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Dive into the research topics where Dalia Cohen is active.

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Featured researches published by Dalia Cohen.


Nature Biotechnology | 2008

MicroRNAs accurately identify cancer tissue origin

Nitzan Rosenfeld; Ranit Aharonov; Eti Meiri; Shai Rosenwald; Yael Spector; Merav Zepeniuk; Hila Benjamin; Norberto Shabes; Sarit Tabak; Asaf Levy; Danit Lebanony; Yaron Goren; Erez Silberschein; Nurit Targan; Alex Ben-Ari; Shlomit Gilad; Netta Sion-Vardy; Ana Tobar; Meora Feinmesser; Oleg Kharenko; Ofer Nativ; Dvora Nass; Marina Perelman; Ady Yosepovich; Bruria Shalmon; Sylvie Polak-Charcon; Eddie Fridman; Amir Avniel; Isaac Bentwich; Zvi Bentwich

MicroRNAs (miRNAs) belong to a class of noncoding, regulatory RNAs that is involved in oncogenesis and shows remarkable tissue specificity. Their potential for tumor classification suggests they may be used in identifying the tissue in which cancers of unknown primary origin arose, a major clinical problem. We measured miRNA expression levels in 400 paraffin-embedded and fresh-frozen samples from 22 different tumor tissues and metastases. We used miRNA microarray data of 253 samples to construct a transparent classifier based on 48 miRNAs. Two-thirds of samples were classified with high confidence, with accuracy >90%. In an independent blinded test-set of 83 samples, overall high-confidence accuracy reached 89%. Classification accuracy reached 100% for most tissue classes, including 131 metastatic samples. We further validated the utility of the miRNA biomarkers by quantitative RT-PCR using 65 additional blinded test samples. Our findings demonstrate the effectiveness of miRNAs as biomarkers for tracing the tissue of origin of cancers of unknown primary origin.


Journal of Clinical Oncology | 2009

Diagnostic Assay Based on hsa-miR-205 Expression Distinguishes Squamous From Nonsquamous Non–Small-Cell Lung Carcinoma

Danit Lebanony; Hila Benjamin; Shlomit Gilad; Meital Ezagouri; Avital Dov; Karin Ashkenazi; Nir Gefen; Shai Izraeli; Gideon Rechavi; Harvey I. Pass; Daisuke Nonaka; Junjie Li; Yael Spector; Nitzan Rosenfeld; Ayelet Chajut; Dalia Cohen; Ranit Aharonov; Mahesh Mansukhani

PURPOSE Recent advances in treatment of lung cancer require greater accuracy in the subclassification of non-small-cell lung cancer (NSCLC). Targeted therapies which inhibit tumor angiogenesis pose higher risk for adverse response in cases of squamous cell carcinoma. Interobserver variability and the lack of specific, standardized assays limit the current abilities to adequately stratify patients for such treatments. In this study, we set out to identify specific microRNA biomarkers for the identification of squamous cell carcinoma, and to use such markers for the development of a standardized assay. PATIENTS AND METHODS High-throughput microarray was used to measure microRNA expression levels in 122 adenocarcinoma and squamous NSCLC samples. A quantitative real-time polymerase chain reaction (qRT-PCR) platform was used to verify findings in an independent set of 20 NSCLC formalin-fixed, paraffin-embedded (FFPE) samples, and to develop a diagnostic assay using an additional set of 27 NSCLC FFPE samples. The assay was validated using an independent blinded cohort consisting of 79 NSCLC FFPE samples. RESULTS We identified hsa-miR-205 as a highly specific marker for squamous cell lung carcinoma. A microRNA-based qRT-PCR assay that measures expression of hsa-miR-205 reached sensitivity of 96% and specificity of 90% in the identification of squamous cell lung carcinomas in an independent blinded validation set. CONCLUSION Hsa-miR-205 is a highly accurate marker for lung cancer of squamous histology. The standardized diagnostic assay presented here can provide highly accurate subclassification of NSCLC patients.


The Journal of Molecular Diagnostics | 2010

A Diagnostic Assay Based on MicroRNA Expression Accurately Identifies Malignant Pleural Mesothelioma

Hila Benjamin; Danit Lebanony; Shai Rosenwald; Lahav Cohen; Hadas Gibori; Naama Barabash; Karin Ashkenazi; Eran Goren; Eti Meiri; Sara Morgenstern; Marina Perelman; Iris Barshack; Yaron Goren; Tina Bocker Edmonston; Ayelet Chajut; Ranit Aharonov; Zvi Bentwich; Nitzan Rosenfeld; Dalia Cohen

The definitive identification of malignant pleural mesothelioma (MPM) has significant clinical implications, yet other malignancies often involve the lung pleura, confounding the diagnosis of MPM. In the absence of accurate markers, MPM can be difficult to distinguish from peripheral lung adenocarcinoma and metastatic epithelial cancers. MicroRNA expression is tissue-specific and highly informative for identifying tumor origin. We identified microRNA biomarkers for the differential diagnosis of MPM and developed a standardized microRNA-based assay. Formalin-fixed, paraffin-embedded samples of 33 MPM and 210 carcinomas were used for assay development. Using microarrays, we identified microRNAs differentially expressed between MPM and various carcinomas. Hsa-miR-193-3p was overexpressed in MPM, while hsa-miR-200c and hsa-miR-192 were overexpressed in peripheral lung adenocarcinoma and carcinomas that frequently metastasize to lung pleura. We developed a standardized diagnostic assay based on the expression of these microRNAs. The assay reached a sensitivity of 100% and a specificity of 94% in a blinded validation set of 68 samples from the lung and pleura. This diagnostic assay can provide a useful tool in the differential diagnosis of MPM from other malignancies in the pleura.


Clinical Cancer Research | 2011

Prospective Gene Signature Study Using microRNA to Identify the Tissue of Origin in Patients with Carcinoma of Unknown Primary

Gauri R. Varadhachary; Yael Spector; James L. Abbruzzese; Shai Rosenwald; Huamin Wang; Ranit Aharonov; Heather R. Carlson; Dalia Cohen; Siddharth Karanth; Joanna Macinskas; Renato Lenzi; Ayelet Chajut; Tina Bocker Edmonston; Martin N. Raber

Purpose: Accurate identification of tissue of origin (ToO) for patients with carcinoma of unknown primary (CUP) may help customize therapy to the putative primary and thereby improve the clinical outcome. We prospectively studied the performance of a microRNA-based assay to identify the ToO in CUP patients. Experimental Design: Formalin-fixed paraffin-embedded (FFPE) metastatic tissue from 104 patients was reviewed and 87 of these contained sufficient tumor for testing. The assay quantitates 48 microRNAs and assigns one of 25 tumor diagnoses by using a biologically motivated binary decision tree and a K-nearest neighbors (KNN). The assay predictions were compared with clinicopathologic features and, where suitable, to therapeutic response. Results: Seventy-four of the 87 cases were processed successfully. The assay result was consistent or compatible with the clinicopathologic features in 84% of cases processed successfully (71% of all samples attempted). In 65 patients, pathology and immunohistochemistry (IHC) suggested a diagnosis or (more often) a differential diagnosis. Out of those, the assay was consistent or compatible with the clinicopathologic presentation in 55 (85%) cases. Of the 9 patients with noncontributory IHC, the assay provided a ToO prediction that was compatible with the clinical presentation in 7 cases. Conclusions: In this prospective study, the microRNA diagnosis was compatible with the clinicopathologic picture in the majority of cases. Comparative effectiveness research trials evaluating the added benefit of molecular profiling in appropriate CUP subsets are warranted. MicroRNA profiling may be particularly helpful in patients in whom the IHC profile of the metastasis is nondiagnostic or leaves a large differential diagnosis. Clin Cancer Res; 17(12); 4063–70. ©2011 AACR.


The International Journal of Biochemistry & Cell Biology | 2010

Differential diagnosis of hepatocellular carcinoma from metastatic tumors in the liver using microRNA expression

Iris Barshack; Eti Meiri; Shai Rosenwald; Danit Lebanony; Meital Bronfeld; Sarit Aviel-Ronen; Kinneret Rosenblatt; Sylvie Polak-Charcon; Ilit Leizerman; Meital Ezagouri; Merav Zepeniuk; Norberto Shabes; Lahav Cohen; Sarit Tabak; Dalia Cohen; Zvi Bentwich; Nitzan Rosenfeld

Distinguishing hepatocellular carcinoma from metastatic tumors in the liver is of great practical importance, with significant therapeutic and prognostic implications. This differential diagnosis can be difficult because metastatic cancers in the liver, especially adenocarcinomas, may mimic the morphology and immunoexpression of hepatocellular carcinoma. Biomarkers that are specifically expressed in either hepatocellular carcinoma or metastatic adenocarcinoma can therefore be useful diagnostic tools. To find such biomarkers, we studied microRNA expression in 144 tumor samples using custom microarrays. Hsa-miR-141 and hsa-miR-200c, microRNAs that promote epithelial phenotypes, had significantly higher levels in non-hepatic epithelial tumors. In contrast, endothelial-associated hsa-miR-126 showed higher expression levels in hepatocellular carcinomas. Combinations of these microRNAs accurately identified primary hepatocellular carcinoma from metastatic adenocarcinoma in the liver. These findings were validated using quantitative real-time PCR to measure microRNA expression in additional samples. Thus, the tissue-specific expression patterns of microRNAs make them useful biomarkers for the diagnosis of liver malignancies.


Cancer Research | 2010

Abstract 4053: One MicroRNA Has Prognostic Potential For Malignant Pleural Mesothelioma

Ayelet Chajut; Harvey I. Pass; Chandra Goparaju; Dalia Cohen; Harel Dan; Sergey V. Ivanov; Hadas Gibori; Shai Rosenwald; Jessica S. Donington; Nir Dromi; Moshe Hoshen

Introduction: The current inability to forecast outcomes for malignant pleural mesothelioma prevents clinicians from providing aggressive multimodality therapy to the most appropriate individuals who may benefit from such an approach, and hence compromises their prognosis. It was previously shown that microRNAs (miRs) have a role in the cancer process, and that they can serve as biomarkers for different tumors or histological types. Here we investigated whether specific miRs could differentiate a largely surgically-treated group of mesotheliomas into good or bad prognosis categories. Methods: In a retrospective study using snap frozen, immunohistochemically-proven mesothelioma surgical specimens, we looked for miRs associated with survival and time to progression. A training set of 44 and a test set of 98 mesothelioma tumor samples were analyzed by a custom ∼900 microRNA microarray platform and verified by qRT-PCR for cross-platform validation. Patients were segregated into good or bad time to progression (greater/less than 12 months) and into good or bad survival (greater/less than 15 months). Mann-Whitney tests for good vs. bad prognosis and Kaplan-Meier analysis were used to detect prognosticator miRs. The biological effect of the identified prognostic miR was tested in 2 mesothelioma cell lines. Functional implications as well as downstream targets of the potential prognostic miR were investigated in vitro. Results: In both the training and test sets, one miR was an independent prognostic factor for time to progression as well as survival after surgical cytoreduction. The miR was expressed at higher levels in epithelial mesothelioma than in sarcomatoid cases, and the level of this miR could segregate patients with this histology into groups with differing prognosis. Thresholds set within the training set for microarray reading were fully valid in the test-set, as was the comparable threshold using qRT-PCR. Increased expression of this specific miR predicted throughout a more favorable prognosis, and overexpression of the miR in mesothelioma cell lines resulted in significantly decreased proliferation, migration, invasion, and colony formation. Moreover, major epigenetic regulatory genes, known in mesothelioma, are mediated by this miR as was demonstrated through downregulation of DNA methyltransferases as well as upregulation of demethylating genes. This suggests that a control mechanism might explain the clinical findings, supporting their validity. Conclusions: One miR has the potential to be a prognostic biomarker in mesothelioma and shows the ability to change proliferation, migration, invasion upon over-expression in mesothelioma cell lines. Further validation of these findings as well as investigation of its downstream targets may give insight for potential therapies in the future, by allowing personalized treatment for patients who are more to benefit. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4053.


Cancer Research | 2010

Abstract 1946: Identification of miRNAs that contribute to melanoma brain metastasis

Avital Gaziel; Silvia Menendez; Miguel F. Segura; Jan Zakrzewski; Amy E. Rose; Robert S. Kerbel; Farbod Darvishian; Dalia Cohen; Iman Osman; Eva Hernando

Brain metastasis occurs in a large proportion of metastatic melanoma patients and is associated with a dismal prognosis. However, the molecular mechanisms that govern melanoma tropism to the brain remain poorly understood. MicroRNAs (miRNAs) play essential roles in many physiological and pathological processes, and have been recently shown to exert key roles during cancer metastasis. In this study we find that specific miRNAs may be important mediators of melanoma dissemination to the brain. First, we conducted a miRNA microarray analysis of metastatic melanoma tissues that revealed a subset of miRNAs differentially expressed in brain metastases (n=11) relative to other sites (n=48). A brain-specific signature comprised of seven miRNAs was further validated in an independent cohort of metastatic melanoma samples (n=36; 9 brain metastatic specimens). Then, we analyzed the trend of expression of those miRNAs during tumor progression by comparing their levels in primary tumors and their paired metastasis from patients with or without recurrence in the brain (n=18). Differential expression of some miRNAs was already evident at diagnosis in primary tumors that recurred in the brain, while for others it was acquired in the transition from primary to metastasis, suggesting that it may be a later event in tumor progression. Furthermore, in vitro modulation of specific signature miRNAs significantly altered the ability of melanoma cells to execute processes such as adhesion and transmigration through human brain endothelial cells and proliferation in human astrocytes conditioned media. Additionally, using an in vivo model of melanoma brain metastasis, we confirmed the capacity of specific miRNA alterations to promote melanoma cells’ competence to reach the brain. Finally, the analysis of potential downstream mediators of select miRNAs revealed the involvement of immuno-suppressive molecules, as well as inflammatory and chemotactic mediators in this process. Collectively, our results expand our understanding of the mechanisms that control melanoma brain metastasis, potentially revealing novel therapeutic avenues for patients for whom no viable approaches are currently available. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1946.


Journal of Clinical Oncology | 2010

Prospective gene signature study using microRNA to predict the tissue of origin (ToO) in pts with cancer of unknown primary site (CUP).

Gauri R. Varadhachary; Tina Bocker Edmonston; S. Karanth; H. R. Carlson; D. Lebanony; Shai Rosenwald; Renato Lenzi; Yael Spector; Dalia Cohen; Martin N. Raber


Journal of Clinical Oncology | 2008

Differential diagnosis of mesothelioma using a microRNA assay

Hila Benjamin; Danit Lebanony; L. Cohen; E. Elyakim; Nitzan Rosenfeld; Ayelet Chajut; Dalia Cohen


Journal of Clinical Oncology | 2008

MicroRNAs as a diagnostic tool for differentiating squamous cell lung cancer from other non small cell lung cancers

Danit Lebanony; Hila Benjamin; Shlomit Gilad; J. Li; H. Cholakh; N. Shabes; Dalia Cohen; Mahesh Mansukhani

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