Osteosarcoma enters a post genomic era with in silico opportunities: Generation of the High Dimensional Database for facilitating sarcoma biology research: A report from the Children's Oncology Group and the QuadW Foundation

Osteosarcoma Explorer: A Data Commons With Clinical, Genomic, Protein, and Tissue Imaging Data for Osteosarcoma Research

PURPOSE

Osteosarcoma research advancement requires enhanced data integration across different modalities and sources. Current osteosarcoma research, encompassing clinical, genomic, protein, and tissue imaging data, is hindered by the siloed landscape of data generation and storage.

MATERIALS AND METHODS

Clinical, molecular profiling, and tissue imaging data for 573 patients with pediatric osteosarcoma were collected from four public and institutional sources. A common data model incorporating standardized terminology was created to facilitate the transformation, integration, and load of source data into a relational database. On the basis of this database, a data commons accompanied by a user-friendly web portal was developed, enabling various data exploration and analytics functions.

RESULTS

The Osteosarcoma Explorer (OSE) was released to the public in 2021. Leveraging a comprehensive and harmonized data set on the backend, the OSE offers a wide range of functions, including Cohort Discovery, Patient Dashboard, Image Visualization, and Online Analysis. Since its initial release, the OSE has experienced an increasing utilization by the osteosarcoma research community and provided solid, continuous user support. To our knowledge, the OSE is the largest (N = 573) and most comprehensive research data commons for pediatric osteosarcoma, a rare disease. This project demonstrates an effective framework for data integration and data commons development that can be readily applied to other projects sharing similar goals.

CONCLUSION

The OSE offers an online exploration and analysis platform for integrated clinical, molecular profiling, and tissue imaging data of osteosarcoma. Its underlying data model, database, and web framework support continuous expansion onto new data modalities and sources.

TPX2 regulated by miR‑29c‑3p induces cell proliferation in osteosarcoma via the AKT signaling pathway

The present study aimed to investigate the significance of targeting protein for Xenopus kinesin-like protein 2 (TPX2) expression in osteosarcoma. First, the TPX2 expression and survival analysis data were evaluated from The Cancer Genome Atlas (TCGA) database. Next, reverse transcription-quantitative PCR was used to explore the expression of TPX2 in osteosarcoma tissues. The observed potential target relationship between TPX2 and microRNA (miR)-29c-3p was verified using TargetScan and luciferase reporter assays. Kaplan-Meier survival analysis was used to determine associations between TPX2 expression levels and survival prognosis. TPX2 small interfering RNA was successfully constructed and transfected into osteosarcoma cell lines. The effects of TPX2 on osteosarcoma cell proliferation were then detected by MTT assay. In addition, the expression levels of AKT signaling pathway-associated proteins were identified by western blot analysis. The expression of TPX2 was upregulated and the expression of miR-29c-3p was downregulated in osteosarcoma. High expression of TPX2 was linked to a poor prognosis. Using luciferase assay and the miRNA mimic and inhibitors, miR-29c-3p was able to target and repress TPX2, and siRNA knockdown of TPX2 resulted in the inhibition of osteosarcoma cell proliferation by affecting the AKT pathway. Overall, the study showed that miR-29c-3p could inhibit the proliferation of osteosarcoma cells via TPX2 downregulation, and that TPX2 and miR-29c-3p may serve as promising prognostic indicators.

Advancing therapy for osteosarcoma

Improving the survival of patients with osteosarcoma has long proved challenging, although the treatment of this disease is on the precipice of advancement. The increasing feasibility of molecular profiling together with the creation of both robust model systems and large, well-annotated tissue banks has led to an increased understanding of osteosarcoma biology. The historical invariability of survival outcomes and the limited number of agents known to be active in the treatment of this disease facilitate clinical trials designed to identify efficacious novel therapies using small cohorts of patients. In addition, trial designs will increasingly consider the genetic background of the tumour through biomarker-based patient selection, thereby enriching for clinical activity. Indeed, osteosarcoma cells are known to express a number of surface proteins that might be of therapeutic relevance, including B7-H3, GD2 and HER2, which can be targeted using antibody-drug conjugates and/or adoptive cell therapies. In addition, immune-checkpoint inhibition might augment the latter approach by helping to overcome the immunosuppressive tumour microenvironment. In this Review, we provide a brief overview of current osteosarcoma therapy before focusing on the biological insights from the molecular profiling and preclinical modelling studies that have opened new therapeutic opportunities in this disease.

Establishment of a dynamic osteosarcoma biobank: Ruijin experience

Outcomes for patients with metastatic and recurrent osteosarcoma remain poor and a better understanding of the biology of this malignancy is critical to the development of prognostic biomarkers and novel therapies. The purpose of this study was to establish a biobank of osteosarcoma which has the potential of monitoring tumors dynamically with exosomes, to facilitate clinical and basic scientific research. The osteosarcoma biological specimen and clinical data of osteosarcoma were collected in Ruijin Hospital in two stages. In the first stage (2015-2017), the collection of tissue specimens and blood samples were performed at diagnostic biopsy, definitive surgery, recurrence and lung metastasis, according to the Children's Oncology Group protocol. In the second stage (2017-2019), the tissue specimens were collected the same as before, but the blood samples were collected at the beginning of each MAP-I (methotrexate, cisplatin, doxorubicin, ifosfamide) chemotherapy cycle, and every 6 months after the last chemotherapy up to 3 years, according to our modified protocol, to dynamically monitor the status of possible alteration of gene expression profiling in the osteosarcoma. A total of 268 patients with osteosarcoma were enrolled in this study, 161 were men and 107 were women, with the mean age of 24.51 ± 15.58 years. Local recurrence occurred in 29 patients and lung metastasis in 51. The numbers of tissue and blood specimens reached 360 and 1023, respectively. 11 specimens were from recurrent osteosarcoma and 25 were from lung metastasis. The corresponding clinical and demographic data were collected in our electronic database. The osteosarcoma biobank built with our modified protocol mentioned above has the potential of monitoring tumors dynamically with exosomes and could provide specimens to the researches improving the biological understanding and outcome of this disease.

The Effects of Ludartin on Cell Proliferation, Cell Migration, Cell Cycle Arrest and Apoptosis Are Associated with Upregulation of p21WAF1 in Saos-2 Osteosarcoma Cells In Vitro

BACKGROUND The aim of this study was investigate the effects of the sesquiterpene lactone, ludartin, on cell proliferation, cell migration, apoptosis, and the cell cycle in osteosarcoma cell lines, compared with a normal osteoblast cell line. MATERIAL AND METHODS Osteosarcoma cell lines, MG-63 Saos-2 U-2OS, T1-73 143B, and HOS, and normal hFOB 1.19 osteoblasts, were cultured and treated with increasing doses of ludartin, The MTT colorimetric assay was used to measure cell metabolic activity and viability. Apoptosis was studied by fluorescence-activated cell sorting (FACS) using 4',6-diamidino-2-phenylindole (DAPI) nuclear staining and Annexin-V/propidium iodide (PI) staining. Cell cycle was studied using flow cytometry. Cell migration and invasion were studied using wound healing and Boyden chamber assays. Protein expression was measured by Western blotting. RESULTS Ludartin inhibited cell viability, cell migration, cell proliferation, and increased cell apoptosis, in all osteosarcoma cell lines, with an IC50 dose ranging from 15-30 µM. The greatest effects were on the Saso-2 osteosarcoma cells, with an IC50 of 15 µM. However, ludartin showed minor cytotoxic effects of the normal hFOB 1.19 osteoblasts (IC50 >100 µM). Ludartin exerted its anti-proliferative effects on Saos-2 cells via induction of apoptosis and cell cycle arrest at the G2/M checkpoint, associated with reduced expression of Cdc25c (Ser216), Cdc25c, pCdc2 (Tyr15), and Cdc2 and increased expression of p21WAF1. Ludartin inhibited cell migration and invasion of the Saos-2 cells. CONCLUSIONS The dose-dependent effects of ludartin on cell proliferation, migration, apoptosis, cell cycle arrest at the G2/M checkpoint involved p21WAFI in Saos-2 osteosarcoma cells.

Osteosarcoma: Accelerating Progress Makes for a Hopeful Future

Patients who develop osteosarcoma in 2017 receive treatment that remains essentially unchanged since the 1970s. Outcomes likewise remain largely unimproved. Large, collaborative, multinational efforts to improve therapy have evaluated strategies leveraging both cytotoxic intensification and immunomodulatory agents. While these have confirmed our capacity to conduct such trials, results have proved largely disappointing. This has motivated efforts to focus on the basic biology of osteosarcoma, where understanding remains poor but has improved significantly. Recent advances have identified characteristic genetic features of osteosarcoma, including profound chromosomal disruption, marked patient-patient heterogeneity, and a paucity of recurrent mutations. Analyses suggest genesis in early catastrophic genetic events, although the nature of the inciting events remains unclear. While p53 and Rb inactivation occurs in most osteosarcomas, the landscape of associated driver mutations has proved extensive. Few mutations recur with high frequency, though patterns continue to emerge that suggest recurrent alterations within specific pathways. Biological pathways implicated in osteosarcoma biology through genetic and other preclinical studies include PI3K/mTOR, WNT/βcatenin, TGFβ, RANKL/NF-κB, and IGF. Unfortunately, clinical studies evaluating targeted agents have to date yielded disappointing results, as have studies examining modern immunotherapeutics. It remains unclear whether this pattern of clinical failures exposes inadequacies of our preclinical models, unrealistic expectations for single-agent responses in heavily pretreated patients, or biology less relevant than suggested. Nearly all patients who succumb to osteosarcoma develop lung metastases, which exhibit marked chemoresistance. Much scientific effort has recently sought to enhance our mechanistic understanding of metastasis biology. This research has potential to reveal novel targets for preventing and treating metastasis and for uncovering key vulnerabilities of osteosarcoma cells. Efforts to implement drug development strategies that leverage clinical studies in veterinary patients have potential to accelerate the translation of novel experimental regimens toward human studies. These could reduce costs and development timelines, prioritize agents, and refine regimens prior to human clinical trials. The rise of philanthropic groups focused on osteosarcoma has enhanced cross-disciplinary and cross-institutional focus and provided much needed resources. Transformative new therapies will likely arise from collaborative, interdisciplinary efforts that extend our understanding of osteosarcoma's most basic inner workings.