MAD2γ, a novel MAD2 isoform,reduces mitotic arrest and is associated with resistance in testicular germ cell tumors

Background: Prolonged mitotic arrest in response to anti-cancer chemotherapeutics, such as DNA-damaging agents, induces apoptosis, mitotic catastrophe, and senescence. Disruptions in mitotic checkpoints contribute resistance to DNA-damaging agents in cancer. MAD2 has been associated with checkpoint failure and chemotherapy response. In this study, a novel splice variant of MAD2, designated MAD2γ, was identified, and its association with the DNA damage response was investigated.

Methods: Endogenous expression of MAD2γ and full-length MAD2 (MAD2α) was measured using RT-PCR in cancer cell lines, normal foreskin fibroblasts, and tumor samples collected from patients with testicular germ cell tumors (TGCTs). A plasmid expressing MAD2γ was transfected into HCT116 cells, and its intracellular localization and checkpoint function were evaluated according to immunofluorescence and mitotic index.

Results: MAD2γ was expressed in several cancer cell lines and non-cancerous fibroblasts. Ectopically expressed MAD2γ localized to the nucleus and reduced the mitotic index, suggesting checkpoint impairment. In patients with TGCTs, the overexpression of endogenous MAD2γ, but not MAD2α, was associated with resistance to cisplatin-based chemotherapy. Likewise, cisplatin induced the overexpression of endogenous MAD2γ, but not MAD2α, in HCT116 cells.

Conclusions: Overexpression of MAD2γ may play a role in checkpoint disruption and is associated with resistance to cisplatin-based chemotherapy in TGCTs.     

Protein complexes,big data,machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networks

Overview: Elucidation of the networks of physical (functional) interactions present in cells and tissues is fundamental for understanding the molecular organization of biological systems, the mechanistic basis of essential and disease-related processes, and for functional annotation of previously uncharacterized proteins (via guilt-by-association or -correlation). After a decade in the field, we felt it timely to document our own experiences in the systematic analysis of protein interaction networks.

Areas covered: Researchers worldwide have contributed innovative experimental and computational approaches that have driven the rapidly evolving field of ‘functional proteomics’. These include mass spectrometry-based methods to characterize macromolecular complexes on a global-scale and sophisticated data analysis tools – most notably machine learning – that allow for the generation of high-quality protein association maps.

Expert commentary: Here, we recount some key lessons learned, with an emphasis on successful workflows, and challenges, arising from our own and other groups’ ongoing efforts to generate, interpret and report proteome-scale interaction networks in increasingly diverse biological contexts.     

Effect of different concentrations of oxygen on expression of sigma 1 receptor and superoxide dismutases in human colon adenocarcinoma cell lines

Context: Tumor cells due to distance from capillary vessels exist in different oxygenation conditions (anoxia, hypoxia, normoxia). Changes in cell oxygenation lead to reactive oxygen species production and oxidative stress. Sigma 1 receptor (Sig1R) is postulated to be stress responding agent and superoxide dismutases (SOD1 and SOD2) are key antioxidant enzymes. It is possible that they participate in tumor cells adaptation to different concentrations of oxygen.

Objective: Evaluation of Sig1R, SOD1, and SOD2 expression in different concentrations of oxygen (1%, 10%, 21%) in colon adenocarcinoma cell lines.

Materials and methods: SW480 (primary adenocarcinoma) and SW620 (metastatic) cell lines were cultured in standard conditions in Dulbecco’s modified Eagle’s medium for 5 days, and next cultured in Hypoxic Chamber in 1% O₂, 10% O₂, 21% O₂. Number of living cells was determined by trypan blue assay. Level of mRNA for Sig1R, SOD1, and SOD2 was determined by standard PCR method. Statistical analysis was conducted using Statistica 10.1 software.

Results: We observed significant changes in expression of Sig1R, SOD1, SOD2 due to different oxygen concentrations. ANOVA analysis revealed significant interactions between studied parameters mainly in hypoxia conditions in SW480 cells and between Sig1R and SOD2 in SW620 cells. It also showed that changes in expression of studied proteins depend significantly on type of the cell line.

Conclusion: Changes of Sig1R and SOD2 expression point to mitochondria as main organelle responsible for survival of tumor cells exposed to hypoxia or oxidative stress. Studied proteins are involved in intracellular response to stress related with different concentrations of oxygen.     

PPARgamma-mediated ALDH1A3 suppression exerts anti-proliferative effects in lung cancer by inducing lipid peroxidation

Context: The metabolic function of peroxisome proliferator-activated receptor gamma (PPARγ) in lung cancer remains unclear.

Objectives: To determine the relationship of PPARγ on ALDH1A3-induced lipid peroxidation to inhibit lung cancer cell growth.

Materials and methods: In silico analysis using microarray dataset was performed to screen the positive correlation between PPARγ and all ALDH isoforms. NUBIscan software and ChIP assay were used to identify the binding sites (BSs) of PPARγ on ALDH1A3 promoter. The expression of ALDH1A3 under thiazolidinedione (TZD) treatment was evaluated by QPCR and Western Blot in HBEC and H1993 cell lines. Upon treatment of TZD, colony formation assay was used to check cell growth inhibition and 4-hydroxy-2-nonenal (4HNE) production as lipid peroxidation marker was determined by Western Blot in PPARγ positive cell H1993 and PPARγ negative cell H1299.

Results: Compared to other ALDH isoforms, ALDH1A3 showed the highest positive correlation to PPARγ expression. ALDH1A3 upregulated PPARγ expression while PPARγ activation suppressed ALDH1A3. Among 2 potential screened PPARγ response elements, BS 1 and 2 in the promoter of ALDH1A3 gene, PPARγ bound directly to BS2. Ligand activation of PPARγ suppressed mRNA and protein expression of ALDH1A3. Growth inhibition was observed in H1993 (PPARγ positive cell) treated with PPARγ activator and ALDH inhibitor compared to H1299 (PPARγ negative cell). PPARγ activation increased 4HNE which is known to be suppressed by ALDH1A3.

Conclusions: ALDH1A3 suppression could be one of PPARγ tumor suppressive function. This study provides a better understanding of the role of PPARγ in lung cancer.     

Emerging power of proteomics for delineation of intrinsic tumor subtypes and resistance mechanisms to anti-cancer therapies

Introduction: Despite extreme genetic heterogeneity, tumors often show similar alterations in the expression, stability, and activation of proteins important in oncogenic signaling pathways. Thus, classifying tumor samples according to shared proteomic features may help facilitate the identification of cancer subtypes predictive of therapeutic responses and prognostic for patient outcomes. Meanwhile, understanding mechanisms of intrinsic and acquired resistance to anti-cancer therapies at the protein level may prove crucial to devising reversal strategies.

Areas covered: Herein, we review recent advances in quantitative proteomic technology and their applications in studies to identify intrinsic tumor subtypes of various tumors, to illuminate mechanistic aspects of pharmacological and oncogenic adaptations, and to highlight interaction targets for anti-cancer compounds and cancer-addicted proteins.

Expert commentary: Quantitative proteomic technologies are being successfully employed to classify tumor samples into distinct intrinsic subtypes, to improve existing DNA/RNA based classification methods, and to evaluate the activation status of key signaling pathways.     

Beta-2-glycoprotein-1 and alpha-1-antitrypsin as urinary markers of renal cancer in von Hippel–Lindau patients

Context: Von Hippel–Lindau disease (VHLD) is a rare inherited neoplastic syndrome. Among all the VHLD-associated tumors, clear cell renal cell carcinoma (ccRCC) is the major cause of death.

Objective: The aim of this paper is the discovery of new non-invasive biomarker for the monitoring of VHLD patients.

Materials and methods: We compared the urinary proteome of VHLD patients, ccRCC patients and healthy volunteers.

Results: Among all differentially expressed proteins, alpha-1-antitrypsin (A1AT) and APOH (beta-2-glycoprotein-1) are strongly over-abundant only in the urine of VHLD patients with a history of ccRCC.

Discussion and conclusion: A1AT and APOH could be promising non-invasive biomarkers.     

Similarities in mRNA expression of peripheral blood drug metabolizing enzymes and cancer marker genes with biopsy samples of head and neck cancer patients

Purpose: To develop peripheral blood mRNA expression profiles of drug metabolizing enzymes (DMEs) as a surrogate to monitor tobacco induced head and neck squamous cell carcinoma (HNSCC), attempts were made to investigate (i) similarities in alterations with the cancer marker genes in biopsy samples and (ii) if alterations similar to that seen in biopsy samples are reflected in peripheral blood.

Methods: Total RNA from eight soft gingival tissues and eight biopsy samples of HNSCC patients and total DNA and RNA from blood of healthy controls (n?=?150) and HNSCC patients (n?=?150) was processed for expression and genotyping studies. Blood from patients receiving chemo-radiotherapy was processed for follow-up study.

Results: qRT-PCR revealed significant increase in mRNA expression of DMEs in biopsy and blood samples of HNSCC patients when compared to controls. Similar alterations were observed in cancer marker genes in these samples. Patients with variant genotypes of DMEs showed greater magnitude of alterations in mRNA expression when compared to wild type controls. Responders of chemo-radiotherapy showed significant decline in induction of mRNA expression of DMEs and cancer marker genes

Conclusions: The data suggest that peripheral blood expression profiles could be used to monitor tobacco-induced HNSCC as well as the treatment response.     

C-Phycocyanin elicited antitumor efficacy via cell-cycle arrest,apoptosis induction,and invasion inhibition in esophageal squamous cell carcinoma

Objectives: Mounting evidence has demonstrated that C-Phycocyanin (C-PC) exhibits marked antitumor activity in a wide type of tumors, such as pancreas cancer, breast carcinoma, lung cancer, and colon cancer. The current study aimed to confirm the antitumor efficacy of C-PC in esophageal squamous cell carcinoma (ESCC).

Methods: The efficacy of C-PC was evaluated against the proliferation of ESCC cell lines EC9706 and EC1 by CCK-8 kit and in a mice model of ESCC EC9706. Cell cycle and apoptosis were investigated by flow cytometry, and cell invasion was determined via transwell chamber. Protein expression was examined by Western blots.

Results: We found that C-PC exhibited anti-proliferation ability in a time-dependent manner and a dose-dependent manner in ESCC EC9706 and EC1 cells. Besides, C-PC markedly arrested cell cycle in the G0/G1 phase, induced cell apoptosis and suppressed cell invasion ability in both EC9706 and EC1 cells (p?<?.01). Notably, C-PC evoked the elevations of Bax, PARP, and cleaved-caspase-3 protein, but reduced cyclin D1, CDK4, Bcl-2, MMP-2, and MMP-9 expression levels. Further investigation from in vivo experiment revealed that C-PC displayed significant antitumor efficacy in the xenografted EC9706 model.

Conclusions: Our data presented herein suggest C-PC exerts antitumor efficacy in ESCC.     

Panel of SEREX-defined antigens for breast cancer autoantibodies profile detection

Content: Identification of panel of SEREX-defined antigens for breast cancer autoantibodies profile detection.

Objective: To create panel of antigens that can differentiate breast cancer patients and healthy individuals.

Methods: SEREX (serological analysis of cDNA expression libraries) method, ELISA (enzyme-linked immunosorbent assay), qPCR (quantitative polymerase chain reaction).

Results: In large-scale screening of 16 SEREX-antigens by sera of breast cancer patients and healthy donors, a combination of six antigens (RAD50, PARD3, SPP1, SAP30BP, NY-BR-62 and NY-CO-58) was identified, which can differentiate breast cancer patients and healthy donors with 70% sensitivity and 91% specificity. Elevated mRNA expression of SPP1 gene was revealed in breast tumors (2–7-fold) that correlated with SPP1 antigen immunoreactivity in autologous patients’ sera.

Conclusions: The new panel of six SEREX-antigens was proposed, which enables creation of serological assay for breast cancer diagnostics and/or prognosis.     

miR-200b-3p in plasma is a potential diagnostic biomarker in oral squamous cell carcinoma

Context: Circulating MicroRNAs (miRNAs) are emerging as novel biomarkers for tumour.

Objective: Evaluate the diagnostic potential of plasma miR-200b-3p in oral squamous cell carcinoma (OSCC).

Materials and methods: miR-200b-3p was detected by qRT-PCR in paired pre-operative and post-operative plasmas from 80 OSCC patients and 80 healthy controls.

Results: Plasma miR-200b-3p was significantly upregulated in OSCC, and it was higher in WHO II/III grade than WHO I grade. The AUC of miR-200b-3p for OSCC was 0.9173. miR-200b-3p was significantly downregulated after surgery. High miR-200b-3p expression was associated with poor prognosis.

Discussion and conclusion: Plasma miR-200b-3p could be a potential diagnostic biomarker for OSCC.     

Differential expression of circulating vascular cell adhesion molecule-1 in subjects with coronary artery disease and cardiac syndrome X without known diabetes mellitus

Context: Inflammation is one of the mechanisms underlying cardiac syndrome X (CSX).

Objectives: Few studies have compared the expression of inflammatory or adhesion molecules between coronary artery disease (CAD) versus CSX.

Materials and methods: Ninety-two CSX and 145 CAD subjects without known diabetes mellitus underwent coronary angiogram for angina.

Results: Vascular cell adhesion molecule (VCAM)-1 (median, 507 versus 431?ng/ml, p?=?0.001) was significantly higher in the CAD group. In the binary regression, VCAM-1 was a significant differential factor for CAD versus CSX.

Discussion and conclusion: Adhesion molecules might be implicated in the differential expression of macro versus microvascular coronary disease.

Trial registration number: NCT01198730 at https://clinicaltrials.gov     

Polymorphisms and expression of IL-32: impact on genetic susceptibility and clinical outcome of lung cancer

Context: Polymorphisms of IL-32 related closely to tumoregenesis.

Materials and methods: Two IL-32 polymorphisms (rs12934561 and rs28372698) and mRNA expression were conducted by SNP genotype assay and real-time PCR in 423 lung cancer patients and 437 controls.

Results: T allele of rs28372698 associated significantly with poor prognosis in moderate and well-differentiated lung cancer patients. TT genotype of rs12934561 related closely to poor survival status in squamous carcinoma. IL-32 mRNA expression decreased in lung cancer.

Discussion and conclusion: Our study indicates the importance of IL-32 polymorphism and mRNA expression in susceptibility and influence of survival status in lung cancer.     

H19 non-coding RNA in urine cells detects urothelial carcinoma: a pilot study

Context: Urothelial carcinoma (UC) is common and highly recurrent. Diagnosis and follow-up involve invasive cystoscopies.

Objective: To evaluate H19 RNA in urine cells as diagnostic tool for UC.

Materials and methods: RT-PCR analysis of urine samples from healthy volunteers and UC patients.

Results: H19 RNA was unequivocally detected in the urine of 90.5% of patients and 25.9% of controls. H19 copies were three orders of magnitude higher in patients. Receiver operating characteristic analysis showed an area under the curve of 0.933.

Conclusions: This pilot study shows that urinary cell H19 is a highly sensitive test for UC and pending verification could transform patient management.     

Epidermal growth factor,growth differentiation factor-15, and survivin as novel biocompatibility markers in children on chronic dialysis

Context: Chronic dialysis results in aggravation of apoptosis and cell damage, triggered by bioincompatibility of dialysis membranes and peritoneal fluids.

Objective: The aim of study was to assess the usefulness of epidermal growth factor (EGF), growth differentiation factor (GDF)-15, and survivin as novel markers of biocompatibility in dialyzed children.

Materials and methods: Parameters were assessed by ELISA in 19 patients on hemodialysis and 22 children on peritoneal dialysis.

Results: Serum concentrations of analyzed parameters in children on chronic dialysis differed significantly from controls and depended strongly on the dialysis technique.

Conclusions: EGF, GDF-15, and survivin may serve as new biocompatibility markers in children on chronic dialysis.