BackgroundDespite recent progress in understanding the molecular basis of Vibrio cholerae pathogenesis, there is relatively little knowledge of the factors that determine the variability in human susceptibility to V. cholerae infection.Methods and FindingsWe performed an observational study of a cohort of household contacts of cholera patients in Bangladesh, and compared the baseline characteristics of household members who went on to develop culture-positive V. cholerae infection with individuals who did not develop infection. Although the vibriocidal antibody is the only previously described immunologic marker associated with protection from V. cholerae infection, we found that levels of serum IgA specific to three V. cholerae antigens—the B subunit of cholera toxin, lipopolysaccharide, and TcpA, the major component of the toxin–co-regulated pilus—also predicted protection in household contacts of patients infected with V. cholerae O1, the current predominant cause of cholera. Circulating IgA antibodies to TcpA were also associated with protection from V. cholerae O139 infection. In contrast, there was no association between serum IgG antibodies specific to these three antigens and protection from infection with either serogroup. We also found evidence that host genetic characteristics and serum retinol levels modify susceptibility to V. cholerae infection.ConclusionsOur observation that levels of serum IgA (but not serum IgG) directed at certain V. cholerae antigens are associated with protection from infection underscores the need to better understand anti–V. cholerae immunity at the mucosal surface. Furthermore, our data suggest that susceptibility to V. cholerae infection is determined by a combination of immunologic, nutritional, and genetic characteristics; additional factors that influence susceptibility to cholera remain unidentified.

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Human breast cancers are broadly classified based on their geneexpression profiles into luminal-and basal-type tumors. These two major tumor subtypes express markers corresponding to the major differentiation states of epithelial cells in the breast: luminal (EpCAM + ) and basal/myoepithelial (CD10 + ). However, there are also rare types of breast cancers, such as metaplastic carcinomas, where tumor cells exhibit features of alternate cell types that no longer resemble breast epithelium. Until now, it has been difficult to identify the cell type(s) in the human breast that gives rise to these various forms of breast cancer. Here we report that transformation of EpCAM + epithelial cells results in the formation of common forms of human breast cancer, including estrogen receptor-positive and estrogen receptor-negative tumors with luminal and basal-like characteristics, respectively, whereas transformation of CD10 + cells results in the development of rare metaplastic tumors reminiscent of the claudin-low subtype. We also demonstrate the existence of CD10 + breast cells with metaplastic traits that can give rise to skin and epidermal tissues. Furthermore, we show that the development of metaplastic breast cancer is attributable, in part, to the transformation of these metaplastic breast epithelial cells. These findings identify normal cellular precursors to human breast cancers and reveal the existence of a population of cells with epidermal progenitor activity within adult human breast tissues.cell of origin | epidermal progenitor cells | luminal progenitors

Cancer patients spontaneously generate autoantibodies (AAb) to tumor-derived proteins.. To detect AAb, we have probed novel high-density custom protein microarrays (NAPPA) expressing 4,988 candidate tumor antigens with sera from patients with early stage breast cancer (IBC), and bound IgG was measured. We used a three-phase serial screening approach. First, a pre-screen was performed to eliminate uninformative antigens. Sera from stage I–III IBC (n=53) and healthy women (n=53) were screened for AAb to all 4,988 protein antigens. Antigens were selected if the 95th percentile of signal of cases and controls were significantly different (p<0.05) and if the number of cases with signals above the 95th percentile of controls was significant (p<0.05). These 761 antigens were screened using an independent set of IBC sera (n=51) and sera from women with benign breast disease (BBD) (n=39). From these, 119 antigens had a partial area under the ROC curve (p<0.05), with sensitivities ranging from 9–40% at >91% specificity. 28 of these antigens were confirmed using an independent serum cohort (n=51 cases/38 controls, p<0.05). Using all 28 AAb, a classifier was identified with a sensitivity of 80.8% and a specificity of 61.6% (AUC=0.756). These are potential biomarkers for the early detection of breast cancer.

Background Peanut oral immunotherapy (OIT) is a promising approach to peanut allergy but reactions are frequent and some patients cannot be desensitized. The anti-IgE medication omalizumab (Xolair) may allow more rapid peanut updosing and decrease reactions. Objective To evaluate if omalizumab facilitated rapid peanut desensitization in highly allergic patients. Methods Thirty-seven subjects were randomized to omalizumab (n=29) or placebo (n=8). After 12 weeks of treatment subjects underwent a rapid one-day desensitization of up to 250 mg of peanut protein, followed by weekly increases up to 2000 mg. Omalizumab was then discontinued and subjects continued on 2000 mg of peanut protein. They underwent an open challenge to 4000 mg peanut protein twelve weeks after stopping study drug. If tolerated, subjects continued on 4000 mg of peanut protein daily. Results The median peanut dose tolerated on the initial desensitization day was 250 mg for omalizumab versus 22.5 mg for placebo treated subject. Subsequently 23 of 29 (79%) subjects randomized to omalizumab tolerated 2000 mg peanut protein 6 weeks after stopping omalizumab versus 1 of 8 (12%) receiving placebo (p<0.01). Twenty-three subjects on omalizumab versus 1 on placebo passed the 4000 mg food challenge. Overall reaction rates were not significantly lower in omalizumab versus placebo treated subjects (OR=0.57 p=0.15), although omalizumab treated subjects were exposed to much higher doses of peanut. Conclusion Omalizumab allows subjects with peanut allergy to be rapidly desensitized over as little as 8 weeks of peanut OIT. In the majority of subjects, this desensitization is sustained after omalizumab is discontinued. Additional studies will help clarify which patients would benefit most from this approach.

There is strong preclinical evidence that cancer, including breast cancer, undergoes immune surveillance. This continual monitoring, by both the innate and the adaptive immune systems, recognizes changes in protein expression, mutation, folding, glycosylation, and degradation. Local immune responses to tumor antigens are amplified in draining lymph nodes, and then enter the systemic circulation. The antibody response to tumor antigens, such as p53 protein, are robust, stable, and easily detected in serum, may exist in greater concentrations than their cognate antigens, and are potential highly specific biomarkers for cancer. However, antibodies have limited sensitivities as single analytes, and differences in protein purification and assay characteristics have limited their clinical application. For example, p53 autoantibodies in the sera are highly specific for cancer patients, but are only detected in the sera of 10-20% of patients with breast cancer. Detection of p53 autoantibodies is dependent on tumor burden, p53 mutation, rapidly decreases with effective therapy, but is relatively independent of breast cancer subtype. Although antibodies to hundreds of other tumor antigens have been identified in the sera of breast cancer patients, very little is known about the specificity and clinical impact of the antibody immune repertoire to breast cancer. Recent advances in proteomic technologies have the potential for rapid identification of immune response signatures for breast cancer diagnosis and monitoring. We have adapted programmable protein microarrays for the specific detection of autoantibodies in breast cancer. Here, we present the first demonstration of the application of programmable protein microarray ELISAs for the rapid identification of breast cancer autoantibodies.

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