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Artificial Intelligence and Machine Learning Approaches in Designing Immunotherapy in Cancer. 人工智能和机器学习方法在设计癌症免疫疗法中的应用。
Q2 Medicine Pub Date : 2025-01-01 DOI: 10.1007/978-3-031-97242-3_2
Lokesh Seth, Colton Ladbury, Arya Amini

Artificial intelligence (AI) and machine learning (ML) are revolutionizing cancer immunotherapy by addressing the complex interplay between cancer and the immune system. This chapter explores how AI technologies enhance immunotherapy development across multiple domains: antibody design, response prediction, biomarker identification, and T-cell target discovery. In therapeutic antibody design, AI improves efficiency through predictive modeling of antibody-antigen interactions, structure prediction tools, generative models that create novel antibody sequences, and developability optimization. Clinical applications include AI-powered systems that predict immunotherapy responses using multi-omics data integration, helping distinguish pseudoprogression from true disease progression. Beyond conventional biomarkers like programmed cell death protein 1, AI enables identification of additional markers including tumor mutational burden, microsatellite instability, immune cell infiltration patterns, and novel genomic alterations. Multi-omics approaches leverage AI to synthesize diverse data types, uncovering complex biomarker signatures that more accurately predict treatment outcomes. For T-cell target identification, next-generation immunoediting platforms like Gritstone's EDGE™ system exemplify AI-powered approaches that precisely identify neoantigens by integrating sequencing technologies with sophisticated prediction algorithms (Table 2.1). These platforms support both personalized and shared antigen approaches to immunotherapy, potentially enhanced through integration with innate immune pathways. Despite remarkable progress, challenges persist in addressing tumor heterogeneity, immune evasion mechanisms, and technical limitations in prediction algorithms. The continued refinement of AI approaches, expansion to diverse cancer types, and integration with complementary therapeutic modalities represent promising future directions. Overall, AI and ML are poised to transform cancer immunotherapy by enabling more precise, effective, and personalized treatment approaches that harness the immune system's power against cancer.

人工智能(AI)和机器学习(ML)通过解决癌症与免疫系统之间复杂的相互作用,正在彻底改变癌症免疫治疗。本章探讨了人工智能技术如何在多个领域促进免疫治疗的发展:抗体设计、反应预测、生物标志物鉴定和t细胞靶点发现。在治疗性抗体设计中,AI通过抗体-抗原相互作用的预测建模、结构预测工具、创建新抗体序列的生成模型和可开发性优化来提高效率。临床应用包括使用多组学数据集成预测免疫治疗反应的人工智能系统,帮助区分假进展和真正的疾病进展。除了程序性细胞死亡蛋白1等传统生物标志物外,人工智能还可以识别其他标志物,包括肿瘤突变负担、微卫星不稳定性、免疫细胞浸润模式和新的基因组改变。多组学方法利用人工智能合成不同的数据类型,揭示复杂的生物标志物特征,更准确地预测治疗结果。对于t细胞靶标识别,下一代免疫编辑平台,如Gritstone的EDGE™系统,通过将测序技术与复杂的预测算法相结合,实现了人工智能驱动的方法,可以精确识别新抗原(表2.1)。这些平台支持个性化和共享抗原的免疫治疗方法,可能通过与先天免疫途径的整合而增强。尽管取得了显著进展,但在解决肿瘤异质性、免疫逃避机制和预测算法的技术限制方面仍然存在挑战。人工智能方法的不断完善,扩展到不同的癌症类型,并与互补的治疗方式相结合,代表了有希望的未来方向。总的来说,人工智能和机器学习将通过实现更精确、有效和个性化的治疗方法,利用免疫系统对抗癌症的能力,改变癌症免疫治疗。
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引用次数: 0
Phenotypic Plasticity, Non-genetic Mechanisms, and Immune Drug Resistance in Cancer. 癌症的表型可塑性、非遗传机制和免疫耐药性。
Q2 Medicine Pub Date : 2025-01-01 DOI: 10.1007/978-3-031-97242-3_14
Prakash Kulkarni, Sravani Ramisetty, Debora Bruno, TingTing Tan, Amartej Merla, Ravi Salgia

Cancer immunotherapy is a major advancement in the field. It works by stimulating the patient's immune system to recognize and destroy cancer cells. Several different types of cancer immunotherapies have been developed, such as T-cell therapy, immune checkpoint inhibitors, monoclonal antibodies, cancer vaccines, and many others, which can result in sustainable responses in patients with a wide range of metastatic diseases. Additionally, immunotherapy drugs are being combined with chemotherapy and other targeted therapies to treat a variety of cancer types. Despite the promising results, several challenges remain, such as the almost inevitable immune resistance, drug-related toxicity, and the lack of established and reliable predictive biomarkers to predict toxicity and/or discern a patient's response to immunotherapy. In this chapter, we summarize the mechanisms underlying cancer immunotherapy resistance, especially the contributions of phenotypic plasticity and the underlying non-genetic mechanisms. Furthermore, recent developments in preventing relapses following treatment so that the efficacy of immunotherapy can be improved are also briefly discussed. Finally, the positive impact of an interdisciplinary "Team Medicine" approach to personalize cancer immunotherapy for each patient is highlighted.

癌症免疫疗法是该领域的一大进步。它的工作原理是刺激病人的免疫系统识别并摧毁癌细胞。已经开发了几种不同类型的癌症免疫疗法,如t细胞疗法、免疫检查点抑制剂、单克隆抗体、癌症疫苗等,这些疗法可以在各种转移性疾病患者中产生持续的反应。此外,免疫治疗药物正在与化疗和其他靶向治疗相结合,以治疗各种类型的癌症。尽管取得了令人鼓舞的结果,但仍存在一些挑战,例如几乎不可避免的免疫耐药性,药物相关毒性,以及缺乏成熟可靠的预测性生物标志物来预测毒性和/或辨别患者对免疫治疗的反应。在本章中,我们总结了癌症免疫治疗抵抗的机制,特别是表型可塑性的贡献和潜在的非遗传机制。此外,预防治疗后复发的最新进展,使免疫治疗的疗效可以提高也简要讨论。最后,强调了跨学科“团队医学”方法对每位患者个性化癌症免疫治疗的积极影响。
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引用次数: 0
Colorectal Cancers and Immunotherapy. 结直肠癌和免疫治疗。
Q2 Medicine Pub Date : 2025-01-01 DOI: 10.1007/978-3-031-97242-3_5
Farzad Teymouri, Gagandeep Brar

Colorectal cancer (CRC) is a growing concern worldwide, particularly affecting younger populations in recent years. The progression of CRC involves diverse molecular pathways, each contributing to how the tumor behaves and responds to treatment. The immune system is crucial in detecting and destroying cancer cells, but tumors can avoid immune destruction through various strategies, such as altering antigen expression or reshaping their environment to suppress immune activity. These escape mechanisms have prompted the development of immunotherapy, which has significantly improved outcomes for patients with specific genetic profiles like microsatellite instability-high (MSI-H) or mismatch repair deficiency (dMMR). Drugs such as pembrolizumab, nivolumab, and others have demonstrated notable clinical benefits in these populations. Research is now expanding to evaluate immunotherapy in earlier stages of disease and in combination with other treatments like chemoradiation, even in patients without traditional predictive biomarkers. Ongoing studies are also exploring novel immune targets and combinations to enhance effectiveness and broaden access to these therapies. Understanding the interaction between tumor biology and the immune system is essential for advancing personalized care in CRC.

结直肠癌(CRC)在世界范围内日益受到关注,近年来尤其影响到年轻人群。结直肠癌的进展涉及多种分子途径,每种途径都有助于肿瘤的行为和对治疗的反应。免疫系统在检测和摧毁癌细胞方面至关重要,但肿瘤可以通过各种策略来避免免疫破坏,例如改变抗原表达或重塑其环境以抑制免疫活性。这些逃逸机制促进了免疫疗法的发展,免疫疗法显著改善了具有特定基因谱的患者的预后,如微卫星不稳定性高(MSI-H)或错配修复缺陷(dMMR)。pembrolizumab、nivolumab等药物在这些人群中已显示出显著的临床益处。目前的研究正在扩大,以评估疾病早期阶段的免疫疗法,以及与放化疗等其他治疗方法相结合,甚至是在没有传统预测性生物标志物的患者中。正在进行的研究也在探索新的免疫靶点和组合,以提高这些疗法的有效性并扩大其可及性。了解肿瘤生物学和免疫系统之间的相互作用对于推进结直肠癌的个性化护理至关重要。
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引用次数: 0
Immunotherapy in Renal Cell Carcinoma. 肾细胞癌的免疫治疗。
Q2 Medicine Pub Date : 2025-01-01 DOI: 10.1007/978-3-031-97242-3_13
Miguel Zugman, Salvador Jaime-Casas, Peter D Zang, Koral Shah, Charles B Nguyen

There have been tremendous advancements in immunotherapy approaches for patients with renal cell carcinoma (RCC) from the initial interleukin-2 era to the current immune checkpoint inhibitor (ICI) combinations. Several ICI-based therapies have greatly improved outcomes for patients with RCC with the potential for durable responses for a subset of patients. In this chapter, we review the data of key frontline ICI-based combinations for RCC in the metastatic setting and recent data on adjuvant immunotherapy. We also discuss recent data on the role of immunotherapy rechallenge following prior ICI treatment as well as emerging novel immunotherapy strategies with chimeric antigen receptor (CAR) T and gut microbiome interventions. Lastly, we highlight a multidisciplinary team-based approach for patients with RCC treated with ICI including management of immune-related adverse events as well as potential role of cytoreductive nephrectomy in an evolving treatment landscape.

从最初的白细胞介素-2时代到目前的免疫检查点抑制剂(ICI)组合,肾细胞癌(RCC)患者的免疫治疗方法已经取得了巨大的进步。几种基于ci的治疗方法极大地改善了RCC患者的预后,并可能对一部分患者产生持久的反应。在本章中,我们回顾了转移性RCC的关键一线基于ci的联合治疗数据和最近的辅助免疫治疗数据。我们还讨论了最近关于免疫治疗再挑战在既往ICI治疗后的作用的数据,以及新兴的嵌合抗原受体(CAR) T和肠道微生物组干预的新型免疫治疗策略。最后,我们强调了一种以多学科团队为基础的方法,用于接受ICI治疗的RCC患者,包括免疫相关不良事件的管理,以及细胞减减性肾切除术在不断发展的治疗前景中的潜在作用。
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引用次数: 0
Immunotherapy in Melanoma. 黑色素瘤的免疫治疗。
Q2 Medicine Pub Date : 2025-01-01 DOI: 10.1007/978-3-031-97242-3_9
Yan Xing, Helena T Wu, Swapnil Rajurkar, Tingting Tan, Vanessa Hsu

This chapter explores systemic treatment strategies for cutaneous melanoma across neoadjuvant, adjuvant, and Stage IV settings. Neoadjuvant therapy aims to reduce tumor burden pre-surgery, primarily using immune checkpoint inhibitors like nivolumab plus ipilimumab, showing promising response rates. Adjuvant therapy, post-resection, leverages immunotherapy (e.g., nivolumab) and targeted therapies (e.g., dabrafenib plus trametinib) to prevent recurrence in high-risk patients, improving relapse-free survival. Stage IV systemic treatment addresses metastatic disease, employing immunotherapy (nivolumab, pembrolizumab) and targeted mitogen-activated protein kinase (MAPK) pathway inhibitors (dabrafenib plus trametinib) for BRAF-mutant cases, while BRAF wild-type patients benefit from nivolumab-relatlimab or combination therapies. Tables summarize key regimens, efficacy, and toxicities. Content aligns with clinical guidelines, with updates on emerging therapies like tumor-infiltrating lymphocytes (TIL). These approaches enhance survival and treatment-free intervals, tailored to mutation status and disease stage.

本章探讨了皮肤黑色素瘤的新辅助、辅助和IV期治疗策略。新辅助治疗的目的是在手术前减少肿瘤负担,主要使用免疫检查点抑制剂,如nivolumab和ipilimumab,显示出有希望的反应率。术后辅助治疗利用免疫治疗(如纳武单抗)和靶向治疗(如达拉法尼加曲美替尼)预防高危患者复发,提高无复发生存率。IV期全身治疗针对转移性疾病,针对BRAF突变病例采用免疫治疗(nivolumab, pembrolizumab)和靶向丝裂原活化蛋白激酶(MAPK)途径抑制剂(dabrafenib + trametinib),而BRAF野生型患者则受益于nivolumab- relatlimumab或联合治疗。表格总结了主要的治疗方案、疗效和毒性。内容与临床指南保持一致,并更新了肿瘤浸润淋巴细胞(TIL)等新兴疗法。这些方法可根据突变状态和疾病阶段提高生存率和无治疗间隔。
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引用次数: 0
Novel Immune Modulatory Agents in the Treatment of Non-small Cell Lung Cancer. 新型免疫调节剂治疗非小细胞肺癌。
Q2 Medicine Pub Date : 2025-01-01 DOI: 10.1007/978-3-031-97242-3_8
Amanda Reyes, Matthew Lee

Lung cancer is the leading cause of cancer-related mortality worldwide. Non-small cell lung cancer (NSCLC) makes up the large majority of lung cancer diagnoses. After the discovery of immune modulators or immunotherapy, treatments that could utilize the patient's own immune system to target malignant cells, the landscape of lung cancer treatment, NSCLC in particular, has greatly evolved with vast improvements in outcomes and survival. Currently, immune checkpoint inhibitors (ICI) have had the greatest impact on the current treatment of non-driver mutated non-small cell lung cancer. Unfortunately, resistance to treatment whether primary or secondary, remains a concern. To overcome resistance, investigators have sought combination immune modulator treatments and have even identified novel agents to utilize, including adoptive cellular therapies, antibody-drug conjugates, and vaccines. Some of these agents have been more successful than others with combination strategies currently leading the way but there are some limitations. Other agents are early in development and will need to await further data before determining the impact on lung cancer treatment. Immunotherapy or immune modulatory agents remain an essential aspect of NSCLC treatment and continue to be the subject of novel research and development.

肺癌是全球癌症相关死亡的主要原因。非小细胞肺癌(NSCLC)占肺癌诊断的绝大多数。在发现免疫调节剂或免疫疗法后,利用患者自身免疫系统靶向恶性细胞的治疗方法,肺癌治疗的前景,特别是非小细胞肺癌,在预后和生存率方面有了巨大的改善。目前,免疫检查点抑制剂(ICI)对目前治疗非驱动突变非小细胞肺癌的影响最大。不幸的是,无论是原发性还是继发性,对治疗的耐药性仍然令人担忧。为了克服耐药性,研究人员已经寻求联合免疫调节剂治疗,甚至已经确定了新的药物,包括过继细胞疗法、抗体-药物偶联物和疫苗。其中一些药物比其他药物更成功,目前领先的是联合策略,但也有一些局限性。其他药物处于早期开发阶段,需要等待进一步的数据才能确定对肺癌治疗的影响。免疫治疗或免疫调节剂仍然是非小细胞肺癌治疗的一个重要方面,并继续成为新研究和发展的主题。
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引用次数: 0
Breast Cancer Immunotherapy: A Team Science Approach. 乳腺癌免疫治疗:团队科学方法。
Q2 Medicine Pub Date : 2025-01-01 DOI: 10.1007/978-3-031-97242-3_4
Max Duesberg, Alexis LeVee, Hannah Chang, Karen Tsai, Bridget Crossman, Marissa Tadi, Sharon Xu, Deric Wheeler, Irene Kang

Immunotherapy has reshaped the treatment landscape of several malignancies, including breast cancer. While historically considered less immunogenic, breast cancer-particularly the triple-negative subtype (TNBC)-has demonstrated responsiveness to immune checkpoint inhibitors (ICIs). TNBC is characterized by higher tumor mutational burden, elevated PD-L1 expression, and increased tumor-infiltrating lymphocytes, making it a leading focus of immunotherapy development. In metastatic TNBC with PD-L1 expression, trials such as KEYNOTE-355 have shown improvements in progression-free and overall survival with the addition of the ICI, pembrolizumab to chemotherapy, leading to regulatory approval. In early-stage TNBC, KEYNOTE-522 established a neoadjuvant chemotherapy plus ICI as the standard of care for stage II and III tumors. This was based on improved pathologic complete response and event-free survival in this pivotal clinical trial regardless of PD-L1 expression. ICIs in other subtypes, such as HER2-positive and hormone receptor-positive/HER2-negative disease, remain under active investigation. Ongoing studies are also exploring novel strategies including dual immune checkpoint blockade, cellular therapies (e.g., CAR-T, TILs), cancer vaccines, and rational combinations with targeted agents and antibody-drug conjugates (ADCs). Biomarkers such as PD-L1, tumor mutational burden, immune gene signatures, and the gut microbiome are being evaluated to refine patient selection and predict response. Additionally, effective management of immune-related toxicities is critical, particularly in curative-intent settings. As the role of immunotherapy expands, a multidisciplinary, biomarker-driven approach will be essential to optimize outcomes and broaden its applicability across breast cancer subtypes.

免疫疗法已经重塑了包括乳腺癌在内的几种恶性肿瘤的治疗格局。虽然历史上认为乳腺癌的免疫原性较低,但乳腺癌,特别是三阴性亚型(TNBC),已经证明对免疫检查点抑制剂(ICIs)有反应。TNBC具有较高的肿瘤突变负担、PD-L1表达升高、肿瘤浸润淋巴细胞增加等特点,成为免疫治疗发展的主要焦点。在PD-L1表达的转移性TNBC中,KEYNOTE-355等试验显示,在化疗中添加ICI、派姆单抗可改善无进展生存期和总生存期,从而获得监管部门的批准。在早期TNBC中,KEYNOTE-522建立了新辅助化疗加ICI作为II期和III期肿瘤的标准治疗。这是基于该关键临床试验中病理完全缓解和无事件生存的改善,而不管PD-L1表达如何。其他亚型的ICIs,如her2阳性和激素受体阳性/ her2阴性疾病,仍在积极调查中。正在进行的研究也在探索新的策略,包括双重免疫检查点阻断、细胞疗法(如CAR-T、TILs)、癌症疫苗,以及与靶向药物和抗体-药物偶联物(adc)的合理组合。生物标志物如PD-L1、肿瘤突变负担、免疫基因特征和肠道微生物组正在被评估,以改进患者选择和预测反应。此外,有效管理免疫相关毒性至关重要,特别是在治疗意图的环境中。随着免疫治疗作用的扩大,一种多学科、生物标志物驱动的方法对于优化结果和扩大其在乳腺癌亚型中的适用性至关重要。
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引用次数: 0
Cancer Immunotherapy-An Overview. 癌症免疫治疗综述
Q2 Medicine Pub Date : 2025-01-01 DOI: 10.1007/978-3-031-97242-3_1
Prakash Kulkarni, Dana Do, Sagun Shrestha, Benjamin Leach, Ravi Salgia

Immunotherapy has had a profound impact on how we treat cancer. Immunotherapy takes advantage of the body's immune system to combat the disease and is considered as one of the pillars of cancer care together with chemotherapy, radiation therapy, and surgery. This introductory chapter provides a brief overview of the different types of cancer immunotherapies currently available, their mechanisms of action, and the benefits and potential side effects. Despite the success of these emerging therapies, resistance remains a genuine concern. Thus, mechanisms of resistance to immunotherapy are also briefly discussed. In addition, an overview of the various combination therapies such as chemotherapy, radiation therapy, and targeted therapy, that are currently used in combination with cancer immunotherapy, is presented. Finally, the chapter highlights how a "Team Medicine" approach could enable all eligible cancer patients to receive this promising treatment to treat their respective cancer types. More, detailed information regarding the different immunotherapies as well as their combinations when applicable in different cancers is discussed in the ensuing chapters dedicated to individual cancer type.

免疫疗法对我们治疗癌症的方式产生了深远的影响。免疫疗法利用人体的免疫系统来对抗疾病,与化疗、放射治疗和手术一起被认为是癌症治疗的支柱之一。本导论章简要概述了目前可用的不同类型的癌症免疫疗法,它们的作用机制,益处和潜在的副作用。尽管这些新兴疗法取得了成功,但耐药性仍然是一个真正令人担忧的问题。因此,对免疫治疗的耐药机制也作了简要讨论。此外,还概述了目前与癌症免疫疗法联合使用的各种联合疗法,如化疗、放射治疗和靶向治疗。最后,本章强调了“团队医学”方法如何使所有符合条件的癌症患者接受这种有希望的治疗,以治疗他们各自的癌症类型。更多关于不同免疫疗法的详细信息,以及它们在不同癌症中适用的组合,将在随后的章节中讨论,专门针对不同的癌症类型。
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引用次数: 0
Immunotherapy in Glioblastoma. 胶质母细胞瘤的免疫治疗。
Q2 Medicine Pub Date : 2025-01-01 DOI: 10.1007/978-3-031-97242-3_6
Andrew Williams, Rimas V Lukas

Immunotherapies continue to hold promise for the treatment of glioblastoma, a malignant central nervous system tumor. Thus far, success utilizing this approach has been limited. Negative trials with vaccines and immune checkpoint inhibitors have been unable to demonstrate improvement in survival, however, they have provided insights into hurdles which need to be overcome. Ongoing investigations into modulation of the highly suppressed tumor immune microenvironment, direct simulation of the immune system for proinflammatory effect, and the use of cellular therapies will help inform future therapeutic directions.

免疫疗法继续为治疗恶性中枢神经系统肿瘤胶质母细胞瘤带来希望。到目前为止,利用这种方法的成功是有限的。疫苗和免疫检查点抑制剂的阴性试验无法证明生存率的改善,然而,它们为需要克服的障碍提供了见解。正在进行的对高度抑制的肿瘤免疫微环境的调节、对促炎作用的免疫系统的直接模拟以及细胞疗法的使用的研究将有助于为未来的治疗方向提供信息。
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引用次数: 0
Immunotherapy in Head and Neck Cancer. 头颈癌的免疫治疗。
Q2 Medicine Pub Date : 2025-01-01 DOI: 10.1007/978-3-031-97242-3_7
Bridget E Crossman, Regan L Harmon, Mari Iida, Candie Y Lin, Jennifer Yoon, Evan P Pisick, Ravi Salgia, Tiffany Glazer, Randall Kimple, Justine Yang Bruce, Deric Wheeler

Head and neck cancer (HNC) is the seventh most common cancer worldwide, with incidence growing every year. While the standard regimen of surgery, chemotherapy, radiotherapy, targeted anti-EGFR therapy, and immune checkpoint inhibition are effective in a subset of patients, therapeutic resistance is a persistent challenge for managing this disease. The use of immunotherapeutic agents to treat HNC has risen over recent years, with advances in immune checkpoint inhibition, targeted therapy with bispecific antibodies, modified cytokine delivery, adoptive cell therapy, and virus-based therapeutics making their way into clinical trials for HNC. This chapter also discusses ongoing investigations into combinatorial strategies and biomarkers aimed at improving outcomes for patients with HNC.

头颈癌(HNC)是全球第七大常见癌症,发病率每年都在增长。虽然手术、化疗、放疗、靶向抗egfr治疗和免疫检查点抑制的标准方案对一部分患者有效,但治疗耐药性是控制这种疾病的持续挑战。近年来,随着免疫检查点抑制、双特异性抗体靶向治疗、改良细胞因子递送、过继细胞治疗和基于病毒的治疗方法进入HNC的临床试验,免疫治疗剂治疗HNC的使用有所增加。本章还讨论了正在进行的旨在改善HNC患者预后的组合策略和生物标志物的研究。
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引用次数: 0
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Cancer treatment and research
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