HN1L promotes migration and invasion of breast cancer by up-regulating the expression of HMGB1.

Recent reports showed that haematological and neurological expressed 1-like (HN1L) gene participated in tumorigenesis and tumour invasion. However, the expression and role of HN1L in breast cancer remain to be investigated. Here, bioinformatics, western blot and immunohistochemistry were used to detect the expression of HN1L in breast cancer. Wound healing, transwell assay, immunofluorescence assay and mass spectrum were used to explore the role and mechanism of HN1L on the migration and invasion of breast cancer, which was confirmed in vivo using a nude mice model. Results showed that HN1L was significantly over-expressed in breast cancer tissues, which was positively correlated with M metastasis of breast cancer patients. Silencing HN1L significantly inhibited the invasion and metastasis of breast cancer cells in vitro and lung metastasis in nude mice metastasis model of breast cancer. Mechanistically, HN1L interacted with HSPA9 and affected the expression of HMGB1, playing a key role in promoting the invasion and metastasis of breast cancer cell. These results suggested that HN1L was an appealing drug target for breast cancer.

Comparison of survival in non-metastatic inflammatory and other T4 breast cancers: a SEER population-based analysis.

BACKGROUND: Previous studies have reported poor survival rates in inflammatory breast cancer (IBC) patients than non-inflammatory local advanced breast cancer (non-IBC) patients. However, until now, the survival rate of IBC and other T4 non-IBC (T4-non-IBC) patients remains unexplored. METHODS: Surveillance, Epidemiology, and End Results (SEER) database was searched to identify cases with confirmed non-metastatic IBC and T4-non-IBC who had received surgery, chemotherapy, and radiotherapy between 2010 and 2015. IBC was defined as per the American Joint Committee on Cancer (AJCC) 7th edition. Breast Cancer-Specific Survival (BCSS) was estimated by plotting the Kaplan-Meier curve and compared across groups by using the log-rank test. Cox model was constructed to determine the association between IBC and BCSS after adjusting for age, race, stage of disease, tumor grade and surgery type. RESULTS: Out of a total of 1986 patients, 37.1% had IBC and mean age was 56.6 ± 12.4. After a median follow-up time of 28 months, 3-year BCSS rate for IBC and T4-non-IBC patients was 81.4 and 81.9%, respectively (log-rank p = 0.398). The 3-year BCSS rate in HR-/HER2+ cohort was higher for IBC patients than T4-non-IBC patients (89.5% vs. 80.8%; log-rank p = 0.028), and in HR-/HER2- cohort it was significantly lower for IBC patients than T4-non-IBC patients (57.4% vs. 67.5%; log-rank p = 0.010). However, it was identical between IBC and T4-non-IBC patients in both HR+/HER2- (85.0% vs. 85.3%; log-rank p = 0.567) and HR+/HER2+ (93.6% vs. 91.0%, log-rank p = 0.510) cohorts. After adjusting for potential confounding variables, we observed that IBC is a significant independent predictor for survival of HR-/HER2+ cohort (hazards ratio [HR] = 0.442; 95% CI: 0.216-0.902; P = 0.025) and HR-/HER2- cohort (HR = 1.738; 95% CI: 1.192-2.534; P = 0.004). CONCLUSIONS: Patients with IBC and T4-non-IBC had a similar BCSS in the era of modern systemic treatment. In IBC patients, the HR-/HER2+ subtype is associated with a better outcome, and HR-/HER2- subtype is associated with poorer outcomes as compared to the T4-non-IBC patients.

[Influencing factors of pathologic complete response after neoadjuvant chemotherapy in locally advanced breast cancer patients: results of a single-center 10-year retrospective study].

OBJECTIVE: To analyze the influencing factors of pathologic complete response (PCR) to neoadjuvant chemotherapy in locally advanced breast cancer patients. METHODS: A retrospective study was conducted to analyze the clinical data of 620 locally advanced breast cancer patients at Henan Cancer Hospital between April 2003 to February 2013. After neoadjuvant chemotherapy, 94 patients achieved PCR. The correlation between clinicopathological factors and PCR was analyzed. RESULTS: No significant correlations existed between PCR with patient age, menstrual status or pretherapeutic lymph node status. Increased chemotherapeutic cycles could improve the rate of PCR (14.1% or 19.5 %), but it had no statistical difference. The rate of PCR achieved by regimens of anthracycline plus taxane was higher (20.1%)than that by anthracycline-based regimens (12.7%). And the rate of PCR had significant difference between two regimens. In terms of biological indicators, PCR rate after neoadjuvant chemotherapy was associated with estrogen/progesterone receptor, but it had no correlation with Ki-67 index or the status of epidermal growth factor receptor. Logistic multifactorial analysis showed that tumor size ≤ 5 cm were significantly correlated with PCR. Trastuzumab could obviously increase the PCR rate (15.7% or 41.7 %) and there was statistical difference (P = 0.031). CONCLUSION: The regimens of anthracycline plus taxane can achieve a higher PCR rate. Patient age, menstrual status and pretherapeutic lymph node have no significant correlation with PCR. PCR rate is associated with the expression of ER/PR negative in breast cancer. Trastuzumab increase the PCR rate in the HER-2 positive patients. Tumor size ≤ 5 cm is a significant influencing factor of PCR rate.

Room-Temperature Synthesis of Highly-Efficient Eu3+-Activated KGd2F7 Red-Emitting Nanoparticles for White Light-Emitting Diode.

Luminescent materials with high thermal stability and quantum efficiency are extensively desired for indoor illumination. In this research, a series of Eu3+-activated KGd2F7 red-emitting nanoparticles were prepared at room temperature and their phase structure, morphology, luminescence properties, as well as thermal stability, have been studied in detail. Excited by 393 nm, the resultant nanoparticles emitted bright red emissions and its optimal status was realized when the Eu3+ content was 30 mol%, in which the concentration quenching mechanism was triggered by electric dipole-dipole interaction. Through theoretical analysis via the Judd-Ofelt theory, one knows that Eu3+ situates at the high symmetry sites in as-prepared nanoparticles. Moreover, the internal and extra quantum efficiencies of designed nanoparticles were dependent on Eu3+ content. Furthermore, the studied nanoparticles also had splendid thermal stability and the corresponding activation energy was 0.18 eV. Additionally, via employing the designed nanoparticles as red-emitting constituents, a warm white light-emitting diode (white-LED), which exhibits low correlated color temperature (4456 K), proper luminous efficiency (17.2 lm/W) and high color rendering index (88.3), was developed. Our findings illustrate that Eu3+-activated KGd2F7 nanoparticles with bright red emissions are able to be used to promote the performance of white-LED.

Impact of Marital Status on Prognosis of Patients With Invasive Breast Cancer: A Population-Based Study Using SEER Database.

Objective: This study aimed to investigate the prognostic roles of marital status in patients with invasive breast cancer. Method: We extracted the data of patients with invasive breast cancer who were diagnosed during 2010-2015 and had complete staging and molecular typing from the Surveillance, Epidemiology, and End Results (SEER)-18 database. Kaplan-Meier curve method and Cox regression analysis were performed to investigate the differences in breast cancer-specific survival (BCSS) and overall survival (OS) in the total population and various subgroups with different marital statuses. Results: Among the 324,062 patients with breast cancer in this study, 55.0%, 40.0%, and 5.0% were married, unmarried, and unknown, respectively; 51.8%, 32.2%, 10.5%, and 5.5% were patients with Stages I, II, III, and IV breast cancer, respectively. The 5-year BCSS and OS of married patients were 92.6% and 88.1%, respectively, higher than those of unmarried patients (88.3% and 78.1%, P < 0.001). After adjustment for sex, age, T and N stages, histological grade, insurance status, race, year of diagnosis, and molecular subtypes, married status was an independent predictor of better BCSS [hazard ratio (HR) = 0.775, 95% confidence interval (CI) = 0.753-0.797, P < 0.001) and OS (HR = 0.667, 95% CI = 0.653-0.681, P < 0.001). After multivariate analysis of various subgroups of sex, age, stage, histological grade, insurance status, race, and molecular subtype, married status was an independent predictor of better BCSS in all subgroups except for Grade IV, age < 35 years, and uninsured subgroups. Marital status was an independent predictor of better OS in all subgroups except the subgroup with age <35 years. Conclusions: In conclusion, marital status was an independent prognostic factor for breast cancer. The unmarried patients with breast cancer had a worse prognosis, except for the subgroup with age <35 years. Hence, unmarried patients with breast cancer and age ≥35 years may need additional psychosocial and emotional support to achieve more prolonged survival, besides active treatment of primary disease.

A novel 12-gene prognostic signature in breast cancer based on the tumor microenvironment.

Background: The progression of breast cancer (BC) is highly dependent on the tumor microenvironment. Inflammation, stromal cells, and the immune landscape have been identified as significant drivers of BC in multiple preclinical studies. Therefore, this study aimed to clarify the predictive relevance of stromal and immune cell-associated genes in patients suffering from BC. Methods: We employed the estimation of stromal and immune cells in malignant tumor tissues using expression data (ESTIMATE) algorithm to calculate the stromal and immunological scores, which were then used to evaluate differentially expressed genes (DEGs) in BC samples using The Cancer Genome Atlas (TCGA) database. Univariate analyses were conducted to identify the DEGs linked to survival in BC patients. Next, the prognostic DEGs (with a log-rank P<0.05) were used to create a risk signature, and the least absolute shrinkage and selection operator (LASSO) regression method was used to analyze and optimize the risk signature. The following formula was used to compute the prognostic risk score values: Risk score = Gene 1 * ß1 + Gene 2 * ß2 +… Gene n * ßn. The median prognostic risk score values were used to divide BC patients into the low-risk (LR) and high-risk (HR) groups. The patient samples of the validation cohort were then assessed using this formula. We used principal component analysis (PCA) to determine the expression patterns of the different patient groups. Gene Set Enrichment Analysis (GSEA) was used to determine whether there were significant variations between the groups in the evaluated gene sets. Results: The present study revealed that DEGs linked with survival were closely associated with immunological responses. A prognostic signature was constructed that consisted of 12 genes (ASCL1, BHLHE22, C1S, CLEC9A, CST7, EEF1A2, FOLR2, KLRB1, MEOX1, PEX5L, PLA2G2D, and PPP1R16B). According to their survival, BC patients were separated into LR and HR groups using the identified 12-gene signature. The immunological status and immune cell infiltration were observed differently in the LR and HR groups. Conclusions: Our results provide novel insights into several microenvironment-linked genes that influence survival outcomes in patients with BC, which suggests that these genes could be candidate therapeutic targets.

Pathological response and predictive role of tumour-infiltrating lymphocytes in HER2-positive early breast cancer treated with neoadjuvant pyrotinib plus trastuzumab and chemotherapy (Panphila): a multicentre phase 2 trial.

PURPOSE: Panphila evaluated pyrotinib plus trastuzumab, docetaxel and carboplatin as neoadjuvant therapy for early breast cancer (BC), and investigated the predictive role of immune cell subpopulations. PATIENTS AND METHODS: In this multicentre phase 2 study, patients with human epidermal growth factor receptor 2-positive, stage T2-3N0-3M0 BC received pyrotinib 400 mg once daily plus docetaxel (75 mg/m2, day 1), carboplatin (6 mg/mL/min, day 1) and trastuzumab (8 mg/kg loading dose and 6 mg/kg maintenance dose, day 1) for 6 cycles of 21 days each. Simon's 2-stage design was adopted. The primary end-point was pathological complete response (pCR, ypT0/is ypN0) rate. Tumour-infiltrating lymphocytes (TILs) were assessed by haematoxylin and eosin staining and multiplex immunohistochemistry. RESULTS: In the modified intention-to-treat population (n = 69), 38 patients (55.1%) achieved pCR. In the safety population (n = 74), the most common grade ≥3 adverse events were diarrhoea (43.2%), anaemia (37.8%), vomiting (16.2%) and platelet count decrease (10.8%). No treatment-related deaths occurred. Analysis of single immune subpopulations revealed a significant association of pCR with higher baseline infiltration by stromal (s)-CD20+, s-CD8+ and s-CD4+ TILs. Unsupervised hierarchical clustering of stromal immune markers identified a group of patients characterised by high s-CD20+, s-CD8+, s-CD4+ and s-FOXP3+ immune cells infiltration, which was independently associated with pCR. CONCLUSION: Neoadjuvant pyrotinib plus trastuzumab-based chemotherapy exhibits promising efficacy and manageable toxicity in patients with human epidermal growth factor receptor 2-positive early BC, and thus phase 3 trials are warranted. Our findings also contribute to understanding the potential role of the immune microenvironment in response to neoadjuvant pyrotinib-based therapy.

Neoadjuvant Efficacy of Three Targeted Therapy Strategies for HER2-Positive Breast Cancer Based on the Same Chemotherapy Regimen.

(1) Background: The objective of our study was to provide evidence for choosing the optimal neoadjuvant therapy strategies for patients with human epidermal growth factor receptor 2 (HER2)-positive early breast cancer. Three neoadjuvant targeted therapy strategies (H + Py, trastuzumab plus pyrotinib; H, trastuzumab; HP, trastuzumab plus pertuzumab) based on the same chemotherapy regimen (TC, docetaxel and carboplatin) were included in the present study; (2) Methods: We retrospectively analyzed patients with HER2-positive breast cancer who were treated with neoadjuvant TCH + Py, TCH or TCHP, followed by surgery. The outcome was the pathological complete response (pCR) rate; (3) Results: In total, 545 patients were enrolled. The pCR rate was 55.6% (35/63) in the TCH + Py cohort, 32.7% (93/284) in the TCH cohort, and 56.6% (112/198) in the TCHP cohort. The multivariate analysis showed that patients who received TCH had less possibility to achieve pCR than those who received TCH + Py (odds ratio (OR) = 0.334, 95% confidence interval (CI): 0.181−0.619, p < 0.001), while patients who received TCHP had comparable possibility to those who received TCH + Py (OR = 1.043, 95%CI: 0.554−1.964, p = 0.896); (4) Conclusions: TCH + Py provides a better pCR rate compared with TCH, and a comparable pCR rate with TCHP among patients with HER2-positive breast cancer in the neoadjuvant setting. The present study supports a novel potential treatment option for these patients. Further studies need to be explored in the future.

Essential amino acid metabolism-related molecular classification in triple-negative breast cancer.

Aim: To develop an approach to characterize and classify triple-negative breast cancer (TNBC) tumors based upon their essential amino acid (EAA) metabolic activity. Methods: We performed bioinformatic analyses of genomic, transcriptomic and clinical data in an integrated cohort of 740 TNBC patients from public databases. Results: Based on EAA metabolism-related gene expression patterns, two TNBC subtypes were identified with distinct prognoses and genomic alterations. Patients exhibiting an upregulated EAA metabolism phenotype were more prone to chemoresistance but also expressed higher levels of immune checkpoint genes and may be better candidates for immune checkpoint inhibitor therapy. Conclusion: Metabolic classification based upon EAA profiles offers a novel biological insight into previously established TNBC subtypes and advances current understanding of TNBC's metabolic heterogeneity.

Lay abstract Breast cancer is the most common malignancy in women. Triple-negative breast cancer (TNBC) is a highly malignant subtype of breast cancer, accounting for about 12­17% of total breast cancer cases. This subtype is prone to liver and bone metastases, has a high risk of recurrence and carries a poor prognosis. In this study the authors explored the essential amino acid metabolism characteristics of TNBC tumors. They found that TNBC tumors exhibiting high essential amino acid metabolism were more malignant, associated with a worse prognosis and less sensitive to chemotherapy, but were also associated with better patient responses to immunotherapy. These results offer new insights into the precision treatment of TNBC. The results of the study are promising but require additional investigation.

Development of a predictive model utilizing the neutrophil to lymphocyte ratio to predict neoadjuvant chemotherapy efficacy in early breast cancer patients.

Neutrophils and lymphocytes are key regulators of breast cancer (BC) development and progression. Neutrophil to lymphocyte ratio (NLR) values have been found to offer clear prognostic utility when evaluating BC patients. In this study, we sought to determine whether BC patient baseline NLR values are correlated with pathological complete response (pCR) following neoadjuvant chemotherapy (NCT) treatment. In total, 346 BC patients underwent NCT at our hospital from January 1, 2014 to October 31, 2019, and data pertaining to these patients were retrospectively analyzed. Correlations between clinicopathological characteristics and pCR rates were assessed via multivariate logistic regression analyses. A predictive scoring model was used to gauge the likelihood of pCR based upon regression coefficient (ß) values for each significant variable identified through these analyses. NLR cut-off values suitable for identifying patients likely to achieve pCR following NCT treatment were calculated using receiver operating characteristic (ROC) curves. All patients in the present study were females with a median age of 48 years old (range 22-77). An optimal NLR cut-off value of 1.695 was identified and was associated with respective sensitivity and specificity values of 63.6% and 45.5%. We found that higher NLR values were significantly associated with younger age, premenopausal status, and non-pCR status. Logistic regression analyses indicated that NLR, tumor size, hormone receptor (HR) status, and Ki-67 expression were all independent predictors of pCR. The area under the curve (AUC) for the resultant predictive scoring model was 0.705, and this model was assessed via K-fold cross-validation (k = 10) and bootstrapping validation, yielding respective AUC values of 0.68 and 0.694. Moreover, the incorporation of NLR into this predictive model incrementally improved its overall prognostic value relative to that of a model not incorporating NLR (AUC = 0.674). BC patients with a lower baseline NLR are more likely to exhibit pCR following NCT treatment, indicating that NLR may be a valuable biomarker for BC patient prognostic evaluation and treatment planning. Overall, our results demonstrate that this NLR-based predictive model can efficiently predict NCT efficacy in early BC patients with a high degree of accuracy.

Analysis of the expression profile of serum exosomal lncRNA in breast cancer patients.

BACKGROUND: Breast cancer (BC) is a common tumor that seriously affects women's physical/mental health and even life. BC invasion and metastasis are still the main causes of mortality in BC patients. Exosomal long non-coding RNAs (exo-lncRNA) play an important role in cell communication and can help to understand better the physiological and pathological conditions that result from BC. This study investigates new potential targets and functions of the expression profiles of exo-lncRNAs in BC patients through high-throughput screening and bioinformatics. METHODS: Samples were collected from two BC patients and one healthy subject. The serum exosomal RNAs were subsequently purified, and a library was established for quality inspection and sequencing. The resultant data was compared with the reference data to obtain the differential expression of exo-lncRNAs, and predict the target genes. To obtain the final results, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were used to annotate the function and pathway of the differentially expressed genes. RESULTS: After a comprehensive comparison of the BC patients and healthy subjects, we discovered five up-regulated exo-lncRNAs and six down-regulated exo-lncRNAs of interest. Combining our results with a literature review and screening, we found that VIM-AS1, SNHG8, and ELDR play a role in the progression of BC, with VIM-AS1 predicting 35 target miRNAs; SNHG8 predicting 12 target miRNAs, and ELDR predicting 24 target miRNAs. Target prediction considered that the target gene of VIM-AS1 was VIM and that the target gene of SNHG8 was PRSS12. GO enrichment analysis showed that VIM mainly played a role in cell processes, biological regulation, metabolic regulation, and molecular adhesion, while PRSS12 was enriched through cell metabolism, catalytic activity, and hydrolase activity. KEGG pathway enrichment results also indicated how the VIM protein functions in cancer development through the viral infection signaling pathway and miRNA signaling pathway. CONCLUSIONS: There is a significant difference in the expression profiles of serum exo-lncRNAs between BC patients and healthy individuals. This may be closely related to BC's occurrence, development, and metastasis, and therefore provides a theoretical basis for more in-depth studies into exo-lncRNA.

The effectiveness of axillary reverse mapping in preventing breast cancer-related lymphedema: a meta-analysis based on randomized controlled trials.

BACKGROUND: Here, we carried out an extensive meta-analysis to investigate the effectiveness of the use of axillary reverse mapping (ARM) during axillary lymph node dissection (ALND) in preventing breast cancer-related lymphedema (BCRL). METHODS: Database searches to identify relevant randomized controlled trials (RCTs) were performed of MEDLINE (PubMed), Web of Science, Embase, and the Cochrane Library. Eligible articles with a publication date from database establishment to December 2020 were retrieved by combining keywords including: "breast cancer", "breast carcinoma", "breast neoplasm", "axillary reverse mapping", "axillary lymph node dissection", "lymphatic arm drainage", and "lymphedema". Independent data extraction was conducted, and Review Manager (version 5.3) was used for statistical analyses. RESULTS: Five eligible RCTs were included in the meta-analysis. A total of 37 patients suffered arm lymphedema (37/786, 4.71%) in the experimental group (ARM during ALND), compared with 164 arm lymphedemas (164/873, 18.79%) in the control group (ALND alone). The results showed that ARM during ALND was superior to ALND alone in reducing the incidence of BCRL [OR =0.20, 95% confidence intervals (CI): 0.13-0.29, P<0.00001]; however, the 2 procedures did not differ significantly in terms of oncological safety or shoulder movement (OR =0.30, 95% CI: 0.03-2.96, P=0.30; OR =0.44, 95% CI: 0.14-1.40, P=0.17). CONCLUSIONS: ARM during ALND can prevent and reduce the occurrence of BCRL in patients with early-stage BC during long-term follow-up. Due to the limited number of RCTs available, more in-depth, high-quality RCTs are urgently needed to provide a reliable and convincing basis for the application of ARM during ALND.

Establishment and Verification of a Predictive Model for Node Pathological Complete Response After Neoadjuvant Chemotherapy for Initial Node Positive Early Breast Cancer.

OBJECTIVE: Axillary node status after neoadjuvant chemotherapy (NCT) in early breast cancer patients influences the axillary surgical staging procedure. This study was conducted for the identification of the likelihood of patients being node pathological complete response (pCR) post NCT. We aimed to recognize patients most likely to benefit from sentinel lymph node biopsy (SLNB) following NCT and to reduce the risk of missed detection of positive lymph nodes through the construction and validation of a clinical preoperative scoring prediction model. METHODS: The existing data (from March 2010 to December 2018) of the Chinese Society of Clinical Oncology Breast Cancer Database (CSCO-BC) was used to evaluate the independent related factors of node pCR after NCT by Binary Logistic Regression analysis. A predictive model was established according to the score of considerable factors to identify ypN0. Model performance was confirmed in a cohort of NCT patients treated between January 2019 and December 2019 in Henan Cancer Hospital, and model discrimination was evaluated via assessing the area under the receiver operating characteristic (ROC) curve (AUC). RESULTS: Multivariate regression analysis showed that the node stage before chemotherapy, the expression level of Ki-67, biologic subtype, and breast pCR were all independent related factors of ypN0 after chemotherapy. According to the transformation and summation of odds ratio (OR) values of each variable, the scoring system model was constructed with a total score of 1-5. The AUC for the ROC curves was 0.715 and 0.770 for the training and the validation set accordingly. CONCLUSIONS: A model was established and verified for predicting ypN0 after chemotherapy in newly diagnosed cN+ patients and the model had good accuracy and efficacy. The underlined effective model can suggest axillary surgical planning, and reduce the risk of missing positive lymph nodes by SLNB after NCT. It has great value for identifying initial cN+ patients who are more appropriate for SLNB post-chemotherapy.

Prognostic values of EDNRB in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) has a high degree of malignancy. The endothelin B receptor (EDNRB) serves an important role in the occurrence and development of cancer. The present study aimed to investigate the prognostic value of EDNRB in TNBC. A total of 99 cases of TNBC were collected from the Henan Cancer Hospital database and 159 cases of TNBC were collected from The Cancer Genome Atlas database. A χ2 test was used to analyze the association between EDNRB and clinicopathological data. Kaplan-Meier analysis and multivariate Cox regression analysis were used to analyze the association between EDNRB and prognosis, and to establish two models. The discrimination degree of the models was evaluated using time-dependent receiver operating characteristic curves and concordance index (C-index), whereas the accuracy and net benefit of the models were evaluated using integrated discriminant improvement (IDI) and decision curves. EDNRB expression was low in TNBC samples (P<0.01). Age (P=0.01), tumor size (P=0.04) and N stage (P=0.01) were associated with EDNRB expression. EDNRB expression was positively associated with stromal score (P<0.01), but not immune score. High expression levels of EDNRB indicated favorable disease-free survival time (hazard ratio, 0.38; 95% CI, 0.15-0.98; P=0.04). The integrated area under the curve and C-index of the new model were increased compared with the old model following the addition of EDNRB expression as a parameter. The IDI values for prediction of the 3- and 5-year survival rates were 0.04 (P=0.02) and 0.05 (P=0.01), respectively. The results of decision curve analysis showed that the new model had higher clinical net benefit than the old model in the range of 3-year survival rate <0.52. In conclusion, EDNRB was associated with a favorable prognosis in patients with TNBC, and may be used as a novel prognostic biomarker.

Association Between the HER2 Protein Expression Level and the Efficacy of Neoadjuvant Chemotherapy in HER2-Positive Breast Cancer.

OBJECTIVE: This study aimed to assess the relationship between human epidermal growth factor receptor-2 (HER2) protein expression level and clinicopathological features of HER2-positive breast cancer, and to analyze whether the expression level of HER2 protein could predict the response to anti-HER2 therapy. METHODS: The present study included 296 patients with HER2-positive breast cancer receiving neoadjuvant chemotherapy (NAC) containing trastuzumab between January 2014 and November 2019. The univariate comparisons of the differences in clinicopathological parameters between different HER2 protein expression groups, and the association between HER2 protein expression level and efficacy of NAC, were made using a X2 test or Mann-Whitney U-test. Multivariate analyses of the differences in clinicopathological parameters between different HER2 protein expression groups, and the association between HER2 protein expression level and efficacy of NAC, were performed using logistic regression analysis. RESULTS: A total of 110 patients achieved a pathological complete response (pCR) after NAC. The pCR rate was 37.2%. The study showed that patients who were HR-negative, AR-positive, and CK5/6-negative had significantly higher expression level of HER2 protein [odds ratio (OR) = 0.183, P < 0.001; OR = 6.414, P = 0.004; OR = 0.261, P = 0.004, respectively]. Patients with HER2 3+ detected by immunohistochemistry (IHC) had significantly higher pCR rates compared with patients with HER2 2+. The HER2 protein expression level might effectively predict the efficacy of NAC in patients with HER2-positive breast cancer (OR = 3.520, P = 0.003). CONCLUSION: The HER2 protein expression level was related to multiple clinical features in patients with HER2-positive breast cancer. For example, hormone receptor, androgen receptor, cytokeratin5/6, and HER2 protein expression level may be used to predict the response to NAC in patients with HER2-positive breast cancer and may serve as a predictive factor for NAC efficacy.

Association of higher axillary pathologic complete response rate with breast pathologic complete response after neoadjuvant chemotherapy.

BACKGROUND: To investigate the association of axillary pathologic complete response (pCR) rate among breast cancer patients with pCR after neoadjuvant chemotherapy (NCT). METHODS: The retrospective clinical data of 1,903 patients who were treated with NCT between March, 2010 and December, 2018, were collected from one Chinese database and analyzed. The correlations between clinicopathological characteristics and breast pCR with axillary pCR were calculated by χ2 test. Binary logistic regression analysis was used for multivariate analysis. The relative risk of positive axillary nodes after NCT in patients with and without breast pCR was analyzed using a Cochran-Mantel-Haenszel (CMH) test stratified by initial N stage and tumor subtype. RESULTS: The rate of axillary pCR was increased in the cases with initial cN0, Ki67 high expression, HR+HER2+/HR-HER2+/TN subtypes, and breast pCR. After NCT, the relative risk of nodal disease burden was 4.81 in patients without breast pCR compared with patients with breast pCR. The relative risk of positive nodal status in patients with cN0, cN1, cN2, and cN3 disease without vs. with breast pCR was 6.45, 4.88, 5.69 and 6.24, respectively. The relative risk of positive nodal status in patients with HR+HER2-, HR+HER2+, HR-HER2+, and TN disease was 4.02, 4.50, 3.82 and 4.18, respectively. Of cN0 patients with breast pCR, only 4 out of 44 (9%) with HER2-positive disease had 1 or 2 axillary lymph node metastases at final surgical pathology compared to 30 out of 98 (31%) of those without breast pCR. There was no evidence of positive nodal residue among all 21 patients (100%) with TN disease compared to 65% (36 of 55) of patients without breast pCR. CONCLUSIONS: Nodal status is strongly correlated with breast pCR after NCT. Patients with initial cN0/1 TN/HER2 positive disease who achieve breast pCR at surgery have a low risk of nodal metastasis. These results suggest that the failure rate of missing positive lymph nodes among those patients was very low and that it is safe for such patients to undergo sentinel lymph node biopsy (SLNB) after NCT. This study also provides a theoretical basis for clinical trials focused on the avoidance of axillary surgery in selected patients.

Predictive factors and prognostic value of pathologic complete response of ipsilateral supraclavicular lymph nodes in breast cancer after neoadjuvant chemotherapy.

BACKGROUND: Breast cancer with ipsilateral supraclavicular lymph node metastasis is one of the indicators of poor prognosis. Patients who attain pathologic complete response in breast and axillary sites have improved survival and are highest in aggressive HR-HER2- and HER2-positive tumor subtypes. However, there is no study on the related factors and prognostic value of supraclavicular pathologic complete response in breast cancer after neoadjuvant chemotherapy. The aim of our work was to investigate the factors and prognostic significance of pathologic complete response of ipsilateral supraclavicular lymph node metastasis in breast cancer after neoadjuvant chemotherapy. METHODS: A total of 214 patients with breast cancer who had primary ISLN metastasis, receiving NAC and subsequent ISLN dissection, were retrospectively and consecutively reviewed. Univariate and multivariate analyses were performed using χ2 test and the logistic regression model, and the prognosis was analyzed by Kaplan-Meier curve. RESULTS: All patients included were women who were 26-74 years old. The rate of supraclavicular pathologic complete response (pCR) was 53.7%. Multivariate analysis showed that the expression of Ki67, breast pCR, and axillary pCR were independent predictors of supraclavicular pCR (P<0.05). After a median follow-up of 16.2 months, the risk of recurrence and metastasis in patients with supraclavicular pCR was half reduced compared to that of the non-pCR group (HR 0.51, 95% CI, 0.32-0.80, P<0.01), mainly manifested in HR-HER2- and HER2-positive disease. CONCLUSIONS: The expression level of Ki67, breast pCR, and axillary pCR were independent predictors of supraclavicular pCR. Supraclavicular pCR was an independent predictor of disease-free survival (DFS). Surgical removal of supraclavicular lymph nodes can accurately evaluate the rate of supraclavicular pCR, which is of great significance for patient prognosis.

Lin28 induces epithelial-to-mesenchymal transition and stemness via downregulation of let-7a in breast cancer cells.

The RNA-binding protein Lin28 is known to promote malignancy by inhibiting the biogenesis of let-7, which functions as a tumor suppressor. However, the role of the Lin28/let-7 axis in the epithelial-to-mesenchymal transition (EMT) and stemness in breast cancer has not been clearly expatiated. In our previous study, we demonstrated that let-7 regulates self-renewal and tumorigenicity of breast cancer stem cells. In the present study, we demonstrated that Lin28 was highly expressed in mesenchymal (M) type cells (MDA-MB-231 and SK-3rd), but it was barely detectable in epithelial (E) type cells (MCF-7 and BT-474). Lin28 remarkably induced the EMT, increased a higher mammosphere formation rate and ALDH activity and subsequently promoted colony formation, as well as adhesion and migration in breast cancer cells. Furthermore, we demonstrated that Lin28 induced EMT in breast cancer cells via downregulation of let-7a. Strikingly, Lin28 overexpression was found in breast cancers that had undergone metastasis and was strongly predictive of poor prognoses in breast cancers. Given that Lin28 induced the EMT via let-7a and promoted breast cancer metastasis, Lin28 may be a therapeutic target for the eradication of breast cancer metastasis.