUSION

NACR was feasible in inoperable LABC and gave satisfactory long-term survival. PCR was significantly higher in patients with triple-negative breast cancer. The tumor size > 10 cm was significantly associated with inferior survival. However, this report acknowledges the limitations inherent in experience of management of LABC from a single center.

Clinical Outcomes of N3 Breast Cancer: A Real-World Study of a Single Institution and the US Surveillance, Epidemiology, and End Results (SEER) Database

Background

Although stage IIIC (any TN3M0) breast cancer is known to have a dismal prognosis, the clinical outcome of current standard management and the prognostic differences between N3a, N3b and N3c remain to be further investigated.

Material and Methods

Data from our center on pathologic N3 (pN3) (n=284) breast cancer and the US Surveillance, Epidemiology, and End Results (SEER) database on clinical N3 (cN3) (n=15,291) and M1 (n=23,623) breast cancer between January 2004 and December 2015 were systematically analyzed for clinicopathological characteristics and survival outcomes.

Results

In our institution, patients with pN3c had the worst survival, with 5-year OS and DFS rates of 52.4% and 41.5%, respectively. Patients with pN3b had a relatively good prognosis, with a 5-year OS rate of 75.3% vs 63.9% for the pN3a group (p=0.045). For DFS, the 5-year survival rate was 63.1% in the pN3b group compared with 40.3% in the pN3a group (p=0.030). In the US SEER database, patients with cN3c had the worst survival in the cN3 group, but the prognosis of cN3c was much better than that of M1. Similarly, patients with cN3b had a better prognosis compared with patients in other groups, with a 5-year OS rate of 68.9% vs 61.9% for the cN3a group (p<0.001) and a 5-year BCSS rate of 73.4% vs 67.1% for the cN3a group (p<0.001).

Conclusion

Breast cancer patients with N3c had the worst clinical outcomes, while the prognosis of N3b patients was better than that of N3a patients.

Genetic 3'UTR variations and clinical factors significantly contribute to survival prediction and clinical response in breast cancer patients

The study describes a relationship between the 3′UTR variants, clinicopathological parameters and response to chemotherapy. We analyzed 33 germline polymorphisms in 3′UTRs of ADME genes in 305 breast cancer women treated with FAC regime. Clinical endpoints of this study were: overall survival (OS), progression-free survival (PFS), recurrence-free survival (RFS) and overall response defined as treatment failure-free survival (TFFS). The shortened OS was connected with the presence of NR1/2 rs3732359 AA, SLC22A16 rs7756222 CC, as well as SLC22A16 rs9487402 allele G and clinical factors belonging to TNM classification: tumor size >1 cm, nodal involvement and presence of metastases. PFS was related to two polymorphisms PGR rs1824125 GG, PGR rs12224560 CC and SLC22A16 rs7756222 CC as well as preexisting metastases. The RFS was shortened due to the DPYD rs291593 CC, AKR1C3 rs3209896 AG and negative expression of PGR. The presence of ALDH5A1 rs1054899 allele A, lack of pre-chemotherapy surgery and negative status of PGR correlated with worse treatment response. The germline variants commonly present in the population are important factors determining the response to treatment. We observed the effect of the accumulation of genetic and clinical factors on poor survival prognosis and overall treatment response.

Keystone Perforator Island Flap for Postmastectomy Defect Resurfacing in Late-stage Breast Cancer Patients

Late-stage breast cancer usually presents with locally advanced disease, with or without metastasis. The primary tumor is typically large with skin infiltration which affects quality of life. Surgical resection will result in an extensive defect which potentially deteriorates patients’ quality of life if not properly managed. Keystone perforator island flap (KPIF) is a local advancement flap based on multiple perforators which can be a reliable reconstructive method to close an extensive defect.

TNM classification and the need for revision of pN3a breast cancer

BACKGROUND

According to the seventh edition of tumour-node-metastasis (TNM) classification, pN3a status in breast cancer patients consists of presence of an infraclavicular lymph node metastasis (LNM) and/or presence of ≥10 axillary LNMs. The aim of this study was to determine whether prognosis of pN3a based on at least an infraclavicular LNM differs from ≥10 axillary LNMs.

METHODS

Data were obtained from the Netherlands Cancer Registry. All patients were diagnosed between 2005 and 2008 with primary invasive epithelial breast cancer and pN2a or pN3a status as pathologic result. Patients with pN3a were subdivided in pN3a based on at least an infraclavicular LNM or ≥10 axillary LNMs. Disease-free survival (DFS) included any local, regional or contralateral recurrence, distant metastasis or death within 5 years. Kaplan-Meier curves provided information on 5-year DFS and 8-year overall survival (OS). In addition, Cox proportional hazards model was used to measure the effect of relevant clinicopathological variables on DFS and OS.

RESULTS

A total of 3400 patients with pN2a and 1788 patients with pN3a were included. In 83 patients, pN3a was based on at least an infraclavicular LNM (4.6%) and in 1705 patients because of ≥10 axillary LNMs (95.4%). After multivariable analyses, DFS and OS were inferior in patients with pN3a based on ≥10 axillary LNMs compared to infraclavicular LNM (DFS 48.8% versus 63.8%, hazard ratio [HR] 1.59, p = 0.036; OS 46.6% versus 63.9%, HR 1.46, p = 0.042). Furthermore, pN2a and pN3a based on infraclavicular LNM had comparable DFS and OS.

CONCLUSION

PN3a status based on an at least an infraclavicular LNM is rare, yet its prognosis is superior to ≥10 axillary LNMs. Reclassification of infraclavicular LNM in the next TNM should therefore be considered into pN2a.

Elevated expression of chemokine C-C ligand 2 in stroma is associated with recurrent basal-like breast cancers

Despite advances in treatment, up to 30% of breast cancer patients experience disease recurrence accompanied by more aggressive disease and poorer prognosis. Treatment of breast cancer is complicated by the presence of multiple breast cancer subtypes, including: luminal, Her2 overexpressing, and aggressive basal-like breast cancers. Identifying new biomarkers specific to breast cancer subtypes could enhance the prediction of patient prognosis and contribute to improved treatment strategies. The microenvironment influences breast cancer progression through expression of growth factors, angiogenic factors and other soluble proteins. In particular, chemokine C-C ligand 2 (CCL2) regulates macrophage recruitment to primary tumors and signals to cancer cells to promote breast tumor progression. Here we employed a software-based approach to evaluate the prognostic significance of CCL2 protein expression in breast cancer subtypes in relation to its expression in the epithelium or stroma or in relation to fibroblast-specific protein 1 (Fsp1), a mesenchymal marker. Immunohistochemistry analysis of tissue microarrays revealed that CCL2 significantly correlated with Fsp1 expression in the stroma and tumor epithelium of invasive ductal carcinoma. In the overall cohort of invasive ductal carcinomas (n=427), CCL2 and Fsp1 expression in whole tissues, stroma and epithelium were inversely associated with cancer stage and tumor size. When factoring in molecular subtype, stromal CCL2 was observed to be most highly expressed in basal-like breast cancers. By Cox regression modeling, stromal CCL2, but not epithelial CCL2, expression was significantly associated with decreased recurrence-free survival. Furthermore, stromal CCL2 (HR=7.51 P=0.007) was associated with a greater hazard than cancer stage (HR=2.45, P=0.048) in multivariate analysis. These studies indicate that stromal CCL2 is associated with decreased recurrence-free survival in patients with basal-like breast cancer, with important implications on the use of stromal markers for predicting patient prognosis.

Prognostic Factors in Operated Stage IIIC, Pathological N3a Breast Cancer Patients

BACKGROUND

The aim of this retrospective study was to evaluate the prognostic factors in patients operated for stage IIIC breast carcinoma who had > 10 positive axillary lymph nodes (pN3a).

PATIENTS AND METHODS

The medical records of 302 operated N3a breast cancer patients without distant metastasis followed up in 2 medical oncology clinics in Ankara between January 1998 and June 2013 were evaluated retrospectively.

RESULTS

The median age was 50 (21-83) years. The median follow-up time was 43 (5-191) months. The patients were divided into 4 subgroups according to hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status. There were 151 (50.0%) patients in the HR+/HER2- group, 80 (26.5%) patients in the HR+/HER2+ group, 42 (13.9%) patients in the HR-/HER2+ group, and 29 (9.6%) patients in the triple negative (TN) group. At the time of analysis, 155 (51.3%) patients had recurrent disease and 117 (38.7%) patients had died. The median disease-free survival (DFS) and overall survival (OS) times were 46.0 and 78.0 months, respectively. Both the DFS and OS in the HR+/HER2- group were longer than in the other groups (log-rank p = 0.034 and p = 0.016, respectively). Menopausal status, progesterone receptor (PgR) status, and lymph node ratio (LNR; defined as the number of positive lymph nodes compared to the total number of removed lymph nodes) were found to be independent prognostic factors (p = 0.019, p = 0.001, and p = 0.012, respectively).

CONCLUSION

Menopausal status, PgR status, and LNR were independent prognostic factors in operated N3a breast cancer patients, who are underrepresented in breast cancer trials.

Long-term survival of women with locally advanced breast cancer with ≥ 10 involved lymph nodes at diagnosis

BACKGROUND

Axillary lymph node status at diagnosis remains the strongest predictor of long-term survival in breast cancer. Patients with more than ten axillary lymph nodes at diagnosis have a poor long-term survival. In this single institutional study, we set out to evaluate the prognosis of this high-risk group in the era of multimodality therapy.

MATERIALS AND METHODS

In this retrospective study, we looked at all breast cancer patients with greater than ten axillary lymph nodes diagnosed at Mount Sinai Medical Center (MSMC) from January 1st 1990 to December 31st 2007 (n=161). In the univariate analysis, descriptive frequencies, median survival, and 5- and 10-year survival rates were estimated for common prognostic factors. A multivariate prognostic analysis for time-to-event data, using the extended Cox regression model was carried out.

RESULTS

With a median and mean follow-up of 70 and 89.9 months, respectively, the overall median survival was estimated to be 99 months. The five-year disease-free survival (DFS) was 59.3% and the ten-year DFS was 37.9%, whereas the five- and ten-year overall survival (OS) was 66.6% and 43.9%, respectively. Multivariate analysis revealed a significant improvement in DFS among black patients compared to whites (p=0.05), improved DFS and OS among young patients (ages 21-45) compared to elderly patients (age greater than 70) (p=0.00176, p=0.0034, respectively), and improved DFS and OS among patients whose tumors were ER positive (p=0.049, p=0.0034).

CONCLUSIONS

In this single institution study of patients with greater than 10 positive axillary nodes, black patients had a significantly improved DFS compared with white patients. Young age and ER tumor positivity was associated with improved outcomes. Using multivariate analysis, there were no other variables associated with statistically significant improvements in DFS or OS including date of diagnosis. Further work is needed to improve breast cancer survival in this subgroup of patients.

Elevated CXCL1 expression in breast cancer stroma predicts poor prognosis and is inversely associated with expression of TGF-β signaling proteins

Background

CXCL1 is a chemotactic cytokine shown to regulate breast cancer progression and chemo-resistance. However, the prognostic significance of CXCL1 expression in breast cancer has not been fully characterized. Fibroblasts are important cellular components of the breast tumor microenvironment, and recent studies indicate that this cell type is a potential source of CXCL1 expression in breast tumors. The goal of this study was to further characterize the expression patterns of CXCL1 in breast cancer stroma, determine the prognostic significance of stromal CXCL1 expression, and identify factors affecting stromal CXCL1 expression.

Methods

Stromal CXCL1 protein expression was analyzed in 54 normal and 83 breast carcinomas by immunohistochemistry staining. RNA expression of CXCL1 in breast cancer stroma was analyzed through data mining in http://www.Oncomine.org. The relationships between CXCL1 expression and prognostic factors were analyzed by univariate analysis. Co-immunofluorescence staining for CXCL1, α-Smooth Muscle Actin (α-SMA) and Fibroblast Specific Protein 1 (FSP1) expression was performed to analyze expression of CXCL1 in fibroblasts. By candidate profiling, the TGF-β signaling pathway was identified as a regulator of CXCL1 expression in fibroblasts. Expression of TGF-β and SMAD gene products were analyzed by immunohistochemistry and data mining analysis. The relationships between stromal CXCL1 and TGF-β signaling components were analyzed by univariate analysis. Carcinoma associated fibroblasts isolated from MMTV-PyVmT mammary tumors were treated with recombinant TGF-β and analyzed for CXCL1 promoter activity by luciferase assay, and protein secretion by ELISA.

Results

Elevated CXCL1 expression in breast cancer stroma correlated with tumor grade, disease recurrence and decreased patient survival. By co-immunofluorescence staining, CXCL1 expression overlapped with expression of α-SMA and FSP1 proteins. Expression of stromal CXCL1 protein expression inversely correlated with expression of TGF-β signaling components. Treatment of fibroblasts with TGF-β suppressed CXCL1 secretion and promoter activity.

Conclusions

Increased CXCL1 expression in breast cancer stroma correlates with poor patient prognosis. Furthermore, CXCL1 expression is localized to α-SMA and FSP1 positive fibroblasts, and is negatively regulated by TGF-β signaling. These studies indicate that decreased TGF-β signaling in carcinoma associated fibroblasts enhances CXCL1 expression in fibroblasts, which could contribute to breast cancer progression.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2407-14-781) contains supplementary material, which is available to authorized users.

Risk factors for locoregional recurrence after postmastectomy radiotherapy in breast cancer patients with four or more positive axillary lymph nodes

BACKGROUND

We investigated risk factors for locoregional recurrence (lrr) in breast cancer patients with 4 or more positive axillary lymph nodes receiving postmastectomy radiotherapy (pmrt).

METHODS

Medical records (1998-2007) were retrospectively reviewed for the population of interest. The Kaplan-Meier method was used to calculate the survival rate; Cox regression models were used for univariate and multivariate analysis of predictors of breast cancer lrr.

RESULTS

The study enrolled 439 patients. Median duration of follow-up was 54 months. The 5-year rates of locoregional recurrence-free survival (lrrfs), distant metastasis-free survival (dmfs), and breast cancer-specific survival (bcss) were 87.8%, 59.5%, and 70.7% respectively. In patients with lrr and no concomitant metastasis, and in those without lrr, the 5-year rates of dmfs were 21.1% and 65.7% respectively (p < 0.001), and the 5-year rates of bcss were 34.5% and 76.4% respectively (p < 0.001). Univariate analysis showed that menopausal status (p = 0.041), pN stage (p = 0.006), and positivity for her2 [human epidermal growth factor receptor 2 (p = 0.003)] or the triple-negative disease subtype (p < 0.001) were determinants of lrrfs. Multivariate analysis showed that pN3 stage [hazard ratio (hr): 2.241; 95% confidence interval (ci): 1.270 to 3.957; p = 0.005], her2 positivity (hr: 2.705; 95% ci: 1.371 to 5.335; p = 0.004), and triple-negative disease subtype (hr: 4.617; 95% ci: 2.192 to 9.723; p < 0.001) were independent prognostic factors of lrrfs.

CONCLUSIONS

In breast cancer patients with 4 or more positive axillary lymph nodes who undergo pmrt for breast cancer, lrr significantly influences survival. Patients who developed lrr carried a high risk for distant metastasis and death. Pathologic stage (pN3), her2 positivity, and the triple-negative disease subtype are risk factors that significantly influence lrrfs.