Development and Validation of a Prognostic Nomogram for Breast Cancer Patients With Multi-Organ Metastases: An Analysis of the Surveillance, Epidemiology, and End Results Program Database.

BACKGROUND: Multi-organ metastases represent a substantial life-threatening risk for breast cancer (BC) patients. Nonetheless, the current dearth of assessment tools for patients with multi-organ metastatic BC adversely impacts their evaluation. METHODS: We conducted a retrospective analysis of BC patients with multi-organ metastases using data from the SEER database from 2010 to 2019. The patients were randomly allocated into a training cohort and a validation cohort in a 7:3 ratio. Univariate COX regression analysis, the LASSO, and multivariate Cox regression analyses were performed to identify independent prognostic factors in the training set. Based on these factors, a nomogram was constructed to estimate overall survival (OS) probability for BC patients with multi-organ metastases. The performance of the nomogram was evaluated using C-indexes, ROC curves, calibration curves, decision curve analysis (DCA) curves, and the risk classification system for validation. RESULTS: A total of 3626 BC patients with multi-organ metastases were included in the study, with 2538 patients in the training cohort and 1088 patients in the validation cohort. Age, grade, metastasis location, surgery, chemotherapy, and subtype were identified as significant independent prognostic factors for OS in BC patients with multi-organ metastases. A nomogram for predicting 1-year, 3-year, and 5-year OS was constructed. The evaluation metrics, including C-indexes, ROC curves, calibration curves, and DCA curves, demonstrated the excellent predictive performance of the nomogram. Additionally, the risk grouping system effectively stratified BC patients with multi-organ metastases into distinct prognostic categories. CONCLUSION: The developed nomogram showed high accuracy in predicting the survival probability of BC patients with multi-organ metastases, providing valuable information for patient counseling and treatment decision making.

A Population-Based Research Utilized a Risk Stratification Model to Forecast the Overall Survival of Young Women With Diagnosed Stage IV Breast Cancer.

BACKGROUND: The goal of this study is to develop a risk prediction model for estimating overall survival (OS) in young females diagnosed with stage IV breast cancer. METHODS: The clinical information was retrieved from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. To identify the dependent risk factors, we utilized the Cox proportional hazards regression model in both single and multivariate analyses. We then created a new nomogram to predict the 1-, 3-, and 5-year overall survival probability for these patients based on the identified risk factors. RESULTS: Six hundred seventy-six patients who met the eligibility requirements were stochastically partitioned into training (n = 475) and validation (n = 201) groups in a 7:3 ratio. Histology, breast subtype, T classification, brain metastasis, bone metastasis, liver metastasis, and surgery were identified as independent prognostic factors for cancer. To predict the 1-, 3-, and 5-year overall survival (OS) probabilities, all of these independent factors were incorporated into nomograms. Our nomogram demonstrated a favorable discriminatory power, as evidenced by a C-index of 0.737 (95% CI: 0.708-0.766) and 0.717 (95% CI: 0.664-0.770) for the training and validation cohorts, respectively. The calibration curves showed satisfactory consistency in both cohorts. Using this nomogram, we developed a risk stratification model that categorized patients into low-, intermediate-, and high-risk groups. CONCLUSION: The prediction model was more precisely to predict the OS of young females with stage IV breast cancer and could enable individualized risk estimation that could be conducive to physicians exploring therapeutic strategies for effectiveness.

Exploring the most appropriate lymph node staging system for node-positive breast cancer patients and constructing corresponding survival nomograms.

BACKGROUND: The lymph node (LN) status is a crucial prognostic factor for breast cancer (BC) patients. Our study aimed to compare the predictive capabilities of three different LN staging systems in node-positive BC patients and develop nomograms to predict overall survival (OS). METHODS: We enrolled 71,213 eligible patients from the SEER database, and 667 cases from our hospital were used for external validation. All patients were divided into two groups based on the number of removed lymph nodes (RLNs). The prognostic abilities of pN stage, positive LN ratio (LNR), and log odds of positive LN (LODDS) were compared using the C-indexes and AUC values. LASSO regression was performed to identify significant factors associated with prognosis and develop corresponding nomogram models. RESULTS: Our study found that LNR had superior predictive performance compared to pN and LODDS among patients with RLNs < 10, while pN performed better in patients with RLNs ≥ 10. In the training set, the nomogram models exhibited excellent clinical applicability, as evidenced by the C-indexes, ROC curves, calibration plots, and decision curve analysis curves. Moreover, the nomogram classification accurately differentiated risk subgroups and improved discrimination. These results were externally validated in the validation cohort. CONCLUSION: Physicians should select different LN staging systems based on the number of RLNs. Our novel nomograms demonstrated excellent performance in both internal and external validations, which may assist in patient counseling and guide treatment decision-making.

Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation.

Background: Phosphatidylinositol binding clathrin assembly protein interacting mitotic regulator (PIMREG) expression is upregulated in a variety of cancers. However, its potential role in breast cancer (BC) remains uncertain. Methods: The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to gather relevant information. The expression of PIMREG and its clinical implication in BC were assessed by using Wilcoxon rank-sum test. The prognostic value of PIMREG in BC was evaluated through the Cox regression model and nomogram, and visualized by Kaplan-Meier survival curves. Genes/proteins that interact with PIMREG in BC were also identified through GeneMANIA and MaxLink. Gene set enrichment analysis (GSEA) was then performed. The correlations of the immune cell infiltration and immune checkpoints with the expression of PIMREG in BC were explored via TIMER, TISIDB, and GEPIA. Potential drugs that interact with PIMREG in BC were explored via Q-omic. The siRNA transfection, CCK-8, and transwell migration assay were conducted to explore the function of PIMREG in cell proliferation and migration. Results: PIMREG expression was significantly higher in infiltrating ductal carcinoma, estrogen receptor negative BC, and progestin receptor negative BC. High expression of PIMREG was associated with poor overall survival, disease-specific survival, and progression-free interval. A nomogram based on PIMREG was developed with a satisfactory prognostic value. PIMREG also had a high diagnostic ability, with an area under the curve of 0.940. Its correlations with several immunomodulators were also observed. Immune checkpoint CTLA-4 was significantly positively associated with PIMREG. HDAC2 was found as a potentially critical link between PIMREG and BRCA1/2. In addition, PIMREG knockdown could inhibit cell proliferation and migration in BC. Conclusions: The high expression of PIMREG is associated with poor prognosis and immune checkpoints in BC. HDAC2 may be a critical link between PIMREG and BRCA1/2, potentially a therapeutic target.

Identification of prognostic cancer-associated fibroblast markers in luminal breast cancer using weighted gene co-expression network analysis.

Background: Cancer-associated fibroblasts (CAFs) play a pivotal role in cancer progression and are known to mediate endocrine and chemotherapy resistance through paracrine signaling. Additionally, they directly influence the expression and growth dependence of ER in Luminal breast cancer (LBC). This study aims to investigate stromal CAF-related factors and develop a CAF-related classifier to predict the prognosis and therapeutic outcomes in LBC. Methods: The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were utilized to obtain mRNA expression and clinical information from 694 and 101 LBC samples, respectively. CAF infiltrations were determined by estimating the proportion of immune and cancer cells (EPIC) method, while stromal scores were calculated using the Estimation of STromal and Immune cells in MAlignant Tumors using Expression data (ESTIMATE) algorithm. Weighted gene co-expression network analysis (WGCNA) was used to identify stromal CAF-related genes. A CAF risk signature was developed through univariate and least absolute shrinkage and selection operator method (LASSO) Cox regression model. The Spearman test was used to evaluate the correlation between CAF risk score, CAF markers, and CAF infiltrations estimated through EPIC, xCell, microenvironment cell populations-counter (MCP-counter), and Tumor Immune Dysfunction and Exclusion (TIDE) algorithms. The TIDE algorithm was further utilized to assess the response to immunotherapy. Additionally, Gene set enrichment analysis (GSEA) was applied to elucidate the molecular mechanisms underlying the findings. Results: We constructed a 5-gene prognostic model consisting of RIN2, THBS1, IL1R1, RAB31, and COL11A1 for CAF. Using the median CAF risk score as the cutoff, we classified LBC patients into high- and low-CAF-risk groups and found that those in the high-risk group had a significantly worse prognosis. Spearman correlation analyses demonstrated a strong positive correlation between the CAF risk score and stromal and CAF infiltrations, with the five model genes showing positive correlations with CAF markers. In addition, the TIDE analysis revealed that high-CAF-risk patients were less likely to respond to immunotherapy. Gene set enrichment analysis (GSEA) identified significant enrichment of ECM receptor interaction, regulation of actin cytoskeleton, epithelial-mesenchymal transition (EMT), and TGF-ß signaling pathway gene sets in the high-CAF-risk group patients. Conclusion: The five-gene prognostic CAF signature presented in this study was not only reliable for predicting prognosis in LBC patients, but it was also effective in estimating clinical immunotherapy response. These findings have significant clinical implications, as the signature may guide tailored anti-CAF therapy in combination with immunotherapy for LBC patients.

Influence of advanced age on the prognosis of triple-negative breast cancer patients: A surveillance, epidemiology, and end results-based study.

Introduction: Age at diagnosis has shown significant effect on the prognosis in breast cancer patients. However, whether age is an independent risk factor remains controversial. Furthermore, population-based estimates of age on the prognosis impact in triple-negative breast cancer are still lacking. The aim of this study was to analyze the influence of age and other factors on the prognosis and survival of triple-negative breast cancer patients. Materials and Methods: We used the surveillance, epidemiology, and end results program data from 2011 to 2014. A retrospective cohort study was conducted to investigate prognosis factors in triple-negative breast cancer. Patients were divided into two groups according to age at diagnosis: 75 + years (the elderly patients) and < 75 years (reference group). The clinicopathologic characteristics of different age groups were compared using Chi-square tests. Overall survival (OS) and breast cancer-specific survival were analyzed using the Kaplan-Meier method. Prognostic factors were compared using the Cox proportional hazards model. We also analyzed the difference of distant metastasis at initial diagnosis on every group. Results: A total of 21,429 triple-negative breast cancer patients were included in our study. The mean breast cancer-specific survival time of triple-negative breast cancer was 70.5 months for the reference group and 62.4 months for the elderly group. Survival analysis showed that the breast cancer-specific survival rate was 78.9% for the reference group and 67.4% for the elderly group. The mean OS time was 69.0 months for the reference group and 52.3 months for the elderly group. The 5-year OS of triple-negative breast cancer patients was 76.4% for the reference group and 51.3% for the elderly group. The prognosis of elderly patients is much poor than reference group. Univariate Cox regression analysis showed that age, race, marital status, histological grade, stage, T, N, M, surgery, radiotherapy, and chemotherapy were risk factors for triple-negative breast cancer (TNBC) (P < 0.05). Multivariate Cox regression analysis showed that age, race, marital status, histological grade, stage, T, N, M, surgery, radiotherapy, and chemotherapy were independent risk factors for TNBC (P < 0.05). Conclusions: Age is an independent risk factor for the prognosis of TNBC patients. Elderly triple-negative breast cancer patients displayed obvious lower 5-year survival rate compared to reference group, even though they have better grade stage, minor tumor, less lymph node metastasis. The lower rate of marital status, radiotherapy, chemotherapy, surgery, and higher rate of metastasis at diagnosis must contribute to their poor outcome.

Cytotoxic indole alkaloids and polyketides produced by a marine-derived fungus Aspergillus flavipes DS720.

Marine-derived microorganisms possess the unique metabolic pathways to produce structurally novel secondary metabolites with potent biological activities. In this study, bioactivity-guided isolation of the marine deep-sea-derived fungus Aspergillus flavipes DS720 led to the characterization of four indole alkaloids (compounds 1-4) and four polyketides (compounds 5-8), such as two new indoles, flavonoids A (1) and B (2) with a C-6 reversed prenylation, and a new azaphilone, flaviazaphilone A (5). Their chemical structures were unambiguously established by an extensive interpretation of spectroscopic data, such as 1D/2D NMR and HRESIMS data. The absolute configurations of the new compound 5 were solved by comparing the experimental and calculated Electronic Circular Dichroism (ECD) spectra. Since sufficient amount of flavonoids A (1) was obtained, 1 was subjected to a large-scale cytotoxic activity screening against 20 different human tumor cell lines. The results revealed that 1 showed broad-spectrum cytotoxicities against HeLa, 5637, CAL-62, PATU8988T, A-375, and A-673 cell lines, with the inhibition rates of more than 90%. This study indicated that the newly discovered indole alkaloid 1 may possess certain potential for the development of lead compounds in the future.

Impact of adjuvant chemotherapy on T1N0M0 breast cancer patients: a propensity score matching study based on SEER database and external cohort.

BACKGROUND: There is no clear consensus on the benefits of adjuvant chemotherapy for tumor-node-metastasis (TNM) stage T1 (T1N0M0) breast cancer (BC). Our study investigated the effects of adjuvant chemotherapy on T1N0M0 BC patients. METHODS: Seventy-five thousand one hundred thirty-nine patients diagnosed with T1N0M0 BC were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Multivariate Cox analyses were performed to investigate the effects of adjuvant chemotherapy on T1a, T1b, and T1cN0M0 BC, including various tumor grades, and four molecular subtypes. Propensity score matching (PSM) was used to eliminate confounding factors and further compare the results between adjuvant chemotherapy and no adjuvant chemotherapy. Additionally, 545 T1N0M0 BC patients treated at the Northern Jiangsu People's Hospital were included as an independent external validation cohort. Univariate and multivariate Cox analyses were used to confirm the effects of adjuvant chemotherapy in T1a, T1b, and T1cN0M0 BC. Survival curves for the different tumor grades and molecular subtypes were plotted using the Kaplan-Meier method. RESULTS: Adjuvant chemotherapy demonstrated a statistically significant improvement in overall survival (OS) in T1b and T1c BC, but not in T1a BC. Within T1b BC, adjuvant chemotherapy was found to have effects on grade III, and hormone receptor + (HoR +)/human epidermal growth factor receptor 2 + (HER2 +), HoR-/HER2 + , and HoR-/HER2- molecular subtypes, respectively. Adjuvant chemotherapy was beneficial to OS for grade II/III and T1c BC. Identical results were obtained after PSM. We also obtained similar results with external validation cohort, except that adjuvant chemotherapy made a difference in grade II and T1b BC of the external validation dataset. CONCLUSIONS: Partial T1N0M0 BC patients with grade III T1bN0M0, patients with tumor grade II and III T1cN0M0, and excluding those with HoR + /HER2- subtype tumors, could obtain OS benefits from adjuvant chemotherapy.

Survival Nomogram for Young Breast Cancer Patients Based on the SEER Database and an External Validation Cohort.

BACKGROUND: Young breast cancer (YBC) patients are more prone to lymph node metastasis than other age groups. Our study aimed to investigate the predictive value of lymph node ratio (LNR) in YBC patients and create a nomogram to predict overall survival (OS), thus helping clinical diagnosis and treatment. METHODS: Patients diagnosed with YBC between January 2010 and December 2015 from the Surveillance, Epidemiology, and End Results (SEER) database were enrolled and randomly divided into a training set and an internal validation set with a ratio of 7:3. An independent cohort from our hospital was used for external validation. Univariate and least absolute shrinkage and selection operator (LASSO) regression were used to identify the significant factors associated with prognosis, which were used to create a nomogram for predicting 3- and 5-year OS. RESULTS: We selected seven survival predictors (tumor grade, T-stage, N-stage, LNR, ER status, PR status, HER2 status) for nomogram construction. The C-indexes in the training set, the internal validation set, and the external validation set were 0.775, 0.778 and 0.817, respectively. The nomogram model was well calibrated, and the time-dependent ROC curves verified the superiority of our model for clinical usefulness. In addition, the nomogram classification could more precisely differentiate risk subgroups and improve the discrimination of YBC prognosis. CONCLUSIONS: LNR is a strong predictor of OS in YBC patients. The novel nomogram based on LNR is a reliable tool to predict survival, which may assist clinicians in identifying high-risk patients and devising individual treatments.

Patterns and risk factors of peripherally inserted central venous catheter-related symptomatic thrombosis events in patients with malignant tumors receiving chemotherapy.

OBJECTIVE: Peripherally inserted central venous catheter (PICC)-related thrombosis (PRT) is a serious complication that can lead to interruptions in chemotherapy and other supportive care, as well as increased hospital stay and costs. We conducted a retrospective study to evaluate the patterns of symptomatic PRT in patients with cancer undergoing chemotherapy and their risk factors. METHODS: A retrospective study of 938 PICC patients from our institution between November 2014 and July 2017 was performed. Symptomatic PRT events were confirmed by color Doppler ultrasonography or computed tomography pulmonary angiography in the presence of clinical symptoms. The variables of interest were extracted from the electronic medical record system. Logistic regression analysis was used to determine the risk factors for PRT. RESULTS: Of the 938 patients who were followed up for more than 120,000 patient-days, 63 patients (6.7%; 0.51 per 1000 catheter-days) had symptomatic PRT. Sixty-one patients were diagnosed with upper extremity venous thrombosis (UEVT), of which 18 were isolated superficial vein thrombosis (SVT), 19 were isolated deep vein thrombosis (DVT), and 24 were extensive venous thrombosis (EVT). Two patients were diagnosed with pulmonary embolism, and two patients were diagnosed with UEVT with pulmonary embolism. The symptomatic SVT occurred in 42 of 938 patients with cancer (4.5%), which accounted for 68.9% of all UEVT events. The median time to PRT was 21 days, and the median time to catheter removal in the PRT group was 66 days as compared with 117 days in the no PRT group. Predictors associated with increased risk of PRT were age >60 years (odds ratio [OR], 2.142; 95% confidence interval [CI], 1.118-4.103) and a chemotherapy regimen containing fluorouracil (OR, 2.429; 95% CI, 1.013-5.825). Hypertension with medication was a protective factor for PRT (OR, 0.306; 95% CI, 0.113-0.828). Among the 28 patients who did not remove their PICCs immediately after PRT was diagnosed, patients with SVT, DVT, and EVT had similar success rates of retaining catheters in situ after anticoagulant therapy (SVT, 83.3%; DVT, 62.5%; EVT, 75.0%; P = .667). CONCLUSIONS: Age >60 years and chemotherapy regimens containing fluorouracil were independent risk factors for PRT and hypertension with medication was associated with a lower risk of PRT in patients with cancer with PICCs receiving chemotherapy. PICCs-related SVT was a frequent type of PRT, which might need a better understanding and anticoagulant therapy in patients with cancer with PICCs.

MiR-539 inhibits the malignant behavior of breast cancer cells by targeting SP1.

The aberrant expression of microRNAs (miRNAs) is involved in the initiation and progression of human cancers. In our study, we found that miR-539 was down-regulated in breast cancer tissues and cell lines. Decreased expression of miR-539 was significantly associated with lymph node metastasis in patients with breast cancer. Overexpression of miR-539 inhibited the proliferation and promoted apoptosis of breast cancer cells. Moreover, highly expressed miR-539 significantly suppressed the epithelial-mesenchymal transition (EMT) and sensitized cells to cisplatin treatment. Mechanistically, miR-539 was found to target the specificity protein 1 (SP1) and down-regulated the expression of SP1 in breast cancer cells. Knockdown of miR-539 consistently increased the expression of SP1. The expression of miR-539 in breast cancer tissues was negatively correlated with the expression of SP1. Restoration of SP1 significantly attenuated the inhibitory effect of miR-539 on the proliferation of breast cancer cells. Taken together, our results indicate that miR-539 has a tumor suppressive role in breast cancer via targeting SP1, suggesting miR-539 as a promising target for the diagnosis of breast cancer.

Worse characteristics can predict survival effectively in bilateral primary breast cancer: A competing risk nomogram using the SEER database.

OBJECTIVE: There is limited information from population-based cancer registries regarding prognostic features of bilateral primary breast cancer (BPBC). METHODS: Female patients diagnosed with BPBC between 2004 and 2014 were randomly divided into training (n = 7740) and validation (n = 2579) cohorts from the Surveillance, Epidemiology, and End Results Database. We proposed five various models. Multivariate Cox hazard regression and competing risk analysis were to explore prognosis factors in training cohort. Competing risk nomograms were constructed to combine significant prognostic factors to predict the 3-year and the 5-year survival of patients with BPBC. At last, in the validation cohort, the new score performance was evaluated with respect to the area under curve, concordance index, net reclassification index and calibration curve. RESULTS: We found out that age, interval time, lymph nodes invasion, tumor size, tumor grade and estrogen receptor status were independent prognostic factors in both multivariate Cox hazard regression analysis and competing risk analysis. Concordance index in the model of the worse characteristics was 0.816 (95% CI: 0.791-0.840), of the bilateral tumors was 0.819 (95% CI: 0.793-0.844), of the worse tumor was 0.807 (0.782-0.832), of the first tumor was 0.744 (0.728-0.763) and of the second tumor was 0.778 (0.762-0.794). Net reclassification index of the 3-year and the 5-year between them was 2.7% and -1.0%. The calibration curves showed high concordance between the nomogram prediction and actual observation. CONCLUSION: The prognosis of BPBC depended on bilateral tumors. The competing risk nomogram of the model of the worse characteristics may help clinicians predict survival simply and effectively. Metachronous bilateral breast cancer presented poorer survival than synchronous bilateral breast cancer.

Early and late outcomes of bevacizumab plus chemotherapy versus chemotherapy alone as a neoadjuvant treatment in HER2-negative nonmetastatic breast cancer: a meta-analysis of randomized controlled trials.

PURPOSE: To better clarify the efficacy of neoadjuvant bevacizumab plus chemotherapy (BEV + CT) vs chemotherapy (CT) alone in the treatment of HER2-negative nonmetastatic breast cancer. METHODS: PubMed, Embase, Web of Science, and Cochrane Library databases were searched for relevant articles published from January 1, 2000 to July 31, 2018. Review Manager software version 5.3 was used to perform this meta-analysis. RESULTS: Six randomized controlled trials matched the selection criteria, yielding a total of 4,354 patients with early outcomes and 3,777 patients with late outcomes. Pooled pathological complete response (pCR) and 5-year disease-free survival (DFS) rates were higher for the neoadjuvant BEV + CT group (OR =1.37 [1.19, 1.58]; P<0.001 and HR =0.84 [0.72, 0.98]; P=0.020, respectively), but 5-year overall survival (OS) rate showed no significant difference (HR =0.79 [0.55, 1.11]; P=0.180). Subgroup analysis showed that the pCR rate was significantly higher in both patients with hormone receptor (HR)-positive breast cancer (OR =1.30 [1.01, 1.66]; P=0.040) and those with HR-negative breast cancer (OR =1.52 [1.25, 1.83]; P<0.001) in BEV + CT group. CONCLUSION: Compared with CT alone, neoadjuvant BEV + CT significantly improved the 5-year DFS rate of HER2-negative breast cancer patients, but showed no benefit in terms of 5-year OS rate.

Characterization and prognosis of estrogen receptor-positive/progesterone receptor-negative male breast cancer: a population-based study.

BACKGROUND: The aim of this study was to explore the characteristics and prognostic information of estrogen receptor-positive/progesterone receptor-negative (ER+/PR-) male breast cancer. METHODS: Using the US National Cancer Institute's Surveillance, Epidemiology, and End Results database, we compared the demographics, clinical characteristics, and outcome of estrogen receptor-positive/progesterone receptor-positive (ER+/PR+) patients with ER+/PR- male breast cancer patients from 1990 to 2010. Two thousand three hundred twenty-two patients with ER+/PR+ tumors and 355 patients with ER+/PR- tumors were included in our study. RESULTS: ER+/PR- patients were younger (P = 0.008) and more likely to be African American (P < 0.001) while presented with higher histological grade (P < 0.001), larger tumor size (P = 0.010), and more invasion to the lymph nodes (P = 0.034) and distant sites (P < 0.001), thus later stage (P = 0.001). Despite higher chance of receiving chemotherapy (51.0% vs 36.5%, P < 0.001), ER+/PR- patients experienced significantly worse breast cancer-specific survival (BSCC) (P < 0.001) and shorter overall survival (OS) (P = 0.003). Multivariate Cox model confirmed that tumor size, lymph node invasion, metastasis, and surgery were independent prognostic factors of both BSCC and OS for ER+/PR- male breast cancer. Age at diagnosis and chemotherapy were significantly associated with OS but not with BSCC. CONCLUSION: ER+/PR- male breast cancer was more aggressive and experienced shorter survival than ER+/PR+ patients. The prognosis was mainly associated with tumor size, lymph node invasion, metastasis, and surgery.

PGK1 is a Potential Survival Biomarker and Invasion Promoter by Regulating the HIF-1α-Mediated Epithelial-Mesenchymal Transition Process in Breast Cancer.

BACKGROUND/AIMS: Glycolysis, a multi-step enzymatic reaction, is considered to be the root of cancer development and progression. The aim of this study is to figure out which glycolysis enzyme participates in the progression of breast cancer and its possible mechanisms. MATERIALS: We firstly screened out PGK1 by performing an RT-PCR array of glycolysis-related genes in three paired breast cancer samples, and further investigated PGK1 using TCGA and our own database. The effect and mechanism of PGK1 on cell invasion was further explored both in vitro and using patient samples. RESULTS: PGK1 was most upregulated in T3N0 with distant metastases compared to those with no metastases. In the TCGA database, high PGK1 expression predicted poor overall survival (OS) in breast cancer and some other cancers (P< 0.001). In the validation cohort, high PGK1 expression was significantly correlated with larger tumor size (P=0.011) and advanced TNM stage (P=0.033), and PGK1 expression was an independent prognostic factor for OS and disease free survival (DFS) in both univariate and multivariate regression analyses (P< 0.05). Functional studies indicated that knockdown of PGK1 expression significantly inhibited invasion and reversed the epithelial-mesenchymal transition process in breast cancer cells (P< 0.05). Mechanistically, PGK1 increased HRE luciferase activity in a dose-dependent manner, while silencing PGK1 expression decreased HRE activity. CONCLUSION: High PGK1 expression was associated with poor prognosis in breast cancer, because PGK1 and HIF-1α formed a positive feed-forward loop and thus stimulated breast cancer progression and metastases. Based on these results, PGK1 may serve as a promising biomarker and target therapy for breast cancer.

Laminin is over expressed in breast cancer and facilitate cancer cell metastasis.

AIM OF STUDY: Breast cancer invasion and metastasis is the main reason for the failure, and laminin is involved in it. This study intends to explore the expression of laminin in breast cancer and normal breast tissue and its clinical significance. MATERIALS AND METHODS: We use immunohistochemical assay for the detection of breast infiltrating ductal cancer tissues and normal breast tissues of laminin expression and discuss their role in breast cancer invasion and metastasis. RESULTS: Our results showed that laminin was positive expressed in normal breast tissue, and strongly positive expressed but lost its' continuity in the breast cancer tissue. CONCLUSION: This results revealed laminin is involved in breast cancer invasion and metastasis, and we can use this to determine whether the integrity of a basement membrane for differential diagnosis of benign and malignant breast tumors.

HMGB2 is associated with malignancy and regulates Warburg effect by targeting LDHB and FBP1 in breast cancer.

BACKGROUND: High-mobility group box 2 (HMGB2) is implicated in tumorigenesis in various cancers. However, the clinical significance of HMGB2 signaling in human breast cancer progression remains unknown. METHODS: We investigated HMGB2 expression in 185 cases of primary breast cancer and matched normal breast tissue specimens, and explored the underlying mechanisms of altered HMGB2 expression as well as the impact of this altered expression on breast cancer growth and on aerobic glycolysis using in vitro and animal models of breast cancer. RESULTS: HMGB2 was more highly expressed in tumor-cell nuclei of breast cancer cells than in the adjacent normal breast tissues (P < 0.05). Higher HMGB2 expression correlated with larger tumor size (P = 0.003) and advanced tumor stage (P = 0.033). A Cox proportional hazards model revealed that HMGB2 expression was an independent prognostic factor for breast cancer after radical resection (P < 0.05). Experimentally, knockdown of HMGB2 expression by stable transfected shRNA significantly decreased the growth and glycolysis of breast cancer cells both in vitro and in mouse models. Mechanically, promotion of breast cancer progression by HMGB2 directly and significantly correlated with activation of LDHB expression and inactivation of FBP1 expression. CONCLUSIONS: These results disclose a novel role for HMGB2 in reprogramming the metabolic process in breast cancer cells by targeting LDHB and FBP1 and provide potential prognostic predictors for breast cancer patients.

Loss of fibulin-2 expression is involved in the inhibition of breast cancer invasion and forms a new barrier in addition to the basement membrane.

Previous studies have demonstrated that fibulin-2 may facilitate cancer cell invasion and metastasis during tumor progression. In the present study, immunohistochemical analyses of fibulin-2 and collagen IV expression in 35 patients with breast cancer were performed to define their localization and association with breast cancer tissue. Fibulin-2 was revealed to be expressed in all tissues surrounding the breast ducts and blood vessels in normal breast tissue, while its expression was not integrated in invasive ductal carcinoma or terminal duct-lobular unit. In malignant breast tissue, collagen IV was integrated around the duct, while fibulin-2 was expressed around collagen IV and was incomplete. These results demonstrated that fibulin-2 was associated with breast cancer invasion. Fibulin-2 expression decreased prior to basement membrane (BM) degradation, indicating that fibulin-2 forms an additional barrier around the BM. Therefore, it was proposed that fibulin-2 composes the general BM, which differs from the traditional BM. These results provide insight into extracellular matrix components and the involvement of fibulin-2 in tumor invasion and metastasis. Fibulin-2 was involved in the process of breast cancer development. It performed an important role in prevention of cancer cell penetration and metastasis.