Derivation and characterization of murine alternatively activated (M2) macrophages.

Diversity in macrophage responsiveness to inflammatory stimuli has resulted in the description of a new paradigm wherein macrophages are referred to as polarized into one of two distinct phenotypes, classically activated (M1) macrophages and alternatively activated (M2) macrophages. Classically activated, M1 or "killer" macrophages are thought to play a critical role in destroying foreign organisms and tumor cells, while alternatively activated M2 or "healer" macrophages are thought to be important in debris scavenging, wound healing, and angiogenesis. M2 macrophages may also play key roles in chronic infections, tumorigenesis, and tumor metastasis. It is therefore important to establish models of M1 and M2 polarized macrophages to study their characteristics and amenability to manipulation. M1 macrophages are typically derived from myeloid progenitors with murine macrophage-colony-stimulating factor (M-CSF, also known as CSF-1), while M2 macrophages are thought to be derived from mature M1 macrophages by treatment with interleukin-4 (IL-4) or IL-13. M2 macrophages can also be isolated from SH2-containing inositol 5'-phosphatase (SHIP)-/- mice by harvesting macrophages from peritoneal lavage fluids or they can be derived from SHIP-/- bone marrow aspirate cells with addition of 5% human serum. Upon stimulation with lipopolysaccharide (LPS), M1 macrophages produce high levels of proinflammatory cytokines, low levels of anti-inflammatory cytokines, and high levels of inducible nitric oxide synthase (iNOS), which leads to nitric oxide (NO) production. M2 macrophages, on the other hand, express high levels of M2 markers Ym1 and arginase I (ArgI) and, upon stimulation with LPS, produce relatively lower levels of proinflammatory cytokines and NO and higher levels of anti-inflammatory cytokines. In this chapter, we describe methods used in our laboratory to generate and characterize alternatively activated (M2) macrophages.

N-Glycoproteomics of Patient-Derived Xenografts: A Strategy to Discover Tumor-Associated Proteins in High-Grade Serous Ovarian Cancer.

High-grade serous ovarian carcinoma (HGSC) is the most common and lethal subtype of gynecologic malignancy in women. The current standard of treatment combines cytoreductive surgery and chemotherapy. Despite the efficacy of initial treatment, most patients develop cancer recurrence, and 70% of patients die within 5 years of initial diagnosis. CA125 is the current FDA-approved biomarker used in the clinic to monitor response to treatment and recurrence, but its impact on patient survival is limited. New strategies for the discovery of HGSC biomarkers are urgently needed. Here, we describe a proteomics strategy to detect tumor-associated proteins in serum of HGSC patient-derived xenograft models. We demonstrate proof-of-concept applicability using two independent, longitudinal serum cohorts from HGSC patients.

An organoid platform for ovarian cancer captures intra- and interpatient heterogeneity.

Ovarian cancer (OC) is a heterogeneous disease usually diagnosed at a late stage. Experimental in vitro models that faithfully capture the hallmarks and tumor heterogeneity of OC are limited and hard to establish. We present a protocol that enables efficient derivation and long-term expansion of OC organoids. Utilizing this protocol, we have established 56 organoid lines from 32 patients, representing all main subtypes of OC. OC organoids recapitulate histological and genomic features of the pertinent lesion from which they were derived, illustrating intra- and interpatient heterogeneity, and can be genetically modified. We show that OC organoids can be used for drug-screening assays and capture different tumor subtype responses to the gold standard platinum-based chemotherapy, including acquisition of chemoresistance in recurrent disease. Finally, OC organoids can be xenografted, enabling in vivo drug-sensitivity assays. Taken together, this demonstrates their potential application for research and personalized medicine.