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Tumor therapeutics often target the primary tumor bulk but fail to eradicate therapy-resistant cancer stem cells (CSCs) in quiescent state. These can then become activated to initiate recurrence and/or metastasis beyond therapy. Here, we identified and isolated chemoradiotherapy-resistant CSCs in quiescent state with high capacity of tumor-initiation and tumorsphere formation from three types of breast tumors in mice. Experiments of knockdown and rescue revealed DEK, a nuclear protein, as essential for CSC activation. Exogenous DEK was then used to trigger quiescence exit of CSCs. ChIP-seq and ATAC-seq showed that DEK directly binds to chromatin, facilitating its genome-wide accessibility. The resulting epigenetic events upregulate the expression of cellular activation-related genes including MYC targets, whereas cellular quiescence-related genes including the p53 signaling pathway are silenced. However, twinned with DEK-induced activation, formerly resistant CSCs were then destroyed by chemotherapy in vitro. In mice, traditional chemoradiotherapy concurrent with the injection of DEK-containing exosomes resulted in eradication of primary tumors together with formerly resistant CSCs without recurrence or metastasis. Our findings advance knowledge of the mechanism of quiescent CSC activation and may provide novel clinical opportunities for removal of quiescence-linked therapy resistance.

Quiescent cancer stem cells (CSC) play important roles in tumorigenesis, relapse, and resistance to chemoradiotherapy. However, the determinants of CSC quiescence and how they sustain themselves to generate tumors and relapse beyond resistance to chemoradiotherapy remains unclear. Here, we found that SET domain–containing protein 4 (SETD4) epigenetically controls breast CSC (BCSC) quiescence by facilitating heterochromatin formation via H4K20me3 catalysis. H4K20me3 localized to the promoter regions and regulated the expression of a set of genes in quiescent BCSCs (qBCSC). SETD4-defined qBCSCs were resistant to chemoradiotherapy and promoted tumor relapse in a mouse model. Upon activation, a SETD4-defined qBCSC sustained itself in a quiescent state by asymmetric division and concurrently produced an active daughter cell that proliferated to produce a cancer cell population. Single-cell sequence analysis indicated that SETD4+ qBCSCs clustered together as a distinct cell type within the heterogeneous BCSC population. SETD4-defined quiescent CSCs were present in multiple cancer types including gastric, cervical, ovarian, liver, and lung cancers and were resistant to chemotherapy. SETD4-defined qBCSCs had a high tumorigenesis potential and correlated with malignancy and chemotherapy resistance in clinical breast cancer patients. Taken together, the results from our previous study and current study on six cancer types reveal an evolutionarily conserved mechanism of cellular quiescence epigenetically controlled by SETD4. Our findings provide insights into the mechanism of tumorigenesis and relapse promoted by SETD4-defined quiescent CSCs and have broad implications for clinical therapies.Significance:These findings advance our knowledge on the epigenetic determinants of quiescence in cancer stem cell populations and pave the way for future pharmacologic developments aimed at targeting drug-resistant quiescent stem cells.

Supplementary Table S1 and Supplementary Figure S1 to S11

Multidrug resistance (MDR) is a serious challenge in chemotherapy and also a major threat to breast cancer treatment. As an intracellular energy factory, mitochondria provide energy for drug efflux and are deeply involved in multidrug resistance. Mitochondrial targeted delivery of doxorubicin can overcome multidrug resistance by disrupting mitochondrial function. By incorporating a reactive oxygen species (ROS)-responsive hydrophobic group into the backbone structure of hyaluronic acid - a natural ligand for the highly expressed CD44 receptor on tumor surfaces, a novel ROS-responsive and CD44-targeting nano-carriers was constructed. In this study, mitochondria-targeted triphenylphosphine modified-doxorubicin (TPP-DOX) and amphipathic ROS-responsive hyaluronic acid derivatives (HA-PBPE) were synthesized and confirmed by

In breast conserving surgery (BCS), specimen mammography is one of the most widely used intraoperative methods of assessing margin status. We performed a meta-analysis to evaluate the diagnostic accuracy of specimen mammography. Literature databases including PubMed, Cochrane Library, Web of Science, and EMBASE were searched prior to Jun 2022. A total of 1967 patients were included from 20 studies. A pooled analysis, heterogeneity testing, threshold effect testing, publication bias analysis, and subgroup analyses were performed from extracted data. The pooled weighted values were a sensitivity of 0.55 (95% confidence interval [CI], 0.47–0.63), a specificity of 0.85 (95% CI, 0.78–0.90), a diagnostic odds ratio of 7 (95% CI, 4–12), and a pooled positive likelihood ratio of 3.7 (95% CI 2.6–5.5). The area under the receiver operator characteristic curve was 0.75 (95% CI 0.71–0.78). In the subgroup analysis, the pooled specificity in the positive margin defined as tumor at margin subgroup was lower than the other positive margin definition subgroup (0.82 [95% CI: 0.71, 0.92] vs. 0.87 [95% CI: 0.80, 0.94], p = 0.01). Our findings indicated that specimen mammography was an accurate intraoperative imaging technique for margin assessment in BCS.

Background. In previous studies, electroacupuncture (EA) with 2/15 Hz has been shown to enhance the sedative effects in general anesthesia patients. Central lateral thalamic stimulation of 50 Hz showed an arousal effect in macaques. Therefore, it is worth studying the sedative effect of EA at peripheral acupoints with different frequencies, especially the frequency of around 50 Hz. Methods. Rats were anesthetized under the constant infusion of propofol and EA at Zusanli (ST36) and Neiguan (PC6) locations. Electroencephalography (EEG) and heart rate were continuously recorded before and after the intervention by EA in the C group (control), LEA group (low-frequency group, 2/15 Hz diffuse/dense wave EA stimulation), and HEA group (high-frequency group, 50 Hz stimulation). Results. In the LEA group, a significant increase in the power of the delta component with a decrease in the alpha component p < 0.05 was observed after EA stimulation. In the HEA group, significant increases in the powers of alpha and beta components of EEG p < 0.05 and a decrease in the delta component of EEG were observed p < 0.05 . The phenomenon is also shown in full-frequency waves. In addition, a significant decrease in the low-frequency/high-frequency ratio parameter was observed in the LEA group. Conclusions. EA at bilateral ST36 and PC6 can enhance the sedative effects of propofol anesthesia in low-frequency stimulation but lighten the sedative effects in high-frequency (50 Hz) stimulation. The sympathetic-vagal balance was affected due to low-frequency EA.

BACKGROUND In an environment of limited kidney donation resources, patient recovery and survival after kidney transplantation (KT) are highly important. We used pre-operative data of kidney recipients to build a statistical model for predicting survivability after kidney transplantation. MATERIAL AND METHODS A dataset was constructed from a pool of patients who received a first KT in our hospital. For allogeneic transplantation, all donated kidneys were collected from deceased donors. Logistic regression analysis was used to change continuous variables into dichotomous ones through the creation of appropriate cut-off values. A regression model based on the least absolute shrinkage and selection operator (LASSO) algorithm was used for dimensionality reduction, feature selection, and survivability prediction. We used receiver operating characteristic (ROC) analysis, calibration, and decision curve analysis (DCA) to evaluate the performance and clinical impact of the proposed model. Finally, a 10-fold cross-validation scheme was implemented to verify the model robustness. RESULTS We identified 22 potential variables from which 30 features were selected as survivability predictors. The model established based on the LASSO regression algorithm had shown discrimination with an area under curve (AUC) value of 0.690 (95% confidence interval: 0.557-0.823) and good calibration result. DCA demonstrated clinical applicability of the prognostic model when the intervention progressed to the possibility threshold of 2%. An average AUC value of 0.691 was obtained on the validation data. CONCLUSIONS Our results suggest that the proposed model can predict the mortality risk for patients after kidney transplants and could help kidney specialists choose kidney recipients with better prognosis.

The chemokine C-C motif ligand 11, also known as eotaxin-1, has been identified as a novel mediator of inflammatory bone resorption. However, little is known regarding a potential role for CCL11/Eotaxin-1 in postmenopausal osteoporosis.The scope of this study was to explore the relationship between serum CCL11/Eotaxin-1 concentrations and disease progression of postmenopausal females with osteoporosis.A total of 83 postmenopausal women diagnosed with osteoporosis were enrolled. Meanwhile, 82 postmenopausal women with normal bone mineral density (BMD) and 85 healthy controls inner child-bearing age were enrolled as control. The Dual-energy X-ray absorptiometry was used to examine the BMDs at the femoral neck, lumbar spine 1-4 and total hip of all participants. Serum CCL11/Eotaxin-1 levels were examined by enzyme-linked immunosorbent assay. We also included inflammation marker interleukin-6 (IL-6) as well as a serum marker of bone resorption C-telopeptide cross-linked collagen type 1 (CTX-1). The Visual Analogue Scale (VAS) and Oswestry Disability Index (ODI) were recorded to evaluate the clinical severity in POMP females.Serum CCL11/Eotaxin-1 levels were significantly elevated in postmenopausal osteoporotic patients PMOP patients compared with PMNOP and healthy controls. We observed a significant negative correlation of serum CCL11/Eotaxin-1 levels with lumbar spine, femoral neck and total hip BMD. Furthermore, serum CCL11/ Eotaxin-1 concentrations were also positively related to the VAS and ODI scores. Last, serum CCL11/ Eotaxin-1 concentrations were positively associated with IL-6 and CTX-1 levels. These correlations remain significant after adjusting for age and BMI. Multivariate linear regression analysis demonstrated that CCL11/Eotaxin-1 could serve as an independent marker.Serum CCL 11/Eotaxin-1 may serve as a candidate biomarker for postmenopausal osteoporosis. Therapeutics targeting CCL11/Eotaxin-1 and its related signalling way to prevent and slow progression of PMOP deserve further study.Hemokin (C-C motiv) ligand 11, poznat i pod nazivom eotaksin-1, identifikovan je kao novi posrednik zapaljenske resorpcije kostiju. Međutim, malo se zna o potencijalnoj ulozi CCL11/Eotaksin-1 u postmenopauzalnoj osteoporozi.Cilj Cilj ove studije bio je istraživanje odnosa između serumskih koncentracija CCL11/Eotaksin-1 i progresije bolesti osteoporoze kod žena u postmenopauzi.U istraživanju su ukupno učestvovale 83 žene sa dijagnozom osteoporoze u postmenopauzi. U međuvremenu su u studiju uključene 82 žene u postmenopauzi sa normalnom mineralnom gustinom kostiju (BMD) i 85 zdravih žena sposobnih za rađanje kao kontrolna grupa. Za ispitivanje BMD-a na vratu femura, lumbalne kičme 1–4 i celog kuka svih učesnica korišćena je dvoenergentska rentgenska apsorpciometrija. Serumske koncentracije CCL11/Eotakisn-1 su ispitane pomoću enzimski vezanih imunosorbentnih testova. Takođe smo uključili i inflamatorni marker interleukin-6 (IL-6), kao i serumski marker koštane resorpcije C-telopeptidnog ukrštenog kolagena tipa 1 (CTKS-1). Zabeleženi su rezultati na Vizuelnoanalognoj skali (VAS) kao i Oswestry indeks invalidnosti (ODI) za procenu ozbiljnosti kliničke slike kod žena sa postmenopauzalnom osteoporozom.Serumski CCL11/Eotaksin-1 nivoi su bili značajno povišeni kod pacijenata sa postmenopauzalnom osteoporozom (PMOP) u poređenju sa PMNOP i zdravom kontrolnom grupom. Posmatrali smo značajnu negativnu korelaciju serumskih nivoa CCL11/Eotaksin-1 sa BMD-omlumbalne kičme, vratom femura i celog kuka. Pored toga, serumska koncentracija CCL11/Eotaksin-1 takođe je pozitivno povezana sa rezultatima VAS i ODI. Poslednje, serumska koncentracija CCL11/ Eotaksin-1 je bila pozitivno povezana sa nivoima IL-6 i CTKS-1. Ove korelacije i dalje ostaju značajne nakon usklađivanja sa godinama i BMI. Multivarijantna linearna regresiona analiza pokazala je da CCL11/Eotaksin-1 može poslužiti kao nezavisni marker.Serumski CCL 11/Eotaksin-1 može poslužiti kao kandidat za biomarker za postmenopauzalna osteoporozu. Terapija koja targetira CCL11/Eotaksin-1 i njegov signalni put u cilju sprečavanja i usporavanja progresije PMOP-a zaslužuje dalja istraživanja.

Objective The aim of the present study was to determine how many sentinel lymph nodes (SLNs) are appropriate for predicting non-SLN metastasis in breast cancer. Methods The association between clinicopathological features and non-SLN metastasis was retrospectively analyzed in 472 patients who underwent axillary lymph node dissection (ALND) following SLN biopsy. Another 251 patients who underwent only SLN biopsy without ALND were analyzed and followed up for 2 years. Results A large tumor size, positive SLN, and HER-2 positivity were independent predictors of non-SLN metastasis. There were significant differences in non-SLN metastasis between patients with one negative SLN and patients with an absence of negative SLNs. There was no significant difference in non-SLN metastasis between patients with one negative SLN and two or more negative SLNs. The recurrence-free survival rate for patients who did not undergo ALND was 99.6% (245/246). Conclusion Surgeons should ensure that the number of SLNs obtained is appropriate. The presence of one negative SLN is enough in SLN biopsy. Considering the invasiveness of the surgery, two or more negative SLNs may be unnecessary.

BACKGROUND Breast cancer is one of the most common malignancies in women. In a previous study, we found that for two patients who had a high risk of lymphatic metastasis, lymphatic metastasis did not occur; whereas, for two patients who had a low risk of lymphatic metastasis, lymphatic metastasis did occur. MATERIAL AND METHODS We analyzed the differential gene expressions of these four patients by RNA-sequence. The data (HRNM_T versus HRNM_N, LRYM_T versus LRYM_N, and HRNM_T versus LRYM_T) was then processed using differentially expressed genes (DEGs) analysis, functional analysis for DEGs, and PPI network construct. RESULTS For HRNM_T versus HRNM_N, there were 224 DEGs. There were 504 DEGs for LRYM_T versus LRYM_N, and 88 DEGs for LRYM_T versus LRYM_N. For HRNM_T versus HRNM_N, DEGs were up-regulated mainly in the cell cycle, the IL-17 signaling pathway, and the progesterone-mediated oocyte maturation; DEGs were down-regulated mainly in the IL-17 signaling pathway. For LRYM_T versus LRYM_N, DEGs were up-regulated mainly in protein digestion and absorption, and cytokine-cytokine receptor interaction; DEGs were down-regulated mainly in ECM-receptor interaction. For HRNM_T versus LRYM_T, DEGs were up-regulated mainly in the PPAR signaling pathway; DEGs were downregulated mainly in the adipocytokine signaling pathway. The DEGs were screened to construct PPI networks. CONCLUSIONS The GO and KEGG functional enrichments of HRNM_T versus HRNM_N, and LRYM_T versus LRYM_N were consistent with earlier studies. For HRNM_T versus LRYM_T, DEGs were up-regulated mainly in PPAR signaling; DEGs were down-regulated mainly in the adipocytokine pathway.

Background: The neuropeptide vasoactive intestinal peptide (VIP) has been identified as inhibiting osteoclastogenesis and suppressing inflammation. Objective: This study was conducted to examine serum VIP levels in postmenopausal osteoporosis (PMOP) patients and explore the correlation of serum VIP levels with disease severity of PMOP. Methods: A total of 106 postmenopausal women diagnosed as osteoporotic were enrolled in the study and 102 postmenopausal women with normal bone mineral density (BMD) were enrolled as controls. BMD at the femoral neck (FN), lumbar spine 1-4, and total hip were examined using dual-energy X-ray absorptiometry. Genant semiquantitative grading was used for vertebral morphometry and fracture. Serum VIP levels were tested using enzyme-linked immunosorbent assay. Serum inflammatory factor interleukin-1β (IL-1β), osteoclastic activity marker tartrate-resistant acid phosphatase 5b (TRACP-5b), and estrogen-2 (E2) were also examined. Receiver operating characteristic (ROC) analyses was performed to determine the diagnostic values of serum VIP, IL-1β, TRCAP-5, and E2 with regard to Genant grade. Results: Our findings demonstrated a reduction in the serum level of VIP expressed in PMOP patients compared with controls. In the PMOP group, patients with lumbar fracture had significantly lower serum VIP concentrations in comparison with healthy controls. Serum VIP concentrations were positively associated with BMD at the FN, lumbar spine 1-4, and total hip. We also observed that serum VIP levels were positively correlated with E2 levels but negatively correlated with IL-1β and TRCAP-5 levels. In addition, ROC analysis found that reduction of serum VIP in combination with elevation of TRACP-5b may serve as an indicator of a severe Genant grade. Conclusions: Attenuated serum VIP levels were linked to disease severity of PMOP and may act as a protective marker for PMOP.

Previous studies have reported that vitexins induce cytotoxic effects. In the present study, we investigate a new native lignan vitexin 6 (VB6) in vitro to determine the molecular mechanism underlying its cytotoxicity. We screened and cultured several tumor cell lines and subsequently analyzed VB6 cytotoxicity against 14 different tumor cell lines using a 3-(4,5-dimethythiazol-2-yl)-2,5-diphenyl tetrazolium bromide assay. The expression of proteins that regulate apoptosis and autophagy was determined using western blot analysis. VB6 showed an excellent cytotoxic effect against various cancer cell lines in vitro. It induced apoptosis and autophagy of cancer cells. VB6-induced apoptosis showed a time-dependent and concentration-dependent relationship with cleaved poly (ADP-ribose) polymerase, cleaved caspase-3, Bax upregulation, and Bcl-2 downregulation. The levels of Beclin-1 and LC3-II, which are markers for cell autophagy, gradually increased after VB6 treatment. Jun N-terminal kinase (JNK) phosphorylation was increased after VB6 treatment, accompanied by upregulation of P-Bcl-2 and P-C-Jun expression. Cotreatment with a JNK inhibitor significantly decreased VB6-induced cell death and downregulated P-Bcl-2, and cleaved PARP and Beclin-1 expression. The new native lignan VB6 inhibits cancer cell proliferation by activating the JNK pathway. We believe that VB6 could be a valuable chemotherapeutic drug after further evaluation.

Glycoprotein hormone receptors contain large extracellular domains encoded by multiple exons that can be alternatively spliced. Using human ovarian surface epithelium, we cloned two new splice variants of the human follicle-stimulating hormone receptor (FSH-R) gene, hFSH-R2 and hFSH-R3. The hFSH-R2 splice variant differed from the full-length FSH-R mRNA by the deletion of exon 10 and inclusion of two small exons after exon 9 whereas the hFSH-R3 splice variant retained only exons 1-6 of the full-length transcript. Both variants were expressed at low levels, but were detected in cells from follicular fluid derived from 30 different subjects. Transfection of these two variants individually into KGN cells, an ovarian cancer cell line that expresses wild-type FSH-R, reduced FSH-mediated phosphorylation of ERK(1/2), Akt, and p38/MAPK. Furthermore, in vitro co-expression of either hFSH-R2 or hFSH-R3 and full-length FSH-R in HEK293T cells reduced signal transduction through full-length FSH-R. Further studies are needed to fully elucidate the functions of these receptor isoforms.

ObjectiveWe aimed to examine the association between in vitro fertilization (IVF) and risk of cancers through conducting a meta-analysis of cohort studies.MethodsRelevant studies were identified by using PubMed, ISI Web of knowledge, and Scopus through March 2012. Reference lists from retrieved articles were also reviewed. We included historical cohort studies that reported relative risks (RRs) with 95% confidence intervals (CIs) for the association between IVF and cancer risk. Both fixed- and random-effects models were used to calculate the summary risk estimates.ResultsEight cohort studies involving 746,455 participants were included in this meta-analysis. The overall combined RRs for women with IVF treatment were 0.99 (95% CI, 0.74–1.32) for all-site cancer, 1.59 (95% CI, 1.24–2.03) for ovarian cancer, 0.89 (95% CI, 0.79–1.01) for breast cancer, and 1.07 (95% CI, 0.45–2.55) for cervical cancer. A beneficial effect was shown in the subgroup of breast cancer meta-analysis compared with women who gave birth (RR, 0.79; 95% CI, 0.65–0.95). Excess risk of ovarian cancer was still observed when analyses were restricted to studies with less than 8 years of follow-up (RR, 2.35; 95% CI, 1.03–5.37) and studies including cancer cases diagnosed within 1 year of the IVF treatment (RR, 1.71; 95% CI, 1.22–2.40). No evidence of substantial publication bias was observed.ConclusionsThis meta-analysis suggests that there is no significant association between IVF and cancer risk. A possible beneficial effect was shown in the subgroup of breast cancer meta-analysis. Excess risk of ovarian cancer was observed in the analysis of all the studies and subgroups. Special attention should be made to women who may be diagnosed with cancer during or shortly after IVF treatment. Studies of high methodological quality with larger population and longer follow-up are required to provide more evidences for a better understanding of the association.

The chemokine (C-X3-C motif) ligand 1 (CX3CL1), also called fractalkine (FKN), has recently been reported to be involved in osteoclastogenic process and pathological bone destruction.This study aimed to investigate the link between serum CX3CL1/FKN levels with disease progression of postmenopausal osteoporotic patients.A total of 53 women with postmenopausal osteoporosis (PMOP group), 51 postmenopausal non-osteoporotic female patients (PMNOP group) and 50 premenopausal non-osteoporotic healthy women of childbearing age (control group) were enrolled in the study. The bone mineral density (BMD) for all subjects was determined via dual-energy X-ray absorptiometry of the lumbar spine, femoral neck, internal trochanter, total hip, greater trochanter and Ward's triangle. The levels of FKN in the serum were examined using the enzyme-linked immunosorbent assay method. The serum bone resorption markers TRACP-5b, NTX levels, inflammation markers IL-1β and IL-6 as well as oestrogen-2(E2) were also detected in all participants. The visual analogue scores (VAS) and Oswestry Disability Index (ODI) for low back pain were recorded in PMOP females for evaluation of osteoporotic pain and function.FKN levels were significantly higher in postmenopausal osteoporotic patients compared with postmenopausal non-osteoporotic females (139.8 ± 44.3 pg/mL VS 116.5 ± 23.1 pg/mL, p 0.05) and healthy controls (139.8 ± 44.3 pg/mL VS 109.7 ± 19.4 pg/mL, p 0.05). Serum FKN concentrations were negatively associated with BMD at femoral neck (r = -0.394, p = 0.004), total hip(r = -0.374, p = 0.006), internal trochanter(r = -0.340, p = 0.013), greater trochanter(r = -0.376, p = 0.006), Ward's triangle(r = -0.343, p = 0.012), L1-L4 lumbar spine(r = -0.339, p = 0.013) and positively associated with VAS (r = 0.321, p = 0.019) and ODI (r = 0.377, p = 0.005) scores, bone turnover makers (TRACP-5b:r = 0.341, p = 0.012; NTX:r = 0.364, p = 0.007)as well as inflammation markers (IL-1β: r = 0.396, p = 0.003; IL-6:r = 0.355, p = 0.009) in postmenopausal osteoporotic patients.Serum FKN may serve as a novel biomarker for assessing disease progression and a new potential therapeutic target for anti-resorptive treatment in osteoporosis patients.

Background Diagnosing breast cancer during the early stage may be helpful for decreasing cancer-related mortality. In Western developed countries, mammographies have been the gold standard for breast cancer detection. However, Chinese women usually have denser and smaller-sized breasts compared to Caucasian women, which decreases the diagnostic accuracy of mammography. However, breast specific gamma imaging, a type of molecular functional breast imaging, has been used for the accurate diagnosis of breast cancer and is not influenced by breast density. Our objective was to analyze the breast specific gamma imaging (BSGI) diagnostic value for Chinese women. Methods During a 2-year period, 357 women were diagnosed and treated at our oncology department and received BSGI in addition to mammography (MMG), ultrasound (US) and magnetic resonance imaging (MRI) for diagnostic assessment. We investigated the sensitivity and specificity of each method of detection and compared the biological profiles of the four imaging methods. Results A total of 357 women received a final surgical pathology diagnosis, with 168 malignant diseases (58.5 %) and 119 benign diseases (41.5 %). Of these, 166 underwent the four imaging tests preoperatively. The sensitivity of BSGI was 80.35 and 82.14 % by US, 75.6 % by MMG, and 94.06 % by MRI. Furthermore, the breast cancer diagnosis specificity of BSGI was high (83.19 % vs. 77.31 % vs. 66.39 % vs. 67.69 %, respectively). The BSGI diagnostic sensitivity for mammographic breast density in women was superior to mammography and more sensitive for non-luminal A subtypes (luminal A vs. non-luminal A, 68.63 % vs. 88.30 %). Conclusions BSGI may help improve the ability to diagnose early stage breast cancer for Chinese women, particularly for ductal carcinoma in situ (DCIS), mammographic breast density and non-luminal A breast cancer.

The hourly values of the ionospheric F2 layer critical frequency, foF2, recorded at Wakkanai ionosonde station (45.4°N, 141.7°E) have been collected to construct a middle-latitude single-station model for forecasting foF2 under geomagnetic quiet and disturbed conditions. The module for the geomagnetic quiet conditions incorporates local time, seasonal, and solar variability of climatological foF2 and its upper and lower quartiles. It is the first attempt to predict the upper and lower quartiles of foF2 to account for the notable day-to-day variability in ionospheric foF2. The validation statistically verifies that the model captures the climatological variations of foF2 with higher accuracy than IRI does. The storm-time module is built to capture the geomagnetic storm induced relative deviations of foF2 from the quiet time references. In the geomagnetically disturbed module, the storm-induced deviations are described by diurnal and semidiurnal waves, which are modulated by a modified magnetic activity index, the Kf index, reflecting the delayed responses of foF2 to geomagnetic activity forcing. The coefficients of the model in each month are determined by fitting the model formula to the observation in a least-squares way. We provide two options for the geomagnetic disturbed module, including or not including Kalman filter algorithm. The Kalman filter algorithm is introduced to optimize these coefficients in real time. Our results demonstrate that the introduction of the Kalman filter algorithm in the storm time module is promising for improving the accuracy of predication. In addition, comparisons indicate that the IRI model prediction of the F2 layer can be improved to provide better performances over this region.

The Yangtze Delta is one of the most developed regions in China and includes Shanghai, eight cities in Jiangsu province and eight cities in Zhejiang province. Meat consumption in this region has increased with economic growth, and most of the consumed meat is produced locally. The water quality of surface waters has deteriorated in recent years. An example was the huge blue-green algae bloom in Tai Lake in late May 2007, which affected millions of people’s daily drinking water. However, animal husbandry is considered to be one of the main pollution sources. Pollutants (NH3-N, total phosphorus (TP), and total nitrogen (TN)) excreted by livestock and poultry, and the resultant COD (chemical oxygen demand) and BOD (biochemical oxygen demand), were estimated using two different methods based on different data sets. The number of livestock and poultry has remained stable in the Yangtze Delta over the four years from 1999 to 2002, with the average number of pigs, cattle, sheep and poultry being 21.1 M, 0.4 M, 7.7 M and 597.6 M, respectively. Pollutants in livestock and poultry excreta estimated by Method I were: 0.12 Mt NHin-N, 0.11 Mt TP and 0.29 Mt TN, resulting in COD and BOD of 1.34 Mt and 1.30 Mt, respectively, while the estimations based on Method II were: 0.18 Mt NH3-N, 0.15 Mt TP and 0.40 Mt TN, resulting in COD and BOD of 1.95 Mt and 1.80 Mt, respectively. Pollutants excreted annually by livestock and poultry in the Yangtze Delta are estimated to be: 0.17 Mt NH3-N, 0.16 Mt TP and 0.42 Mt TN, giving rise to a COD of 1.86 Mt and a BOD of 1.72 Mt. Approximately 25% of this pollution was estimated to enter water bodies, which means that the annual pollutant load is 43,700 t NH3-N, 39,400 t TP, 104,600 t TN with a COD of 465,000 t and a BOD of 430,100 t. Pollutants from animal husbandry were similar in magnitude to those from industrial wastewater. Pigs produced the most pollution, followed by poultry, cattle and sheep. The pollution load from animal husbandry in the Yangtze Delta is about twice the average level of the whole of China. Domestic wastewater was the main pollution source in the Yangtze Delta, followed by pollution from raising livestock and poultry and from industrial wastewater. The pollution load in Shanghai and Jiaxing were the greatest, followed by 7 cities of Jiangsu province (except Suzhou) and other cities of Zhejiang province and Suzhou. Pigs and poultry produced about 90% of the total pollutants from animal husbandry. The local governments, especially in Shanghai and Jiaxing, should focus their attention on the pollution produced by livestock and poultry. Controlling pollution from pigs and poultry will have the greatest impact in this region. Control of pollution will be facilitated by the development of large-scale livestock and poultry farming units and a shift away from small scale husbandry.

Accumulating evidence suggests that aquaporins (AQPs) may facilitate tumor development. The molecular pathways connecting the pathological functions of AQPs are unclear and need to be better defined. This study aimed to investigate whether AQP3, one of the AQPs expressed highly in breast cancer, had any clinical implication in estrogen-receptor (ER) positive breast cancer and explore the regulatory mechanisms of AQP3 in estrogen-related breast cancer progression. Here we show that AQP3 is an important enforcer of migration and invasion in breast cancer. We, for the first time, reported that ER-positive breast cancer tissues obtained from premenopausal patients had higher AQP3 expression when compared to those obtained from postmenopausal patients. Estrogen directly upregulates AQP3 by activating ERE in the promoter of the AQP3 gene. The upregulation of AQP3 can influence the expression of molecules related to epithelial-mesenchymal transition and the reorganization of actin-cytoskeleton, resulting in enhancement of cell migration and invasion in ER-positive breast cancer cells.

To investigate the risk factors on female breast cancer in Zhejiang province.A case-control study was conducted in 200 cases of female breast cancer with histopathological diagnosis and 200 matched controls from Zhejiang province.Univariate conditional logistic regression showed that family history of malignant tumor and breast cancer, housing decoration in last 10 years, mammary hyperplasia, adverse life events, bra with steel rings, sleeping with bra, high fat and pickle intake, poor sleep were positively related to breast cancer; whereas environmental friendly decoration materials, long decoration time interval, workplace condition, more lactation and parity, high fruits intake, sufficient sleep were negatively related to breast cancer. Multivariate conditional logistic regression analysis showed that the risk factors included family history of other tumors [odds ratio (OR)= 1.571,95% confidence interval(CI):1.029-2.396],mammary hyperplasia (OR=3.066,95%CI:1.834-5.126), job-related life events (OR=4.575,95%CI:1.690-12.390),the death of a loved one (OR=2.555,95%CI:1.475-4.424), wearing bra at night (OR=1.902,95%CI:1.177-3.072),high fat intake (OR=2.709,95%CI:1.546-4.749) and salted food (OR=2.460,95%CI:1.300-4.653). Factors as environmental friendly decoration materials (OR=0.517,95%CI:0.339-0.789),workplaces condition (OR=0.430,95%CI:0.243-0.762),more lactation (OR=0.109,95%CI:0.013-0.896),enough sleep (OR=0.424,95%CI:0.205-0.880) were protective factors.Hereditary,psychological factors,lifestyle,environment and diet related factors are significantly associated with risk of breast cancer.

To investigate the effect of Evn-50 extracted from Vitex negundo on human breast cancer cell line MCF-7 and MCF-7/TAM-R cells in vitro.MCF-7 and tamoxifen-resistant MCF-7/TAM-R cells were treated with Evn-50,tamoxifen or combination of Evn-50 and tamoxifen. Cell proliferation inhibition rates were determined by MTT assay. The apoptosis rate and the change of cell cycle were detected by PI staining flow cytometry. Protein expression of phospho-MAPK 44/42 (Thr202/Tyr204),MAPK P44/42, phospho-AKT (Ser473) and AKT were detected with Western blotting.The viability of MCF-7 cells was decreased in combination group [(28.65 ±11.43)%] and Evn-50 group [(53.02 ±15.14)%] compared with TAM group (P0.01). The cell viability of MCF-7/TAM-R in combination group [(42.11 ±14.30)%] was significantly lower than that in TAM group [(92.18 ±13.16)%] (P0.01). The cell apoptosis rate was dependent on the time of treatment in all groups,the effects on apoptosis and G2/M phase cells were most prominent at 72 h (P0.01). Western blotting revealed that protein levels of phosphorylated AKT and p-MAPK44/42 decreased,while the expression of total AKT and MAPK44/42 was stable. In MCF-7/TAM-R cells,the expression of phosphorylation of AKT and MAPK44/42 protein was not changed in Evn-50 or TAM alone group,but significantly inhibited in the combination group at 72 h.Evn-50 can inhibit cell growth and induce apoptosis in MCF-7 and MCF-7/TAM-R cells,it can reverse tamoxifen-resistance of MCF-7/TAM-R cells.The mechanisms may be related to the down-regulation of phosphorylated ERK1/2 in MAPK signal pathway and phosphorylated AKT in AKT signal pathway.

To develop a bioinformatic tool and to use it to identify proteomic patterns in serum, distinguishing colorectal cancer from colorectal adenoma and healthy individuals.182 serum samples including 55 colorectal cancer patients, 35 colorectal adenoma and 92 healthy individuals were subjected to analysis by surface-enhanced laser desorption/ionization (SELDI) mass spectrometry.The diagnostic pattern combined of 4 candidate biomarkers (M/Z 5911, 8922, 8 944, and 8817) could separate colorectal patients from healthy control with a specificity of 93.3%, sensitivity of 90.9%, and Youden index value of 0.84242. The diagnostic pattern combined of 7 candidate biomarkers (M/Z 17247, 18420 ,5911, 9294, 4654, 21694, and 21742) could separate colorectal cancer patients from colorectal adenoma patients with a specificity of 83.2%, sensitivity of 89.3%, and Youden index value of 0.72484.Combination of SELDI with bioinformatics tool can identify some new biomarkers from the sera of colorectal cancer patients, which has a high sensitivity and specificity to distinguish colorectal cancer patients from healthy control.

Background Although gastric caner (GC) remains the second cause of cancer-related death, useful biomarkers for prognosis are still unavailable. We present here the attempt of mining novel biomarkers for GC prognosis by using serum proteomics. Methods Sera from 43 GC patients and 41 controls with gastritis as Group 1 and 11 GC patients as Group 2 was successively detected by Surface Enhanced Laser Desorption/ionization Time of Flight Mass Spectrometry (SELDI-TOF-MS) with Q10 chip. Peaks were acquired by Ciphergen ProteinChip Software 3.2.0 and analyzed by Zhejiang University-ProteinChip Data Analysis System (ZJU-PDAS). CEA level were evaluated by chemiluminescence immunoassay. Results After median follow-up periods of 33 months, Group 1 with 4 GC patients lost was divided into 20 good-prognosis GC patients (overall survival more than 24 months) and 19 poor-prognosis GC patients (no more than 24 months). The established prognosis pattern consisted of 5 novel prognosis biomarkers with 84.2% sensitivity and 85.0% specificity, which were significantly higher than those of carcinoembryonic antigen (CEA) and TNM stage. We also tested prognosis pattern blindly in Group 2 with 66.7% sensitivity and 80.0% specificity. Moreover, we found that 4474-Da peak elevated significantly in GC and was associated with advanced stage (III+IV) and short survival (p < 0.03). Conclusion We have identified a number of novel biomarkers for prognosis prediction of GC by using SELDI-TOF-MS combined with sophisticated bioinformatics. Particularly, elevated expression of 4474-Da peak showed very promising to be developed into a novel biomarker associated with biologically aggressive features of GC.

To detect the serum proteomic patterns by using SELDI-TOF-MS and CM10 ProteinChip techniques in colorectal cancer (CRC) patients, and to evaluate the significance of the proteomic patterns in colorectal cancer staging.A total of 76 serum samples were obtained from CRC patients at different clinical stages, including Dukes A (n = 10), Dukes B (n = 19), Dukes C (n = 16) and Dukes D (n = 31). Different stage models were developed and validated by bioinformatics methods of support vector machines, discriminant analysis and time-sequence analysis.The model I formed by six proteins of peaks at m/z 2759.6, 2964.7, 2048.0, 4795.9, 4139.8 and 37 761.6 could do the best as potential biomarkers to distinguish local CRC patients (Dukes A and Dukes B) from regional CRC patients (Dukes C ) with an accuracy of 86.7%. The model II formed by 3 proteins of peaks at m/z 6885.3, 2058.3 and 8567.8 could do the best to distinguish locoregional CRC patients (Dukes A, B and C) from systematic CRC patients (Dukes D) with an accuracy of 75.0%. The mode III could distinguish Dukes A from Dukes B with an accuracy of 86.2% (25/29). The model IV could distinguish Dukes A from Dukes C with an accuracy of 84.6% (22/26). The model V could distinguish Dukes B from Dukes C with an accuracy of 85.7% (30/35). The model VI could distinguish Dukes B from Dukes D with an accuracy of 80.0% (40/50). The model VII could distinguish Dukes C from Dukes D with an accuracy of 78.7% (37/47). Different stage groups could be distinguished by the two-dimensional scattered spots figure obviously.Our findings indicate that this method can well be used in preoperative staging of colorectal cancers and the screened tumor markers may serve for guidance of integrating treatment of colorectal cancers.

To explore the application of serum protein pattern models in diagnosis of colorectal cancer (CRC) by proteinchip technology.One hundred and forty-seven serum samples (55 CRC patients and 92 healthy individuals) randomly divided into training set (n = 87, 32 CRC patients and 55 healthy individuals) and test set (n = 60), were subjected for analysis by surface enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS). Four top-scored peaks in 5910, 8930, 4476 and 8817 were detected by proteinchip software version 3.0. and were trained by a multi-layer artificial neural network (ANN) with a back propagation algorithm. An artificial neural network classifier had developed for separating CRC from the healthy group. The classifier was then challenged with the test set (60 samples including 23 CRC patients and 37 healthy individuals) to determine the validity and accuracy of the classification system.The artificial neural network classifier separated the CRC from the healthy samples, with sensitivity of 82.6% and specificity of 91.9%.Combination of SELDI-TOF-MS with the artificial neural network yields significant higher sensitivity and specificity than CEA in the diagnosis of CRC, which should be further studied.