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霍奇金淋巴瘤:一个具有肿瘤微环境糖酵解重编程的复杂代谢生态系统。

Hodgkin lymphoma: A complex metabolic ecosystem with glycolytic reprogramming of the tumor microenvironment.

作者信息

Mikkilineni Lekha, Whitaker-Menezes Diana, Domingo-Vidal Marina, Sprandio John, Avena Paola, Cotzia Paolo, Dulau-Florea Alina, Gong Jerald, Uppal Guldeep, Zhan Tingting, Leiby Benjamin, Lin Zhao, Pro Barbara, Sotgia Federica, Lisanti Michael P, Martinez-Outschoorn Ubaldo

机构信息

Department of Medical Oncology, National Cancer Institute, Bethesda, MD.

Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA.

出版信息

Semin Oncol. 2017 Jun;44(3):218-225. doi: 10.1053/j.seminoncol.2017.10.003. Epub 2017 Oct 10.

DOI:10.1053/j.seminoncol.2017.10.003
PMID:29248133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5737784/
Abstract

BACKGROUND

Twenty percent of patients with classical Hodgkin Lymphoma (cHL) have aggressive disease defined as relapsed or refractory disease to initial therapy. At present we cannot identify these patients pre-treatment. The microenvironment is very important in cHL because non-cancer cells constitute the majority of the cells in these tumors. Non-cancer intra-tumoral cells, such as tumor-associated macrophages (TAMs) have been shown to promote tumor growth in cHL via crosstalk with the cancer cells. Metabolic heterogeneity is defined as high mitochondrial metabolism in some tumor cells and glycolysis in others. We hypothesized that there are metabolic differences between cancer cells and non-cancer tumor cells, such as TAMs and tumor-infiltrating lymphocytes in cHL and that greater metabolic differences between cancer cells and TAMs are associated with poor outcomes.

METHODS

A case-control study was conducted with 22 tissue samples of cHL at diagnosis from a single institution. The case samples were from 11 patients with aggressive cHL who had relapsed after standard treatment with adriamycin, bleomycin, vinblastine, and dacarbazine (ABVD) or were refractory to this treatment. The control samples were from 11 patients with cHL who achieved a remission and never relapsed after ABVD. Reactive non-cancerous lymph nodes from four subjects served as additional controls. Samples were stained by immunohistochemistry for three metabolic markers: translocase of the outer mitochondrial membrane 20 (TOMM20), monocarboxylate transporter 1 (MCT1), and monocarboxylate transporter 4 (MCT4). TOMM20 is a marker of mitochondrial oxidative phosphorylation (OXPHOS) metabolism. Monocarboxylate transporter 1 (MCT1) is the main importer of lactate into cells and is a marker of OXPHOS. Monocarboxylate transporter 4 (MCT4) is the main lactate exporter out of cells and is a marker of glycolysis. The immunoreactivity for TOMM20, MCT1, and MCT4 was scored based on staining intensity and percentage of positive cells, as follows: 0 for no detectable staining in > 50% of cells; 1+ for faint to moderate staining in > 50% of cells, and 2+ for high or strong staining in > 50% of cells.

RESULTS

TOMM20, MCT1, and MCT4 expression was significantly different in Hodgkin and Reed Sternberg (HRS) cells, which are the cancerous cells in cHL compared with TAMs and tumor-associated lymphocytes. HRS have high expression of TOMM20 and MCT1, while TAMs have absent expression of TOMM20 and MCT1 in all but two cases. Tumor-infiltrating lymphocytes have low TOMM20 expression and absent MCT1 expression. Conversely, high MCT4 expression was found in TAMs, but absent in HRS cells in all but one case. Tumor-infiltrating lymphocytes had absent MCT4 expression. Reactive lymph nodes in contrast to cHL tumors had low TOMM20, MCT1, and MCT4 expression in lymphocytes and macrophages. High TOMM20 and MCT1 expression in cancer cells with high MCT4 expression in TAMs is a signature of high metabolic heterogeneity between cancer cells and the tumor microenvironment. A high metabolic heterogeneity signature was associated with relapsed or refractory cHL with a hazard ratio of 5.87 (1.16-29.71; two-sided P < .05) compared with the low metabolic heterogeneity signature.

CONCLUSION

Aggressive cHL exhibits features of metabolic heterogeneity with high mitochondrial metabolism in cancer cells and high glycolysis in TAMs, which is not seen in reactive lymph nodes. Future studies will need to confirm the value of these markers as prognostic and predictive biomarkers in clinical practice. Treatment intensity may be tailored in the future to the metabolic profile of the tumor microenvironment and drugs that target metabolic heterogeneity may be valuable in this disease.

摘要

背景

20%的经典型霍奇金淋巴瘤(cHL)患者患有侵袭性疾病,定义为对初始治疗复发或难治的疾病。目前,我们无法在治疗前识别出这些患者。微环境在cHL中非常重要,因为非癌细胞构成了这些肿瘤中细胞的大多数。肿瘤内非癌细胞,如肿瘤相关巨噬细胞(TAM),已被证明通过与癌细胞的相互作用促进cHL中的肿瘤生长。代谢异质性定义为一些肿瘤细胞中线粒体代谢高而另一些细胞中糖酵解高。我们假设cHL中的癌细胞与非癌肿瘤细胞(如TAM和肿瘤浸润淋巴细胞)之间存在代谢差异,并且癌细胞与TAM之间更大的代谢差异与不良预后相关。

方法

对来自单一机构的22例cHL诊断时的组织样本进行病例对照研究。病例样本来自11例侵袭性cHL患者,这些患者在接受阿霉素、博来霉素、长春花碱和达卡巴嗪(ABVD)标准治疗后复发或对该治疗难治。对照样本来自11例cHL患者,他们在接受ABVD治疗后缓解且从未复发。来自4名受试者的反应性非癌性淋巴结用作额外对照。样本通过免疫组织化学染色检测三种代谢标志物:线粒体外膜转位酶20(TOMM20)、单羧酸转运蛋白1(MCT1)和单羧酸转运蛋白4(MCT4)。TOMM20是线粒体氧化磷酸化(OXPHOS)代谢的标志物。单羧酸转运蛋白1(MCT1)是乳酸进入细胞的主要转运体,是OXPHOS的标志物。单羧酸转运蛋白4(MCT4)是乳酸从细胞中输出的主要转运体,是糖酵解的标志物。根据染色强度和阳性细胞百分比对TOMM20、MCT1和MCT4的免疫反应性进行评分,如下:超过50%的细胞无可检测染色为0;超过50%的细胞有淡至中度染色为1+,超过50%的细胞有高或强染色为2+。

结果

与TAM和肿瘤相关淋巴细胞相比,霍奇金和里德·斯特恩伯格(HRS)细胞(即cHL中的癌细胞)中TOMM20、MCT1和MCT4的表达存在显著差异。HRS细胞中TOMM20和MCT1高表达,而除两例外,TAM中TOMM20和MCT1均无表达。肿瘤浸润淋巴细胞中TOMM20表达低且MCT1无表达。相反,TAM中发现MCT4高表达,但除一例外,HRS细胞中均无表达。肿瘤浸润淋巴细胞中MCT4无表达。与cHL肿瘤相比,反应性淋巴结中的淋巴细胞和巨噬细胞中TOMM20、MCT1和MCT4表达低。癌细胞中TOMM20和MCT1高表达且TAM中MCT4高表达是癌细胞与肿瘤微环境之间高代谢异质性的特征。与低代谢异质性特征相比,高代谢异质性特征与复发或难治性cHL相关,风险比为5.87(1.16 - 29.71;双侧P <.05)。

结论

侵袭性cHL表现出代谢异质性特征,癌细胞中线粒体代谢高,TAM中糖酵解高,这在反应性淋巴结中未见。未来的研究需要证实这些标志物作为临床实践中预后和预测生物标志物的价值。未来可能会根据肿瘤微环境的代谢特征调整治疗强度,针对代谢异质性的药物可能对这种疾病有价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/b64df90c4df8/nihms912400f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/c33903bad4bf/nihms912400f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/8a0f32db186c/nihms912400f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/869c510ff7e0/nihms912400f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/12fa13d24436/nihms912400f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/b64df90c4df8/nihms912400f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/c33903bad4bf/nihms912400f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/8a0f32db186c/nihms912400f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/869c510ff7e0/nihms912400f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/12fa13d24436/nihms912400f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2586/5737784/b64df90c4df8/nihms912400f5.jpg

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