Immunohistochemistry (IHC) is a tool for visualizing protein expression employed as part of the diagnostic work-up for the majority of solid tissue malignancies. Existing IHC methods use antibodies tagged with fluorophores or enzyme reporters that generate colored pigments. Because these reporters exhibit spectral and spatial overlap when used simultaneously, multiplexed IHC is not routinely used in clinical settings. We have developed a method that uses secondary ion mass spectrometry to image antibodies tagged with isotopically pure elemental metal reporters. Multiplexed ion beam imaging (MIBI) is capable of analyzing up to 100 targets simultaneously over a five-log dynamic range. Here, we used MIBI to analyze formalin-fixed, paraffin-embedded (FFPE) human breast tumor tissue sections stained with ten labels simultaneously. The resulting data suggest that MIBI will provide new insights by integrating tissue microarchitecture with highly multiplexed protein expression patterns, and will be valuable for basic research, drug discovery and clinical diagnostics.

Hepatocellular carcinoma is generally refractory to clinical treatment. Here, we report that inactivation of the MYC oncogene is sufficient to induce sustained regression of invasive liver cancers. MYC inactivation resulted en masse in tumour cells differentiating into hepatocytes and biliary cells forming bile duct structures, and this was associated with rapid loss of expression of the tumour marker alpha-fetoprotein, the increase in expression of liver cell markers cytokeratin 8 and carcinoembryonic antigen, and in some cells the liver stem cell marker cytokeratin 19. Using in vivo bioluminescence imaging we found that many of these tumour cells remained dormant as long as MYC remain inactivated; however, MYC reactivation immediately restored their neoplastic features. Using array comparative genomic hybridization we confirmed that these dormant liver cells and the restored tumour retained the identical molecular signature and hence were clonally derived from the tumour cells. Our results show how oncogene inactivation may reverse tumorigenesis in the most clinically difficult cancers. Oncogene inactivation uncovers the pluripotent capacity of tumours to differentiate into normal cellular lineages and tissue structures, while retaining their latent potential to become cancerous, and hence existing in a state of tumour dormancy.

Animal models, particularly mouse models, play a central role in the study of the etiology, prevention and treatment of human prostate cancer (PCa). While tissue culture models are extremely useful in understanding the biology of PCa, they cannot recapitulate the complex cellular interactions within the tumor microenvironment that play a key role in cancer initiation and progression. The NCI Mouse Models of Human Cancers Consortium convened a group of human and veterinary pathologists to review the current animal models of PCa and make recommendations regarding the pathological analysis of these models. Over 40 different models with 439 samples were reviewed including genetically engineered mouse models, xenograft, rat and canine models. Numerous relevant models have been developed over the last 15 years and each approach has strengths and weaknesses. Analysis of multiple genetically engineered models has shown that reactive stroma formation is present in all the models developing invasive carcinomas. In addition, numerous models with multiple genetic alterations display aggressive phenotypes characterized by sarcomatoid carcinomas and metastases, which is presumably a histological manifestation of epithelial-mesenchymal transition. The significant progress in development of improved models of PCa has already accelerated our understanding the complex biology of PCa and promises to enhance development of new approaches to prevention, detection and treatment of this common malignancy.

Alteration in glycosylation has been observed in cancer. However, monitoring glycosylation changes during breast cancer progression is difficult in humans. In this study, we used a well-characterized transplantable breast tumor mouse model, the mouse mammary tumor virus-polyoma middle T antigen, to observe early changes in glycosylation. We have previously used the said mouse model to look at O-linked glycosylation changes with breast cancer. In this glycan biomarker discovery study, we examined N-linked glycan variations during breast cancer progression of the mouse model but this time doubling the number of mice and blood draw points. N-glycans from total mouse serum glycoproteins were profiled using matrix-assisted laser desorption/ionization Fourier transform-ion cyclotron resonance mass spectrometry at the onset, progression, and removal of mammary tumors. Breast cancer is the leading cause of cancer death and the most frequently diagnosed cancer among women worldwide (1). In the United States alone, ϳ40,000 deaths and 210,000 new cases were expected in 2010 (2). Incidence rates continue to rise especially in many developing and westernized countries. Unfortunately, early stages of breast cancer show no noticeable symptoms. Early diagnosis is critical because the chance of survival is greater in early stage (Stage I and II) breast cancer. It is estimated that 98% of U. S. women will survive longer than 5 years if the cancer is detected early. At late stages (Stages III and IV), however, only 28% will survive longer than 5 years (1).Currently, carbohydrate antigen 15-3 (CA 15-3) is the most common clinical serum marker for breast cancer. This marker uses immunoassay to detect MUC-1, a mucin glycoprotein overexpressed with breast cancer. Other markers for breast cancer include carcinoembryonic antigen, an anchored glycoprotein involved in cell adhesion, and CA 27.29, another MUC-1-derived glycoprotein marker. A common feature of these three markers is that all are proteins containing glycoforms.However, the current markers described above are not recommended by the American Society of Clinical Oncology as markers for screening, diagnostic, or staging tests for breast cancer (3). During the early stages of breast cancer, the sensitivity (i.e. patients correctly identified) of these markers is less than 25% (3-7). Moreover, the specificity (i.e. people without cancer correctly identified) is also problematic: up to 20%-30% of women without breast cancer, i.e. healthy individuals, women with benign breast lesions, people with benign diseases such as liver disease, and people with other types of advanced adenocarcinoma, have elevated levels of the said markers (3-7). Thus, an elevated marker level is not specific to breast cancer and may lead to false positive diagnoses for the healthy individual.Aberrant glycosylation is observed in the progression of many types of diseases, including different cancers (8, 9). Glycosylation, one of the most common forms of post-translational modification, is highly sensitive to ...

Histologic examination of tissues is central to the diagnosis and management of neoplasms and many other diseases, and is a foundational technique for preclinical and basic research. However, commonly used bright-field microscopy requires prior preparation of micrometre-thick tissue sections mounted on glass slides, a process that can require hours or days, that contributes to cost, and that delays access to critical information. Here, we introduce a simple, non-destructive slidefree technique that within minutes provides high-resolution diagnostic histological images resembling those obtained from conventional haematoxylin-and-eosin-histology. The approach, which we named microscopy with ultraviolet surface excitation (MUSE), can also generate shape and colour-contrast information. MUSE relies on ~280-nm ultraviolet light to restrict the excitation of conventional fluorescent stains to tissue surfaces, and it has no significant effects on downstream molecular assays (including fluorescence in situ hybridization and RNA-seq). MUSE promises to improve the speed and efficiency of patient care in both state-of-the-art and lowresource settings, and to provide opportunities for rapid histology in research. High-quality tissue microscopy is central to the diagnosis and management of neoplasms as well as other diseases. However, the bright-field (transmission) design of clinical Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:

Two cell lines, Met-1(fvb2) and DB-7(fvb2), with different metastatic potential, were derived from mammary carcinomas in FVB/N-Tg(MMTV-PyVmT) and FVB/N-Tg(MMTV-PyVmT ( Y315F/Y322F )) mice, transplanted into syngeneic FVB/N hosts and characterized. The lines maintain a stable morphological and biological phenotype after multiple rounds of in vitro culture and in vivo transplantation. The Met-1(fvb2) line derived from a FVB/N-Tg(MMTV-PyVmT) tumor exhibits invasive growth and 100% metastases when transplanted into the females FVB/N mammary fat pad. The DB-7(fvb2) line derived from the FVB/N-Tg(MMTV-PyVmT ( Y315F/Y322F )) with a "double base" modification at Y315F/Y322F exhibits more rapid growth when transplanted into the mammary fat pad, but a lower rate of metastasis (17%). The Met1(fvb2) cells show high activation of AKT, while DB-7(fvb2) cells show very low levels of AKT activation. The DNA content and gene expression levels of both cell lines are stable over multiple generations. Therefore, these two cell lines provide a stable, reproducible resource for the study of metastasis modulators, AKT molecular pathway interactions, and gene target and marker discovery.

Summary Neuroendocrine (NE) phenotype, seen in >30% of prostate adenocarcinomas (PCa), and NE prostate tumors are implicated in aggressive prostate cancer. Formation of NE prostate tumors in the TRAMP mouse model was suppressed in mice lacking the ubiquitin ligase Siah2, which regulates HIF-1α availability. Cooperation between HIF-1α and FoxA2, a transcription factor expressed in NE tissue, promotes recruitment of p300 to transactivate select HIF-regulated genes, Hes6, Sox9 and Jmjd1a. These HIF-regulated genes are highly expressed in metastatic PCa and required for hypoxia-mediated NE phenotype, metastasis in PCa and the formation of NE tumors. Tissue-specific expression of FoxA2 combined with Siah2-dependent HIF-1α availability enables a transcriptional program required for NE prostate tumor development and NE phenotype in PCa.

Because the glycosylation of proteins is known to change in tumor cells during the development of breast cancer, a glycomics approach is used here to find relevant biomarkers of breast cancer. These glycosylation changes are known to correlate with increasing tumor burden and poor prognosis. Current antibody-based immunochemical tests for cancer biomarkers of ovarian (CA125), breast (CA27.29 or CA15-3), pancreatic, gastric, colonic, and carcinoma (CA19-9) target highly glycosylated mucin proteins. However, these tests lack the specificity and sensitivity for use in early detection. This glycomics approach to find glycan biomarkers of breast cancer involves chemically cleaving oligosaccharides (glycans) from glycosylated proteins that are shed or secreted by breast cancer tumor cell lines. The resulting free glycan species are analyzed by MALDI-FT-ICR MS. Further structural analysis of the glycans can be performed in FTMS through the use of tandem mass spectrometry with infrared multiphoton dissociation. Glycan profiles were generated for each cell line and compared. These methods were then used to analyze sera obtained from a mouse model of breast cancer and a small number of serum samples obtained from human patients diagnosed with breast cancer or patients with no known history of breast cancer. In addition to the glycosylation changes detected in mice as mouse mammary tumors developed, glycosylation profiles were found to be sufficiently different to distinguish patients with cancer from those without. Although the small number of patient samples analyzed so far is inadequate to make any legitimate claims at this time, these promising but very preliminary results suggest that glycan profiles may contain distinct glycan biomarkers that may correspond to glycan "signatures of cancer." Molecular & Cellular Proteomics 6:43-55, 2007.