CASE REPORT article
Front. Oncol.
Sec. Cancer Immunity and Immunotherapy
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1570796
This article is part of the Research TopicCommunity Series in The Immunosuppressive Tumor Microenvironment and Strategies to Revert its Immune Regulatory Milieu for Cancer Immunotherapy: Volume IIView all 11 articles
Diagnosis and Treatment of Giant thoracodorsal Liposarcoma: A Case Report
Provisionally accepted- 1Department of Breast and Thyroid Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- 2Department of Breast Surgery, The Second Hospital of Zhengzhou University, Zhengzhou, China
- 3Department of Ultrasonography, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China
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Rationale: Liposarcoma was a prevalent malignant tumor of soft tissue. But those in the thoracic and back regions are rare and surgery is particularly challenging due to their complex anatomical structures. Case presentation: A 90-year-old male was admitted to the hospital due to a massive lump in the thoracodorsal region. Computerized tomography imaging revealed a large heterogeneous lesion with lipid density in the left axillary chest wall area, with a maximum cross-sectional area of approximately 17.4Ă—14.2 cm, Histopathologic report showed a well differentiated liposarcoma. Clinical discussion: Early detection and timely intervention of liposarcoma are critical, particularly for large liposarcomas in thoracodorsal region because of the surrounding vital structures, such as the brachial plexus, axillary vein, and axillary artery. We found that the liposarcoma was infiltrated by M2 macrophages, with the central region exhibited high rates of M0 macrophages and Treg cells. This immunosuppressive tumor microenvironment may provide a potential target for the development of immunotherapeutic strategies.
Keywords: Giant liposarcoma, Tumor Microenvironment, Macrophages, Transcriptomic Analysis, Surgical excision
Received: 04 Feb 2025; Accepted: 23 Sep 2025.
Copyright: © 2025 Liu, Ren, Zhao, Wang, Zhao, Li, Li and Geng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xia Li, likaslyy@126.com
Yuyang Li, 15153169757@163.com
Chong Geng, chonggeng_1982@163.com
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