PO.ET03.04 · 实验与分子治疗

皮肤鳞状细胞癌高可塑性细胞状态对化疗和免疫检查点抑制剂治疗反应的表征

Characterization of high plasticity cell states in cutaneous squamous cell carcinoma in response to chemotherapy and immune checkpoint inhibitor treatments

编号 3104 展板 4 时间 4/20 02:00–05:00 区域 Section 17 主讲 Ramin Farhad, PhD
分会场 Overcoming Chemotherapy Resistance
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作者与单位 Authors & Affiliations

Ramin Farhad1, Di Wu1, Mark A. Taylor1, Allan Balmain2, Rosemary J. Akhurst3

1Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA,2Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA,3Department of Anatomy, University of California, San Francisco, San Francisco, CA

摘要 Abstract

中文摘要
皮肤鳞状细胞癌(cSCC)的治疗耐药和癌症复发很大程度上由遗传异质性和表型可塑性驱动。进入高可塑性、低增殖状态的肿瘤细胞常常逃避细胞毒性治疗,包括靶向有丝分裂的化疗药物,然而使这些转变得以发生并在治疗压力下维持这些状态的分子机制仍不明确。在此,我们旨在跨多种治疗方式识别、表征并最终破坏这些治疗难治性细胞状态。 我们在FVB小鼠中建立了化学诱导的cSCC模型,先给予单次起始剂量的DMBA,随后进行20周每两周一次的TPA促进。一旦肿瘤达到约1立方厘米,各队列被分配至不同的治疗方案,包括抗PD1免疫检查点阻断、顺铂、紫杉醇,以及纳入Pp2a抑制剂LB100的联合策略,以检验药物扰动是否能将有丝分裂静默的肿瘤细胞驱回增殖性、对治疗有反应的状态。 收集了正常皮肤、乳头状瘤、淋巴结和癌组织,并使用10x Genomics单细胞RNA测序平台对约900,000个细胞进行了分析,以绘制各治疗组中恶性、基质和免疫程序的全谱。正在进行的分析旨在解析与高可塑性状态相关的转录特征,识别治疗诱导和治疗特异性的状态转变,并定义在药物压力下产生的潜在逃避治疗的中间态。一个主要焦点是发现与高可塑性表型相关的元基因(metagene)特征,并评估这些分子程序是否可被调节或作为治疗靶点,以使肿瘤对常规或免疫治疗重新增敏。同时,我们还在检查免疫细胞丰度、活化状态和谱系特异性基因表达谱如何在各治疗组间发生变化,尤其是对抗PD1治疗的反应,以揭示肿瘤免疫微环境如何促进或抵消耐药性高可塑性细胞状态的出现。 这项工作旨在建立一个统一的机制框架,阐明可塑性驱动的耐药如何在cSCC中出现,并识别可能改善化疗和免疫治疗应答的治疗易感点,无论是在该疾病背景内还是之外。
查看英文原文 English abstract
Therapeutic resistance and cancer recurrence in cutaneous squamous cell carcinoma (cSCC) are strongly driven by genetic heterogeneity and phenotypic plasticity. Tumor cells that enter high-plasticity, low-proliferative states often evade cytotoxic therapies, including mitotic-targeting chemotherapeutics, yet the molecular mechanisms enabling these transitions and maintaining these states under therapeutic pressure remain poorly defined. Here, we seek to identify, characterize, and ultimately destabilize these therapy-refractory cell states across multiple treatment modalities. We developed a chemically induced cSCC model in FVB mice using a single initiating dose of DMBA followed by 20 weeks of biweekly TPA promotion. Once tumors reached approximately one cubic centimeter, cohorts were assigned to distinct therapeutic regimens, including anti-PD1 immune checkpoint blockade, cisplatin, paclitaxel, and combination strategies incorporating the Pp2a inhibitor LB100 to test whether pharmacologic perturbation can drive mitotically silent tumor cells back into a proliferative, therapy-responsive state. Normal skin, papillomas, lymph nodes, and carcinomas were collected and approximately 900,000 cells were profiled using the 10x Genomics single-cell RNA-sequencing platform to map the full spectrum of malignant, stromal, and immune programs across various treatment groups. Ongoing analysis aims to resolve transcriptional signatures associated with high-plasticity states, identify treatment-induced and treatment-specific state transitions, and define potential therapy-evading intermediates that arise under drug pressure. A major focus is the discovery of metagene signatures that correlate with high-plasticity phenotypes and the evaluation of whether these molecular programs can be modulated or therapeutically targeted to re-sensitize tumors to conventional or immune-based therapies. In parallel, we are also examining how immune cell abundance, activation states, and lineage-specific gene expression profiles shift across treatment arms, particularly in response to anti-PD1 therapy, to uncover how the tumor immune microenvironment contributes to or counteracts the emergence of resistant high-plasticity cell states. This work seeks to establish a unified mechanistic framework describing how plasticity-driven resistance emerges in cSCC and to identify points of therapeutic vulnerability that may improve responses to chemotherapy and immunotherapy both within and beyond this disease context.
利益披露 Disclosure
R. Farhad, None.. D. Wu, None.. M. A. Taylor, None.. A. Balmain, None.. R. J. Akhurst, None.

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