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Biomedical subjects

Arun Sreekumar

Publications and source records attributed to Arun Sreekumar.

14 recordsLinked to original sources

Rat somatic genome editing enables ER+ breast cancer modeling.

Genetically engineered mouse models have advanced cancer research but often fail to capture key features of certain human tumors. Rats, with distinct physiology and tumor biology, offer a powerful alternative, yet their use has been constrained by technical barriers to genome editing. Here, we report efficient somatic genome editing in rats, enabling both Indel and substitution mutations. We then apply this approach to model estrogen receptor (ER)-positive breast cancer, which accounts for ~70% of human cases but remains poorly represented in mice. The resulting rat tumors reproduce hallmarks of human ER+ breast cancer, including ductal histology, hormone responsiveness, and immune-microenvironmental features. By contrast, identical genetic alterations in mice failed to yield ER+ tumors, underscoring critical species differences in tumorigenesis. Together, this work establishes a versatile platform for rapid generation of clinically relevant rat tumor models, opening new avenues to dissect tumor biology, therapeutic response, and immune interactions in previously inaccessible cancer subtypes.

Journal Article↗

Differential phosphoprotein mapping in cancer cells using protein microarrays produced from 2-D liquid fractionation.

A combination of protein microarrays and two-dimensional liquid-phase separation of proteins has been used for global profiling of the phosphoproteome in human breast cancer cells. This method has been applied to study changes in phosphorylation profile resulting from treatment of the cancer cells with PD173074, a known receptor tyrosine kinase inhibitor. The proteins separated by 2-D liquid-phase separation were arrayed on epoxy-coated glass slides and first screened for phosphorylation using fluorescent Pro-Q Diamond stain. The candidate proteins were then identified using MALDI/ESI MS/MS analysis. Further, validation was achieved by immunoblot analysis using anti-phosphotyrosine antibodies. A dynamic range of approximately 100 was achieved on the microarray when beta-casein was used as a standard protein for obtaining quantitative data. Importantly, the power of this method lies in its ability to identify a large group of proteins in a single experiment that are coregulated in their posttranslational modifications, upon treatment with the inhibitor. Since proteins are known to form interacting circuits that eventually lead to various signaling events, detection of such global phosphorylation profiles might enable delineation of functional pathways that play an important role during cancer initiation and progression.

Breast Neoplasms↗

Trisomy 12-associated, t(11;14)-negative mature B-cell leukemia with gene expression profile resembling mantle cell lymphoma.

Trisomy 12 can be seen in many different lymphoid neoplasms. However, many or most mature B-cell leukemias associated with isolated trisomy 12 are reported in the literature as chronic lymphocytic leukemia (CLL) or 'atypical CLL'. This study reports a case of a mature B-cell leukemia, morphologically and immunophenotypically similar to cases previously published as atypical CLL, in which cytogenetic evaluation revealed an isolated clonal trisomy 12 but no evidence of the mantle cell lymphoma-associated t(11;14)(q13;q32). Further analysis confirmed absence of cyclin-D1 expression. Subsequent lymph node biopsy revealed evidence of large cell transformation of the underlying chronic lymphoproliferative disorder. Gene expression profiling of the initial peripheral blood sample using a cDNA micro-array of approximately 10,000 expressed genes revealed a close resemblance between the reported case and 2 cases of known mantle cell lymphoma. When further compared to 7 known 'typical' CLL cases, the reported case was classified as mantle cell lymphoma by hierarchical cluster analysis. The case reported here raises interesting questions regarding the nature of cases reported previously as trisomy 12-associated CLL and reinforces the fact that other leukemic lymphoproliferative disorders should be included in the differential diagnosis of such cases. Further study is indicated to elucidate the nature and diversity of disorders previously reported as trisomy 12-associated chronic lymphocytic leukemia.

Aged↗

Autoantibody signatures in prostate cancer.

BACKGROUND: New biomarkers, such as autoantibody signatures, may improve the early detection of prostate cancer. METHODS: With a phage-display library derived from prostate-cancer tissue, we developed and used phage protein microarrays to analyze serum samples from 119 patients with prostate cancer and 138 controls, with the samples equally divided into training and validation sets. A phage-peptide detector that was constructed from the training set was evaluated on an independent validation set of 128 serum samples (60 from patients with prostate cancer and 68 from controls). RESULTS: A 22-phage-peptide detector had 88.2 percent specificity (95 percent confidence interval, 0.78 to 0.95) and 81.6 percent sensitivity (95 percent confidence interval, 0.70 to 0.90) in discriminating between the group with prostate cancer and the control group. This panel of peptides performed better than did prostate-specific antigen (PSA) in distinguishing between the group with prostate cancer and the control group (area under the curve for the autoantibody signature, 0.93; 95 percent confidence interval, 0.88 to 0.97; area under the curve for PSA, 0.80; 95 percent confidence interval, 0.71 to 0.88). Logistic-regression analysis revealed that the phage-peptide panel provided additional discriminative power over PSA (P<0.001). Among the 22 phage peptides used as a detector, 4 were derived from in-frame, named coding sequences. The remaining phage peptides were generated from untranslated sequences. CONCLUSIONS: Autoantibodies against peptides derived from prostate-cancer tissue could be used as the basis for a screening test for prostate cancer.

Aged↗

Development of an internally controlled antibody microarray.

Antibody microarrays are a high throughput technology used to concurrently screen for protein expression. Most antibody arrays currently used are based on the ELISA sandwich approach that uses two antibodies to screen for the expression of a limited number of proteins. Also because antigen-antibody interactions are concentration-dependent, antibody microarrays need to normalize the amount of antibody that is used. In response to the limitations with the currently existing technology we have developed a single antibody-based microarray where the quantity of antibody spotted is used to standardize the antigen concentration. In addition, this new array utilizes an internally controlled system where one color represents the amount of antibody spotted, and the other color represents the amount of the antigen that is used to quantify the level of protein expression. When compared with median fluorescence intensity alone, normalization for antibody spot intensity decreased variability and lowered the limits of detection. This new antibody array was tested using standard cytokine proteins and also cell lysates obtained from mouse macrophages stimulated in vitro and evaluated for the expression of the cytokine proteins interleukin (IL)-1beta, IL-5, IL-6, and macrophage inflammatory proteins 1alpha and 1beta. The levels of protein expression seen with the antibody microarray was compared with that obtained with Western blot analysis, and the magnitude of protein expression observed was similar with both technologies with the antibody array actually showing a greater degree of sensitivity. In summary, we have developed a new type of antibody microarray to screen for protein expression that utilizes a single antibody and controls for the amount of antibody spotted. This type of array appears at least as sensitive as Western blot analysis, and the technology can be scaled up for high throughput screening for hundreds of proteins in complex biofluids such as blood.

Animals↗

Serum antibodies to huntingtin interacting protein-1: a new blood test for prostate cancer.

Huntingtin-interacting protein 1 (HIP1) is frequently overexpressed in prostate cancer. HIP1 is a clathrin-binding protein involved in growth factor receptor trafficking that transforms fibroblasts by prolonging the half-life of growth factor receptors. In addition to human cancers, HIP1 is also overexpressed in prostate tumors from the transgenic adenocarcinoma of the mouse prostate (TRAMP) mouse model. Here we provide evidence that HIP1 plays an important role in mouse tumor development, as tumor formation in the TRAMP mice was impaired in the Hip1null/null background. In addition, we report that autoantibodies to HIP1 developed in the sera of TRAMP mice with prostate cancer as well as in the sera from human prostate cancer patients. This led to the development of an anti-HIP1 serum test in humans that had a similar sensitivity and specificity to the anti-alpha-methylacyl CoA racemase (AMACR) and prostate-specific antigen tests for prostate cancer and when combined with the anti-AMACR test yielded a specificity of 97%. These data suggest that HIP1 plays a functional role in tumorigenesis and that a positive HIP1 autoantibody test may be an important serum marker of prostate cancer.

Adenocarcinoma↗

Humoral immune response to alpha-methylacyl-CoA racemase and prostate cancer.

BACKGROUND: Although prostate-specific antigen (PSA) is a prototypic biomarker for prostate cancer, it has poor specificity. Expression of alpha-methylacyl-CoA racemase (AMACR), which is involved in the conversion of R-stereoisomers of branched-chain fatty acids to S-stereoisomers, has been shown to be specifically increased in prostate cancer epithelia. However, attempts to detect AMACR in circulation have not been successful. Hence, we determined whether an immune response to AMACR could be used as a serum biomarker for prostate cancer. METHODS: Sera from patients with biopsy-proven prostate cancer and from control subjects were screened for a humoral immune response to selected tumor antigens, including AMACR, by using protein microarrays (46 patients, 28 control subjects). Humoral immune response to AMACR was then validated using high-throughput immunoblot analysis (151 patients, 259 control subjects) and enzyme-linked immunosorbent assay (ELISA) (54 patients, 55 control subjects). Receiver operating characteristic curves were used to determine the sensitivity and specificity of the immune response to AMACR to detect prostate cancer. RESULTS: Immunoreactivity against AMACR was statistically significantly higher in sera from patients with prostate cancer than in control subjects by all three techniques (P(protein microarray) =.009, P(immunoblot)<.001, P(ELISA) =.011). High-throughput immunoblot analysis revealed that, in subjects with intermediate PSA levels (4-10 ng/mL), the immune response against AMACR was more sensitive and specific than was PSA in distinguishing sera from prostate cancer patients relative to control subjects (sensitivity and specificity of 77.8% and 80.6% versus 45.6% and 50%, respectively; area under the curve of 0.789 versus 0.492; P<.001). CONCLUSION: Assays to detect a humoral immune response against AMACR may have the potential to supplement PSA screening in identifying patients with clinically significant prostate cancer, especially those with intermediate PSA levels.

Adult↗

Radiosensitization by pan ErbB inhibitor CI-1033 in vitro and in vivo.

PURPOSE: Overexpression of the ErbB family of receptor tyrosine kinases has been associated with uncontrolled growth of many tumor types and, therefore, presents a promising molecular target for cancer therapy. CI-1033 is a small molecule tyrosine kinase inhibitor that differs from other 4-anilinoquinazolines by being a pan ErbB (instead of epidermal growth factor receptor-specific) irreversible (instead of reversible) inhibitor. Therefore, we investigated the antitumor effect of CI-1033 alone and in combination with ionizing radiation in vitro and in vivo. EXPERIMENTAL DESIGN: We selected three human colon carcinoma cell-lines (LoVo, Caco-2, which express activated epidermal growth factor receptor and ErbB-2 family members, and SW620, which does not), and analyzed the effects of CI-1033 both in vitro and in vivo. For in vivo studies LoVo and Caco-2 cells were implanted s.c. in the flank of nude mice. After the tumor reached approximately 100 mm(3), treatment was initiated with 20 mg/kg of CI-1033 (orally once daily x 5 for 3 successive weeks), radiation treatment (a total of 30 Gy given in 2 Gy once daily x 5 for 3 successive weeks), or a combination of both CI-1033 and radiation treatment. RESULTS: We found that exposure of LoVo and Caco-2, but not SW620 cells, to CI-1033 in the range of 1-3 micro M could inhibit constitutive signaling by tyrosine kinases, arrest cell growth, inhibit cells in G(1), stimulate expression of p53, and induce apoptosis. The inhibition of cell growth by CI-1033 seemed to produce only minimal radiosensitization in LoVo and Caco-2 cells. In contrast, the combination of CI-1033 and radiation produced significant (P < 0.0005 and P = 0.0002, respectively) and prolonged suppression of tumor growth in both the tumor types when compared with either treatment alone. CONCLUSIONS: These findings suggest that CI-1033 can increase the effectiveness of radiation therapy. The extent of suppression of tyrosine kinase activity by CI-1033, rather than the amount of activity in untreated cells, seemed to be more closely associated with the efficacy of combination treatment.

Animals↗

Development of a sensitive microarray immunoassay and comparison with standard enzyme-linked immunoassay for cytokine analysis.

Cytokine and cytokine inhibitors represent important components of the inflammatory response in patients with trauma, shock, and sepsis. Many investigators wish to quantify cytokines and it would be advantageous to measure multiple cytokines in a multiplex manner to obtain an inflammatory profile rather than a single value. Using the well-accepted standard enzyme-linked immunoassay (ELISA) as a basis, a microarray immunoassay (MI) was designed to measure 16 different human cytokines simultaneously. The MI was performed by spotting antibodies on nitrocellulose pads affixed to glass slides. Detection of the mediators was performed with biotin-conjugated antibodies followed by fluorescently labeled streptavidin. All antibodies and other reagents were purchased commercially. The MI achieved a lower limit of detection that was generally similar to traditional ELISAs (approximately 4-12 pg/mL) and also had a similar coefficient of variation. In the multiplexed MI, there was no cross reactivity between mediators. To verify the utility of the MI, cytokines and cytokine inhibitors were measured in endotoxin stimulated human blood by both ELISA and MI. Virtually identical cytokine concentrations were measured by both methods. These results describe the development of a sensitive, specific and cost-effective multiplexed microarray immunoassay that produces values similar to traditional ELISAs.

Antibodies↗

Protein microarrays using liquid phase fractionation of cell lysates.

We describe an approach in which protein microarrays are produced using a two-dimensional (2-D) liquid phase fractionation of cell lysates. The method involves a pI-based fractionation using chromatofocusing in the first dimension followed by nonporous reversed-phase high-performance liquid chromatography (HPLC) of each pI fraction in the second dimension. This allows fractionation of cellular proteins in the liquid phase that could then be arrayed on nitrocellulose slides and used to study humoral response in cancer. Protein microarrays have been used to identify potential serum biomarkers for prostate cancer. It is shown that specific fractions are immunoreactive against prostate cancer serum but not against serum from healthy individuals. These proteins could serve as sero-diagnostic markers for prostate cancer. Importantly, this method allows for use of post-translationally modified proteins as baits for detection of humoral response. Proteins eliciting an immune response are identified using the molecular mass and peptide sequence data obtained using mass spectrometric analysis of the liquid fractions. The fractionation of proteins in the liquid phase make this method amenable to automation.

Automation↗

High and selective expression of yeast cytosine deaminase under a carcinoembryonic antigen promoter-enhancer.

Yeast cytosine deaminase (yCD)-based gene therapy offers the potential for selective production of the cytotoxic and radiosensitizing drug 5-fluorouracil (5-FU) from the benign prodrug 5-fluorocytosine within colorectal cancers. Although previous attempts to target therapy to colorectal cancer using the carcinoembryonic antigen (CEA) promoter have demonstrated specificity, this has been achieved at the cost of 10- to 300-fold loss in activity compared with strong but nonspecific rous sarcoma virus (RSV) or cytomegalovirus promoters. We developed a highly specific and active gene transfer method for colorectal cancer using CEA under control of a promoter-enhancer. We compared the RSV promoter-derived with the CEA promoter-enhancer-derived transgene expression in 10 different cell lines with differing CEA status. We found that the transgene expression resulting from both transient transfection and adenoviral infection with the CEA promoter-enhancer was as strong as the RSV promoter while maintaining specificity for CEA-producing cell lines. For instance, when we compared yCD expression between LoVo (CEA+) and human fibroblast (CEA-), we found a 30-fold-increased yCD expression in LoVo cells from CEA-enhancer adenovirus although there was no difference in the yCD expression between the cell lines when infected with RSV/yCD virus. This specificity was also achieved while maintaining a higher yCD enzyme activity than we obtained with RSV/yCD adenovirus in an HT-29 intrahepatic tumor model. We then compared the response of HT-29 xenografts to treatment with 5-fluorocytosine and yCD adenovirus driven by either the RSV or the CEA promoter-enhancer and found similar tumor growth inhibition. These findings suggest that the CEA promoter-enhancer strategy confers specificity while preserving activity and is worth exploring in additional animal and, potentially, clinical trials.

Adenoviridae↗

Using protein microarrays to study cancer.

Microarrays or "biochips" provide an efficient way to achieve a global molecular perspective of human disease. DNA microarrays have been used extensively to generate transcriptional fingerprints of cancer. More recently, high-throughput technique to study proteins have also been developed. Biochip-based microarrays containing spotted antigens or antibodies offer the ability to study protein-protein interactions, identify biomarkers, and study the humoral response to cancer. This review will focus on developments in the area of antigen and antibody microarrays and describe some of their applications to cancer research.

Animals↗

Protein microarrays: a powerful tool to study cancer.

Protein microarrays offer a robust way of examining the cellular proteome. The use of protein arrays to study cancer will enable better understanding of the molecular events associated with tumor development and progression. The use of antigen and antibody arrays could revolutionize the area of biomarker discovery, deciphering biochemical and signaling pathways and pharmaceutical research. This review will focus on current developments in the area of protein microarrays and their application in the study of cancer.

Animals↗

Molecular cross-talk between the TRAIL and interferon signaling pathways.

TRAIL/APO-2L induces apoptosis in a variety of transformed cells and has potential as an anti-cancer therapeutic. The physiologic role of TRAIL is presumably more complex than merely activating caspase-mediated cell death. To shed light into TRAIL-mediated signaling, we used DNA microarrays to profile gene expression mediated by TRAIL in breast carcinoma cells. Primary response genes induced by TRAIL included a number of known NF-kappaB-dependent genes such as cIAP2, A20, and E-selectin. Remarkably, global transcriptome analysis revealed that TRAIL also induced a cohort of genes related to the interferon-signaling pathway. Assessing interferon-induced gene expression suggested various points of interaction with the TRAIL signaling pathway. Interestingly, while we observed interferon-mediated up-regulation of TRAIL, we also demonstrated a concomitant TRAIL-mediated induction of interferon-beta. Combining TRAIL and interferon in vitro, synergistically induced apoptosis and caspase activation in breast cancer cells. Together, these data indicate multiple levels of molecular cross-talk between the two diverse cytokines with anti-tumor properties.

Apoptosis↗