Suppr超能文献

理解和模拟转移生物学以改进对抗骨肉瘤进展的治疗策略。

Understanding and Modeling Metastasis Biology to Improve Therapeutic Strategies for Combating Osteosarcoma Progression.

作者信息

Fan Timothy M, Roberts Ryan D, Lizardo Michael M

机构信息

Comparative Oncology Research Laboratory, Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States.

Center for Childhood Cancer and Blood Disorders, Abigail Wexner Research Institute at Nationwide Children's Hospital, The James Comprehensive Cancer Center at The Ohio State University, Columbus, OH, United States.

出版信息

Front Oncol. 2020 Jan 31;10:13. doi: 10.3389/fonc.2020.00013. eCollection 2020.

Abstract

Osteosarcoma is a malignant primary tumor of bone, arising from transformed progenitor cells with osteoblastic differentiation and osteoid production. While categorized as a rare tumor, most patients diagnosed with osteosarcoma are adolescents in their second decade of life and underscores the potential for life changing consequences in this vulnerable population. In the setting of localized disease, conventional treatment for osteosarcoma affords a cure rate approaching 70%; however, survival for patients suffering from metastatic disease remain disappointing with only 20% of individuals being alive past 5 years post-diagnosis. In patients with incurable disease, pulmonary metastases remain the leading cause for osteosarcoma-associated mortality; yet identifying new strategies for combating metastatic progression remains at a scientific and clinical impasse, with no significant advancements for the past four decades. While there is resonating clinical urgency for newer and more effective treatment options for managing osteosarcoma metastases, the discovery of druggable targets and development of innovative therapies for inhibiting metastatic progression will require a deeper and more detailed understanding of osteosarcoma metastasis biology. Toward the goal of illuminating the processes involved in cancer metastasis, a convergent science approach inclusive of diverse disciplines spanning the biology and physical science domains can offer novel and synergistic perspectives, inventive, and sophisticated model systems, and disruptive experimental approaches that can accelerate the discovery and characterization of key processes operative during metastatic progression. Through the lens of trans-disciplinary research, the field of comparative oncology is uniquely positioned to advance new discoveries in metastasis biology toward impactful clinical translation through the inclusion of pet dogs diagnosed with metastatic osteosarcoma. Given the spontaneous course of osteosarcoma development in the context of real-time tumor microenvironmental cues and immune mechanisms, pet dogs are distinctively valuable in translational modeling given their faithful recapitulation of metastatic disease progression as occurs in humans. Pet dogs can be leveraged for the exploration of novel therapies that exploit tumor cell vulnerabilities, perturb local microenvironmental cues, and amplify immunologic recognition. In this capacity, pet dogs can serve as valuable corroborative models for realizing the science and best clinical practices necessary for understanding and combating osteosarcoma metastases.

摘要

骨肉瘤是一种原发性恶性骨肿瘤,起源于具有成骨细胞分化和类骨质生成能力的转化祖细胞。虽然骨肉瘤被归类为罕见肿瘤,但大多数被诊断出患有骨肉瘤的患者是十几岁的青少年,这凸显了这种易受影响的人群面临改变人生后果的可能性。在局限性疾病的情况下,骨肉瘤的传统治疗治愈率接近70%;然而,转移性疾病患者的生存率仍然令人失望,只有20%的患者在确诊后5年以上存活。在患有无法治愈疾病的患者中,肺转移仍然是骨肉瘤相关死亡的主要原因;然而,确定对抗转移进展的新策略在科学和临床方面仍处于僵局,在过去四十年中没有重大进展。虽然临床上迫切需要更新、更有效的治疗方案来管理骨肉瘤转移,但发现可药物作用靶点和开发抑制转移进展的创新疗法需要对骨肉瘤转移生物学有更深入、更详细的了解。为了阐明癌症转移所涉及的过程,一种融合生物学和物理科学领域等多学科的趋同科学方法可以提供新颖且协同的观点、创新且复杂的模型系统,以及能够加速发现和表征转移进展过程中关键过程的突破性实验方法。通过跨学科研究的视角,比较肿瘤学领域具有独特的优势,通过纳入被诊断患有转移性骨肉瘤的宠物狗,推进转移生物学的新发现,实现有影响力的临床转化。鉴于骨肉瘤在实时肿瘤微环境线索和免疫机制背景下的自然发展过程,宠物狗在转化模型中具有独特的价值,因为它们能如实地重现人类转移性疾病的进展。宠物狗可用于探索利用肿瘤细胞弱点、干扰局部微环境线索和增强免疫识别的新疗法。在此方面,宠物狗可以作为有价值的佐证模型,以实现理解和对抗骨肉瘤转移所需的科学和最佳临床实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a1b/7006476/ca18a6b1df69/fonc-10-00013-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验