Lab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Collaborative Protein Technology Resource, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Clin Cancer Res. 2020 Feb 1;26(3):643-656. doi: 10.1158/1078-0432.CCR-19-2370. Epub 2019 Oct 3.
TGFβs are overexpressed in many advanced cancers and promote cancer progression through mechanisms that include suppression of immunosurveillance. Multiple strategies to antagonize the TGFβ pathway are in early-phase oncology trials. However, TGFβs also have tumor-suppressive activities early in tumorigenesis, and the extent to which these might be retained in advanced disease has not been fully explored.
A panel of 12 immunocompetent mouse allograft models of metastatic breast cancer was tested for the effect of neutralizing anti-TGFβ antibodies on lung metastatic burden. Extensive correlative biology analyses were performed to assess potential predictive biomarkers and probe underlying mechanisms.
Heterogeneous responses to anti-TGFβ treatment were observed, with 5 of 12 models (42%) showing suppression of metastasis, 4 of 12 (33%) showing no response, and 3 of 12 (25%) showing an undesirable stimulation (up to 9-fold) of metastasis. Inhibition of metastasis was immune-dependent, whereas stimulation of metastasis was immune-independent and targeted the tumor cell compartment, potentially affecting the cancer stem cell. Thus, the integrated outcome of TGFβ antagonism depends on a complex balance between enhancing effective antitumor immunity and disrupting persistent tumor-suppressive effects of TGFβ on the tumor cell. Applying transcriptomic signatures derived from treatment-naïve mouse primary tumors to human breast cancer datasets suggested that patients with breast cancer with high-grade, estrogen receptor-negative disease are most likely to benefit from anti-TGFβ therapy.
Contrary to dogma, tumor-suppressive responses to TGFβ are retained in some advanced metastatic tumors. Safe deployment of TGFβ antagonists in the clinic will require good predictive biomarkers.
TGFβ 在许多晚期癌症中过度表达,并通过抑制免疫监视等机制促进癌症进展。目前有多种拮抗 TGFβ 途径的策略正在进行早期肿瘤学试验。然而,TGFβ 在肿瘤发生的早期也具有肿瘤抑制作用,而这些作用在晚期疾病中保留的程度尚未得到充分探索。
对 12 种具有免疫能力的转移性乳腺癌小鼠同种异体移植模型进行了一系列研究,以测试中和抗 TGFβ 抗体对肺转移负担的影响。进行了广泛的相关生物学分析,以评估潜在的预测生物标志物并探究潜在机制。
观察到对抗 TGFβ 治疗的异质性反应,在 12 个模型中有 5 个(42%)显示转移抑制,12 个中有 4 个(33%)没有反应,而 12 个中有 3 个(25%)出现了不受欢迎的转移刺激(高达 9 倍)。转移抑制是免疫依赖性的,而转移刺激是免疫非依赖性的,靶向肿瘤细胞区室,可能影响癌症干细胞。因此,TGFβ 拮抗的综合结果取决于增强有效的抗肿瘤免疫和破坏 TGFβ 对肿瘤细胞的持续肿瘤抑制作用之间的复杂平衡。将来自未经治疗的小鼠原发性肿瘤的转录组特征应用于人类乳腺癌数据集表明,患有高级别、雌激素受体阴性疾病的乳腺癌患者最有可能从抗 TGFβ 治疗中获益。
与传统观点相反,TGFβ 的肿瘤抑制反应在一些晚期转移性肿瘤中仍然存在。TGFβ 拮抗剂在临床上的安全应用需要良好的预测生物标志物。