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Hereditary diffuse gastric cancer. 遗传性弥漫性胃癌。
2区 医学 Q1 Medicine Pub Date : 2023-02-01 DOI: 10.1016/S0065-230X(01)83002-5
A. Dunbier, P. Guilford
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引用次数: 13
Multi-CpG linear regression models to accurately predict paclitaxel and docetaxel activity in cancer cell lines. 多cpg线性回归模型准确预测紫杉醇和多西紫杉醇在癌细胞中的活性。
2区 医学 Q1 Medicine Pub Date : 2023-01-01 DOI: 10.1016/bs.acr.2022.12.005
Manny D Bacolod, Paul B Fisher, Francis Barany

The microtubule-targeting paclitaxel (PTX) and docetaxel (DTX) are widely used chemotherapeutic agents. However, the dysregulation of apoptotic processes, microtubule-binding proteins, and multi-drug resistance efflux and influx proteins can alter the efficacy of taxane drugs. In this review, we have created multi-CpG linear regression models to predict the activities of PTX and DTX drugs through the integration of publicly available pharmacological and genome-wide molecular profiling datasets generated using hundreds of cancer cell lines of diverse tissue of origin. Our findings indicate that linear regression models based on CpG methylation levels can predict PTX and DTX activities (log-fold change in viability relative to DMSO) with high precision. For example, a 287-CpG model predicts PTX activity at R2 of 0.985 among 399 cell lines. Just as precise (R2=0.996) is a 342-CpG model for predicting DTX activity in 390 cell lines. However, our predictive models, which employ a combination of mRNA expression and mutation as input variables, are less accurate compared to the CpG-based models. While a 290 mRNA/mutation model was able to predict PTX activity with R2 of 0.830 (for 546 cell lines), a 236 mRNA/mutation model could calculate DTX activity at R2 of 0.751 (for 531 cell lines). The CpG-based models restricted to lung cancer cell lines were also highly predictive (R2≥0.980) for PTX (74 CpGs, 88 cell lines) and DTX (58 CpGs, 83 cell lines). The underlying molecular biology behind taxane activity/resistance is evident in these models. Indeed, many of the genes represented in PTX or DTX CpG-based models have functionalities related to apoptosis (e.g., ACIN1, TP73, TNFRSF10B, DNASE1, DFFB, CREB1, BNIP3), and mitosis/microtubules (e.g., MAD1L1, ANAPC2, EML4, PARP3, CCT6A, JAKMIP1). Also represented are genes involved in epigenetic regulation (HDAC4, DNMT3B, and histone demethylases KDM4B, KDM4C, KDM2B, and KDM7A), and those that have never been previously linked to taxane activity (DIP2C, PTPRN2, TTC23, SHANK2). In summary, it is possible to accurately predict taxane activity in cell lines based entirely on methylation at multiple CpG sites.

微管靶向紫杉醇(PTX)和多西紫杉醇(DTX)是目前广泛应用的化疗药物。然而,凋亡过程、微管结合蛋白、多药耐药外排和内流蛋白的失调可改变紫杉烷类药物的疗效。在这篇综述中,我们建立了多cpg线性回归模型,通过整合公开可用的药理学和全基因组分子分析数据集来预测PTX和DTX药物的活性,这些数据集来自数百种不同来源组织的癌细胞系。研究结果表明,基于CpG甲基化水平的线性回归模型可以高精度地预测PTX和DTX活性(相对于DMSO活力的对数倍变化)。例如,一个287-CpG模型预测399个细胞系的PTX活性R2为0.985。同样精确(R2=0.996)的是342-CpG模型,用于预测390个细胞系的DTX活性。然而,我们的预测模型采用mRNA表达和突变的组合作为输入变量,与基于cpg的模型相比,准确性较低。290 mRNA/突变模型预测PTX活性的R2为0.830(546个细胞系),236 mRNA/突变模型计算DTX活性的R2为0.751(531个细胞系)。基于cpg的肺癌细胞系模型对PTX (74 CpGs, 88细胞系)和DTX (58 CpGs, 83细胞系)也具有较高的预测能力(R2≥0.980)。紫杉烷活性/抗性背后的潜在分子生物学在这些模型中是显而易见的。事实上,PTX或DTX cpg模型中所代表的许多基因具有与凋亡(例如,ACIN1, TP73, TNFRSF10B, DNASE1, DFFB, CREB1, BNIP3)和有丝分裂/微管(例如,MAD1L1, ANAPC2, EML4, PARP3, CCT6A, JAKMIP1)相关的功能。也有参与表观遗传调控的基因(HDAC4、DNMT3B和组蛋白去甲基化酶KDM4B、KDM4C、KDM2B和KDM7A),以及那些以前从未与紫杉烷活性相关的基因(DIP2C、PTPRN2、TTC23、SHANK2)。总之,完全基于多个CpG位点的甲基化,准确预测紫杉烷在细胞系中的活性是可能的。
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引用次数: 0
Preface. 前言。
2区 医学 Q1 Medicine Pub Date : 2023-01-01 DOI: 10.1016/S0065-230X(23)00035-0
Joseph W Landry, Swadesh K Das, Paul B Fisher
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引用次数: 0
Protein disulfide isomerase family mediated redox regulation in cancer. 蛋白二硫异构酶家族介导的癌症氧化还原调节。
2区 医学 Q1 Medicine Pub Date : 2023-01-01 Epub Date: 2023-07-18 DOI: 10.1016/bs.acr.2023.06.001
Zhi-Wei Ye, Jie Zhang, Muhammad Aslam, Anna Blumental-Perry, Kenneth D Tew, Danyelle M Townsend

Protein disulfide isomerase (PDI) and its superfamilies are mainly endoplasmic reticulum (ER) resident proteins with essential roles in maintaining cellular homeostasis, via thiol oxidation/reduction cycles, chaperoning, and isomerization of client proteins. Since PDIs play an important role in ER homeostasis, their upregulation supports cell survival and they are found in a variety of cancer types. Despite the fact that the importance of PDI to tumorigenesis remains to be understood, it is emerging as a new therapeutic target in cancer. During the past decade, several PDI inhibitors has been developed and commercialized, but none has been approved for clinical use. In this review, we discuss the properties and redox regulation of PDIs within the ER and provide an overview of the last 5 years of advances regarding PDI inhibitors.

蛋白质二硫键异构酶(PDI)及其超家族主要是内质网(ER)驻留蛋白,通过巯基氧化/还原循环、伴侣作用和客户蛋白异构化,在维持细胞稳态中发挥重要作用。由于PDIs在ER稳态中起着重要作用,它们的上调支持细胞存活,并且在多种癌症类型中都有发现。尽管PDI对肿瘤发生的重要性仍有待了解,但它正在成为癌症的一个新的治疗靶点。在过去的十年里,已经开发并商业化了几种PDI抑制剂,但没有一种被批准用于临床。在这篇综述中,我们讨论了PDI在ER中的性质和氧化还原调节,并概述了过去5年PDI抑制剂的进展。
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引用次数: 0
Role of tumor cell sialylation in pancreatic cancer progression. 肿瘤细胞ialylation 在胰腺癌进展中的作用。
2区 医学 Q1 Medicine Pub Date : 2023-01-01 Epub Date: 2022-09-27 DOI: 10.1016/bs.acr.2022.07.003
Michael P Marciel, Barnita Haldar, Jihye Hwang, Nikita Bhalerao, Susan L Bellis

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignancies and is currently the third leading cause of cancer death. The aggressiveness of PDAC stems from late diagnosis, early metastasis, and poor efficacy of current chemotherapies. Thus, there is an urgent need for effective biomarkers for early detection of PDAC and development of new therapeutic strategies. It has long been known that cellular glycosylation is dysregulated in pancreatic cancer cells, however, tumor-associated glycans and their cognate glycosylating enzymes have received insufficient attention as potential clinical targets. Aberrant glycosylation affects a broad range of pathways that underpin tumor initiation, metastatic progression, and resistance to cancer treatment. One of the prevalent alterations in the cancer glycome is an enrichment in a select group of sialylated glycans including sialylated, branched N-glycans, sialyl Lewis antigens, and sialylated forms of truncated O-glycans such as the sialyl Tn antigen. These modifications affect the activity of numerous cell surface receptors, which collectively impart malignant characteristics typified by enhanced cell proliferation, migration, invasion and apoptosis-resistance. Additionally, sialic acids on tumor cells engage inhibitory Siglec receptors on immune cells to dampen anti-tumor immunity, further promoting cancer progression. The goal of this review is to summarize the predominant changes in sialylation occurring in pancreatic cancer, the biological functions of sialylated glycoproteins in cancer pathogenesis, and the emerging strategies for targeting sialoglycans and Siglec receptors in cancer therapeutics.

胰腺导管腺癌(PDAC)是最致命的恶性肿瘤之一,目前是导致癌症死亡的第三大原因。PDAC 的侵袭性源于诊断晚、转移早以及目前化疗效果差。因此,迫切需要有效的生物标志物来早期检测 PDAC 和开发新的治疗策略。众所周知,胰腺癌细胞中的细胞糖基化失调由来已久,然而,作为潜在的临床靶点,肿瘤相关聚糖及其同源糖基化酶却没有得到足够的重视。糖基化异常会影响多种途径,而这些途径是肿瘤发生、转移和抗癌治疗的基础。癌症糖基化结果中的一个普遍变化是一组精选的糖基化聚糖的富集,包括糖基化、支化的 N-聚糖、糖基化 Lewis 抗原和糖基化形式的截短 O-聚糖,如糖基化 Tn 抗原。这些修饰会影响许多细胞表面受体的活性,共同赋予细胞恶性特征,如细胞增殖、迁移、侵袭和抗凋亡能力增强。此外,肿瘤细胞上的ialic acids 与免疫细胞上的抑制性 Siglec 受体结合,抑制抗肿瘤免疫,进一步促进癌症进展。本综述旨在总结胰腺癌中发生的主要糖基化变化、糖基化糖蛋白在癌症发病机制中的生物学功能,以及在癌症治疗中靶向糖基化聚糖和 Siglec 受体的新兴策略。
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引用次数: 0
Head and neck cancer treatment in the era of molecular medicine. 癌症分子医学时代的头颈部治疗。
2区 医学 Q1 Medicine Pub Date : 2023-01-01 Epub Date: 2023-04-12 DOI: 10.1016/bs.acr.2023.03.004
Subramanya Pandruvada, Remi Kessler, Ann Thai

Head and neck cancers are a heterogeneous group of highly aggressive tumors and collectively represent the sixth most common cancer worldwide. Most head and neck cancers are squamous cell carcinomas (HNSCCs). Current multimodal treatment concepts combine surgery, chemotherapy, irradiation, immunotherapy, and targeted therapeutics. Recent scientific advancements have enabled a more precise molecular characterization of HNSCC and revealed novel therapeutic targets and prognostic/predictive biomarkers. Notably, HNSCC is characterized by complex relations between stromal, epithelial, and immune cells within the tumor microenvironment (TME). The TME consists of different subsets of immune cells that infiltrate the tumors and interact with the tumor cells or with each other. Understanding multiple pivotal factors in HNSCC tumorigenesis and tumor progression may help define novel targets and develop more effective therapies for patients. This review provides a comprehensive overview of the latest advances in the molecular biology of HNSCC and their effects on clinical oncology; it is meant for a broad readership in the head and neck cancers field.

头颈癌是一组高度侵袭性的异质性肿瘤,是全球第六大最常见的癌症。大多数头颈癌是鳞状细胞癌(HNSCC)。目前的多模式治疗概念结合了手术、化疗、放疗、免疫疗法和靶向治疗。最近的科学进步使HNSCC能够更精确地进行分子表征,并揭示了新的治疗靶点和预后/预测生物标志物。值得注意的是,HNSCC的特征是肿瘤微环境(TME)中基质细胞、上皮细胞和免疫细胞之间的复杂关系。TME由不同的免疫细胞亚群组成,这些免疫细胞浸润肿瘤并与肿瘤细胞相互作用或相互作用。了解HNSCC肿瘤发生和肿瘤进展的多种关键因素可能有助于确定新的靶点,并为患者开发更有效的治疗方法。本文综述了HNSCC分子生物学的最新进展及其对临床肿瘤学的影响;它是为头颈癌领域的广大读者准备的。
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引用次数: 1
Identification of a seven-gene signature and establishment of a prognostic nomogram predicting overall survival of triple-negative breast cancer 鉴定七基因标记和建立预测三阴性乳腺癌总生存的预后nomogram
2区 医学 Q1 Medicine Pub Date : 2023-01-01 DOI: 10.53388/2023623014
Wanlin Li, Jian Wang, Xin Li
Background: Triple-negative breast cancer (TNBC) is a highly heterogeneous breast cancer subtype characterized by the absence of expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). TNBC exhibits resistance to hormone and HER2-targeted therapy, along with a higher incidence of recurrence and poorer prognosis. Therefore, exploring the molecular features of TNBC and constructing prognostic models are of significant importance for personalized treatment strategies. Methods: In this research, bioinformatics approaches were utilized to screen differentially expressed genes in 405 TNBC cases and 128 normal tissue samples from 8 GEO datasets. Key core genes and signaling pathways were further identified. Additionally, a prognostic model incorporating seven genes was established using clinical and pathological information from 169 TNBC cases in the TCGA dataset, and its predictive performance was evaluated. Results: Functional analysis revealed dysregulated biological processes such as DNA replication, cell cycle, and mitotic chromosome separation in TNBC. Protein-protein interaction network analysis identified ten core genes, including BUB1, BUB1B, CDK1, CDC20, CDCA8, CCNB1, CCNB2, KIF2C, NDC80, and CENPF. A prognostic model consisting of seven genes (EXO1, SHCBP1, ABRACL, DMD, THRB, DCDC2, and APOD) was established using a step-wise Cox regression analysis. The model demonstrated good predictive performance in distinguishing patients’ risk. Conclusion: This research provides important insights into the molecular characteristics of TNBC and establishes a reliable prognostic model for understanding its pathogenesis and predicting prognosis. These findings contribute to the advancement of personalized treatment for TNBC.
背景:三阴性乳腺癌(TNBC)是一种高度异质性的乳腺癌亚型,其特征是雌激素受体(ER)、孕激素受体(PR)和人表皮生长因子受体2 (HER2)缺乏表达。TNBC表现出对激素和her2靶向治疗的耐药性,同时复发率较高,预后较差。因此,探索TNBC的分子特征,构建预后模型,对制定个性化治疗策略具有重要意义。方法:采用生物信息学方法,从8个GEO数据集中筛选405例TNBC病例和128例正常组织样本的差异表达基因。进一步鉴定关键核心基因和信号通路。此外,利用TCGA数据集中169例TNBC病例的临床和病理信息,建立了包含7个基因的预后模型,并对其预测性能进行了评估。结果:功能分析揭示了TNBC中DNA复制、细胞周期和有丝分裂染色体分离等生物学过程的失调。蛋白-蛋白相互作用网络分析鉴定出10个核心基因,包括BUB1、BUB1B、CDK1、CDC20、CDCA8、CCNB1、CCNB2、KIF2C、NDC80和CENPF。采用逐步Cox回归分析建立由7个基因(EXO1、SHCBP1、ABRACL、DMD、THRB、DCDC2和APOD)组成的预后模型。该模型在区分患者风险方面表现出良好的预测性能。结论:本研究对TNBC的分子特征有重要的认识,为了解TNBC的发病机制和预测预后建立了可靠的预后模型。这些发现有助于推进TNBC的个性化治疗。
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引用次数: 0
Chemoresistance in pancreatic ductal adenocarcinoma: Overcoming resistance to therapy. 胰腺导管腺癌的耐药性:克服治疗阻力。
2区 医学 Q1 Medicine Pub Date : 2023-01-01 Epub Date: 2023-04-18 DOI: 10.1016/bs.acr.2023.02.010
Praveen Bhoopathi, Padmanabhan Mannangatti, Swadesh K Das, Paul B Fisher, Luni Emdad

Pancreatic ductal adenocarcinoma (PDAC), a prominent cause of cancer deaths worldwide, is a highly aggressive cancer most frequently detected at an advanced stage that limits treatment options to systemic chemotherapy, which has provided only marginal positive clinical outcomes. More than 90% of patients with PDAC die within a year of being diagnosed. PDAC is increasing at a rate of 0.5-1.0% per year, and it is expected to be the second leading cause of cancer-related mortality by 2030. The resistance of tumor cells to chemotherapeutic drugs, which can be innate or acquired, is the primary factor contributing to the ineffectiveness of cancer treatments. Although many PDAC patients initially responds to standard of care (SOC) drugs they soon develop resistance caused partly by the substantial cellular heterogeneity seen in PDAC tissue and the tumor microenvironment (TME), which are considered key factors contributing to resistance to therapy. A deeper understanding of molecular mechanisms involved in PDAC progression and metastasis development, and the interplay of the TME in all these processes is essential to better comprehend the etiology and pathobiology of chemoresistance observed in PDAC. Recent research has recognized new therapeutic targets ushering in the development of innovative combinatorial therapies as well as enhancing our comprehension of several different cell death pathways. These approaches facilitate the lowering of the therapeutic threshold; however, the possibility of subsequent resistance development still remains a key issue and concern. Discoveries, that can target PDAC resistance, either alone or in combination, have the potential to serve as the foundation for future treatments that are effective without posing undue health risks. In this chapter, we discuss potential causes of PDAC chemoresistance and approaches for combating chemoresistance by targeting different pathways and different cellular functions associated with and mediating resistance.

胰腺导管腺癌(PDAC)是全球癌症死亡的一个主要原因,它是一种侵袭性极强的癌症,最常在晚期发现,治疗方法仅限于全身化疗,而化疗只能提供微弱的临床疗效。超过 90% 的 PDAC 患者在确诊后一年内死亡。PDAC 正以每年 0.5-1.0% 的速度增加,预计到 2030 年,它将成为癌症相关死亡率的第二大原因。肿瘤细胞对化疗药物的耐药性可能是先天性的,也可能是后天获得的,这是导致癌症治疗无效的主要因素。尽管许多 PDAC 患者最初对标准治疗(SOC)药物有反应,但他们很快就会产生耐药性,部分原因是 PDAC 组织和肿瘤微环境(TME)中存在大量细胞异质性,这被认为是导致耐药性的关键因素。要更好地理解 PDAC 中化疗耐药性的病因和病理生物学,就必须深入了解 PDAC 进展和转移发展的分子机制以及 TME 在所有这些过程中的相互作用。最近的研究发现了新的治疗靶点,从而促进了创新组合疗法的开发,并加深了我们对几种不同细胞死亡途径的理解。这些方法有助于降低治疗门槛,但随后可能出现的耐药性仍是一个关键问题和关注点。针对 PDAC 抗药性的发现,无论是单独使用还是联合使用,都有可能成为未来有效治疗的基础,而不会对健康造成不必要的风险。在本章中,我们将讨论 PDAC 化疗耐药性的潜在原因,以及通过靶向与耐药性相关和介导耐药性的不同途径和不同细胞功能来对抗化疗耐药性的方法。
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引用次数: 0
Epigenetic adaptations in drug-tolerant tumor cells. 耐药肿瘤细胞的表观遗传适应。
2区 医学 Q1 Medicine Pub Date : 2023-01-01 DOI: 10.1016/bs.acr.2022.12.006
Nilanjana Mani, Ankita Daiya, Rajdeep Chowdhury, Sudeshna Mukherjee, Shibasish Chowdhury

Traditional chemotherapy against cancer is often severely hampered by acquired resistance to the drug. Epigenetic alterations and other mechanisms like drug efflux, drug metabolism, and engagement of survival pathways are crucial in evading drug pressure. Herein, growing evidence suggests that a subpopulation of tumor cells can often tolerate drug onslaught by entering a "persister" state with minimal proliferation. The molecular features of these persister cells are gradually unraveling. Notably, the "persisters" act as a cache of cells that can eventually re-populate the tumor post-withdrawal drug pressure and contribute to acquiring stable drug-resistant features. This underlines the clinical significance of the tolerant cells. Accumulating evidence highlights the importance of modulation of the epigenome as a critical adaptive strategy for evading drug pressure. Chromatin remodeling, altered DNA methylation, and de-regulation of non-coding RNA expression and function contribute significantly to this persister state. No wonder targeting adaptive epigenetic modifications is increasingly recognized as an appropriate therapeutic strategy to sensitize them and restore drug sensitivity. Furthermore, manipulating the tumor microenvironment and "drug holiday" is also explored to maneuver the epigenome. However, heterogeneity in adaptive strategies and lack of targeted therapies have significantly hindered the translation of epigenetic therapy to the clinics. In this review, we comprehensively analyze the epigenetic alterations adapted by the drug-tolerant cells, the therapeutic strategies employed to date, and their limitations and future prospects.

传统的癌症化疗往往受到获得性耐药性的严重阻碍。表观遗传改变和其他机制如药物外排、药物代谢和参与生存途径是逃避药物压力的关键。在此,越来越多的证据表明,肿瘤细胞亚群通常可以通过进入最小增殖的“持久”状态来耐受药物攻击。这些持久性细胞的分子特征正在逐渐揭示。值得注意的是,“持久者”作为细胞的缓存,最终可以在停药后重新填充肿瘤,并有助于获得稳定的耐药特征。这强调了耐受性细胞的临床意义。越来越多的证据强调了表观基因组调节作为逃避药物压力的关键适应策略的重要性。染色质重塑、DNA甲基化改变和非编码RNA表达和功能的去调控对这种持续状态有重要作用。难怪靶向适应性表观遗传修饰越来越被认为是使它们增敏和恢复药物敏感性的适当治疗策略。此外,还探索了操纵肿瘤微环境和“药物假期”来操纵表观基因组。然而,适应性策略的异质性和靶向治疗的缺乏严重阻碍了表观遗传治疗的临床应用。在这篇综述中,我们全面分析了耐药细胞适应的表观遗传改变,迄今为止采用的治疗策略,以及它们的局限性和未来前景。
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引用次数: 3
Microsomal glutathione transferase 1 in cancer and the regulation of ferroptosis. 癌症中的微粒体谷胱甘肽转移酶1与脱铁症的调节。
2区 医学 Q1 Medicine Pub Date : 2023-01-01 Epub Date: 2023-07-21 DOI: 10.1016/bs.acr.2023.05.001
Jie Zhang, Zhi-Wei Ye, Ralf Morgenstern, Danyelle M Townsend, Kenneth D Tew

Microsomal glutathione transferase 1 (MGST1) is a member of the MAPEG family (membrane associated proteins in eicosanoid and glutathione metabolism), defined according to enzymatic activities, sequence motifs, and structural properties. MGST1 is a homotrimer which can bind three molecules of glutathione (GSH), with one modified to a thiolate anion displaying one-third-of-sites-reactivity. MGST1 has both glutathione transferase and peroxidase activities. Each is based on stabilizing the GSH thiolate in the same active site. MGST1 is abundant in the liver and displays a broad subcellular distribution with high levels in endoplasmic reticulum and mitochondrial membranes, consistent with a physiological role in protection from reactive electrophilic intermediates and oxidative stress. In this review paper, we particularly focus on recent advances made in understanding MGST1 activation, induction, broad subcellular distribution, and the role of MGST1 in apoptosis, ferroptosis, cancer progression, and therapeutic responses.

微粒体谷胱甘肽转移酶1(MGST1)是MAPEG家族(类二十烷和谷胱甘肽代谢中的膜相关蛋白)的成员,根据酶活性、序列基序和结构特性进行定义。MGST1是一种同源三聚体,可以结合三个谷胱甘肽(GSH)分子,其中一个被修饰为硫醇盐阴离子,显示出三分之一的位点反应性。MGST1同时具有谷胱甘肽转移酶和过氧化物酶活性。每一种都是基于在相同的活性位点中稳定GSH硫代物。MGST1在肝脏中含量丰富,在内质网和线粒体膜中表现出广泛的亚细胞分布和高水平,与保护免受反应性亲电中间体和氧化应激的生理作用一致。在这篇综述中,我们特别关注在理解MGST1的激活、诱导、广泛的亚细胞分布以及MGST1在细胞凋亡、脱铁症、癌症进展和治疗反应中的作用方面的最新进展。
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引用次数: 0
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