Expression of CD163 (Hemoglobin Scavenger Receptor) in Normal Tissues, Lymphomas, Carcinomas, and Sarcomas Is Largely Restricted to the Monocyte/Macrophage LineageTuDung T. Nguyen, Erich Schwartz, Robert B. West et al.|The American Journal of Surgical Pathology|2005 CD163, a hemoglobin scavenger receptor, is expressed in monocytes and macrophages. We tested the expression of the CD163 protein in 1,105 human malignancies and normal tissues using tissue microarrays and conventional paraffin-embedded tissue sections. Besides staining nonneoplastic monocytes and histiocytes (tissue macrophages), membranous/cytoplasmic staining for CD163 was primarily limited to neoplasms with monocytic/histiocytic differentiation. CD163 reactivity was not observed in normal tissues, lymphomas, carcinomas, and in a majority of mesenchymal neoplasms, including follicular dendritic cell tumors (0 of 4), although it stained admixed histiocytes. Staining for CD163 was seen in Rosai-Dorfman disease (5 of 6), histiocytic sarcoma (3 of 4), littoral cell angioma (6 of 6), and Langerhans cell histiocytosis (3 of 5). A subset of atypical fibrous histiocytomas (9 of 16), benign fibrous histiocytomas (6 of 9), and atypical fibroxanthomas (1 of 3) also showed CD163 staining. Our studies also confirm earlier work showing that CD163 is expressed in acute myeloid leukemia with monocytic differentiation (AML, FAB subtype M5) (2 of 6), as well as a majority of giant cell tenosynovial tumors (7 of 8). Its limited range of expression and tissue specificity indicate that CD163 may have significant diagnostic utility in separating specific tumors with monocytic and histiocytic derivation from other entities in their differential diagnosis.
Isolation and mutational analysis of circulating tumor cells from lung cancer patients with magnetic sifters and biochipsDetection and characterization of circulating tumor cells (CTCs) may reveal insights into the diagnosis and treatment of malignant disease. Technologies for isolating CTCs developed thus far suffer from one or more limitations, such as low throughput, inability to release captured cells, and reliance on expensive instrumentation for enrichment or subsequent characterization. We report a continuing development of a magnetic separation device, the magnetic sifter, which is a miniature microfluidic chip with a dense array of magnetic pores. It offers high efficiency capture of tumor cells, labeled with magnetic nanoparticles, from whole blood with high throughput and efficient release of captured cells. For subsequent characterization of CTCs, an assay, using a protein chip with giant magnetoresistive nanosensors, has been implemented for mutational analysis of CTCs enriched with the magnetic sifter. The use of these magnetic technologies, which are separate devices, may lead the way to routine preparation and characterization of “liquid biopsies” from cancer patients.
Diffuse High Intensity PD–L1 Staining in Thymic Epithelial TumorsAdenomatoid tumors of the female and male genital tracts: a clinicopathological and immunohistochemical study of 44 casesMolecular profiling of single circulating tumor cells from lung cancer patientsSeung Min Park, Dawson J. Wong, Chin Chun Ooi et al.|Proceedings of the National Academy of Sciences|2016 Circulating tumor cells (CTCs) are established cancer biomarkers for the "liquid biopsy" of tumors. Molecular analysis of single CTCs, which recapitulate primary and metastatic tumor biology, remains challenging because current platforms have limited throughput, are expensive, and are not easily translatable to the clinic. Here, we report a massively parallel, multigene-profiling nanoplatform to compartmentalize and analyze hundreds of single CTCs. After high-efficiency magnetic collection of CTC from blood, a single-cell nanowell array performs CTC mutation profiling using modular gene panels. Using this approach, we demonstrated multigene expression profiling of individual CTCs from non-small-cell lung cancer (NSCLC) patients with remarkable sensitivity. Thus, we report a high-throughput, multiplexed strategy for single-cell mutation profiling of individual lung cancer CTCs toward minimally invasive cancer therapy prediction and disease monitoring.