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基于数字成像的骨肉瘤细胞外骨基质和免疫微环境异质性评估预测治疗反应。

Intratumoral Heterogeneity Assessment of the Extracellular Bone Matrix and Immune Microenvironment in Osteosarcoma Using Digital Imaging to Predict Therapeutic Response.

机构信息

Department of Pathology, CHU, IUCT-Oncopole, University of Toulouse, Eq19. ONCOSARC CRCT, UMR 1037 Inserm/UT3, ERL 5294 CNRS, Toulouse, France.

Department of Pathology, CHU, IUCT-Oncopole, University of Toulouse, Eq19. ONCOSARC CRCT, UMR 1037 Inserm/UT3, ERL 5294 CNRS, Toulouse, France; Department of Pathology, CHU, Imag'IN Platform, IUCT-Oncopole, Toulouse, France.

出版信息

Lab Invest. 2024 Sep;104(9):102122. doi: 10.1016/j.labinv.2024.102122. Epub 2024 Aug 2.

DOI:10.1016/j.labinv.2024.102122
PMID:39098628
Abstract

The assessment of chemotherapy response in osteosarcoma (OS) based on the average percentage of viable cells is limited, as it overlooks the spatial heterogeneity of tumor cell response (foci of resistant cells), immune microenvironment, and bone microarchitecture. Despite the resulting positive classification for response to chemotherapy, some patients experience early metastatic recurrence, demonstrating that our conventional tools for evaluating treatment response are insufficient. We studied the interactions between tumor cells, immune cells (lymphocytes, histiocytes, and osteoclasts), and bone extracellular matrix (ECM) in 18 surgical resection samples of OS using multiplex and conventional immunohistochemistry (IHC: CD8, CD163, CD68, and SATB2), combined with multiscale characterization approaches in territories of good and poor response (GRT/PRT) to treatment. GRT and PRT were defined as subregions with <10% and ≥10% of viable tumor cells, respectively. Local correlations between bone ECM porosity and density of immune cells were assessed in these territories. Immune cell density was then correlated to overall patient survival. Two patterns were identified for histiocytes and osteoclasts. In poor responder patients, CD68 osteoclast density exceeded that of CD163 histiocytes but was not related to bone ECM load. Conversely, in good responder patients, CD163 histiocytes were more numerous than CD68 osteoclasts. For both of them, a significant negative local correlation with bone ECM porosity was found (P < .01). Moreover, in PRT, multinucleated osteoclasts were rounded and intermingled with tumor cells, whereas in GRT, they were elongated and found in close contact with bone trabeculae. CD8 levels were always low in metastatic patients, and those initially considered good responders rapidly died from their disease. The specific recruitment of histiocytes and osteoclasts within the bone ECM, and the level of CD8 represent new features of OS response to treatment. The associated prognostic signatures should be integrated into the therapeutic stratification algorithm of patients after surgery.

摘要

基于活细胞平均百分比评估骨肉瘤(OS)的化疗反应具有局限性,因为它忽略了肿瘤细胞反应的空间异质性(耐药细胞灶)、免疫微环境和骨微结构。尽管化疗反应的分类结果为阳性,但一些患者仍会早期发生转移复发,这表明我们评估治疗反应的传统工具还不够充分。我们使用多重免疫组化和传统免疫组化(IHC:CD8、CD163、CD68 和 SATB2)研究了 18 例骨肉瘤手术切除标本中肿瘤细胞、免疫细胞(淋巴细胞、组织细胞和破骨细胞)和骨细胞外基质(ECM)之间的相互作用,结合多尺度特征分析方法对治疗反应良好和不良的区域(GRT/PRT)进行了研究。GRT 和 PRT 分别定义为活肿瘤细胞<10%和≥10%的亚区。在这些区域评估了骨 ECM 孔隙率和免疫细胞密度之间的局部相关性。然后将免疫细胞密度与患者的总生存情况进行相关性分析。发现组织细胞和破骨细胞存在两种模式。在反应不良的患者中,CD68 破骨细胞密度超过 CD163 组织细胞,但与骨 ECM 负荷无关。相反,在反应良好的患者中,CD163 组织细胞比 CD68 破骨细胞更为丰富。对于这两种细胞,都与骨 ECM 孔隙率呈显著负相关(P<0.01)。此外,在 PRT 中,多核破骨细胞呈圆形,与肿瘤细胞混合,而在 GRT 中,破骨细胞呈长形,与骨小梁紧密接触。CD8 水平在转移性患者中始终较低,那些最初被认为是良好反应者的患者很快因疾病死亡。组织细胞和破骨细胞在骨 ECM 中的特异性募集以及 CD8 的水平是骨肉瘤对治疗反应的新特征。相关的预后标志物应纳入手术后患者的治疗分层算法中。

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