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Sahar Sibani

Harvard University

Publishes on Advanced Biosensing Techniques and Applications, Monoclonal and Polyclonal Antibodies Research, Folate and B Vitamins Research. 25 papers and 2.3k citations.

25Publications
2.3kTotal Citations

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Top publicationsby citations

Protein Microarray Signature of Autoantibody Biomarkers for the Early Detection of Breast Cancer
Karen S. Anderson, Sahar Sibani, Garrick Wallstrom et al.|Journal of Proteome Research|2010
Cited by 219

Cancer patients spontaneously generate autoantibodies (AAb) to tumor-derived proteins. To detect AAb, we have probed novel high-density custom protein microarrays (NAPPA) expressing 4988 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 prescreen 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 4988 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. Twenty-eight 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.

Autoantibody Signature for the Serologic Detection of Ovarian Cancer
Karen S. Anderson, Daniel W. Cramer, Sahar Sibani et al.|Journal of Proteome Research|2014
Cited by 116Open Access

Sera from patients with ovarian cancer contain autoantibodies (AAb) to tumor-derived proteins that are potential biomarkers for early detection. To detect AAb, we probed high-density programmable protein microarrays (NAPPA) expressing 5177 candidate tumor antigens with sera from patients with serous ovarian cancer (n = 34 cases/30 controls) and measured bound IgG. Of these, 741 antigens were selected and probed with an independent set of ovarian cancer sera (n = 60 cases/60 controls). Twelve potential autoantigens were identified with sensitivities ranging from 13 to 22% at >93% specificity. These were retested using a Luminex bead array using 60 cases and 60 controls, with sensitivities ranging from 0 to 31.7% at 95% specificity. Three AAb (p53, PTPRA, and PTGFR) had area under the curve (AUC) levels >60% (p < 0.01), with the partial AUC (SPAUC) over 5 times greater than for a nondiscriminating test (p < 0.01). Using a panel of the top three AAb (p53, PTPRA, and PTGFR), if at least two AAb were positive, then the sensitivity was 23.3% at 98.3% specificity. AAb to at least one of these top three antigens were also detected in 7/20 sera (35%) of patients with low CA 125 levels and 0/15 controls. AAb to p53, PTPRA, and PTGFR are potential biomarkers for the early detection of ovarian cancer.

Studies of methionine cycle intermediates (SAM, SAH), DNA methylation and the impact of folate deficiency on tumor numbers in Min mice
Sahar Sibani|Carcinogenesis|2002
Cited by 109Open Access

Several epidemiological studies have suggested a modulatory effect of dietary folate intake on the risk of colorectal cancer. The molecular basis for this inverse association is not clearly understood, but may involve alterations in DNA methylation. In this study, we examined the levels of methylation intermediates [S-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH)] and of global DNA methylation in the pre-neoplastic small intestine of Min (multiple intestinal neoplasia) mice. We also studied the effect of folate/choline deficiency on these parameters and on tumor multiplicity in this animal model. In folate-adequate Min mice, we identified positive linear correlations between SAM or SAH and tumor numbers (R(2) = 0.38, P < 0.005; R(2) = 0.26, P = 0.025, respectively). A positive correlation between global DNA hypomethylation and tumor multiplicity was also observed (R(2) = 0.29, P = 0.014). These three biochemical determinants (SAM, SAH and DNA hypomethylation) may, therefore, serve as early markers of cell transformation. Folate/choline deficiency, however, did not produce a consistent effect on tumor numbers in three separate experiments. As an increase in tumor numbers was observed only in folate- and choline-deficient mice with low levels of SAM and DNA hypomethylation, the modulatory role of folate may be dependent on the transformation state of the cell.

Characterization of six novel mutations in the methylenetetrahydrofolate reductase (MTHFR) gene in patients with homocystinuria
Cited by 88

Severe deficiency of methylenetetrahydrofolate reductase (MTHFR) is the most common inborn error of folate metabolism. Patients are characterized by severe hyperhomocysteinemia, homocystinuria and a variety of neurological and vascular problems. Eighteen rare mutations have been reported in this group of patients. Two polymorphisms which cause mild enzyme deficiencies have been described (677C-->T and 1298A-->C). The first sequence change encodes a thermolabile enzyme and is associated with mild hyperhomocysteinemia. Six novel point mutations are described in patients with severe deficiency of MTHFR, along with their associated polymorphisms and clinical phenotypes. Of the two nonsense mutations (1762A-->T, 1134C-->G) and four missense mutations (1727C-->T, 1172G-->A, 1768G-->A, and 358G-->A), one was identified in the N-terminal catalytic domain, while the others were located in the regulatory C-terminal region. All four residues affected by missense mutations are conserved in one or more MTHFRs of other species. This report brings the total to 24 mutations identified in severe MTHFR deficiency, with two mutations identified in each of 22 patients.