Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.
Its scope is unique. The term "oncotarget" encompasses all molecules, pathways, cellular functions, cell types, and even tissues that can be viewed as targets relevant to cancer as well as other diseases. The term was introduced in the inaugural Editorial, Introducing Oncotarget.
As of January 1, 2022, Oncotarget has shifted to a continuous publishing model. Papers will now be published continuously within yearly volumes in their final and complete form and then quickly released to Pubmed.
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Unlocking the Potential of Molecular-Driven Stratification of Osteosarcoma
FOR IMMEDIATE RELEASE 2023-03-20
“We are very enthusiastic about these initiatives and the recent rate of discoveries in OSA, and hopeful that they will bring actionable targets for OSA.”
Over the last 40 years, the complex genetic landscape, the heterogeneity of the microenvironment and the cell plasticity of Osteosarcoma (OSA) tumors have delayed the therapeutic and prognostic stratification of patients and the introduction of new efficient treatments.
As a direct consequence, the vast majority of trials still don’t benefit from a selection of OSA patient-based on molecular evidence before drug administration. This lack of stratification leads to difficult interpretation of outcome, especially with targeted agents such as multikinase inhibitors or anti-osteoclastic drugs.
“Meanwhile, fortunately, the accumulation of numerous sparse but converging observations from many research and clinical teams have progressively drawn a portrait of the resistant osteosarcoma that’s paved the way to new translational discoveries.”
In their new editorial, researchers Gaël Moquin-Beaudry, Maria Eugenia Marques da Costa, Nathalie Gaspar, and Antonin Marchais from Université Paris-Saclay discussed their recent study using unsupervised machine learning algorithms to classify OSA at diagnosis based on gene expression modules functionally enriched for immune microenvironment and tumor phenotypic traits.
“Recently, several important studies have described OSA molecularly at an unprecedent[ed] level of detail taking advantage of multiomics approaches and artificial intelligence [1–3].”
Keywords: multiomics, osteosarcoma, bone sarcoma, stratification
About Oncotarget: Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.
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