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Block of proliferation 1 (BOP1) is a key protein involved in ribosome maturation and affects cancer progression. However, its role in gastric cancer (GC) remains unknown. This study aimed to explore the expression of BOP1 in GC and its potential mechanisms in regulating GC growth, and the relationship between BOP1 level in cancer tissues and survival was also analyzed. The expression of BOP1 was examined by immunohistochemistry (IHC) in a cohort containing 387 patients with primary GC. Cultured GC cells were treated by siRNA to knock down the BOP1 expression, and examined by CCK-8 assay and plate clone formation to assess cell proliferation in vitro. Apoptotic rate of cultured GC cells was detected by flow cytometry with double staining of AnnxinV/PI. The xenografted mouse model was used to assess GC cell proliferation in vivo. Western blot and IHC were also performed to detect the expression levels of BOP1, p53 and p21. Patients with higher level of BOP1 in cancer tissues had significantly poorer survival. BOP1 silencing significantly suppressed GC cell proliferation both in vitro and in vivo. It blocked cell cycle at G0/G1 phase and led to apoptosis of GC cells via upregulating p53 and p21. BOP1 silencing-induced suppression of cell proliferation was partly reversed by pifithrin-α (a p53 inhibitor). Our study demonstrated that BOP1 up-regulation may be a hallmark of GC and it may regulate proliferation of GC cells by activating p53. BOP1 might be considered a novel biomarker of GC proliferation, and could be a potential indicator of prognosis of GC patients. BOP1 might also be a potential target for the treatment of GC patients if further researched.

Accurate, simple and economical methods for quantifying N-glycans are continuously required for discovering disease biomarkers and quality control of biopharmaceuticals. Quantitative N-glycomics based on MS using exogenous isotopic labeling internal standards is promising as it is simple and accurate. However, it is largely hampered by the lack of available glycan internal standard libraries with good coverage of the natural glycan structural heterogeneity as well as broad dynamic mass and ion abundance range. To overcome this limitation, we developed a novel method, providing ‘Bionic Glycome’ as internal standards for glycan quantitation by MALDI-MS. Bionic Glycome was produced using N-glycome from pooled samples to be analyzed as substrate by one step of glycan reducing and isotope labeling (Glycan-RAIL). Each bionic glycan has 3 Da mass increment over its corresponding glycan analyte based on hemiacetals/alditols and H/D mass difference. In addition, Bionic Glycome has the same glycome composition and similar glycome profile in abundance with N-glycome to be analyzed from biological sample. Through the investigation of single glycan standard and complex glycans released from model glycoprotein and serum, the results demonstrate that the method has good quantitative accuracy and high reproducibility. Lastly, this method was successfully used for discovery of lung cancer specific glycan markers by comparing the serum glycans from each sample in lung cancer group (n = 16) and healthy controls (n = 16), indicating its potential in clinical applications.

Background: Peritoneal metastasis, associated with poor prognosis in gastric cancer, is difficult to discriminate from advanced gastric cancer preoperatively. However, operative diagnosis could bring both mental and physical trauma and economic burden for patients. Consequently, a non-invasive biomarker is necessary to reduce the burden of operative diagnosis and improve survival quality of patients. This study aims to elucidate the correlation between Immunoglobulin G (IgG) N-glycome and peritoneal metastasis and find potential biomarkers in preoperative discrimination of peritoneal metastasis from advanced gastric cancer based on the comprehensive sample set. Methods: A total of 373 gastric cancer patients were enrolled and randomly sorted into training cohort (n=249) and validation cohort (n=124). The IgG N-glycome composition was analyzed by ultra-performance liquid chromatography. Results: Twenty-four glycan peaks were directly detected and 15 traits based on the same structures were evaluated between peritoneal metastasis group and advanced gastric cancer group. Several differences in IgG glycosylation were found: sialylation and fucosylation were increased in peritoneal metastasis, while neutral glycosylation, monogalacosylation and bisecting GlcNAc were decreased. Based on the significant glycomics profile, a glyco-model composed of five glycan peaks (GP6, GP9, GP11, GP21 and GP23) was established with area under the receiver operating characteristic curve (AUC) value of 0.80 (training cohort) and 0.77 (validation cohort), which showed good potential in discriminating peritoneal metastasis from advanced gastric cancer. The diagnostic performance of this model was further validated in a combined cohort (AUC=0.79). Two patients with gastric cancer were selected to perform and demonstrate the usage of the diagnostic workflow. Conclusions: Here we firstly present IgG glycome profiles in a large number of preoperative peritoneal metastasis serums. The IgG glycan was highly associated with peritoneal metastasis. These findings enhance the understanding of peritoneal metastasis. Besides, our results suggested that the newly established glyco-model could be a reliable predictor of the presence of peritoneal metastasis in patients with advanced gastric cancer.

Background Peritoneal metastasis (PM) in gastric cancer (GC) remains an untreatable disease, and is difficult to diagnose preoperatively. Here, we aim to establish a novel prediction model. Methods The clinicopathologic characteristics of a cohort that included 86 non-metastatic GC patients and 43 PMGC patients from Zhongshan Hospital were retrospectively analysed to identify PM associated variables. Additionally, mass spectrometry and glycomic analysis were applied in the same cohort to find glycomic biomarkers in serum for the diagnosis of PM. A nomogram was established based on the associations between potential risk variables and PM. Results Overexpression of 4 N-glycans (H6N5L1E1: m/z 2620.93; H5N5F1E2: m/z 2650.98; H6N5E2, m/z 2666.96; H6N5L1E2, m/z 2940.08); weight loss ≥ 5 kg; tumour size ≥ 3 cm; signet ring cell or mucinous adenocarcinoma histology type; poor differentiation; diffuse or mixed Lauren classification; increased CA19-9, CA125, and CA724 levels; decreased lymphocyte count, haemoglobin, albumin, and pre-albumin levels were identified to be associated with PM. A nomogram that integrated with five independent risk factors (weight loss ≥ 5 kg, CA19-9 ≥ 37 U/mL, CA125 ≥ 35 U/mL, lymphocyte count Conclusions The nomogram achieved an individualized assessment of the risk of PM in GC patients; thus, the nomogram could be used to assist clinical decision-making before surgery.

Background Neoadjuvant chemotherapy (NACT) could improve prognosis and survival quality of patients with local advanced gastric cancer (LAGC) by providing an opportunity of radical operation for them. However, no effective method could predict the efficacy of NACT before surgery to avoid the potential toxicity, time-consuming and economic burden of ineffective chemotherapy. Some research has been investigated about the correlation between serum IgG glycosylation and gastric cancer, but the question of whether IgG glycome can reflect the tumor response to NACT is still unanswered. Method Serum IgG glycome profiles were analyzed by Ultra Performance Liquid Chromatography in a cohort comprised of 49 LAGC patients of which 25 were categorized as belonging to the NACT response group and 24 patients were assigned to the non-response group. A logistic regression model was constructed to predict the response rate incorporating clinical features and differential N-glycans, while the precision of model was assessed by receiver operating characteristic (ROC) analysis. Results IgG N-glycome analysis in pretreatment serum of LAGC patients comprises 24 directly detected glycans and 17 summarized traits. Compared with IgG glycans of non-response group, agalactosylated N-glycans increased while monosialylated N-glycans and digalactosylated N-glycans decreased in the response group. We constructed a model combining patients’ age, histology, chemotherapy regimen, GP4(H3N4F1), GP6(H3N5F1), and GP18(H5N4F1S1), and ROC analysis showed this model has an accurate prediction of NACT response (AUC = 0.840) with the sensitivity of 64.00% and the specificity of 100%. Conclusion We here firstly present the profiling of IgG N-glycans in pretreatment serum of LAGC. The alterations in IgG N-glycome may be personalized biomarkers to predict the response to NACT in LAGC and help to illustrate the relationship between immunity and effect of NACT.

Additional file 1: Figure S1. Representative MALDI-TOF spectra of serum N-glycomics profile in gastric cancer. Table S1. Consecutive GC patients treated in Zhongshan Hospital from April 2015 to November 2015. Table S2. Compositions detected by positive reflectron mode MALDI-TOF-MS after ethyl esterification. Table S3. List of the 22 serum N-glycans that were evaluated to be significantly different between non-metastatic GC and PMGC. Table S4. Nomogram point of each variable.

Additional file 1: Table S1. Summarized glycan traits based on the glycan structure. Table S2. IgG glycome composition in gastric cancer patients with response to NACT before and after treatment. Table S3. IgG glycome composition in gastric cancer patients without response to NACT before and after treatment.

Compared with elemental phosphorus, GeP5, with much better thermostability and super higher conductivity, can exhibit a comparable capacity (>2000 mA h g–1) with a much higher first Coulombic efficiency (95%) for lithium-ion batteries. However, such high capacity is accompanied by large volume expansions, leading to fast capacity fading. To improve the cycle stability, fabricating a special nanostructure to reduce the volume stress and compositing with a carbon matrix to buffer the volume change are highly required. However, nanostructured metal phosphides were rarely reported up to now because they are difficult to be synthesized via a normal wet chemistry method or gas phosphorization because of lack of proper reactants and poor thermostability of phosphides. Herein, we successfully achieve uniform carbon-encapsulated GeP5 nanofibers (GeP5@C-NF) by processing GeP5 nanoparticles into carbon nanofibers via electrospinning. After carbon encapsulation, the thermostability of GeP5 can be greatly improved to ...

Current electrode materials for commercial lithium ion batteries (LIBs) suffer from poor low temperature electrochemical performance, which seriously limits their application in winter and cold climate areas. Herein, pure phase LISICON structured Li3V2(PO4)3 (r-LVP) was successfully prepared and investigated for the first time as a low temperature cathode for LIBs. Benefiting from a fast ionic conductive structure and high structural stability, the r-LVP exhibits an outstanding high rate performance in a wide temperature range from 25 °C to −20 °C. Even at −30 °C, a discharge capacity of 90 mA h g−1 at 0.2C can be achieved, corresponding to 80% of the room temperature capacity. After 5000 cycles at a high rate of 10C, 84% of the initial capacity can be retained at −10 °C. Such a high rate capability and long cycle stability promise r-LVP could be a competitive candidate for low temperature LIBs.

Electrospinning is firstly used to one-pot synthesis of Li3VO4@C nanofibers in a large scale. Although with the presence of organic sources in synthesis process, the pure phase Li3VO4 with superior nanofibrous morphology is still successfully obtained through adjusting different heat treatment processes and different vanadium sources. The prepared Li3VO4@C nanofibers exhibit a unique structure in which nanosized Li3VO4 particles are uniformly embedded in amorphous carbon matrix. Compared with Li3VO4/C powder, Li3VO4@C nanofibers display enhanced reversible capacity of 451 mAh g−1 at 40 mA g−1 with an increased initial coulombic efficiency of 82.3%, and the capacity can remain at 394 mAh g−1 after 100 cycles. This superior electrochemical performance can be attributed to its unique structure which ensures a high reactivity by nanosized Li3VO4, more stable electrode/electrolyte interface by carbon encapsulation, improved electronic conductivity and buffered volume changes by flexible carbon matrix. The electrospinning technology provides an effective method to obtain high performance Li3VO4 as a promising anode material for lithium-ion batteries.

Ovarian cancer is the most lethal gynecologic carcinoma; because the tumor often relapses shortly after treatment. Glycosylation plays important roles in cancer drug resistance and could be used as biomarkers to predict the drug response of patients. We used MALDI-QIT-TOF MS to analyze the serum glycomic from patients with different drug responses. Samples were collected before treatment; follow-up visit were performed after 6 months. Forty-eight drug-sensitive patients and 16 drug-resistant patients were enrolled. Compared with drug-sensitive patients, 5 glyco-subclasses and 5 single glycans were significantly altered in drug-resistant patients. Lewis type, α2,3 sialic acid and multibranch glycans were increased, α2,6 sialic acid glycans were decreased. The peak at m/z 2986.44 showed stronger prediction abilities than other single glycans, with an AUC of 0.83. A panel of three increased glycans (m/z 2401.36, H5N4F1S2, a Lewis type biantennary glycan; m/z 2986.44, H6N5S3, a triantennary trisialylated glycan; m/z 3086.39, H6N5F1S3, a Lewis type triantennary glycan) combined with CA125 achieved an AUC value of 0.88, showing a strong discrimination performance. This study provides new insights into N-glycosylation patterns in ovarian cancer patients with different drug response. These altered glycans might serve as biomarkers to reflect patients' drug sensitivity and to guide clinical treatment. Significance A large number of ovarian cancer patients experience tumor relapse shortly after initial treatment. Glycosylation plays important roles in cancer drug resistance and could be used as a biomarker to predict the drug response of patients. However, the glycosylation expressed in patients with different drug response have not been elucidated. In the present study, we used MALDI-QIT-TOF MS to analyze the serum glycomic levels of patients with different drug responses. Several glycans were changed significantly between these two groups. A panel of three increased glycans (m/z 2401.36, a Lewis type biantennary glycan, 2986.44, a triantennary trisialylated glycan, and 3086.39, a Lewis type triantennary glycan) combined with CA125 performed better descrimination of these two groups with AUC of 0.88. These altered glycans might serve as biomarkers to reflect patients' drug sensitivity and to guide clinical treatment.

Distribution of IgG galactosylation as a promising biomarker for cancer screening in multiple cancer types

Background: Neuroblastoma (NB) is the most frequent pediatric malignant neoplasm that originates from embryonic neural crest cells. Urinary catecholamines in 24-h urine are most commonly analyzed for the diagnosis of neuroblastoma at good sensitivity; however, it is challenging to collect 24-h urine samples in a pediatric population. Therefore, development of more rapid, non-invasive and cost-effective tools for the diagnosis of NB remains needed. Serum immunoglobulin G (IgG) galactosylation have been found highly associated with adult cancers in our previous study. Methods: To explore the potential use of serum IgG galactosylation in aiding diagnosis of neuroblastoma, serum IgG galactosylation profiles of 26 neuroblastoma cases and 30 age-matched non-malignant controls were analyzed by MALDI MS. The alteration of IgG galactosylation in neuroblastoma patients was measured by a Gal-ratio formula: G0/(G1+G2×2), calculating the relative intensities of agalactosylated N-glycan (G0) vs mono-galactosyl N-glycan (G1) and digalactosyl N-glycan (G2). Results: The results showed that IgG Gal-ratios were significantly higher in neuroblastoma cases compared with non-malignant controls (p=5.0×10-4). And the Gal-ratio data generated sensitivity and specificity of 84.62% and 60.00%, combined with an AUC (area under the curve) of 0.80. Conclusions: The analysis of serum IgG galactosylation distribution may play a suggestive role for neuroblastoma diagnosis, or serve as a potential biomarker for NB diagnosis.

Background Ovarian cancer is one of the most lethal gynecological malignancies, in which platinum resistance is a common cause of its relapse and death. Glycosylation has been reported to be involved in drug resistance, and glycomic analyses of ovarian cancer may improve our understanding of the mechanisms underlying cancer cell drug resistance and provide potential biomarkers and therapeutic targets. Methods The serous ovarian cancer cell line A2780 and its platinum-resistant counterpart A2780-cp were used in this study. We performed a lectin array analysis to compare the glycosylation patterns of the two cell lines, a gene expression array was employed to probe the differences in glycogenes. Furthermore, the results were verified by lectin blots. Results A2780-cp cell exhibited stronger intensities of Lens culinaris (LCA) Canavalia ensiformis (ConA), and Lycopersicon esculentum (LEL) and weaker intensities of Sambucus nigra (SNA) lectins. The gene expression array analysis revealed increased expression of Fut8, B3gnt4, B3gnt5, B4galt2 and decreased expression of Fut1 and ST6GalNAc 6 expression were evident in the A2780-cp cells. The lectin blot confirmed the differences in LCA, ConA, SNA and LEL between the A2780 and A2780-cp cells. Conclusions The combination of the lectin and gene expression analyses showed that the levels of core fucosylation and poly-LacNAc were increased in the A2780-cp cells and the levels of Fuc α1-2(gal β1-4) GlcNAc and α2-6-linked sialic structures were decreased in the A2780-cp cells. These glycans represent potential biomarkers and might be involved in the mechanism of drug resistance in ovarian cancer. Electronic supplementary material The online version of this article (doi:10.1186/s12014-017-9155-z) contains supplementary material, which is available to authorized users.

Background Ovarian cancer is the most lethal gynecological malignancy due to its frequent recurrence and drug resistance even after successful initial treatment. Accumulating scientific evidence indicates that subpopulations of cancer cells with stem cell-like properties, such as so-called side population (SP) cells, are primarily responsible for these recurrences. A better understanding of SP cells may provide new clues for detecting and targeting these cancer-initiating cells and ultimately help to eradicate cancer. Changes in glycosylation patterns are remarkable features of SP cells. Here, we isolated SP cells from ovarian cancer cell lines and analyzed their glycosylation patterns using multiple glycomic strategies. Methods Six high-grade serous ovarian cancer cell lines were used for SP cell isolation. Among them, HO8910 pm, which contained the highest proportion of SP cells, was used for glycomic analysis of SP cells. Cell lysate of SP cells and main population cells was applied to lectin microarray and mass spectrometry for glycan profiling. Differently expressed glycan structures were further verified by lectin blot, flow cytometry, and real-time PCR analysis of their relevant enzymes. Results Expression of core fucosylated N-glycan and tumor-associated Tn, T and sT antigens were increased in SP cells. By contrast, SP cells exhibited decreased hybrid glycan, α2,3-linked sialic glycan and multivalent sialyl-glycan. Conclusions Glycan structures, such as Tn, T, sT antigens, and core fucosylation may serve as biomarkers of ovarian cancer stem cells. Electronic supplementary material The online version of this article (doi:10.1186/s12014-016-9131-z) contains supplementary material, which is available to authorized users.

Additional file 1. SP cells sorted from ES-2 cells exhibited higher intensity of ABA and VVA. The intensity of ABA (left) and VVA (right) for SP sphere cells after culturing for 1weeks without serum was detected by flow cytometry.