Discovery-based protein expression profiling identifies distinct subgroups and pathways in leiomyosarcomas

Quantitative proteomic studies addressing unmet clinical needs in sarcoma

Sarcoma is a rare and complex disease comprising over 80 malignant subtypes that is frequently characterized by poor prognosis. Challenges in clinical management include uncertainties in diagnosis and disease classification, limited prognostic and predictive biomarkers, incompletely understood disease heterogeneity among and within subtypes, lack of effective treatment options, and limited progress in identifying new drug targets and novel therapeutics. Proteomics refers to the study of the entire complement of proteins expressed in specific cells or tissues. Advances in proteomics have included the development of quantitative mass spectrometry (MS)-based technologies which enable analysis of large numbers of proteins with relatively high throughput, enabling proteomics to be studied on a scale that has not previously been possible. Cellular function is determined by the levels of various proteins and their interactions, so proteomics offers the possibility of new insights into cancer biology. Sarcoma proteomics therefore has the potential to address some of the key current challenges described above, but it is still in its infancy. This review covers key quantitative proteomic sarcoma studies with findings that pertain to clinical utility. Proteomic methodologies that have been applied to human sarcoma research are briefly described, including recent advances in MS-based proteomic technology. We highlight studies that illustrate how proteomics may aid diagnosis and improve disease classification by distinguishing sarcoma histologies and identify distinct profiles within histological subtypes which may aid understanding of disease heterogeneity. We also review studies where proteomics has been applied to identify prognostic, predictive and therapeutic biomarkers. These studies traverse a range of histological subtypes including chordoma, Ewing sarcoma, gastrointestinal stromal tumors, leiomyosarcoma, liposarcoma, malignant peripheral nerve sheath tumors, myxofibrosarcoma, rhabdomyosarcoma, synovial sarcoma, osteosarcoma, and undifferentiated pleomorphic sarcoma. Critical questions and unmet needs in sarcoma which can potentially be addressed with proteomics are outlined.

Proteomic research in sarcomas - current status and future opportunities

Sarcomas are a rare group of mesenchymal cancers comprising over 70 different histological subtypes. For the majority of these diseases, the molecular understanding of the basis of their initiation and progression remains unclear. As such, limited clinical progress in prognosis or therapeutic regimens have been made over the past few decades. Proteomics techniques are being increasingly utilised in the field of sarcoma research. Proteomic research efforts have thus far focused on histological subtype characterisation for the improvement of biological understanding, as well as for the identification of candidate diagnostic, predictive, and prognostic biomarkers for use in clinic. However, the field itself is in its infancy, and none of these proteomic research findings have been translated into the clinic. In this review, we provide a brief overview of the proteomic strategies that have been employed in sarcoma research. We evaluate key proteomic studies concerning several rare and ultra-rare sarcoma subtypes including, gastrointestinal stromal tumours, osteosarcoma, liposarcoma, leiomyosarcoma, malignant rhabdoid tumours, Ewing sarcoma, myxofibrosarcoma, and alveolar soft part sarcoma. Consequently, we illustrate how routine implementation of proteomics within sarcoma research, integration of proteomics with other molecular profiling data, and incorporation of proteomics into clinical trial studies has the potential to propel the biological and clinical understanding of this group of complex rare cancers moving forward.

Current status of proteomics of soft tissue sarcomas

INTRODUCTION

Proteomics has been used in soft tissue sarcoma (STS) research in the attempts to improve the understanding of the disease background and develop novel clinical applications. Using various proteomics modalities, aberrant regulations of numerous intriguing proteins were identified in STSs, and the possible utilities of identified proteins as biomarkers or therapeutic targets have been explored. STS is an exceptionally diverse group of malignant diseases with highly complex molecular backgrounds and, therefore, an overview of the achievements and prospects of STS proteomics could enhance our knowledge of the possibilities and limitations of cancer proteomics. Areas covered: This review examines all STSs that have been examined using proteomics modalities, discussing unique aspects, limitations, and possible improvements of individual reports. To contribute to the current progress in cancer treatment development using novel anti-cancer drugs, proteomics plays a central role in linking cutting-edge technologies, application of proteogenomics, patient-derived cancer models, and biobanking system. Expert commentary: Therefore, proteomic-based STS research will be developed as an interdisciplinary science. STS proteomics will be further developed based on the interaction of oncologists with basic researchers in various fields, aimed at obtaining an enhanced understanding of the biology of the disease and achieving superior clinical outcomes for patients.

Adipose-Induced Retroperitoneal Soft Tissue Sarcoma Tumorigenesis: A Potential Crosstalk between Sarcoma and Fat Cells

Previous data demonstrated that high retroperitoneal visceral fat content increases retroperitoneal soft-tissue sarcoma (RSTS) local recurrence and patients' mortality. Most RSTS tumors initiate and recur within visceral fat. The objective of the current study was to evaluate potential paracrine effects of visceral fat on RSTS. A xenograft model was used to evaluate in vivo effects of human visceral fat on STS growth. Tissue explants were prepared from visceral fat, and their conditioned medium (CM) was utilized for various in vitro experiments designed to evaluate growth, survival, migration, and invasion of STS and endothelial cells. Visceral fat-secreted protumorigenic factors were identified by mass spectrometry. The in vivo experiments demonstrated a significant increase in STS tumor growth rate when SK-LMS-1 leiomyosarcoma cells were colocalized with human visceral fat compared with subcutaneous injection of cancer cells only. The in vitro model demonstrated that visceral fat CM increased STS cellular growth and reduced doxorubicin-induced apoptosis. Visceral fat also enhanced STS cellular migration and invasion. In addition, visceral fat CM significantly increased endothelial cell tube formation, suggesting its role as a proangiogenic factor in the STS tumor microenvironment (TME). Using a robust proteomic approach, liquid chromatography and tandem mass spectrometry resolved various molecules within the visceral fat CM, of which a subset was associated with protumorigenic biologic processes. These results suggest that visceral fat directly interacts with STS cells by secreting specific adipokines into the TME, thus augmenting STS tumor cell proliferation and invasiveness. Fat-induced STS molecular deregulations should be studied to identify new potential prognostic and therapeutic targets.

IMPLICATIONS

Visceral fat induces protumorigenic effects, in STS, through various secreted factors that should be investigated to improve our understanding of adipose-cancer cell interactions. Mol Cancer Res; 14(12); 1254-65. ©2016 AACR.