A Novel Strategy to Investigate Tissue-Secreted Tumor Microenvironmental Proteins in Serum toward Development of Breast Cancer Early Diagnosis Biomarker Signature.

PURPOSE: The study aims to discover and identify early grade diagnosis markers in tumor microenvironment and investigates their expression in serum. EXPERIMENTAL DESIGN: 2D fluorescence difference gel electrophoresis (2D-DIGE), a gel-based proteomics platform is used for tissue profiling and identifies deregulated proteins by matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry. Western blot validation for statistically significant six different proteins is performed in an independent cohort of participant serum. RESULTS: Total 67 nonredundant tissue proteins are identified out of 230 protein spots obtained through Marker selection tool of EDA. GELS, DAPLE, IQCC, CATD, A1AT, and HS90B are selected for validation and found to be upregulated in early grade serum samples. Pathway analysis performed through PANTHER and DAVID indicates that apoptosis, CCKR, EGF, FAS, FGF, Wnt, p13 kinase, and p53 signaling pathways are expressed specifically during or early onset of grade I cancer lesions. CONCLUSIONS AND CLINICAL RELEVANCE: GELS, DAPLE, HS90B, A1AT, IQCC, and CATD may be promising potential serum biomarker signature for diagnosis of early grade breast cancer. This panel also contributes to better understanding of molecular mechanisms involved in inceptive stage of breast cancer.

Quantitative tissue proteomic investigation of invasive ductal carcinoma of breast with luminal B HER2 positive and HER2 enriched subtypes towards potential diagnostic and therapeutic biomarkers.

Worldwide, breast cancer is one of the frequently diagnosed cancers in women with high mortality if not diagnosed at early stage. Although biomarker discoveries through various proteomic approaches have been studied in breast cancer, a limited number of studies have explored the invasive ductal carcinoma with Luminal B HER2 positive (LB) and HER2 enriched (HE) subtypes. The present study employed the complementary quantitative proteomic approaches to find a panel of markers that could discriminate LB and HE subtypes as well as early (ES) and late stages (LS) of these subtypes. A total of 67 and 68 differentially expressed proteins were identified by DIGE for the subtype and stage wise categories, respectively. Multivariate statistical analysis was employed to identify the set of most significant proteins, which could discriminate between these two subtypes and also early and late stages under study. Immunoblotting and MRM based validation in a separate cohort of samples confirmed that panel of biosignatures for LB are APOA1, GELS, HS90B, EF1A1, NHRF1 and PRDX3 and for HE are PRDX1, CATD, CALR, ATPB and CH60. For the diagnosis of early and late stages the potential markers are TPM4, CATD, PRDX3, ANXA3, HSPB1 and CALR, TRFE, GELS, CH60, CAPG, NHRF1, 1433G, GRP78 respectively.

Mass spectrometry and bioinformatics analysis data.

2DE and 2D-DIGE based proteomics analysis of serum from women with endometriosis revealed several proteins to be dysregulated. A complete list of these proteins along with their mass spectrometry data and subsequent bioinformatics analysis are presented here. The data is related to "Investigation of serum proteome alterations in human endometriosis" by Dutta et al. [1].

Investigation of serum proteome alterations in human endometriosis.

Endometriosis is a common benign gynecological disease, characterized by proliferation of functional endometrial glands and stroma outside the uterine cavity. The present study involves investigation of alterations in the serum proteome of endometriosis patients compared to healthy controls using 2DE and 2D-DIGE combined with MALDI TOF/TOF-MS. Comparison of serum proteome of endometriosis patients and healthy subjects revealed 25 significant differentially expressed proteins. Gene ontology and network analysis, performed using PANTHER, DAVID, WebGestalt and STRING, revealed that the differentially expressed proteins are majorly involved in response to stimulus, immune system, metabolic, localization and cellular processes. For serum diagnostic marker identification, several robust statistical screening procedures were applied to identify the set of the most significant proteins responsible for successful diagnosis of different endometriosis stages. Partial least squares (PLS) based marker selection tool and orthogonal partial least squares-discriminant analysis (OPLS-DA) were used to identify the most significant proteins for disease prediction. Western blotting validation in a separate cohort of patients revealed that haptoglobin (HP), Ig kappa chain C region (IGKC), alpha-1B-glycoprotein (A1BG) can be considered effective serum protein markers for the diagnosis of Stage II, III and IV endometriosis. For diagnosis of Stage I, only IGKC and HP seemed promising. BIOLOGICAL SIGNIFICANCE: Globally, about 12 in 100 women of reproductive age are diagnosed with endometriosis. The pathogenesis of the disease still remains unclear, leading to non-specific therapeutic approaches for disease management. Moreover, there is a delay of 8-12years in correct diagnosis after the initial onset of symptoms leading to a considerable impact on the woman's lifestyle. Also, the gold standard for diagnosis of endometriosis, laparoscopy, is an invasive procedure. The value of a noninvasive or semi-invasive diagnostic test for endometriosis with easily accessible fluids such as plasma, serum, urine, and saliva is, therefore, rightfully recognized. The present study is expected to considerably improve the understanding of the disease pathogenesis along with improved diagnostics and therapeutic approaches leading to better management of the disease.

Proteomic analysis of Streptomyces coelicolor in response to Ciprofloxacin challenge.

Multi-drug tolerance is an important phenotypic property that complicates treatment of infectious diseases and reshapes drug discovery. Hence a systematic study of the origins and mechanisms of resistance shown by microorganisms is imperative. Since soil-dwelling bacteria are constantly challenged with a myriad of antibiotics, they are potential reservoirs of resistance determinants that can be mobilized into pathogens over a period of time. Elucidating the resistance mechanisms in such bacteria could help future antibiotic discoveries. This research is a preliminary study conducted to determine the effects of ciprofloxacin (CIP) on the intrinsically resistant Gram-positive soil bacterium Streptomyces coelicolor. The effect was investigated by performing 2-DE on total protein extracts of cells exposed to sub-lethal concentrations of ciprofloxacin as compared to the controls. Protein identification by MALDI-TOF/TOF revealed 24 unique differentially expressed proteins, which were statistically significant. The down-regulation of proteins involved in carbohydrate metabolism indicated a shift in the cell physiology towards a state of metabolic shutdown. Furthermore, the observed decline in protein levels involved in transcription and translation machinery, along with depletion of enzymes involved in amino acid biosynthesis and protein folding could be a cellular response to DNA damage caused by CIP, thereby minimizing the effect of defective and energetically wasteful metabolic processes. This could be crucial for the initial survival of the cells before gene level changes could come into play to ensure survival under prolonged adverse conditions. These results are a first attempt towards profiling the proteome of S. coelicolor in response to antibiotic stress. This article is part of a Special Issue entitled: Trends in Microbial Proteomics. BIOLOGICAL SIGNIFICANCE: Soil-dwelling bacteria could serve as a reservoir of resistance determinants for clinically important bacteria. In this work, we investigated, for the first time, the differential proteomic profile of S. coelicolor cells in response to sub-inhibitory concentrations of Ciprofloxacin using 2-DE. Results indicate a shift in the cell physiology towards a state of metabolic shutdown, possibly to counter the DNA damage by ciprofloxacin. Further, up-regulation of GAPDH, RNA pol mRNA and Translation IF2 protein indicates a reprogramming of the cell for long-term survival. This study could serve as a basis for further investigations to elucidate the general mechanism by which soil bacteria exhibit resistance to fluroquinolones. This may help in developing new drug protocols and inventing novel drugs to counter resistance to this class of antibiotics in pathogenic bacteria.