Mohanty Vakul, Baran Natalia, Huang Yuefan, Ramage Cassandra L, Cooper Laurie M, He Shan, Iqbal Ramiz, Daher May, Tyner Jeffrey W, Mills Gordon B, Konopleva Marina, Chen Ken
Department of Bioinformatics and Computational biology, The University of Texas MD Anderson Cancer Center.
Department of Leukemia, The University of Texas MD Anderson Cancer Center.
bioRxiv. 2024 Jan 30:2024.01.27.577579. doi: 10.1101/2024.01.27.577579.
The venetoclax BCL2 inhibitor in combination with hypomethylating agents represents a cornerstone of induction therapy for older AML patients, unfit for intensive chemotherapy. Like other targeted therapies, venetoclax-based therapies suffer from innate and acquired resistance. While several mechanisms of resistance have been identified, the heterogeneity of resistance mechanism across patient populations is poorly understood. Here we utilized integrative analysis of transcriptomic and drug response data in AML patients to identify four transcriptionally distinct VEN resistant clusters (VR_C1-4), with distinct phenotypic, genetic and drug response patterns. VR_C1 was characterized by enrichment for differentiated monocytic- and cDC-like blasts, transcriptional activation of PI3K-AKT-mTOR signaling axis, and energy metabolism pathways. They showed sensitivity to mTOR and CDK inhibition. VR_C2 was enriched for mutations and associated with distinctive transcriptional suppression of expression. VR_C3 was characterized by enrichment for mutations and higher infiltration by cytotoxic T cells. This cluster showed transcriptional expression of erythroid markers, suggesting tumor cells mimicking erythroid differentiation, activation of JAK-STAT signaling, and sensitivity to JAK inhibition, which in a subset of cases synergized with venetoclax. VR_C4 shared transcriptional similarities with venetoclax-sensitive patients, with modest over-expression of interferon signaling. They were also characterized by high rates of mutations. Finally, we projected venetoclax-resistance states onto single cells profiled from a patient who relapsed under venetoclax therapy capturing multiple resistance states in the tumor and shifts in their abundance under venetoclax selection, suggesting that single tumors may consist of cells mimicking multiple VR_Cs contributing to intra-tumor heterogeneity. Taken together, our results provide a strategy to evaluate inter- and intra-tumor heterogeneity of venetoclax resistance mechanisms and provide insights into approaches to navigate further management of patients who failed therapy with BCL2 inhibitors.
维奈托克(venetoclax)这种BCL2抑制剂与低甲基化药物联合使用,是不适于强化化疗的老年急性髓系白血病(AML)患者诱导治疗的基石。与其他靶向治疗一样,基于维奈托克的治疗也存在先天性和获得性耐药。虽然已经确定了几种耐药机制,但对不同患者群体中耐药机制的异质性了解甚少。在这里,我们利用对AML患者转录组和药物反应数据的综合分析,确定了四个转录上不同的维奈托克耐药簇(VR_C1 - 4),它们具有不同的表型、遗传和药物反应模式。VR_C1的特征是分化的单核细胞样和cDC样母细胞富集、PI3K - AKT - mTOR信号轴的转录激活以及能量代谢途径。它们对mTOR和CDK抑制敏感。VR_C2富含突变,并与独特的表达转录抑制相关。VR_C3的特征是富含突变且细胞毒性T细胞浸润较高。该簇显示红系标志物的转录表达,表明肿瘤细胞模仿红系分化、JAK - STAT信号激活以及对JAK抑制敏感,在一部分病例中与维奈托克协同作用。VR_C4与维奈托克敏感患者具有转录相似性,干扰素信号有适度过表达。它们还具有高比例的突变特征。最后,我们将维奈托克耐药状态投射到一名在维奈托克治疗下复发的患者的单细胞图谱上,捕获了肿瘤中的多种耐药状态以及在维奈托克选择下它们丰度的变化,这表明单个肿瘤可能由模仿多个VR_C的细胞组成,导致肿瘤内异质性。综上所述,我们的结果提供了一种评估维奈托克耐药机制的肿瘤间和肿瘤内异质性的策略,并为指导BCL2抑制剂治疗失败患者的进一步管理方法提供了见解。